Fable 5 and the Shift Beyond Models: Data, Harnesses, and Local AI

0:00 - Opening 0:50 - HSMs for agentic payments & the security tradeoff in personal AI 8:36 - The fragility of cloud security 11:43 - Vora's compartmentalized architecture for personal AI 14:50 - Why Fable 5 feels nerfed 20:13 - Fable 5 isn't a big deal because intelligence is no longer the bottleneck (data & harnesses are) 23:38 - Local models are getting useful: Hermes Agent, Qwen 3.6, and LLM wikis 28:18 - Why fast local inference with DeepSeek v4 Flash changes things 35:00 - Better workflows (i.e., HumanLayer AI IDE) beats more agents 40:40 - Planning systems for AI coding 52:00 - Fable 5 and model ceilings/diminishing returns 55:00 - Personal data as an AI moat 1:00:43 - Intelligence = search efficiency 1:08:30 - Why harnesses matter more than models 1:13:30 - Reasoning versus stored knowledge 1:21:10 - Why AI is so good at coding 1:28:13 - Export controls and AI gatekeeping 1:41:55 - Decentralization as civilizational infrastructure 1:56:30 - Practical steps toward AI sovereignty 2:04:20 - Using AI to dumb vs strengthen yourself 2:07:40 - Human verification in the age of cheap answers Everyone is focused on Fable 5, but what if the model wars are becoming a distraction? Jesse and Dustin discuss why the next phase of AI is probably less about raw model intelligence and more by data, harnesses, local hardware, memory, workflows, and control. The future may belong not just to the most powerful model, but the systems and stack around it. 🌐Learn more about Delegance at delegance.ai 🌐Learn more about Vora at vora.io