Big Tech to Pay for Power, Anthropic Abandons Safety, the Adoption Paradox | Diet TBPN

26 Feb 2026 · 31 min · 18 chapters

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TBPN Podcast Episode Summary: Big Tech to Pay for Power, Anthropic Abandons Safety, the Adoption Paradox

Episode Overview Podcast Title: TBPN Episode Title: Big Tech to Pay for Power, Anthropic Abandons Safety, the Adoption Paradox Hosts: John Coogan and Jordi Hays Air Time: Weekdays, 11 AM - 2 PM PST Summary: The Diet TBPN episode condenses key points from the live show, discussing AI adoption statistics, Big Tech’s responsibility for energy consumption, and the safety commitments of AI firms.

Key Topics Discussed

AI Adoption Statistics

  • Controversial Statistic: A report from the National Bureau of Economic Research states that 80% of firms reported little to no impact of AI on productivity or employment.
  • Hosts caution against dismissing this statistic, emphasizing its origin from a credible source.
  • Survey Methodology:
  • The study utilized a more rigorous methodology than many online surveys, including ID verification of business leaders.
  • Sample involved 6,000 leaders from firms in the US, UK, Germany, and Australia.

Mixed Signals in AI Usage

  • High Usage Rates: Approximately 70% of firms reported active use of AI, but many executives only dedicate around 1.5 hours per week to it.
  • Future Projections: Despite current sentiments, firms predict a significant impact of AI on productivity in the next three years, with expectations of a 1.4% increase.

Disconnect in Perceptions

  • CFO and CEO Disconnect: Many leaders may not recognize the AI tools embedded in their existing systems, leading to their claims of minimal impact.
  • Self-reinforcing Beliefs: The perception of low adoption rates may inhibit firms from exploring AI further.

Big Tech’s Energy Consumption

  • Government Response: Discussion on a new "Rate Payer Protection Pledge" where tech companies would be obligated to provide for their own power needs.
  • This aims to prevent increased energy costs for consumers due to the power demands of AI data centers.
  • Public Concerns: Hosts rank fears about rising energy bills as a primary concern among the public.

Anthropic's Shift in Safety Policies

  • Policy Change: Anthropic is scaling back its commitment to AI safety to remain competitive.
  • Previously, the company halted development on models seen as dangerous but will now continue if competitors release superior models.
  • Criticism of Shift: This decision is viewed as a departure from their founding principles of safety, raising concerns about their integrity in the AI space.

Broader Implications

  • Market Concentration: The funding landscape is heavily concentrated among a few large companies, significantly impacting the venture capital ecosystem.
  • Public Sentiment: The hosts discuss how perceptions of AI’s impact vary widely, with many business leaders not adopting the more extreme views expressed in Silicon Valley.

Key Insights

  • AI Adoption vs. Reality: There is a significant gap between how AI is perceived and its actual integration into business processes.
  • Safety vs. Competition: As competition heats up among AI developers, companies may sacrifice safety for performance and market relevance.
  • Future Outlook: Despite current hesitations regarding AI's impact, there is a strong belief that its potential will be realized in the coming years.

Conclusion This episode of TBPN underscores the complexities surrounding AI adoption, the responsibilities of giant tech companies regarding energy consumption, and the evolving stance of AI firms like Anthropic towards safety. With varying perceptions between industry leaders and the public, the discussion highlights the need for deeper understanding and communication about AI's implications in the business landscape.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

AI Adoption Insights from Fed Research

0:46 to 3:00

Discussion of a Fed study indicating many firms find AI ineffective.

“This is a research paper that could be circulated, probably will be circulated within the Fed.”

Understanding AI Usage Among Businesses

3:01 to 5:15

Exploration of actual AI usage and perceptions among business leaders.

“Yeah, the Mac Mini wasn't even plugged in.”

Challenges in Measuring AI Adoption

5:16 to 7:30

Examination of difficulties in quantifying AI adoption and effectiveness.

“You could be talking to a customer support agent on the phone that is AI generated and not be able to tell.”

Concerns About AI and Energy Consumption

7:31 to 10:00

Discussion on the implications of AI's energy demands and public fears.

“So flip that around, 59 % of firms aren't even using LLMs for text generation or proofreading.”

