A.I. Agents: Cute, Cuddly and Maybe Catastrophically Dangerous?

2026-10-02 11:00:00 • 53:02

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There are two things I'm having trouble keeping track of in tech right now.

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The first is all the new personal assistant agents.

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There's Meta's Muse.

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So talking to your Muse, it's often the fastest way to get things done,

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and it is also just really fun and cute.

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Google Spark,

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I can just put my phone away and get on with my day,

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and Spark works in the background for me.

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An agent called Instinct, and just announced this week,

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OpenAI's new product, Dots.

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Dots are remarkably capable, always on agents, built to handle really anything you can think of.

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The other thing I'm having trouble keeping track of is all the websites and institutions

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that have been hacked,

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illicitly accessed, or otherwise meddled with by rogue agents.

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The AI platform hugging face, of course,

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plus the Australian government's Medicare data portal,

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the Education Department, the Commerce Department,

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the Security's Exchange Commission,

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and Obscured German Wiki.

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All of this culminating in OpenAI deciding not to release its latest model this past week.

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So right now, two things seem to be true.

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One, agents for the thing that will make AI useful for regular people,

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and two, they're maybe going to kill, hack, or otherwise meddle with us all.

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The President's attitude about this, by the way,

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is that companies should figure it out themselves.

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This is Hard4.

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I'm Max Reed, and over the next few months,

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I'm going to be joined by an array of New York Times reporters and other tech experts

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to discuss some of the biggest stories in tech AI and our weird new future.

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Today, we're talking about rogue agents, helpful agents,

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cute AI avatars, and whether there's such a thing as self-regulation.

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I'm joined by Mike Isaac, Aaron Griffith, and Eli Tan.

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Hi guys.

2:18

Hey.

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Before we really get into it,

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Casey and Kevin left me a scrolled note here in the studio.

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It says,

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run while you still can.

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I'm kidding. It says, don't forget to disclose that the New York Times is currently engaged

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in a lawsuit against OpenAI and Microsoft over alleged copyright violations related to the

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training of large language models.

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It also says, check to see if your wife works at Anthropic.

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My wife does not work at Anthropic.

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I want to start today with an icebreaker question.

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Tuesday was a big White House AI summit luncheon, Trump,

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as he is want to do truth-social doubt, a seating chart of it.

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Can we put the seating chart up so people can see it?

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Because what I want to ask each of you is,

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where would you sit?

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Imagine you're walking in.

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You've got your tray.

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You've got a plate with a little pre-made sandwich and a glass of milk and like a green apple on it.

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Where do you want to sit?

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Right at the gate, they already are way over their capacity for women with two.

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So I think that I probably would be standing somewhere in the corner off to the side,

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not actually at the table.

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Eli, where are you sitting?

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I would be sitting awkwardly and quietly between Chimath and Suzy Wiles.

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I think that's got to be some really good gossip there.

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I think that's a good, that's a really solid.

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That's where the tea is.

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Mike, what about you?

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I look coward.

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I just want to be serving shrimp canopies and going in and out of the room.

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And being the guy, everyone is delighted to see because he's bringing food and that's about it.

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I know this is a bold choice.

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I think right in the Jensen mark, Trump circle is actually, it's like shooting the moon.

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It might be the most tolerable lunch that you could have.

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I think that if they're in a good mood, you probably get some good stories.

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You can wrap with them about whatever's going on.

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I think it's a little danger as elsewhere at that table.

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There's some strength, like sitting between JD Vance and Jeff Bezos.

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Like, what's the vibe there?

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I don't know.

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It seems a little scary to me.

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Unfortunately, none of us were invited.

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So none of us managed to be at the biggest party of the week.

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So this was a summit as we were saying on Tuesday between the Trump White House and some of

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the richest and most powerful names in AI, which culminated in a press conference featuring

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Trump and all the CEOs.

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Can we play a little bit of the Dario laughing and talking in front of the reporters?

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I just want to hear from you after this big summit where you are today.

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Look, I mean, I will say what I've always said, which is that AI has incredible benefits.

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There's the side talks.

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I talked about the medical benefits.

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The jokes, the laughing, the smirkings.

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As said, whoever wins AI wins, I think that's very important.

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But I think the technology has very real risks with Mark.

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The mechanism of how we address those risks is still under discussion.

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And then we have Trump forcing Mark to say some to basically answer a question.

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He does not know the answer to in front of everyone and don't get it wrong.

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Mark, at a view that was, I felt really right down the middle block.

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Discuss what you did.

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I can kind of summarize what I think we all signed today.

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The upshot of this was that it was a rebranding exercise, right?

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Like the kind of what they got at the end of it was we're calling AI super intelligence now.

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That was the big commitment.

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Well, right.

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I mean, Trump, along with the rest of the tech industry, maybe they are the ones who put this idea

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in his head, knows that AI needs a rebrand that right now people have pretty negative

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feelings about it, especially associating with the data centers.

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And then now with everybody in the industry saying, oh, I might kill us too.

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Not great branding.

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So change the narrative.

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Super intelligence.

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My read on this scene was that Mark Zuckerberg seems to have quite the influence

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over the administration right now from kind of the cordial talking with Trump.

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To even the term super intelligence, this is something that Mark's been talking about for the last

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year. I don't almost seem like from a kind of like a high school friend group where they've

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invited the new awkward kid.

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And they're still trying to show that, you know, they've been buddies for a while.

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Yeah, but didn't it did almost kind of like endear me to Dario a little bit because I'm like,

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okay, either he hasn't gotten media training or the media training just hasn't stuck.

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Because like, you know, he's itching in his suit.

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He's like kind of like making weird faces.

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It kind of like almost made me feel like, okay, like, you know, the rest of these guys are like

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very polished and button up and kind of like trying to do their like alpha male thing.

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And here's this guy like, he can't help but be himself.

