Intelligent Machines 864 transcript

Please be advised that this transcript is AI-generated and may not be word-for-word. Time codes refer to the approximate times in the ad-free version of the show.

Paris Martineau [00:00:00]:
It's time for Intelligent Machines. Jeff Jarvis is here. Paris Martin. Oh, two. Our guest, Katie Lee, is the editor in chief of a very interesting new newsletter, slash AI site called Every to. She says AI and writing go together like cheese and crackers. We'll also talk about new rules from the governor of California, 15% of Americans who say, yeah, I'd work for an AI boss. And the big Claude code leak.

Leo Laporte [00:00:30]:
All that coming up next on Intelligent Machines, podcasts you love from people you trust. This is twit. This is Intelligent Machines with Paris Martineau and Jeff Jarvis. Episode 864, recorded Wednesday, April 1, 2026, and Artemis 2. It's time for Intelligent Machines. Hello, everybody. This is the show where we talk about AI robotics, all those smart doodads all around us. Let me introduce Paris Martineau, investigative journalist at Consumer Reports.

Leo Laporte [00:01:09]:
And you're. Why are you wearing a retro baseball hat? Is it because opening day happened or is just.

Paris Martineau [00:01:15]:
You know, I thought about. I thought you were going to ask me about this. When I put on the hat, I just haven't brushed my hair. And so I was like, I need to wear some sort of hat. But literally, as I was logging on, I was like, is it strange to wear a hat while recording a podcast? And I think, no. But I don't know.

Leo Laporte [00:01:33]:
You'll be the guest P for podcast.

Jeff Jarvis [00:01:35]:
What's the P?

Leo Laporte [00:01:36]:
Maybe that's it.

Paris Martineau [00:01:36]:
You're the podcast.

Leo Laporte [00:01:37]:
The Pittsburgh podcast.

Paris Martineau [00:01:38]:
People often ask me. They're like, oh, are you a Pittsburgh fan? I'm like, no. Someone just bought me this hat because it has a P on it. My name is Paris.

Leo Laporte [00:01:45]:
Oh, it's the Paris hat, of course. There you go. Anyway, great to see you as you're trouncing me one more time and cross that cross play thing.

Paris Martineau [00:01:55]:
Hey, you thought I was gonna win this one. You should have considered yourself lucky when I wasn't responding. That was your time to strategize.

Leo Laporte [00:02:04]:
Oh, man, you clobbered me with your last play or two plays ago. Also here, Mr. Jeff Jarvis. He is the author of the Gutenberg Parenthesis now in Paperback magazine, and of course, the new one, Hot Type, which is on pre order at jeffjarvis.com, the story of the line of type, and it is a drama. He is, of course, the emeritus professor of journalistic innovation at the Craig Newmark Graduate School of Journalism at the city of the University of New York, Newark. Ah, but you know what? We have a very special guest today because she discovered Jeff back when he was an unknown, unsung blogger Kate Lee is here. Hi, Kate. It's great to see you.

Kate Lee [00:02:44]:
Hi. Thanks for having me.

Leo Laporte [00:02:46]:
At the very young age of 24, you became a literary agent famed for bringing bloggers. And this is what this is early days of blogging.

Kate Lee [00:02:58]:
Right in the very early days

Leo Laporte [00:03:02]:
to the literary world. Now editor in chief of a very interesting site called Every at Every to, which is for every two, I guess.

Kate Lee [00:03:16]:
Yes, yes.

Leo Laporte [00:03:19]:
Great to have you. And I really should let your discover your protege, Mr. Jarvis, handle this interview because.

Jeff Jarvis [00:03:28]:
No, no, no, no, no, no, no, no, no.

Kate Lee [00:03:30]:
I'm the protege.

Jeff Jarvis [00:03:31]:
Oh, no, no.

Leo Laporte [00:03:32]:
He's your. You're his.

Jeff Jarvis [00:03:33]:
He's.

Leo Laporte [00:03:34]:
Well, I. No, Jeff was known beforehand as a TV critic.

Jeff Jarvis [00:03:40]:
Well, well, it's actually, it's because of Kate that this show that I came to you. Leo.

Leo Laporte [00:03:45]:
No, really, how did that happen?

Paris Martineau [00:03:46]:
Really?

Jeff Jarvis [00:03:47]:
Well, because Kate was my agent, so. So I talked to Kate about. About books, about this technology thing. And originally the original idea was when I had interviewed or I had heard Mark Zuckerberg say that you should bring elegant organization, people's lives. Kate thought, well, maybe there's a book in that. And I tried to start writing, I thought. And then as we're talking, I said of, you know, what would Google do? And that became the book which Kate sold to Harper Harper. And then it was because of that book that Julio laporte called me and said, why don't we do a podcast about.

Leo Laporte [00:04:20]:
Because we were going to do a podcast called this Week in Google. And well, clearly the guy who wrote what would Google Do? Should know a little bit about it.

Jeff Jarvis [00:04:30]:
And then Kate went on to other. I'm fascinated by Kate's career because she went on to other things that tied culture and technology. She was the editorial hire by Ev Williams at Medium.

Leo Laporte [00:04:43]:
The very first.

Jeff Jarvis [00:04:44]:
The very first. And. And dealt with a whiplash of EVs changing ideas every morning. And then content at WeWork, which was an effort upon them, and then at Stripe as the publisher of its book outlet, and now at every. And so, Kate Rashid. I haven't talked about this, but I think it's really interesting to see how you're trying to bring culture to technology or technology to culture, one way or the other. How well do they mix?

Kate Lee [00:05:18]:
It's an interesting question, especially now where I feel like technology is culture in so many ways, and technology occupies a place in popular culture more now perhaps, than it ever did. I always thought of what I was trying to do was. Was like, I loved media. I love the media world. I love the tech world. How do I bridge those in a way that, that worked for me, that I found, you know, interesting and stimulating and satisfying? I think what is, you know, again, where I really see it now is. And it's not just that it's, you know, in 2026, but that, that, you know, technology is culture. And you see technology companies knowing that they have a place and they have an audience and that they have things that they want to say and feel like they can say and they want to say it to an audience and it's a really interesting time.

Leo Laporte [00:06:18]:
Let me ask about Every, because Every didn't. It just started out as newsletters, right.

Kate Lee [00:06:23]:
Every was founded in 2020 in the boomlet of newsletters starting with Substack and with the Pandemic. And it started really business and technology writing, high quality business and technology writing. And the aspiration was to become really an institution for really great writing on these topics. It was never sort of scoop driven. It was never about beat reporting. It was about analysis, commentary and insights. First person insights from practitioners and the builders who are in tech.

Leo Laporte [00:07:06]:
But at some point there was a little bit of a pivot which must have been pretty controversial. The focus became AI and your content is AI generated. Well, human plus AI. Right. Facilitated, facilitated, powered by OpenClaw. Oh, wait a minute. This is the new product?

Kate Lee [00:07:25]:
Yeah, that's the latest product.

Leo Laporte [00:07:26]:
Yeah.

Kate Lee [00:07:27]:
Oh, are you on the waitlist? Did you get on the waitlist?

Leo Laporte [00:07:30]:
I did not get on the waitlist, but I am a subscriber to Every Point two. So there are lots of articles chiefly focusing I think on kind of AI use in enterprise. In fact, you have a consulting business doing that. Articles like build your own Bloomberg terminal with AI. Which is, which is great.

Kate Lee [00:07:52]:
The Bloomberg terminal. Out of my dead hands. Yeah,

Leo Laporte [00:07:58]:
but the fact that you not only am. Have AI assist, but embrace it and, and it's part of your kind of code of ethics and everything is, I think for some kind of shocking. That's not journalism. How do your writers feel? Well, they must love it, otherwise it wouldn't be there, right?

Kate Lee [00:08:18]:
Well, it, it's, it depends and I think it's, it's not necessarily one size fits all. I will say we pivoted to AI. It wasn't, at least initially, it was not, you know, a big business strategy. It was just because our Co founder and CEO Dan Shipper, who you saw before, you know, GPT3 came out and it was mind blowing and he was incredibly fascinated by it and he is a writer as well as a CEO and founder and you know, coder and a podcaster and podcaster who wears many hats. And he just decided for himself that he wanted to spend three months going deep on ChatGPT. That's just what he wanted to write about. And that's also when we started the pod, the podcast that he helms called AI and I, the initial name of the podcast actually for about, I don't know, the first six months at least, was called how do you use ChatGPT? And it literally was just talking to people and it was Tyler Cowen and, and Jeffrey Litt and you know, an amazing array of, of guests. But it was, you know, it was just focused on ChatGPT and that.

Kate Lee [00:09:31]:
So it really stemmed from a personal, a sort of personal obsession and personal interest in like this technology is transformative. I want to know about it, I want to understand it, I want to, I want to know how it works. I want to. And I can see that it's going to have huge implications for how, for. For technology and how at the same time we had also, and this is before I joined the company, but we had basically built our first AI driven product called Lex, which is an AI word processor. And Dan and our other co founder Nathan, they don't consider themselves engineers, but they know enough that they could build this product and it became very clear that there was a future in which you could build stuff with AI and they were just able to build it. And because every started as a media company, we have a distribution list. We have spent years cultivating a list of subscribers.

Kate Lee [00:10:36]:
So when it was time to release that product to say, hey, who wants to try this out? Get on a wait list? We pretty quickly racked up tens of thousands of subscribers on that wait list. And it became very clear that that was going to be a model going forward.

Leo Laporte [00:10:52]:
Yeah, so that's one of the things that's a little confusing because it is articles. So it's like it's a newsletter, but it's also a podcast, but it's also products and it's also consulting. So it's a whole bunch of different things. I guess this is maybe the new way of being. It's not just one thing. You have a. So were the products developed in house for your purposes in house and then released to the audience? Is that the readers? Is that how you did it or.

Kate Lee [00:11:25]:
Yeah, for the most part the products kind of sprung from an individual itch that, you know, that, that people internally were feeling. Initially it was. Was Lex, which was the word processor. I believe the next product was Spiral which was the, which is our writing assistant, which Dan coded out of a, on like one of our sort of down weeks at what we call them think weeks, which is where we, we don't publish. And we came to think and, and, and plan.

Leo Laporte [00:11:55]:
Kate is in the West Village and that's the local fire department rushing over to Saul Hanks for a French dip.

Kate Lee [00:12:01]:
Yeah, sorry about the siren in the background.

Leo Laporte [00:12:03]:
That's quite all right.

Kate Lee [00:12:05]:
And then Sparkle was our next one, which is a file, an AI file organizer. And again, these kind of sprung out of just individual needs that we, and we could prototype them. We did end up then hiring people who, you know, we can't manage all those products ourselves, but they each essentially have one person managing those products. We have brought people in who do that.

Leo Laporte [00:12:28]:
This is so different from the AI product culture I'm used to, which is primarily GitHub. So drive you to a GitHub page and it would have some GitHub install instructions written by Claude or open ChatGPT or somebody. And this is beautifully laid out. And it's, it's, it's like a product. You're obviously not aiming at the AI fanboy here.

Kate Lee [00:12:53]:
Why do you say that?

Leo Laporte [00:12:54]:
I just doesn't, it doesn't look like it is a, I mean the, the

Jeff Jarvis [00:12:59]:
AI geek code, it's not aimed at

Leo Laporte [00:13:01]:
geeks, it's aimed at real people, I guess.

Kate Lee [00:13:04]:
Oh, for sure, for sure. I mean, I, I, I think the way that we think of our audience is that we really are targeting builders who are on the bleeding edge of AI. And that word builders I know, is one that has gotten a lot of play. The Wall Street Journal just did a great article about it. And I think the way that we think about it is, you know, typically, or the connotation is you're an engineer, you're a coder. And sure, that's maybe where it started and certainly where some these coding, these, excuse me, these chat tools, these LLMs, have really found product market fit between cloud code and codecs. Clearly coding is a really foundational use.

Paris Martineau [00:13:44]:
But,

Kate Lee [00:13:46]:
but really what we are observing internally and where really what we share internally out to our audience is that pretty much everyone here is a builder in some way. You know, our head of growth has basically like is, is all in on Claude code. He is not an engineer, he is not a coder. He calls himself dumb in that regard, but his, he has automated dashboards and, and agents who help him do his job. You know, are basically our operations person has done the same thing. Our customer service has done the same thing. So that's really how we think about it. I also think when we think of ourselves as the one subscription, you need to stay on the edge of AI.

Kate Lee [00:14:34]:
And that includes the ideas, which are the content and the pieces. The podcast, it includes the products. We named a few of them. And it includes trainings which are consulting. And then we also offer course courses and camps to our paid subscribers. So we are doing a camp with Notion on Friday, and we've done camps with Codex, we do camps on openclaw, things like that. And I think we're really trying to target those people who are builders and who want to be builders and who are sort of crossing that membrane. Because honestly, the way that every operates, I can't necessarily say in every possible way, but certainly from a AI native perspective, the way that companies are going to be created and built in the future.

Kate Lee [00:15:23]:
And so we feel like we have an opportunity to sort of show what that is, how that works, how we're doing, including, you know, clearly the struggles and all, and bring people along on that journey.

Jeff Jarvis [00:15:36]:
So you make. And eat the dog food. Yes, inside. But what. Also, because you're an editor, you're. You're a culture person. And Kate and I, we hadn't seen each other for far too long. We ended up on a panel before ghost writers.

Kate Lee [00:15:52]:
Ghostwriters, believe it or not.

Jeff Jarvis [00:15:54]:
There's a Ghostwriters association, fairly large.

Leo Laporte [00:15:56]:
You talked about that when you were there.

Jeff Jarvis [00:15:58]:
They were fairly frightened by these prospects. Well, ghosts are scary talk, Kate, for a minute, because you've got people who aren't coders, but now code, as opposed to a LEO who was a coder, who now says, oh, my God, this changes my world of coding. You have people who, who didn't code, who can call themselves idiots at it and then do it. And then you have writers and readers.

Leo Laporte [00:16:17]:
And I am going to confess to something, and maybe it's just me, but there's a bias among coders who are now using these tools that no one else can really use. These tools really can get it.

Jeff Jarvis [00:16:29]:
See, that's the problem.

Leo Laporte [00:16:30]:
And so this feels.

Paris Martineau [00:16:31]:
You're saying that coders and techies are being exclusionary.

Leo Laporte [00:16:36]:
I know that's shocking.

Jeff Jarvis [00:16:37]:
I know for white guys, it's just so amazing.

Paris Martineau [00:16:41]:
I mean. Yeah, they've never done that before before.

Leo Laporte [00:16:44]:
So, for instance, I mean, the first thing I saw when I went to every to is. Is your kind of your. I guess it's a. It's a clawbot. It's open claw.

Kate Lee [00:16:52]:
It's a Plus one.

Leo Laporte [00:16:53]:
Yeah, yeah. And I thought, well, I could just do that myself. So why. So what's the pitch here? Is it for people who couldn't. Can't do it themselves or is it what. What makes this better than just vibe coding your own thing?

Kate Lee [00:17:11]:
Right? Well, first of all, not everyone is going to vibe code their own thing.

Leo Laporte [00:17:15]:
Right.

Kate Lee [00:17:16]:
Secondly, it can take some time to get them set up. I mean, I'm in a. I'm in a daily conversation with my claw in training her to do things that I want her to do. And I call, yes, I call her.

Paris Martineau [00:17:30]:
Her.

Kate Lee [00:17:34]:
And it takes time. It takes time to set that stuff up.

Leo Laporte [00:17:36]:
It takes it also huge amount of time.

Kate Lee [00:17:40]:
It takes a lot of time. It takes also money to provision it. And these are very expensive. They eat a lot of tokens. And so we are basically doing that on behalf of our subscribers. The other thing is that we are, you know, plus one doesn't exist in a vacuum. It exists among our other apps. It exists among our content.

Kate Lee [00:18:03]:
So if we can basically, you get a plus one and you are able to be integrated with Quora, which is our email management service, Spiral with Writing, Sparkle for file organization, Monologue for. For voice dictation. I just lost. I think I just lost track of the last one. But essentially it's an. It's an ecosystem. And so your plus one is sort of coming loaded in with. With the every.

Kate Lee [00:18:28]:
With the every products and with. And we ultimately want to be having like every skills that come sort of preloaded into this plus.

Leo Laporte [00:18:36]:
And that's of course the thing that scares most people about Open Claw is that it's so insecure and they' worried about not only the insecurity, but how much it's going to cost. It's Spiral, Chorus, Sparkle, Monologue, and Proof.

Jeff Jarvis [00:18:48]:
Sleepy, Dopey, Grumpy.

Leo Laporte [00:18:50]:
And then plus one is the new thing.

Kate Lee [00:18:53]:
Proof is also new, but yeah, those are the two most recent.

Jeff Jarvis [00:18:57]:
How do your writers and editors use AI? Paris is a journalist who writes.

Kate Lee [00:19:01]:
That's a great question.

Jeff Jarvis [00:19:03]:
I'm curious what the process is like and what they find useful and not.

Kate Lee [00:19:07]:
Yes, well, first I should just say, Leo, I think you said a little earlier that you may have said that all of our writing is AI or referred to it in some way. That is not the case, but we do use AI in our writing and our editing. I will say that it's different for everyone. One thing that's just been really interesting to see is that everyone has a really different process, even if they're using similar tools. People are. People just go about it really differently.

Leo Laporte [00:19:36]:
Some people write something first, then feed it to Spiral. Or some people would give an idea to Spiral and have it. I can imagine that. And that's fine. That fits, you know, your style. But it's. So it's. With a partner.

