4 AI Labs Built the Same System Without Talking to Each Other (And Nobody's Discussing Why) скачать в хорошем качестве

4 AI Labs Built the Same System Without Talking to Each Other (And Nobody's Discussing Why)

My site: https://natebjones.com Full Story w/ Prompts: https://natesnewsletter.substack.com/... ___________________ What's really happening with AI capabilities at work — and why the "jagged AI" frame is now obsolete? The common story is that AI is brilliant at some things and broken at others — but the reality is that jaggedness was never about intelligence; it was about how we were deploying it. In this video, I share the inside scoop on why AI agents in proper harnesses are smoothing the capability frontier for real work: Why the jagged AI frontier was always a deployment problem How multi-agent coordination unlocks long-horizon knowledge work What Cursor's math breakthrough reveals about AI generalization Where meta-skills like sniff-checking become your competitive edge The organizations and individuals who learn to decompose work, delegate to AI agents, and verify outputs will extend their leverage — those who don't will find the shift happening to them anyway. Chapters 0:00 The jagged AI assumption we all got wrong 1:45 Why single-turn AI mimics a 30-second analyst with no notes 3:20 Inference computing and the first signs of smoothing 5:10 Why jaggedness was never about intelligence 7:00 The Cursor math breakthrough that changed everything 10:15 How the planner-worker-judge architecture works 13:00 Four companies independently built the same structure 15:30 The real cost of multi-agent systems (and why it's worth it) 17:45 Two tiers of domain verifiability at work 20:30 What sniff-checking means for every knowledge worker 23:00 Meta-skills are the new execution skills 25:10 What this means for your organization right now 27:00 The surface is smooth — what to do about it Subscribe for daily AI strategy and news. For deeper playbooks and analysis: https://natesnewsletter.substack.com/