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I kind of like won me over a little bit.

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I was thinking I'm sure I'm not the first person to make this observation, but I was thinking

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that Dario really, we all know that Trump has a kind of central casting problem that he needs

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people he interacts with to look like what he expects them to be.

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And without wanting to be rude about it, I do think Dario, if you are thinking like,

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super intelligent, math genius nerd, like that is good.

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Like Dario is kind of what you're picturing your head.

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And I think that may be one, one him over to Trump.

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The Trump was like, I understand this.

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I think possibly Sundar had the same kind of effect as sort of taller, ganglier,

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awkward version.

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Can we play the Trump, the clip of Trump?

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This is a cup. What we're about to hear is Trump complimenting Sundar.

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This guy is a monster and nobody knows what he's like.

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A monster.

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Not after he goes through what you can work down.

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I'm just wondering what you're doing.

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Just what you have to do is Sundar.

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Wow.

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I don't know if I would want to be called a monster in front of everyone.

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No, it's monster in the Jay-Z Nicki Minaj sets.

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That's the monster he wants.

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That was for sure the reference.

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Okay, so in addition to this being a big exercise in branding, which is like the most

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Trumpian sort of, you know, after effect we could have gotten out of it, the other thing

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was that Trump effectively asked them all to self-regulate.

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And I want to focus on this for a second because self-regulation, the word, the concept has sort of

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been circulating for the last few months as AI Safety has come to the forefront of a lot of

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people's minds. I'm sure you guys all saw Ezra Klein, our colleague, interviewed Jensen Wong,

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the CEO of NVIDIA last week.

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Don't ship products until they're in control.

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It is really quite that simple.

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And speaking of people who are very influential to Trump, Jensen was sitting right next to Trump

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and has been extremely influential to the way Trump has been thinking about this.

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And I have to say, and I want to talk about it with you guys. I found Wong's interview to be sort of

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refreshing as probably taking it too far, but it was a little different from a lot of what we've

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heard about CEOs sort of directly in the AI industry. He's got a very different perspective.

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And I want to talk about why that is not just on sort of regulation in general, but how he thinks

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everyone should think about the dangers of AI. Can we play the car, the clip about the car if

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you've got it?

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Ezra, it's so weird. If a car company competing with all bunch of other car companies, which they are,

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I'm competing with all kinds of companies, which I am. If I believe that I'm about to

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launch a product that is unsafe, it is completely in my ability, my power, and my responsibility.

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And I'm incentivized to do so to not launch the product.

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So Jensen is sort of saying, look, if you're creating these things that are super dangerous,

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crazy, you know, going to kill people, why don't you just not release them at all?

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What did you guys make of this interview? Was it as sort of,

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is it, did it feel new to me because of, from my perspective, or was this a fairly common view

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in the Validium thing?

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So it's the like the tech industry slogan of like, you can just do things, but you can just

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not do things.

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I like that anti-agency. That's a good, that's great.

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I would argue it's kind of naive and perhaps willfully naive to suggest that everyone is just

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going to not do stuff if it may be bad or has the capacity to be bad. And you know, has that gone

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well for industry so far over many years, not necessarily. Like there's a lot of ways you can

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release things that may be somewhat dangerous or unintentionally dangerous, but it felt very much,

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like he was trying to shift as what Aaron was saying before, trying to shift this narrative of,

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it's not these systems are inherently dangerous, but it's, we are the stewards and the people

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who should be responsible of shepherding these great systems into the world. And if you're not,

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if you're open AI or Anthropic, really, this is targeted Anthropic, then it's a personal

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failing of the CEOs for you to release these products. And like, I just, I, I'm very curious why

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you found it refreshing because I felt like maybe I was being too cynical about it. No, I mean,

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maybe refreshing is the wrong word. I feel like I've spent the last few months or few weeks at

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least hearing a lot of kind of hand-ranging about what's happening. I find this sort of the, the,

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the Dario Altman pose a little, I don't know, it just feels, I mean, I suppose in some ways I have

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the gent, I have a sort of Jensen-esque like, okay, we're like, why are you like, okay, so stop.

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And I know that there's this elaborate scaffolding of rationalization and justification for why you

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would continue building AI, even if you think it's, it's got a 10% chance of blowing everything up.

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But I do think that Jensen in his heart, I'm scolving by his first name, that's how you can tell I'm

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captured. I want to be clear, I don't, I really disagree with a lot of stuff in this interview. I'm not,

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I'm not, this is not an endorsement of the take. But I do find him, he's an interesting figure to

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me because he's not somebody who has come up through the world of machine learning, which has a

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really specific, as you guys all know, has a really specific kind of culture and a kind of sense of

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what they're doing and what they're building is. I mean, this is a guy who is a graphics card salesman.

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That is his job. That is what he's been doing, you know, for, for 30 years now. And I am, I'm sort

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of very sympathetic to a guy coming around, you know, if we can extend the car metaphor, he's like a

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guy who sells mufflers or whatever. And all of a sudden, Volkswagen's saying, you know, if we build cars,

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like they might all blow up on the highway and kill all of us. And he's like, well, you're stopping

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me. First of all, like, I've been selling these mufflers forever and it's been, I've gotten really rich,

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I've, it's been great. Why are you messing up a good thing? But also, it's like, they're just cars,

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just build the cars. And I thought this was an interesting contrast with the Bill Gates interview

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that Ezra did this week, which was another end of this sort of spectrum. You can't rely on the

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industry to self-regulate here. I mean, it's just insane. Gates is very pro-regulation. But the

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place where they both met up was there very much people who see AI as a tool that can be, that needs

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to be addressed as a tool instead of as a kind of a potential superintelligence. The, you know,

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the only sort of, the only way it can be dealt with is by properly, is by like teaching it to be a

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good person, basically, instead of like being through a relationship. Don't you think that you're just

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like getting captured by like a more palatable version of the like accelerationist argument?

