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Thinking, Searching, and Acting
A reflection on reasoning models.
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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
79
8
Latest open artifacts (#14): NVIDIA's rise, "Swiss & UAE DeepSeek," and a resurgence of open data
While Qwen takes some rest, others continue to fuel the open model space.
Sep 11
•
Nathan Lambert
and
Florian Brand
12
On China's open source AI trajectory
Notes and predictions for the next phase of Chinese (open) AI models.
Sep 9
•
Nathan Lambert
38
Ranking the Chinese Open Model Builders
From the obvious names to those to keep an eye on.
Aug 17
•
Nathan Lambert
and
Florian Brand
61
Contra Dwarkesh on Continual Learning
Don't try to make your airplane too much like a bird.
Aug 15
•
Nathan Lambert
100
48
Latest open artifacts (#13): The abundance era of open models
Mostly thanks to Qwen, but now we're spoiled for choice and winds are shifting.
Aug 11
•
Nathan Lambert
and
Florian Brand
23
1
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Artifacts Log
View all
Latest open artifacts (#14): NVIDIA's rise, "Swiss & UAE DeepSeek," and a resurgence of open data
While Qwen takes some rest, others continue to fuel the open model space.
Sep 11
•
Nathan Lambert
and
Florian Brand
12
Latest open artifacts (#13): The abundance era of open models
Mostly thanks to Qwen, but now we're spoiled for choice and winds are shifting.
Aug 11
•
Nathan Lambert
and
Florian Brand
23
1
Latest open artifacts (#12): Chinese models continue to dominate throughout the summer 🦦
Artifacts Log 12.
Jul 22
•
Nathan Lambert
and
Florian Brand
24
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
Interviews
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1:14:40
Interviewing Ross Taylor on the state of AI: Chinese open models, scaling reasoning, useful tools, and what comes next
Listen now | Interconnects Interview #14. Ross's second time on the show.
Jul 29
•
Nathan Lambert
25
1
1:09:22
Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL
#13. Reinforcement learning fundamentals and scaling.
Mar 12
•
Nathan Lambert
22
1:12:42
Interviewing OLMo 2 leads: Open secrets of training language models
#12 What we have learned and are going to do next.
Jan 22
•
Nathan Lambert
17
1:08:32
Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning
Listen now | Interconnects interview #11. An overview on the past, present, and future of RL.
Dec 5, 2024
•
Nathan Lambert
and
Finbarr Timbers
14
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