ericmckay4 's Listen Later

Naval Ravikant is an entrepreneur and investor whose journey embodies the essence of mental mastery and self-actualization. As the co-founder of AngelList and an early investor in companies like Uber and Twitter, he combines strategic thinking with a deep philosophy on wealth, happiness, and inner peace. Naval’s reflections on self-awareness, decision-making, and mindset have inspired millions to take control of their inner world.

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Dr. Michael Levin (@drmichaellevin) is the Vannevar Bush Distinguished Professor of Biology at Tufts University and director of the Allen Discovery Center. He is primarily interested in how intelligence self-organizes in a diverse range of natural, engineered, and hybrid embodiments. Applied to the collective intelligence of cell groups undergoing morphogenesis, these ideas have allowed the Levin Lab to develop new applications in birth defects, organ regeneration, and cancer suppression.

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TIMESTAMPS:

• [00:00:00] Start
• [00:03:18] The Body Electric: A Vancouver bookstore discovery that launched a career.
• [00:04:19] Bioelectricity 101: Your brain uses it to think; your body used it before you had a brain.
• [00:06:05] The lesson learned by scrambled tadpole faces that rearrange themselves.
• [00:08:51] Software vs. hardware: The genome is your factory settings, not your destiny.
• [00:11:43] Two-headed flatworms: Rewriting biological memory without touching DNA.
• [00:16:20] Seeing memories: Voltage-sensitive dyes reveal the body’s hidden blueprints.
• [00:20:12] Three killer apps for humans: Birth defects, regeneration, and cancer.
• [00:24:27] Cancer as identity crisis: Cells forgetting they’re part of a team.
• [00:25:40] The boredom theory of aging: Goal-seeking systems with nothing left to do.
• [00:30:09] Planaria’s immortality hack: Rip yourself in half every two weeks.
• [00:31:27] Manhattan Project for aging: Crack cellular cognition, everything else falls into place.
• [00:33:47] Giving cells new goals: Convince a gut to become an eye.
• [00:37:42] Must mammalian mortality be mandatory?
• [00:40:25] Cross-pollination: Why biologists would benefit from programming courses.
• [00:47:15] Does acupuncture actually do anything?
• [00:50:57] Placebo as feature, not bug: Words and drugs share the same mechanism.
• [00:55:06] The frame problem: Why robots explode and rats intuit what matters.
• [00:59:41] Binary thinking is a trap: “Is it intelligent?” is the wrong question.
• [01:07:46] Minimal brain, normal IQ: Clinical cases that break neuroscience.
• [01:08:45] Super panpsychism: Your liver might have opinions.
• [01:13:48] The Platonic space: Bodies as thin clients for patterns from elsewhere.
• [01:15:24] Keep asking “why” and you end up in the math department.
• [01:23:07] Polycomputing: Sorting algorithms secretly doing side quests.
• [01:28:24] Power scaling for the future and avoiding red herrings for understanding machine minds.
• [01:34:06] Sci-fi recommendations.
• [01:37:24] Cliff Tabin’s toast and Dan Dennett’s steel manning.
• [01:41:21] Parting thoughts.

*

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AI startup OpenEvidence is now raising a fresh round of capital from Sequoia at a $1 Billion valuation. We look at the latest big funding round in AI healthcare and why investors are increasingly drawn towards the sector. 

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Daniel Nadler started OpenEvidence to help physicians sort through a deluge of medical research. Now, he’s raised $210 million at a $3.5 billion valuation.

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OpenEvidence is transforming how doctors access medical knowledge at the point of care, from the biggest medical establishments to small practices serving rural communities. Founder Daniel Nadler explains his team’s insight that training smaller, specialized AI models on peer-reviewed literature outperforms large general models for medical applications. He discusses how making the platform freely available to all physicians led to widespread organic adoption and strategic partnerships with publishers like the New England Journal of Medicine. In an industry where organizations move glacially, 10-20% of all U.S. doctors began using OpenEvidence overnight to find information buried deep in the long tail of new medical studies, to validate edge cases and improve diagnoses. Nadler emphasizes the importance of accuracy and transparency in AI healthcare applications.