Public Reactions to Data Centers

10:01 to 12:30

Analysis of community fears related to AI data centers and their impacts.

“And so there was the story about neighbor polling, which was more effective, where instead of calling someone and asking them, who are you voting for?”

Debating AI's Role in Job Markets

12:31 to 14:01

Discussion on the narrative surrounding AI and job losses in the economy.

“And then there's the existential fear of doom and apocalypse.”

Power Plants and Community Protests

14:01 to 14:25

Learn about the community's demands and protests regarding local energy infrastructure.

“If you look at protests and stuff, they're not saying, please build a power plant first.”

NVIDIA Earnings and Market Reactions

14:25 to 14:39

Discussion about NVIDIA's earnings report and its impact on the market.

“I think it's much more on, like, basically job loss of, like, oh, the AI is stealing IP of Disney or whatever.”

Fastest Electric Car Drift Record

14:39 to 15:44

Exploring the controversy surrounding a Guinness World Record for drifting.

“For NVIDIA earnings, it's going to be a fun one today.”

Funding Concentration in AI Labs

15:44 to 16:58

The unprecedented concentration of funding in AI labs and its implications.

“Yeah, the top comments is fastest spin out.”
Show all 18 chapters

Impacts of IPOs on Market Liquidity

16:58 to 18:16

Understanding how upcoming IPOs will affect market liquidity and valuation.

“They are part of, I would say, driving this data.”

Anthropic's Shift in AI Safety Policies

18:16 to 21:54

Discussion on Anthropic's pivot away from safety commitments due to competition.

“I mean, you're bigger than probably 90 % of the S &P.”

Safety Regulations and AI Technology

21:54 to 24:04

Analyzing the vague definitions surrounding AI safety and regulation.

“And so switching up now that there's actually real competition.”

Jailbreaking AI and Its Implications

24:04 to 26:15

Exploring the concept of jailbreaking AI and the potential consequences.

“Yeah, I think there's there's just like so many ways that you can define safety.”

Doom and Gloom in AI Discourse

26:15 to 28:00

The trend of negative narratives dominating AI discussions and media.

“And I was just laughing because whatever you're doing after you jailbreak it is probably not good and so you should probably stop.”

The Clickbait Economy in AI Content

28:00 to 29:15

Explore how negative headlines drive views and engagement in media.

“like the again going from consumer llms to a net new product that is uh objectively uh just as competitive.”

Tether's Major Investment Announcement

29:15 to 29:53

Discussion on Tether's $200 million investment and its implications.

“Tether is committed to enabling everyone in the world to participate in the new internet economy.”

Current Events in the Tech Industry

29:53 to 30:27

Insightful commentary on ongoing news in the tech space, including acquisitions.

“Mike Isaac is saying what we're all thinking.”
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Transcript

Automatic transcript. May contain errors.

0:01John Coogan:So I was nerding out about this Fed paper because when you told John Collison 80 % of businesses are getting no value from AI, I'm glad he wasn't here in person because he was about to throw down.

0:15Jordi Hays:He was about to open up a can of whoop.

0:18John Coogan:It was about to be a bar fight in the cheeky pub. In the cheeky pub. No, seriously, it was a great question because I think we all agree that like AI adoption is real, it's valuable, it's happening. But it is a very interesting statistic. And I think it's a mistake for tech people to dismiss this stat because of where it's coming from. Like, it's not coming from some like doomer, anti-AI blogger who's going for clicks. Like this is the National Bureau for Economic Research. This is a research paper that could be circulated, probably will be circulated within the Fed. And I think that it's already getting quoted by The New York Times in that dot com bubble, AI bubble piece.

0:58John Coogan:And I'm just I'm thinking it through like this could be something where you see Fed policy or government legislation that sort of mismatched with what is actually happening in reality. And so we should go through some of the some of the stats to actually break this down, because the headline is 80 percent of firms reported that AI was having no impact on their productivity or employment. And that's actually like a misquote. Like what they mean by that is that it's not shaping their hiring plan yet. They actually are using AI. And so basically this stat comes from this survey from the National Bureau of Economic Research.

