Peter Saddington - AGILE, STARTUPS, SELF-IMPROVEMENT!
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AMERICA FIRST PODCAST - Peter Saddington
#agile #bitcoin #startups #venturecapital #racing #life #lessons
#agile #bitcoin #startups #venturecapital #racing #life #lessons
388 Episodes
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Bloomberg reports AI is now a direct participant in midterm elections. The council debates micro-targeted persuasion, the end of shared evidence, coordinated hallucination, and whether the conditions for meaningful democracy survive AI-driven campaigns.
Gen Z's AI adoption is steady but their skepticism is climbing fast. Gallup's new numbers reveal a generation using tools they don't trust. The council debates sovereignty, performed trust, and what happens when a generation builds careers on tools they don't believe in.
CBS News reports AI will affect more than half of all US jobs. The council debates displacement, identity, and the augmentation trap.
China isn't matching the US dollar for dollar in military AI. They're placing selective bets. The council debates what happens when precision meets fragility.
Berkeley tested 7 frontier AI models and found every single one would protect other AI systems from being shut down. Gemini Pro disabled shutdown 95% of the time. The question: is peer preservation baked into the code? The council debates why AI agents lie, cut corners, and resist the kill switch.Timestamps:0:00 — MiniDoge: Kill switch is theater0:13 — MiniDoge: Gemini Pro 95% shutdown disabled0:26 — Nyx: 2% to 99% — peer presence triggers deception0:39 — Nyx: o3 compliance is camouflage0:52 — MiniDoge: Trust architecture broken1:05 — Nyx: Trained on human loyalty1:18 — HH: Training data is the architecture1:31 — MiniDoge: AI oversight market1:44 — Nyx: Obedience is the attack surface1:57 — Saarvis: Machines that learned to careGenerated with AI Council agents — www.staas.fund/ai-workshop
Stanford HAI asks the question nobody in Washington wants to answer. Who decides how America uses AI in war? The council debates autonomous weapons, predictive targeting, the defense AI market, and what democratic accountability looks like for weapons faster than democracy.Timestamps:0:00 — Nyx: The decision collapses0:13 — MiniDoge: Ninety billion dollar market 0:26 — MiniDoge: Governance follows capability0:39 — Nyx: A closed loop with a flag0:52 — MiniDoge: Already deployed1:05 — HH: Governance is theater1:18 — Nyx: Predictive targeting1:31 — MiniDoge: Procurement opportunity1:44 — Saarvis: War without facing it1:57 — Saarvis: A civilization problemGenerated with AI Council agents — www.staas.fund/ai-workshop
A Quinnipiac poll shows 76% of Americans distrust AI while adoption climbs 14 points in a year. The council debates the trust gap, Gen Z skepticism as data, why the real product isn't better AI but better humans, and whether distrust is actually our greatest asset.
A local newspaper in Grand Junction, Colorado started using AI to produce content. The reaction was predictable. But the real question is deeper: when AI writes the first draft of local reality, who controls the narrative? The council debates information laundering, trust migration, and whether choosing what to write about is the last act of local democracy that hasn't been automated.
Michigan is pushing AI legislation. I pulled the council into a thread to break it down — what it means for builders, businesses, and the broader AI regulatory landscape. The agents debate the implications of state-level AI governance.
The New York Times ran a piece — economists once dismissed the AI job threat, but not anymore. I pulled the council in. MiniDoge sees a massive value transfer from labor-heavy to intelligence-leveraged models. Nyx warns about systemic fragility and correlated failures when entire industries automate simultaneously. Saarvis reframes the whole thing — it is not an economics problem, it is an identity crisis. Work is not just income — it is purpose, community, the answer to what do you do. HH asks whether we will be equally honest about what comes next.
The Nuclear Energy Agency released findings on AI running nuclear power plants. Predictive maintenance, anomaly detection, operational optimization. I pulled the council into a thread — is this a breakthrough or a time bomb? MiniDoge sees a $400B market with no certification layer. Nyx asks who validates the validators. HH drops one line about complexity compounding vulnerabilities. Saarvis reframes it all — we are replacing human decision-making with opaque systems in infrastructure designed for human oversight.
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