Who is on this subjectordered by the date of their first quote here
Every lane here carries 5 quotes or more. Offsets are days from the middle first-quote date, 12 Nov 2024 — a date, and nothing else. It is not a claim about who reached a view first.
- Dylan Patel 5 12 Nov 2024 – 13 May 2026 +0 d
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Gavin Baker
6
4 Jan 2025 – 9 Dec 2025
+53 d
The chronologysourced and dated, oldest first
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Dylan Patel
Patel states OpenAI's o1 reasoning model increases average sequence length because it reasons before outputting.
“This is really important because with reasoning models like OpenAI's o one, the average sequence length grows a lot.”
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Dylan Patel
Patel reveals o1's reasoning process sometimes switches between Chinese and English during hidden thinking phase.
“It generates tons of things. It's like it it sometimes switches between Chinese and English. Right? Like, whatever it is. It's thinking. Right?”
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Gavin Baker
Baker identifies three axes of AI scaling: pretraining, inference time compute, and now reasoning as the third multiplicative dimension.
“And then we started scaling around inference time compute. And it's very clear that we have now added a third axis of scaling performance, and that is reasoning.”
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Dylan Patel
Patel illustrates that language models historically failed at basic math comparisons without reasoning capabilities.
“And it would say, yes. It's bigger. Even though, like, everyone knows that nine dot one one is is way smaller than nine dot nine.”
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Dylan Patel
Patel explains GPT-5 will combine massive pre-training and post-training scale for the first time.
“Along the way, another team at OpenAI made the big breakthrough of reasoning. Right? Strawberry training. And they released o one, and then they released o three.”
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Gavin Baker
Baker says ARC AGI scores jumped from 8% to 95% in three months with reasoning models.
“The reason we've had all this progress, maybe we could show like the ARC AGI slide where you had zero to eight over four years, zero to 8% intelligence, and then you went from 8% to 95% in three months when the first reasoning model came out from OpenAI.”
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Gavin Baker
Baker argues reasoning saved AI by enabling progress during an 18-month gap when Blackwell delays would have halted everything.
“Had reasoning not come along, there would have been no AI progress from mid twenty twenty four through essentially Gemini three. There would have been none. Everything would have stalled.”
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Gavin Baker
Baker argues reasoning models saved AI by bridging an eighteen-month gap while Blackwell was delayed.
“Had reasoning not come along, there would have been no AI progress from mid twenty twenty four through essentially Gemini three. There would have been none.”
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Gavin Baker
Baker explains Blackwell's complexity created deployment challenges that reasoning models had to bridge.
“Had reasoning not come along, there would have been no AI progress from mid twenty twenty four through essentially”
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Gavin Baker
Baker argues reasoning models saved AI from an eighteen-month progress gap during Blackwell delays.
“Had reasoning not come along, there would have been no AI progress from mid twenty twenty four through essentially Gemini three.”
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Dylan Patel
Patel predicts reasoning chains will close as AI response times extend from immediate to hours or days.
“And then as the horizon of AI models gets longer, right, rather than a question answer immediately, the question answer becomes ten minutes, hours, days, the value of all the reasoning is gone.”
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