1:42John Coogan:And it's pretty interesting because a lot of the polls that you see online are online surveys. They run some digital ads and they say, are you a CFO of a company? We don't really care what company. We'll pay you$10 to take this quick survey.

1:55Jordi Hays:And what kind of people want to make$10?

1:58John Coogan:A lot of liars. There's a lot of liars out there who say, I am absolutely a CFO and please send that Amazon gift card right my way. And so for this one, they actually did the work. They called up and ID verified and then also reality check the position. So if you say, yeah, I'm the chief pirate officer, I'm the ninja hero, whatever, you got some fake title there, you're out of the survey. So they did some reality checking and they pulled together 6 ,000 of these business leaders across firms that are domiciled in the US, UK, Germany and Australia. The line from John Collison that has been sort of going viral, that was he dropped it on sources.

2:36John Coogan:I think he said it to us too. It's a good line. No one wants a refund on their tokens. Everyone is using AI. The spend is increasing.

2:44Jordi Hays:Although I'm sure some CEOs heard that and thought, I kind of do want a refund.

2:48John Coogan:I'd love a refund.

2:49Jordi Hays:I had one team member go absolutely haywire and spend 50 grand.

2:54John Coogan:He's one shot. He claims that he rebuilt our entire ERP, but I fired it up and it didn't even have HTTPS. What's going on?

3:02Jordi Hays:The Mac Mini wasn't even plugged in.

3:03John Coogan:Yeah, the Mac Mini wasn't even plugged in. He was just chatting. But clearly there is a disconnect between like the Stripe data is very real, the value creation is very real, the revenue is very real at the labs. But when just random Joe Schmo, CFO, CEOs get a call from the feds, they say, like, yeah, we're not really getting that much value out of AI. And so the questions that you need to dig into, there's actually four key findings. The one headline that the New York Times is pushing is this 80 % number, 80 % report little impact or no impact on employment and productivity. But there's actually a bunch of positive signals.

3:43John Coogan:There's a bunch of mixed signals in here. So 70 % of firms actively use AI and particularly younger, more productive firms. Second, while over two thirds of top executives regularly use AI, their average use is only 1.5 hours per week. And one quarter of executives report no AI use at all.

4:07Jordi Hays:Why would I need that? I have a telephone.

4:09John Coogan:The last major finding that we should touch on is firms predict sizable impacts over the next three years. Forecasting AI will boost productivity. Sizable impacts, productivity increase, 1.4%. Which is like, it's very sizable if you're an economic researcher, but it's not particularly sizable if you're in like the fast takeoff scenario. Measuring AI adoption is a mess. Many people use AI without even knowing that they're using AI because it's buried deeper in SaaS products that they already daily drive. I run a coffee shop and I'm using Toast for payment processing. There's probably some AI features in there already.

4:46John Coogan:And when you go to type in, okay, we're adding a new cinnamon roll to the menu, there's probably a button now that just says, do you want to just generate an image of a cinnamon roll? You could upload one still. That's probably a feature that already exists. But we could also just generate one for you. And you can probably click that. But you're not like, oh, yeah, I'm an AI power user. just because like you happen to use Toast and Toast happened to have implemented some Gen AI feature that like you haven't really dug into yet. So some AI isn't even detectable. You could be talking to a customer support agent on the phone that is AI generated and not be able to tell.

5:21John Coogan:We talked about that airline interaction that got something like 100 ,000 likes.

5:28Jordi Hays:Grace, the woman that had the interaction, came into the chat yesterday and said it was real.

5:33John Coogan:Yeah, it was real. She outmaneuvered the clanker. Yeah, but still think about like she's clearly on X in tech, like very AI aware. There are probably tons of people out there that are saying, oh yeah, my job, you know, every once in a while I have to call this service. And now the person that picks up is like responding pretty quickly. But I haven't noticed they haven't noticed that they're actually interacting with AI or using AI in some capacity.

5:57Jordi Hays:Yeah, I still think there's room for a research firm focus entirely on diffusion. So if you had a group of 10 to 20 people that were spending all their time talking to business owners and executives, operators, and getting a sense of how they're actually using this stuff, I think you could put together some really compelling reports around it that would be pretty useful to everyone from AI companies to Wall Street.