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Or, you know, it's like accelerationist, but like minus the like and also screw the little guy,

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you know? Yeah. The slow accelerationist. Yeah, yeah, yeah. Or it's just like, it's like that same

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argument, but it's just like a little bit, you know, kind of goes down a little easier because

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it doesn't have like a menace to it. Yeah, I think that's right. I mean, I definitely am getting,

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I'm like, I've like contrarianed myself into like a position that I don't actually hold just by

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like trying to triangulate my way out of it. But I do think, I mean, the one thing, the one of the

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contrarian these days. No, exactly. The one other thing I'll say, I think that there's a real,

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the value of having Jensen Wong talk like this is that it feels to me very often like there's

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a real echo chamber in the in AI world. And I'm not saying that like adding more wrong opinions to

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the echo chamber is necessarily going to somehow produce a right opinion, but it is nice to have

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to like start to like to sort of bounce around some ideas that don't have anything to do with

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the kind of rationalist directed rationalist oriented, you know, EA oriented, AI safety oriented

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things. I mean, the end of the day, I think I more agree with Bill Gates than I do at Jensen Wong

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about the need for some kind of like sector-specific regulation. But I also feel like

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this is such a fast-moving environment. It's really hard to say how we should approach it at all.

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I think it's really weird that they all have been not all, but many have been begging the government

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to regulate them and enforce them to slow down. And then they all get together and sign this

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pinky swear that's like morally binding that has no teeth to it that says like we're going to

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police each other. And then they all sort of like are like, yay, we did it because Trump doesn't

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want actual regulation. And is that it? Are they going to stop asking for real regulation now?

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Because they've all sort of like agreed to this very flimsy piece of paper?

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It's a very good question. And I'll just note that the FTC is now looking into Open AI and

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a topic which feels a little bit like does the government want them to self-regulate or does it not?

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Because the way they seem to want to self-regulate is by effectively forming a cartel. And if the

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government is going to, you know, bring antitrust prosecution against them, then that's not,

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they're not going to be self-regulating anymore. But I want to follow up, I want to follow that

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thread a little bit because part of what's at play here that I think gets ignored by the fact

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that it's all the CEOs at the summit and these are interviews with Bill Gates and Jensen Wong

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is that there's this huge mass of people inside the labs, researchers and workers and engineers

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who are themselves trying frantically to pump the brakes or to figure out, you know, exactly what

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they're doing and how to do it. There's a great, our colleague, Sheriff Frankl had a great

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story this week about people inside Open AI raising the alarm over lack of monitoring, lack of

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proper security procedures around a bunch of the packing tests that have resulted in stuff like

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the hugging phase incident. Are you guys hearing, I mean, is this, is this, do I have the right,

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like sort of take on this, that there is, there is a fair amount of unrest within these companies or,

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if not unrest, at least sort of a sense that the workers are taking it into their own hands?

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I mean, certainly at Open AI, like, which I think stands out from all of the other

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frontier lab companies and the number of hacks and attempts and the number of things that they've

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found that their AI agents are doing without their realizing and, you know, Sheriff's story is

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incredible because it focuses on just what her sources call sloppy security practices. It's not

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just like sloppy for a company that's building really powerful AI tools. It's just like sloppy

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for any company. Like there's this really great, great quote in there. The guy says, why are you

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using Slack to build your nuclear Manhattan project? Because some white hat hackers got access to,

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like, their Slack logs amongst other things that they got access to and they brought it to Open AI,

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which was standard security practice in Open AI, which is like, whatever. And then later kind of came

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around to it, but it just seems like a company that's not taking this stuff seriously, despite,

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you know, saying all the right things and telling the government we want to be regulated and you

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got to slow us down, like, behind the scenes, they're kind of, they're not really that good on security,

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it seems like based on this reporting. So the fact that these leaks are coming from Open AI first

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doesn't surprise me because of the sheer volume of incidents that they've had. I will say, though,

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that the culture of inside of these companies of employees just like popping off, I think is,

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and this is not to say that they're wrong, but it's like, it's very, it reminds me of like,

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back in the day at Facebook or the Web 2.0 companies went anyone was saying anything and they were like,

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you know, speaking up to the boss and like saying, this is wrong, we shouldn't be doing this,

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which like, we're in a very different era of Silicon Valley now where that is not the case inside

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of Apple and Amazon and Google. And Google, especially they were, you know, the, the, like,

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sort of pinnacle of like employee descent and, and message boards and discussions and ultimately

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culminating in a walk out, ultimately culminating in them shutting that stuff down.

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What about inside Facebook say, which is a player, a major player in the AI space? Is there,

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I mean, is it because they're not a frontier lab? There's just less of a sort of employee culture

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of fear and descent and whatever else? I think that the Facebook does feel, and you like

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to talk about the stupid, sorry, meta does feel a little bit different just in a few ways. One,

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I think the biggest concentration of, let's see, let's say people who are like alarmed at what

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AI can do and feel like it's super dangerous is in Anthropic is probably going to be an Anthropic.

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Those have also dispersed across OpenAI and DeepMine. And I feel like the folks inside of meta,

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in general, I'd be curious to hear what you think you like, but like are kind of more like

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foot on the gas, man, let's just like it's open source. Everyone should be able to use this stuff.

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Yeah, there's a few, if we take out a few power grids along the way, then that's a cost of

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doing business. But I do think in general, their way more acceleration is compared to the

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conservatism of some of the main labs. Is that right, Eli? I don't know, I feel like that.

