Greg Brockman Defends $30B OpenAI Stake: ‘Blood, Sweat, and Tears’


Two days before the Musk v. Altman trial began, Elon Musk asked OpenAI cofounder and president Greg Brockman about reaching a settlement. When Brockman suggested both sides drop their claims, Musk responded, “By the end of this week, you and Sam [Altman] will be the most hated men in America. If you insist, so be it.”

The message—which OpenAI’s lawyers made public on Sunday, and which Judge Yvonne Gonzalez Rogers subsequently refused to let the jury hear about—underscores what may be Musk’s larger goal in this trial. He appears to be trying to not only win over the jurors to potentially remove Brockman and CEO Sam Altman from power, but also stir up dirt on the two men and damage OpenAI’s public image.

As Brockman took the stand on Monday, Musk’s attorney Steven Molo quickly started questioning him about his compensation at OpenAI. Brockman revealed that his equity stake at OpenAI is currently worth more than $20 billion, and perhaps up to $30 billion. While Brockman initially promised to donate $100,000 to OpenAI when it was being set up, he said he ultimately never followed through.

Brockman has held a number of instrumental roles at OpenAI since he cofounded the company in 2015. In the startup’s early days, it operated out of his apartment in the Mission District of San Francisco. Today, he’s deeply involved with refocusing OpenAI on a few key products, such as Codex. In the past year, Brockman has also given millions to super PACs promoting AI and President Trump, and has previously said this increased political spending is related to OpenAI’s founding mission to create artificial general intelligence that benefits all of humanity.

In court on Monday, Molo tried to make the case that Brockman and Altman had essentially looted OpenAI’s original nonprofit, which Musk funded and helped create.

In its early days, OpenAI told investors and employees that its nonprofit mission took precedence over generating profit. Brockman testified that his financial interests are still, to this day, second to OpenAI’s nonprofit mission.

When OpenAI created its for-profit arm in 2019, which received assets from the nonprofit, Brockman testified that he was given a significant stake in the new entity. Early in OpenAI’s history, Brockman had referenced wanting to be a billionaire, writing in his personal journal, “Financially what will take me to $1B?”

On Monday, Molo pressed Brockman for several minutes about the vast wealth he had accumulated beyond his initial goal.

“Why not donate that $29 billion to the OpenAI nonprofit? Why didn’t you do that?” Molo asked. Brockman responded that he and others had poured “blood, sweat, and tears” into building OpenAI in the years since Musk left the company.

OpenAI’s foundation holds a stake of over $150 billion in the company, making it one of the richest nonprofits in history, Brockman said. That’s roughly five times Brockman’s ownership interest. Altogether, OpenAI employees hold about 25 percent of shares. The foundation has 27 percent. Brockman testified that OpenAI’s nonprofit had received less than $150 million from donors, implying Musk had been incidental to the company’s success and that the real drivers were those who stuck around to build out OpenAI.

Of course, Brockman’s stake in OpenAI could be worth much more than $30 billion if the company successfully goes public in the next two years. When asked whether OpenAI was exploring a potential IPO, Brockman said he believes so.

Here’s why ChatGPT kept talking about goblins for a while


ChatGPT on an Android phone held in the air by a man's hand with a bookshelf in the background.

Nathan Drescher / Android Authority

TL;DR

  • ChatGPT has been mentioning goblins unusually frequently for some time.
  • The mentions were seemingly caused by a training quirk for ChatGPT’s retired “nerdy” personality type.
  • A specific instruction in GPT-5.5 should tamp down on the inappropriate goblin mentions.

Earlier this week, a post on the ChatGPT subreddit pointed out an eyebrow-raising instruction in the system prompt for new GPT-5.5 model: an explicit restriction on mentioning goblins, gremlins, and trolls, among other things, unless strictly relevant to the query at hand. OpenAI’s addressed its recent models’ fascination with the creatures, and it turns out it’s mostly down to the chatbot’s former nerdy-style personality mode.

ChatGPT lets users choose from a number of preselected style and tone combinations, which OpenAI calls personalities. There are options to make the bot affect several personalities — professional, efficient, quirky — in its responses, including, at one time, one OpenAI wanted to be “unapologetically nerdy.” In a blog post, the company says that although that nerdy setting only applied to about one in 40 ChatGPT responses while it was available, it really liked talking about mythical creatures: two-thirds of all uses of the word “goblin” came from interactions in the nerdy style, which OpenAI retired last month.

