OpenAI’s shutdown of the Sora app kicks off a broader discussion about how AI companies are being shaped less by hype cycles than by raw compute limits, with Disney deal fallout, Anthropic’s work-hour throttling, and rumors of even bigger next-generation models all pointing to infrastructure being the real bottleneck. From there, the conversation shifts into what these tools look like in practice: Andrew talks through using Codex, plugins, and repeatable evals to automate work, build tiny playable games under extreme constraints, and treat coding more like cultivating projects than manually assembling software line by line. The hosts compare notes on how intimidating the current tool landscape can still be for newcomers, why iterative prompting and experimentation matter more than waiting for a perfect “super app,” and how app stores may be poorly equipped for a wave of AI-generated software. They also detour into social media, scams, platform incentives, and the question of whether better guardrails earlier on could have reduced some of the worst outcomes of the last platform era before wrapping with movie, parenting, and gadget recommendations.

Andrew Mayne: Project Hail Mary

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