Keynote Day 2
summary
Argues that the primary test for web3 and AI is whether real people are better off, not benchmarks, citing decades-long trends (40–50 years) where early internet and simple mobile phones reduced absolute poverty but later designs amplified distrust and political polarization. Emphasizes a radical humanist metric and that mere code release without open-source intelligibility leaves power to a technical priesthood; points out network effects, gradient-descent attention algorithms, and the AI-as-collaboration vs AI-as-entity framing as mechanics driving harm.
AI-written summary · about
chapters (15)
- 0:00Introduction
- 1:10Testing in web3 and computation
- 2:35Sci-fi warnings to tech reality
- 4:43Humanism in tech design
- 9:37Better or worse world?
- 12:32Original internet promise
- 16:49Digital architecture flaws
- 17:33Architecture’s human impact
- 21:56Empowerment’s last mile
- 24:51AI’s role in society
- 27:57Tech elite’s responsibility
- 30:03Tech culture and authoritarianism
- 31:28File sharing centralization
- 33:36Network effects dangers
- 36:27Correcting digital life
related talks
47mKeynote: AI is having its moment ... again
15mon the AI Dilemma
35mFrom hype to responsibility: what works & matters for whom in data and AI?
45mAI, Corporate Responsibility & Democratic Legitimacy: Extended Q&A
15mKeynote: The Common Pathway of AI and Software
01h 07mKeynote: Welcome to the Machine
21mKeynote: "Open as in:"
23mThe AI Dilemma — Steering towards a More Humane Future