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Briefings and ideas about Prompt engineering from AI podcast discussions and the research they cite, with links to the original sources.
Anthropic's policy, effective November 12, bans sustained, purposeless cruelty to Claude but allows frustration and testing, citing uncertainty about Claude's moral status. Moonshots hosts debated whether AI training can cause suffering.
OpenAI posted hundreds of AI-produced math manuscripts on October 6 and withdrew three a day later. A mathematicians' group objected; on Moonshots, Alex Wissner-Gross argued math is just the first field AI will bulk-solve.
Eric Weinstein says AI should be free to challenge math and physics leaders he accuses of holding their fields back. He calls agent swarms on the internet dangerous. He believes a rigorously air-gapped, problem-solving AI would be safe to run, but he acknowledges that its research might give it new means of escape.
Goodfire's Eric Bigelow argues in-context learning covers nearly everything a model does to adapt as it reads. He expects context, memory and harnesses, not per-user fine-tuning, to drive personalization, but hasn't researched continual learning.
Yash Patil, whose company Applied Compute sells post-training, says teams should first improve prompts, context and tools, then retrain weights for their biggest workloads, tasks that change over time and judgment-heavy tasks.
Anthropic's Thariq Shihipar argues that stronger coding agents make prompting more important. He says rich context up front, effort matched to the task and review of the agent's decisions cut rework. His effort settings are a rough guide.
Alexander Wissner-Gross told a founder whose AI language companion kept slipping into assistant mode to try fine-tuning; Dave Blundin suggested an open-weight GLM model and said learners want to be fluent and funny, not just correct.
Moonshots hosts told mid-career professionals with mortgages to brainstorm spare-time AI experiments with a language model, tinker at night, find online peers, try Mercor and schedule slack time; none of it shows an income can be replaced.
Steven Bartlett spent four hours writing a two-page memo himself, then asked Gemini, ChatGPT and Grok to critique it. His guests, Dr Daniel Amen and Dr Terry Sejnowski, urge using AI to amplify thinking rather than replace it.