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Topic
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Open weight models
AI models whose parameters are publicly available for research and development.
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episodes
2
thinkers
4h
of conversation
2
books & papers
3
terms defined
The neighbourhood: open weight models and the ideas it travels with. Drag to roam, click a star for the episode, click a neighbour to travel.
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The lexicon
Every term the guests lean on, in plain language. Read one in full, or filter to find it.
What the corpus says
The throughline across every conversation that touches this idea.
DeepSeek's R1 model set a new benchmark in 2025 by achieving state-of-the-art performance at reduced compute costs.
Chinese AI firms like Z.ai are gaining ground with open-weight models, challenging DeepSeek's dominance.
GPT-5.2's context score improvement from 30% to 70% highlights significant algorithmic advances.
Reinforcement Learning with Verifiable Rewards (RLVR) can dramatically improve model accuracy in just 50 steps.
The AI ecosystem in China is rapidly advancing, with multiple open-weight models emerging in 2026.
Voices on open weight models
9 standout quotes from across the corpus.
Go read
2 books and papers cited across these episodes.
For the specialist
What experts find new
3 expert-level takeaways for a specialist reader.
At the frontier
Still unresolved
2 open questions flagged across these conversations.
The thinkers
Who takes this idea on, by how often they return to it.