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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.
Nov 24, 2023 • 
Nathan Lambert
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.
Jan 21 • 
Nathan Lambert
Behind the curtain: what it feels like to work in AI right now (April 2023)
Fear, FOMO, and the scientific exodus driven by ChatGPT
Apr 5, 2023 • 
Nathan Lambert
xAI's Grok 4: The tension of frontier performance with a side of Elon favoritism
An o3 class model, the possibility of progress, chatbot beige, and the illusiveness of taste.
Jul 12 • 
Nathan Lambert
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.
Jan 9 • 
Nathan Lambert
Burning out
The international AI industry's collective risk.
Oct 25 • 
Nathan Lambert
Coding as the epicenter of AI progress and the path to general agents
GPT-5-Codex, adoption, denial, peak performance, and everyday gains.
Sep 18 • 
Nathan Lambert
OpenAI's o3: Over-optimization is back and weirder than ever
Tools, true rewards, and a new direction for language models.
Apr 19 • 
Nathan Lambert
GPT-5 and the arc of progress
Overpromising will always lead to some sort of underdelivering, but what we're getting is still phenomenal.
Aug 7 • 
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.
Feb 28 • 
Nathan Lambert
5 Thoughts on Kimi K2 Thinking
Quick thoughts on another fantastic open model from a rapidly rising Chinese lab.
Nov 6 • 
Nathan Lambert
The American DeepSeek Project
What I think the next goal for the open-source AI community is.
Jul 4 • 
Nathan Lambert
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