The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 151 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 4 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Overnight AI intelligence explosion unlikely due to test-time compute bottlenecks
“And I don't think we're headed to that world largely because of the fact that the models rely so much on large scale test time compute. In order to achieve their greatest intelligence. If you, if it requires so much test time compute to unlock the full capabil…”
Patel: Anthropic has surpassed OpenAI in API revenue
“Anthropic has eclipsed OpenAI and API revenue, and their API revenue is primarily not thinking. It's clawed for, but it's not in the thinking mode.”
Brown: Modern AI models can reason for weeks before plateauing
“What we're seeing today with the modern models is that 5.5 and other models can think for, if you scaffold them reasonably well, can think for weeks even before having performance plateau on some of these benchmarks.”
Patel: Microsoft dropped Stargate for OpenAI due to slow execution
“Microsoft is not building
Stargate for OpenAI, right? It's because it would have just been too slow, and they're doing it the lame and old way.”
Prince: OpenAI and Anthropic Refer Traffic 750x and 30,000x Less Than Google
“In the case of someone like OpenAI, it's 750 times harder than it was with the Google of old. With the case of Anthropic, it's 30,000 times harder than the content of old”
Peebles: Video models will eventually surpass humans as physical world models
“We're optimistic that Sora will, you know, supersede that kind of capability and will, you know, in the long run enable it to be More intelligent one day than humans as world models.”
Peebles: Sora will evolve into interactive world simulators with autonomous humans
“And so looking forward, as we continue to scale up models like Sora, we think we're going to be able to build these, like, world simulators, where essentially, you know, anybody can interact with them. I, as a human, can have my own simulator running, and I ca…”
Gil: Anthropic and OpenAI Should Never Sell in the Near Term
“There's a handful of companies that should never, ever sell, at least any time in the near term. If you're anthropic, you shouldn't sell. If you're opening, you shouldn't sell. You know, there's a handful of these things that should never sell.”
Complex task compute costs fall 10x to 100x per model release
“The model release cycle is every, every couple months we put out a new model that's even more powerful, and so the cost of disproving the Erdos unit distance gesture drops by, like, 10 or a hundred x with every model release cycle. Probably, in some cases, mor…”
OpenAI internal model reportedly disproved the Erdős unit distance conjecture
“We used an internal model at OpenAI a few weeks ago to disprove the unit Erdos unit distance conjecture.”
OpenAI discourages researchers from using current models on open math problems
“We are trying to encourage people to not spend all their time just, like, Going through all the mathematical open problems, physics problems, and just seeing, pushing the models to their limits to see what they can prove or disprove. Because we really think th…”
Feldman: Cerebras signed a $20B+ OpenAI deal in 4.5 weeks
“For a, 20 plus billion dollar deal to do it in four and a half weeks was exceptional.”
Karpathy: Frontier AI researchers are actively automating themselves out of jobs
“Even with other research, like, OpenAI or, you know Anthropic or these other labs, like, they're employing, what, like, a thousand something researchers, right? These researchers are basically, like, glorified auto, like, you know. They're, like, automating th…”
Huang: Cursor, Claude, and OpenAI enterprise usage maintain strong margins
“Cursor, their margins are great. Claude's margins are great. For the enterprise use of OpenAI, their margins are great.”
Huang: NVIDIA would be worth hundreds of billions even without chatbots
“If you, if generative AI, well, excuse me, if chatbots, let's just go, you know, OpenAI and Anthropic, Gemini. If none of that existed today, NVIDIA would be a multi-hundred billion dollar company, and the reason for that is because, as you know, the foundatio…”
Huang: OpenAI's revenue would scale 10x with 10x compute capacity
“First of all, if OpenAI currently has twice the capacity, their revenues would double. You guys know that. If they have 10 times the capacity, I really believe their revenues would 10 times.”
Lloyd: OpenAI Will Subsume Best ChatGPT Apps Using Platform Data
“I don't know if you saw OpenAI Dev Day yesterday, but they're clearly doing this platform play within ChatGPT now where it's like you have apps within ChatGPT. I'm sure they'll use that data to Sort of subsume or take over whatever the best first party integra…”
Patel: OpenAI's Model Is First US Open-Source Leader Since Llama 3.1 405B
“It's the first time America's had the best open source model in six months, nine months, a year. Llama, 3.14 or five B was the last time we had the best model.”
Patel: OpenAI o1 and o3 share basic architecture with GPT-4o
“For a long time, OpenAI was charging more per token for the reasoning model, right, O-one and O-three than they were for GPT-Four-O, even though the architecture is, like, basically the same. It's just the weights are different.”
Mitchell: AI reasoning improvements will not be limited to math and code
“So like there, I think there's some reason for spikiness, but I think some people will probably go too far with this and saying like, oh yes, these models will only be really good at math and code. And like, not, you know, like everything else is like, you can…”
McKinzie: General reasoning models could unify with robotics foundation models
“And I personally don't see any reason why we couldn't have this, these be this, the same model.”
Hendrycks: Adversaries Can Spy on Top AI Labs via Slack Zero-Day Exploits
“All they need to do is do a zero day on Slack. And then they can know what DeepMind is up to in very high fidelity and OpenAI and XAI and others.”
