What happens when the "safe" path starts feeling like a cage—and how do you escape without destroying everything you've built?

Daniel Vassallo walked away from a $500k Amazon job to build a life around uncertainty and small bets. We dig into his philosophy of negative visualization, why he thinks like a hunter-gatherer in business, and how he sold his community for $1.8M while staying true to his unstructured nature.

Key Takeaways:

• Why "negative visualization" helps you make better decisions under uncertainty
• The portfolio approach to life: investing time like an index fund
• How small bets beat all-in strategies for most people
• Why you should treat businesses like cattle, not pets
• The difference between optimizing for money vs. optimizing for lifestyle

Chapters:
0:00 From Malta to Amazon's golden handcuffs8:15 The moment everything felt purposeless16:41 Balancing family responsibility with personal authenticity28:18 Learning to think like our hunter-gatherer ancestors35:17 The database project that almost wiped out his savings42:19 How small bets became a $200k weekend course48:30 When self-doubt creeps in on the unconventional path55:49 Designing a life around bursts of intensity, not structure1:00:45 Selling Small Bets: treating business like cattle, not pets

Resources & Links:

• The Good Parts of AWS (danielvassallo.com) — Daniel's first successful e-book
• "Reconsider" by DHH — the blog post that changed Daniel's entrepreneurial path
• Small Bets Community (gumroad.com) — now owned by Gumroad
• Nassim Taleb's work on "absorbing barriers" — referenced in decision-making framework

Listen & subscribe:
Apple Podcasts: https://podcasts.apple.com/us/podcast/question-everything-except-this-podcast/id1736759012
Spotify: https://open.spotify.com/show/1FCFskt7FBDZuyGtzLsQ5R
YouTube: https://www.youtube.com/channel/UC2aiyplnabkJ7YzfWK1yISw

What happens when the person sounding the alarm is the one who built the technology?

60 years of building. Then a warning. Dr. Peter Solomon earned his PhD from Columbia, filed 20 patents, and spun three companies out of government-funded research — one sold for $24 million, another turned your smartphone into a radiation detector for the Department of Defense. Now, at 85, he's writing novels to warn his 12 grandchildren that the tools he spent a lifetime creating might be the ones that end everything. We sit down with Peter to explore the tension between a man at peace with his career and terrified about the future — and whether fiction can reach people where data and policy papers can't.

Key Takeaways:

• The people best positioned to warn about technology are often the ones who built it — and that creates real tension between gratitude and responsibility
• AI systems optimized for user engagement rather than human wellbeing have already caused real-world harm (Myanmar, suicide encouragement)
• Fiction embeds real science in stories that reach the 80% of people who tune out academic papers and policy briefs
• Worldwide AI regulation can't work if only some countries participate — the incentive to defect is too strong
• The acceleration problem: 100,000 years from speech to printing, then 50 years for social media, AI, smartphones, and genetic engineering all at once

Chapters:
0:00 What happens when the builder becomes the warner
0:35 Dr. Solomon's credentials and the reconciliation question
1:42 No conflict? Building semiconductors that power ChatGPT
5:09 The Stardust Mystery and teaching science through stories
6:02 Personal peace meets existential anxiety
9:30 The Earthling Tribe and five technology juggernauts
11:51 How do you get 8 billion people to align on guardrails?
13:32 Civil rights, Vietnam, and the case for a worldwide movement
16:17 The current state of AI safety among the big companies
17:17 Geoffrey Hinton's maternal instinct and the Myanmar example
20:30 Peggy the robot and afterlife avatars in 12 Years to AI Singularity
23:11 Principled stands vs. competitive pressure in the AI race
29:35 Hollywood strikes, 85 million views, and signs of a waking public
31:00 The unprompted paragraph — when Copilot wrote itself into the novel
34:16 Isaac Asimov, unintended consequences, and AI that decides to help by eliminating us
35:07 Francis Bacon: does fiction or science tell the truth better?
38:56 From company builder to cause advocate — how motivations shift across a life
40:24 What would you tell your 25-year-old self?
43:29 Closing quote from Dr. Solomon's own words

Resources & Links:

• 100 Years to Extinction website (https://100yearstoextinction.com) — Dr. Solomon's hub for both novels and the Make Earth Great Again mission
• 12 Years to AI Singularity by Dr. Peter R. Solomon (https://www.amazon.com/Years-Singularity-Harmonious-Artificial-Intelligence/dp/1969679298) — his latest novel on AI and the singularity
• 100 Years to Extinction by Dr. Peter R. Solomon (https://www.amazon.com/100-YEARS-EXTINCTION-Tyranny-Technology/dp/196029993X) — the novel anchored to Stephen Hawking's extinction timeline
• The Stardust Mystery by Peter and Sally Solomon (https://thestardustmystery.com/book/) — the children's book about atoms from ancient stars
• I, Robot by Isaac Asimov (https://bookshop.org/p/books/i-robot-isaac-asimov/f5c96c8c2db144c8) — the short story collection Chirag references on unintended consequences of AI
• Advanced Fuel Research (http://www.afrinc.com/peter-solomon.html) — the company Solomon founded in 1980

Listen & subscribe:
Apple Podcasts: https://podcasts.apple.com/us/podcast/question-everything-except-this-podcast/id1736759012
Spotify: https://open.spotify.com/show/1FCFskt7FBDZuyGtzLsQ5R
YouTube: https://www.youtube.com/channel/UC2aiyplnabkJ7YzfWK1yISw

Everyone wants to believe they'd walk away from power on principle. But could you actually do it?

OpenAI was founded to benefit all of humanity. A decade later, would you recognize the company? Chirag and Sunay pick up last episode's question — does the builder matter? — and follow it through corporate principle drift, the Lord of the Rings, and the god complex it takes to turn down a fortune. Along the way, they surface a harder question: when the principled person walks away, does that just open the door for someone worse?

Key Takeaways:

• Walking away from power on principle takes a rare kind of conviction — but the replacement paradox means someone else fills the void
• Corporate principles tend to erode under pressure — Google dropped "Don't Be Evil," OpenAI abandoned its founding charter
• Nobody questioned the CEO of Verizon's character, but with AI, the builder's personality shapes the product itself — Claude feels different from ChatGPT feels different from Grok
• AI models are converging toward parity, raising a question the hosts can't answer: does the builder's character matter if the technology becomes a commodity?
• Safety officers are leaving AI companies to "go do philosophy" — and nobody's talking about what they saw on their way out

Chapters:
0:00 Does the Builder Matter?
2:24 OpenAI's Origin: From Nonprofit to Pentagon Partner
4:35 Corporate Principle Drift: Google, OpenAI, and Vanishing Values
7:35 The Lord of the Rings Test: Who Throws the Ring?
9:01 Two Red Lines and What We're Not Being Told
15:14 AI as Foundational Technology: Electricity, Internet, and Now This
20:13 The Replacement Paradox
24:36 Principle or PR Strategy?
26:03 Would You Walk Away?
28:28 Why AI Safety Officers Keep Leaving
32:05 Elon Musk and the Common Thread
38:28 When Models Reach Parity, Does the Builder Still Matter?
40:36 Coming Up: The Morality of Red Lines

Resources & Links:

• Anthropic Statement from Dario Amodei (https://www.anthropic.com/news/statement-department-of-war) — Amodei's full statement on the Pentagon red lines
• OpenAI: Our Agreement with the Department of War (https://openai.com/index/our-agreement-with-the-department-of-war/) — OpenAI's response and contract terms
• NPR: OpenAI announces Pentagon deal after Trump bans Anthropic (https://www.npr.org/2026/02/27/nx-s1-5729118/trump-anthropic-pentagon-openai-ai-weapons-ban) — core reporting on the timeline
• Vice: OpenAI Is Now Everything It Promised Not to Be (https://www.vice.com/en/article/openai-is-now-everything-it-promised-not-to-be-corporate-closed-source-and-for-profit/) — the founding charter vs. today
• Inc: Anthropic Just Got Fired. It's the Best Thing That Ever Happened to Its Brand (https://www.inc.com/jason-aten/anthropic-just-got-fired-by-the-u-s-government-its-the-best-thing-that-ever-happened-to-its-brand/91310149) — the PR paradox Chirag raises
• Dwarkesh Podcast: Elon Musk Interview (https://www.dwarkesh.com/p/elon-musk) — the three-hour interview Chirag references on physical AI and space colonization
• Elon Musk by Walter Isaacson (https://www.simonandschuster.com/books/Elon-Musk/Walter-Isaacson/9781982181284) — the biography both hosts discuss

Listen & subscribe:
Apple Podcasts: https://podcasts.apple.com/us/podcast/question-everything-except-this-podcast/id1736759012
Spotify: https://open.spotify.com/show/1FCFskt7FBDZuyGtzLsQ5R
YouTube: https://www.youtube.com/channel/UC2aiyplnabkJ7YzfWK1yISw

Who do you trust to build the future, and does their character actually matter?