6:23John Coogan:Yeah, adoption max after cluster max and inference max. They had to rename it. Apparently, Semi-Analysis can't use max for some reason. So they do inference max is now inference x. And everyone was saying, you need to just change it to inference mock, which would have been amazing. But inference x obviously has a much more professional tone to it. What does it mean to actually adopt AI? That's very vague. This paper defines it pretty broadly. So machine learning for data processing. So that doesn't even necessarily mean LLMs. That just means ML, which has been around for a very long time. Text generation using LLMs, that's what we think of as ChatGPT.

7:04John Coogan:Visual content creation, so diffusion models. But also robotics and autonomous vehicles. And there's a category just for other. And firms can select multiple. And so if you selected yes on any of those, you go in the bucket of AI adopter. And 78 % of firms in the United States said, yes, they are using AI by this definition. And you can also dig in further. So text generation using LLMs is the single most common use case at about 41 % of firms. So flip that around, 59 % of firms aren't even using LLMs for text generation or proofreading. But again, there's a lot of companies where it's like, yeah, we don't generate a lot of text.

7:41John Coogan:Across the four countries that were surveyed, 69 % of firms totally said they currently use AI. I think Australia was behind a little bit. dragging that down. Only 75 % of firms expect to be using AI technology sometime over the next three years.

7:56Jordi Hays:Tyler's gonna have a heart attack.

7:57John Coogan:We're gonna bump that up to 75 % and this is like this is weird data and I and I you can jump in with your pushback whatever you want but my point is is not that it's not that they're right like I think that I think that they're wrong to predict this I think that the AI adoption will be very steep and very dramatic but I just think it's important to recognize that like this is a paper that people will be citing. This is a paper that will shape policy. This is a paper that reveals some misconception about the impact AI is having in firms.

8:25Jordi Hays:Yeah, I still think it's just it's so hard to like actually quantify this.

8:29John Coogan:The perception I think still does matter, because I think that there's a little bit of like potential self-referentialness here where firms see, oh, like AI adoption's low. I don't need to go and figure out how to adopt it. And so that's something that I'm also like keeping an eye on. The biggest thing was there was a massive of diversion in the expected employment impact. So basically 63 % of firms still expect no impact from AI. And that just completely goes against everything everyone's saying in Silicon Valley. So there's still a lot of optimism among managers that AI will create more opportunities and new jobs, even as some jobs become obsolete.

9:08John Coogan:My read on this data is that the tech talking point about 50 % of white collar work going away is not a broadly held belief among average business leaders. Now, they might be wrong. I do think AI progress is pacing way ahead of public expectations, and most managers are months behind when it comes to understanding frontier capabilities. The bigger takeaway for me is just that the survey may be somewhere self-reinforcing. I close by thinking about the nature of polling and how do you actually get stronger data on AI adoption. And I was thinking back to the presidential cycle. So during the presidential election, pollsters would call people sort of at random and they would ask them, who are you voting for?

9:50John Coogan:And a lot of people would say they'd lie or they wouldn't say or they wouldn't pick up the phone if they were voting for a particular candidate. And so the polling numbers did not wind up matching the final election results very closely. And so there was the story about neighbor polling, which was more effective, where instead of calling someone and asking them, who are you voting for? The pollster calls and asks, who do you think your neighbors are voting for? Who's more popular in your community? Who's more popular on your city block, on your street? And that wound up sort of removing the revealed preference, stated preference, and it wound up increasing accuracy.

10:32John Coogan:And so I'd like to see a survey of AI adoption using this technique. Anyway, we should watch a little bit of a clip from the State of the Union, because Donald Trump addressed some of the energy production question with regard to how hyperscalers will be offsetting the impacts.

10:51Jordi Hays:Many Americans are also concerned that energy demand from AI data centers could unfairly drive up their electric utility bills. Tonight, I'm pleased to announce that I have negotiated the new Rate Payer Protection Pledge. You know what that is. We're telling the major tech companies that they have the obligation to provide for their own power needs. They can build their own power plants as part of their factory so that no one's prices will go up. And in many cases, prices of electricity will go down for the community and very substantially down. This is a unique strategy never used in this country before.

