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
Assertion Contradicted
Hill-Smith: Google used unpublished 32-shot CoT to claim Gemini beat GPT-4
“Back when I'm Googled a Gemini one when I ultra and needed a number that would say it was better than GPT four. And Like, constructed I think never published, like, chain of thought examples, 32 of them in every topic in MLU to run it, to get the score.”
Assertion Partly supported
Lambert: OLMo 32B roughly matches original GPT-4 level while fully open
“Like Olmo-Thirty-Tube is if you squint like original GPT-IV level and fully open.”
Assertion Supported
Scialom: Llama 3 405B is the best open-source model ever released
“At a high level, it's the best open source model ever. It's Better than GPT-IV. I mean, what version? But, by far, compared to the version originally released even now, I think there's maybe the last cloud Sonya FF-V and GPT-IV-Zero that are performing it.”
Assertion Partly supported
Retool survey found GPT-4V NPS was around 14 vs 45 for GPT-4
“GPT-IV.V. MPS, I want to say it was, like, 14 or something, like, it was, like, not high, actually. But the GPT-IV MPS thing was, like, 45 or something like that”
Assertion Partly supported
Swix: AI Inference Costs for Fixed Intelligence Fall 100x Annually
“The cost of intelligence for a given set of intelligence, let's say GPT-IV, let's say O-one, whatever, it is literally falling a hundred X over the course of one year.”
Assertion Partly supported
Polu: GPT-4 was ready internally at OpenAI months before September 2022
“I had seen GPT-IV internally at the time. It was September, 20, 22. So it was pre-chat GPT, but GPT-IV was ready since, I mean, I'd been ready for a few months internally.”
Assertion Supported
Lambert: GPT-4 achieves 80% preference labeling agreement versus 70% for humans
“Essentially, people also think that synthetic data is, like, GPT-IV is more accurate than humans at labeling preferences, so if you look at these diagrams, like, humans are about 60 to 70% agreement, or, like, that's what the models get to, and if humans are a…”
Assertion Contradicted
Lambert: GPT-4 Turbo Gap Over Original GPT-4 Exceeds TÜLU 2 to GPT-4 Gap
“So it's like the difference from these, the GPT-IV Turbo to like the GPT-IV that was first released is bigger than the difference from Tulu-II to GPT-IV.”
Assertion Supported
GPT-4-level intelligence is now over 100 times cheaper than at launch
“The, like, one fact on that is that you can get intelligence at the level of GPT-IV for over a hundred times cheaper than GPT-IV was at launch right now.”
Assertion Contradicted
Wagner claims Flux shipped embedded AI chat before GPT-4 released
“So I think I'm going to claim here, I think we were the first engineering tool or design tool that had an AI chat in it. We shipped that I think a month or two months before GPT-IV became publicly available.”
Assertion Supported
Claude 3.5 wrote fire-and-forget code while GPT-4 used defensive programming
“Claude, for instance, the Sonnet 3.5 was very much fire and forget. It would write code in a kind of Pythonic way, just like, let it fail. Don't be careful about it. Whereas GPT four would use defensive programming, use self assertions.”
Assertion Partly supported
Eugene Yan: Ensembled LLMs outperform standalone GPT-4 for evaluation tasks
“So in this paper here by Kohir, what they did was they have a reference model, and this reference model is GPT-IV. And then essentially what they did was the ensemble command R, Haiku, and GPT-IV. And I can't remember what the I think the ensemble was just maj…”
Assertion Supported
Swyx: Distilling GPT-4 to Mini cut costs 15x with 2% hit
“Yeah, I sat in the distillation session just now, and they showed how they distilled from four to four mini, and it was like only like a two percent hit in the performance, and 15 X cheaper.”
Assertion Supported
Patel: SemiAnalysis reported GPT-4 mixture of experts architecture in January
“Just being clear, I talked about mixture of experts in January, it's just people didn't really notice it.”
Assertion Supported
Hu: SWE-bench scores jumped from 3% on GPT-4 RAG to 43%
“If we just use GPT-IV plus RAG, what do we get? It's, like, a measly three percent. And then up to the most recent submissions where they get up to 43%.”