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
Marcus: Models like o1 are not systematically better than GPT-4
“Models like O-I are not systematically better than GPT-IV. There's, they're better in certain use cases. Especially ones where you can create data in advance.”
Suleyman: GPT-4 and GPT-4o Efficiency Will Improve 100x
“So I expect that to happen for GPT-IV, GPT-IV-O and all of the other models down the road.”
Srinivas: Anthropic will release a model better than GPT-4 in 2024
“I actually think they will end up creating a model better than GPT-IV this year. Like, it, it's sort of almost guaranteed to happen. So I believe it's going to happen with CLAW-III.”
Ramaswamy: GPT-4 and Claude are a clear step ahead of open source models
“The blunt truth is that the very best of the models out there, whether it's GPT-IV or Claude's biggest model, are a clear step ahead of the pack when it comes to quality. When it comes to reasoning, when it comes to the quality of the text that they produce th…”
Lightcap: GPT-5 bakes in tool use and longer-horizon reasoning
“So using tools, for example, is something that really thinks really important for overall intelligence, GPT two and three couldn't really do that as well. GPT-IV could do it in a more nascent way. And now GPT-V, you get that baked in with the benefit of these …”
Patel: GPT-4-Level Training Costs Have Dropped 10x to 100x
“If you look at what it costs to train GBT for originally, I think it was like 20,008, 100 over the course of a hundred days. So I think it costs on the order of like half a million to a hundred million dollars, somewhere in that range. And I think you could tr…”
Patel: Model inference costs dropped 60x from GPT-4 to DeepSeek-V3
“And likewise, when we look at from GPT-IV to DeepSeq VIII it's fallen roughly 600 X in cost. Right. So we're not quite at that 1200 X, but it has fallen 600 X in cost from 60 dollars to less than you know, to about a dollar. Right. Or to less than a dollar. So…”