Guo: DeepSeek app surge driven by curiosity and hype, not capability
“And there's a competing view, which is just like, well, like this whole drama is quite interesting and people are trying it as much because like they want to see what the leading Chinese AI model is like, if it's as good as open AI and anthropic and such. I de…”
Taylor: Large consumer giants like Apple, Google, and OpenAI will dominate personal agents
“My take is the domain of personal agents is probably of the very large consumer companies like Apple and Google and OpenAI and others that have big consumer brands.”
Peebles: Training AI on raw video is essential for robotics
“There's so much you learn from video, which you don't necessarily get from other modalities, which companies like OpenAI have invested a lot in the past, like language, you know, like the minutia of like how arms and joints move through space, you know, again,…”
Alexandr Wang: Multimodality is a lateral move; the industry needs smarter models.
“So, you know, we got multi-modality capability.
That's exciting.
It's more of a lateral expansion of the models, and the industry needs smarter models.
We need GPT-V, or we need Gemini-II, or whatever that, those models are going to be.
and so to me it was, y…”
Brooks: Sora learned 3D spatial understanding purely from raw 2D video
“We didn't explicitly bake three D information into it whatsoever. We just trained it on video data and it learned about three D because three D exists in those videos.”
Brooks: The best way to scale intelligence is simple data prediction
“What works really well as you increase scale is just predict data. And that's what we do with text. We just predict text. And that's exactly what we're doing with visual data with Sora, which is we're not making some complicated trying to figure out some new t…”
Peebles: Training on raw video is essential for future embodied robotics
“So you learn so much about the physical world just from training on raw video that we really believe that it's going to be essential for
things like physical embodiment moving forward.”
Brooks: Sora represents the 'GPT-1' stage of generative visual models
“I think where we are in the trajectory of Sora right now is like, this is the GPT-I of these, this new paradigm of visual models, and that we're really looking at the fundamental research into making these way better, making it a way better engine that can pow…”
Peebles: Sora is the first visual model with LLM-like breadth
“And so this is really the first generative model of visual content that has breadth in a way that language models have breadth.”
Peebles: Generative video models are on the critical path to AGI
“Yeah, we absolutely believe models like Sora are really on the critical pathway to AGI.”
Guo: Microsoft's Inflection Deal Is a Strategic Hedge Against OpenAI Reliance
“Now, they're clearly still working with OpenAI, given, like, direct statements from both companies and the Stargate Data center effort, but it's also hard from the outside not to see this as somewhat of a hedge, right? Not in a criticism of OpenAI, but you kno…”
Gil: Incumbent tech companies will capture most near-term AI market value
“But at least for the next few years, it seems like where we're going to see that Really huge market cap incremental add maybe companies like OpenAI and some of the model companies, but also it seems like increasingly it's just going to be existing companies ad…”
Suleiman: OpenAI and Anthropic over-rotate on single-agent generality
“I think that's a good definition of intelligence, but I think in a weird way, it's over-rotated the entire field on one aspect of intelligence, which is generality, you know, and I think OpenAI and then subsequently Anthropic and others have taken up this defa…”
Gil: OpenAI Crisis Will Ultimately Strengthen Company and Stabilize Board
“And if anything, I think OpenAI kind of emerges more stable through this in ways that people didn't expect simply because there's going to be more stability at the board level in a way that people didn't understand perhaps that there could have been instabilit…”
Guo: OpenAI Staff Revolted to Protect $86B Tender Offer Value
“And then I think one thing that is often unsaid, because it's a little bit less idealistic, is that a lot of OpenAI people were very upset this last week about Not just the destruction of the mission, which I think was absolutely, like, genuine, but also destr…”
Sutskever: AI data centers could surpass human intelligence within a decade
“It doesn't seem implausible. It doesn't seem at all implausible that we will have computers, data centers that are much smarter than people. And by smarter, I don't mean just have more memory or have more knowledge, but I also mean have deeper insight into the…”
Sutskever: AGI requires massive compute engineering projects, not small research efforts
“Because if you imagine how an AGI should look like, it has to be some kind of a big engineering project that's using a lot of compute, right? Even if you don't know how to build it, what that should look like, you know that this is the ideal you want to strive…”
Sutskever: Training will deepen AI insight into the human world
“As we train them, they gain more and more insight into the true nature of the human world. And their insight will continue to deepen.”
Sutskever: AI scaling faces near-term data limits, but research will overcome them
“So the most near term limit to scaling is obviously data. This is well known and some research is required to address it. Without going into the details, I'll just say that the data limit can be overcome and progress will continue.”
Sutskever: Reliability is the biggest bottleneck to truly useful AI models
“I would actually point out that the main thing that's lost when you switch to the smaller models is reliability. I would argue that at this point it is reliability that's the biggest bottleneck to these models being truly useful.”
Sutskever: A nonprofit cannot build large compute clusters for frontier AI
“The appetite for compute is truly endless as now clearly seen, but we realized that we will need a lot. And a nonprofit was, wouldn't be the way to get there. Wouldn't be able to build a large cluster with a nonprofit.”
Sutskever: The most surprising AI emergent behavior is feeling understood when speaking to it
“I think maybe the most surprising, if I had to pick one, it would be the fact that when I speak to it, I feel understood.”
Biewald: 95% Of ML Developers Are Using OpenAI's GPT Models
“Like I see like 95% of the people out there, you know, using GPT for these ML tasks.”
OpenAI and Anthropic over-rotated on building single-agent systems
“I think in a weird way, it's over rotated the entire field on one aspect of intelligence, which is generality, you know, and I think open AI and then subsequently anthropic and others have taken up this default sort of mantra that like it, all that matters is …”