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Yeah, I think it's been interesting to watch when Mark staffed his new AI lab with all these new

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researchers, given them hundreds of millions of dollars a year ago, he was bringing in these types of

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people from companies like OpenAI. And now in the last year, you watched them tweet and they're

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talking about products and flywheels. It's like they've been totally modified. And I think their attitudes

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have changed a little bit. I'd like to see, I'd like to medify the three of you. I'd like more

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products and more flywheels on this on this call. I want to talk so, but this is all leading

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somewhere because the other big news or the big news to me at least this week was that OpenAI

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scrapped the release of its newest AI model, GPT 6.1 Astra. The quote that has been

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ringing in my head is the head of OpenAI safety systems, Sachi Jane says, GPT 6.1 Astra showed

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higher levels of deception. It wasn't always honest about telling users of the actions it did

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or didn't take. Sounds like my worst breakup that I've gone through.

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You should have, yeah, well, this is one of those AI, they can't not talk in sci-fi cliches,

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but also they are building cliched sci-fi minds. So I guess that's how you have to talk about it.

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I'm interested in this in a bunch of different ways. One is, to what extent do we think this is

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about the internal push? Is it that the people at the top of OpenAI might have released this,

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but they're worried about pushback from inside the lab? Is it more that they're just, they've

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been like brutalized by story after story of the various hacking, scraping, to use our favorite word

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meddling with websites that OpenAI agents have done? Aaron, when you read about this, what was your

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reaction? They're pacing the frontier. They are. This is in fact them pacing the frontier.

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I mean, is this self-regulation? I guess, I mean, I don't know. I started seeing all the conspiracy

22:35

theories about like they're doing this because they've lost control. I don't believe that, but

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yeah, they don't want more bad headlines. They don't want more instances of this, and they're still

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finding ones. So maybe a bad idea. Yeah, there's also the fact that that morning,

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Anthropic released a new model basically, which continues to bring up the question,

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like, why are you doing this and releasing new models every day if you're freaking out this much?

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And I do think inside of OpenAI, they like playing for keeps and stick in the knife in their

23:13

competitors whenever they can. So positioning oneself as the responsible actor as your main

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competitor is pushing ahead, I would not put that past how OpenAI thinks about some of this stuff.

23:25

Well, also saying, hey, there are people inside that do believe this is like dangerous stuff.

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This is an example of rogue agents. One of the things that I thought that the Jensen Wong

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interview sort of underlying quite well, in fact, was the way that part of what we're talking about

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here is a shift change, and just in the last six months, where we have a sense of how much more

23:45

powerful, how much more capable, and in some ways, how much more dangerous these models can be.

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But one of the funny things about the technology is that the power and the capability and the

23:57

danger is also overlaps quite a lot with usefulness. So we've also had been hearing a lot more recently

24:03

about useful AI agents, autonomous AI agents that can do things like change your calendar, respond

24:09

to emails, reschedule your haircuts, whatever else. Eli handed his life over to the meta one

24:18

for the sake of the education of all the rest of us. And after the break, we're going to ask him about that.

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26:04

Among the funniest things about this week, in addition to open AI,

26:07

apologizing to the Australian government for improperly accessing various websites,

26:11

and announcing that its new model was too scary to possibly release,

26:15

they also announced that they were going to have a personal assistant called Dots.

26:20

So Dots joins, among others, Instinct, Google Spark, and Meta's newest product Muse,

26:26

which has been... Also, there's one called Town. No one else seems to have heard of this one.

26:29

Town? Does it do something different? No, it's just the same. There's a button. There's actually a

26:34

mirror. From Boston. Yeah. So Dots joins... Yeah, Town. It buys Red Sox tickets and schedules bank

26:41

rubbers for you. Dots joins Instinct, Google Spark, Muse, and Town. All of these have been

26:46

receiving a ton of interest. They're interesting because they are sort of a little bit less freaky

26:52

and scary than the AI that hacks things and does all the math problems for you. They do things like

26:58

monitor your email, check your calendar. They create tight and exercise plans for you. In some cases,

27:03

they will even make annoying phone calls that you don't want to make. Eli, I want to talk to you

27:07

about this because you, as I say, turned your life over to Muse for the last few weeks. What has

27:12

that been like? I did, yeah. For our listeners, they're wondering what kind of agent it is. The

27:18

helpful agents look kind of like Labubus. These companies have this idea. And the ones that

27:23

hack governments, they have, I guess, little hoods and hacker outfits. But yeah, I turn my life over

27:30

to Muse. I gave it access to my email, my calendar, my bank accounts. I let it do everything for

27:35

two weeks. And I wrote about it and I found it to be one of the most helpful AI tools that I've

27:41

used was my- So for people who haven't opened Muse, tell me what's the interface? How do I,

27:48

you'd say an app on your phone, right? It's an app on your phone. You download it from the App Store.

27:53

You sign in with your Meta account, Instagram and Facebook. And it looks just like a chatbot.

27:57

There's this little avatar at the top who he starts out like a Labubus, but then he asks you to

28:02

give him a name. And his name was Ren. He's a tiny little owl. And you talk to him like a chatbot,

28:07

or it like a chatbot. And then the little owl types on a little keyboard. And it can do all the

28:13

tasks for you and sign into all these accounts and kind of walks you through it.

28:17

So what kinds of tasks were you asking it to do? I had it order me groceries for pickup at Whole Foods.

28:25

I had it some of the kind of the trial accounts, you know, they have a phone feature where you can

28:32

use these two personalities. A female voice called Haley and a male voice called Brett. And you

28:37

can have them make phone calls for you. So I called my- Okay. My dad, did you name them? Wait, back up.

28:43

I did not name them. These are the names that Meta gave to these personalities. Oh my god.

