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.
đLearn more about Delegance at delegance.ai
đLearn more about Vora at vora.io
