Prediction certainty 4/5 debate potential 3/5

Lambert: Big tech will realize 95-98% of LLM potential by 2030

Nathan Lambert · Open Source AI Strikes Back — Inside Ai2’s OLMo 3 ‘Thinking" · Nov 20, 2025 · at 1:24:19

Nathan Lambert, AI researcher at the Allen Institute for AI (Ai2), discusses the multi-year trajectory of language model deployment and scaffolding by major tech companies.

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“I think that how I describe it is that big tech has all collectively realized that these language models plus scaffolding is going to unlock absolutely incredible value. And I have very high probability, barring extreme geopolitical situations, that big tech Executes on this vision across the two to five years to build. 95 to 98% of the way there of what you can do with our physical power constraints and what an LLM's ability is. And I think that that will be extreme. Like the transformation from that by 2030 is going to be so powerful across society.”

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More from Nathan Lambert

Assertion Not checkable as stated
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Prediction Not checkable as stated
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Assertion Not checkable as stated
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“This base model is similar in quality to the best available, which is like Quinn's 2.5, 32 B is, was still the best base model.”
Nathan Lambert Nov 20, 2025 ▶ 4:06 Open Source AI Strikes Back — Inside Ai2’s OLMo 3 ‘Thinking"
Assertion Not checkable as stated
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“And I just think of this cause like Lama 3.1 AP is one of the most used models and hugging base of all time. And this should be better. We're, In our measurements, we see it as being better than Llama.”
Nathan Lambert Nov 20, 2025 ▶ 4:54 Open Source AI Strikes Back — Inside Ai2’s OLMo 3 ‘Thinking"
Assertion Partly supported
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Nathan Lambert Nov 20, 2025 ▶ 17:01 Open Source AI Strikes Back — Inside Ai2’s OLMo 3 ‘Thinking"
Assertion Not checkable as stated
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“Mediumly large, like billion dollar plus valuation companies in China will just like pirate SaaS software.”
Nathan Lambert Nov 20, 2025 ▶ 18:47 Open Source AI Strikes Back — Inside Ai2’s OLMo 3 ‘Thinking"
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