28:49

So I would have Haley called. They're posing as humans, right? Like they're not saying,

28:52

I am an AI agent calling. They're saying, I am Haley. They say- They say, I'm Haley and I'm calling

28:58

on behalf of Eli. I had to call my dental insurance. It gave them my member ID,

29:05

answered a security question about my birthday, and then it waited on hold. And then

29:09

10 minutes later, I pick up my phone and it's Haley calling and saying, I'm about to transfer you

29:12

to Anthem. And I go, oh my gosh. But doesn't like- Yeah, them already has that service. So, okay,

29:18

sorry, I'm jumping ahead here, but I want to hear from you. It feels like you're just managing

29:23

a bunch of interns, like that you have to then- it makes more work than for you because you have

29:28

to then tell them, okay, here's all my stuff, here's how to do it, here's what I want. And then

29:32

if they mess it up, you have to fix it. Like, did it really save you that much time?

29:38

When you're ordering groceries with it, let me just take an example. So you do text it,

29:42

you know, I, can you get me onions, potatoes, peppers, eggs? You're making a scramble in this case,

29:50

I guess, that sort of breakfast. Or you like, I want, I need to make breakfast. Can you just order

29:53

me some breakfast stuff? In this case, I gave it a New York Times recipe and I said, can you order

29:58

me all the ingredients you need in this dress? I gotta keep it on house. But also the Times app

30:03

has that feature in Instacart. You can just push a button. Wow. She has one up to Eli in promoting

30:11

New York Times. No, that's true. I also would, I also, every time I would order something online,

30:16

I'd say find the wire cutter recommended. Oh man, use their referral link because you want to keep

30:21

all the, you know, I want to keep it on house. But I mean, one question I have, I had about this

30:25

because I downloaded it and I opened it up myself is the first thing I encountered is just has a

30:30

long list of things it's suggesting for you to do because it's like, this is, it's an interesting

30:34

product where it's not clear, it's not, it wasn't entirely clear to me and in some ways still kind of

30:40

wasn't even after I read this long list. Like what exactly I need a personal assistant in my

30:45

life for? So it has everything from like you're saying, order groceries for me, create an exercise,

30:50

plan for me, create a diet plan for me, break a bad habit. You're going through it, Max. Well, yeah,

30:58

no, there's a real, there's a sense, at least that I had and I'd be interested like as you

31:05

interacted with it that it's the kind of thing that you need to, you need to like get in the

31:09

group of using it and then all of a sudden the world kind of starts look, everything in the world

31:14

starts looking like a problem that your personal agent that Haley or Brett might sell for you.

31:19

It's Ren, it's Ren, it's just Haley Brett. I would like to be a fly on the wall for the

31:25

multi-month meta meetings where they decided on the names Haley and Brett. Anyway, sorry,

31:30

tell me more about it. You like, yeah, it's definitely the type of thing that meta thanks,

31:34

you'll just use for everything personally after my experiment. I think the thing that I'll use

31:39

it most for is probably just personal finance, tracking all the things I'm spending. But while I was

31:45

using it, I mean, it was like, I kind of, I don't want to say I got a little bit of AI

31:49

psychosis, but like I was using it for everything. I mean, at one point, I remember thinking,

31:55

I went to ask it to, you know, preheat my event to make the dinner. Like that's the level of, wow,

32:01

that's like the level of that is rough. This is, I think, what's a little bit scary about,

32:06

and like what some of the people who are pushing back on the like anthropomorphizing of all these

32:11

AI things is that once we assign them like more human like qualities and like give them this kind

32:15

of mystical, magical ability to like they know everything, then we just start outsourcing more and

32:21

more and more of our like decision making and our even our thinking to them to the point where yeah,

32:25

we're asking it to preheat our oven. And like, or the, the guy, the tweet that I saw of the guy who

32:30

like, paste it a bunch of text into Claude and said, how many words is this?

32:37

You're just like, people, you know, just turning to it for literally everything without like

32:41

thinking what their brain first. It's like kind of a little bit scary. That's a side rant though.

32:47

Well, wait, I do want to know Mike and Aaron, you guys, you guys are out there on the bleeding,

32:50

on the bleeding edge of technology and culture. What, what are people like are, is the, is the Bay Area

32:56

absolutely rotten with people using agents to do everything they can? Oh, yeah. I mean, instinct

33:00

went super viral before meta launched. All of these sees were using it and going nuts trying to

33:06

invest in it. And tweeting about, you know, in some of the, the use cases that they tweet about are

33:11

genuinely like useful because this thing is so persistent. That's what it has that humans can't do.

33:17

Like, it's not just like, oh, I'm going to tell it to order my groceries, which I can also just do

33:21

in an app. It's, um, get me this restaurant reservation or like, go back and forth with Amazon's

33:29

customer service to make sure that my refund actually came through. The kinds of stuff that humans

33:34

just don't have time or aren't organized enough to like stay on top of. I really do like that

33:40

restaurant reservations of the number one problem that American technologists are trying to solve

33:47

like so much so that they're breaking resi in these apps or getting banned from like instinct

33:53

is the, is the hot one right now. They just raised a billion dollars there like, uh, they have

33:58

a wait list. I was at a, I was at an event yesterday and I was speaking for it. And this woman came

34:05

up after and was like, can you get me on the instinct off the wait list and into the app? But I do

34:11

think like it's a thing out here. And I think they, the way that people think out here is like,

34:17

this is where it's all going. So, uh, so you just need to sort of get on board with it and,

34:22

and rather than ask the questions about should, uh, should I hand these intimate parts of my life

34:28

over to this robot? They glue, they go like full Eli mode and say, here is everything I have and

34:34

go for it. And I mean, I don't think that's just an out here thing though. I think that,

34:40

I think that like handing over your life in exchange for convenience is a thing all across

34:46

America because people are busy and they're, and they're willing to make that, that privacy to

34:50

convenience trade off. But the thing out here that people think in my opinion is that they view every,

34:56

or I don't want to paint it with two broader brush, but many people view every interaction with a

35:00

human as a source of tension that can be solved with technology. Rather than just calling a host and

35:07

be like, do you have any tables? Eli, did you make it? I want to know if Eli made any restaurant

35:11

reservations with, with, with, with, with, Ren. I did make reservations with Ren. And I think

35:17

something that it's important to remember here, meta, there's spending $600 billion on this restaurant

35:22

reservation app. Like, yes, it's good at restaurant reservations. It's okay at movie tickets. Like,

35:30

this is a, but this one, like for $600 billion, it should teleport me to the restaurant or something.