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ChatGPT mentions of the word goblin apparently increased nearly 40-fold between GPT-5.2 and GPT-5.4. OpenAI says that in building out the its nerdy archetype, its engineers “unknowingly gave particularly high rewards for metaphors with creatures,” which led to that personality style referencing not only goblins, but also ogres, trolls, and gremlins much more often than you’d expect.

But because OpenAI started GPT-5.5’s training before it figured out why ChatGPT was talking so much about goblins, the behavior continued in testing, along with overuse of other “tic words” including raccoon and pigeon. In the end, the latest model ended up with specific instructions to avoid using these words unless absolutely necessary.

It’s troubling to know that widely distributed AI models can develop pervasive behavioral quirks that confuse even the engineers working on them, but at least this one in particular was relatively harmless.

If you’re a ChatGPT user, did you notice it talking about goblins more than it should have? If yes, has it stopped? Let us know about your experience in the comments.

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OpenAI’s Instructions to Codex Have a Weirdly Emphatic No-Creatures Policy



A document posted by OpenAI on Github as part of the open-sourcing for Codex CLI, OpenAI’s most recent flagship coding agent, contains what looks like the entire system prompt for GPT-5.5 in a coding context. And it seems to correct for the model’s past addiction to talking about whimsical creatures both natural and supernatural.

Here’s the relevant section (emphasis added):

“provide the highest-signal context instead of describing everything exhaustively.\n- Tone of your final answer must match your personality.\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query.”

Evidently this point is so important, the developers bring it up again a bit later:

“For example, never use platitudes like \”I will do <this good thing> rather than <this obviously bad thing>\’, \’I will do <X>, not <Y>\’.\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query.”

It’s not clear why this matters so much. If these were, for instance, canary words inserted into the system prompt as a way to monitor for prompt injection attacks, they would probably be more random, rather than seemingly a whole category of animals.

OpenAI did not reply to a request for comment on Tuesday night.

A Google employee named Barron Roth posted what appears to be a search of his chat logs with some of his GPT-5.5-powered Openclaw agents, showing that at least one had a history of inserting the word “goblin” into messages to the user multiple times in a single day. To my admittedly untrained eye, GPT-5.5 seems to be using it in place of a word like “thingy.”

Nick Pash, who works on Codex at OpenAI, partially confirmed that Roth had hit on the nature of the problem, writing to him on X “this is indeed one of the reasons.”

It looks like other X users also noticed that Codex had taken the goblin talk a little too far.

On Tuesday, this goblin issue became a meme, with users suggesting that some sort of “Goblin Mode,” could be toggled on and off.

Pash eventually added his own post about Goblin Mode:

If this is giving you flashbacks to a year ago when OpenAI was all about Studio Ghibli memes, you’re not alone. Some dared to assert that OpenAI might be doing all this goblin stuff for attention at what is, after all, a somewhat troubled moment for the company.

But according to another post by Pash, “it really isn’t a marketing gimmick.”



OpenAI’s existential questions | TechCrunch


OpenAI has been all over the news recently, whether that news is about acquisitions, competition with Anthropic, or bigger debates about AI’s impact on society.

On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I did our best to round up all the latest OpenAI news. While the company’s latest acquisitions seem to be classic acqui-hires, Sean suggested they also address “two big existential problems that OpenAI is trying to solve right now.”

First, with the team behind personal finance startup Hiro, the company may be hoping to  come up with a product that has “more hooks than just a chatbot, and maybe something worth paying more for.” And with new media startup TBPN, OpenAI could be looking to “better shape its image in the public eye, which lately has not been great.”

Read a preview of our conversation, edited for length and clarity below.

Anthony: [We have] two deals that are worth mentioning, one is that OpenAI acquired this personal finance startup called Hiro. And that comes after another deal that was literally announced when we were recording our last episode of Equity, so we didn’t get to talk about it: OpenAI had also acquired TBPN — a business talk show, like a new media company.

