Interconnects AI

Interconnects AI

February 2026

How much does distillation really matter for Chinese LLMs?
Reacting to Anthropic's post on "distillation attacks."
 • Nathan Lambert
Open models in perpetual catch-up
The open-closed gap, distillation, innovation timescales, how open models win, specialized models, what’s missing, etc.
 • Nathan Lambert
Opus 4.6, Codex 5.3, and the post-benchmark era
On comparing models in 2026.
 • Nathan Lambert
Why Nvidia builds open models with Bryan Catanzaro
Interconnects interview #17 on the past, present, and future of the Nemotron project.
 • Nathan Lambert
1:07:41
Latest open artifacts (#18): Arcee's 400B MoE, LiquidAI's underrated 1B model, new Kimi, and anticipation of a busy month
Tons of useful "niche" models and anticipation of big releases coming soon.
 • Florian Brand and Nathan Lambert

January 2026

Thoughts on the job market in the age of LLMs
On standing out and finding gems.
 • Nathan Lambert
Arcee AI goes all-in on open models built in the U.S.
Interconnects interview #16 to celebrate the release of Trinity Large.
 • Nathan Lambert
1:12:15
Get Good at Agents
The tools are getting so powerful that we need to change how we scope, manage, and approach our work.
 • Nathan Lambert
Use multiple models
The new meta for getting the most out of AI in 2026.
 • Nathan Lambert
Claude Code Hits Different
Coding agents cross a meaningful threshold with Opus 4.5.
 • Nathan Lambert
8 plots that explain the state of open models
Measuring the impact of Qwen, DeepSeek, Llama, GPT-OSS, Nemotron, and all of the new entrants to the ecosystem.
 • Nathan Lambert
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