Interconnects
20 articles archived · Visit source ↗ · RSS
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Interconnects research 1d ago
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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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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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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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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Opus 4.6, Codex 5.3, and the post-benchmark era
On comparing models in 2026.
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