Avsnitt
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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
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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
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Saknas det avsnitt?
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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
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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
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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
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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
