A researcher shares a paper proposing persistent homology as a multi-scale framework for characterising the topology and geometry of LLM latent spaces, with findings on adversarial influence. The newsletter is a brief announcement of that work, promising a longer post later.
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Astral Codex Ten publishes long-form essays on AI safety, rationality, politics, science and culture, alongside reader-written book reviews and weekly open threads. Readers get argumentative, carefully reasoned analysis plus community news such as meetups, surveys and grant-related projects.
In-depth analysis of the semiconductor and AI infrastructure industries, covering chips, software stacks, datacenter buildout and equipment makers. Readers get original research, proprietary data and company-level conclusions on how hardware trends affect business.
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Long-form technical overviews that explain important AI research topics, such as LLM evaluation, post-training and reinforcement learning. Readers get first-principles explanations plus practical implementation details drawn from papers and tech reports.
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