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Reid Hoffman

What if, in the future, everything breaks humanity's way? Possible is an award-winning, weekly podcast that sketches out the brightest version of the future—and what it will take to get there. Hosts Reid Hoffman and Aria Finger explore what’s possible with forward-thinking leaders, deep thinkers, and ambitious builders across many fields, such as technology, art, education and healthcare. These conversations center on the ways technology—and, in particular, AI—is shaping the future. In episodes, AI tools such as OpenAI’s GPT-4 and Inflection’s Pi are at work, offering informational asides, prompting guests, or demoing what they can do. Lastly, between guest episodes, Aria interviews her co-host Reid on his latest takes on what’s possible if we use technology—and our collective effort—effectively.

Possible

Reid and Aria unpack new research on AI decision-making in simulated nuclear crises—and what it reveals about the limits of machine reasoning. They explore why frontier models consistently escalated to nuclear conflict in war game scenarios, and what that says about the enduring importance of human judgment. Then Reid examines the rise of software agents that can be hired like employees, and the broader shift from hourly labor toward ownership and leverage in the AI economy. The episode closes with Reid and Aria debating AI-powered manufacturing—why automation may be the only viable path to rebuilding U.S. industrial capacity, and why embracing AI-amplified industries is essential for long-term competitiveness.

The AI Kept Choosing War

In this episode of Possible, Reid and Aria talk with Ivan Zhao, co-founder of Notion, about what happens when intelligence becomes abundant rather than scarce. Zhao shares his philosophy of treating computing as a material — like steel or steam — and why organizations must be built for human scale in an AI-driven world. From Renaissance cities to Xerox PARC, the conversation traces a shift from productivity software to cognitive infrastructure, and arrives at a clear conclusion: in an AI-powered future, human judgment, taste, and values matter most.

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

How Notion rebuilt for the age of AI

In this episode, Reid and Aria are live from New York as they unpack why predictions about the “death” of San Francisco and New York keep missing the mark and how network effects continue to anchor these cities as the world’s leading tech and finance hubs. Reid also shares advice for young founders choosing where to build and explains how to align your startup with the right economic network by breaking down lessons from companies like Shopify and Spotify that scaled outside Silicon Valley. The conversation then shifts to the future of AI in biotech as Reid offers an update on Manas AI and why curing disease hinges on regulation as much as technological breakthroughs. The episode closes with a candid discussion on media, political pressure, and the dangers of “pre-obeying” authority. Reid reflects on free speech, institutional courage, and what a volatile post-midterm landscape could mean for American democracy.

Network effects, AI medicine, and the fight for free speech

In this episode, Reid and Aria examine a growing tension at the heart of the AI moment: whether these tools are actually saving time or simply accelerating the pace, volume, and expectations of work. The conversation touches on workflows across investing, engineering, legal, and management and why faster output rarely means less work. From there, Aria and Reid engage with competing essays about the AI moment, pushing back on both apocalyptic predictions of immediate white-collar collapse and dismissive claims that today’s AI are merely “tool-shaped objects.” The episode closes with a reframing of AI not as an inevitable force of gravity, but as a strategic capability that rewards those who are able to learn how to adapt more effectively as the landscape continues to shift.

Does AI really save time?

In this episode, Reid and Aria unpack the growing panic around layoffs, the actual impact of AI on work, and why autonomous agents are reshaping productivity faster than most people realize. Reid points out that today’s layoffs are being erroneously blamed on AI, rather than on economic turbulence and post-COVID refactoring. The conversation then turns to the viral ClawdBot/Moltbot/OpenClaw moment and explores what it means for productivity, security, and trust when autonomous agents can not only act across email, calendars, files, and financial systems, but also interact and gather with each other. The episode closes with a pivot to politics, as Reid explains why Silicon Valley and business leaders can no longer claim neutrality in today's polarized political landscape, arguing that real leadership requires speaking up before it’s too late.

Making sense of the layoff wave

Before NFTs were a category and crypto was an industry, two artists released 10,000 characters into the world with no roadmap, no pitch, and no expectations. What started as an art experiment in code ended up flourishing into a movement about ownership and identity. In this episode of Possible, Reid sits down with Matt Hall and John Watkinson, co-founders of Larva Labs and creators of CryptoPunks, to trace how a small creative experiment became one of the most influential cultural phenomenons of the internet era. They reflect on what it means for art to live on-chain, why decentralization was a design choice rather than a slogan, and how digital identity became one of the most valuable real estates online. From museums and blockchains to profile pictures, permanence, the conversation explores how letting go of narrative control can allow culture and community to write the story themselves.

