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Pete Florence: two coaches on leadership
Asked for a book recommendation on The Generalist, robotics founder Pete Florence named two coaches: Bill Walsh of the San Francisco 49ers and John Wooden of UCLA. His answer brought the conversation back to teaching and coaching, which interviewer says have both been big parts of his life. The episode's reading list gives the books as:
- The Score Takes Care of Itself: My Philosophy of Leadership by Walsh (link)
- Wooden on Leadership: How to Create a Winning Organization by Wooden (link)
Paul Graham and Garry Tan: NBER paper on California's billionaire tax
Both quoted an NBER paper by Benjamin Jaros and Joshua Rauh (paper). It estimates that California's Billionaire Tax Act would collect about $30 billion. Once income taxes lost to people leaving the state are counted, the mean net present value is negative $39 billion. Graham's summary: the tax "would actually lose the state money." Tan read the paper as evidence that California keeps trying to "eat the Golden Goose."
Matt Mullenweg: two pieces on why AI still needs WordPress
- Jono Alderson, "Your website needs a brain." Alderson's argument: if you replace your CMS with AI-generated pages, you inherit "a thousand publishing problems." Mullenweg posted his own 134-word condensed version (he says he cut it from 2,910 words using Fable). The key point is that AI can regenerate pages but not the shared records and dependency tracking that connect them. His takeaway: "Use AI on top of it, not instead of it." In the same post he plugged his own new product, Spacefast.
- Elementor, "WordPress: born ready." Shared by Miriam Schwab, the post argues that WordPress's REST API, which has existed since 2016, makes it ready for AI agents. Every object has a JSON endpoint, and agents can find routes on their own through /wp-json/. Mullenweg's endorsement: "Real ones know."
Sarah Guo: Ars Technica on compromised TLS certificates
Guo pointed to Ars Technica's "The Internet goes on high alert after discovery of 8 compromised TLS certs" as "today's example of why ai people are legitimately stressed about internet resilience in the face of agentic cyber attacks." She writes that eMudhra's intermediate CA private keys turned out to be tiny numbers like 4 and 56. That meant anyone could recover them in seconds and mint a trusted certificate for any site. Browsers have blocked the bad certificates, but "the long tail of servers, containers, and devices" still trusts them. She credits the term "vulnpocalypse" to @dok2001.
Shorter mentions
- Vinod Khosla shared a conversation between Brad Porter and John Giannandrea. It covers why one research paper could make models ten times faster, and what it takes to move AI from research to deployment.
- Elon Musk said in an interview that a book on "suicidal empathy" is "well written" and "points out some good good things." In his telling, the book argues that high-trust, high-empathy societies help explain the West's prosperity. Musk added that empathy goes wrong when people assume everyone thinks like they do. The transcript gives no title and renders the author's name as "God's," which is probably the psychologist Gad Saad. That attribution is our inference.
Paul Graham cited an NBER analysis by Benjamin Jaros and Joshua Rauh on California’s proposed wealth tax, saying it indicates the tax would lose the state money. The NBER post reports that the act would collect roughly $30 billion, but that accounting for lost income taxes from departures yields a mean net present value of negative $39 billion.
Elon Musk praised a book about “suicidal empathy” as well written and said it makes good points; the transcript does not provide its title or clearly identify the author. Musk said the book points to a contribution of high trust and high empathy to Western prosperity, while cautioning that empathy can misfire when people assume others think as they do.
Patrick O’Shaughnessy promotes a video conversation with Christina Cacioppo, Vanta’s cofounder and CEO, and links to the full conversation . In a clip, Cacioppo says French software companies shifted predominantly to Chinese models because they saw relying on American models as a business-continuity risk if access became unavailable .
Sarah Guo (@saranormous) highlighted Ars Technica’s “The Internet goes on high alert after discovery of 8 compromised TLS certs” as an example of why AI people are concerned about internet resilience amid agentic cyberattacks. She noted that eMudhra’s intermediate CA private keys were recoverable in seconds, while some servers, containers, and devices may still trust the affected certificates despite browser blocks.
Patrick O'Shaughnessy recommends his second conversation with Vanta cofounder and CEO Christina Cacioppo (“Enjoy!”), which covers Vanta’s AI rebuild and changes in software and security. He frames Vanta with Charlie Songhurst’s view that highly boring, highly complex companies may offer the best returns, calling Vanta one such company. Episode post.
Patrick O’Shaughnessy recommends his second conversation with Christina Cacioppo, Vanta’s cofounder and CEO, highlighting discussions of AI pricing and rebuilding software, AI-driven security, talent, and trust; he closes with “Enjoy!” . The post links to the conversation here: original post .
Patrick O’Shaughnessy recommends his conversation with Christina Cacioppo, Vanta’s cofounder and CEO, inviting viewers to “Enjoy!”; the discussion covers Vanta’s AI strategy, security, and building trust in technology . In a clip from the conversation, Cacioppo says Vanta is absorbing AI token costs and taking lower margins to prioritize usage and deployment before working out commercialization . Conversation post .