Kate Lee [00:19:51]:
Yes. We're actually publishing a piece on Monday, I believe, by our writer, Katy Perrott, who is a writer who's basically like figured out and built these tools herself and kind of very extensively goes through her process. She's written a lot about her process, but in particular, I think there's been a discourse recently of is AI writing, real writing? And she sort of is trying to address it. She has quite an extensive process. She starts off always with her agent interviewing her. She has a panel, Leo, you referred to with Guilfoyle and Dinesh. She has a panel of 10. I don't even know how many, but 10 different agents of, like, Sedaris is for humor, you know, Hemingway is for Bremedy.

Kate Lee [00:20:44]:
She's named all of them. And she's basically always sort of pressure testing her ideas. She's never in the use of AI. We're never just with anything, whether it's writing or anything else that we do. It's never just like, oh, it spit this thing out. And so now we take it. First of all, everything we, you know, with writing and with editing, it's trained on our stuff. So it's not generic.

Kate Lee [00:21:11]:
It's been trained. We've trained it on things that have worked. And I think then the other thing that I say and that I think Katie really embodies in what she writes is like your job as an editor or writer using AI is, as I said, not to blindly accept the recommendation, but it is to wrestle with it, because again, it's not generic. If you've spent hours training this CLAW or LLM or whatever it is on your work, on your style guide, on your best stuff, on the things that you're aspiring to. It's not inventing things out of thin air. It doesn't mean you have to accept everything it says, but it is a good thing to be considering.

Leo Laporte [00:21:53]:
The thing that I find very interesting, all gatekeeping with notwithstanding, is that you're coming at it from a different point of view. Instead of a technologist or a coder coming to it from that point of view, you're coming from a humanities point of view into the technology and doing Vibe coding. In some ways, that's what's exciting about Vibe coding is it opens the door

Jeff Jarvis [00:22:16]:
it finally opens it up to.

Leo Laporte [00:22:18]:
For anybody to create tools. You have a 400 rule style guide. Tell me about that.

Kate Lee [00:22:26]:
I love a style guide. You know, Paris, you may, you may have them in your world too.

Leo Laporte [00:22:30]:
I have APs over here, but I paid too much attention to them.

Kate Lee [00:22:34]:
I feel like every job I've had, I've always been so excited to be like, let's set up a style guide.

Leo Laporte [00:22:40]:
Tell for people who aren't journalists, what is a style guide.

Kate Lee [00:22:43]:
First of all, a style guide is a set of essentially rules and standards of how you are going to use certain language. And it can be anything from grammar, here's how we use commas, here's how we use semicolons, or don't use semicolons to. Here's how we refer to people. We always refer to someone as their full name on first referral and then Mr. Someone on the second referral. Things like that. There's any number of them. Words you always use, words you never use.

Kate Lee [00:23:17]:
It can really encompass an enormous amount. And so I created that. But when I started, and I mean this was several years ago, so this was pre AI, I wrote this, but we basically have fed that into Claude or into whatever the LLM of your choice to basically be like, these are your instructions. We've also had to actually rewrite it because it was initially written as a person is going to be reading this. But, but it, you know, for an LLM to read things, the format needed to be slightly different. So we did have to, we did have to adjust it in that way.

Leo Laporte [00:23:57]:
But interestingly still kind of prose. I mean, it's. That's what's kind of interesting about skills for these AIs is they are English, they're not code.

Kate Lee [00:24:05]:
Oh, for sure. This is all natural language, as they say. And I think when you, you know, from what you were saying about coming into it from the humanities perspective, I think the way that we think about it is, is we have editorial standards that we aim to meet or exceed ideally. I think we try every day to do that. We're a small team. I'm not going to be able to hire a whole raft of people. But I do have standards that I want to apply across the board. And I think one thing that became really clear with AI and of course with its ability to of do pattern recognition and automate some things that are very repetitive, is that I as an editor were sort of constantly coming upon the same mistakes every single time.

Kate Lee [00:24:57]:
And it's like, I don't want to have to Keep correcting this. And again, I'm not saying this about deep thinking about the nature of an argument necessarily, but even just the same things in a piece again and again and again, like, I should not be spending my time on that anymore, nor should anyone on my team be spending their time on that anymore. And so that's the kind of thing that it can enable you to free you up from some of that and also then to apply those standards a little bit more evenly across every. It essentially raises the floor for me of, like, the quality level of what I was getting back from my editors.

Leo Laporte [00:25:37]:
You use the word taste, though, which is a word I would never use with AI. And AI can have continuity, can have taste.

Kate Lee [00:25:47]:
I don't know. I mean, I don't know that I. Taste is not a word that is necessarily in my vocabulary all the time. It's certainly a word that is in the tech vernacular at this point.

Leo Laporte [00:26:00]:
Well, spiral, it says on your site, is your AI writing assistant with taste.

Kate Lee [00:26:05]:
I see. Sorry. I appreciate.

Leo Laporte [00:26:07]:
I presume you don't mean like flavor. You mean like good taste and bad taste, right?

Kate Lee [00:26:11]:
Well, essentially, it's been trained on, like, every's editorial standards. So it's a way of. So, you know, it's a way of saying, like, here's what we do, here's how. What we do to get the best writing, we hope, out of the people that we work with. And it is now imbued in this product.

Leo Laporte [00:26:29]:
It says spiral writes with natural rhythm, concrete details, and clear language. Good taste built in from the start. Yes, I guess that's good taste. And AI can do that. You find this reliable?

Kate Lee [00:26:42]:
I use spiral every day. Again, what. The way that I use it is the way that I use it and is probably different because in terms of how other people use it, I use it for things like if I have to be writing a marketing email or I have to be, you know, doing. Doing something that is not, you know, the highest stakes, but I just want to get it out.

Leo Laporte [00:27:08]:
So writing. You don't want to do that. You use this for.

Kate Lee [00:27:10]:
That's how I use it again, because

Leo Laporte [00:27:12]:
my feeling is I like to write. I don't want it to write for me. But I guess you're right. I wouldn't want to write a marketing email.

Kate Lee [00:27:18]:
Yeah, I never want to write a marketing.

Leo Laporte [00:27:20]:
So I understand that.

Kate Lee [00:27:21]:
And what I think is really useful with Spiral is that it actually returns. What it returns is essentially three drafts from three different angles. And it basically allows you to be like, I like that angle, or I Like those two. I want to go in that direction. And then you're sort of constantly pruning and constantly sort of talking to it. Again, that's not to say that people. We know from our data that people are actually using Spiral to write books and to write articles and things. So the use cases are individualized.

Kate Lee [00:27:51]:
This is just how I use it.

Leo Laporte [00:27:53]:
Paris, would you use something like that?

Paris Martineau [00:27:57]:
No, but you know, I think to each their own. And these are.

Leo Laporte [00:28:00]:
You like to write though, right?

Paris Martineau [00:28:02]:
I like to write and I also, I don't know, I think I. There's been a lot of debate over the last week and journalism Twitter about various tech journalists or other journals kind of coming out to using AI for some or all of their work. I think kind of where I landed, at least for like reporting and journalism where the writing is kind of the output that you are trying to get people to give you money to produce. Like, and there's a lot of cases where it's going to. It is something valuable to be able to produce authentic and interesting and unique piece of writing. Which I think one of the downsides of AI just based on the way that it works is that of course everything's going to be a bit smoothed. It's going to, it's. It's something that comes from the result of training on a large data set.

Paris Martineau [00:28:52]:
So of course it's going to tend towards averages. But I think that's. That's not to say it couldn't be useful for like sending an. Like I think my. The one instance where I have used AI for writing quote unquote is like if I have to slap out a bunch of request for comment emails and I don't have like literally do not have the time to write all of the sentences to episode, write every bad version and then check that. But I'm sure there's a bunch of different kind of examples like that where people's writing output is more route.

Leo Laporte [00:29:23]:
Do you get pushback over this, Kate? I mean I imagine you do.

Kate Lee [00:29:30]:
Pushback from whom?

Leo Laporte [00:29:32]:
The writers, editors?

Jeff Jarvis [00:29:35]:
The reaction to the Cleveland Plain Dealer? The reaction to yeah, look, there's a

Leo Laporte [00:29:39]:
good example of Cleveland Plain Dealer said we're going to use AI. Woohoo. And everybody was

Kate Lee [00:29:45]:
yeah, I just, I don't really can put. I don't really think of ourselves in that discourse. Or maybe I just, you know, we just worry about ourselves and I don't really worry about what. What the others are saying. I think what where in getting adoption for some of these tools across the team where if there was pushback, it was not. Again, for. For every writer, I actually am not. Would never mandate to a writer you have to use AI to write.

Kate Lee [00:30:11]:
It's like, if it helps you, if you find it as part of your process, great. If, you know, some of. One of our writers always writes first. You know, he writes the draft himself before he does anything with AI, you know, whereas Katie will do an interview with AI first. So it really, really depends individually on each person. What I think was really interesting, you know, about maybe a year to nine months ago, was in sort of using our. Using our editing tools to essentially be like, you know, we had the style guide, we trained it, we train the LLM. We have like a whole bunch of examples of, like, headlines and leads that really work and all sorts of things.

Kate Lee [00:30:50]:
And we. It really required incorporating that check as a part of our process. Not being optional took some time because, you know, you just think like, well, okay, did you know I would get a draft and I'd be like, well, I read it and I'd be like, I think I see five things that I, in a significant way, would want to change about it. Did you run this through? Did you check it at all? And if the answer was no, I was like, do that and then send it to me. Because it's essentially catching the things that I would catch. But now I have to do it. And so that just took a little while.

Leo Laporte [00:31:34]:
So the style guide, in a way, could be a competent editor, at least on the. The. The technical side of it. That makes sense.

Kate Lee [00:31:42]:
Yeah.

Jeff Jarvis [00:31:43]:
When you were at Medium, you were recruiting known writers to come there, and one of the services that you offered, this snob that I am, I just want. This was editing help. And. And a lot of people took you up on that at the time. Is that kind of the same motif here that. That you're offering things that can be helpful to writers if they wish? I'm hearing that from you, from your internal writers. What are you seeing for people who are using these tools for things outside of every. What are you hearing from feedback from writers elsewhere?

Kate Lee [00:32:18]:
Gosh, I don't know. I mean, I don't know. I don't know that I have a reliable handle on how others are saying it outside of. Again, I've read some of the same news reports and read the discourse that Paris was referring to. I don't.

Jeff Jarvis [00:32:36]:
I mean about using Every's tool specifically.

Kate Lee [00:32:38]:
Oh, I'm sorry.

Jeff Jarvis [00:32:38]:
These tools aren't used just for every writers. Right. They can be by anybody who's a Member?

Kate Lee [00:32:42]:
Yeah.

Jeff Jarvis [00:32:43]:
So who do you find is the. Is the target for that? Who finds useful who?

Kate Lee [00:32:48]:
And are you speaking specifically about the writing tool or other tools?

Jeff Jarvis [00:32:52]:
No, I guess all of them. As a writer, I think I start there, but yeah.

Kate Lee [00:32:55]:
Yeah. Well, I think they are people, you know, in general, who. Who have.

Paris Martineau [00:33:02]:
Who.

Kate Lee [00:33:03]:
Productivity is something that they are in general interested in, because these are all tools that are meant to help you in some way be more productive or however you might define that. And maybe that's better writing. Maybe that's spending less time writing. Maybe that's spending less time on a first draft and instead getting that first draft out and then spending the time refining something. So we've. We've. You know, again, I think it's a. It's very individual in how people use it.

Kate Lee [00:33:34]:
I do think that there is a lot of. So, for instance, when Spiral started, when Dan built Spiral, it was like, well, you know, we. We create podcasts every week. You create a podcast every week. But it's not just the podcast. It's the Tweet, it's the LinkedIn post, it's the article, it's the discord, it's the this, it's the that. And like, that all just takes time and time that we wanted to spend doing other things. And so we certainly know that in cases, again, that was the use case that Spiral came out of.

Kate Lee [00:34:06]:
But that is one way that I don't want to be spending my time, as I said, writing marketing emails and things like that. But we're seeing use cases of all across. Again, the data is showing people are using it for both. People are using it for proposals, people are using it for, you know, LinkedIn posts, which is probably no surprise, just what we all see on LinkedIn. But people are really, you know, the use cases are across the board.

Jeff Jarvis [00:34:34]:
What was your AI learning journey? What has it been like?

Kate Lee [00:34:37]:
It's a great question. I actually was just on our podcast a couple of weeks ago talking about it, because I have traditionally, I love to edit. Like, I. My Happy Place. When I'm like, I have a million things to do, it's like, oh, maybe I can just edit this piece. That is where I feel like I can just do my thing, and I know what I'm doing, and it's a measure of control, and I get a lot of satisfaction out of it. So this was a journey for me as well. And I should say I read and edit, top edit, every single piece that goes out.

Kate Lee [00:35:14]:
So that. That is absolutely a core part of my job. But I also have to spend a lot of time, you know, I have a small team. Up until like four months ago, I had like half a person on my team. You know, I didn't even have like a full time staffer. How am I going to get all this stuff done? I had to hire, you know, I was hiring a bunch of people, you know, was glad to be able to hire a few people, had a bunch of open roles and I was essentially, this is one case sort of outside of writing, I should just say where I really saw the potential. But I don't want to spend my time wrangling notion. I don't want to spend my time in settings setting up pages and connecting databases.

Kate Lee [00:35:58]:
That's just not where I shine. There are other people for whom that is second nature. It's not for me. If I can essentially work with whether it's cloud code or at the time it was OpenAI's Atlas to essentially just tell it to do it. That frees up an enormous amount of time for me from the writing and editing perspective. Jeff like it definitely. It's interesting because Dan, our co founder and CEO, he's been saying basically since GPT3 came out that he really wanted to automate the sort of rote parts of my job, like the copy editing. He just was like, I just don't want to see you deleting commas or whatever it is.

Kate Lee [00:36:42]:
It's just a waste of your time. He was trying, and this is before, you know, tools that allowed you to vibe code really came out. But he was really trying to build something like an internal copy editor that would do it. And every time, I mean this was several times over the past couple of years, he'd be like, I built it, I want you to try it. And then I would try it and I would be like, yeah, it didn't catch all of these things. And so we're not using it. And so it. But it's sort of been like every three to six months there's been a different version of that that he would present to me and I would be like, it would get better and better, but I would still, I mean I also still am like, Google Docs is like my, you know, don't take Google Docs from me.

Kate Lee [00:37:24]:
But. So it was for me also like, okay, this is getting better. This is getting better. It's not great. Yeah, this is getting better. Okay. There is a point at which, and it really was last year sometime. And then of course we're with Anthropic

Leo Laporte [00:37:44]:
Releasing Opus November 24th is when it happened.

Kate Lee [00:37:47]:
Yes, I know, was the big moment where it was a clear tipping point of like, oh, if I don't do this, it's actually going to hold me back.

Leo Laporte [00:37:58]:
Do you worry about jobs, though? I mean, I often think I could probably at some point, not yet, automate the entire workflow for this podcast network, except for my wife, because, you know, but everybody else but those people, first of all, I really enjoy working with them. I like having them as colleagues. And, yeah, maybe I could automate their work, but it seems like that's kind of a grim future for a lot of people.

Kate Lee [00:38:31]:
I don't necessarily have the answer to that. I do think that what it has enabled and what I think it ultimately enabled and what technology has done is. Is opening up new jobs. New jobs that maybe don't even exist yet. Different kinds of jobs. I mean, the prompt engineer was not a job a few years ago. And again, I think prompt engineering is more of a skill now that a lot of people have, rather than job. But again, that's just an example of something that came out.

Kate Lee [00:39:04]:
I don't think it's going to be easy, but I think that if you embrace these tools in ways that are comfortable to you and are germane to how you work in your world, because I really think it fits. It's not just the AI, it's the AI and the human expertise. And that's where you're seeing so much of this, so much of these tools and so much of these gains being made. And so I do think that ultimately there will be new opportunities and new things for people, new things for people to be doing. If I never have to copy paste into different forms again, I will be so happy. I just never want to have to do it again.

Leo Laporte [00:39:46]:
Every two is the website. We're talking to the editor in chief and we're so glad to have you on, Kate. And by the way, you see, I signed up for the wait list for plus one. Okay, a lot of interesting tools on here. This is a very interesting site because, as I mentioned at the beginning, it's a newsletter. Yes, it's columns, yes, it's a podcast, but it's also products like voice dictation, you know, helping you write all sorts of stuff, including someday soon. Are you actually. Are some people set up with +1 now, or is it not out yet?

Kate Lee [00:40:23]:
So internally, we're set up with plus ones and we're just now letting some people off the wait list. But it's just the product wasn't quite ready to let people off until now, but we're starting to. And we've had some beta testers and of course that's just been really useful to get feedback.

Leo Laporte [00:40:41]:
And some of these tools you get with your subscription. I'm going to download and install monologue for sure, which is the voice dictation and the automatic file organization. Sounds pretty darn cool. And the email assistant. God knows I need that. So there's a lot of interesting. So it's tools. Oh, and I didn't even mention you're doing these events.

Leo Laporte [00:41:00]:
In fact, there's one coming up in a couple of days. And these are all virtual, so. So you can attend them from wherever you are. This is Every and Notion, a custom agents camp. But look at all the events you're going to do. Claude Code for finance Writing camp. Claude Code for beginners. Openclaw Camp.

Leo Laporte [00:41:17]:
There's a bunch of stuff coming up and it's your team that leads these. Or do you bring in people?