And I think both of these deals are pretty small compared to the scale of OpenAI. These are not things that people expect to really change the course of their business or anything like that, but they’re interesting because it suggests that there’s still this [attitude of,] “Let’s try out different things.”

Especially [with] the TBPN deal […] particularly at this time when it feels like OpenAI, from all the reporting we’re reading, is also trying to really refocus on making ChatGPT and its GPT models really competitive in an enterprise context with programmers.

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Is running a tech talk show, should that really be on the to-do list?

Kirsten: No, this should not be on the to-do list. That’s it. 

I do want to mention Hiro because to me, that’s an interesting one, because Julie Bort, our venture editor, super talented, she wrote about this and was I think the first to write about it. She dug in a little bit and basically this looks like an acqui-hire. The company is folding. They basically said, “By this date, you won’t be able to access this anymore.”

This is a personal finance startup. And they only launched two years ago. So this absolutely is about getting talent on board. So I’m very curious to see if OpenAI is going to be just absorbing them into the ether at OpenAI, or if they’re actually interested in some sort of personal finance product that they want to work on. To me, it’s not really clear.

Sean: I think you look at both of these as acqui-hires to a certain extent. I mean, the TBPN acquisition, allegedly they are going to retain their editorial independence on the show that they make every day. And all respect to those guys who’ve put that out there and gotten it off the ground so quickly and grown it into what it has become.

I think any person who follows the media should have a healthy dose of skepticism that when you acquire something like that and you put the people who make the show under the org of the public policy people and comms or marketing adjacent people higher up at the company making the acquisition, that you could have good questions about whether or not saying “editorial independence” is enough. It’s not an incantation that just works.

But you know, what’s interesting to me about these two, while they are similar in their acqui-hire-ness, I think they both represent two major problems that OpenAI is facing.

One is Hiro. OpenAI has a very successful product in ChatGPT. As far as whether or not that will actually ever make them enough money to become a sustainable business that’s not raising the largest private rounds in the world, ever, to keep things going, is a big question. And they also seem to be struggling to keep up on the enterprise side of things where the real money seems to be, so bringing in a team like this seems like taking a shot at, “What else can we do?” 

The guy who founded Hiro seems to have a serial entrepreneur streak of creating consumer apps, and so this seems to me like a bet on them being able to come up with something else that may have more hooks than just a chatbot, and maybe something worth paying more for.

And then TBPN is an acquisition made to help better represent what the company does and better shape its image in the public eye, which lately has not been great and certainly is under more questions now than just a few weeks ago, because Ronan Farrow just led a report at The New Yorker that dropped suspiciously right around the time that this and a couple other announcements from OpenAI came out last week. 

I think those are two big existential problems that OpenAI is trying to solve right now.

Kirsten: So the thing that you didn’t say is, there’s Anthropic kind of looming in — not in the shadows, I mean, they’re very much taking up a lot of space here — but they’re having a lot of success on the enterprise side of things.

It feels like these guys are competitors and they also feel like very different companies in a lot of ways. Anthony, I’m wondering if you see them as direct competition to OpenAI? Or [are they] just finding their stride in enterprise and in a way, these two companies are clearly going to coexist and they’re really not directly competing with each other — maybe on talent, but not necessarily as we initially thought of them?

Anthony: I think they’re directly competing with each other. There’s definitely a scenario where if AI as an industry, as a technology, is as successful as its proponents hope for, they could both be very successful companies, they could just be the one and two. And the success of one does not necessarily mean that the other will just fade into obscurity. 

And again, none of this is official, but there’s just been a lot of reporting around how it seems like OpenAI, more than anyone, is obsessed with and upset about Anthropic’s rise. 

Our reporter Lucas [Ropek], he did a great piece over the weekend about the HumanX conference, where he was talking to everyone there and they’re sort of like, “Yeah, ChatGPT is fine, too,” but like they were all about Claude Code. And I think that is exactly what OpenAI is worried about.

Because again, in theory, there could be many other opportunities for generative AI, but it feels like the big growth area, the area where the most money is and where they could at least see a path to having a sustainable business in the future, is in these enterprise and coding tools.

Anthropic’s rise is giving some OpenAI investors second thoughts


OpenAI’s $852 billion valuation is facing skepticism from some of its own investors as the company scrambles to reorient itself around enterprise customers and fend off Anthropic, according to the Financial Times.

