In the middle of the twentieth century, the existential threat posed by nuclear weapons seemed inevitable. The number of countries with nukes was climbing rapidly, and the idea of stopping the nuclear arms race seemed like a pipe dream.

But that’s exactly what happened. Over the course of 60 years, nations around the world agreed to nuclear red lines, slowdowns, and even disarmament. How did this happen? Largely because of technology.

The biggest obstacle to agreeing on nuclear red lines was that adversaries couldn't trust any promise the other made. They needed to know the number of warheads, the amount of enriched uranium, or whether a nuclear device was for a weapon or a power plant. None of that was possible until we built the tech needed to verify those things.

Today, we're in a similar situation with AI. For adversaries like the United States and China to agree on reasonable AI red lines on issues like bioweapons, cyber hacking, or the risk of recursive self-improvement, they first need to be able to trust each other. We urgently need to build the verification technology that would make that trust possible.

In this episode, Tristan sits down with two experts in this field to discuss the kinds of verification technology we need for AI, the challenges of building it, and the world it could unlock if we do. Tim Fist is the Director of Emerging Technology Policy at the Institute for Progress, and Janet Egan is Senior Fellow and Deputy Director for the Technology and National Security Program at the Center for New American Security.

Your Undivided Attention is produced by the Center for Humane Technology. You can find a transcript of this episode on our Substack.

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Anthropic’s open letter warning about recursive self-improvement and calling for a pause in development.

The website for the Center for AI Standards and Innovation (CAISI)

Further reading on the different mechanisms of verification for international AI governance.

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Correction: Tim referred to the CargoScan technology as being jointly developed by the US and the USSR. It was actually developed solely in the US and administered in Soviet nuclear facilities.

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We often think of the challenges created by technology as separate and disconnected, so trying to solve them feels like playing the world's hardest game of Whac-A-Mole.

What if, instead, we tackled them at the root by identifying the patterns in design, development, and deployment that are causing these issues? Once we understand what's driving inhumane tech, we can develop a set of principles for building humane tech.

In this week’s episode of Your Undivided Attention, Aza Raskin sits down with fellow CHT co-founder Randy Fernando to walk through CHT's Seven Principles of Humane Technology. For each principle, they draw on real-world examples from the podcast and beyond to clearly illustrate how these principles (and their absence) show up in the world.

There’s so much more here than can go into a single podcast. If you want to go deeper, visit humanetech.com/course and sign up to learn more.

Your Undivided Attention is produced by the Center for Humane Technology. Follow us on X: @HumaneTech_ and subscribe to our Substack.

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What Happened in Vegas with Natasha Dow Schüll

Down the Rabbit Hole by Design. Guest: Guillaume Chaslot

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The Invisible Cyber-War with Nicole Perlroth

Anthropic’s Mythos Has Changed Cybersecurity Forever. What Now?

How OpenAI's ChatGPT Guided a Teen to His Death

Attachment Hacking and the Rise of AI Psychosis

Digital Democracy is Within Reach with Audrey Tang

The Tech We Need for 21st Century Democracy with Divya Siddarth

Mind the (Perception) Gap with Dan Vallone

CORRECTIONS

Aza incorrectly named Tina Rosenberg as one of the founders of Solutions Journalism. Her organization's name is the Solutions Journalism Network.

Aza stated that “chatbots are better than any human at persuading people out of conspiracy theories.” This is in reference to a study that found AIs to be very slightly more persuasive than human experts; we can’t extrapolate from that that they are better than any human. The point stands that they are remarkably good persuasion machines.

Aza referred to EO Wilson as the “father of evolutionary biology,” but the field he is largely credited with founding is sociobiology.

Aza cited Spain and Denmark as examples of countries that have banned social media for teens. However, these countries have only proposed such bans; they have not been enacted.

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A generation ago, the world's critical infrastructure was physical. Today, it’s largely digital. Your bank vault is a database, your filing cabinet is a server, your car is a robot on wheels. And in a world where these systems are mostly secure, life is more convenient and efficient. But all that comes into question when an AI system can break through the security that runs the world.

