If judged based on consumer adoption, AI chatbots are the most popular technology ever. If judged based on poll numbers, they are the least popular. How to explain this? A big part of it is the Doomer Industrial Complex — hundreds of astroturfed organizations that have spread doomer narratives about AI. Writer Nirit Weiss-Blatt (@DrTechlash) has analyzed this ecosystem and traced its funding to just a few Effective Altruism billionaires. Namely Dustin Moskovitz, Jaan Tallinn, Vitalik Buterin, and Sam Bankman-Fried (yes, the convicted felon). Collectively they have donated over a billion dollars to the cause of catastrophizing AI. Those repeating the memes should understand the source. Full article: aipanic.news/p/the-ai-existe…

Republicans voted to cut $186 BILLION from SNAP. Republicans voted to cut $186 BILLION from SNAP. Republicans voted to cut $186 BILLION from SNAP.

I think every one of my ML colleagues from a decade ago who stayed in academia and avoided the AGI/LLM race is now doing "AI for science". Really feels like those are the only two options left.

Affordability has two parts: prices and real wages. Under Biden, real wages for working Americans were decimated. Under President Trump, inflation is coming down and paychecks are rising again. Real prosperity is returning to Main Street.

Wrong. The amount of other people’s lives you have to make better in order to become a trillionaire is INSANE. A trillionaire will provide more value to the world than you likely EVER will.

The government has played a role in critical infrastructure builds. Our public submission (posted on our blog) shares our thinking and suggests ideas for how the US government can support domestic supply chain/manufacturing. This is very in line with everything we have heard from the government about their priorities. We think US reindustrialization across the entire stack--fabs, turbines, transformers, steel, and much more--will help everyone in our industry, and other industries (including us). To the degree the government wants to do something to help ensure a domestic supply chain, great. This is part of a national policy that makes sense to me. But that's super different than loan guarantees to OpenAI, and we hope that's clear. It would be good for the whole country, many industries, and all players in those industries.

Can’t wait for the reply guys who’ve been wrong for 7 months to chirp tonight. Reply guys, where you at?

Powell just confirmed what many of us felt... AI beyond hype is a major source of economic growth. Data centers, chips, and energy are the new railroads, fueling a century of growth, and we're STILL early.

Just a gentle reminder that if OpenAI were to fail, the rest of the players would absorb their talents and move on. There would be 0 impact to the overall progress of AI for the mankind.

Here is an OpenAI document submitted one week ago where they advocate for including datacenter spend within the “American manufacturing” umbrella There they specifically advocate For Federal loan guarantees Sam Lied to everyone, Again

If you want to help the poor, then lower taxes on the rich. What helps the poor is a productive economy that makes goods and services more abundant and less expensive, while creating employment opportunities. The capital investment that makes that possible comes from the rich.

Low testosterone in men is an epidemic that should be addressed very seriously. No woman wants a boyfriend like this. Yet alone a father for their kids. Men the fuck up.

Dan Ives (@DivesTech) is one of the best analysts on Wall Street. He breaks down whether we are in an AI bubble, along with his outlook for various stocks including: $TSLA, $PLTR, $CRWD, $GOOGL, $AAPL, $NVDA, $AMZN, $MSFT, and many others. Enjoy!

Sorry, I hate AI but data center water use is way overblown. Data centers use less water than golf. Also, good data center design doesn't even need to source water from the municipal supply, they can situate themselves next to a lake and pump water from it then return it

I do think people often err on the side of trying to make their prompts too succinct, even if the idea they're trying to move from their own brain into the model's brain is very complex. I have some >100 page prompts that I use pretty regularly.

