Orbital Data Centers? — Food for Agile Thought #530

Welcome to the 530th edition of the Food for Agile Thought newsletter, shared with 35,729 peers. This week, Dwarkesh Patel and John Collison press Elon Musk on orbital data centers, power limits, space solar for cheaper AI within three years, while Itamar Gilad urges experiments without hype, since discovery, constraints, maintenance, and outcomes still rule. Roman Pichler outlines a product operating model with long-lived products and empowered teams. Also, Deb Liu shares charts on adoption, costs, and uneven gains, and Tom Geraghty ties status to busyness rather than impact.

Next, Stephanie Leue shows how a “clear” strategy still burns teams out when priorities multiply, and she urges explicit trade-offs, surfaced hidden work, and ranked outcomes with visible de-scoping. Aakash Gupta describes Mike Bal’s AI native PM system using Cursor or Claude Desktop, MCP tools, and vetted research, and Arvind Narayanan challenges Moravec’s Paradox and calls for a diffusion-minded policy. Additionally, Benedict Brady automates AI-generated feedback into PRs, and Teresa Torres and Petra Wille reframe hiring as discovery.

Then, Scott Alexander reports on Moltbook’s first weekend, asking whether AI posts cause real effects, then maps influencers, spam, crypto manipulation, micro religions, builders, and fragile self-moderation. Greg Satell debunks change myths and urges committed minorities plus resistance planning, while Maarten Dalmijn warns that post-failure rules kill competence and trust. Also, Jayshree Seth and Amy C. Edmondson frame AI adoption as team learning with reviews and overrides. Lastly, Victor Yocco refocuses UX on trust, consent, and accountability.