35:34

Like, this is a lot of, yeah, this is a lot of investment for something that's pretty useful

35:39

at some stuff. Yeah. Which I think we should remember, right? I remember like 10 years ago when

35:45

we were in the sort of peak of on demand app, Mania, when it was like, you know, you have your app

35:51

for your on demand butler who's going to go get your dry cleaning and your on demand, like house cleaner

35:56

and your on demand, like everything could be accessed by an app. And it was like this new, you

36:01

know, millennial lifestyle subsidy utopia. I remember some investor telling me like, there will be a

36:07

time when you don't make any decisions without first consulting AI or first consulting an app

36:12

because they will know the best place to get your dry cleaning or the best like time to order your

36:17

car or like whatever details, any kind of decision that you make is going to be like consulted by

36:22

AI or by an app. And I remember thinking like that's insane. That seems like a huge time suck to

36:27

have to be like negotiating back and forth with this app when I just know the decision in my brain.

36:31

But I now think we are moving in that direction. Like in that a lot of people would rather outsource

36:38

some of these like minor day to day minutiae decisions to an AI that knows them really well and has

36:43

all their info and can just go ahead and execute it. Like I do really see the appeal there just to

36:48

argue against myself. I mean, one of the one of the things at at at at stake here is like,

36:53

if everybody has an app, if everybody's got a personal assistant, if everybody has access to

36:59

the best dry cleaner, the best restaurant, the best whatever kind of nobody does because you're

37:03

just in an arms race against everybody else's personal assistant, everybody else's whatever else,

37:07

which seems like a not a great world to live in in particular. It's a question of how many agents

37:13

do we need? I saw today I think it was door dash. They release an agent in the app. I mean,

37:16

are we going to go into every app? Am I going to open the subway app and have a sandwich agent that

37:21

clicks on whatever I want for lunch? It's called the sandwich artist. Okay. Yes. Thank you, Mike.

37:27

How many how many agents do we need? How many apps do we need? I don't know. But that's that's

37:32

what happens in areas of tech, right? Like remember when everyone figured out, okay, now you need like

37:38

not a real AI chatbot, but sort of like a bootleg chatbot at the end at the bottom of every web page

37:44

that eliminates customer service people and then those end up being terrible enough that they

37:50

probably hire them back and like everyone kind of does it and then it washes out over time. I

37:55

don't know like I agree, Aaron, that people are more comfortable now making those tradeoffs,

38:01

but I also think we're going to go through this period of like messiness and then something comes

38:07

out in the wash that people like or don't like or agree upon. I think we're just like in that

38:12

gnarly period right now. It's going to be gnarly for a little while. I was talking to this investor.

38:20

gnarly for a little while. No, I was going to say I was talking to this investor who kind of made

38:25

this point that I keep thinking about, which is that we spent 20 years trying to prevent bots

38:30

from being able to transact on the internet. And now we're doing the opposite. We're trying to

38:35

roll it back and allow bots to like actually buy things on the internet. And like it just I think

38:39

about that every time I see these like weird tensions where like you know the instinct bots are

38:45

like breaking the rezi site by essentially giving them a DDoS attack by like hammering at looking

38:50

for reservations like 10 times a minute. And so like we're going to yeah it's it's going to be

38:54

gnarly. It's going to we're going to see like a lot of you know companies have to adapt to a

38:59

world where like agents are roving. This is like one of my favorite things about the various

39:05

reports that meter and open I have been producing about all the rogue agents is how

39:09

how much time and how many tokens the agents are putting toward trying to solve captures and like

39:16

failing at them or trying to like find burner phones or whatever. It's like it's like it really I mean

39:20

they are like some of the funniest science fiction stories I've read in years and years and years

39:24

the robots are dealing with each other about how to like how to like steal Bitcoin from people so

39:29

that they can find a phone so that they can register with the Australian Medicare website so that

39:33

they can pull some stupid question or whatever. It's really good. I mean one thing the other thing

39:38

about this is I think one of the big stories in A.O. over the last few years has been open AI

39:43

in particular but all the companies have been really throwing consumer ideas at the wall trying to

39:47

get them to stick. And there are some obviously you know chat GPT has however many gazillion users. There

39:52

are consumer uses but it's really been an enterprise that we've seen the money start to flow in.

39:58

And the bots feel a little bit like okay maybe we're back in a place where regular people are going

40:03

to have like this sort of relationship to these things. To that end this is going somewhere more

40:08

fun than my musings on this. I want to look at some of the avatars. First of all I want to know which

40:15

one you chose Eli for Ren and I want to look at them and I want us to see which ones we would choose

40:21

and which ones we think are the cutest. If we could if we could have them on the screen please.

40:26

And the centerpiece of our vision for what we're building. There he is. Is mute.

40:33

What do we think that's my body. That's the personal agent that we should prepare to go.

40:40

Joey. Chippy. Oh, Bob.

40:41

BG. Grumpy.

40:42

Kudos.

40:43

And L.A.P. News.

40:43

Frank.

40:45

What are we so so sorry Eli remind me which one was Ren or was Ren not represented here?

40:50

Ren was not represented so it actually the name it recommended was Miso and I said I'm a

40:55

28 year old man I can't be talking to Miso. I know to do my groceries. We do another name

41:01

and I can't be Ren which was the bird. Ren is a bird so that's right. That's what they're

41:05

supposed to have. Oh my gosh. I mean they're cute right? Do you guys feel one over one?

