OpenAI Is Slowing Hiring. Anthropic's Engineers Stopped Writing Code. Here's Why You Should Care. скачать в хорошем качестве

OpenAI Is Slowing Hiring. Anthropic's Engineers Stopped Writing Code. Here's Why You Should Care.

My site: https://natebjones.com Full Story w/ AI Agent Coding Guide + Prompts: https://natesnewsletter.substack.com/... ________________________ What's really happening with AI coding tools after December's convergence? The common story is that better models mean incremental improvement—but the reality is more complicated when the CEO of OpenAI admits he still hasn't changed how he works. In this video, I share the inside scoop on why a capability overhang is widening between what AI can do and what most people are doing with it: • Why three frontier model releases in six days created a phase transition • How a simple bash loop called Ralph outperformed elaborate agent frameworks • What Claude Code's task system means for parallel autonomous work • Where the real skill shift lands: from implementation to specification and review For builders and operators navigating 2026, the temporary arbitrage is real—those who close the overhang first gain a massive edge that compounds daily. Chapters 00:00 Sam Altman's Confession 01:30 What Actually Changed in December 04:34 Ralph: The Bash Loop That Went Viral 06:28 Claude Code's Task System 09:58 Cursor's Autonomous Megaprojects 11:00 Dario Amodei's Self-Acceleration Loop 12:30 The Capability Overhang 14:48 Closing the Gap: What Power Users Do Differently 17:04 Design Becomes the Bottleneck 18:29 Running Multiple Agents in Parallel 19:52 The Errors Models Make Now 22:22 Setting Policy for Agent-Assisted Code 23:40 The Overhang Is Only Getting Bigger Subscribe for daily AI strategy and news. For deeper playbooks and analysis: https://natesnewsletter.substack.com/