How To Actually Regulate AI — ft. Alex Bores
Summary
Hosted by Prof G Markets, this episode features Alex Bors, co-founder of Who Decides, discussing the urgent need for AI regulation and accountability. Bors reflects on his experience as a New York state legislator who passed the RAISE Act and faced an $8 million super PAC attack from tech industry backers. The conversation covers the lack of legal liability for AI incidents, the risks of recursive self-improvement, and the political backlash against data center construction.
Topics discussed
Sponsorship and intro: AI concentration in markets
New York's golden age and local economy
Guest intro: AI safety and political backlash
Guest background: Tech policy and NY politics
The $8M SuperPAC attack and AI campaign focus
Shifting industry stance on AI regulation
Basic guardrails: Logs and catastrophic risk
Why AI labs are slowing down: Capex vs Safety
The race dynamic and the need for public oversight
Sponsorship: VCX and Faire
Sponsorship: General Z and Rachel Jazaa
Accountability for the Hugging Face attack
User vs Developer liability and legal clarity
Enforcing liability and state AGs' role
Regulation vs China: Incentives and cooperation
Recursive self-improvement and human oversight
Third-party audits: Skepticism and standards
Designing independent audits to avoid capture
Sponsorship: Latino voters and Criminal podcast
Data center moratoriums and local permitting
Energy, water, and grid strain from data centers
Predictions: Regulation vs. chaos in 12 months
State-level actions and the role of values
Midterms as an AI referendum and closing
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