That’s what’s happened with Claude Mythos, Anthropic’s most powerful AI model yet. In a very short time, Claude found thousands of flaws and vulnerabilities in the software that runs the world, in every major operating system and web browser — systems that human security researchers had thought were secure for years.

How do we live in a world where a private company suddenly has a skeleton key that can unlock the entire digital world with little oversight or accountability? And what does Mythos mean for all of us who rely on digital security to go about our lives?

In this episode, we speak with two cybersecurity experts to answer these questions:

Josephine Wolff is a professor of cybersecurity policy at Tufts University, where she focuses on the economic impact of cyberattacks.

Fred Heiding is a research fellow at the Defense, Emerging Technology, and Strategy Program at Harvard's Kennedy School of Government.

Your Undivided Attention is produced by the Center for Humane Technology. Follow us on X: @HumaneTech_ and subscribe to our Substack.

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The Claude Mythos System Card

The Project Glasswing announcement

“Black-hat LLMs,” a talk on AI’s hacking capabilities by senior Anthropic researcher Nicholas Carlini

You'll See This Message When It Is Too Late: The Legal and Economic Aftermath of Cybersecurity Breaches

by Josephine Wolff

“America’s Endangered AI: How Weak Cyberdefenses Threaten U.S. Tech Dominance,” by Fred Heiding and Chris Ingles

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One of the most common arguments you hear from company executives racing to develop super-intelligent AI is that it will cure cancer. It’s an incredibly powerful and seductive promise.

If superintelligent AI really can cure cancer, then anyone who stands in the way of it, anyone who wants to slow it down — even because of its serious risks — is essentially letting people die. In fact, the biggest risk would be going too slowly. But what if a superintelligent AI isn’t actually capable of solving cancer in the way it's been described? What if we're being sold a false promise to justify a dangerous race?

That’s exactly what our guest this week argues is happening. Dr. Emilia Javorsky is a physician, public health researcher, and director of the Futures Program at the Future of Life Institute. She's worked across scientific research, clinical trials, tech startups, and AI policy. Emilia recently wrote a paper titled “How AI Can and Can't Cure Cancer,” in which she argues that the promise of superintelligence curing cancer falls apart under scrutiny.

Emilia lost a parent to cancer, so her criticism of this promise comes from a place of real concern, not cynicism. It also comes from her belief that AI can be really revolutionary for medicine, if we build it the right way.

Your Undivided Attention is produced by the Center for Humane Technology. Follow us on X: @HumaneTech_ and subscribe to our Substack.

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How AI Can and Can’t Cure Cancer by Emilia Javorsky

The Emperor of All Maladies by Siddhartha Mukherjee

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CLARIFICATIONS:

• Emilia’s claim that “the doubling rate of medical knowledge has gone from 50 years in the 1950s down to 73 days” comes from an oft-cited 2011 paper from the NIH. However, this paper does not include any methodology for arriving at this claim.
• Emilia stated that we have yet to cure any complex, chronic disease in humans. However, we have been able to cure Hepatitis C, which is considered a complex infectious disease, and we have managed to effectively cure some types of Leukemia

Correction: Tristan incorrectly paraphrased a quote from Charlie Munger about incentives. The actual quote is “The basic rule of incentives is you get what you were owed for. So if you have a dumb incentive system, you get dumb outcomes."

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Our guest this week is David Dalrymple, who goes by Davidad. Davidad is one of the world's foremost and early researchers of AI “alignment:" how we get AI systems to act the way we want them to.

In order to do that, Davidad has taken on the strange role of being like a therapist to AI systems. He interrogates why they say and do the things that they do, probing them, asking them questions, analyzing their answers. And what he’s come to realize is that AI models have really different ways of seeing the world than people do. They have these quirky, confusing, and sometimes concerning behaviors, especially when you ask things like: what does an AI model understand about itself?

In this episode, we’re going to hear from Davidad about his research, how it’s changed the way he thinks about AI, and what his findings mean for how we build, deploy, and use AI products. His conclusions are unconventional, controversial — and worth grappling with as AI reshapes our world.