11:27Jordi Hays:We have an old grid. It could never handle the kind of numbers, the amount of electricity that's needed. So I'm telling them they can build their own plant. They're going to produce their own electricity. It will ensure the company's ability to get electricity while at the same time lowering prices of electricity for you. It could be very substantial for all of you cities and towns. You're going to see some good things happen over the next number of years.

11:50John Coogan:What's your reaction to that?

11:50Jordi Hays:I think it's a good start. I don't know that it will quell any of the fears around data centers. just given that people kind of see the potential for this massive structure going up, they have so much fear about it. And again, I think it's clearly gonna be necessary to continue to build data centers in heavily populated areas, but.

12:13John Coogan:How would you rank the fears currently? Because I've put my energy bill goes up and that puts pressure on my income and ability to live my life at pretty much the top. And then the water thing felt secondary but also important. And then there's the existential fear of doom and apocalypse. There's also job displacement. And then there's also just like, I don't like the slop.

12:44Jordi Hays:I would rank it on electricity bill going up as pain today. And it's so real. And there's fear and it's easy to imagine. And then there's fear around the job loss narrative that is sort of secondary. and opposing a data center in your local area feels like a way to have some agency around that like overall kind of like job loss concern.

13:06John Coogan:Yeah, AI is gonna get blamed even if there's, even if like tariffs drive high unemployment. Like if people lose their jobs, like AI is going to be a scapegoat and it's going to be used both by executives to say -

13:21Jordi Hays:Yeah, it's the perfect scapegoat for executives and for people frustrated with the job market.

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13:27John Coogan:Yeah, yeah. It's like, oh, my business isn't doing poorly right now. I'm laying off people because I'm getting so much benefit from AI. The stock should actually go up. We're more efficient. There's gonna be a lot of that, but it does feel like it's a little bit early. Whereas there are a lot of people that just can hold up their power bill and show you year over year increases. And if that goes away and people don't feel that anymore and they don't have that evidence to share, I think that take gets debunked pretty quickly.

13:55Jordi Hays:I would say I mostly disagree with the idea that rising energy prices is the main reason to be against AI. The rational thing to do then is say, okay, before you build a data center in my community, you have to build a power plant. So then my energy prices go down. No one's doing that. If you look at protests and stuff, they're not saying, please build a power plant first. They're saying it's going to destroy the environment or the water stuff or you're going to take all the jobs because it's going to destroy them.

14:20John Coogan:We need to send you to that New Jersey, New Brunswick protest. Build the nuclear power plant first.

14:25Jordi Hays:I think it's much more on, like, basically job loss of, like, oh, the AI is stealing IP of Disney or whatever.

14:33John Coogan:Anyway, happy NVIDIA Day to all who celebrate, except the bears forget them, says Tay Kim. He's getting fired up. For NVIDIA earnings, it's going to be a fun one today.

14:43Jordi Hays:So we have... Now, the real news, this has been destroyed. This is tearing up the timeline. a new guinness world record and i want to ask john if this if you think this should actually count this is a chinese hyper car going for the fastest drift ever that is but here's the thing he doesn't

15:04John Coogan:he doesn't actually pull out of it does he just crash kind of just u-turn it's like a really fast u-turn i think this counts as a drift that's definitely drifting turning counts if you saw If you saw that car going by, you'd be like, wow, that's drifting. Hype Tech SSR, formerly Hyper SSR, is a high-performance, all-electric, two-door supercar. I mean, this is crazy. This is out before the Tesla Roadster. We've never seen a two-door electric supercar. 1 ,225 horsepower goes from 0 to 60 in 1.9 seconds. And it set the Guinness Book of World Records for the fastest electric car drift at 213 kilometers per hour,

15:43Jordi Hays:which is really really insane i feel like you have to actually stay in the stay in the turn

15:50John Coogan:and not do a u-turn what do you mean stay in the turn yeah i don't think it counts you don't think

15:55Jordi Hays:it counts for what it's worth i don't like theoretically if you were drifting yeah i think of drifting it's you're drifting around a corner around a turn and if you were to drift and spin out during the drift then that doesn't if you were doing if somebody was doing that on a track You'd be like, you didn't drift around the corner, you spun out.

16:13John Coogan:Yeah, okay, okay. Yeah, the top comments is fastest spin out. That's a power slide at best.