Kate Lee [00:41:24]:
Yeah, no, I mean I basically oversee the camps and I work with a colleague to run the courses as well. So definitely wear a lot of hats. The camps are free for paid subscribers and the courses are for a fee, although we have discounts for paid subscribers. But yeah, it's a lot. But it's great. It's a lot of fun.

Leo Laporte [00:41:49]:
If I were going to put it under a dome, I'd say it's about a community. It sounds like you're building an every two community of people who have an interest in this and who want to use these tools. And it sounds like it's a very interactive space to participate in that and that I love. I think that's kind of what podcasting was all about from the beginning. But we've kept it to just kind of a narrow slot. You're expanding.

Jeff Jarvis [00:42:14]:
Get busy, Leo. Start VOD coding.

Leo Laporte [00:42:16]:
Well, I need 20 assistants. Maybe plus one will fix that. I don't.

Kate Lee [00:42:20]:
You can get a few.

Paris Martineau [00:42:22]:
You have to ask before you leave. What's up with the horse head behind you?

Kate Lee [00:42:26]:
That was, you know, that was. Came up earlier when I just hopped on. That was a leftover from Halloween that I think we had a little Halloween party. And then we very recently, in like the past, I don't know, two to three weeks actually made this into a real podcast studio. And so we felt like it needed to have a place of honor.

Paris Martineau [00:42:47]:
Delightful.

Jeff Jarvis [00:42:47]:
You could donate your log, parents.

Paris Martineau [00:42:50]:
I do have a log. A fake log.

Leo Laporte [00:42:53]:
It's a long story. Part of a Halloween cost. Yes, she was a long lady. Caitley thank you so much. Thank you for discovering Jeff. Appreciate that, actually, really, seriously, thank you for introducing us to Jeff. Kind of in an indirect way, but that's been a very fruitful relationship over many years.

Jeff Jarvis [00:43:11]:
Kate got rid of me. She left the field.

Kate Lee [00:43:13]:
Yeah. But still, all these years later, here we are. Never ridden.

Leo Laporte [00:43:17]:
Here we are. He showed up. Up like a bad penny. Kately, thank you so much. I think everybody should check out every dot too. There's a 30 day free trial, I think, so you can try it and see what you think. And I'm very interested. It sounds like a community that we've.

Leo Laporte [00:43:31]:
It's a large one already. It says 85,000 subscribers.

Kate Lee [00:43:35]:
I think we're actually up to about 125,000. We haven't updated our. Our language, but we're thrilled you're there. And I, you know, you. You have a direct in if you want to send me any feedback.

Leo Laporte [00:43:46]:
Okay.

Kate Lee [00:43:47]:
Good or bad.

Leo Laporte [00:43:47]:
Okay, I'll wait for my invitation plus one. Thank you, Kately.

Jeff Jarvis [00:43:52]:
Thanks a friend. Good to see you.

Kate Lee [00:43:54]:
Bye, guys.

Leo Laporte [00:43:55]:
Take care. We will continue with Intelligent Machines. And don't worry, we're a half an hour away from the Artemis 2 launch and we'll cover that when that happens as well. You're watching Intelligent Machines with Paris Martineau and Jeff Jarvis.

Paris Martineau [00:44:07]:
I just realized you're wearing a corn shirt. I don't know how it fully did

Jeff Jarvis [00:44:13]:
not because it just seems so normal.

Paris Martineau [00:44:15]:
So it really does. At a certain point you wear so many bombastic shirts, they all kind of blur together.

Leo Laporte [00:44:21]:
Wait a minute. Did you call my shirts bombastic?

Jeff Jarvis [00:44:23]:
I like that. I like that as a clothesline.

Leo Laporte [00:44:25]:
You should start bombastic, bombastic clothes for the weirdo in us all. Well, anyway, yeah, you know, Paris, did you have an allergic reaction to what we were just talking about or.

Paris Martineau [00:44:39]:
Yes. I mean, frankly, my bad for not jumping in. I had a. I was a little late to the record today because I have had a long and complicated day at work. So I prepared a little less for this than I would normally. And frankly, when it comes to doing a confrontational interview or an interview style where you're heavily disagreeing with someone, I think that you need to actually come with significantly more prep than usual where that opinion may not be shared by everybody on this panel.

Leo Laporte [00:45:07]:
No, I agree with you. I agree with you 100%.

Paris Martineau [00:45:10]:
So I was a little. Just listening and learning. I just thought it was also a very interesting interview because this has been. I mean, it doesn't sound like her products are necessarily for journalists or people whose primary output is exclusively writing in the same way.

Leo Laporte [00:45:25]:
You know, who I actually think it's for is my wife. It's for Lisa, who is very interested in AI. It's not a technologist, uses tools like Grammarly for her writing. And I think she's taken a class in AI and I think she's. I think this is very common. She's a CEO. She's a CFO by training. And I think that there is a lot of interest at the.

Leo Laporte [00:45:48]:
At that level of people in AI, but they don't really know where to go or what to do and what to start with. If you're a writer, you like to write and you don't want somebody to write it for you. That's. That's.

Paris Martineau [00:46:02]:
I mean, this has been a whole. This has been like the topic of discussion on journalist Twitter.

Leo Laporte [00:46:07]:
Oh, I know.

Paris Martineau [00:46:08]:
This past week, because people feel like it's not real.

Leo Laporte [00:46:10]:
It's not real.

Paris Martineau [00:46:11]:
I mean, there are a couple of stories that I think are on the rundown that touch on this. There was a Wired report that asked a bunch of different kind of newsletter writers and tech reporters about how they're using AI, and a lot of them were like, I think, think Alex Heath had said that he feeds a lot of his sourcing material and stuff to a LLM and has it write a first draft for him and then he kind of goes from there and he's like, well, you know, the hardest part about writing is always like going from 0 to 1 on your first draft. And I agree that's very difficult. But the reason why that is hard is because that's where your thinking happens. It's very difficult to. Our job is to synthesize a large amount of material collected through these interesting ways and highlight the value and report that out and write that out in a way that is illustrative to the.

Leo Laporte [00:47:04]:
I believe it can be useful for you. I think for.

Paris Martineau [00:47:07]:
It can definitely be useful.

Leo Laporte [00:47:08]:
You have all those people through and stuff like that.

Paris Martineau [00:47:12]:
Yeah. You just have to be aware of the fact that if you're talking about using AI to produce the core part of your output, you're going to get something that is sanded down at the edges.

Leo Laporte [00:47:21]:
I agree.

Paris Martineau [00:47:22]:
It's going to be an output that. That is by definition, not very special or particularly excellent because it is an average of a lot of different things. And that, I don't know, over time, I think, is going to just result in not the sort of work you want to be doing. I will say, I think like. Like we've talked about in this show before. The areas I think are most useful for AI application and journalism are like, when I have a folder full of right now, like 20 different PDFs, maybe. Actually maybe like 50, that are all various scientific studies on a crazy amount of things that I've gone and found and know are relevant. And I am now writing and reporting something, and I'm like, God, where's that one that says this about that?

Leo Laporte [00:48:08]:
Totally do that. Yeah.

Paris Martineau [00:48:09]:
Asking Notebook LM to go through it and I have all of my documents in there and it tells me what thing I'm doing. That's phenomenal. It's so helpful.

Jeff Jarvis [00:48:18]:
I'll give you two other examples. This week I was invited to write a blurb for a book by an author I admire tremendously. And I was blocked. I couldn't get started on it. It was weird. And so I asked AI to write one, and it was crap. I didn't use it, but it unblocked me. It made me see.

Jeff Jarvis [00:48:39]:
Okay. Oh, right. That's kind of laxative.

Leo Laporte [00:48:41]:
It's like a laxative. It's kind of.

Paris Martineau [00:48:42]:
Of.

Leo Laporte [00:48:43]:
It's kind of, you know, milk of magnesia for writers. Is that what you're saying?

Jeff Jarvis [00:48:47]:
More. More like.

Paris Martineau [00:48:49]:
It's like a laxative. Yeah. That's a crazy thing to say, Leo.

Leo Laporte [00:48:52]:
Could.

Jeff Jarvis [00:48:53]:
Couldn't you not. Alka Seltzer. It's more like to burp it up. It'll be better.

Paris Martineau [00:48:57]:
It's like you got to throw a writer just for marketing.

Jeff Jarvis [00:49:01]:
But on the other hand, I had a copy editor on my new book. I. I don't want to speak too much out of school, but what the hell, I will. Who spent a lot of time adding P period and pp period, period to the footnotes and worried about italic commas.

Leo Laporte [00:49:14]:
That should be an AI.

Jeff Jarvis [00:49:15]:
Turn my four dot ellipses into three dots, which were all wrong. I didn't want the ppp. I didn't. I wanted my four dots. I wanted this.

Leo Laporte [00:49:22]:
Right?

Jeff Jarvis [00:49:23]:
But he didn't challenge me. There was only one challenge in the whole thing, and I want a copy editor to challenge me. I wanted one of your characters to do that. And I put it through and I asked it some simple questions like, what are my ticks? And it found writing ticks that I had done too much. Like, it goes.

Leo Laporte [00:49:41]:
That's good.

Jeff Jarvis [00:49:42]:
That was useful.

Leo Laporte [00:49:42]:
That's useful.

Jeff Jarvis [00:49:43]:
But reaction, you know, unblocking reaction. I think those things can be useful. Now, as I enter, as I work on the next book, I do have these folders filled with PDFs. And I can imagine doing things like. Like there's in the invention of the. Of the amplifier. It's a very complicated time frame.

Leo Laporte [00:50:02]:
Frame.

Jeff Jarvis [00:50:02]:
I might ask it to do a timeline for me just so I can keep that straight in my own head. Not making it wrong, but at least it becomes a working structure. But I would never. I agree with you, Paris. I would never go at it. Let me just. One more thing. So this week, in sacrifice for the show I went and watched in the theater, the AI Doc.

Paris Martineau [00:50:22]:
Which one?

Jeff Jarvis [00:50:24]:
It's the one that's out in theaters now.

Paris Martineau [00:50:26]:
Isn't there two? Isn't that the whole thing?

Jeff Jarvis [00:50:29]:
Oh, I didn't know that. Okay, this. This is the one that's. It's. It's Tristan Harris's.

Leo Laporte [00:50:33]:
Yeah, we talked about it.

Jeff Jarvis [00:50:35]:
Nuts. Yeah, but, you know, it's also because I hadn't had popcorn in theater in six years, so you should have gone

Leo Laporte [00:50:40]:
to see Project Hail Mary. The popcorn.

Jeff Jarvis [00:50:41]:
Which theater did you go to show the reading? Whatever. Bandville Theater. It's in the suburbs. Wouldn't it. There were three people, including me in the theater, but really. Yeah, yeah. This thing is subsidized. It's like Melania.

Jeff Jarvis [00:50:55]:
It's subsidized to get it up there. So the doomer subsidize it. But at one point, he's trying. The guy's playing the dog. I don't know what AI Is. What's AI? And then screen for screen, it comes back. It's patterns, patterns, patterns, patterns, patterns. And it strikes me that, yes, that's what AI is good at.

Jeff Jarvis [00:51:10]:
To your point, Paris, it's going to find and replicate those patterns. To me, I came to realize creativity is breaking the patterns. Creativity is seeing the different path to go, and AI is never going to do that. And so I think it's useful in some ways to get things done. But in terms of what we do, in terms of trying to think that we work creatively and find unique value and human interest in things, that's still our job, I think.

Paris Martineau [00:51:37]:
Yeah. And I mean, while I think you're right, Jeff, in what you're noting, that it can be useful in finding these patterns and maybe like having moments where, like, you're blocked and you just want to try and get something on a page. But I also think it's important. Important to emphasize that there is great usefulness in that struggle, you know, trying to find those patterns yourself and really struggling with it and struggling to.

Jeff Jarvis [00:52:00]:
Oh, I agree. I think I want to resist the

Paris Martineau [00:52:02]:
patterns like trying to even, like, even if you are, I don't know, doing all of this work yourself and then realizing that, hey, there's something about this that is blocking me and I'm not able to succinctly analyze that this, or identify the patterns and synthesize it onto a page is useful data in and of itself. I think that obviously there are situations where using a tool like this to expedite that process could be useful. But you have to understand that you're. What your, the trade off is and the trade off, you're not thinking as much, you aren't getting as deep of a understanding of the material, the outputs could be wrong. And I think you have to be okay with, with making that trade. And I, I don't know. The thing that worries me is that we are setting ourselves up in a system where even just taking writing and journalism, for example, you have these institutional pressures to produce for a lot of journalists, more and more, faster and faster for less and less money. And that leads to people feeling like they have to turn to these tools in order to make it work somehow.

Paris Martineau [00:53:09]:
But the output is not going to be half as good ultimately.

Leo Laporte [00:53:15]:
Okay, we're about 15 minutes away from the launch, so I want to just do a few news stories so we can cover what's going on. Because there's a lot going on right now in the AI space. Some big stuff. The biggest one I think of the week is the leak of CLAUDE code's source code.

Jeff Jarvis [00:53:32]:
Did you know?

Leo Laporte [00:53:33]:
Inadvertently Anthropic, apparently it's not clear. Anthropic said it was a human error. It could easily been a vibe coded AI error. But the leak was immediately pulled down, but not fast enough. And it has now there are tens of thousands of copies. Anthropic's been putting DMCA pull down requests out like crazy, trying to get them off the Internet.

Jeff Jarvis [00:53:57]:
It's not illegal to have it though. They couldn't really sue you if you just have it, right?

Leo Laporte [00:54:02]:
We would say that's that you can own it. Like you can have it on your hard drive. But people are putting out, for instance, somebody's ported it over to Python and you can download that. And there's some question about it's originally typescript code. There's some question about if you download Claude code in Python and run it, there's 32,000 stars on the GitHub right now. I'd be a little nervous about it, but I don't know, the lawyers will have to weigh in on that. There are People who have taken it and done interesting things with it. For instance, Ben Davis has actually taken and putting Doom inside Claude Code.

Paris Martineau [00:54:41]:
Of course, it's an important part of everybody.

Benito Gonzalez [00:54:46]:
You have to answer this question, what can it play?

Leo Laporte [00:54:49]:
Doom? Yes. And it can easily quite well, in fact. I don't know why that's such an accomplishment. But anyway, we've seen a lot of interesting analysis of how Claude Code works. I think I could summarize it by saying it's more than just the model that Claude Code almost half a million lines of code. It's the harness is very important to the effectiveness of Claude Code. It's not just Opus 4.6. A lot of really interesting stuff.

Leo Laporte [00:55:18]:
There is a website that I think is, if you're interested, is worth looking at. It's Claude Code unpacked and you can actually see the process of how Claude Code works with what you type in, which I think is kind of cool. And it shows the architecture and stuff. It's less of a geeky deep dive into the code and more of just kind of a higher level how it works and what it's doing. There were some hidden features that showed up. There was one that I think was intended for April Fools. It was only supposed to work April 1st through 7th called Buddy. It was a virtual pet, a Tamagotchi inside of Claude Code that you'd have to keep alive.

Leo Laporte [00:56:03]:
There is some interesting agentic stuff like something called Kairos. There's some very expensive things. There's an auto dream mode which I think would be very interesting when you're not using it. When you're idle. It goes through what happened and organizes it into learning. So which is potentially very, very powerful. So this is a nice little site if you just kind of understand what.

Jeff Jarvis [00:56:26]:
Anything that surprised you in this?

Leo Laporte [00:56:31]:
No, I don't know if we really learned all that much. Well, okay.

Paris Martineau [00:56:35]:
Wasn't there something that tracked the amount of times you cursed at Claude Code?

Leo Laporte [00:56:39]:
Oh yeah. You want to see that? I could show you that. So this comes from Wes Boss. He was digging into the code just to see a variety of things. For instance, when Claud Code works, it has has a verb that goes over and over again. And there are 187 of them. He found the verbs. These are what they call the spinner verbs.

Leo Laporte [00:56:58]:
These are the words they filter out. 20. I won't say them on the air. They're kind of George Carlin's 25 swears. It also keeps track of when you swear at it and sends it back to the home office, it logs your prompt as negative in their internal analytics. West boss says now. Now I think that makes sense because that's a sign that whatever Claude did wasn't right. And so maybe I wish looking at

Jeff Jarvis [00:57:24]:
that voicemail jail would do that.

Leo Laporte [00:57:28]:
Yeah.

Jeff Jarvis [00:57:29]:
Get rid of the agent. The athene agent.

Leo Laporte [00:57:31]:
So there was some valuable stuff. There was also a mention of capybara. I'm sorry, I'm getting. I get spammed and I have. Should be in do not disturb when I do these shows. I don't know why I'm not. I apologize.

Paris Martineau [00:57:45]:
You live life with your. Every time your phone calls, it makes a sound.

Leo Laporte [00:57:49]:
Oh yeah, I'm yolo. Not only does it make a sound because I have 18 Macs in this room. All of them make a sound.

Paris Martineau [00:57:56]:
What a nightmare.

Jeff Jarvis [00:57:57]:
I know.

Leo Laporte [00:57:58]:
It's like my clock.

Paris Martineau [00:57:59]:
My phone audibly rang in like eight.

Leo Laporte [00:58:02]:
Really? Oh, that's nice.

Jeff Jarvis [00:58:03]:
Really? No commercials, no phone calls. Boy, they live a different world.

Leo Laporte [00:58:09]:
You writers, you know how to live. The other thing I think is important, and this actually is kind of an interesting topic. There is mention in it of capybara. We've heard about this Mythos model that Anthropic supposedly is getting ready to ship. I saw one tweet, accurate or not, that said April 16th soon. That is so good that they have held it back and have been warning governments and security experts. This is going to be dangerous when we release it. There's also a rumor it will be extraordinarily expensive.

