The Ledger
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Chollet: 50,000x LLM scaling yielded flat progress on ARC benchmark
“Because between, like, GPT-II and GPT-IV. There's been this 50,000 X scale up of base models that has resulted in, in, in basically a flat curve. On Arc.”
DeepSeek's architecture is still built on a GPT-2 scaffold
“And you can actually, in fact, Take a GPT one or two model and with a few, I mean, few lines of code almost, you can transform it into the latest let's say deep seek version, 3.2 architecture. It's not like a big leap. It's still the same as scaffold.”