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Ilya on deep learning in 2015
On vision and how to understand deep learning.
Jun 28
•
Nathan Lambert
81
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Ilya on deep learning in 2015
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Latest open artifacts (#11): Visualizing China's open models market share, Arcee's models, and VLAs for robotics
Artifacts Log 11.
Jun 26
•
Nathan Lambert
and
Florian Brand
12
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Latest open artifacts (#11): Visualizing China's open models market share, Arcee's models, and VLAs for robotics
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Some ideas for what comes next
As releases slow down, it's time to think about what we got this year and where we are going. o3's search, agent vs model progress, and scaling's…
Jun 23
•
Nathan Lambert
96
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Some ideas for what comes next
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2
What I've been reading (#1)
Splitting the links out from the artifacts log models & datasets series.
Jun 21
•
Nathan Lambert
72
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What I've been reading (#1)
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4
Crafting a good (reasoning) model
A recent talk I gave on model training, reasoning, and the next frontier.
Jun 18
•
Nathan Lambert
43
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Crafting a good (reasoning) model
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30:25
The rise of reasoning machines
And a debate that doesn't warrant repeating.
Jun 12
•
Nathan Lambert
72
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The rise of reasoning machines
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What comes next with reinforcement learning
Scaling RL, sparse rewards, continual learning, and the progress wall when pretraining really stops.
Jun 9
•
Nathan Lambert
56
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What comes next with reinforcement learning
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2
How I Write
Therein how I think, how AI impacts it, and how writing reflects upon AI progress.
Jun 6
•
Nathan Lambert
50
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How I Write
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4
A taxonomy for next-generation reasoning models
Where we've been and where we're going with RLVR.
Jun 4
•
Nathan Lambert
59
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A taxonomy for next-generation reasoning models
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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.
May 29
•
Nathan Lambert
and
Florian Brand
35
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Latest open artifacts (#10): New DeepSeek R1 0528!, more permissive licenses, everything as a reasoner, and from artifacts to agents
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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.
May 27
•
Nathan Lambert
80
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Reinforcement learning with random rewards actually works with Qwen 2.5
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Claude 4 and Anthropic's bet on code
Reasons to be optimistic and pessimistic on Anthropic's future.
May 27
•
Nathan Lambert
45
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Claude 4 and Anthropic's bet on code
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