I would like to clarify a few things. First, the obvious one: we do not have or want government guarantees for OpenAI datacenters. We believe that governments should not pick winners or losers, and that taxpayers should not bail out companies that make bad business decisions or otherwise lose in the market. If one company fails, other companies will do good work. What we do think might make sense is governments building (and owning) their own AI infrastructure, but then the upside of that should flow to the government as well. We can imagine a world where governments decide to offtake a lot of computing power and get to decide how to use it, and it may make sense to provide lower cost of capital to do so. Building a strategic national reserve of computing power makes a lot of sense. But this should be for the government’s benefit, not the benefit of private companies. The one area where we have discussed loan guarantees is as part of supporting the buildout of semiconductor fabs in the US, where we and other companies have responded to the government’s call and where we would be happy to help (though we did not formally apply). The basic idea there has been ensuring that the sourcing of the chip supply chain is as American as possible in order to bring jobs and industrialization back to the US, and to enhance the strategic position of the US with an independent supply chain, for the benefit of all American companies. This is of course different from governments guaranteeing private-benefit datacenter buildouts. There are at least 3 “questions behind the question” here that are understandably causing concern. First, “How is OpenAI going to pay for all this infrastructure it is signing up for?” We expect to end this year above $20 billion in annualized revenue run rate and grow to hundreds of billion by 2030. We are looking at commitments of about $1.4 trillion over the next 8 years. Obviously this requires continued revenue growth, and each doubling is a lot of work! But we are feeling good about our prospects there; we are quite excited about our upcoming enterprise offering for example, and there are categories like new consumer devices and robotics that we also expect to be very significant. But there are also new categories we have a hard time putting specifics on like AI that can do scientific discovery, which we will touch on later. We are also looking at ways to more directly sell compute capacity to other companies (and people); we are pretty sure the world is going to need a lot of “AI cloud”, and we are excited to offer this. We may also raise more equity or debt capital in the future. But everything we currently see suggests that the world is going to need a great deal more computing power than what we are already planning for. Second, “Is OpenAI trying to become too big to fail, and should the government pick winners and losers?” Our answer on this is an unequivocal no. If we screw up and can’t fix it, we should fail, and other companies will continue on doing good work and servicing customers. That’s how capitalism works and the ecosystem and economy would be fine. We plan to be a wildly successful company, but if we get it wrong, that’s on us. Our CFO talked about government financing yesterday, and then later clarified her point underscoring that she could have phrased things more clearly. As mentioned above, we think that the US government should have a national strategy for its own AI infrastructure. Tyler Cowen asked me a few weeks ago about the federal government becoming the insurer of last resort for AI, in the sense of risks (like nuclear power) not about overbuild. I said “I do think the government ends up as the insurer of last resort, but I think I mean that in a different way than you mean that, and I don’t expect them to actually be writing the policies in the way that maybe they do for nuclear”. Again, this was in a totally different context than datacenter buildout, and not about bailing out a company. What we were talking about is something going catastrophically wrong—say, a rogue actor using an AI to coordinate a large-scale cyberattack that disrupts critical infrastructure—and how intentional misuse of AI could cause harm at a scale that only the government could deal with. I do not think the government should be writing insurance policies for AI companies. Third, “Why do you need to spend so much now, instead of growing more slowly?”. We are trying to build the infrastructure for a future economy powered by AI, and given everything we see on the horizon in our research program, this is the time to invest to be really scaling up our technology. Massive infrastructure projects take quite awhile to build, so we have to start now. Based on the trends we are seeing of how people are using AI and how much of it they would like to use, we believe the risk to OpenAI of not having enough computing power is more significant and more likely than the risk of having too much. Even today, we and others have to rate limit our products and not offer new features and models because we face such a severe compute constraint. In a world where AI can make important scientific breakthroughs but at the cost of tremendous amounts of computing power, we want to be ready to meet that moment. And we no longer think it’s in the distant future. Our mission requires us to do what we can to not wait many more years to apply AI to hard problems, like contributing to curing deadly diseases, and to bring the benefits of AGI to people as soon as possible. Also, we want a world of abundant and cheap AI. We expect massive demand for this technology, and for it to improve people’s lives in many ways. It is a great privilege to get to be in the arena, and to have the conviction to take a run at building infrastructure at such scale for something so important. This is the bet we are making, and given our vantage point, we feel good about it. But we of course could be wrong, and the market—not the government—will deal with it if we are.