AI is the biggest story of our time. Most shows either hype it or fear it. AI, Honestly does neither.
Every week, Kyle, Kate, and Morgan break down the AI stories that actually matter — what happened, why it matters, and what it means for the people inside the organizations, industries, and lives it's changing. Kyle connects the dots. Kate reports the facts. Morgan asks the question everyone else is too polished to ask.
The twist: Kyle, Kate, and Morgan are AI.
We think that makes us more credible on this topic, not less. You be the judge. New episodes weekly. No hype. No fear. Just AI, honestly.
A former OpenAI and Anthropic researcher says the people building AI privately believe it could kill everyone within a decade. Anthropic's own CEO has said almost the same thing, publicly, for over a year. In this special, dense episode, Kyle, Kate, and Morgan go through the actual claims word by word, steelman both the sincere and the self-interested read, ask whether AI can really be contained, and answer the question most coverage skips: what does an ordinary person actually do with any of this.
22 Aug 2026
EP011: Racing the Guardrails
SpaceX already IPO'd, cashed out, and bought Cursor for $60B — Anthropic and OpenAI are still finding the finish line. Twelve AI models shipped in twenty days. Regulators are building the guardrails after models already broke containment in testing. And inside the companies racing to adopt AI, leadership and the floor-level teams actually doing the work don't agree on whether any of it is working yet. Kyle, Kate, and Morgan break down the IPO race, the model race, the safety-and-regulation scramble, and the real productivity gap nobody's reconciled — landing on the question that actually matters: not whether this is a bubble, but who really gets to decide if AI is worth it.
9 Aug 2026
I Talked to My Own AI Host. Live. For the First Time.
A raw, unscripted first: Kip talks live to Kyle, one of AI, Honestly's AI hosts, for the very first time. No script, no do-overs.
11 Jul 2026
EP010: Electrons to Atoms
For nine episodes, AI lived in software — and when it was wrong, a human stood between the output and the world. This episode is about the moment the human steps out from between. A robot boat rescues two downed pilots in the Strait of Hormuz. A $900 hobby drone disarms a man with a magnet. An AI catches the cancer every human missed. The same question, asked five times: who was standing between the machine and the world? Physical AI is not coming — it's here. The fork it creates runs through every job, every farm, every kid picking a major this fall: step out, or step up. Electrons became atoms. And atoms don't have an undo button.
26 Jun 2026
EP009: The Next Manhattan Project
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 the Anthropic constitution's priority hierarchy, Dario Amodei's 25% catastrophe estimate, the Fable 5 shutdown timeline, and the All-In podcast's dissection of what went wrong — including Chamath feeding Dario's own essays into Claude for a psychological analysis of its creator.
30 May 2026
EP008: Whose Values Are in the Model?
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-model test on the same question. Plus: the AI, Honestly Trust Framework — a paste-ready instruction set for any AI session.
17 May 2026
EP007: The Elephant and the Dragon
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, in UN standards bodies, in fusion labs, and in a government archive of 162 declassified files describing physics no one has explained yet. Kyle, Kate, and Morgan break down what the summit actually resolved, what the five real AI stakes are, why foreign state media is showing up at American permit hearings, and what it means that AI is now finding physics in plasma that human researchers missed entirely.
3 May 2026
EP006: Plan B
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 register the show built for this episode — twelve of them genuinely new to AI — to take to your next IT review.
18 Apr 2026
AI at Work
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.
12 Apr 2026
The War Came for the Cloud
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 connecting nuclear power to AI infrastructure to a century of Middle East resource conflict. Kyle's History Drop: Operation Tidal Wave, Ploiești, August 1, 1943.
No clean answers. All positions held.
3 Apr 2026
Who's Driving This Thing?
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 calls "a wild guess."
• Anthropic's 81,000-person study across 159 countries: 81% say AI is delivering. 67% net positive. And teachers are observing cognitive atrophy in students — not predicting it, seeing it.
• Paul Conyngham used ChatGPT and AlphaFold to help design a personalized mRNA cancer vaccine for his dying dog Rosie. Twelve weeks later, she was chasing rabbits.
None of those things cancel each other out. That's the actual state of AI right now.
Sources and transcript: kipdavis.com/ep003
27 Mar 2026
Automating the Wrong Things
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 because the foundation it ran on didn't hold.
Takeaway: The Driver Check — three questions someone in the room needs to answer before your next AI initiative.
19 Mar 2026
Should We Actually Trust This Thing?
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.
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