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 15 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
Brown: GPT-4.5 Likely Has Trillions of Parameters Enabling Sparse Connections
“GPT, 4.5 is like ginormous model, trillions of parameters, most likely. And that like, there's more room in the model to have these like little sparse connections materialize as you go through layers of the transformer. And I just haven't seen anything like th…”
Will Brown: AI scaling faces diminishing returns on capital investment
“The quality bump over things that are much smaller is just like the, we're hitting diminishing returns on capital investment is a lot of it. Like they're taking out of the API because like the, they can sell other things with the same GPUs and make more money …”
Will Brown: Nobody will run Meta's giant model for daily tasks
“When Meta releases this behemoth model, I don't think anyone's really gonna run behemoth. For like their day to day stuff. It's just probably not gonna be worth it.”
Will Brown: Effective agentic AI will work well on small models
“That's kind of like my bet is like, people are going to really want to train models to be agents. And I think you can get that to work well with a pretty small model.”
Brown: OpenAI's o3 qualifies as 10-minute AGI
“I'm happy to call O three, 10 minute AGI. And I think like framing AGI in terms of like length of time, it takes a human to do a task is like more reasonable than like a global framing. Like, sure. There's a bar of like drop and replace for a human that we are…”
Brown: Most Enterprise AI Pilots Are Structurally Designed to Churn
“Most of these pilots are very much intended to be churned. Like, they're not, they're very much in a, they're not being rolled out broadly. They are coming through in a kind of walled off environment for people who are, like, gonna be the beta testers.”
Brown: DeepSeek serves all of China on 2,000 GPUs
“Like Deep Seek is serving all of China on 2000 GPUs.”
Will Brown: OpenAI o3 succeeds because reinforcement learning enables tool use
“The reason O-three is good is because it's trained to use tools. The way you train a model to use the right tool for the job is reinforcement learning. And they've said as much, like, deep research, reinforcement learning.”
Brown: Windsurf Succeeds Against Cursor by Prioritizing Enterprise Integration
“A reason that Windsurf has been successful as a Cursor competitor is they lean way harder on enterprise than Cursor has. Like, they have really designed for enterprise integration, whereas Cursor really has not.”
Brown: DeepSeek's efficiency comes from stacking 10 to 15 compound gains
“I mean, to me, the surprising thing was not any individual one thing. It's that each of these is maybe like a 30%, 50% gain, but they have like 10, 15 of them that all stack. And so getting all of these to stack nicely is what's hard.”
Brown: Alibaba Qwen makes the best model suites for research
“Like they make, I think, still the best model suites for like doing research.”
Brown: OpenAI's o3 already achieves practical program synthesis
“Like when people say program synthesis, like we're already there, like O three is program synthesis, but the programs are like JSON and Python.”
Will Brown: Microsoft PowerPoint Copilot is not great
“The PowerPoint, like, Microsoft PowerPoint copilot is not great. It's not a thing that I have heard many people say saves them up time.”
Brown: AI alpha is buried in GitHub issues, X, and group chats, not LinkedIn
“There's a surprising lot of alpha still on X just from places where you don't like, so there's places I have not found much alpha on LinkedIn. The group chats, the anons the open source like GitHub discussions, lots of really good stuff is buried in like a Git…”