Sponsored Session: Who Do the Robots Work For? The Surprisingly Simple Answer to AI's Biggest Question
summary
Main claim: robots end up serving whoever builds and trains them, and purely technical fixes like decentralised ledgers, open source, or crypto consensus do not solve emergent misalignment. Evidence includes a live Slido word-association experiment showing more coherent, less fragmented collective outputs after a short triangle breathing grounding practice. Tools surveyed: Bitcoin consensus, open source practices, neuroscience and contemplative methods. Surprising pivot: an embodied gibbon insight reframes intelligence as context‑dependent, so governance work focuses on human practices and state management rather than only algorithms.
AI-written summary · about
chapters (13)
- 0:00Introduction
- 1:06Why this talk and what to expect
- 3:18Robots' hidden agendas
- 5:46AI alignment first principles
- 10:19Collective intelligence experiment
- 13:44AI training fragmentation
- 17:52Hyper ego disembodied
- 23:10Truth versus order
- 24:35Gibbons' surprising intelligence
- 27:03Liminality and humane decisions
- 30:36Mind-body reconnection techniques
- 33:48Human-values-aligned tools
- 36:14Q&A
related talks
47mHuman Robot Agent: Scouting AI Beyond Hype and Doom
31mCan AI Help Bitcoin? Responsible Practices for Open-Source Development
40mHuman-AI Collaboration Models for Better Decisions and Faster Workflows
10mThe Next Era Of Open Source: Humans + AI, Not Humans vs AI
49mThe Shape of AI
22mAI & Blockchain: New solutions that actually work
26mLeadership in Times of AI
46mPanel Discussion: AI's Impact on Developers