Artemis Returns, AI Compute Wars, and Codex Control

Artemis Returns, AI Compute Wars, and Codex Control

From Podcasts – Weird Things by Andrew Mayne

April 21, 2026

About this episode

The episode discusses the Artemis mission's success, the current state of AI technology, and practical applications of OpenAI's Codex.

Artemis gets a victory lap as the crew celebrates the mission’s safe splashdown and talks about how a future moon landing would dominate the internet in a way Apollo never could. From there the conversation turns into an extended AI state-of-the-industry check-in, focusing on Anthropic’s reported compute bottlenecks, Claude reliability complaints, and the restricted Mythos model that appears powerful but not yet practical to serve widely. They compare Anthropic’s strategy with OpenAI’s emphasis on efficiency, lower-cost coding performance, and upcoming model releases, while also discussing how AI companies are navigating government and defense relationships. The back half becomes a hands-on look at OpenAI’s Codex computer-use features, with examples ranging from inbox summaries and printed morning briefings to media sorting, podcast post automation, and desktop app control, all framed around the idea that AI works best when you identify which parts of a workflow require human taste and which parts are just repetitive clicking. Picks: Andrew Mayne: Astromat YT Justin Robert Young: Defunctland’s video on the broken promise of Disney intelligent characters Brian Brushwood: The pilot…

People in this episode

Host: Andrew Mayne

Topics covered

  • Artemis mission
  • AI industry
  • compute bottlenecks
  • OpenAI Codex
  • moon landing
  • government relationships
  • workflow automation

Keywords

  • Artemis
  • AI
  • OpenAI
  • Codex
  • Anthropic
  • moon landing
  • compute bottlenecks
  • workflow automation

Mentioned in this episode

Organizations: Anthropic, OpenAI

Products: Claude, Mythos model, Codex

Books & works: Defunctland’s video on the broken promise of Disney intelligent characters, Magnum P.I., Double Reel TV

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