Decentralizing AI with Jesse & Dustin
Jesse Posner and Dustin Dannenhauer explore the intersection of AI with decentralization, self-sovereignty, and individual empowerment. Topics include open-source vs. proprietary models, world models, autonomous agents, AI self-custody, vibe coding, bitcoin, Nostr, and consciousness. Jesse focuses on AI self-custody inspired by bitcoin's ethos, while Dustin runs a research lab on world models and agent orchestration. Both believe the most important AI story is the movement using AI to accelerate decentralization.
Episodes
The Local AI Boom and the Coming AI Underclass | 0xSero
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 models
20:00 How diffusion models could change speed
21:55 Fable 5 as a turning point & AI export cont
What New AI Models Keep Revealing: Multi-Agent Workflows, Context Limits & the End of One-Model AI
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 case for AI
47:31 - The political roots of AI fear
59:37 - The new human premium & what AI reveals abo
Claude’s Less Obvious Edge, AI Layoffs, Prompting & Consciousness
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 special & how prompts create personality
50:47 Gemma 4 with vs without a system prompt
54:56 AI is still
The AI Stack After LLMs: Local Inference, World Models, and Logic | Dr. Matthew Molineaux
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 - Who owns AI-generated work?
31:17 - Can governments control LLM outputs?
35:30 - Mythos and AI danger messag
What LLMs Reveal About Language and Reality | Trilogues I with Max Webster (Hivemind)
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 life
36:57 - The limits of thinking & concepts
42:40 - The weird psychology of vibe coding & why it gets
AI Is Your Birthright: Open Models, Private AI, and Why LLMs Fall Short
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 AI & why AI needs more than LLMs
1:11:51 - Coding as discovery not execution
1:13:56 - Can the world b
Intros, World Models, the End of Apps, and the Paramount Importance of User-Aligned AI
Timestamps:
0:00 Podcast origins and the AI moment
3:11 Dustin’s background: AI research, bitcoin, Nostr, and decentralization
11:20 Jesse’s background: from philosophy and law to bitcoin security
17:18 Dustin’s startup (Delegance) vision and world models explained through chess
25:45 Determinism: why AI works better with structure and clear rules
34:05 Reflecting on process: ho
