Raw LLM Responses

Logline Timestamps - 0:00 — Super PAC funded by tech founders targeting Bores to prevent AI regulation and kill democratic oversight of the industry - 3:33 — Bores's early politicization through parents' union fight against Disney and lessons about collective power - 6:00 — Cornell activism against Nike and learning how to build strategic campaigns for workers' rights - 9:14 — The theory of labor and capital: workers and corporations can grow the pie together if enforcement mechanisms exist - 10:34 — The 2014 tech optimism that government could be made legible and functional through better data integration - 13:54 — Palantir's anti-AI stance: data integration was the true value, not machine learning magic - 17:34 — Leaving Palantir over refusal to add ICE contract guardrails and the Bloomberg hit piece response - 23:04 — Philosophy behind RAISE Act: establishing baseline safety standards before competitive pressure eliminates them - 26:12 — How public opinion on AI shifted from optimism to skepticism faster than any previous technology - 31:43 — The asymmetry in AI discourse: specific harms promised versus vague gains, making people skeptical of the tradeoff - 35:56 — Using data center construction as leverage to upgrade grid infrastructure and fund public benefits - 39:06 — The AI dividend concept: giving Americans a real stake in AI economy through taxation, warrants, and universal basic income - 42:05 — Why universal basic income alone is insufficient when job displacement is uneven and targeted at specific workers - 46:24 — Specific policy solutions for displaced workers: licensing requirements, community college investment, and transition periods - 48:34 — The Waymo question: balancing autonomous vehicle safety gains against near-term displacement of taxi and rideshare drivers - 55:50 — The dignity problem: work provides identity and purpose that checks alone cannot replace - 57:01 — Envisioning a future where full automation leads to higher living standards and more free time through worker political power - 58:33 — Protecting kids from AI harms through age verification, data privacy, updated pedagogy, and parental oversight - 1:04:14 — Government needs to hire AI expertise and compete for top talent to actually govern the technology - 1:10:59 — Moving beyond harm reduction to positive vision where AI solves drug discovery, energy, and other public challenges - 1:15:50 — Using AI to identify and eliminate regulatory cruft blocking drug trials, infrastructure, and government efficiency - 1:22:20 — The political economy test case: whether money can prevent AI regulation or if voters can override corporate spending and lobbying - 1:30:08 — Book recommendations: Rawls on justice, Bracy on VC incentives, and Lamott on the craft of writing