Anthropic’s annualized revenue jumped from $9 billion at the end of 2025 to $30 billion by the end of March, driven largely by demand for its coding tools. One investor who has backed both companies told the FT that justifying OpenAI’s round required assuming an IPO valuation of $1.2 trillion or more — making Anthropic’s current $380 billion valuation look like the relative bargain.

The secondary market tells a similar story right now, where demand for Anthropic shares has grown nearly insatiable while OpenAI shares are trading at a discount.

Altman has been here before. During his tenure leading Y Combinator, aggressive valuation inflation left some portfolio companies financially stranded while others proved worth every penny and then some.

OpenAI CFO Sarah Friar pushed back, telling the FT that the company’s $122 billion raise — the largest private fundraising in history — was evidence of continued investor confidence. Not everyone is persuaded. Jai Das, president of investment firm Sapphire Ventures (who has no stake in either company) told the FT he saw OpenAI as “the Netscape of AI,” a reference to the once-dominant browser that was overtaken by Microsoft and eventually absorbed by AOL.

Update: This piece has been updated to remove an investor quote published and later removed by the Financial Times.

Florida AG to probe OpenAI, alleging possible connection to FSU shooting


Florida Attorney General James Uthmeier announced on Thursday his office will investigate OpenAI for its alleged harm to minors, potential to threaten national security, and its possible link to a shooting that took place at Florida State University last year.

“ChatGPT may likely have been used to assist the murderer in the recent mass school shooting at Florida State University that tragically took two lives,” Attorney General Uthmeier said in a video posted to social media.

On the day of the FSU shooting last April, the suspect allegedly asked ChatGPT how the country would react to a shooting at FSU, and what time it would be busiest at the FSU student union. These messages could potentially be used as evidence against the suspect in an October trial about the shooting.

The attorney general cited further concerns about ChatGPT’s encouragement of suicide in certain instances, which have been documented in multiple lawsuits brought by families against OpenAI. He also mentioned his concern that the Chinese Communist Party could use OpenAI’s technology against the United States.

“As big tech rolls out these technologies, they should not — they cannot — put our safety and security at risk,” he said. “We support innovation. But that doesn’t give any company the right to endanger our children, facilitate criminal activity, empower America’s enemies, or threaten our national security.”

He also called on the Florida legislature to “work quickly” to protect children from the negative impacts of AI.

“Each week, more than 900 million people use ChatGPT to improve their daily lives through uses such as learning new skills or navigating complex healthcare systems,” an OpenAI spokesperson said in a statement to TechCrunch. “Our ongoing safety work continues to play an important role in delivering these benefits to everyday people, as well as supporting scientific research and discovery.”

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OpenAI added that it builds and continues to improve ChatGPT to understand user intent and respond in appropriate, safe ways. The company said it will cooperate with the Florida attorney general’s investigation.

On Wednesday, OpenAI unveiled its Child Safety Blueprint, which includes policy recommendations designed to improve children’s safety as it relates to AI.

This action comes as chatbot makers face pressure to confront their potential role in creating child sexual abuse material (CSAM). According to a recent report from the Internet Watch Foundation, there were over 8,000 reports of AI-generated CSAM in the first half of 2025, which represents a 14% increase year over year.

OpenAI’s blueprint recommends updating legislation to protect against AI-generated abuse material, refining the reporting process to law enforcement, and instituting better preventative safeguards against abusive uses of AI tools.



Sora’s shutdown could be a reality check moment for AI video


OpenAI announced this week that it’s shutting down its Sora app and related video models just six months after launching the app.

On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I debated what the decision means for OpenAI and for the industry more broadly. To some extent, the move seems consistent with what we’ve been hearing about OpenAI as it focuses on enterprise and productivity tools ahead of a possible IPO.

In fact, Kirsten suggested that OpenAI’s decision to shutter Sora was “a sign of maturity that was nice to see in an AI lab.”

But Sora’s shutdown — along with ByteDance’s reported delay in launching its Seedance 2.0 video model worldwide — could also be a reality check moment for the makers of AI video tools, and for evangelists who claim these tools will be replacing Hollywood anytime soon.