Pete Florence recommended Bill Walsh’s The Score Takes Care of Itself: My Philosophy of Leadership and John Wooden’s Wooden on Leadership: How to Create a Winning Organization . His recommendations brought the conversation back to teaching and coaching, both significant parts of his life.
Patrick O’Shaughnessy recommended his second conversation with Vanta cofounder and CEO Christina Cacioppo (“Enjoy!”), covering AI pricing and software rebuilding, talent, AI security, and trust. Watch the video.
Jason Lemkin shared a new YouTube video (link) arguing that agents will choose software vendors differently from people asking ChatGPT or Claude; he distinguishes this from GEO/AEO, which he says mattered over the prior 12–18 months for human-facing recommendations.
Jason Lemkin pointed readers to a SaaStr article on five Braze takeaways, including its revenue, Salesforce sale, growth, and operating expenses, saying “More here.” This was additional reading after his post that Salesforce was buying Braze for $5.7B, or 6.8× revenue. Article
Elon Musk endorsed @EndWokeness’s X post, which lists 1955 and 2025 native-background percentages for Brussels, London, Amsterdam, Berlin, Vienna, and Stockholm . He added, “Objectively, the ‘Great Replacement’ has already occurred.”
Matt Mullenweg amplified Jono Alderson’s article on why websites need a brain, endorsing its argument that AI-generated pages cannot replace a CMS’s connected content records and dependency tracking. His takeaway: WordPress has 20 years of answers to these problems, so use AI on top of WordPress, not instead of it.
Garry Tan recommended HappenstanceAI’s post/video, calling it the “greatest unlock” for startup founders and anyone who needs to reach the right people. The post features Ruben Hassid describing Happenstance as “if LinkedIn and Claude and ChatGPT had a baby” and showing how he finds warm paths to people across a network of 800,000+.
Garry Tan shared an NBER analysis by Benjamin Jaros and Joshua Rauh on California’s Billionaire Tax Act, which estimates roughly $30 billion in collections but a mean net present value of -$39 billion after accounting for income taxes lost when people leave the state (paper). Tan used the analysis to argue that the tax would damage California, likening it to “eat[ing] the Golden Goose.”
Brian Armstrong shared a new Coinbase blog post about working together on Bitcoin post-quantum readiness, saying the issue requires preparation and collaboration across the industry and that Coinbase is contributing alongside others. Coinbase blog post
Vinod Khosla shared a YouTube video featuring Brad Porter and John Giannandrea, discussing how one research paper could make models ten times faster and what it takes to move AI from research to deployment.
Matt Mullenweg signal-boosted @miriamschwab’s post with the approving remark “Real ones know”; the post links to an Elementor article. The post argues that WordPress’s REST API, available since 2016, makes the platform ready for AI agents through clean JSON endpoints and discoverable routes and endpoint arguments.
Jason Lemkin promoted the SaaStr article “5 Learnings from Braze's $5.66B Sale to Salesforce” (link). He highlighted its comparison of Salesforce’s 6.8× revenue purchase price with the public market’s 3.7× valuation, and its takeaway that strategic buyers pay for distribution and data while markets price AI risk.
Satya Nadella pointed readers to a Microsoft News feature, “A concrete vision: Saint-Gobain and Microsoft Discovery build for the future,” with the prompt “Read more”: article. He framed it around Saint-Gobain using Microsoft Discovery to accelerate development of more-efficient construction materials.
Pete Florence: When Robots Improvise
“Before fire existed, it’s hard to imagine all the implications of fire. I think the same thing will very much be true with the level of robotics that will be possible. It’s just hard to even think of all the possibilities.” – Pete Florence, Co-Founder & CEO of Generalist
Pete Florence (opens in new tab) and I began by agreeing that his company has an excellent name. Generalist (opens in new tab) builds AI for robots, including models that can begin learning a new task from a single demonstration. We talked about dexterity, the strange business of gathering physical experience for a machine, and what we might build if robots could do much more of the work.
Listen or watch on YouTube (opens in new tab), Spotify (opens in new tab), or Apple Podcasts (opens in new tab).
From my notebook
We’re trying a new thing where I share a few of my thoughts from after the episodes. The moments that struck me, the tidbits that reframed my thinking, or something I just really enjoyed. Let me know if you like reading these!
Dexterity, dexterity, dexterity. Before the conversation, I was trying to think about what robotics’ equivalent of coding would be. I found myself looking for a big industry or use case – something in manufacturing or construction. Pete’s answer is dexterity. Like coding, it’s a horizontal capability that runs across fields and opens up a huge range of work. It’s the kind of simple, sharp description that made me realize I’d been thinking too narrowly.
