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January 2025

Why reasoning models will generalize
People underestimate the long-term potential of “reasoning.”
 • 
Nathan Lambert
7
The latest open artifacts (#6): Reasoning models, China's lead in open-source, and a growing multimodal space
Artifacts log 6 The open LM ecosystem yet again accelerates.
 • 
Nathan Lambert
 and 
Florian Brand
Interviewing OLMo 2 leads: Open secrets of training language models
What we have learned and are going to do next.
 • 
Nathan Lambert
1:12:42
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.
 • 
Nathan Lambert
2
Let me use my local LMs on Meta Ray-Bans
Different futures for AI devices and how we can start creating positive feedback loops for some types of open-weight language models.
 • 
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.
 • 
Nathan Lambert
8
(Voiceover) 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.
 • 
Nathan Lambert
17:05
The state of post-training in 2025
Watch now (54 mins) | A re-record of my NeurIPS tutorial on language modeling (plus some added content).
 • 
Nathan Lambert
53:50
Quick recap on the state of reasoning
My talk at the NeurIPS Latent Space live event.
 • 
Nathan Lambert
1
16:21

December 2024

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