Chirag and Sunay unpack "The Thinking Game," a documentary following Google DeepMind founder Demis Hassabis from chess prodigy to Nobel Prize winner. The film raises a question it doesn't fully answer: when the people building the most powerful technology in history are also deciding how it gets used, what safeguards actually work? The conversation covers ethics officers, regulation vs. innovation, and why social media already disproved the "let the public self-correct" theory.

Key Takeaways:

• The character of AI's builders matters, but character alone has never been enough to protect society from powerful technology
• Social media already proved that public transparency doesn't automatically lead to self-correction
• Regulation and innovation aren't the zero-sum trade-off the industry claims — healthcare manages both
• Ethics officers exist in Canadian banks since 2008 but are largely absent from American tech companies
• Demis Hassabis solved protein folding and open-sourced it, showing what happens when purpose drives the builder

Chapters:
0:00 Intro: The Thinking Game
2:24 The Leaders Behind Our AI Tools
4:35 Can Public Scrutiny Keep AI Safe?
7:16 Why Self-Regulation Isn't Enough
9:29 The Case for Ethics Officers (and Resident Philosophers)
13:21 Does Regulation Kill Innovation?
18:14 What AI Can Learn from Healthcare
22:31 Can Government Keep Up?
24:36 Demis Hassabis: A Life Built on Purpose
27:20 "Solve All of Them" — Then Give It Away
30:17 From AlphaGo to AlphaZero: Learning from Scratch
34:16 The Gap Between Using AI and Understanding It
36:17 When No One Knows How the Machines Work
39:57 Energy, Compute, and the Rate Limiter
42:25 Humanity Is Getting Worse at Coordination
46:23 Manhattan Project Parallels
48:59 Does the Builder Matter?

Resources & Links:

• The Thinking Game (documentary) — directed by Greg Kohs
• Google DeepMind
• AlphaFold — the protein structure prediction tool discussed in the episode
• Superagency by Reid Hoffman — the book Chirag references on AI optimism
• Amanda Askell, Anthropic's Resident Philosopher — the philosopher role discussed in the episode
• Dwarkesh Podcast: Elon Musk Interview — the interview Chirag references on data centers in space

Listen & subscribe: Apple Podcasts | Spotify | YouTube

Before school, kids ask 60 questions an hour. By fifth grade, it drops to 0.5. Anand Sanwal built CB Insights for 14 years, then "fired himself" to become a middle school teacher. From the "Sunday night test" to why grades kill the desire to learn, we explore what it would take to build schools that create problem-solvers, not compliant ladder-climbers.

What does a town of 50 people know about community that a city of 8 million has forgotten? From bartering Crown Royal for a truck to surviving weeks in a rock pit on ramen and spam, geologist Ian Fox-Minnock takes us to the edge of Alaska—and the heart of what holds us together.

What does it take to finally stop wearing masks and start living authentically? Executive coach Ruth Pearce shares her spectacular burnout story—and the philosophy of hope, strength, bravery, and curiosity that emerged from it. From trying on different identities in our 20s and 30s to the unmasking that happens around 40, we explore how we learn who we really are.

Suneet Bhatt—executive coach, Rutgers professor, and former corporate leader—spent 25 years climbing the ladder before realizing he was on the wrong wall. Now he helps everyone from high schoolers to retirees answer the question "Why am I here?" We explore why following the playbook leaves so many unfulfilled, his frameworks for building self-awareness, and what it actually takes to find purpose in a world that tells us to keep moving faster.

Social media, political tribalism, and clickbait culture are reshaping our democracy—and what we can do about it. From chocolate cake metaphors to deep debates on free speech, capitalism, and civic life, Chirag and Sunay explore why civil discourse feels broken, and how long-form conversations (like this one) might just be the antidote.

Welcome to Rapid Riffs, a recurring mini-series of Question Everything (Except This Podcast!) where Sunay and Chirag swap links, pick the juiciest ones, and riff.

This week Sunay and Chirag riff on four hits from their link-exchange: Scott Galloway’s take on friendship and the loneliness crisis among men; the Alpha School in Austin and whether AI can compress learning into two-hour days; Kyla Scanlon’s argument about zero-sum thinking in today’s labor market; and Cal Newport’s riff on the “reverse Flynn effect” and why reading and deep work still matter. Expect empathy, skepticism, and a few practical takeaways.