Decentralizing AI with Jesse & Dustin

Fable 5 and the Shift Beyond Models: Data, Harnesses, and Local AI

Sun, 05 Jul 2026 15:00:28 GMT

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

🌐Learn more about Vora at vora.io

The Local AI Boom and the Coming AI Underclass | 0xSero

Sun, 28 Jun 2026 15:00:27 GMT

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 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

🌐Learn more about Vora at vora.io

What New AI Models Keep Revealing: Multi-Agent Workflows, Context Limits & the End of One-Model AI

Sun, 21 Jun 2026 15:00:28 GMT

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

🌐Learn more about Vora at vora.io

Claude’s Less Obvious Edge, AI Layoffs, Prompting & Consciousness

Sun, 14 Jun 2026 15:00:28 GMT

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

🌐Learn more about Vora at vora.io

The AI Stack After LLMs: Local Inference, World Models, and Logic | Dr. Matthew Molineaux

Sun, 07 Jun 2026 15:00:27 GMT

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

What LLMs Reveal About Language and Reality | Trilogues I with Max Webster (Hivemind)

Sun, 31 May 2026 17:01:40 GMT

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

AI Is Your Birthright: Open Models, Private AI, and Why LLMs Fall Short

Sun, 24 May 2026 15:00:28 GMT

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

Intros, World Models, the End of Apps, and the Paramount Importance of User-Aligned AI

Sun, 17 May 2026 15:00:28 GMT

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