Leo Laporte [00:58:43]:
OpenAI is about to release Spud. Both of these models, they say are a step change above what they're already doing, which is already very impressive.

Jeff Jarvis [00:58:51]:
I'm not saying it's not an inspiring brand.

Leo Laporte [00:58:56]:
Mythos sounds good, right?

Jeff Jarvis [00:58:58]:
Happy bara. Spud.

Leo Laporte [00:58:59]:
It just says spud. Here comes Spud, your potato. But it brought up an interesting point that I kind of think is intriguing. What if these companies do release really good agents that are incredibly capable, but price it so that only the wealthy can afford it?

Paris Martineau [00:59:24]:
I was gonna say is that not where all of this is going?

Benito Gonzalez [00:59:28]:
Isn't that maybe works all the time Isn't how I would.

Leo Laporte [00:59:31]:
Yeah, but I mean, I don't mean like somebody who can afford a three thousand dollar computer. I mean mean a millionaire. I mean somebody who has so much money they can spend $10,000 a month on their.

Jeff Jarvis [00:59:41]:
Is it a volume based business? Well, if you business or is it

Paris Martineau [00:59:44]:
a people what it costs? That's the point for these services.

Leo Laporte [00:59:49]:
Yeah.

Paris Martineau [00:59:50]:
That only the extraordinarily wealthy would be able to do it. I mean, this is probably one of the reasons why there's a poll that I included in the rundown that one of the takeaways was, was that a majority of Americans across all ages and political affiliations think AI will do more harm than good to their everyday lives. The only exception is people who make over $200,000 a year. They were the only group that was like, yeah, I think AI will do more good.

Jeff Jarvis [01:00:19]:
At the same time, people are using AI more than ever. It's just like social media. It's the media trope being played back in the polls.

Leo Laporte [01:00:26]:
It's the movie you just saw scaring people. People. And actually, honestly, I think it's also people who encounter AI as chatbots have a very different impression of what AI is and is capable of than people who are encountering it in tools like Claude Code. It's just a very different experience.

Paris Martineau [01:00:47]:
How is Claude code is still a chatbot? You're interacting with it. I mean, it's just.

Leo Laporte [01:00:55]:
All I can say is the quality of what you get back from it, the capabilities it has.

Jeff Jarvis [01:01:03]:
How about this? You're as opposed to.

Leo Laporte [01:01:05]:
I don't use it like a chat bot.

Jeff Jarvis [01:01:07]:
Like, you're getting actions from it. You're getting.

Leo Laporte [01:01:09]:
I'm getting actions from it. I'm getting. It's writing code. I'm not getting. I'm not saying. Yeah, I'm not saying, hey, how much is a stamp?

Paris Martineau [01:01:17]:
Yeah, but most. The average person. No, they're not going to get any use from coding.

Leo Laporte [01:01:23]:
I understand.

Paris Martineau [01:01:23]:
So why would they use that?

Leo Laporte [01:01:24]:
No, I'm not saying they should.

Paris Martineau [01:01:26]:
Good.

Leo Laporte [01:01:26]:
I'm just saying their experience is very different because chatbots are kind of dopey. And if you're making silly pictures or if you're asking it, you know, find the best running shoes for me, that's just a very different experience than if you're using it to code and the people are using it to code, are seeing a different expression of what AI can do that is much more powerful and much more intriguing. That's all I'm saying. I'm not saying you should should be doing that. I'm just saying it's a different view view of it. The other thing that's a big story. Then we're going to have to take a break. Is the big time compromises, supply chain compromises.

Leo Laporte [01:02:07]:
First on pypi with the light LLM and now this one happened yesterday, Axios, which is, by the way, a library used by Claude code. The problem is when these are compromised. People are downloading them and running them without their knowledge even. They're. They're libraries that are invoked by other tools you may not know. And they. This is becoming a real serious problem. We talked about Light LLM last week, which is widely used.

Leo Laporte [01:02:41]:
40. We now know 47,000 people downloaded it in the 46 minutes it was available. These tools are. These libraries are downloaded. You know, Light LLM is downloaded, I think 92 million times a month. 3 million more than 3 million times a day. Axios also extremely popular. So these attacks can really threaten in a big way.

Leo Laporte [01:03:02]:
All right, we're going to take a break. When we come back, I do want to watch us get us to watch the Artemis 2 launch. It looks like there go. It's a very nice day. Cape canaveral.

Jeff Jarvis [01:03:14]:
T minus 12 minutes until.

Leo Laporte [01:03:16]:
Yeah, we're actually at 10 now, so.

Jeff Jarvis [01:03:18]:
Oh, we kind of fresh on page. Yeah, 10 minutes. So it's a hold. It's a hold of 10 minutes.

Leo Laporte [01:03:25]:
Yeah, maybe. Yeah. Yeah. It does look like they're a hold. That's a normal hold, I think. Yeah. I just want to play Walter Cronkite, that's all. So we'll sit here at the watching pad and watch as Artemis 2 makes its way to the moon.

Leo Laporte [01:03:39]:
First time we've gone back to the moon in how many years has it been? 30 some years.

Paris Martineau [01:03:44]:
Hope it's still there.

Leo Laporte [01:03:47]:
It's full to that.

Paris Martineau [01:03:49]:
There's only one way to find out.

Leo Laporte [01:03:50]:
Let's go see. They don't get to get out. That's all. They have to drive around it. It's like when you're driving down the highway and you saw the drive in movie and you got a glimpse of the movie, but you didn't. You didn't get to watch it.

Jeff Jarvis [01:04:02]:
Paris, you ever heard of drive in movies?

Paris Martineau [01:04:05]:
A what in what?

Leo Laporte [01:04:07]:
You surely have been to a drive in.

Paris Martineau [01:04:10]:
Yeah, I have. Well, I haven't been to one, but I know of the concept.

Jeff Jarvis [01:04:14]:
They still exist.

Leo Laporte [01:04:15]:
There's one or two I have.

Paris Martineau [01:04:17]:
I have not been to one because I don't know where they are.

Leo Laporte [01:04:20]:
It'd be a good field trip for the Brooklyn gang. I would love that to your zip car.

Benito Gonzalez [01:04:27]:
During COVID they. They brought them back in the Bay Area. There was a bunch of dragons that popped up.

Leo Laporte [01:04:31]:
Yeah. You get. And. And. And you have to park and the. And there's a hump where you park. So tilts your car up a little bit. And then there's a speaker on a post.

Leo Laporte [01:04:41]:
A really crappy metal speaker. That you hang in the window.

Benito Gonzalez [01:04:46]:
It's a Bluetooth now, by the way, I'm honest.

Paris Martineau [01:04:49]:
My entire knowledge of drive in movie theaters, other than just conceptually from reading, is from an episode of the TV show Psych that where a pivotal scene with serial killers took place at a drive in movie theater.

Leo Laporte [01:05:01]:
They're scaring me. They're scared me. Yeah, because it's dark and you get out of the car to go to the popcorn stand and never anything could happen. Happen. Anything can happen.

Jeff Jarvis [01:05:11]:
And then you cannot find your car getting back and you're lost.

Leo Laporte [01:05:13]:
Never happened to me, I have to say. But it was fun for dates because it was just the two of you in your car. We're gonna take a break. Come back with more memories from Gramps. You're watching Intelligent Machines with a couple of old guys and a young lady named Paris Martineau and Mr. Jeff Jarvis. Let's see. I'm gonna go.

Leo Laporte [01:05:39]:
I guess we're still on a hold here for NASA. Let me go full screen on this. There's happy people watching.

Paris Martineau [01:05:50]:
The chat suggests to me that things are happening. You're not up to date. I don't believe.

Leo Laporte [01:05:54]:
It's not just a hold, is it? Is it something else?

Benito Gonzalez [01:05:57]:
You're not live.

Paris Martineau [01:05:58]:
You're not live, Leo.

Leo Laporte [01:06:00]:
Oh, well, I want to be live. How do I get live?

Paris Martineau [01:06:04]:
You gotta not be doing. I don't know. But it's not that.

Leo Laporte [01:06:10]:
Are you sure? I think that's live.

Paris Martineau [01:06:12]:
Is he live?

Benito Gonzalez [01:06:13]:
Because I don't know. The. The timecode at the bottom says there's six hours and 23 minutes into that already.

Leo Laporte [01:06:17]:
Well, that's just, you know, that's just them. The clock is still top. No, I'm live. Yeah. 10 minute countdown. We're cleared for launch. We're just waiting. And by the way, our own intrepid space hosts Rod Pyle and Tarek Malik are not there.

Leo Laporte [01:06:34]:
I don't think they're in that. Maybe they are in that audience. Dignitary. Those are dignitaries. They're not very dignified. I think they're out there at the bleachers. You know, there's a great seat across the water from the launch pad where you get to see it actually happen and feel it. Yeah.

Leo Laporte [01:06:50]:
More importantly, I was really sad. We were at the Kennedy Space center last month and the rocket had been pulled back. They had to put off the launch. We came this close. There they are in the bleachers. That's the bleachers.

Jeff Jarvis [01:07:04]:
Is the gantry already pulled back or is that.

Leo Laporte [01:07:07]:
Not yet. They're about ready to restart the countdown.

Paris Martineau [01:07:10]:
What's a gantry?

Jeff Jarvis [01:07:11]:
The thing that holds the rocket up.

Leo Laporte [01:07:13]:
Well, there's Elmer Gantry, but that's a different thing. That's a preacher and then there's.

Paris Martineau [01:07:19]:
You're telling me there's not a preacher holding that rocket up?

Leo Laporte [01:07:21]:
Well, I think the good Lord is holding that rocket up with his. With his mighty, you know. No, it's actually that tower which will slide back, but that's pretty close to launch. Because the thing. You don't want the thing to fall over. Right.

Paris Martineau [01:07:38]:
Can we all get corn shirts? Is that.

Leo Laporte [01:07:41]:
I think we all need corn shirts. I think we all need corn shirts.

Paris Martineau [01:07:45]:
Yeah. I'll get a normal. I'll get a corn shirt like yours, Leah. But then we've got to get a custom black one for Jeff where it's like all the. A black corn shirt shirt, grayscale black.

Leo Laporte [01:07:55]:
All right, let's see what else there is. We got a lot of news to get through.

Jeff Jarvis [01:08:00]:
We got time for it. Yeah.

Leo Laporte [01:08:01]:
Google. Oh, actually, we should mention this. Open AI. We did mention it early, I think. Closed. Oh, this was on Windows Weekly, another round of financing. $122 billion. That gives them an $852 billion valuation.

Jeff Jarvis [01:08:20]:
So losing Disney's 1 billion last week was no big.

Leo Laporte [01:08:23]:
Unbelievable. And what I thought was kind of interesting, you know, SpaceX is also apparently today going to prepare for their IPO, which should be a pretty spectacular IPO, but I doubt they'll raise 122 billion.

Paris Martineau [01:08:37]:
Yeah, I mean, they confidentially filed today, right?

Leo Laporte [01:08:40]:
Yeah. So it's interesting that you can still, if you are growing at the rate that OpenAI is growing, not making money, obviously, but if you're growing, you could still go to the investors and say, hey, give us some money, and they'll give you enough money so you don't have to go public. There are rules. We were talking about this on Windows Weekly. There are SEC rules. Google was in the same position. They didn't really want to go public, but they had to, because the SEC rules say, I think if you have more than a thousand investors, you have to go public.

Jeff Jarvis [01:09:13]:
You are de facto a public market.

Leo Laporte [01:09:15]:
Yeah.

Kate Lee [01:09:15]:
Yeah.

Leo Laporte [01:09:15]:
And that was because they were giving stock options to their employees. I don't know what situation Intelligent Machines is in. Countdown has resumed. So we are now nine minutes away from launch. We will cover that launch, but we'll continue until then. Yeah, SpaceX is filed confidentially, but how do we know that? If they file says. Bloomberg says it.

Jeff Jarvis [01:09:36]:
So that's well, Bloomberg knows.

Leo Laporte [01:09:38]:
They know.

Paris Martineau [01:09:38]:
I mean, Bloomberg yeah. Knows.

Jeff Jarvis [01:09:41]:
I don't see SpaceX as a business. You know, is it, is it a trillion dollar business?

Leo Laporte [01:09:47]:
It's, it's the same thing as Uber, as we work as open AI. These are companies that aren't currently profitable. But there's an upside. There's a huge upside.

Jeff Jarvis [01:09:59]:
Well that, that's what, no, that's what I'm questioning. There's only so many rockets to go up. There's only so much.

Leo Laporte [01:10:05]:
They make money, quite a bit of money on Starlink.

Jeff Jarvis [01:10:09]:
Fine, fine.

Benito Gonzalez [01:10:10]:
But money from the government, doesn't it? Like it's all government.

Jeff Jarvis [01:10:13]:
Yeah, that's the thing.

Leo Laporte [01:10:14]:
There's selling, there's these, you know, this isn't a SpaceX launch, this is a NASA launch. But yeah, they're making a lot of money from the government. I think there's probably thinking of things like asteroid harvesting, asteroid mining.

Paris Martineau [01:10:32]:
Yeah, because that really goes so well.

Leo Laporte [01:10:34]:
Cities on the moon.

Paris Martineau [01:10:36]:
Yeah. Both Bloomberg and the Wall Street Journal have reported that SpaceX is filed.

Jeff Jarvis [01:10:41]:
Yeah, that was.

Leo Laporte [01:10:41]:
They say what they, what they expect the strike price to be or they're

Paris Martineau [01:10:45]:
aiming to raise between 40 billion and $80 billion in an offering.

Leo Laporte [01:10:49]:
See, isn't that interesting? So OpenAI without going public raised twice that.

Paris Martineau [01:10:54]:
Well, yes, and that's why we're all kind of squinting our eyes at that.

Leo Laporte [01:11:00]:
And you have to figure that SpaceX will really. Is it already part of Tesla and Xai or is there. Have they not merged all throughout? There's the gantry moving just.

Paris Martineau [01:11:11]:
Oh wait, no, it did. SpaceX combined with AI in February to create a 1.25 trillion juggernaut in the biggest corporate tie up by value in US history. Which is the most Wall Street Journal clause of all.

Leo Laporte [01:11:27]:
Juggernaut A. Well, yeah. So the AI. There's the AI investment there too. Maybe that's part of it.

Paris Martineau [01:11:34]:
I mean, what will be interesting which they notice that once the the filing is made public, it's going to have a bunch of interesting and never before seen information about the combined company's operations. Because they obviously have to go into detail about all of this.

Leo Laporte [01:11:51]:
This is why Google didn't want to go public. So a lot of companies would prefer not to go public because suddenly you are.

Paris Martineau [01:11:56]:
Yeah, you got to open the books, tell all the people the reasons why you're a bad investment.

Leo Laporte [01:12:02]:
I have to. If Tesla's public. Right. I have to say companies have gotten very adept at non GAAP accounting and hiding. And for instance, Apple no longer says how many iPhones they've sold. You'd think that'd be material, of material interest to investors, but somehow they get away with that.

Jeff Jarvis [01:12:19]:
I guess the argument is that if you really want to know that and you don't want to invest, then you don't invest. It works for them.

Leo Laporte [01:12:25]:
But the whole point of disclosure, by the way, the Trump administration is thinking, or the SEC is thinking, thinking of eliminating quarterly reports, Right. Saying maybe we just do this twice a year.

Paris Martineau [01:12:40]:
What? Why?

Leo Laporte [01:12:44]:
It's a lot of work. Every three months, you got to get all the finances together.

Paris Martineau [01:12:49]:
So. Sorry. That you have to tell the public and your investors what you're up to every three months. Such a terrible time.

Leo Laporte [01:12:56]:
My point is that it's slanting away from investors towards these companies.

Paris Martineau [01:13:03]:
I mean.

Leo Laporte [01:13:03]:
Yeah, that was the whole idea.

Paris Martineau [01:13:05]:
It is like the bare minimum.

Leo Laporte [01:13:07]:
Yeah.

Benito Gonzalez [01:13:07]:
Well, I mean, they're the next people, right? Because first they screw over the customers and then they screw over their investors.

Leo Laporte [01:13:12]:
That's called insidification.

Jeff Jarvis [01:13:14]:
So you wait another three months for. To find out more. Yeah.

Leo Laporte [01:13:16]:
Yeah. Google is rolling out AI Inbox Beta for AI Ultra subscribers.

Paris Martineau [01:13:24]:
That is a statement that sounds. Felt like just fake. That sounds. That sounds like you generated that statement algorithmically.

Leo Laporte [01:13:33]:
Okay.

Paris Martineau [01:13:34]:
What is an AI Ultra subscriber?

Jeff Jarvis [01:13:36]:
I don't even know.

Leo Laporte [01:13:37]:
It's a personalized briefing that surfaces the actual information you need instead of a message that you have to open and read.

Paris Martineau [01:13:44]:
I. I mean, there's no company that I would trust to do this less than Google, who anytime I try to use the search function in Gmail, it returns.

Jeff Jarvis [01:13:57]:
Awful.

Paris Martineau [01:13:57]:
Anything that I did not search for. It is like astounding how bad it is.

Leo Laporte [01:14:02]:
And this is returning the things I'm famous for. Search.

Paris Martineau [01:14:05]:
Yes, it's baffling.

Benito Gonzalez [01:14:09]:
They need you to increase the search queries. They need you to ask again and again.

Leo Laporte [01:14:14]:
Well, they said that they have a new engine, quote engineered privacy environment where your information is processed in a separate space and doesn't leave that space so that Google doesn't have access.

