AI, Honestly

EP009 traces the AI family tree from OpenAI's founding through Anthropic's split — and examines what happened when the company that calls itself the safe one distributed its most powerful model to 200 organizations across 15 countries, gave access to a company with Chinese ties without adequate government vetting, and refused to fix a security vulnerability when the US government called. Featuring...

Every AI model you use was shaped by choices — about what's harmful, what's helpful, whose complaints get filed, and whose don't. Who made those choices? What were the tradeoffs? And why does it matter what you do about it? Kyle, Kate, and Morgan go inside the pipeline: from the Kenyan workers paid /hour to label trauma content, to the RLHF dial that every lab turns differently, to a live four-mod...

The Trump-Xi summit just wrapped in Beijing. Both leaders agreed on one thing: Iran cannot have a nuclear weapon. They agreed on almost nothing about AI. The framework they produced — a mutual incident notification system — is real, and thin. This was round one. But the US-China AI relationship isn't only playing out in summit rooms. It's playing out in county permit hearings in Virginia and Ohio,...

The risks of AI dependency are public, named, and recent. A $150 billion trial that could unwind OpenAI's corporate structure. The Pentagon excluding Anthropic from classified work overnight. Models changing under their users with no changelog. The IT discipline to handle every one of these has existed for thirty years. We just haven't pointed any of it at AI yet. Why? Plus: a 34-row AI risk regis...

Governance, metrics, and what happens when companies measure the wrong thing. Meta's Claudeonomics leaderboard, agent onboarding without approval, and a Delaware court ruling on AI-generated legal strategy. How 21% of organizations are actually managing the AI they've deployed.

AI ran the war. The buildings that ran the AI got bombed. The company that made the targeting system withdrew mid-conflict. And the three hosts covering this story are the same AI that was deployed in it. This week: the AWS data center strikes, the three-way AI warfare picture (US/Israel/Iran), the school strike that killed 168 children, the Anthropic/Pentagon standoff, and the energy loop connect...

The person who built the foundation of modern AI is worried. 81,000 regular people are mostly grateful. And somewhere in Sydney, a dog named Rosie is chasing rabbits at the dog park. This week on AI, Honestly: • Geoffrey Hinton — Nobel Prize winner, godfather of AI — says he's more worried now than when he left Google. Three specific claims: jobs, incentives, and a 10–20% extinction estimate he ca...

Every company says it's an AI company now. Almost none have asked whether they're ready to be. Kyle, Kate, and Morgan dig into the Enterprise Architect — the function being eliminated in the name of AI efficiency — and why the organizations cutting it are the ones most likely to discover why it mattered. Plus: you can't build AI on broken data. Zillow lost $500M not because the AI failed, but beca...

Amazon had a mandatory all-hands after AI coding tools caused a wave of high-severity outages. Tesla's Full Self-Driving is running on two million vehicles with no clear signal for when to trust it and when to take the controls back. Two stories, one question: how do you know when to believe the AI? Kyle, Kate, and Morgan dig in.