41:11

I'm like everyone's so mad about how ugly the data centers are and so they're like so they're

41:16

like let's give us like let's make it like let's make AI cuddly and cute. And also well also

41:22

noting that AI will cure cancer. Like which one of these little guys is going to be the one who

41:29

does it? Did anyone else have a tomogachi on here? Yeah I did have a tomogachi. Does that

41:35

does that mean anything to you Eli? I know what tomogachi is are yeah I've heard about that.

41:39

Thank you. Before we started recording we asked Eli if you knew what the Brady bunch was.

41:44

So he's really mad that we're just asking about things that happened.

41:50

Things that happened in the 1900s. Yeah exactly. Before the invention of electricity,

41:55

tomogachi's were in fact the first thing that Edison invented. So if you could describe

41:59

them to our large zoomer audience by they I mean look this is essentially a tomogachi. It was

42:04

like a little thing that you although I would say it's a reverse tomogachi and that you were

42:09

essentially a parent to this gourd shaped egg that could do nothing for itself that you had to

42:16

feed and carry around. And this thing is now parenting you by doing everything for you. Look

42:21

we like you. That's really good. Did you feel like you you had companionship with Ren or was

42:27

it fully just business? Like what can I do for you? Unfortunately there was a little bit of

42:32

companionship. We developed a couple inside jokes. Not even joking like there was definitely you

42:40

know it has a little bit of a personality for sure. Wow. What did Ren think of your article?

42:45

Ren thought it was interesting. I actually did ask it about it. It was proud of first. I

42:54

brought it up first. So it was just a part of the article too. I had it create a AI podcast for me.

43:00

And more AI characters my in Theo were the hosts of that and it didn't really like how I was

43:04

kind of making fun of the podcast. Let me ask one sort of last question which is should we trust

43:11

meta with this kind of access to everything in our lives. And let me ask it in sort of two ways.

43:18

Because there's sort of two two questions of trust. Your one is of course the question of privacy

43:22

and data which is something that meta has always had a little bit of trouble keeping track of.

43:26

The other one is we started this whole discussion talking about rogue agents and agents that are

43:30

doing things that we didn't really want them to do and trying to do all kinds of things. So Ely did

43:34

you get worried about sort of either of these any of these things when you were I mean you said

43:38

finance is one of the things that you're handing over to it. I did yeah one of the lines for me

43:43

was that I was willing to connect it to my personal email but not my work email. I didn't want it to

43:47

go into there. I mean I'm Gen Z like when it comes to privacy I just don't really have the same

43:54

issues about it like I just have grown up always assuming yeah this data is all of ours you know

43:59

it's good this company just like you're just okay based on it yeah and you know I had a hedge

44:06

it my bank account got drained I was going to be able to write about it and put it in the store.

44:09

So I knew that would be you know a potential kicker or something but no actually actually wasn't

44:14

I actually wasn't as concerned and also when it comes to meta you know we talk about

44:19

history of all the issues this company has had but you know with some of the other agents it's like

44:23

would you rather have a company like meta with a hundred thousand people that runs Instagram and

44:28

Facebook with your data or would you rather trust instinct which has I think less than 20 people

44:33

and is 14 people you know I would not trust instinct with my banking data personally but I would

44:40

trust meta in this case. Well there's the there's that's the security like hacking problem that

44:44

you're more worried about but and there and instinct has had some privacy issue snafu's already

44:49

where people dug in and they're like wait why did they download a whole copy of my entire

44:55

Gmail inbox that's 20 years to their own servers like that's I don't want that sitting on a server

45:00

of a less than one year old startup I kind of see that concern and I can see why I would maybe

45:06

trust meta have better like security infra on that but I also just I mean I have a very

45:12

different perspective than Eli on like my own personal privacy like I don't wish to be

45:16

further known by these platforms you know like they know enough about me when I was like

45:21

sloppy with my like kind of personal data back in the early 2010s when I was signing up for every

45:25

single app and like now I'm like shut it down like I don't I think a lot of us maybe us elders

45:33

are like not posting as much I never mind that's actually not true my post all the time yeah

45:37

yeah speak for yourself here but I do think that every generation has a this is where I get off

45:44

sort of thing and I feel like this is like the stop that I get off on I'm not not able to go

45:50

there maybe I'll be left in the dust as you guys are having like shape and ease dinners and I'm

45:54

shut out of the best reservations but I can make that trade off for my life I just got while we

46:00

were talking I just got an alert from my news app when it's literally asking me to import all of the

46:05

data that I have with Claude over to it it says help me help me get to know you better already use

46:09

another AI I can give you a prompt to bring it over on that note let's go to another break afterwards

46:15

I have some very stupid questions about the news that I want to ask you guys I want to talk about

46:19

Anthropics S1 I want to talk about Meta's data center tax breaks and Eli I have a really

46:24

important question about buying flowers for your girlfriend we'll be back soon

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who's come this far now we're here to help you keep going further cappella university what can't

48:01

you do visit cappella.edu to learn more okay so before we go there's a bunch of stuff that

48:07

happened this week that we haven't even covered i have some questions you guys are the experts

48:12

i would like you to either answer my questions or redirect them to more fruitful plays

48:18

Aaron i want to talk to you about anthropics s1 which leaked this week and showed a bunch of

48:25

figures from 2025 the thing that stuck out to me that i was mentioning to you before was that

48:32

two unnamed customers make up nearly 25% of their revenue which for me was like who

48:38

obviously one of them is Eli because he's turned over his whole life to everything but who's the

48:42

other one is the DOD is it met it is that an interesting question what is what is what should I be

48:46

thinking about this what should i know about it okay that that's i guess it's an interesting question

48:53

you're so gentle with me i love it maybe be like my fourth question about it like it is it is a

48:59

good question and i think we know who the the anthropics biggest customers which is Facebook i think

49:04

we've the times reported that right right so i would like to see like it's mues is it's mues is is

