Garrison LovelyEvery podcast appearance, updated as new ones drop

Read the full transcript here. Could AI simultaneously be an extraordinarily powerful technology and an economic bubble, and why would those possibilities not contradict each other? What does the history of the internet bubble suggest about the comforting idea that a financial crash would make AI itself go away? How should we think about the enormous investments flowing between AI companies, chipmakers, and data centers, and could their financial risks become dangerously correlated? Are concerns about AI's energy use justified, while claims about its water consumption are sometimes missing the relevant denominator? What do the boosters get right about abundance, productivity, medicine, and education, and what do they overlook about democratic control and human agency? Could a frictionless AI mediated life make people less capable through what has been called cognitive surrender? What would it mean to stop the race to build universal labor replacing machines while continuing to develop forms of AI that solve genuinely valuable problems? Garrison Lovely is a freelance journalist and author. His writing on artificial intelligence and its political economy has appeared in The New York Times, The Nation, Jacobin, Nature, Bloomberg, BBC, TIME, The Guardian, The Verge, and other publications; he was previously a Reporter in Residence at the Omidyar Network. Links: Garrison's Book: Obsolete: The AI Industry’s Trillion Dollar Race to Replace Us―and How to Stop It Staff Spencer Greenberg — Host + Director Ryan Kessler — Producer + Technical Lead WeAmplify — Transcriptionists Igor Scaldini — Marketing Consultant Music Broke for Free Josh Woodward Lee Rosevere Quiet Music for Tiny Robots wowamusic zapsplat.com Affiliates Clearer Thinking GuidedTrack Mind Ease Positly UpLift [ Read more ]

Today I’m speaking with Garrison Lovely, technology journalist and author of the new book, Obsolete: The AI Industry's Trillion Dollar Race to Replace Us — and How to Stop It (OR Books, 2026). Artificial intelligence is perhaps the most discussed and most misunderstood topic today. Even to the experts and captains of industry, the frontier large language models are essentially black boxes. AI poses many reasons to be both skeptical and optimistic, yet it also poses a fundamental threat to our current economic order and social contract. If AI succeeds, what will it mean for workers, consumers, and the huddled mass...

Today I’m speaking with Garrison Lovely, technology journalist and author of the new book, Obsolete: The AI Industry's Trillion Dollar Race to Replace Us — and How to Stop It (OR Books, 2026). Artificial intelligence is perhaps the most discussed and most misunderstood topic today. Even to the experts and captains of industry, the frontier large language models are essentially black boxes. AI poses many reasons to be both skeptical and optimistic, yet it also poses a fundamental threat to our current economic order and social contract. If AI succeeds, what will it mean for workers, consumers, and the huddled masses who do not own the multi-trillion dollar companies directing the global economy? Garrison Lovely has coined the term, Obsoleting Project to describe the goal of AI companies to build machines that outperform humans on nearly every task. It reimagines technology, not as a tool of efficiency, but rather as a tool that replaces labor full-stop. What happens to our society if they succeed? Garrison’s Obsolete is a fantastic round-up of the most important social and economic challenges posed by AI. I’m thrilled today to have Garrison on The Truth About Bullshit to understand a bit more about the Obsoleting Project. Caleb Zakarin is CEO and Publisher of the New Books Network. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today I’m speaking with Garrison Lovely, technology journalist and author of the new book, Obsolete: The AI Industry's Trillion Dollar Race to Replace Us — and How to Stop It (OR Books, 2026). Artificial intelligence is perhaps the most discussed and most misunderstood topic today. Even to the experts and captains of industry, the frontier large language models are essentially black boxes. AI poses many reasons to be both skeptical and optimistic, yet it also poses a fundamental threat to our current economic order and social contract. If AI succeeds, what will it mean for workers, consumers, and the huddled masses who do not own the multi-trillion dollar companies directing the global economy? Garrison Lovely has coined the term, Obsoleting Project to describe the goal of AI companies to build machines that outperform humans on nearly every task. It reimagines technology, not as a tool of efficiency, but rather as a tool that replaces labor full-stop. What happens to our society if they succeed? Garrison’s Obsolete is a fantastic round-up of the most important social and economic challenges posed by AI. I’m thrilled today to have Garrison on The Truth About Bullshit to understand a bit more about the Obsoleting Project. Caleb Zakarin is CEO and Publisher of the New Books Network. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today I’m speaking with Garrison Lovely, technology journalist and author of the new book, Obsolete: The AI Industry's Trillion Dollar Race to Replace Us — and How to Stop It (OR Books, 2026). Artificial intelligence is perhaps the most discussed and most misunderstood topic today. Even to the experts and captains of industry, the frontier large language models are essentially black boxes. AI poses many reasons to be both skeptical and optimistic, yet it also poses a fundamental threat to our current economic order and social contract. If AI succeeds, what will it mean for workers, consumers, and the huddled masses who do not own the multi-trillion dollar companies directing the global economy? Garrison Lovely has coined the term, Obsoleting Project to describe the goal of AI companies to build machines that outperform humans on nearly every task. It reimagines technology, not as a tool of efficiency, but rather as a tool that replaces labor full-stop. What happens to our society if they succeed? Garrison’s Obsolete is a fantastic round-up of the most important social and economic challenges posed by AI. I’m thrilled today to have Garrison on The Truth About Bullshit to understand a bit more about the Obsoleting Project. Caleb Zakarin is CEO and Publisher of the New Books Network. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today I’m speaking with Garrison Lovely, technology journalist and author of the new book, Obsolete: The AI Industry's Trillion Dollar Race to Replace Us — and How to Stop It (OR Books, 2026). Artificial intelligence is perhaps the most discussed and most misunderstood topic today. Even to the experts and captains of industry, the frontier large language models are essentially black boxes. AI poses many reasons to be both skeptical and optimistic, yet it also poses a fundamental threat to our current economic order and social contract. If AI succeeds, what will it mean for workers, consumers, and the huddled masses who do not own the multi-trillion dollar companies directing the global economy? Garrison Lovely has coined the term, Obsoleting Project to describe the goal of AI companies to build machines that outperform humans on nearly every task. It reimagines technology, not as a tool of efficiency, but rather as a tool that replaces labor full-stop. What happens to our society if they succeed? Garrison’s Obsolete is a fantastic round-up of the most important social and economic challenges posed by AI. I’m thrilled today to have Garrison on The Truth About Bullshit to understand a bit more about the Obsoleting Project. Caleb Zakarin is CEO and Publisher of the New Books Network. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today I’m speaking with Garrison Lovely, technology journalist and author of the new book, Obsolete: The AI Industry's Trillion Dollar Race to Replace Us — and How to Stop It (OR Books, 2026). Artificial intelligence is perhaps the most discussed and most misunderstood topic today. Even to the experts and captains of industry, the frontier large language models are essentially black boxes. AI poses many reasons to be both skeptical and optimistic, yet it also poses a fundamental threat to our current economic order and social contract. If AI succeeds, what will it mean for workers, consumers, and the huddled mass...

Today I’m speaking with Garrison Lovely, technology journalist and author of the new book, Obsolete: The AI Industry's Trillion Dollar Race to Replace Us — and How to Stop It (OR Books, 2026). Artificial intelligence is perhaps the most discussed and most misunderstood topic today. Even to the experts and captains of industry, the frontier large language models are essentially black boxes. AI poses many reasons to be both skeptical and optimistic, yet it also poses a fundamental threat to our current economic order and social contract. If AI succeeds, what will it mean for workers, consumers, and the huddled masses who do not own the multi-trillion dollar companies directing the global economy? Garrison Lovely has coined the term, Obsoleting Project to describe the goal of AI companies to build machines that outperform humans on nearly every task. It reimagines technology, not as a tool of efficiency, but rather as a tool that replaces labor full-stop. What happens to our society if they succeed? Garrison’s Obsolete is a fantastic round-up of the most important social and economic challenges posed by AI. I’m thrilled today to have Garrison on The Truth About Bullshit to understand a bit more about the Obsoleting Project. Caleb Zakarin is CEO and Publisher of the New Books Network. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Patrick McKenzie (patio11) is joined by Garrison Lovely, journalist and author of Obsolete: The AI Industry's Trillion-Dollar Race to Replace Us and How to Stop It, to map the three-sided debate over AI risk and why the arguments keep talking past each other. They then turn to what cheap cognition does to surveillance that already exists: FinCEN receives roughly 4 million suspicious activity reports a year and reads almost none of them, ICE agents run about a million queries against that database annually, and every podcast ever recorded is now transcribable for approximately nothing. The conversation covers capabilities denialism, ablated open-weights models, the fraud supply chain, and why AI is also unusually good at writing the Regulation E letter that gets your bank to fix your problem. – Full transcript available here: https://www.complexsystemspodcast.com/cheap-cognition-and-the-end-of-practical-obscurity-with-garrison-lovely/ – Presenting Sponsors: Mercury , MongoDB & Chainguard Complex Systems is presented by Mercury—radically better banking for founders. Mercury's new feature Command brings an LLM directly into your banking interface, so checking balances, finding invoices, or sending a wire is as easy as asking. Apply online in minutes at https://mercury.com/ . What's the point of building faster with AI if your database can't keep up? MongoDB's native data model mirrors the language LLMs already speak. Ship at the speed of AI while staying ACID compliant at Fortune 500 scale. Start building at https://mongodb.com/ai . If attackers are using AI to weaponize code faster than any team can review it, your scanners won't save you. Chainguard builds libraries and container images from source, verified all the way down, with near-zero CVEs and zero malware. Build safely at https://www.chainguard.dev/ . – Links: Obsolete: The AI Industry’s Trillion Dollar Race to Replace Us―and How to Stop It: https://www.amazon.com/Obsolete-Power-Profit-Machine-Superintelligence/dp/1682196305 – Timestamps: (00:00) Preview (00:43) Intro (01:51) The three-sided debate over AI risk (05:32) Power, politics, and the tech backlash (09:49) Capabilities denialism and AI tells (14:54) The obsoleting machine (17:09) The Turing test is dead (18:56) Languages for free, then software engineering (22:37) Sponsors: Mercury | MongoDB (25:09) How high up the stack do the models decide? (29:11) Surveillance and cheap cognition (32:38) Podcasts, FinCEN, and the end of practical obscurity (38:35) Section 702 and the data broker loophole (39:35) Sponsor: Chainguard (40:55) Section 702 and the data broker loophole (cont’d) (47:23) Institutional friction and a million ICE queries (53:29) Security through obscurity no longer works (54:54) Scams, fraud, and ablated models (1:00:20) Personal utility versus societal backlash (1:02:16) AI as a tool for redress (1:06:34) State capacity and regulating what you understand (1:12:37) Tobacco, nuclear, and AlphaFold: strangle it or steer it (1:18:37) Where to find Garrison and the book (1:20:32) Wrap

Read the full transcript here. What does effective altruism look like from a leftist / socialist perspective? Are the far left and EA the only groups that take radical egalitarianism seriously? What are some of the points of agreement and disagreement between EA & socialism? Socialists frequently critique the excesses, harms, and failures of capitalism; but what do they have to say about the effectiveness of capitalism to produce wealth, goods, and services? Is socialism just a top-down mirror of capitalism? How difficult is it to mix and match economic tools or systems? Why is the left not more tuned into AI development? What are the three main sides in AI debates right now? Why are there so many disagreements between AI safety and AI ethics groups? What do the incentive structures look like for governments regarding AGI? Should the world create a CERN-like entity to manage and regulate AI research? How should we think about AI research in light of the trend of AI non-profits joining forces with or being subsumed by for-profit corporations? How might for-profit corporations handle existential risks from AI if those risks seem overwhelmingly likely to become reality? Garrison Lovely is a Brooklyn-based freelance journalist with cover stories in The Nation and Jacobin and long-form work in BBC Future , Vox , Current Affairs , and elsewhere. He has appeared on CBS News Sunday Morning , The Weather Channel , The Majority Report , and SiriusXM . He hosts the podcast The Most Interesting People I Know . His writing has been referenced in publications like The New Yorker (by Ted Chiang), ProPublica , New York Magazine , The New Republic , and GQ . Read his writings on his Substack ; learn more about his work at his website, garrisonlovely.com ; or email him at tgarrisonlovely@gmail.com . Further reading "13 Ways Some Companies Make Money While Causing Harm", by Spencer Greenberg <a href="https://jac