CryptoPunks creators: from art experiment to cultural movement

This episode is our third and final installment of a special, three-part Reid Riffs miniseries focused on what it actually means to become AI-native. In this episode, Parth shares how founders can rethink work by breaking problems into modular pieces, orchestrating AI agents in parallel, and collapsing timelines that once required entire teams days of iteration. Using real-world examples like coding agents that tackle week-long engineering challenges to reimagining how content can be localized across languages and regional markets, the conversation explores how AI enables small teams to operate with outsized leverage. Along the way, Reid and Parth discuss what separates real AI traction from “AI theater,” how founding teams are evolving, and why the most powerful AI often works best when it fades into the background, quietly amplifying human creativity and ambition.

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

Reid Riffs with Parth Patil on AI-Native Startups (Part 3 of 3)

This episode is our second installment of a special, three-part Reid Riffs miniseries focused on what it actually means to become AI-native. Instead of a news or headline-driven conversation, Reid sits down one-on-one with AI engineer and strategist, Parth Patil, for a deeper exploration of how AI is changing the way people and organizations work. In this second episode, they discuss why most enterprises are still talking about AI without truly integrating it (“AI theater”), and how the real shift begins inside everyday workflows rather than strategy decks. Together, they explore how language models and agents can reduce friction in communication and coordination, reinvent meetings, and turn unstructured information into actionable insight (with examples). They also examine how AI-powered analysis, automation, and parallelized agents are accelerating decision-making, reshaping roles, and moving work from execution toward orchestration. Parth and Reid both highlight how an open mindset and experimentation are required to collaborate effectively with these systems as AI evolves from a productivity tool into a foundational layer for thinking and leadership.

Subscribe below to catch the third episode for startup founders and their early teams building AI-native companies. 

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

Reid Riffs with Parth Patil on Enterprise AI Integration (Part 2 of 3)

This is the first of a special, three-part Reid Riffs miniseries. Instead of a news-and-headline driven conversation, Reid sits down one-on-one with Parth Patil, an AI engineer and strategist, for a deeper exploration of what it actually means to become AI-native. In this first episode of the series, Parth and Reid discuss how individuals can better leverage LLMs, agents, and creative tools daily. They trace the shift from seeing AI as a productivity boost to understanding it as a meta-tool, as well as unpack techniques like role-based prompting, meta-prompting, and voice as a high-bandwidth thinking interface. Along the way, they discuss the humility required to collaborate with these systems, the move from a single copilot to orchestrating fleets of specialized agents, and how these tools are already reshaping workflows.

Subscribe below to catch the second episode on how large companies can integrate AI, as well as the third episode for startup founders and their early teams building AI-native companies. 

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ 

01:07 – When ChatGPT became an “everything tool” 
03:11 – Role-based prompting and meta-prompting 
07:04 – Ego, humility, and the GPT-4 inflection point 
10:41 – Why voice is the highest-bandwidth interface 
14:15 – Choosing models and building an AI stack 
18:09 – From one copilot to fleets of agents 
21:11 – When agents go wrong 
25:40 – Using AI as an agent, not a chatbot 
28:34 – Building real systems with AI agents 
32:49 – Context engineering and advanced prompting 
36:03 – Becoming AI-native 
40:34 – Closing

Reid Riffs with Parth Patil on Individual AI Mastery (Part 1 of 3)

On this episode of Possible, Reid Hoffman and Aria Finger sit down with Amjad Masad, founder and CEO of Replit, to explore how AI is fundamentally changing who gets to build software and what that means for work, creativity, and human agency. Masad traces his journey from growing up in Jordan teaching himself to code and connects it to his love of video games which helped inspire him to build a platform that turns natural language into working software. The conversation spans everything from why gaming mindsets make better builders, to how CEOs are rediscovering hands-on creation, to why “vibe coding” is the next form of literacy and why computational thinking is more important than syntax mastery. The conversation also digs into the future of AI agents, long-running autonomous workflows, and what it means to design environments for machines rather than humans. They also confront harder questions about jobs, fear, regulation, and society’s responsibility during a cognitive industrial revolution. The episode ultimately reframes AI not as a replacement for human creativity, but as a force that can return people to a more entrepreneurial, expressive, and meaningful way of life. 

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ 

01:45 – Introductions and Amjad’s background

02:07 – Growing up in Jordan, video games, and learning to build

06:19 – How gaming culture shaped Replit’s product philosophy

09:55 – Designing Replit around safety, reversibility, and exploration

13:24 – Defining vibe coding and where the term came from

15:55 – The new literacy: computational thinking and soft skills

22:09 – Getting past the blank page and learning by making

25:06 – Entrepreneurs, solopreneurs, and who Replit empowers

30:48 – Designing environments for AI agents and durable businesses

35:55 – Open source, abstraction, and “cathedrals built from bazaars”

38:25 – The future of corporate work and creative ownership

48:29 – Fear, skepticism, and cultural responsibility around AI

54:13 – Jobs, disruption, and becoming AI-native in a changing economy

01:11:12 – Rapid Fire Questions

How Notion rebuilt for the age of AI

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