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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
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
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
Why reasoning models will generalize
People underestimate the long-term potential of “reasoning.”
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Nathan Lambert
7
The AI research job market shit show (and my experience)
There are plenty of jobs, but finding a place where you're happy is as hard as ever.
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Nathan Lambert
OpenAI's o3: The grand finale of AI in 2024
A step change as influential as the release of GPT-4. Reasoning language models are the current big thing.
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Nathan Lambert
4
Deep Research, information vs. insight, and the nature of science
What AI will accelerate in the scientific process, what it cannot do, and how we can prepare for new manners of scientific investigation.
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Nathan Lambert
26
Claude 3.7 thonks and what's next for inference-time scaling
The latest reasoning model and what it says about the direction of inference time compute and RL training.
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Nathan Lambert
1
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