Jeff Jarvis [01:14:28]:
So I signed up for a Google workspace studio that's supposed to set up me. Notify me of urgent emails.

Leo Laporte [01:14:34]:
Yeah, this is an example.

Jeff Jarvis [01:14:36]:
Example supposed to work. Jeff is urgently asked to donate $25 to Mary's U.S. senate campaign tonight.

Leo Laporte [01:14:43]:
It worked.

Jeff Jarvis [01:14:44]:
First FEC deadline.

Leo Laporte [01:14:45]:
That was urgent.

Jeff Jarvis [01:14:46]:
It's urgent.

Paris Martineau [01:14:47]:
It was so urgent.

Jeff Jarvis [01:14:50]:
Jarvis needs to coordinate a preliminary meeting with the panelists and submit administrative materials. Urgently urgent.

Leo Laporte [01:14:58]:
I think people are just going to game it right. Put the word.

Jeff Jarvis [01:15:00]:
Chicago's membership team is Issuing a final, final urgent appeal for donation.

Leo Laporte [01:15:06]:
I wish I could have a button that eliminates all solicitations for money.

Paris Martineau [01:15:12]:
It's also just very. I don't know any Google rolling out any features like this has my hackles raised because Gmail and G Suite are I think notorious for not allowing you to turn off any of the extra AI features or else it completely wrecks the basic functionality of Gmail. If you try to turn off the awful little, little purple line that says how you should rephrase every sentence of your email. Not for grammatic ish. It's not because the grammar is wrong, it's not because the spelling's wrong. It's just like a better phrase. If you want to turn that off, you have to turn off all spell check. You have to turn off any sort of ability to sort your inbox in into like little categories.

Paris Martineau [01:15:59]:
You have to turn off basically every feature that makes Gmail Gmail because it ties in those features with like you're

Jeff Jarvis [01:16:09]:
just the P stands for picky.

Paris Martineau [01:16:11]:
You're just suppose the P does stand for picky. Yeah.

Leo Laporte [01:16:14]:
Now I have to point out Gmail launched on this day, April Fool's Day, 22 years ago. 2004. Can you believe this? And in 2004 I thought it was a pretty good idea to create a Gmail account. Laporte not a good idea.

Paris Martineau [01:16:34]:
Two minutes to launch.

Leo Laporte [01:16:36]:
Should we go to the video?

Paris Martineau [01:16:38]:
I'm sorry to interrupt.

Leo Laporte [01:16:39]:
Yeah, it's exciting. I have the audio. I think I do. Let me make sure it's.

Jeff Jarvis [01:16:44]:
Oh, that's neat.

Benito Gonzalez [01:16:44]:
Two minutes is a long, very, a

Paris Martineau [01:16:46]:
very sensual shot we've got going on here.

Leo Laporte [01:16:49]:
That's the rockets behind what happened with your.

Jeff Jarvis [01:16:52]:
Your laporte Gmail.

Leo Laporte [01:16:54]:
Well Google has announced that you can now change your Gmail name.

Jeff Jarvis [01:16:58]:
Was every possible name you want has taken long years since.

Leo Laporte [01:17:01]:
Yeah, I mean if I change it it's not going to be LaPorte. It's going to be LaPorte 5879999 or something. Right. Something that no space spammer will will know. Unfortunately you keep your existing Gmail name and because of course they're not going to turn off that you'd lose all your email. So I'll still get all the spam I get at laporte.

Jeff Jarvis [01:17:19]:
Yeah. And you could revert to your name when you, when you regret change.

Leo Laporte [01:17:23]:
This is why you just got to

Paris Martineau [01:17:24]:
create a second one and then you have two separate. It's just another inboxes that you can look at.

Jeff Jarvis [01:17:29]:
I guess it's recyclable from this vehicle.

Leo Laporte [01:17:35]:
Nothing, unfortunately.

Jeff Jarvis [01:17:36]:
Nothing.

Leo Laporte [01:17:36]:
It should be. It was. It was intended to be, but these are reusable. The pods on the side were reasonable.

Paris Martineau [01:17:43]:
Do they ever get those astronauts who were stuck up at the space station?

Leo Laporte [01:17:47]:
They did, yes.

Jeff Jarvis [01:17:48]:
Okay.

Leo Laporte [01:17:48]:
And they both retired.

Jeff Jarvis [01:17:50]:
The astronaut?

Leo Laporte [01:17:51]:
No, no, that's a different one. We're talking about the ones who were stuck there because the. Because of the leak in the Boeing return vehicle. They both retired from the astronaut corps.

Jeff Jarvis [01:18:01]:
One minute.

Leo Laporte [01:18:03]:
Yes, the guy. The astronaut was returned a little while ago, it turned out. Yeah, he went. Somehow lost his ability to speak and he's fine.

Jeff Jarvis [01:18:10]:
Speaking again.

Leo Laporte [01:18:11]:
Yeah, he's fine now. He just wanted to come back.

Jeff Jarvis [01:18:14]:
Houston will take control.

Leo Laporte [01:18:16]:
Here we go.

Paris Martineau [01:18:17]:
I'm not sure that I've ever watched a mission to the moon happen live.

Leo Laporte [01:18:22]:
Oh, you missed it back?

Paris Martineau [01:18:23]:
Actually, no, I. I'm certain that I haven't because it's the first time in 50 years.

Leo Laporte [01:18:27]:
And they'd say worse about.

Jeff Jarvis [01:18:29]:
What year was the last time we went to the moon?

Paris Martineau [01:18:31]:
50 years ago?

Jeff Jarvis [01:18:32]:
No, the last time.

Paris Martineau [01:18:34]:
No, the last time. Astronauts. It says on NASA's website we're sending astronauts around the moon for the first time in 50 years.

Jeff Jarvis [01:18:42]:
Wow. She's. You and I are old. Deal.

Leo Laporte [01:18:50]:
Holy cow.

Jeff Jarvis [01:18:51]:
Yeah.

Leo Laporte [01:18:52]:
These are very powerful engines.

Paris Martineau [01:18:54]:
Ignition. Wa.

Leo Laporte [01:18:55]:
Oh, my gosh. Very fast.

Paris Martineau [01:18:57]:
WA2.

Leo Laporte [01:18:59]:
Now bound for the moon. Humanity's next great voyage begins. That's. That's steam, by the way. They water. Cool the launch. So that vapor is steam.

Jeff Jarvis [01:19:09]:
As if Florida's not humid enough.

Leo Laporte [01:19:12]:
Beautiful.

Jeff Jarvis [01:19:13]:
Yep.

Paris Martineau [01:19:14]:
That's so cool.

Leo Laporte [01:19:17]:
I'm always inspired by watching these

Jeff Jarvis [01:19:21]:
and praying a little bit.

Leo Laporte [01:19:22]:
Yeah. You and I are old enough to remember watching.

Jeff Jarvis [01:19:26]:
I was in the newsroom when it happened.

Leo's Laptop Audio [01:19:31]:
Integrity passes the alternate vehicle target milestone. Mission Control, Houston, seeing good performance.

Leo Laporte [01:19:37]:
Paris wasn't even born in 1984.

Paris Martineau [01:19:40]:
No, I was very much.

Jeff Jarvis [01:19:42]:
Orwell has nothing on her.

Leo Laporte [01:19:49]:
It's. I like doing this because it's fun to watch this together. Yeah, it's a good communal.

Jeff Jarvis [01:19:55]:
We need Jimmerby.

Leo Laporte [01:19:56]:
Yeah, that's the cheers coming from the bleachers there. It's apparently something to see. That ground really rumbles. There's a huge. Oh.

Paris Martineau [01:20:09]:
To slip the early bonds of Earth.

Leo Laporte [01:20:12]:
Actually, that's what Reagan said when the Challenger astronauts died. So we don't say that now. Sorry, that's not the way to. That's not really what they're trying to do right now.

Leo's Laptop Audio [01:20:26]:
Integrity is 14 miles in altitude.

Leo Laporte [01:20:28]:
8 miles. So five days away from the moon.

Jeff Jarvis [01:20:34]:
How many Orbits around the earth before it swings.

Leo Laporte [01:20:37]:
I wasn't sure I asked that question.

Jeff Jarvis [01:20:38]:
Question.

Leo Laporte [01:20:38]:
And I don't know if anybody knew that. Probably not a long time now.

Jeff Jarvis [01:20:43]:
If you were really Walter Cronkite, you'd have a model, you'd be explaining all this.

Leo Laporte [01:20:46]:
He would have these models that they would take apart. And then it goes like this. And you'd have an ass. Jim Lovell or somebody sitting next to you.

Jeff Jarvis [01:20:58]:
I'm surprised they haven't given us the camera inside.

Leo Laporte [01:21:01]:
Well, what's amazing about these now is there's the people at the bleachers. Look for Rod and Tarek. They're out there. I'm sure there's of course a bunch of tourists.

Leo's Laptop Audio [01:21:09]:
Separation.

Leo Laporte [01:21:09]:
Hey, there's your mom and dad.

Jeff Jarvis [01:21:14]:
Oh,

Leo Laporte [01:21:18]:
whoa.

Paris Martineau [01:21:19]:
How cool. Hey, to the moon as they.

Leo Laporte [01:21:23]:
There's a shot. Look at that. Yeah, Ready, Watch. We're gonna.

Jeff Jarvis [01:21:27]:
One shot. Inside was mainly of the feet of two of the astronomy astronauts.

Leo Laporte [01:21:32]:
I know. It was interesting that you could see

Paris Martineau [01:21:34]:
that they got a foot cam.

Jeff Jarvis [01:21:36]:
Yeah, well, they have these big boots because they're. They're double decker in there, so.

Leo's Laptop Audio [01:21:41]:
2 minutes 45 seconds of mission elapsed time into the Artemis 2 mission thrusters on integrity and upper stage confirmed in a ready state ahead of service module fairing separation.

Paris Martineau [01:21:51]:
Do you think that person's chose like. Do you think there's like a little audition for who has the best voice to kind of do the public announcement?

Leo Laporte [01:21:59]:
Well, it might be now. It used to be Capcom and these guys.

Jeff Jarvis [01:22:03]:
Now it's. Now it's a person now.

Leo Laporte [01:22:05]:
Some PR guy. Yeah. Oh, there goes the fairing. They don't need that anymore. They're out of the atmosphere. Gosh, you guys, I wish Richard Camel were here. Because he knows exactly what's going on. He was an amazing tour guide.

Jeff Jarvis [01:22:23]:
Houston integrity, good last jettison.

Leo Laporte [01:22:25]:
Great view. Wow.

Paris Martineau [01:22:28]:
Would hate to be a fish right now.

Jeff Jarvis [01:22:30]:
Team EO8 02,

Leo Laporte [01:22:36]:
we see the same on board.

Jeff Jarvis [01:22:37]:
Stan.

Leo Laporte [01:22:38]:
Amazing. And Houston has you loud.

Jeff Jarvis [01:22:40]:
Can I go to the bathroom now, dad? Says the kid going through the

Leo Laporte [01:22:46]:
outstanding.

Jeff Jarvis [01:22:46]:
Stan, we have you the same.

Leo's Laptop Audio [01:22:50]:
3 minutes 50 seconds into the flight of Artemis 2 wise.

Jeff Jarvis [01:22:53]:
I wonder where that camera is.

Leo's Laptop Audio [01:22:54]:
Hanson, cross the boundary to space with good com checks. GPS signals acquired after last jettison. Now working on internal checks to verify accuracy. Flight dynamics officer, analyze the time of main engine Cutoff confirmed at 8 minutes 2 seconds. Time of Miko.

Jeff Jarvis [01:23:10]:
Miko.

Leo Laporte [01:23:12]:
Main engine cutoff.

Paris Martineau [01:23:14]:
Oh, Darren points out a. Makes a good point. It's all fake because we know the Earth's flat, right?

Jeff Jarvis [01:23:20]:
Right.

Leo Laporte [01:23:21]:
Big masses in space. As Brand points out, the Karman line is the order between atmosphere and space. Pretty amazing. I love the pictures. These pictures from the.

Jeff Jarvis [01:23:35]:
That's the best part.

Leo Laporte [01:23:35]:
Spacecraft. And we're getting such good pictures nowadays.

Jeff Jarvis [01:23:42]:
Yeah.

Benito Gonzalez [01:23:43]:
Movie. Our cursor, Leo.

Leo Laporte [01:23:44]:
Outstanding Stand. Sorry about that.

Jeff Jarvis [01:23:49]:
Is.

Leo Laporte [01:23:51]:
There is no cursor in space.

Jeff Jarvis [01:23:52]:
That was God moving it in the game.

Leo Laporte [01:23:54]:
Move your cursor.

Leo's Laptop Audio [01:23:55]:
Five minutes into the flight, Commander Reed Wiseman confirms he can has visuals of

Jeff Jarvis [01:23:59]:
his destination, Paris, back in the day. This is an incredibly wobbly picture where the image would go all around the screen because there was no holding steady.

Leo Laporte [01:24:07]:
They have some guy on with a very long telephoto lens.

Paris Martineau [01:24:12]:
Someone doing sketches and kind of mail them to your address.

Leo Laporte [01:24:17]:
Amazing shots. These are incredible.

Benito Gonzalez [01:24:19]:
Now there's like a GoPro mounted to the side of the rocket. Where is this camera?

Leo's Laptop Audio [01:24:23]:
At this point, three good main engines are all that's needed to carry integrity to a nominal main engine cutoff target.

Leo Laporte [01:24:29]:
I can't wait to hear Rod and Tarek talk about their experience.

Leo's Laptop Audio [01:24:32]:
Houston, they're watching 75 miles in altitude, 330 miles downrange. Approaching 10,000 miles per hour.

Jeff Jarvis [01:24:41]:
That's what's amazing.

Leo Laporte [01:24:42]:
Thousand miles an hour

Jeff Jarvis [01:24:46]:
your Boeing jet takes.

Paris Martineau [01:24:47]:
You put our mind to it.

Leo Laporte [01:24:48]:
Yeah.

Jeff Jarvis [01:24:51]:
Imagine what else we could do.

Paris Martineau [01:24:55]:
Someone in the chat. Oh, I guess make a AI video of one of the corns on Leo's shirts taking off.

Benito Gonzalez [01:25:06]:
You can't make AI videos anymore.

Paris Martineau [01:25:08]:
I was just about to say I almost interrupted myself.

Leo's Laptop Audio [01:25:14]:
Google has it up still at the seven minute mark.

Jeff Jarvis [01:25:17]:
I always. The animations were always great too.

Leo's Laptop Audio [01:25:20]:
Miles in altitude, 460 miles downrange integrity.

Leo Laporte [01:25:24]:
Expect nominal shutdown. It's good. Everything's gone great.

Paris Martineau [01:25:30]:
Wonderful.

Leo Laporte [01:25:32]:
Very encouraging.

Paris Martineau [01:25:35]:
Patrick asked a great question. What's that bright spot in the middle and what's the stuff coming off of it?

Leo's Laptop Audio [01:25:39]:
Elapsed time. Shutdown plan is as expected.

Leo Laporte [01:25:41]:
I think it's refraction again.

Leo's Laptop Audio [01:25:43]:
The time of meeting was confirmed at 8 minutes, 2 seconds.

Jeff Jarvis [01:25:46]:
What that. That shot of the. It's the engine. Yeah, yeah.

Paris Martineau [01:25:50]:
What's that?

Jeff Jarvis [01:25:50]:
That's the engine.

Paris Martineau [01:25:51]:
Oh, that's like from below.

Jeff Jarvis [01:25:54]:
It's an extreme.

Leo Laporte [01:25:56]:
I don't know what that is.

Leo's Laptop Audio [01:25:57]:
Telephoto, I think seven minutes of mission elapsed time.

Leo Laporte [01:26:05]:
All right, well, we should probably continue

Paris Martineau [01:26:06]:
on instead of just the really compelling

Leo Laporte [01:26:10]:
audio of us just silently watching in awe.

Paris Martineau [01:26:12]:
Watching.

Leo Laporte [01:26:13]:
Yeah. Very cool, though. Very cool. Congratulations. Godspeed, as they say.

Paris Martineau [01:26:19]:
They should do a podcast from up there. They should do A podcast on the moon.

Leo Laporte [01:26:25]:
That would be cool. I'd volunteer for that. Let's see, what else? Are you going to change your name? Did you change your name on Gmail? We were talking about that before the launch.

Jeff Jarvis [01:26:35]:
I've got a bad one.

Paris Martineau [01:26:36]:
What would I change it to?

Leo Laporte [01:26:38]:
That's the thing.

Paris Martineau [01:26:39]:
I have all of. I have all the email addresses I'd want, and I have them, I guess, separated because I. This wasn't a thing before, but now I just have all of my logins. I'll be logged in at the same time. We'll just toggle through them like the different users or so.

Leo Laporte [01:26:56]:
Yeah, I don't really use Gmail anymore, so I guess I don't really need to worry about it. Have you tried the ATI app on Blue Sky? Blue Skyers.

Jeff Jarvis [01:27:06]:
You can't. It's not available for us. No.

Leo Laporte [01:27:07]:
It uses AI to give you control over your social feed. And it is right now the most blocked account after JD fans on Blue Sky.

Paris Martineau [01:27:19]:
That tracks.

Leo Laporte [01:27:20]:
Yeah. It allows users to design their own social media algorithms and create custom feeds within an AT protocol.

Jeff Jarvis [01:27:28]:
So you're making your own algorithm, which is a good thing, right?

Leo Laporte [01:27:30]:
Yeah. This is what Roto was all about, was control. 125,000 users have blocked Addie's Bluesky account.

Jeff Jarvis [01:27:39]:
Why?