Read a preview of our conversation, edited for length and clarity, below.

Anthony: I think it’s worth highlighting that it’s not just the app. I mean, the app was particularly unappealing to me, at least, and I think to other people, because it was this idea of a social network without people, where it’s just nothing but slop.

But beyond the app, it seems like OpenAI is basically winding down pretty much everything it’s doing with video. According to the Wall Street Journal, which broke some of this news, it’s really about this idea that Open AI is — in advance of potentially going public — really trying to focus on business products, enterprise products, programming products. [So] this consumer social app, [and] more broadly video, is not a priority right now.

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Sean: Yeah, I never really used [the app]. The idea of it turned me off for a number of different reasons. And you know, it was a good reminder that Open AI — and I don’t mean this to knock them down in really any way —  but I think this was a reminder, probably, for them internally, of the element of luck […] in how successful ChatGPT became. 

Clearly, there is something that is valuable there to people, I don’t want to take away from that, because you do not get to the usage numbers that we’ve heard reported from them without there being something that is working right —and even more so that it’s been kept up over a number of years and developed into something that stays meaningful to people.

But there was an element of Sora, when it came out, of like, “We built the most successful consumer product ever, and now we’re doing it again. And we’re going to bring in Disney and all this stuff.” I think this is just a really harsh reminder of like it’s not always going to be an absolute shortcut to the top of the greatest consumer products ever and that there really needs to be something that people feel like they’re getting some meaning out of it for it to stick around. 

Kirsten: Yeah, I actually want to give OpenAI props for this decision, because we sometimes make fun of the whole idea of “move fast and break things,” but I think that there is some value [to] companies that can iterate very quickly and then kill off products that are not working and not feel a sense of failure behind it. I mean, there was real money that was lost. If you were to look at the deal with Disney, that was a billion dollar deal, but if you look at — and we don’t have the insight into this because we’re not seeing their balance sheets — but what were they spending on this and what was the long-term value for the company? 

And I think that while, sure, it was interesting to see what they could create, their decision to shutter it, to me, showed a sign of maturity that was nice to see in an AI lab.

Anthony: In terms of what it means for OpenAI, it seems very consistent with everything that we’ve been hearing about their strategy going forward. It doesn’t seem like a huge blow or anything like that in terms of how we think about the future of generative AI.

Particularly in video, it’s interesting because it also comes at this time that there’s been reporting around Seedance, which is the ByteDance generative AI model [for video]. There’s reports that [Seedance 2.0 has] been delayed because there’s engineering and legal questions and basically [figuring out], “Can we build IP protections into this?” Which apparently they hadn’t taken as seriously before. 

And so, it’s this reality check moment. There were these really hyperbolic statements, including from people within Hollywood that [were] like, “We’re done, this is the future, it’s just typing in prompts and making feature films.” And it turns out that for all kinds of technical and legal reasons, it is not that easy and we are very, very far from that happening.

Sean: And the last thing I think we should say about this, too, is this is one of a number of decisions that appear to be happening after Fidji Simo came in [and began] sort of running the day-to-day operations. That’s just a huge dynamic that’s changed inside of OpenAI. And I think the further we get away from that moment of of her being tapped to run the show, and especially these consumer products and decide the fate of them, the easier it’ll be to look back at this moment in time and think about how big a moment that was for this company.

OpenAI is reportedly pushing back the launch of its ‘adult mode’ even further


Here comes another disappointment for ChatGPT users. As first reported by Sources‘ Alex Heath, OpenAI is yet again delaying its “adult mode” for ChatGPT. A company spokesperson told Heath that “we’re pushing out the launch of adult mode so we can focus on work that is a higher priority for more users right now.”

More specifically, OpenAI’s spokesperson said that things like “gains in intelligence, personality improvements, personalization, and making the experience more proactive” were being prioritized instead. However, the company still wants to release an adult mode, but it would “take more time,” according to the company spokesperson.

The reveal of ChatGPT’s adult mode dates back to October, when OpenAI’s CEO, Sam Altman, posted on X that the company would roll out more age-gating as part of its “treat adults like adults” principle, adding that this would include “erotica for verified adults.” Altman originally said this adult mode would be available in December, but an OpenAI exec later said during a December briefing that it would instead debut in the first quarter of 2026.

