Open vs Closed AI Ecosystems

What We’re Tracking #

The evolving conflict and interplay between open-source AI models (LLaMA, Mistral, DeepSeek, Qwen) and closed-source models (Anthropic, OpenAI, Google). Covers safety implications of open weights, licensing debates, competitive dynamics, access and democratisation arguments, innovation pace differences, and the regulatory dimension. Focus on substantive analysis of tradeoffs, not cheerleading for either side.

Config: journals/topics/config/open-vs-closed-ecosystems.yaml

How this journal works #

Gathered every 7 days: a web search on this topic (8 search terms, plus watched authors (yann lecun, percy liang)) skips links already in the journal and writes one dated entry of what’s new, with links to related topics. Preferred sources: arxiv.org, news.ycombinator.com, technologyreview.com, theguardian.com, crfm.stanford.edu, cset.georgetown.edu.

Strategy Changelog #