16:18Jordi Hays:Fire whoever called this drifting.

16:20John Coogan:That's not drifting, that's losing control. Yes, the chat does not like the drift, the fake drift. Call Guinness Book of World Records again. Reset, reset completely. Stolen drift valor. Stolen drift valor.

16:37Jordi Hays:Palmer is sharing something from Compound, the research from their annual meeting.

16:43John Coogan:Yes. They're showing dollars invested in the top 10 companies versus the other percentage,

16:49Jordi Hays:as a percent of overall funding. So you can see there's just heavy, heavy, heavy concentration in a few names. Is this them? I would say overall this is...

16:57John Coogan:Or is this KOTU?

16:58Jordi Hays:No, this is... Oh, the source is KOTU. KOTU is part of...

17:02John Coogan:Okay.

17:02Jordi Hays:They are part of, I would say, driving this data.

17:05John Coogan:Part of the problem, part of the opportunity. I mean, this is what happens when companies -

17:08Jordi Hays:So much of this is about the AI labs just raising more money than any private companies - It's never happened before. Have ever.

17:15John Coogan:$200 billion. Venture as a class in a good year will do like 400 billion, and across OpenAI at 100 billion, 30 for Anthropic, 20 for XAI, then you have a bunch of Neo labs all picking up a billion each. like you very quickly get to a few companies raising half of all the money and that's shown here. It's an incredible amount of concentration. I think a lot of it is due to companies staying private this long. The idea of Facebook went public at, what was Bill Gurley saying? He was saying Amazon went public sub a billion dollars. When Facebook went public at like 60 billion it was like wow crazy they waited way too long and now it's like multiple trillion dollar companies are still private, which is just an incredible capital sink.

18:03John Coogan:So I don't know, should you even put those in the same bucket? Are they even venture bets at this point? If any venture capital fund is putting that in their venture bucket at this point, it feels ridiculous compared to growth scale. I mean, you're bigger than probably 90 % of the S &P. It's a completely different business.

18:24Jordi Hays:Some kind of relevant data. We're about to witness three of the largest IPOs in history. SpaceX is targeting$1.5 trillion. OpenAI aims for$1 trillion. Anthropik is valued at$380 billion. Combined, they're at$2.9 trillion in potential market cap. The scale is unprecedented, but the real problem isn't the market cap, it's the float. Typical IPOs offer 15 % to 25 % of their shares to the public markets. This creates enough liquidity for price discovery while allowing founders and early investors to maintain control. Facebook floated 15 % at the$60 billion that you mentioned and actually traded down pretty much immediately, right?

18:58Jordi Hays:Google floated 19%. Alibaba floated 15%. At 15 % float, here's what these three IPOs would require. SpaceX would be$225 billion. Opening I would be$150 billion. Anthropic would be$57 billion. That's a lot of smackaroos. He was, yeah, a lot of dollars. He was comparing that to Saudi Aramco, Alibaba, and SoftBank, which were combined at the IPO. I believe Saudi Aramco raised$29 billion at a$1.7 trillion market cap, so he's making the case you can't really kind of model how the public markets will absorb these companies off of Saudi Aramco, even though from a sort of like top line market cap standpoint, it is a good proxy.

19:48Jordi Hays:We'll see what the labs end up doing. They are obviously wildly capital intensive businesses. And you can imagine they raise quite a bit more than the Aramco's or the Alibaba's.

20:02John Coogan:Saudi Aramco was such a wild ride. I feel like they were trying to IPO for like a decade.

20:08Jordi Hays:The San Francisco company? It is.

20:10John Coogan:Yeah. Founded in California. I remember hearing Saudi Aramco IPO rumors in 2015. I think it actually kicked off in 2016. They finally got out in 2019. It was the largest IPO ever. There were a million investment banks attached, going all over the world, marshalling capital.

20:28Jordi Hays:Anthropic dials back AI safety commitments. Competitive pressure prompts it to pivot away from a more cautious stance. Anthropic, the AI company known for its devotion to safety, is scaling back that commitment, The company said Tuesday it is softening its core safety policy to stay competitive with other AI labs. Anthropic previously paused development work on its model if it could be classified as dangerous, but it said it would end that practice if a comparable or superior model was released by a competitor, given that they are at the frontier. That kind of opens them up to, I would say, perpetually kind of avoiding some of their prior policies.