With Q1 almost coming to a close, we no longer have a timeframe for when ChatGPT’s adult mode will release. However, OpenAI began rolling out its age prediction tool in January, which may go hand-in-hand with the upcoming adult mode.

The trap Anthropic built for itself


Friday afternoon, just as this interview was getting underway, a news alert flashed across my computer screen: the Trump administration was severing ties with Anthropic, the San Francisco AI company founded in 2021 by Dario Amodei. Defense Secretary Pete Hegseth soon after invoked a national security law to blacklist the company from doing business with the Pentagon after Amodei refused to allow Anthropic’s tech to be used for mass surveillance of U.S. citizens or for autonomous armed drones that could select and kill targets without human input.

It was a jaw-dropping sequence of events. Anthropic stands to lose a contract worth up to $200 million and could be barred from working with other defense contractors after President Trump posted on Truth Social directing every federal agency to “immediately cease all use of Anthropic technology.” (Anthropic has since said it will challenge the Pentagon in court.)

Max Tegmark has spent the better part of a decade warning that the race to build ever-more-powerful AI systems is outpacing the world’s ability to govern them. The MIT physicist founded the Future of Life Institute in 2014 and in 2023 helped organize an open letter — ultimately signed by more than 33,000 people, including Elon Musk — calling for a pause in advanced AI development.

His view of the Anthropic crisis is unsparing: the company, like its rivals, has sown the seeds of its own predicament. Tegmark’s argument doesn’t begin with the Pentagon but with a decision made years earlier — a choice, shared across the industry, to resist regulation. Anthropic, OpenAI, Google DeepMind and others have long promised to govern themselves responsibly. Anthropic this week even dropped the central tenet of its own safety pledge — its promise not to release increasingly powerful AI systems until the company was confident they wouldn’t cause harm.

Now, in the absence of rules, there’s not a lot to protect these players, says Tegmark. Here’s more from that interview, edited for length and clarity. You can hear the full conversation this coming week on TechCrunch’s StrictlyVC Download podcast.

When you saw this news just now about Anthropic, what was your first reaction?

The road to hell is paved with good intentions. It’s so interesting to think back a decade ago, when people were so excited about how we were going to make artificial intelligence to cure cancer, to grow the prosperity in America and make America strong. And here we are now where the U.S. government is pissed off at this company for not wanting AI to be used for domestic mass surveillance of Americans, and also not wanting to have killer robots that can autonomously — without any human input at all — decide who gets killed.

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Anthropic has staked its entire identity on being a safety-first AI company, and yet it was collaborating with defense and intelligence agencies [dating back to at least 2024]. Do you think that’s at all contradictory?

It is contradictory. If I can give a little cynical take on this — yes, Anthropic has been very good at marketing themselves as all about safety. But if you actually look at the facts rather than the claims, what you see is that Anthropic, OpenAI, Google DeepMind and xAI have all talked a lot about how they care about safety. None of them has come out supporting binding safety regulation the way we have in other industries. And all four of these companies have now broken their own promises. First we had Google — this big slogan, ‘Don’t be evil.’ Then they dropped that. Then they dropped another longer commitment that basically said they promised not to do harm with AI. They dropped that so they could sell AI for surveillance and weapons. OpenAI just dropped the word safety from their mission statement. xAI shut down their whole safety team. And now Anthropic, earlier in the week, dropped their most important safety commitment — the promise not to release powerful AI systems until they were sure they weren’t going to cause harm.

How did companies that made such prominent safety commitments end up in this position?

All of these companies, especially OpenAI and Google DeepMind but to some extent also Anthropic, have persistently lobbied against regulation of AI, saying, ‘Just trust us, we’re going to regulate ourselves.’ And they’ve successfully lobbied. So we right now have less regulation on AI systems in America than on sandwiches. You know, if you want to open a sandwich shop and the health inspector finds 15 rats in the kitchen, he won’t let you sell any sandwiches until you fix it. But if you say, ‘Don’t worry, I’m not going to sell sandwiches, I’m going to sell AI girlfriends for 11-year-olds, and they’ve been linked to suicides in the past, and then I’m going to release something called superintelligence which might overthrow the U.S. government, but I have a good feeling about mine’ — the inspector has to say, ‘Fine, go ahead, just don’t sell sandwiches.’

