Interconnects (Nathan Lambert)
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Interconnects (Nathan Lambert) research 1d ago
I wrote an AI textbook — how long until AI can do it better?
Reflections on AI's writing ability and how AI models get more capable.
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5 useful things you'll learn in my new post-training textbook (shipping now!)
After a few long years of finding time to document my lessons from training open models, my post-training book is done!
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Lessons from the hacks
Musings on model alignment, what determines safety, and where we go from here.
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Introducing our Artifacts Hub and Adoption Dashboard
Scaling our curation and measurement of the open ecosystem.
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Latest open artifacts (#23): Laguna S2.1, Inkling, & Kimi K3 show the utility of open models on the Pareto frontier
Capacity to train strong models is proliferating.
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Open models recap: more on Kimi K3, Qwen 3.8, Xi's WAIC speech, distillation, the open-closed gap, and what's next
A podcast with Florian Brand.
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Kimi K3: The open-weights escalation
The global implications on the AI ecosystem.
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6 months to live for open models
The most serious test to date of open source AI’s viability is happening right now.
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Artifacts 22: Zyphra, Cohere, and Poolside are expanding the breadth of the ecosystem
An assessment of the open ecosystem and the motivations behind releasing models
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GLM-5.2 is the step change for open agents
A capability threshold I've been carefully monitoring.
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Banning Open Source AI Would Be A Mistake
This post was originally an op-ed co-authored with Kevin Xu of Interconnected for a general, non-technical audience.
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State of the blog, mid-2026
About 3 years since I started writing weekly.
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Frontier post-training recipe review with Finbarr Timbers
"Interview" #18
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Welcome to the AGI era of AI governance
It's a one-way door and we weren't ready for it.
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Claude Fable 5 and new AI safety fables
One step further into the power politics of frontier AI systems.
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Farewell Ai2
This was my last week at the Allen Institute for AI (Ai2), where I got the great privilege to work on the Olmo models, to grow, to learn, and to have broad lasting impacts.
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Open and closed models are on different exponentials
Where marginally higher intelligence drives value, and where it doesn't.
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Some ideas for what comes next, May 2026
Gemini Flash 3.5, Mythos, open-closed balance, America's open-source surge, emerging power struggles and more.
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Latest open artifacts (#21): Open model bonanza! Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, GLM-5.1 & others. On CAISI's V4 assessment.
An eventful month with one flagship release after another
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How open model ecosystems compound
Further reflections on China's high-participation, open-first AI ecosystem.
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Notes from inside China's AI labs
Lessons from my trip to talk to most of the leading AI labs in China.
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The distillation panic
‘Distillation attacks’ is a horrible term for what is happening right now.
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Reading today's open-closed performance gap
The complex factors that determine the single evaluation number so many focus on. Plus, how this changes in the future.
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My bets on open models, mid-2026
What I expect to come next and why, focused on the open-closed gap.
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What I’ve been building: ATOM Report, post-training course, finishing my book, and ongoing research
What I've been up to!
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The inevitable need for an open model consortium
And yes, I hate consortia too.
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Claude Mythos and misguided open-weight fearmongering
Another dance around fears of open-source.
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Gemma 4 and what makes an open model succeed
Hint: it's not benchmark scores.
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Latest open artifacts (#20): New orgs! New types of models! With Nemotron Super, Sarvam, Cohere Transcribe, & others
New orgs! New types of models! With Nemotron Super, Sarvam, Cohere Transcribe, & others
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Lossy self-improvement
The case for why self-improvement is real but it doesn't lead to fast takeoff.
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GPT 5.4 is a big step for Codex
On evaluating and understanding the frontier of agents, and why I still turn to Claude.
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What comes next with open models
Markets, capabilities, cope, and bewilderment in the industrialization of language models.
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Dean Ball on open models and government control
Subtle precedents on the future of open models set by the unfolding Anthropic v. Department of War case.
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Olmo Hybrid and future LLM architectures
The latest Olmo model and discussions at the frontier of open-source post training tools.
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Latest open artifacts (#19): Qwen 3.5, GLM 5, MiniMax 2.5 — Chinese labs' latest push of the frontier
Welcome to the year of the horse!
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How much does distillation really matter for Chinese LLMs?
Reacting to Anthropic's post on "distillation attacks."
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Open models in perpetual catch-up
The open-closed gap, distillation, innovation timescales, how open models win, specialized models, what’s missing, etc.
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Opus 4.6, Codex 5.3, and the post-benchmark era
On comparing models in 2026.
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Why Nvidia builds open models with Bryan Catanzaro
Interconnects interview #17 on the past, present, and future of the Nemotron project.
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