
Show Notes
Theo & Ben break down OpenAI's latest model, Astra, and why it's their new benchmark for AI coding, computer use, and multimodal work. But it's not all good: they explain why its UI, stopping behavior, and agent reliability still create friction in real software workflows. From DEFCON puzzles to coding-agent PRs, we're comparing Astra with Fable and asking what a trustworthy OpenAI model should do next.
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Timestamps 00:00 Meet Astra 04:03 Best Model Ever, With Catches 06:33 Reasoning and 3D Benchmarks 20:00 Astra Rebuilds Ping.gg 30:04 Instruction-Following Problems 44:47 The Uncommitted Fix Debate 01:09:37 The PR Babysitting Failure 01:22:41 Why Fable Still Wins 01:30:41 Multimodal and Computer Use 01:39:29 Astra vs. Fable Fleet Data
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Theo & Ben break down their latest thoughts on how Astra and Fable 5.1's releases have changed the way they work, how they interact in T3 Code, and then circle back to the latest with Codex usage limits, Gemini 3.8 Flash, Muse Spark 1.3, and the growing gap between model benchmarks and real coding workflows.