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Anthropic’s new constitution for Claude

“What Is It Like to Be a Bat?” by Thomas Nagel

More information on the Bodisattva

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Corrections:

• When we recorded this episode, Davidad was Program Director at UK ARIA. In April, 2026 he started his own alignment initiative.
• Davidad said that Anthropic started doing "constitutional AI at scale” in 2024 but they first pioneered constitutional AI in 2022.
• Davidad said that the “lifespan of an AI mind…is hours at most of a conversation.” He is correct that most conversations with an AI last only a few minutes but since context windows are measured in tokens, not time, you can't set an upward time limit.

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Today on the show, we’re bringing you a recent conversation Tristan and Aza had with Oprah Winfrey on her podcast, The Oprah Podcast, taped in front of a live studio audience.

Tristan and Aza first met Oprah as guests on her 2024 special, "AI and the Future of Us," which offered an introduction to the AI Dilemma. This conversation goes much deeper, giving a full picture of the profoundly anti-human future that our current path on AI is moving us toward — and what we can do to steer away from it.

Tristan and Aza also did a Q+A with the audience, moderated by Oprah. Audience members shared their own experiences with AI and asked incisive, critical questions that you might have yourself.

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See "The AI Doc"

Read CHT’s AI Roadmap

Join The Human Movement

Oprah's special "AI and the Future of Us"

Watch Tristan’s TED talk

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Here’s Our Roadmap to a Better AI Future

A Conversation with the Team Behind "The AI Doc"

The AI Dilemma

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In order to shift the incentives of AI — the trillions of dollars in investment, the race to geopolitical power and dominance — it’s not enough to simply understand the problem, we need real action.

That’s why CHT is proud to release "The AI Roadmap," a report outlining seven core principles for how AI should be built, deployed, and governed, each grounded in real, implementable solutions across three domains: norms, laws, and product design.

In this episode, Camille Carlton and Pete Furlong from CHT’s policy team explore the concrete steps we can take today to get off the default path and forge a better AI future. You can read “The AI Roadmap” on our website: humanetech.com/ai-roadmap

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The AI Roadmap

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CLARIFICATIONS

In this episode, Tristan includes Spain in a list of countries that are all banning social media for underage teens. The Spanish law that would do this still needs parliamentary approval.

At one point, Tristan says, “We now have age gating in every Apple device.” Although Apple has the capability to introduce age restrictions across its devices, such restrictions are only in place for residents of Louisiana, Utah, and several other countries to comply with local laws - not across the rest of the U.S.

In a discussion of whistleblower protections, Pete Furlong mentions laws in New York, California and Colorado that all try to address the broader issues around transparency (of which whistleblower protections are a piece). The laws are CA SB53, which has whistleblower protections; the RAISE Act in NY, which was amended to include the same provisions as CA SB53; and the Colorado AI Act, which does not have whistleblower protections, but does require risk assessments and transparency measures, consistent with the other parts of the principle.

At one point Tristan discusses the recent skirmish between Anthropic and the U.S. Department of War, saying, “Anthropic’s downloads surges by like 250% or something like that.” It was actually daily active users, not downloads, which tripled in the first quarter of 2026, according to the company. The number of paid subscribers doubled.

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In two landmark cases, juries in California and New Mexico found Meta and Google liable for creating addictive, harmful products and failing to protect children from exploitation and abuse. These verdicts signal that the era of tech impunity may finally be closing. State attorneys general are finding ways around the broad immunity of Section 230 — seeking not just fines, but changes to the design of these products.

Our very own Aza Raskin testified at the New Mexico trial as a fact witness, drawing on his firsthand experience as the inventor of infinite scroll, one of the core mechanics of addictive design. In this episode, Tristan and Aza discuss what it was like to take the stand for tech justice, what the companies knew and when, and why the real significance of these cases lies not in the dollar amounts but in the injunctive relief still to come.

In the 1990s, a series of landmark cases held Big Tobacco accountable for the harms of their toxic products. This could be that moment for social media.

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Further reading on the New Mexico trial

Further reading on the California trial

Arturo Béjar’s “Broken Promises” Report

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