Hosted by: Pat Grady, Sequoia Capital 

Mentioned in this episode: 

How does a new technology get adopted by 40% of American doctors in just 18 months? In an era where the golden age of biotechnology has also created a dark age of physician burnout, OpenEvidence found the answer by fundamentally changing how doctors access critical information. OpenEvidence founder Daniel Nadler sits down with Sarah Guo and Elad Gil to discuss how his company solved the semantic search problem in medicine. He talks about the strategy of treating doctors as consumers, striking the balance of keeping patients in the loop in medical conversations, and how technology will reshape both medicine and medical education. Plus, Daniel gives his thoughts on the roots of motivation, as well as his philosophy for recruitment. 

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Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @EvidenceOpen 

Chapters:

00:00 – Daniel Nadler Introduction

00:08 – OpenEvidence’s Success 

01:54 – How OpenEvidence Works

06:35 – Dealing with Ambiguity

11:37 – Treating Knowledge Workers as Consumers

15:53 – Balancing Keeping Patients in the Loop

19:28 – How Technology May Shape the Future of Medicine

22:12 – How Technology Will Change Medical Education

30:40 – Examining Consumer Adoption of Preventative Health Measures

36:02 – Lessons for Other Fields

37:27 – Rationalism vs. Will

41:13 – Daniel’s Thoughts on Motivation

42:44 – Daniel’s Recruiting Philosophy

44:48 – Conclusion

On the heels of raising $210 million at a $6 billion valuation, OpenEvidence is the fastest-growing physician app in history, now reaching over 40% of U.S. physicians and powering 17 million monthly clinical queries.

In this conversation, co-founder and CTO Zack Ziegler shares how his background in early large language models led him to build an AI that helps clinicians make better decisions at the point of care, without replacing their judgment.

We cover:

🧠 The strategies Open Evidence used to reach 40% of U.S. clinicians in a short time

💡 The unexpected reason they chose to go direct to doctors instead of via their employers

💰 How they make money

⚙️ What “Deep Consult” means for the future of clinical decision-making

🏥 Whether tools like this could ever—or should ever—be available to patients

About our guest: 

Zachary Ziegler is the cofounder and CTO of OpenEvidence, the leading medical information platform. Designed from the ground up for medical professionals, OpenEvidence organizes and expands the world's medical knowledge to make it more useful, open, accessible, and understandable. Launched out of the Mayo Clinic Platform Accelerate, OpenEvidence has become the most rapidly adopted tool by physicians in history, now used by over 40% of US physicians in over 15,000 care centers across the United States. Before founding OpenEvidence, Ziegler was a PhD student at Harvard University, where he worked with Professor Sasha Rush and was awarded the National Science Foundation Graduate Research Fellowship. He completed his undergraduate studies at Cornell University, where he received the Barry Goldwater Scholarship.

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Last week, I went to see Matt Bateman and Aaron Stupple talk about their parenting disagreements at The Montessorium, the (pretty new!) school Matt created. I enjoyed their conversation, wanted to hear even more, asked them if they’d be up for coming on my podcast, and they did!

Probably the best place to find more is on X.com, and here are a few more links too:

* Aaron’s book, The Sovereign Child (the link is to the free pdf, and it’s also available at all major book stores

* Taking Children Seriously

* a thing I wrote a while back about some of what I think about unschooling

(ETA: I have locked the comments because I both feel somewhat responsible for comments made on my posts and don’t have the bandwidth to monitor them at this time)

I spoke with Glen Weyl, founder of RadicalXChange, author of Plurality and Radical Markets, and the lead of Microsoft’s Special Projects division where he founded the Plural Technology Collaboratory.

Weyl talks a lot about how we can innovate democracy, not just throw it all out in favor of autocracy. In this Guest Lecture, we talk about his recent debate with Curtis Yarvin, whether corporations are autocracies or democracies, whether countries like Singapore are more or less democratic than the US, and how we can use technological advancements and borrow from models around the world to create something much better than representative democracy.

In some policy circles, the idea of the U.S. electing a CEO-style dictator running the country like a company is gaining momentum. But should the idea be embraced? Those proposing the Dictator CEO, like Curtis Yarvin, argue it would challenge existing institutions and deliver cutthroat efficiency. But democracy advocates, like E. Glen Weyl, argue that consolidating power under one leader undermines the core values fundamental to America’s political system. Now we debate: Should the U.S. Be Ruled by a CEO Dictator? 

Arguing Yes: Curtis Yarvin, Anti-democracy theorist and Tech Entrepreneur 

Arguing No: E. Glen Weyl, Co-Founder of the RadicalxChange Foundation, Plurality Institute, and the Faith, Family and Technology Network 

Emmy award-winning journalist John Donvan moderates 

Visit OpentoDebate.org to watch more insightful debates.  

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