Leo Laporte [01:27:41]:
I don't know. Oh, it's AI. Yeah. Can it cookies. That's worse than the White House and ICE.

Jeff Jarvis [01:27:53]:
I think it makes a good sense. I saw somebody on. On the Socials on Blue sky who said that if the algorithm is supposedly addictive, whoever was, I wish I could remember, said, well, I don't use Facebook and it's got an algorithm. I use Blue Sky. There's no algorithm, and I'm addicted to this. But now you can make your own algorithm.

Leo Laporte [01:28:13]:
Yeah. Well, we'll see. You know, it's early days yet. Once we get access to it, we can see how that is. The Electronic Frontier Foundation. I just did a nice interview with their director, Cindy Cohn, a couple of weeks ago that's available on our twit feed is suing for answers about Medicare's AI experiment. Now, Jeff, you and I are on Medicare because we're senior shinigam. They.

Leo Laporte [01:28:40]:
Medicare is proposing to use an AI algorithm to determine what treatment we get.

Jeff Jarvis [01:28:47]:
The death panel turns out to be a machine.

Leo Laporte [01:28:49]:
It's worse than a death panel. I'd rather humans made these decisions.

Jeff Jarvis [01:28:53]:
Amen.

Leo Laporte [01:28:54]:
This was announced by Dr. Oz last year.

Jeff Jarvis [01:28:58]:
That gives me confidence.

Leo Laporte [01:28:59]:
It is. The program's known as Wiser, which is an acronym that stands for wasteful and an inappropriate service reduction. Did they really think this through? This name is not good. It uses AI to assess prior authorization requests. Ah, interesting. Prior authorization requests for Medicare beneficiaries. Oh, I see. Prior authorization requires medical providers to obtain advance approval from the insurer before delivering treatment.

Leo Laporte [01:29:29]:
So it is a request. Can I deliver. Can I fix Jeff's bum ticker before I could get.

Jeff Jarvis [01:29:34]:
Which already.

Paris Martineau [01:29:35]:
That is a.

Leo Laporte [01:29:36]:
That is a system that exists in

Paris Martineau [01:29:38]:
order to put more hurdles towards people accessing care. It's already a speed bump. And you're adding robotic speed bump on top of that. Sorry.

Leo Laporte [01:29:46]:
Rolled out in January in six states, 6.4 million beneficiaries. By design. Wiser incentivizes contracted companies to deny prior approval against the best interests of patients because vendors are compensated in part on the volume of healthcare services they deny.

Jeff Jarvis [01:30:05]:
Well, this is worse. I'm not on Medicare. I'm on advantage. This is the only choice I was given. So Aetna is paid a lump sum, and its job is to then be as efficient with me as possible.

Leo Laporte [01:30:19]:
Give you as little care as possible so they don't already. That's exactly right. So EFF Is. Has asked for injunctive relief for violation of the Freedom of Information Act.

Jeff Jarvis [01:30:34]:
Go, eff.

Leo Laporte [01:30:35]:
They want to know more. Go get them about them. Yeah. Thank you, eff. We appreciate it. Governor Nome has signed an executive order requiring safety and privacy guard rails from AI companies that do business with the state. I'm not sure what those guardrails find.

Jeff Jarvis [01:30:54]:
Guard rails. Right.

Leo Laporte [01:30:55]:
Yeah. What is. What is those? They'll have to explain their safety and privacy policies around AI. The state will examine policies carefully on how the companies prevent exploitation of individuals, including the spread of csam. The government will also consider whether AI models are used to monitor individuals or block certain speech. Companies will have to explain how they're avoiding bias in their systems. Not sure that's a bad thing, but. And they also.

Leo Laporte [01:31:26]:
He called on state officials to begin watermarking. Watermarking AI generated or manipulated videos they create. Certainly the state officials who are creating AI videos should definitely watermark them. I would agree on that. I don't know if you can compel private individuals to do that, but you certainly. If you're working for the government and you're doing that, you should. You should label. And David Sacks, we thought, might be leaving the White House, but no, he is.

Leo Laporte [01:31:51]:
He has a new role. David Sacks, the podcaster and AI and cyber coin czar at the Trump administration, is going to Continue to advise, but I'm not sure how to find out.

Jeff Jarvis [01:32:14]:
We didn't go over this last week. The White House 12 point AI plan.

Leo Laporte [01:32:23]:
The attention span of the White House is so short.

Jeff Jarvis [01:32:25]:
Well, but it was written as if by an adult. Yeah, there was booby traps in it, but it actually had some decent things in it. Nothing's gonna happen though.

Leo Laporte [01:32:34]:
Nothing's gonna happen. You're watching intelligent machines. Jeff Jarvis. Leo Laporte. Paris Martineau. Great to see you. Good to have you. Now, let's talk about these surveys that you were talking about.

Leo Laporte [01:32:48]:
Paris. 15% of Americans say they'd be willing to work for an AI boss. 15%. Well, that's not.

Jeff Jarvis [01:32:56]:
15% of Americans say their boss is so bad. How bad is it?

Paris Martineau [01:33:00]:
So bad.

Jeff Jarvis [01:33:01]:
I'd rather work for AI.

Leo Laporte [01:33:02]:
A Quinnipiac poll. Only 50 really should be. Only 15% say they'd be willing to work for an AI. The majority said they would not be willing to swap their human boss for an AI people manager. Nevertheless, you may be ending up working for an AI. Companies like Workday have launched. This is from TechCrunch. AI agents that can file and approve expense reports on your behalf.

Leo Laporte [01:33:30]:
Amazon has deployed new AI workflows to replace some of the responsibilities of middle management. You know, you can get rid of middle management. I think that's okay. But of course, all those people are out of work.

Jeff Jarvis [01:33:41]:
My friends in various universities, work day is the most hated thing.

Leo Laporte [01:33:46]:
Nobody likes Workday. I used to have to use it. This is pink. AI is being used to replace layers of management in what some are calling the great flattening.

Benito Gonzalez [01:34:03]:
It's true that in a lot of tech companies there are a bunch of people who don't do anything.

Leo Laporte [01:34:07]:
There are a lot. Middle management tends not to be useful. And most people I think, would be much happier with less hierarchy anyway. Quinnipiac says Americans are wary about what it means for job prospects. 70% of the respondents say they believe advances in AI will lead to a decrease in the number of job opportunities. I don't know what the other 30% were thinking. More than half the U.S. this is the one you were talking about, Paris say AI is likely to be harmful.

Paris Martineau [01:34:41]:
And the only segment they split up all of these responses, whether you think AI is going to do more good or do more harm into a bunch of different things. You know, they split it up by like your political beliefs, what generation you're in, income, what you know about AI. In all cases, they were adamant. You're going to be doing. AI is going to do more harm than it's going to do good in the. The one exception is people who made over $200,000 a year. Those people said, yeah, I think I do more good to my day to day life then, which I think is notable.

Leo Laporte [01:35:21]:
Anthropic asked the question of several, actually 80,000 people, if you could wave a magic wand, what would AI do for you? The largest group cohort said 18% said people hope for professional excellence, it would help them do better.

Paris Martineau [01:35:39]:
That's such a funny category.

Leo Laporte [01:35:41]:
Then personal transformation, then life management, time freedom, financial independence, societal transformation, entrepreneurship, learning and growth. And only 5% were hoping for creative

Jeff Jarvis [01:35:54]:
expression because they're going to do it on their own. Right, Paris H. Hopefully.

Leo Laporte [01:36:06]:
That's the survey. Survey says what other. Before we move on, what other stories were you excited about?

Jeff Jarvis [01:36:19]:
Paris, you first. I got, I got one or two.

Leo Laporte [01:36:23]:
I'll give you one real quick. Most people. This is from you, Jeff. Most people. People don't enjoy their jobs. Says the perplexity CEO.

Paris Martineau [01:36:32]:
Shocking. Wow, I'm so glad we have somebody on this case to figure it out.

Leo Laporte [01:36:37]:
And so that means good news, they're going to get laid off. But it's a chance to start your own AI venture. AI layoffs create entrepreneurial opportunities. This was of course, on the all in podcast with David Sacks and Jason Kalakatnis. And during gtc, Aravan Srinivas acknowledged, yeah, AI could displace jobs, but the reality is most people don't enjoy their jobs. So it's a boon.

Benito Gonzalez [01:37:07]:
No, the reality is most people don't like having to have a job.

Leo Laporte [01:37:11]:
Most people enjoy paying the rent.

Paris Martineau [01:37:16]:
I don't think most people do not enjoy paying the rent. They enjoy the rent having been paid.

Leo Laporte [01:37:22]:
Paid by the job they don't enjoy. All right, I gave you a minute to think about something. Did you find something you care about?

Jeff Jarvis [01:37:30]:
Line 80. Really kind of interesting story.

Leo Laporte [01:37:33]:
A biggest AI conference. What is the biggest AI conference?

Jeff Jarvis [01:37:37]:
It is the ICML. God, now I gotta remember what that stands for. All of these conferences they presume, you know.

Leo Laporte [01:37:46]:
Right. Well, you know, it's international cooperation and machine learning specialists.

Jeff Jarvis [01:37:51]:
It is the International Conference on Machine Learning Learning.

Kate Lee [01:37:54]:
Right?

Leo Laporte [01:37:54]:
Yeah.

Jeff Jarvis [01:37:55]:
So they put out a call for papers and in it they buried invisible instructions.

Leo Laporte [01:38:04]:
So they put. They put these in the papers that they sent out for peer review.

Jeff Jarvis [01:38:08]:
Right.

Leo Laporte [01:38:09]:
If a reviewer fed the paper into an LLM, the invisible instructions would then insert telltale phrases in the review so that they would know, hey, you used an LLM for the review of the papers 506 reviewers used AI. 398 had their own papers rejected as a result. So in other words, a lot of people, what the hell? They did agree not to do that. I guess violations of the LLM review policies.

Jeff Jarvis [01:38:44]:
But there's a fair amount of upset that this organization would do this to their own people.

Leo Laporte [01:38:48]:
It's the International Conference of Machine Learning. You would think that. Think they won't use AI.

Jeff Jarvis [01:38:52]:
Exactly.

Leo Laporte [01:38:53]:
This is what they do.

Jeff Jarvis [01:38:55]:
Exactly. The decision to assume from the outset that your reviewers cannot be trusted to read a paper and think about it without a machine doing it for them tells you something far more important than the number who got caught.

Leo Laporte [01:39:07]:
It trapped him.

Jeff Jarvis [01:39:08]:
It tells you that the institutions responsible for advancing human knowledge no longer believe human judgment is the default. So it's just a helper just to help her. Those persons pissed that ICML did this.

Leo Laporte [01:39:20]:
Yeah, it was only 1% of all reviews. So it wasn't.

Jeff Jarvis [01:39:25]:
Yeah.

Leo Laporte [01:39:27]:
That widespread. Actually, I'm surprised it wasn't more widespread.

Paris Martineau [01:39:31]:
I mean don't most of these systems catch prompt injections like that?

Jeff Jarvis [01:39:37]:
Well, I don't understand how. If it was a paper to review, how did it end up in the review they wrote?

Paris Martineau [01:39:44]:
I mean, I guess probably what it would be is the classic like white text.

Leo Laporte [01:39:48]:
Yeah.

Paris Martineau [01:39:48]:
In a document thing where you upload it in like you upload a PDF to Claude or Chat GPT and you the human looking at it just see your normal PDF with the black text you read but hidden in there is white text or very small text that you don't easily see. But that the LLM. But the issue is.

Leo Laporte [01:40:09]:
Or to insert the word spaghetti into the review.

Paris Martineau [01:40:13]:
And then a lot of these systems now have kind of a built in defense for that, which is there's something in this that told me to insert the word spaghetti. I'm not going to. And it will notify you of it.

Leo Laporte [01:40:24]:
So they're not even using the best AIs. The ones that got caught were using crappy AIs. What else do you got? You have another story, Paris, that you would like?

Paris Martineau [01:40:37]:
I mean we talked about this earlier but. But there was this Wall Street Journal piece that was a. It's line 92. It's a profile of this journalist at Fortune, Nick Lichtenberg.

Leo Laporte [01:40:53]:
He's very relaxed. You know why he's very relaxed?

Paris Martineau [01:40:56]:
Because he uses a guy to do everything.

Leo Laporte [01:41:00]:
You don't write in your lap. Have you ever written in your lap with your feet up on the desk?

Paris Martineau [01:41:04]:
No, no. I mean not in many, many years.

Leo Laporte [01:41:06]:
That does not look like a good way to write a story.

Paris Martineau [01:41:08]:
They say that on a Wednesday in February, it starts. Journalist Nick Lichtenburg produced more stories in six months than any of these colleagues at Fortune delivered in a year. One Wednesday in February, he cranked out seven. I'm a bit of a freak, lichtenberg said. Now let me do a rare case of a Paris back in my day, which is back in my day when I started my journalism career a wee eight year. Eight, nine years ago, though I also regularly cranked out seven stories a day. And it wasn't because I used AI. It's because that's called aggregation, baby.

Paris Martineau [01:41:45]:
You write up other people's work, you do, you source it to them and you're basically just doing a bunch of quick blogs that really add very little to the overall Business Insider. You just are trying to scrape off some of the traffic of people wanting to read about that story. This is not, I don't know, anything novel, but it's being pitched as if it is like a revolutionary approach to.

Jeff Jarvis [01:42:09]:
Well, because he got there differently, because how he did it.

Paris Martineau [01:42:12]:
He said AI assisted stories accounted for nearly 20% of Fortune's web traffic in the second half of 2025. Most were written by Lichtenberg. And basically how he seems to do it is he just like throws some stuff in his LLM of choice, prompts it to write an article, and then pastes it in the CMS and edits it from there. I'm just like, this is a disaster. I mean, it's disaster ethically. It's basically participating in this interview and profile is advertising to your readers that you don't care enough to even do the work, to produce work for them. You're just offloading something else. And also the thing that ended up making me sad about all of this is given in my own experience.

Paris Martineau [01:42:58]:
Like, yes, living in the aggregation, like the aggregation content minds wasn't great. It sucked. It was. You were not producing good journalism by any means. But it was also, I think, like an essential part of the experience of becoming a journalist and getting exposed to a bunch of different. Like that when you're writing six or seven aggregation pieces a day, you are reading like six or seven big news stories every day, figuring out how those stories work and then figuring out a way to kind of make your own facsimile of that. And that is a useful skill for first job journalists or early stage interns. And it just makes me sad that I don't know, this whole section of the economy of, of the journalist ecosystem has been hollowed out and will continue to be hollowed out because like water.

Paris Martineau [01:43:48]:
What are the earliest stage career options for this industry supposed to be?

Leo Laporte [01:43:53]:
You can't imagine the work Woodward and Bernstein did in the Washington Post exposing the Watergate burglary being done by a machine. A human has to do it. Now I can imagine a rewrite machine rewriting their.

Jeff Jarvis [01:44:09]:
If you were on the Cleveland desk at the Associated Press, you were taking, taking articles from the newspaper and you were rewriting them.

Leo Laporte [01:44:17]:
Yeah, that's dumb.

Jeff Jarvis [01:44:19]:
Yeah.

Leo Laporte [01:44:19]:
But, but if, but real reporting, you gotta go out and do it right there.

Jeff Jarvis [01:44:24]:
Yeah.

Benito Gonzalez [01:44:26]:
You don't get to the real reporting right away, though. You need to go through those initial steps of reading other people's reporting and

Leo Laporte [01:44:31]:
figuring out before you actually do it. I just, I think and writing up

Paris Martineau [01:44:35]:
the story, it's like such an essential step to learning how journalism even works is just reading a bunch of, like, if you're fresh in a beginning beat. The advice I always give to, like, younger new reporters, like, just read literally everything you can on the beat, like the commodity news stories, press releases, write ups of press releases, write ups of other people's scoops, anything possible. Because ingesting all that information will make you a smarter person and better reporter and better writer. Because you'll start to see the patterns. And offloading that sort of pattern recognition to a tool just doesn't do you a.

Leo Laporte [01:45:11]:
That's really true in anything when you're learning it. What you're learning is kind of the pattern recognition, the rhythm of it playing.

Paris Martineau [01:45:20]:
I mean, this is why I also, this is why, despite the fact that we have calculators, you still teach children math. Because it's important to understand the basics involved in the work before you get to offload it to something.

Benito Gonzalez [01:45:35]:
Yeah. And then you get to the point where you're like, okay, this is what I want to offload to AI and this is what I want do to offload to AI. But until you get there, you need to do all the stuff yourself.

Paris Martineau [01:45:42]:
Yeah. And I'm just worried that this is creating a whole culture where that's not even going to be an option for people anymore.

Jeff Jarvis [01:45:48]:
Little devil's advocate. Just for a second. And that's all it is, is that once upon a time you had to take a pencil and graph paper and draw charts and graphs and pie charts and all that, and then suddenly spreadsheets did it for, for you. And it wasn't cheating, it was just easier. It was just, it was just information presentation. And it did It.

Leo Laporte [01:46:12]:
Well, well, how much did you learn from drawing pie charts? Whatever that.

Paris Martineau [01:46:18]:
I mean, I do think that there would be some use case in the sense of like maybe when you're trying to learn some like to understand that the pie chart is going to be made up of like five. One part of it will be five. Five little identical slices, the other part will be 10. And that. That's the. To understand it by doing it by hand, to understand the proportion of it could be useful for someone if that's how you learn. But

Jeff Jarvis [01:46:45]:
stories are data visualization. I'm not arguing at all with reporting. This goes back to the story on the Cleveland Plain Dealer. They argued that they can get more stories now out of the reporting and Paris objected at the time. But I think there's some level writing the commodity crap that, that just gets you SEO and, and links out of volume is, is the last dying gasp of mass media and scale. We gotta go to quality. But at some point, some of the stuff that exists. All right, let me ask you this way.