There’s food safety regulation and no AI regulation.

And this, I feel, all of these companies really share the blame for. Because if they had taken all these promises that they made back in the day for how they were going to be so safe and goody-goody, and gotten together, and then gone to the government and said, ‘Please take our voluntary commitments and turn them into U.S. law that binds even our most sloppy competitors’ — this would have happened. Instead, we’re in a complete regulatory vacuum. And we know what happens when there’s a complete corporate amnesty: you get thalidomide, you get tobacco companies pushing cigarettes on kids, you get asbestos causing lung cancer. So it’s sort of ironic that their own resistance to having laws saying what’s okay and not okay to do with AI is now coming back and biting them.

There is no law right now against building AI to kill Americans, so the government can just suddenly ask for it. If the companies themselves had earlier come out and said, ‘We want this law,’ they wouldn’t be in this pickle. They really shot themselves in the foot.

The companies’ counter-argument is always the race with China — if American companies don’t do such and such, Beijing will. Does that argument hold?

Let’s analyze that. The most common talking point from the lobbyists for the AI companies — they’re now better funded and more numerous than the lobbyists from the fossil fuel industry, the pharma industry and the military-industrial complex combined — is that whenever anyone proposes any kind of regulation, they say, ‘But China.’ So let’s look at that. China is in the process of banning AI girlfriends outright. Not just age limits — they’re looking at banning all anthropomorphic AI. Why? Not because they want to please America but because they feel this is screwing up Chinese youth and making China weak. Obviously, it’s making American youth weak, too.

And when people say we have to race to build superintelligence so we can win against China — when we don’t actually know how to control superintelligence, so that the default outcome is that humanity loses control of Earth to alien machines — guess what? The Chinese Communist Party really likes control. Who in their right mind thinks that Xi Jinping is going to tolerate some Chinese AI company building something that overthrows the Chinese government? No way. It’s clearly really bad for the American government too if it gets overthrown in a coup by the first American company to build superintelligence. This is a national security threat.

That’s compelling framing — superintelligence as a national security threat, not an asset. Do you see that view gaining traction in Washington?

I think if people in the national security community listen to Dario Amodei describe his vision — he’s given a famous speech where he says we’ll soon have a country of geniuses in a data center — they might start thinking: ‘Wait, did Dario just use the word country? Maybe I should put that country of geniuses in a data center on the same threat list I’m keeping tabs on, because that sounds threatening to the U.S. government.’ And I think fairly soon, enough people in the U.S. national security community are going to realize that uncontrollable superintelligence is a threat, not a tool. This is totally analogous to the Cold War. There was a race for dominance — economic and military — against the Soviet Union. We Americans won that one without ever engaging in the second race, which was to see who could put the most nuclear craters in the other superpower. People realized that was just suicide. No one wins. The same logic applies here.

What does all of this mean for the pace of AI development more broadly? And how close do you think we are to the systems you’re describing?

Six years ago, almost every expert in AI I knew predicted we were decades away from having AI that could master language and knowledge at human level — maybe 2040, maybe 2050. They were all wrong, because we already have that now. We’ve seen AI progress quite rapidly from high school level to college level to PhD level to university professor level in some areas. Last year, AI won the gold medal at the International Mathematics Olympiad, which is about as difficult as human tasks get. I wrote a paper together with Yoshua Bengio, Dan Hendrycks, and other top AI researchers just a few months ago giving a rigorous definition of AGI. According to this, GPT-4 was 27% of the way there. GPT-5 was 57% of the way there. So we’re not there yet, but going from 27% to 57% that quickly suggests it might not be that long.

When I lectured to my students yesterday at MIT, I told them that even if it takes four years, that means when they graduate, they might not be able to get any jobs anymore. It’s certainly not too soon to start preparing for it.

Anthropic is now blacklisted. I’m curious to see what happens next — will the other AI giants stand with it and say, ‘We won’t do this either?’ Or does someone like xAI raise their hand and say, ‘Anthropic didn’t want that contract, we’ll take it’? [Editor’s note: Hours after the interview, OpenAI announced its own deal with the Pentagon.]

