Decentralizing AI with Jesse & Dustin

Jesse Posner, Dustin Dannenhauer

Digging into the ideas shaping the next era of AI, and how they intersect with decentralization, self-sovereignty, and empowerment of the individual. Each episode, Jesse Posner and Dustin Dannenhauer, PhD explore the frontier of AI with topics such as open-source vs. proprietary models, world models vs. LLMs, autonomous agents, AI self-custody, vibe coding, bitcoin, Nostr, consciousness, and who actually owns the stack. Vora co-founder Jesse focuses on AI self-custody, applying bitcoin’s self-sovereignty ethos to artificial intelligence. Dustin runs Delegance AI, a research lab focused on world models, planning, and agent orchestration. Both have spent more than a decade in AI and believe the most important AI story isn’t centralization but the quieter parallel movement using AI to accelerate decentralization and give power back to the individual.

Episodes

  1. 8h ago

    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 messaging 41:16 - Whose ethics govern AI? 48:37 - Filtering the internet through agents 56:03 - Controlling AI is short-hand for controlling humans 1:01:43 - How & why decentralization builds resilience 1:06:48 - Can AI solve coordination problems? 1:16:12 - "Personal lens": Aligned local AI project 1:25:15 - Why LLMs still need logic 1:34:30 - The stack after LLMs A conversation with Delegance co-founder Dr. Matthew Molineaux on what comes after LLMs, why AI needs world models and logic, and how open-weight local inference could shape the next AI stack. 🌐Learn more about Delegance at delegance.ai 🌐Learn more about Vora at vora.io

    1h 36m

  2. May 31

    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 emotional 49:04 - Are LLMs enough for superintelligence? 58:20 - Could AI self-perpetuate and run without humans? 1:06:18 - What AI reveals about us 1:12:24 - Is there something beyond language? 1:24:03 - Why imagination makes language powerful 1:30:15 - The infinite game after AI A wide-ranging conversation with Max Webster on why LLMs work better than they “should,” what language reveals about reality, and what AI reveals about the human mind. 🌐Learn more about Delegance at delegance.ai 🌐Learn more about Vora at vora.io 🌐Learn more about Hivemind at hivemind.vc

    1h 33m

  3. May 24

    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 become language? 1:28:23 - How names unlock understanding 1:41:00 - Why private AI matters 1:47:30 - Will superintelligence = superwisdom? Episode 2 of Decentralizing AI with Delegance co-founder Dustin Dannenhauer and Vora co-founder Jesse Posner. 🌐Learn more about Delegance at delegance.ai 🌐Learn more about Vora at vora.io

    1h 54m

  4. May 17

    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: how to debug better, waste fewer tokens, and improve workflow 50:50 The end of apps and the rise of personal AI interfaces 1:06:48 The stakes of AI that serves the individual Delegance co-founder Dustin Dannenhauer and Vora co-founder Jesse Posner kick off the Decentralizing AI podcast by introducing their backgrounds and exploring some of the ideas that will shape the show, including: AI, bitcoin, decentralization, world models, the future of software, and importance of AI serving the individual rather than the interests of platforms, governments, or other institutions. 🌐Learn more about Delegance at delegance.ai 🌐Learn more about Vora at vora.io

    1h 11m
  • 4 Episodes

About

Digging into the ideas shaping the next era of AI, and how they intersect with decentralization, self-sovereignty, and empowerment of the individual. Each episode, Jesse Posner and Dustin Dannenhauer, PhD explore the frontier of AI with topics such as open-source vs. proprietary models, world models vs. LLMs, autonomous agents, AI self-custody, vibe coding, bitcoin, Nostr, consciousness, and who actually owns the stack. Vora co-founder Jesse focuses on AI self-custody, applying bitcoin’s self-sovereignty ethos to artificial intelligence. Dustin runs Delegance AI, a research lab focused on world models, planning, and agent orchestration. Both have spent more than a decade in AI and believe the most important AI story isn’t centralization but the quieter parallel movement using AI to accelerate decentralization and give power back to the individual.

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