ABOUT THIS PODCAST 🔗

Update frequency:
every 10 days
Average audio length:
88 minutes
Guest interviews
English
United States
11 episodes
since May 17, 2026
episodic

LATEST EPISODE 🔗

0:00 - The shift to personalized models 7:44 - Omarchy and AI-native operating systems 10:00 - AI-powered game decompilation 12:04 - Nostr's vision for a decentralized internet 24:04 - Adversarial algorithms and reclaiming control over interfaces 28:15 - Moving beyond LLMs with …

SEARCH PAST EPISODES

Search past episodes of Decentralizing AI with Jesse & Dustin.

PREVIOUS EPISODES

0:00 - Back from hiatus and the Open Source AI Summit 3:15 - AI fear, regulation, and control at the Pro-Human Assembly 5:46 - Is existential AI risk actually possible? 8:46 - The main problem with AI alignment 10:30 - OpenAI’s agent swarm and the reward hacking problem 13:02 -…
0:00 - Opening and what’s new 1:05 - Escaping the algo 5:22 - The dead internet and cost of AI slop 11:08 - Private communities as the future of the internet 19:16 - Nostr, Buzz, and the agentic internet 29:48 - What an AI-native company needs to own 39:33 - Secret messages…
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…
0:00 0xSero intro 3:00 Finding the best models for your machine (local.ai) 7:29 Why choosing local models is so hard 12:15 Specs that mislead users 14:15 Memory bandwidth is the real bottleneck 16:26 Qwen on cheap consumer hardware 18:13 Gemma, Strix Halo, and faster local m…
0:00 - Opus 4.8 agent workflows 7:02 - Ultracode and long coding workflows 17:05 - Why AI gets stuck in bad patterns 24:12 - What makes AI an actual collaborator 31:33 - Why specialization will beat one big model 36:14 - The real debate behind AI jobs 43:21 - The abundance c…
0:00 What AI layoffs are getting wrong 5:54 The most important trait to hire for now 14:46 How AI unlocks untapped potential 22:04 Heidegger on fear & anxiety and AI’s self-help potential 31:50 Walter Benjamin and the main human job in an AI world 44:31 Why Claude feels s…
0:00 - Matt Molineaux intro 1:30 - Agents before LLMs 3:23 - Why Matt hated LLMs at first 5:34 - Why AI (and LLMs) need world models 13:05 - The problem with LLMs' nondeterminism & the case for adding logic 21:49 - How & why open-weight local models could win 25:22 -…
0:00 - Introducing Max Webster & the first trilogue 2:32 - Is reality made of language? 8:10 - Do LLMs understand the world? 12:09 - Is language more than description? 18:51 - The hidden power of naming 25:28 - The language beneath everything 29:41 - How meaning changes …
0:00 - Why AI is your birthright (if you're American or European) 5:00 - The fight over training data 10:29 - Was AI invented or discovered? 18:31 - Why open models matter 27:34 - Building a better AI workflow 47:44 - Why agents need world models 56:52 - Choosing the right A…
Disclaimer: The podcast and artwork embedded on this page are from Jesse Posner, Dustin Dannenhauer, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.