Last night, Sam Altman came out and said he stands with Anthropic and has the same red lines. I admire him for the courage of saying that. Google, as of when we started this interview, had said nothing. If they just stay quiet, I think that’s incredibly embarrassing for them as a company, and a lot of their staff will feel the same. We haven’t heard anything from xAI yet either. So it’ll be interesting to see. Basically, there’s this moment where everybody has to show their true colors.

Is there a version of this where the outcome is actually good?

Yes, and this is why I’m actually optimistic in a strange way. There’s such an obvious alternative here. If we just start treating AI companies like any other companies — drop the corporate amnesty — they would clearly have to do something like a clinical trial before they released something this powerful, and demonstrate to independent experts that they know how to control it. Then we get a golden age with all the good stuff from AI, without the existential angst. That’s not the path we’re on right now. But it could be.



Know What Else Used a Lot of Energy? Human Civilization



At last week’s India AI Impact Summit in New Delhi, industry leaders convened to discuss the future of artificial intelligence and how best to squeeze it into parts of your life you haven’t even considered. Notably absent was Bill Gates, who dropped out hours before his scheduled keynote over the ongoing scrutiny about his presence in the Epstein Files (though he continues to deny any wrongdoing). While the convention was reportedly a bit chaotic, what with the protests and all, the luminaries from around the tech world present nonetheless kept things upbeat and optimistic, declaring “full steam ahead” on the technological hype train carrying our species and planet off a cliff.

Also in attendance was OpenAI’s Sam Altman, who earned numerous headlines over the course of the event for his words and antics. His buzz blitzkrieg started on Thursday at a seemingly easy photo-opp layup with Indian Prime Minister Narendra Modi and other AI executives all raising their joined hands in a celebratory display of industry-wide solidarity. Altman and the former colleague and present CEO of Anthropic to his left, Dario Amodei, notably refused to complete the chain and hold each other’s hands, making for an all-too-poignant moment. Altman would continue to make news throughout the summit for his comments on the industry’s “urgent” need for global regulation and his sneaking suspicion that companies might actually be using AI as a scapegoat to whitewash their layoffs.

Ever the yapper, Altman has bagged yet another round of earned media for an interview with The Indian Express’ Anant Goenka, during which he posited some controversial rebuttals to concerns about AI’s environmental impact.

Altman started off by saying the claims about ChatGPT consuming “‘17 gallons of water for each query’ or whatever,” are “completely untrue, totally insane, no connection to reality,” before qualifying that, OK, maybe it was a valid concern when his company “used to do evaporative cooling in data centers.”

He went on to say that there is “fair” concern about the amount of energy data centers eat to crank out the most soulless slop you’ve ever seen, but suggested the onus of responsibility for dealing with AI’s ravenous appetite falls to the energy sector itself, which Altman feels needs to “move towards nuclear or wind and solar very quickly.”

Altman then stunned the crowd and firmly re-entered the discourse with a mind-blowing truth bomb for those who still felt AI was consuming too much energy.

“It also takes a lot of energy to train a human,” Altman rejoined euphorically. “It takes like 20 years of life, and all the food you eat before that time, before you get smart. And not only that, it took like the very widespread evolution of the hundred billion people that have ever lived and learned not to get eaten by predators and learned how to figure out science and whatever to produce you, and then you took whatever you took.”

It is true that every person and the sum total of human civilization have consumed a sizable amount of energy (and water) to get to where we are today. While the value comparison of a nascent tech industry and its models to the entirety of civilization and human beings may have elicited adulation at the summit, Altman got an icier reception from the internet. Social media quickly took to roasting the remarks as “dystopian” and “deeply antisocial and antihuman.”

Perhaps further illuminating the backlash, Altman’s energy comments butt up against the frustrating lack of transparency within the industry our collective futures now hinge upon. There are currently no regulations in place requiring data centers to disclose their water and energy consumption. Furthermore, center employees and business partners are typically muzzled by nondisclosure agreements. This has made reporting and research on the true expenditure levels a tricky figure to pin down.

At least we’ve got Sam to keep us informed while waiting for some clarity about what’s actually going on and being used in those centers.