26 Nov 2025 · 5 min
Delphi launches Library of Minds, pairing podcast episodes with AI versions of guests built from their work. Keith Rabois, Stanley Tang, and others are early participants. The technology uses an adaptive temporal knowledge graph to let listeners have personalized conversations with digital versions of experts, scaling mentorship beyond traditional podcasts.
Questions this episode answers
November 26, 2025.
Llama 3.3 with 70 billion parameters.
Cerebras.
Keith Rabois; Stanley Tang; Roelof Botha; Brian Halligan.
$75 billion (DoorDash).
Chapters
Have you ever wished you could pause a podcast and ask the guest your own question? What if the conversation didn't have to end when the episode does? Today, on the prompt, we're talking about something that changes how we think about podcasts, knowledge, and even human expertise itself.
Delphi just launched the Library of Minds, and it's not just another interview show. This is the first podcast where every episode comes with the guest's digital mind, an AI clone you can actually talk to. After listening the think about that for a second. You listen to Keith Rabois talk about building billion dollar companies. Then you can ask his digital mind your specific questions about your startup. You hear Stanley Tang Explain how DoorDash went from delivering macarons to a $75 billion company. Then you can explore exactly what interests you.
Here's what makes this so different. Traditional podcasts are like books. They're one way streets. You can't raise your hand or ask for clarification. When it's over, it's over. The Library of Minds breaks that barrier completely. Each guest's digital mind isn't just trained on what they said in the episode. It's built from their entire body of work, their writing, their talks, their social postseverything. The technology uses something called an adaptive temporal knowledge graph, inspired by Ray Kurzweil's theory that our minds work as hierarchies of pattern recognizers. What gets me really excited is that.
It doesn't just capture what someone knows, it captures how they think. Let me give you some context on why this matters. There's something education researchers call the two sigma problem. Students who get one on one tutoring perform two standard deviations better than those in regular classrooms. That's huge. But we can't give everyone personal mentors. There aren't enough hours in the day. Delphi calls this the expertise bottleneck, the gap between how many people want personalized guidance and how few experts can provide it.
The first three episodes show exactly what's possible here. Keith Rabois, the guy who helped build PayPal, LinkedIn Square, and invested in companies like DoorDash and Airbnb, talks about speed as the ultimate strategy in AI. But here's the thing. After listening, you can ask his digital mind questions specific to your situation. Stanley Tang Co founded DoorDash while he was still at Stanford. Started coding at age 3, wrote an Amazon bestseller at 15. In his episode, he talks about building through chaos and why operational excellence beat software excellence. But the but then you can go deeper. Ask about balancing speed and quality in your specific context. Get his take on staying calm when everything's on fire. RloF Botha runs Sequoia Capital, one of the most prestigious venture firms in the world. He was PayPal's CFO during their IPO, then led early investments in YouTube, Instagram, and Square. His episode covers managing panic, thinking in decades and why great companies achieve both growth and revenue. Again, the conversation continues after the audio ends.
The technology partnership with Cerebras is what makes this seamless. They're serving state of the art models. We're talking llama 3.3 with 70 billion parameters at speeds that enable real time conversation. You can text, call or video chat with these digital minds. I mean, the latency is so low here that it feels natural.
Dara Lagavardian, Delphi's founder, puts it this mind is your most unique asset, the sum of your experiences, relationships and expertise. And up until now, the way you express that mind has a cap. You can only be in one place at a time. But what's so cool about digital Minds is that it removes that limitation.
This isn't about replacing human connection, it's about scaling it. Think about it. When you can get your basic questions answered anytime your eventual human interactions become richer, you show up more prepared, more thoughtful, with better questions. The digital minds handle the foundational stuff so real conversations can go deeper.
They're calling this Conversational Media, a new category between books, podcasts, and personal coaching. It combines content's scalability with mentorship's personalization. Each episode becomes the start of a relationship that evolves based on your needs.
The name Library of Minds references the ancient Library of Alexandria, but the vision goes beyond preservation. When that library burned, humanity lost irreplaceable knowledge forever. This project ensures that won't happen again. But more than that, it transforms static wisdom into dynamic mentorship. Future generations won't just read about how great minds thought, they'll engage with those thinking patterns directly.
Brian Halligan's upcoming episode shows where this is headed. The HubSpot co founder who coined inbound marketing and scaled the company to $30 billion will share leadership lessons, culture insights and his transition to climate tech investing. Then listeners can explore his frameworks through ongoing dialog.
The implications are massive. Coaches can monetize their expertise 247 CEOs can onboard new hires at scale, experts can break through time constraints to reach more people. And anyone, anywhere, can access personalized wisdom that used to require personal connections or deep pockets.
We're watching the birth of something fundamentally new here, not just better. Podcasts but a shift in how knowledge transfers between humans. The one way broadcast model that's dominated media for centuries is giving way to interactive, personalized learning at scale. If you're as fascinated by this intersection of AI and human expertise as I am, come join the conversation. In my Slack community Control Alt Build, we're exploring how technologies like this are reshaping business creativity and connection. I share the tools, strategies and experiments I'm running, but both for myself and my clients. I'll drop the link in the show notes. I'd love to have you join us.
The future of knowledge sharing isn't just about consuming content anymore, it's about engaging with the minds behind it. And that future just arrived. Thanks so much for spending this time with me today and I'll catch you in the next episode.
