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The rise of reasoning machines
And a debate that doesn't warrant repeating.
 • 
Nathan Lambert
What comes next with reinforcement learning
Scaling RL, sparse rewards, continual learning, and the progress wall when pretraining really stops.
 • 
Nathan Lambert
2
How I Write
Therein how I think, how AI impacts it, and how writing reflects upon AI progress.
 • 
Nathan Lambert
4
A taxonomy for next-generation reasoning models
Where we've been and where we're going with RLVR.
 • 
Nathan Lambert
3

May 2025

Latest open artifacts (#10): New DeepSeek R1 0528!, more permissive licenses, everything as a reasoner, and from artifacts to agents
Artifacts Log 10.
 • 
Nathan Lambert
 and 
Florian Brand
Reinforcement learning with random rewards actually works with Qwen 2.5
Making sense of research casting doubt on the potential of RLVR and where I'm optimistic for the next phase of scaling.
 • 
Nathan Lambert
Claude 4 and Anthropic's bet on code
Reasons to be optimistic and pessimistic on Anthropic's future.
 • 
Nathan Lambert
People use AI more than you think
And businesses too. The most important trend in AI that gets washed away from between the headlines.
 • 
Nathan Lambert
2
My path into AI
How I got here. Building a career brick by brick over 8 years.
 • 
Nathan Lambert
1
What people get wrong about the leading Chinese open models: Adoption and censorship
Narrative violations on licenses, adoption, and censorship.
 • 
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.
 • 
Nathan Lambert
1

April 2025

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