Robots that build robots. There’s an implication of dexterity that I hadn’t properly thought through, but is obvious in hindsight. Once robots are truly dexterous, they will become capable enough to replicate themselves and successive generations. Your ability to manufacture starts to scale with the machines themselves.
GPT-3 feels roughly right. This is the comparison Anthropic researcher Sholto Douglas made when Generalist’s latest model launched. That feels apt. ChatGPT ran on GPT-3.5, and OpenAI had already trained GPT-4 by then. What Generalist is doing is remarkable, but we’re still short of that astonishing moment when everything clicks.
What might we build? I liked Pete’s framing of robotics opening up entirely new human projects. There are plenty of dangerous and unpleasant jobs we machines will take take over. But if the cost of physical labor falls dramatically, what kinds of strange, miraculous buildings, cities, and infrastructure become possible? What would we attempt that we currently dismiss as absurd?
Sometimes the fastest way is a plane. The lengths Pete has gone to get robotic data are extraordinary. He described packing hard drives into a backpack and getting on a plane because poor internet connectivity at the collection site meant flying would be faster. The team has also built custom servers and software to upload data from large numbers of memory cards at once. I loved getting a more visceral sense of the physical work that goes into this part of the process.
Pete’s bookshelf
When I asked Pete to recommend a book, he turned to two coaches: Bill Walsh of the San Francisco 49ers and John Wooden of UCLA. Walsh’s book is The Score Takes Care of Itself (opens in new tab), a classic Wooden tome is On Leadership (opens in new tab). Pete’s answer brought us back to teaching and coaching, both of which have been big parts of his life.

Tangents
What I’m reading, watching, and into this week:
Training a small model to autocorrect my text messages more accurately. So far…the gains are modest :)
Empire of Pain (opens in new tab) by Patrick Radden Keefe. I don’t usually read non-fiction in my spare time, but I’ve “enjoyed” (a strange word for so bleak a story) this excellent reporting of the Sackler family and the opioid epidemic.
Playing with the models’ 3D capabilities to spin up an Italo Calvino-themed personal website (in progress).
—Mario
Every timestamp
00:00 (opens in new tab) Intro
02:24 (opens in new tab) GEN-1.5 and one-shot learning
08:55 (opens in new tab) What makes a task difficult
10:53 (opens in new tab) Dexterity in robotics
14:53 (opens in new tab) Matt Mason’s definition of a hand
17:34 (opens in new tab) Giving robots a sense of touch
20:30 (opens in new tab) Growing up in a family of technologists and scientists
22:46 (opens in new tab) What drew Pete into robotics
27:38 (opens in new tab) Generalist’s founding thesis and what sets it apart
32:17 (opens in new tab) Protecting simplicity
35:01 (opens in new tab) How Generalist’s data collection has evolved
35:30 (opens in new tab) Generalist’s scaling philosophy
39:53 (opens in new tab) Generalist’s build-versus-buy philosophy
42:15 (opens in new tab) Balancing general intelligence with commercial deployment
44:24 (opens in new tab) Why Pete is betting on dexterity
47:33 (opens in new tab) The durability of the robotics application layer
49:09 (opens in new tab) Open-weight robotics models and data flywheels
50:52 (opens in new tab) Geopolitics, safety, and alignment
52:42 (opens in new tab) The parallels between teaching humans and robots
1:00:05 (opens in new tab) The timeline for robotics progress and adoption
1:03:37 (opens in new tab) Book recommendations
Listen or watch on YouTube (opens in new tab) • Spotify (opens in new tab) • Apple Podcasts (opens in new tab)
Pete’s complete reading list
The Score Takes Care of Itself: My Philosophy of Leadership: https://www.amazon.com/Score-Takes-Care-Itself-Philosophy/dp/1591843472 (opens in new tab)
Wooden on Leadership: How to Create a Winning Organization: https://www.amazon.com/Wooden-Leadership-Create-Winning-Organization/dp/0071453393 (opens in new tab)
Other resources
Generalist: https://generalistai.com (opens in new tab)
GEN-1.5: https://generalistai.com/blog/gen-1.5 (opens in new tab)
Proprioception: https://en.wikipedia.org/wiki/Proprioception (opens in new tab)
Cutaneous receptor: https://en.wikipedia.org/wiki/Cutaneous_receptor (opens in new tab)
Fukushima nuclear accident: https://en.wikipedia.org/wiki/Fukushima_nuclear_accident (opens in new tab)
The bitter lesson: https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson.pdf (opens in new tab)
GEN-1: https://generalistai.com/blog/gen-1 (opens in new tab)
Where to find Pete Florence
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Pete Florence recommended Bill Walsh’s The Score Takes Care of Itself: My Philosophy of Leadership and John Wooden’s Wooden on Leadership: How to Create a Winning Organization . His recommendations brought the conversation back to teaching and coaching, both significant parts of his life.