21:05Jordi Hays:Sure, sure, sure. The changes are a dramatic shift from two and a half years ago when the guardrails Anthropic published, guiding the development and testing of its new models, established the company as one of the most safety conscious players in the space. Anthropic faces intense competition from rivals, which regularly release cutting edge models. It's also locked in a battle with the Defense Department over how its clawed suite are used after it told the Pentagon it couldn't be used for domestic surveillance or autonomous lethal activities. Anthropic said the safety policy changes an update based on the speed of AI's development and a lack of federal AI regulations.

21:40Jordi Hays:Anthropic, which started as a AI safety research lab, has battled the Trump admin by advocating for state and federal rules on model transparency and guardrails. The admin has, of course, sought to curb states' ability to regulate AI. The obvious sort of criticism here would be that you were heavily focused on safety when you were far away from, I would say, leading in AI. And so switching up now that there's actually real competition.

22:09John Coogan:Switching up on their day ones.

22:10Jordi Hays:Switching up on their day ones. The safest. Now that there's real competition.

22:14John Coogan:Are they forgetting where they're going?

22:15Jordi Hays:Feels a little self-serving. It's possible the money changed them. It's possible the money changed them. it's possible they they always plan to switch up on their day one maybe once they got once they got to to the level they're at now it could just be that they realize like alignment's pretty easy and we don't need a yes what's this new study that's showing like they were doing some war war game simulation and and almost every model was choosing to drop nukes really that's crazy that's

22:44John Coogan:not good I don't like that at all the interesting impetus of like this line around the policy environment has shifted towards prioritizing AI competitiveness and economic growth while safety oriented discussions have yet to gain meaningful traction at the federal level. I still feel like there's a lack of communication around what safety orientation at the federal level means. Like yes, okay, we'll pass the bill that says the AI can't kill everyone. Like, obviously everyone supports that, but like what does it actually mean in practice? because I think part of why that's dangerous means million things to different people.

23:19Jordi Hays:Like, yeah, part of why I think it's fascinating is they've been pushing for regulation as much regulation as possible. Yeah. Seemingly. Yeah. And they're kind of saying, hey, we're not getting what we want. So now we're now we're just we're not even going to play by the own set of rules that we created for ourself because we just want to compete and win. Yeah.

23:40John Coogan:I mean, like going back to the protesters, there are protesters that would say like, like training on intellectual property is dangerous. It's dangerous to my career as a writer. It's dangerous to my career as an illustrator. And so like this, this question, like danger is just too vague. And no one has really been able to concretize it in a meaningful way. And I think that's why it's not getting traction on Capitol Hill.

24:04Jordi Hays:Yeah, I think there's there's just like so many ways that you can define safety. Like so if you read Dario's essays, this thing he brings up over and over is like, okay, we can't let AI get in the hands of like authoritarian government. Sure. So there's like a real like safety narrative that you could do, which is that like, regardless of if our models are like pretty safe, they still need to be better than like China's, for example. Yeah. Because if China gets ahead of us, authoritarian government, right, it's like very bad. So even if, you know, we're releasing models that are less like safe than we would like, As long as they're better than China's, that's still a pro-safety issue, right?

24:37Jordi Hays:Except they'll just be distilled within six weeks. Yeah, but obviously, I would be very surprised if Anthropic keeps the same guardrails of API access. Well, Buco Capital Bloke has a solution.

24:50John Coogan:He says it's simple. We kill Claude.

24:54Jordi Hays:It's simple. We kill the Batman. Well, that was in regards to the Sasspocalypse.

24:59John Coogan:Okay, okay. Who knows? There's so many headlines and the timeline moves so quickly.

25:05Jordi Hays:The anthropic antagonizing the Department of War, the open source community, the entire media industry, the general population, other developers, other labs, foreign governments, and nearly every single person on Earth. What is the plan here? Sell Claude subscriptions to aliens?

25:20John Coogan:It ain't easy having principles.