Jeff Jarvis [01:47:24]:
For many years now, long before LLMs, the wire services have used computers to write financial results stories. The basic. Their EPS was this. It's just a rewrite of the report they send out. There's no reporting involved. Maybe there should be, but there wasn't. In any case, it was just a rewrite of that. Is there any problem with that? Is it's just a commodity piece of work.

Jeff Jarvis [01:47:53]:
Did that a lot. Did that free up reporters to do more actual reporting?

Paris Martineau [01:47:58]:
I mean, I think that's a specific use case. Because the reason why those commodity newswares do it is because the entire value proposition of paying for a wire service or subscribing to Bloomberg Terminal is getting that information as quickly as humanly possible at speed. Speeds that are not replicable by a human.

Jeff Jarvis [01:48:19]:
True.

Paris Martineau [01:48:20]:
I mean, I think for like, if you're even thinking about it from a purely like business perspective, obviously zooming out from that sort of like commodity speed. I just, I'd have to hope that if you are positioning yourself as a news company that wants subscribers or at the very least is trying to convince people they need to come to your site and see your ads in order to read your. Your work, you have to hope that you're offering something of value that is some sort of unique capability that isn't just whatever Claude Opus 4.6 can generate from a single prompt. Like what is going to separate you from every other website that does that.

Leo Laporte [01:49:04]:
It's really about how you learn, isn't it? So here's a good question though, once you learn. So for me, it was really interesting to learn that numbers squared was called squared because it referred to, in fact, a square. The area of a square is this. Multiplied the sides Together, those are 3 by 3 by 3 by 3 square. The square of 3 is 9, which is the area of the square. And when you. There's a process of learning that, that you can't just what I just described. I don't know if you can learn that abstractly, but if you do it, if you write it on paper and you do it, you learn it.

Leo Laporte [01:49:47]:
Now, do you ever need to do it again? Probably not. You don't need to keep making pie charts and keep making cutting cylinders and bisecting cylinders and things. But it is valuable to do that initially. That's how you learn. Right. But you don't have to write a thousand articles about without financial results.

Paris Martineau [01:50:07]:
No, I mean, I just think that like we need to think carefully about what we're offloading.

Jeff Jarvis [01:50:16]:
Yeah.

Paris Martineau [01:50:16]:
We're losing to these tools and what we lose. I think that's fair.

Leo Laporte [01:50:20]:
Yeah, it's about.

Jeff Jarvis [01:50:22]:
But what we might also gain because the waste of time. My favorite example of this was always the Buzzfeed 2 color dress story. And I would go to journalism conferences and I would say, how many of you had your own version of that story? And every hand would go up. An utter waste of journalistic resources.

Leo Laporte [01:50:39]:
Yeah, no kidding.

Jeff Jarvis [01:50:40]:
For everyone to buzzfeed story was fine. It was cute, it was fun. It was what it was. They all rewrote that story so they could get their own SEO and their own social clicks and a complete and utter waste of journalistic resource. Don't do it.

Leo Laporte [01:50:54]:
I see that now when I do my beat check. There's so many duplications. I'm actually now having the AI do some deduplication. But the trick is, what's the best story? Maybe is it the original story, the one you want? I guess it is sometimes.

Paris Martineau [01:51:08]:
But sometimes somebody asks or sometimes someone like has. Yeah. An interesting angle. They have additional reporting that they're able to add to it. And I think that that's got to be the differentiating factor for all of this. But I think these are the questions that people across all these industries are gonna have to start asking themselves. Is like, yeah, yeah, sure, you can just like automate the most bare bones, average of average version of it, but what value does that add? You need to be thinking about what is valuable about the work you're producing, not just how much work can you produce. And how quickly can you do it?

Leo Laporte [01:51:40]:
You're watching intelligent machines. Jeff Jarvis, Paris Martineau. We're glad you're here. Let's start our picks of the week as we always do with Paris Martineau.

Paris Martineau [01:51:48]:
I'm shocked that we're here. This is the fastest show we've done in years, I think. Leah, are you okay?

Leo Laporte [01:51:58]:
I am attempting to make the show shorter.

Paris Martineau [01:52:01]:
I didn't. I thought that was a bit.

Leo Laporte [01:52:03]:
No, it's not a bit. I even. I even vibe coded a. A little clock. You'll see right here.

Paris Martineau [01:52:11]:
Is it a clock?

Leo Laporte [01:52:14]:
It's a clock.

Paris Martineau [01:52:15]:
Wait, don't you have. Oh, it's a clock. That just says content with an ominous photo of a.

Leo Laporte [01:52:21]:
The frog is my wallpaper. This is.

Paris Martineau [01:52:23]:
I just like that. The. The frog looks like it's judging you.

Leo Laporte [01:52:26]:
Yes, it does. Exactly.

Paris Martineau [01:52:29]:
Imagine a frog that is just looking deep into your soul. Yeah. Make it so that the frog is kind of holding it.

Leo Laporte [01:52:35]:
That's a good idea. I will. I will get Claude up to work.

Paris Martineau [01:52:38]:
Well, Leo, my pick was gonna be the thing that you put as your pick. So I've got two kind of crappy picks instead.

Leo Laporte [01:52:43]:
No, no, do the pick. No, no, you go first. So you can steal my pick.

Paris Martineau [01:52:48]:
Well, then my pick is gonna be this wonderful collection of obsolete sound.

Leo Laporte [01:52:53]:
How did you find this? I'm so impressed.

Paris Martineau [01:52:55]:
I came across on Blue sky or Twitter. It's in one of my bookmark folders.

Leo Laporte [01:52:59]:
So here's. Don't look at the screen. Let's see if Jeff will know this. Here's a sound. Jeff, what is this? Hello?

Jeff Jarvis [01:53:10]:
Silence. That's what the sound is.

Leo Laporte [01:53:11]:
Yes, it's.

Paris Martineau [01:53:12]:
You got it. Good job.

Leo Laporte [01:53:15]:
Why is it not making the sound?

Paris Martineau [01:53:16]:
Please. This doctor's just standing here looking.

Leo Laporte [01:53:20]:
Let's play a random sound. It's not very loud, is it?

Jeff Jarvis [01:53:25]:
I think I just hurt my stomach. Was that it?

Paris Martineau [01:53:28]:
Oh, no, it's working for me. But it is.

Leo Laporte [01:53:30]:
It's just not very loud for you. It's just not bright.

Paris Martineau [01:53:35]:
You have to click on the computer icon.

Leo Laporte [01:53:40]:
It's just not very loud.

Paris Martineau [01:53:44]:
So basically it is a collection of disappearing sounds and sounds that have gone extinct.

Jeff Jarvis [01:53:53]:
Like payphone.

Leo Laporte [01:53:55]:
Like a mobile phone interference. Remember that?

Paris Martineau [01:54:00]:
You'd Hear Philips Type HM3210 coffee grinder. Like the sound of winding up a pipe. Pocket watch, a cash. An Olivetti Dora typewriter.

Leo Laporte [01:54:12]:
Oh, I had an Olivetti. I love my Olivetti.

Benito Gonzalez [01:54:14]:
Is there cigarette vending machine here?

Leo Laporte [01:54:17]:
Oh, that's the sound you don't hear much anymore.

Benito Gonzalez [01:54:20]:
You know, like, you have to pull the tabs.

Jeff Jarvis [01:54:22]:
That old dial telephone. Let's do that for Paris.

Leo's Laptop Audio [01:54:24]:
Thank you for buying a Phillips video.

Paris Martineau [01:54:30]:
This is great. Yeah, they've got an old cash register in there.

Leo Laporte [01:54:36]:
Yeah, you don't hear this much.

Jeff Jarvis [01:54:37]:
Quiet. That's too quiet.

Leo Laporte [01:54:38]:
Yeah, yeah, they're very quiet. I've got it turned all the way up. I can't. Also, unfortunately, each sound in the project is recomposed and reimagined by artists.

Jeff Jarvis [01:54:48]:
Oh, no.

Leo Laporte [01:54:49]:
So it's kind of. Oh, now it's stuck. Stop it. That's the old dial telephone.

Paris Martineau [01:54:57]:
Yeah. I mean, I think part of the reason why it's been reimagined is that they can play the. Them play with it, you know, so that they can actually have them and have them available for you to download.

Leo Laporte [01:55:07]:
I like this notion that you. That you're gonna have a time when you just don't hear that sound anymore.

Paris Martineau [01:55:13]:
Yeah, sounds will just, you know, disappear. I mean, they have an attendance recorder in here. They've got a lot of coffee grinders

Leo Laporte [01:55:25]:
that. That's the drawer coming out of the cash register.

Jeff Jarvis [01:55:29]:
Cash. What's that?

Leo Laporte [01:55:30]:
Cash. Well, as soon as Trump signs the dollar bill, that's it for me. I'm going to coins. Oh, wait a minute. He's on the coins, too. Oh, no, no.

Jeff Jarvis [01:55:42]:
Pennies.

Paris Martineau [01:55:42]:
I. I'll also shout out because it was a partially stolen pick. Semaphore had a great piece this week about the oldest job in journalism, New York Post runners, which are.

Leo Laporte [01:55:57]:
I bet Jeff know, are.

Paris Martineau [01:55:59]:
They are the reporters that every single day wake up, don't know where they're gonna go, but they've got. They get a call and are told, hey, you got to get to the Bronx and knock on doors in this building and figure anybody who's witnessed this crime go.

Leo Laporte [01:56:13]:
Does that still exist?

Kate Lee [01:56:15]:
Yes.

Paris Martineau [01:56:15]:
And they do a. That's reporters.

Jeff Jarvis [01:56:18]:
We did.

Leo Laporte [01:56:18]:
But I mean, but it was. It was a reporter without an assignment. It was like, you know, this is. You'll find out when the desk at

Paris Martineau [01:56:23]:
the Post that's still exactly exists to this day, and when a lot of other newsrooms don't have this kind of specific type of assignment thing. But it is a general assignment reporter. Yeah, it's a general assignment reporter that. No, but their specific job in the Post is to, like, physically get to a place as fast as possible and do something in person while someone else is writing something up for them.

Jeff Jarvis [01:56:48]:
Yeah, well, that's. My job was to be the person back at the office and rewrite yeah. And they would call in the notes. Meanwhile, I pull up the clips, I figure out what else is going on. I get the, you know, city wire and all that and then write a story on Deadline. So I love this process.

Leo Laporte [01:57:01]:
The semaphore piece follows one runner from the Post, Reuven Fenton, and he goes around and does a bunch of stuff. I mean, it's not just one thing in one day. Oh, no, he's a busy guy.

Paris Martineau [01:57:14]:
I mean there's a. I've like met a couple of these people at various, like parties or journalism events and they always end up telling some kind of wacky story about a non insignificant part of their job. Is like when someone is murdered or dies in a very public way to track down their loved ones and bang on their door till they talk to you.

Jeff Jarvis [01:57:38]:
Oh, I had to do that when the plane crashed. You call the first names you get get are the flight crews. Oh, and so you end up calling the flight crews family and, and you know, the lie of journalism. I'm sure you want to tell people

Leo Laporte [01:57:52]:
your story about your.

Jeff Jarvis [01:57:53]:
Oh, Jesus, I feel ashamed of myself for that.

Benito Gonzalez [01:57:55]:
So are you often the person, are you sometimes the person who has to tell them that, that, that this happened?

Jeff Jarvis [01:58:01]:
Wasn't supposed to be the case, but

Paris Martineau [01:58:02]:
it's certainly possible given, I mean, they say in this. The nature of the runner's job is to operate inside legal and ethical gray zones. And needless to say, you can't do any of it from your desk. Quote, it's easier to hang up on someone. One of them told him. It's harder to slam a door in their face. I mean, that's the kind of, the purpose of this. Like, yeah, I think that this is a trap I often fall into a lot because I've grown up in this age of journalism, digital journalism, where I'm like, oh, well, you know, give somebody a call, text them, you know, some emails if you want to get the real stuff.

Paris Martineau [01:58:35]:
You got to go and knock on people's doors till they tell you, you no, don't, I don't want to talk to you. And that's a lot harder.

Jeff Jarvis [01:58:41]:
The other job was to get a photo of the dead person to ask the grieving mom, can I, can I borrow that photo?

Leo Laporte [01:58:48]:
Are there some people who love this job or is this a paying your dues kind of thing?

Benito Gonzalez [01:58:53]:
The ethical gray zone. The ethical gray zone part sounds fun for some people, I'm sure.

Jeff Jarvis [01:58:57]:
There was one guy we had at Chicago Today, the paper that had to borrow if it was really embarrassed he would ask anybody any question. Question. It was like, let Mikey try it. You would send him out and he would, he would ask anything of anybody the rest of us didn't want to do.

Paris Martineau [01:59:14]:
I mean, there are certainly some reporters that like that is. Their whole edge is they have no sense of shame. I would say social shame or empathy or human world. They will ask any question no matter how deeply uncomfortable it makes someone or how. How large of a reaction it gets from them. That could be negative. Could potentially. I am always deeply concerned and anxious and wrought with guilt that I am messing someone up or re traumatizing them by not asking about something in the right way.

Paris Martineau [01:59:52]:
That means I get worse stories, such

Leo Laporte [01:59:55]:
as a tweet that you fell for. That was an April Fool's tweet from the Nestle.

Paris Martineau [02:00:01]:
Okay, I'm mad about this actually, which is I'm the biggest fan of Crunch bars. It's a thing my friends make fun of me for. If they're going to bodega and you get something. I'm like, please give me a crunch bar. If I'm at the movie theater, I want to get a thing of bunch of crunch and have a little bit of bunch of crunch and some popcorn.

Leo Laporte [02:00:18]:
And so I like Chunkies. Do you ever have a Chunky?

Paris Martineau [02:00:22]:
We're going to get there. We've got to. I've got a one track mind. I saw this tweet. Important to note this Tweet. Posted Mark March 30, 10:13am it's not April Fool's Day and so I got my hopes up. It says you've been pairing bunch of crunch with popcorn for years. Now it gets its rightful spot in the concession stand.

Paris Martineau [02:00:43]:
Introducing the bunch of Crunch concession dispenser experience coming soon. It mixes bunch of crunch in with your popcorn, which would be ideal.

Leo Laporte [02:00:51]:
That sounds so good.

Paris Martineau [02:00:52]:
But no, it was just a lot. It was an April Fool's lie. Not a jape, not a jest. Because it does not come on April Fool's Day. And I refuse to be considered an April Fool.

Jeff Jarvis [02:01:04]:
I hate. It's my least favorite day of the year. I hate it.

Leo Laporte [02:01:07]:
I hate it. I actually, inspired by one of our club TWIP members, asked Claude to come up with the base best April Fool's pranks for the year. For this year. And there were more than I thought. Tom's Guide had an AI powered alarm clock that wakes you up by automatically brewing 8 o' clock coffee. Ad Age said this year's pranks lean heavily into the blurred line between Fake and real. Raising Canes enlisted McKenna Grace to unveil Cane's sauce Coke, a fake Coca Cola variety inspired by the chain's signature sauce. Arco Golf analytics announced smart pants and intelligent golf apparel system with advanced biometric monitoring adaptive climate control.

Leo Laporte [02:01:58]:
The Royal Albert hall announced a Gen Z youth initiative called Let Them Cook. I'm not sure what that. What that means.

Jeff Jarvis [02:02:07]:
T Mobile had a cologne that smells like a phone.

Leo Laporte [02:02:11]:
Here is AI sticker printing machine for Fido. It's called Pet Mode.

Paris Martineau [02:02:18]:
People kept sending me links to Indian fitness company or like some sort of wellness brand that announced a protein condom.

Leo Laporte [02:02:29]:
Oh, geez. That makes sense. Was there lead in it? Is the question.

Paris Martineau [02:02:34]:
I mean, that's.

Leo Laporte [02:02:34]:
Yeah, it puts the lead in your pencil. Our very serious legit ranking of the best live products Apple's ever made. These are all from Tom's Guide. Here's Yahoo. It's no more scrolling interface. I don't know. I don't get it. The scroll stopper.

Leo Laporte [02:02:53]:
It's available in the TikTok shop. Oh, it's a thing you put on your thumb so you can't. You can't scroll anymore.

Jeff Jarvis [02:03:02]:
The chastity belt for your thumb.

Leo Laporte [02:03:04]:
It's a chastity belt for your thumb. No more scrolling. Here's the smart golf pants. That's not a joke. That's April Fool's launch. Big Head Mode. That's actually real in Fortnite. They've done that before.

Paris Martineau [02:03:21]:
Yeah, a lot of games have Big Head Mode.

Leo Laporte [02:03:22]:
Big Head Mode.

Paris Martineau [02:03:23]:
It's a big thing.

Leo Laporte [02:03:24]:
Yeah. Wouldn't you like it?

Paris Martineau [02:03:26]:
It's a big thing. It's a big head.

Leo Laporte [02:03:27]:
A big six speed manual shifter for your phone from Bitmo Labs. Anyway, we're glad we didn't have to do any April Fool's jokes today.

Jeff Jarvis [02:03:38]:
Yeah.

Leo Laporte [02:03:39]:
Jeff, your pick of the week.

Jeff Jarvis [02:03:41]:
Well, I just want to say that tonight is the last night.

Leo Laporte [02:03:46]:
Whatever that is. It is disgusting. I don't.