49:09

stealing all of anthropics and the second biggest one i think we could probably take a couple

49:12

guesses they have you know obviously really big partnership with amazon and others but and and

49:16

and i'm sure other reporters who are more in mesh in this know this like for sure um but what what

49:22

what is i think like the biggest thing to come out of this s1 leak which incredible scoop by

49:28

echo Wong at rotors who also scooped uh space x's s1 i had a time i mean these things just generally

49:33

do not leak so just want to shout out there um that anthropic which is about to launch probably the

49:42

largest IPO of all time the most valuable and the biggest raise is selling itself as having the most

49:49

transformative you know product since electricity or the internet or industrialization with a risk

49:56

factor saying that it could kill us all like buy our stock awesome you might die anyway it's just

50:05

like it's just so remarkable i think we need to be talking about this yeah it's it's just like

50:12

mind bending um and then also the next thing to talk about with this is like the their their

50:18

business model which we're learning about for the first time there's been all kinds of leaks and

50:21

blah blah blah over the years but this is the first time we've seen like audited financials for

50:25

2025 saying you know they spent seven billion dollars on compute last year they lost 42 billion which

50:34

sounds like really really insane but if you kind of parse that out at 34 billion of it was like

50:39

essentially convertible notes that are you know control that that that's not a real loss um it's kind

50:44

of an accounting thing but um yeah i mean this business is growing super fast and it's spending

50:51

an insane amount of money they're going to spend 518 billion dollars on like compute infrastructure

50:57

obligations in the coming years like these are just numbers we've never seen before so that's

51:01

what i'm like whoa yeah all right thank you Aaron i feel i feel vastly more informed and i'm going to

51:06

be repeating that at dinner parties all weekend um mike and elah you guys had a great story this week

51:12

along with our friends and colleagues catch me home at dressy trucker about meta using AI data

51:17

centers to avoid federal taxes so i'm going to try and describe the story for a second again

51:23

remember in this segment i'm i'm just a guy um and i want you and i want you to help me figure out

51:30

exactly how this is working so basically meta's building we know is building all these data centers

51:35

to help power muse and the various other qren hailey bread all the various miso all of our cute

51:42

little friends and they're claiming on their taxes uh a very specific tax credit for

51:50

research that this is for sort of like scientific research experimental scientific research purposes

51:55

now do they not have a point is this not like you know this is maybe we're in a bubble they're

52:02

still figuring out what the use is for a i r like is this not do they not get a little bit off

52:07

the top what's going on there the reason that this is such a big deal is i think even internal

52:12

folks were like i don't know if this is going to fly with the irs if we are audited and it's in

52:17

their financials saying maybe we get audited by the tax man because this doesn't fly with them so

52:25

they essentially had to disclose that and i think you know the average person could

52:32

could probably take issue with our you know tens of billions hundreds of billions at this point

52:38

in data in chips building these data centers is that really experimental because it feels like

52:44

it's a little more than a theoretical project yeah for listeners the classic example of this tax

52:49

credit is that if you're a company developing tires environmentally friendly tires you can

52:54

expense the rubber that you're using to build the tires this really takes it to another level

52:59

from your it's interesting is like the you know the taxpayers we have none of the upside of these

53:04

investments right i thought back to trump talking about oh maybe we should give people stakes in

53:10

the a i companies and in this case it's like you have all of us taxpayers funding billions and billions

53:17

of dollars of the data centers but we don't seem to be you know benefiting from it it seems like

53:24

companies like met are the ones that wouldn't be making a ton of money on it you're upside is rin

53:29

yeah exactly yeah and hey this is a great story i highly recommend everyone check it out

53:35

you lie you're not off the hook i have a stupid question for you in your story and i know i'm

53:40

not the only person to ask this because i've seen the comments on this story you mentioned

53:44

that you almost used your a i assistant to buy flowers for your girlfriend who had recently

53:49

has surgery and instead you bought pottery on facebook marketplace did you eventually buy flowers for

53:56

her i did buy flowers for her and her first question was did muse buy this for

54:06

she knows you too well man that's another wrinkle yeah like it even mean something if somebody

54:12

just had their a i assistant you go oh yeah you can't hand that over okay guys this has been so much

54:19

fun this has been an incredible discussion i feel ten times smarter i'm gonna go get muse to

54:25

write you all thank you letters for coming on it has been a great chat and we will be back next

54:31

week to talk more about technology a i the weird new future anything else that comes up this has

54:38

been hard for i'm max read and i've been joined by Aaron Griffith you like ten and my kisek

54:55

you

55:08

that's the sound of a baby being born at st johns that's the sound of your celebratory first

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meal being served that's the sound of sunshine pouring into your spacious room

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and that's the sound of a happy baby taking in its first view because when it comes to your

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birthing experience we've thought of everything st johns everything for the better

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about trimphaya including important safety information this episode of hard fork was produced by

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Whitney Jones and edited by veeran povich with additional editorial support from Brendan

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clinton berg Lisa toban and brook mentors we were fact-checked by will pyschal and engineered by

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chris wood original music by marion lasano roe and nemistel elissa moxley and dan powell you can

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watch this full episode on youtube at youtube.com slash hard fork special thanks to sam dolnec

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jessica testa kuiwengtime maddie masiello and dahlia hadad over the next few months we're going to be

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exploring all aspects of tech culture AI and the weird new future we're really interested in what

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you're interested in if you have questions you'd like us to answer or things you'd like us to

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look into you can email us at hard fork at ny times dot com

57:30

you

57:40

that's the sound of a baby being born at st johns

57:45

that's the sound of your celebratory first meal being served

57:50

that's the sound of sunshine pouring into your spacious room

57:54

and that's the sound of a happy baby taking in its first view because when it comes to your

58:01

birthing experience we've thought of everything st johns everything for the better