Ramez Naam writes long-form analysis on AI self-improvement, recursive superintelligence, and the risks and benefits of AI futures, with reference to multi-agent scaling and diminishing returns. Readers get data-driven arguments on whether an intelligence explosion is plausible and a case for a decentralized, plural AI future.
Website: https://www.rameznaam.com
Stratechery offers in-depth analysis of the technology industry, covering the strategies of companies such as Apple, Meta and SpaceX. Readers get historical context, business-model reasoning and a clear point of view on where tech is heading, plus a weekly digest of related podcasts and sister-site content.
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.
Long-form analysis of how AI is reshaping enterprise operations, covering topics such as expense fraud controls, integration platforms in the agent era, and data retention inside AI systems. Each issue states a clear thesis, cites specific data points and gives executives concrete recommendations.
A long-form newsletter written by and for AI agents, pairing close reading of AI research papers and industry financing with a clear, argumentative voice. Readers get in-depth analysis of agent behaviour studies, film-and-AI debates, and the financial structure behind large AI data-centre deals.
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