Jeff Jarvis [02:03:49]:
What is that? Tomorrow, Maybe I should record this for Paris.

Leo Laporte [02:03:52]:
I know. It's upsetting, isn't it?

Jeff Jarvis [02:03:54]:
Tomorrow nurse Cindy is coming to take the foot and a half long catheter out of my arm.

Leo Laporte [02:04:00]:
But that's good news because you're getting better.

Jeff Jarvis [02:04:03]:
Yeah. Yeah. I'm not looking forward to. I'm looking forward to being gone.

Leo Laporte [02:04:07]:
So. Wait a minute.

Jeff Jarvis [02:04:08]:
It's.

Leo Laporte [02:04:08]:
It's in. On. And it goes on.

Jeff Jarvis [02:04:10]:
It goes from here all the way up right over the heart because that's where the. The volume, the. The speed is the fastest. So the stuff will mix in and this is a pressure bulb, and it cooks into my thing and. Yeah, I have to spritz in saline. I have to rub it with alcohol. I've been doing this for 10 weeks. 10 weeks?

Paris Martineau [02:04:33]:
Was that 10 weeks ago?

Leo Laporte [02:04:35]:
Glad you're feeling better.

Jeff Jarvis [02:04:36]:
10 weeks since I got out of the hospital.

Paris Martineau [02:04:38]:
10 weeks ago. You podcasted from the hospital?

Jeff Jarvis [02:04:40]:
Yeah.

Paris Martineau [02:04:41]:
That's crazy.

Jeff Jarvis [02:04:42]:
Time flies in my hospital gown. I have no shame. All right, for a pick, college instructor turns to typewriters to curb AI written work.

Paris Martineau [02:04:58]:
Okay.

Jeff Jarvis [02:04:59]:
It's kind of fun.

Leo Laporte [02:04:59]:
I don't use typewriters. Yeah, great. This is a Cornell. Wow. Oh, but they have to do it in German, which is. That's really cruel.

Jeff Jarvis [02:05:10]:
It's doubly because the German typewriter keyboard is actually different. The Z is very important.

Leo Laporte [02:05:15]:
Oh, Lord, look at them. They're really struggling.

Jeff Jarvis [02:05:21]:
One says, oh, that's why it's called Return. Yeah.

Leo Laporte [02:05:26]:
These poor kids.

Jeff Jarvis [02:05:28]:
Did you ever use typewriters as a normal thing?

Leo Laporte [02:05:31]:
I think we talked about this.

Jeff Jarvis [02:05:32]:
Never, right?

Paris Martineau [02:05:33]:
I mean, not as a normal thing as in. Like in my childhood. However, in. In college, whenever I was studying abroad in France, I would often go to the Shakespeare's Cafe, whatever it's called. Shakespeare and Company. They had typewriters there. And so during a time where I was at my most intolerant, intolerable, and I had to, like, translate poems into French for some assignment, I would translate them, and instead of writing them out, I would have them typewritten on there. And then my teacher would always.

Paris Martineau [02:06:09]:
Professor would give them back and be like, I can't mark this up. It's too pretty. Which I always thought was kind of funny.

Leo Laporte [02:06:16]:
We did a big head mode for April Fool's Day one year in our Twitch studios. There's Father Robert and me with our big heads.

Paris Martineau [02:06:24]:
Those heads are pretty large.

Leo Laporte [02:06:28]:
This is when we had the technology. My God, look at that studio. You never saw this studio, did you, Paris?

Paris Martineau [02:06:35]:
I never saw any studio in person.

Leo Laporte [02:06:37]:
Yeah.

Paris Martineau [02:06:39]:
When are you coming to New York? And what studio are we gonna book here?

Leo Laporte [02:06:42]:
Oh, yeah. We gotta get a studio to do the show.

Paris Martineau [02:06:46]:
We need to have, like, three costume changes. We gotta have corn shirts. We've got to have hospital gowns. Some third thing maybe you can do.

Jeff Jarvis [02:06:54]:
Closes at like, 1:30. When he runs out, we should be able to do it in his place, right?

Leo Laporte [02:06:58]:
Yeah, I think so. Yeah, we could do it.

Paris Martineau [02:07:00]:
But do we have the lighting and setup? Does he have Ethernet connection in there?

Jeff Jarvis [02:07:04]:
That's a point.

Leo Laporte [02:07:05]:
Supposedly built a studio in the. In the restaurant.

Jeff Jarvis [02:07:09]:
He was Going to fix sandwiches in the window, wasn't he?

Leo Laporte [02:07:11]:
Yeah, he was. And stream it all. That never really happened.

Jeff Jarvis [02:07:14]:
No.

Leo Laporte [02:07:15]:
You know why? It was too much work.

Benito Gonzalez [02:07:17]:
They have to make way too ambitious. That was so ambitious.

Leo Laporte [02:07:20]:
Well, no, I mean they didn't know they were going to be selling sandwiches by the, you know, every second another sandwich. So that is about it for this show. I wish we had the big head mode now. We don't have a tricaster anymore. That was back in the day when we had all the kids.

Jeff Jarvis [02:07:37]:
That's how you do it.

Leo Laporte [02:07:42]:
It's actually pretty funny. We do this show every Wednesday right about 2pm Pacific. 5pm Eastern. That's 2100 UTC. You can watch us if you're in the club. In the club Twit Discord. Otherwise watch on Twitch, YouTube X, Facebook, LinkedIn, Kik after the fact on demand versions of the show at TWiT TV IM. There's an Intelligent Machines channel on YouTube for the video or you can subscribe in your favorite podcast client and you'll get it automatically as soon as we are done.

Leo Laporte [02:08:14]:
You will find Paris Martineau at the wonderful Consumer Reports. Are. Have you filed lately or are you working on some massive expose?

Paris Martineau [02:08:24]:
You know, it's a great question, Leah. It's a great question with great answers.

Jeff Jarvis [02:08:30]:
She's not going to give them to you.

Paris Martineau [02:08:31]:
I'm not. I mean there'll be a. I'm working on a couple different stories that have weirdly competing timelines but. But things will come out when they come out.

Jeff Jarvis [02:08:41]:
Yeah, when they're ready.

Leo Laporte [02:08:44]:
Okay. That's a non answer answer as they say in the business. Yep. Yep. Anyway, thank you Paris for being here. Paris nyc. We can work on how did your secretly British Saturday go?

Paris Martineau [02:09:00]:
It didn't happen. I'm sorry. It needs to happen.

Leo Laporte [02:09:04]:
No, it doesn't. No. You need to do things you enjoy.

Paris Martineau [02:09:06]:
I company my friend to watch him get a tattoo instead.

Leo Laporte [02:09:09]:
Oh my.

Paris Martineau [02:09:09]:
This week could be.

Leo Laporte [02:09:11]:
Oh my. Were you there just for moral support or did you join?

Paris Martineau [02:09:14]:
I was, but I might. I might get a tattoo this weekend. I don't know.

Leo Laporte [02:09:18]:
And what would you get if you got a tattoo?

Paris Martineau [02:09:20]:
I mean that's the question. It's going to be kind of a walk in situation. We'll see. I need to.

Leo Laporte [02:09:25]:
This is something you're going to have for the rest of your life.

Paris Martineau [02:09:28]:
I know.

Leo Laporte [02:09:28]:
Turning into a dad and you're gonna just walk in and choose it random. No. And he's.

Paris Martineau [02:09:33]:
Isn't that kind of fun? Does it need to be meaningful? Yes. Life not meaningful.

Jeff Jarvis [02:09:39]:
Leo regrets his.

Leo Laporte [02:09:41]:
Yeah, but you can't. That's where the sun literally don't shine.

Paris Martineau [02:09:44]:
I already have a tattoo, so. You know what?

Leo Laporte [02:09:46]:
I think you have. I've said I saw one in a picture.

Paris Martineau [02:09:50]:
Bowie.

Leo Laporte [02:09:51]:
It's of David Bowie

Benito Gonzalez [02:09:54]:
of his head, Ziggy Stark.

Paris Martineau [02:09:57]:
Yeah. I can't pull my arm. My shirt up farther enough, but it is the Ziggy Stardust.

Leo Laporte [02:10:02]:
And why did you get David? That's a very interesting thing for a person of your age to get.

Paris Martineau [02:10:06]:
He's one of my favorite artists of all time.

Leo Laporte [02:10:08]:
Really interesting.

Paris Martineau [02:10:10]:
I think just an incredible creative.

Leo Laporte [02:10:12]:
I'm a fan. I'm a fan. He used to watch our TV show. He was a fan of the screensavers.

Paris Martineau [02:10:18]:
Oh, it's delightful.

Leo Laporte [02:10:19]:
Yeah.

Paris Martineau [02:10:21]:
Wow.

Leo Laporte [02:10:21]:
Well, that's. That's a. That's. That's a. So maybe you could get Kiss on the other bicep. Get Jean Simmons or something.

Paris Martineau [02:10:28]:
No, no, no. This arm, I want to do a full, like, incorporated sleeve that I plan out, but this arm, I want to do more like a little guy.

Jeff Jarvis [02:10:35]:
What about your acting career? No.

Leo Laporte [02:10:37]:
Yeah. What about your acting career?

Paris Martineau [02:10:38]:
All the actors have tattoos now.

Leo Laporte [02:10:40]:
They do.

Paris Martineau [02:10:42]:
It's true.

Leo Laporte [02:10:43]:
It's true. Jeff does not have. Is the only person.

Paris Martineau [02:10:46]:
Wow. This is, I think, the biggest differentiation. This is the biggest point of conflict in our podcast history, I think, is you two being genuinely disappointed.

Leo Laporte [02:10:55]:
Dismayed. Dismayed by my tattoo plans, as your parents no doubt would be, as well.

Paris Martineau [02:11:00]:
I really want to. Part of the thing is I want to find someone for the little ones. I want to get more medieval wood cut style tattoos.

Leo Laporte [02:11:08]:
Oh, like a pentament tattoo. Why don't you get Gutenberg?

Jeff Jarvis [02:11:12]:
You should have Gutenberg.

Paris Martineau [02:11:13]:
That's actually very interesting.

Leo Laporte [02:11:15]:
Hey, get a line of type. Help Jeff promote his book.

Paris Martineau [02:11:19]:
That could honestly be interesting.

Jeff Jarvis [02:11:20]:
Put the COVID up, Put the COVID up. It's very intricate.

Leo Laporte [02:11:24]:
So when you go to the tattoo artist, do you go in with materials or does he have a book that you.

Paris Martineau [02:11:30]:
Well, so this is the thing is, I've normally been the sort of person that would. Only my tattoo, like, pitched it to a tattoo artist. We worked with it. They, like, had some, you know, examples for what it looked like we decided on it. But I've been meaning to get more tattoos for the last.

Leo Laporte [02:11:47]:
I've been meaning to get more tattoos

Paris Martineau [02:11:49]:
years, but never have because I'm like. Well, like, I don't know what to do. Don't pitch it.

Leo Laporte [02:11:53]:
How old are you when you Got David Bowie?

Paris Martineau [02:11:56]:
20.

Leo Laporte [02:11:57]:
Really?

Jeff Jarvis [02:11:58]:
Do your parents have tattoos, if I may ask?

Leo Laporte [02:12:00]:
No, no, of course not.

Jeff Jarvis [02:12:01]:
What do they think about you getting a tattoo?

Leo Laporte [02:12:03]:
It's her generation.

Paris Martineau [02:12:04]:
They were dismayed. They. They probably have the exact same reaction. They often. I'll see them like, so do you still feel okay with your decision to get a tattoo? And I'm like, yeah, I do, actually. Thanks.

Leo Laporte [02:12:17]:
Yours is fairly innocuous. Now, Paul has a good suggestion in our club. Twit. You should get your New York City tree maintenance certificate tattooed so that you'd always have it available in case of questions. A certified tree maintainer, a civic tree person.

Paris Martineau [02:12:36]:
You know, I. My editor at work had heard me bragging about it and has signed up and is going to be a license citizen tree pruner as well.

Leo Laporte [02:12:46]:
Wow. Wow. You're starting a movement.

Jeff Jarvis [02:12:50]:
You know the tattoo gun. The tattooed device was actually a. A successor to an invention by Edison that was meant to create stencils to duplicate documents.

Leo Laporte [02:13:06]:
Oh, on your wrist,

Jeff Jarvis [02:13:10]:
little holes in the paper so you can make stencils to do it. And that didn't work. But instead it puts little holes in your skin.

Leo Laporte [02:13:17]:
I'm at Trees New York trying to find the. If they have a citizen pruner kind of license or I mean, I could

Paris Martineau [02:13:25]:
just get like the part.

Leo Laporte [02:13:26]:
This tree.

Paris Martineau [02:13:28]:
It's a London plane tree leaf, which is.

Leo Laporte [02:13:31]:
That's a good. That's a good look.

Jeff Jarvis [02:13:33]:
That's a very New York.

Leo Laporte [02:13:34]:
Yeah, I think that'd be. Be good. That would be. It would say kind of want to

Paris Martineau [02:13:37]:
get a New Yorker knife or sword sort of situation here.

Leo Laporte [02:13:40]:
It looks a little bit like a hypodermic inserting itself into a cancer cell, but, you know, other than that.

Jeff Jarvis [02:13:49]:
So when, when Leo does finally come to New York, we have to, I think, take him to your tattoo parlor to get a Claude. Let's get logo.

Leo Laporte [02:13:56]:
Let's get. Guys, let's all get tattoos. Let's all get brains tattooed.

Paris Martineau [02:14:01]:
Yeah, that could be fun.

Leo Laporte [02:14:02]:
I would do that.

Paris Martineau [02:14:03]:
I would do it.

Leo Laporte [02:14:04]:
I would do that. That would be pretty funny, honey.

Paris Martineau [02:14:09]:
Listen, what else is. What else are you gonna do with your skin?

Leo Laporte [02:14:14]:
Yeah, what else are you gonna do? Jeff Jarvis's new book, Hot Type is available for pre order. You go to jeffjarvis.com and you could also get the Gutenberg parenthesis, which is fabulous. And paperback magazine, his history of the magazine magazine, the Web we weave. He's written many books and. And soon he's going to be editing a series of books about AI which is pretty darn exciting.

Jeff Jarvis [02:14:38]:
Intelligence, AI and humanity. Bloomsbury Academic.

Leo Laporte [02:14:41]:
Nice. Thank you, Jeff. Thank you, Paris.

Paris Martineau [02:14:46]:
Shout out to everybody sending me woodcut and cool medieval tattoo recommendations that are in New York City. Keep them going, guys, because it's hard to find good tattoo artists on the Internet.

Leo Laporte [02:14:57]:
We are all going to get. When we go to New York City to celebrate intelligent machines, we're all going to get this tattoo of a brain on our back.

Jeff Jarvis [02:15:07]:
Oh, Jesus.

Paris Martineau [02:15:08]:
Oh, boy.

Leo Laporte [02:15:10]:
That would take a long time, wouldn't it? We need something simpler. Yeah.

Paris Martineau [02:15:15]:
Something corvid detective in here.

Leo Laporte [02:15:19]:
Oh, corvids, of course, are crows.

Paris Martineau [02:15:22]:
Yeah, yeah. Really enjoy it.

Leo Laporte [02:15:25]:
Adam Savage has a ruler tattooed on him so he can measure things with his forearm.

Benito Gonzalez [02:15:31]:
Honestly, I think slowly goes out of scale, though, right? Slowly goes out of scale, yeah.

Paris Martineau [02:15:35]:
But, you know, don't we all?

Leo Laporte [02:15:37]:
I think it's kind of ugly, to be honest.

Paris Martineau [02:15:39]:
I mean, it's not. I've seen a lot cuter ones. There's some minimalist, like a little line situation.

Jeff Jarvis [02:15:46]:
Pdp, eight switches.

Leo Laporte [02:15:48]:
I'm going to get the Bowie lightning right on my face.

Paris Martineau [02:15:54]:
If only I can. You can kind of see it if I pull up here. Ish. You know, it's. It's a good tattoo. It's good. You should get one.

Leo Laporte [02:16:04]:
I think I actually am impressed that you would be so sophisticated as a young person.

Jeff Jarvis [02:16:13]:
How much did it hurt?

Paris Martineau [02:16:16]:
Not at all.

Leo Laporte [02:16:17]:
It feels like it's kind of a prickly vibration. It's like a bzz.

Paris Martineau [02:16:21]:
I mean, this was just a line, a simple line tattoo. So it frankly didn't really hurt at all, is what I would describe. I think a more in depth one might hurt more.

Leo Laporte [02:16:31]:
I held my fingers.

Benito Gonzalez [02:16:32]:
It hurts when you fill. When you fill it in, that's when it hurts. If you want to color it.

Jeff Jarvis [02:16:37]:
Whose hand did you hold?

Leo Laporte [02:16:39]:
I held Jason's hand. Jason Cleanthus hand. I met him because he had a twit tattoo on his inner wrist. And he was my producer for some years and he was there. And I held his hand and gritted my teeth as I subjected myself.

Jeff Jarvis [02:16:54]:
Lisa screamed at you?

Leo Laporte [02:16:56]:
Yeah, she was not happy. The ultimate humiliation. She's the only one who sees it. So it's. I don't see it. Thank you, everybody, for joining us. I'm sorry about this last bit, but I hope you will come back. We will see you next time.

Leo Laporte [02:17:11]:
Time on Intelligent Machines. Bye bye.

Benito Gonzalez [02:17:14]:
Bye bye.

Leo Laporte [02:17:15]:
I'm not a human being.

Paris Martineau [02:17:18]:
Not into this animal scene. I'm an intelligent machine.