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 13 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 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
Gavin Baker: Selling deprecated Nvidia GPUs to China delays Chinese semiconductor independence
“I think selling in deprecated Nvidia GPUs to China. Lowers the odds of them developing their own alternative ecosystem, which would be a lot power hungrier because you use optical, you bring in optical a lot earlier for scale up fabrics.”
Baker: Nvidia is functioning as the central bank of AI
“In some ways, NVIDIA is kind of becoming the central bank of AI. The Federal Reserve of AI. That is like a way to kind of conceptualize what they are doing. And in the same way, the federal reserve, like a lot of monetary policy, it works through private banks…”
Gavin Baker: Open-source AI shifts economic value to infrastructure providers
“They're awesome for the AI infrastructure providers. They just shift economic value from the margins of the frontier labs to the infrastructure.”
Baker: Portfolio managers automatically dump stocks that break their IPO price
“There are a lot of portfolio managers who, if a stock breaks deal price, they sell it no matter what. They consider it a promise that was broken.”
Baker: Private investors appease founders to secure future round allocation
“Private investors are often selling to management teams. And at some level that can mean telling management teams what they need to hear, because you want to be able to keep participating in the rounds.”
Baker: AI hardware sector valuations are cross-sectionally inefficient and inconsistent
“Cross-sectionally, if you look at the valuations for all these AI names, they just, they can't all be accurate... The AI market is cross-sectionally inefficient right now, which is what I was trying to say.”
Baker: Low-cost token production will provide a major competitive advantage in AI
“Being the low-cost producer is really going to matter in AI because at some level, the amount of tokens you produce is intelligence because of test time compute you know, post-training reinforcement learning, and so if you can produce those tokens at a lower c…”
Baker argues winning AI companies must own their compute infrastructure
“The ultimate AI winner will be the one with the lowest cost of infrastructure costs, the lowest cost of compute. And definitionally, you can't be the low cost provider if you're renting your compute from someone else.”
Baker: Open-source AI models make frontier AI tokens more valuable
“Open source makes frontier tokens more valuable.”
Baker: Divergent Chinese open-source model architectures favor Nvidia GPUs
“If you look at the underlying architectures of the three, what I call big Chinese open source models, and maybe even through a few, or four, You know, if we have Quinn, if we have Kimmy, if we have DeepSeq, and then we have GLM, they're actually evolving in ve…”
Baker: Closed model dominance creates a tough environment for software companies
“A world where Anthropik, OpenAI, and, you know, maybe even SpaceX are kind of the only model providers that dominate the model layer, that is a hard world for software.”
Baker: Broadly applicable biotech platforms produce rare $100B+ outcomes
“If you ever get a biotech company that can become a platform and they have a mechanism, whether it's of drugging, whether it's targeting, if you have something that is broadly applicable, that is when you can get these really, really big hundred billion dollar…”