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 7 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
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 …”
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.”
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: 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: 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.”
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…”