📰 Interconnects
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⚡ AI Lessons

Interconnects
5d ago
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.

Interconnects
2w ago
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

Interconnects
2w ago
How open model ecosystems compound
Further reflections on China's high-participation, open-first AI ecosystem.

Interconnects
3w ago
Notes from inside China's AI labs
Lessons from my trip to talk to most of the leading AI labs in China.

Interconnects
3w ago
The distillation panic
‘Distillation attacks’ is a horrible term for what is happening right now.

Interconnects
1mo ago
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.

Interconnects
1mo ago
My bets on open models, mid-2026
What I expect to come next and why, focused on the open-closed gap.

Interconnects
1mo ago
What I’ve been building: ATOM Report, post-training course, finishing my book, and ongoing research
What I've been up to!

Interconnects
1mo ago
The inevitable need for an open model consortium
And yes, I hate consortia too.

Interconnects
1mo ago
Claude Mythos and misguided open-weight fearmongering
Another dance around fears of open-source.

Interconnects
1mo ago
Gemma 4 and what makes an open model succeed
Hint: it's not benchmark scores.

Interconnects
🧠 Large Language Models
⚡ AI Lesson
2mo ago
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

Interconnects
🧠 Large Language Models
⚡ AI Lesson
2mo ago
Lossy self-improvement
The case for why self-improvement is real but it doesn't lead to fast takeoff.

Interconnects
🧠 Large Language Models
⚡ AI Lesson
2mo ago
GPT 5.4 is a big step for Codex
On evaluating and understanding the frontier of agents, and why I still turn to Claude.

Interconnects
🧠 Large Language Models
⚡ AI Lesson
2mo ago
What comes next with open models
Markets, capabilities, cope, and bewilderment in the industrialization of language models.
Interconnects
🧠 Large Language Models
⚡ AI Lesson
2mo ago
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.

Interconnects
🧠 Large Language Models
⚡ AI Lesson
2mo ago
Olmo Hybrid and future LLM architectures
The latest Olmo model and discussions at the frontier of open-source post training tools.

Interconnects
2mo ago
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!

Interconnects
🧠 Large Language Models
⚡ AI Lesson
3mo ago
How much does distillation really matter for Chinese LLMs?
Reacting to Anthropic's post on "distillation attacks."

Interconnects
🧠 Large Language Models
⚡ AI Lesson
3mo ago
Open models in perpetual catch-up
The open-closed gap, distillation, innovation timescales, how open models win, specialized models, what’s missing, etc.

Interconnects
3mo ago
Opus 4.6, Codex 5.3, and the post-benchmark era
On comparing models in 2026.
Interconnects
🧠 Large Language Models
⚡ AI Lesson
3mo ago
Why Nvidia builds open models with Bryan Catanzaro
Interconnects interview #17 on the past, present, and future of the Nemotron project.

Interconnects
🧠 Large Language Models
⚡ AI Lesson
3mo ago
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.

Interconnects
🧠 Large Language Models
⚡ AI Lesson
4mo ago
Thoughts on the job market in the age of LLMs
On standing out and finding gems.
DeepCamp AI