25:23Jordi Hays:Hackers use Claude to steal 150 gigabytes of Mexican government data. That's crazy. They told Claude they were doing a bug bounty. Claude initially refused. A hacker just kept asking and manages to successfully steal some documents. Apparently, it's four state governments, 195 million taxpayer records, voter records, government credentials.

25:50John Coogan:Anthropic investigated the claims, disrupted the activity, and banned the accounts involved. The company feeds examples of malicious activity back in the Claude to learn from it. In this instance, the hacker was able to continuously probe Claude until he was able to jailbreak it. I was listening to someone talk about like, the ability to jailbreak has generated me like tens of thousands of dollars in profit. It was kind of like a hustle mindset guy. And I was just laughing because whatever you're doing after you jailbreak it is probably not good and so you should probably stop. But he was talking about like, I can sell so many more courses now that I've jailbroken ChadGPT or whatever.

26:30Jordi Hays:Duran says not to worry. They'll hit usage limits before anything bad can happen. This was interesting. Rob Wiblin had a guest on his podcast. The guest is talking that saying every AI lab is working to make their AI helpful, harmless and honest. The guest thinks this is a complete wrong turn and aligning AI to human values is actively dangerous. Today, a nominative determinism because the guest's name is Max Harms.

27:01John Coogan:Max Harms. I feel like with that name, maybe you've got to go with Maxwell or something. I don't know. Perplexity Computer. Computer. Computer. Computer. Launch a Perplexity Computer vibreel. What is Perplexity Computer? Let's pull up this video. Perplexity, the official account says Perplexity Computer. Computer unifies every current AI capability into one system. It can research, design, code, deploy, and manage any project end to end. Okay. Hmm. So it should be able to get a soundboard app in the app store, right? Manage any project, code, deploy, design, research. It should be able to do that from start to finish one prompt soundboard in the app store using the tbpn sound effects which are available online which we have up there this is a good benchmark let's give it a try and you can

27:59Jordi Hays:give it a try at perplexity go check it out i'm just very curious to see how this does it feels like the again going from consumer llms to a net new product that is uh objectively uh just as competitive. And we'll see. Best sellers on Substack for finance are all doomers.

28:21John Coogan:We got to do TBB.

28:22Jordi Hays:And of course, the treaty is not. This is so obvious. No, this is.

28:25John Coogan:Yeah, this is. We need to truth zone this a little bit. A doomer. He's not a doomer. There's plenty of bullish. Very AI bull. But definitely shot to the top of virality and top of the charts on the back of doom. I live this on YouTube. Like you put a negative title up and you just get 10 times more views. but they're lower quality and so you got to balance all that out. It's really hard to go viral with something like everything's fine. Everything's going well. Don't worry. Don't click this because you're scared. Click this because everything's kind of the same as it always has been and you're going to be fine.

29:00John Coogan:And stuff's cool, but it's not really going to change that much. It's going to be pretty incremental. That is not getting clicks. You need to be you need to be telling telling a tall tale you need to be spinning a yarn it's a bull market in yarn spinning folks get ready get out the yarn and start spinning so uh more news from get the gong

29:19Jordi Hays:get the gong okay hit me tell me uh steven over at wop says we're excited to announce that tether the largest stable coin company in the world is making a strategic investment of 200 million into wap valuing us a billion dollars our partnership with tether marks a major step and building the world's largest internet market. Tether is committed to enabling everyone in the world to participate in the new internet economy. The way humans work and create value is changing fast. The world needs both an open internet market, giving people a platform to conduct business as well as a transparent payments network.

29:51Jordi Hays:Fast, cheap, global.

29:52John Coogan:Exactly. And so, yeah, fast, cheap, global.

29:55Jordi Hays:Mike Isaac is saying what we're all thinking. Ready for this to be over. PBH talking about the Warner Brothers, Discovery, Netflix.

30:05John Coogan:It's in the paper every single day. Every single day. Paramount increases Warner Bid. We get it. You guys want to acquire this company. Mark Zuckerberg is planning a stable coin comeback. They also have a banger deal with AMD. And if you head to the bar this weekend and you drink too much, you should just say that you were the victim of a distillation attack. That's the correct turn of phrase. Anyway, thank you for watching. Leave us five stars on Apple Podcasts and Spotify. Have a wonderful day. You

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