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The Q* hypothesis: Tree-of-thoughts reasoning, process reward models, and supercharging synthetic data
Emergency special: The information we need to understand what Q* is was right in front of us, but the memes are more fun than reality.
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Nathan Lambert
5
Behind the curtain: what it feels like to work in AI right now (April 2023)
Fear, FOMO, and the scientific exodus driven by ChatGPT
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Nathan Lambert
21
DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs
Yes, ring the true o1 replication bells for DeepSeek R1 🔔🔔🔔. Where we go next.
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Nathan Lambert
2
DeepSeek V3 and the actual cost of training frontier AI models
The $5M figure for the last training run should not be your basis for how much frontier AI models cost.
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Nathan Lambert
8
OpenAI's o3: Over-optimization is back and weirder than ever
Tools, true rewards, and a new direction for language models.
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Nathan Lambert
GPT-4.5: "Not a frontier model"?
OpenAI's latest model raises more questions than answers, but no, the AI bubble isn't popping quite yet.
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Nathan Lambert
Reverse engineering OpenAI’s o1
What productionizing test-time compute shows us about the future of AI. Exploration has landed in language model training.
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Nathan Lambert
2
Qwen 3: The new open standard
A wonderful release, base models, reasoners, model size scales, and all before LlamaCon.
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Nathan Lambert
Why reasoning models will generalize
People underestimate the long-term potential of “reasoning.”
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Nathan Lambert
7
Llama 4: Did Meta just push the panic button?
One of the weirdest releases of the year and understanding the future of the Llama endeavor. For the time being, we have some more amazing open weight…
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Nathan Lambert
Sycophancy and the art of the model
GPT-4o-simp, LMArena backlash, and people refusing to understand how messy and crucial RLHF is.
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Nathan Lambert
1
Llama 2: an incredible open LLM
Meta is continuing to deliver high-quality research artifacts and not backing down from pressure against open source.
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Nathan Lambert
7
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