Episode

Claude Opus 5

Podcast
Generative AI 101
Published
Jul 29, 2026
Duration seconds
807
Processing state
not_requested
Canonical source
https://generativeai101.podbean.com/e/claude-opus-5/
Audio
https://mcdn.podbean.com/mf/web/cced99udize34d27/Claude_57f1pf.mp3
JSON
/v1/public/podcasts/generative-ai-101-6932184/episodes/claude-opus-5
Markdown
/podcast/generative-ai-101-6932184/claude-opus-5.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/generative-ai-101-6932184/episodes/claude-opus-5/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/generative-ai-101-6932184/claude-opus-5.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

Anthropic shipped Claude Opus 5 on July 24th at the same price as the model it replaces, and buried the interesting part in a footnote: turn the effort dial to max and the scores go down. Host Emily Laird reads the system card, separates the vendor-run benchmarks from the independently administered ones, and explains why extra test-time compute buys ambition rather than correctness. Also covered: three outages in two days, a cyber classifier that quietly routes part of your traffic to an older model, and why Anthropic's own coding guidance stops one rung short of the top setting. If your team is paying for maximum thinking, you may be paying for scope creep with a token bill attached. 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird