Karpathy’s AI gap, free Adobe clones, and AI’s effect on persistence

OpenAI chief economist Ronnie Chatterji joins Reid Hoffman and Aria Finger to unpack when AI will show up in the productivity statistics and what it means for jobs. Ronnie explains why the shift to AI agents is still early for most companies, why legal and HR teams may adopt fastest, and why he doubts AI will triple unemployment soon. They also discuss AI and entrepreneurship, the care economy, GDPval, and trade policy. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

After Democrats win the House and Senate in the 2026 midterms, Reid Hoffman sees a clear demand: an economy that works for everyday Americans. He and Aria Finger examine Democratic breakthroughs in Texas and across the South, and what those candidates got right. Reid tackles the tension in his own political giving: why he keeps donating while backing efforts to get big money out of elections. They also discuss why Elon Musk’s spending fell short and what tech leaders who embraced the Trump administration must do to rebuild trust. From campaign donations to data centers, the conversation returns to one question: what are you doing for the American people? For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

Reid Hoffman and Aria Finger weigh in on AI policy heading into the midterms, from Bernie Sanders and Greg Casar’s proposal to ban superintelligence to Anthropic’s own frontier AI safety bill. They map the political coalitions forming around AI regulation, including a bipartisan push from Chris Murphy and Josh Hawley to hold developers liable when AI agents hack. Reid explains why pausing AI for a congressional process would be a mistake. He argues AI companies should work with any administration but stay transparent about political spending, and that government can borrow expertise through councils and working groups. He also makes the case for his dual mandate: keep America in the lead on AI while making sure it helps people now. They also examine Satya Nadella’s call to treat AI models as potential insider risks, the public feud between Factory and Cognition, and whether VCs can still back competing AI startups. Along the way, Reid uses water-cooler conversations to explore where company IP ends and human nature begins. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

What happens to software businesses when AI makes their products easier to recreate? Reid Hoffman and Aria Finger explore what a developer’s effort to rebuild seven Adobe apps with Claude means for software pricing, competitive moats, and intellectual property. They also unpack Andrej Karpathy’s AI capability gap: why everyday users and researchers inside frontier labs have very different views of what AI can do. Then, they examine a randomized study showing that brief AI assistance caused—not just correlated with—reduced persistence after that help was removed. Reid makes the case for AI as a cognitive exoskeleton—and for designing tools that build grit alongside capability. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

Only 36% of AI-aware Americans expect AI to mostly help their country, according to a Gallup and Microsoft survey. Reid traces that unease to three forces: fear that the future will be worse than the present (which AI amplifies when prosperity has not reached much of the country), an instinct to protect what Americans have, and doubts about who will share in AI’s gains. With Aria Finger, he makes the case for winning at AI while spreading its prosperity, including through AI and robotics in manufacturing. They also examine HackerRank’s Chakra AI interviewer and why hiring should remain a team decision. Finally, OpenAI’s plan to test visual ads in ChatGPT raises another question: can a free AI assistant earn trust while carrying advertising? Reid calls for a clear separation between ads and answers, enforceable commitments, and third-party audits. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

Protecting people online shouldn’t depend on whether a company keeps its safety tools effective, affordable, and available. ROOST founding president Camille François joins Reid Hoffman and Aria Finger to explain how a nonprofit is turning trust and safety into shared infrastructure. She digs into why social media was a blip in how we build tech, what Discord did after Twitter bought Smyte and shut it down, and how two people running a fandom app caught 19 cases of child exploitation in two weeks. A daycare switching its Alexa wake word to "computer" becomes a lesson in how the next generation should relate to machines. They also examine why policy without tools is ineffective, how a shared safety commons helps startups compete, and what it will take to make safety as invisible as encryption.

Reid Hoffman sees promise in an AI buildout and wants its financial risks in the open. He and Aria Finger unpack a Financial Times report on up to $300 billion in AI infrastructure guarantees largely absent from the balance sheets of technology companies. They explore California Governor Gavin Newsom’s push for independent lab auditors and an AI kill switch, and discuss what effective federal oversight could look like. Reid explains how these proposals differ from the 2024 bill he opposed and makes the case for an international cyber treaty. A Truth Social poll to rename AI also prompts a debate about why “artificial” sells the technology short.

Read “AI for All Americans” on Substack: ⁠https://reidhoffman.substack.com/p/ai-dual-mandate⁠

Reid Hoffman and Parth Patil argue that if your AI experiments always work, you’re not pushing hard enough. Wrapping up the Tokens to the Future series, they revisit seven grantees’ experiments with $1,000 a week each in tokens. Their conversations span Dungeons & Dragons worldbuilding, an iOS game built in a weekend, and personal agents whose usefulness compounds over years. They explore how AI can shift more people from execution-focused “cog jobs” to creative “spark jobs,” and why expertise can sometimes make new possibilities harder to see. Throughout, they ask what to delegate and where story, pacing, and judgment still demand human direction. Plus, Parth’s example of ChatGPT picking seven for a “random” number raises a bigger question: how do you get surprise from a system built to predict?

Infosec analyst Dozie Anazia joins Reid Hoffman and Parth Patil to explain how AI is transforming cyberattacks, penetration testing, and autonomous defense. Drawing on projects like the Breakfast news app and the Aegis URL scanner, he shows how Claude and Codex can build software and uncover XSS vulnerabilities. Hear specific attack vectors, defensive patterns, and what still counts as proof of identity in an AI-driven world. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/