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.
Open-Source AI Momentum, Omarchy, World Models, OpenAI's Math Controversy, Future of Private AI
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 structured reasoning and world models
37:44 - Using world models to secure agents
41:26 - What the OpenAI math controversy shows about AI data privacy
48:33 - Trusted execution environments (TEEs) and private AI
1:04:37 - Can homomorphic encryption solve AI privacy?
1:09:07 - The Rosario Cipher and future of authentication
1:14:34 - AI doomerism and the politics of fear
1:26:34 - Balancing freedom and control
Links:
Omarchy: https://omarchy.us/ (https://omarchy.us/)
Nostr: https://github.com/nostr-protocol/nostr (https://github.com/nostr-protocol/nostr)
FIPS (Free Internetworking Peering System): https://github.com/jmcorgan/fips (https://github.com/jmcorgan/fips)
Marmot Protocol: https://github.com/marmot-protocol/marmot (https://github.com/marmot-protocol/marmot)
OpenAI's math controversy: https://www.wired.com/story/openai-is-pissing-off-a-bunch-of-mathematicians-again/ (https://www.wired.com/story/openai-is-pissing-off-a-bunch-of-mathematicians-again/)
TrustedRouter: https://trustedrouter.com/ (https://trustedrouter.com/)
Tinfoil: https://tinfoil.sh/ (https://tinfoil.sh/)
TEE.fail (http://TEE.fail): https://tee.fail/ (https://tee.fail/)
Rosario Cipher: https://www.eni6ma.io/technology/rosario (https://www.eni6ma.io/technology/rosario)
🌐Learn more about Delegance at delegance.ai (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
4 Oct 2026
Obama vs AI, the Pro-Human Assembly, OpenAI’s Agent Swarm, Loop & Graph Engineering, AI Alignment
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 - Alignment is ultimately a political question
19:42 - Loop and graph engineering for reliable AI
27:00 - Why “global alignment” is probably impossible
35:13 - Obama’s critique of LLMs and agentic AI
36:58 - Claude Code undermines Obama's case against agentic AI
40:14 - The deeper political questions behind AI safety
Vora reveal: https://www.youtube.com/watch?v=3t5N8C1pU0c (https://www.youtube.com/watch?v=3t5N8C1pU0c)
🌐Learn more about Delegance at delegance.ai (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
2 Aug 2026
AI Is Rebuilding the Internet: Agents, Secret Messages, and What Comes Next
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 in AI output
48:06 - The incentives behind the OpenAI-Hugging Face story
56:26 - Hidden risks inside neural networks
1:06:54 - The problem with Anthropic and OpenAI’s “dangerous AI” marketing
1:12:54 - Bioweapons as the strongest case for slowing AI
1:21:38 - The worldview behind AI fear and the case for freedom
🌐Learn more about Delegance at delegance.ai (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
5 Jul 2026
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 (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
28 Jun 2026
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 (http://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 controls
26:57 What powerful models actually threaten
33:57 Should powerful models stay open?
39:20 When AI helps attackers and defenders
46:32 'AI safety' in the social media age
53:50 Why local AI becomes personal survival gear
1:03:30 The economic case for local AI
0xSero joins Jesse and Dustin to discuss the local AI hardware boom, why running models at home is still so confusing, and how open-weight AI, personal agents, and sovereign intelligence could shape the future.
🌐Learn more about Delegance at delegance.ai (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
21 Jun 2026
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 about human value
1:03:57 - The case for decentralized AI
1:11:29 - How AI helps rethink desire & make better choices
1:16:23 - Struggle unlocks human potential
Jesse and Dustin explore how Opus 4.8 and new agent workflows are changing the way people build with AI, then zoom out to the bigger questions: why AI should push back, why the future may be many specialized models, and the growing importance of decentralized AI.
🌐Learn more about Delegance at delegance.ai (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
14 Jun 2026
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 missing real planning
1:04:07 Did LLMs unlock the ability to simulate consciousness?
1:12:28 Claude Code’s permission security theater
1:15:03 Return to consciousness discussion
A wide-ranging conversation covering what AI layoffs are getting wrong, why Claude feels different, how prompts shape personality, and why AI forces us to rethink consciousness.
🌐Learn more about Delegance at delegance.ai (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
7 Jun 2026
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 (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
31 May 2026
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 (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
🌐Learn more about Hivemind at hivemind.vc (http://hivemind.vc)
24 May 2026
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 (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
17 May 2026
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 (http://delegance.ai)
🌐Learn more about Vora at vora.io (http://vora.io)
Contact Decentralizing AI with Jesse & Dustin
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of Decentralizing AI with Jesse & Dustin?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
