DOC Is Next Week!

 

When I don’t post for a while, I start to get antsy. There’s so much to talk about in the world I usually cover, but in the past few weeks, I’ve had precious little time to sit with it and think. There’s a good reason for my lack of posting: The third annual DOC is just around the corner, and I’ve been focused on preparing for what will be the most packed agenda we’ve ever produced. Here’s a quick preview:

  • Show me someone who thinks the US healthcare system works just fine, and I’ll show you someone who’s getting rich off its faults. That’s my takeaway from the preparation we’ve done for our opening debate, which asks “Can we fix the healthcare system, or should we start over?” The debate is open to the entire room of 300+ physicians, scientists, entrepreneurs, policy makers, and investors, but it will be led by the founding dean of the US’s newest school of medicine, a senior official at ARPA-H, the Chief Medical Officer of a major wearables company, and a doctor who was instrumental in eliminating smallpox.
  • For me, the highlights of DOC are the scientists who present, and then defend, their ground-breaking work. Next week, we’ll hear from Dr. Eddie Chang on brain computer interfaces, Dr. Laura Esserman on novel breast cancer trials, Dr. Nicole Gaudelli and Dr. Bill Peranteau on simply astonishing advances in gene editing, Dr. Rachel Sarnoff on the microbiome, and Dr. Shadi Kourosh on why and how the skin remembers. And that’s just a sampling. I always leave DOC astounded and hopeful, which to be honest, is pretty unique for an “industry conference.”
  • This year we went deep on breakout sessions, with more than a dozen focused conversations on everything from women’s health to exercise as medicine. I’ll be leading several of them, including on exercise science, cell signaling, and the regulatory impacts of AI on medicine.
  • DOC’s Living Room Lab is back and features more than 15 companies offering direct, experiential access to cutting edge diagnostics and therapies.
  • Deep-dive conversations are another hallmark of DOC’s program, and this year we’ll hear from Dr. Alicia Jackson, who runs ARPA-A, Dr. George D. Yancopoulos, founder and CEO of Regeneron, and Divesh Makan, who founded Iconiq Capital. Each are standout leaders in three fields we love to mix together at DOC: Policy, entrepreneurialism, and investment.
  • As you might expect, AI will be an integral part of the DOC program. We’ll have sessions on how the technology is impacting clinical practice, research science, regulatory frameworks, and diagnostics. And we’ll have a bit of fun with AI as well: We’ll be asking three AI models to judge our opening debate and declare a winner. Of course, the hand vote in the room will trump them all.
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The AI Narrative Has Shifted

Out, damn Dot!

Good Lord, where do we start?

The narrative driving AI these past few weeks has been operatic, and true to form, it’s building toward a frenzied crescendo. But what kind of opera are we living inside? Is it Tragedy? Semiseria? Farce?

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In Defense of Writing (and Reading, and Conversation)

Not often does a New York Times’ OpEd rouse me to respond – but this one certainly did:

I’m a College Professor. Writing Isn’t as Important as We Think.

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Get An Agent Who Works For You

Well, it’s finally happening. The long awaited “agent revolution” is here, in the form of Muse, Meta’s two-week-old entry into the AI platform wars. The early reviews are in, and they’re quite positive (“blown away!” gushed the Times). Muse quickly hit No. 1 in app store downloads. Wall Street cheered, giving Meta’s stock an 11 percent bump.

Watching all this, I’ve never felt more like the wheezy Lorax, scolding from the stump of the last Truffula tree:

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On Suleyman’s Conjecture: Should AI Have Rights?

 

Artwork from Reid Hoffman’s “AI For All Americans”

Of all the think pieces, manifestos, hand wringing, and news analysis I’ve read about AI threats and opportunities, the one piece that feels critical to consider is a plea from Mustafa Suleyman, CEO of Microsoft AI. Its subhead lays out its core argument: “AIs do not have rights, feelings, or consciousness. And we must not train them to act as though they do.”

Suleyman opens with a very clear point of view. Let’s call it Suleyman’s Conjecture:

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Google Has Lapped ChatGPT. Now What?

Plenty of places to make money in Google’s AI Mode.

You’ve noticed it, but maybe you’ve not thought too hard about it. Over the past few months, your Google search habits have changed. What was once mostly call and response –  query, results, click, repeat – is now more of a conversation. If you’re anything like me, you’ve started typing longer and sometimes less precise questions into Google, because you know they’ll get picked up in “AI Mode.” Once you’re in that chatbot interface, you’ve probably found Google’s gotten pretty good at answering your questions and helping you accomplish your goals.*

You’re not alone. Google integrated AI Mode into search less than four months ago. Almost overnight, more than a billion people started using the new service. Put another way, with one update to its core search service, Google lapped OpenAI and instantly became the largest consumer AI application in the world. According to it own estimates, Google’s AI Mode queries are now doubling each quarter.

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AI Data Dustups, Bond Market Tremors, and Whatever Muse Is

Meta’s Muse Mascot Is Terrifying.

I might just have to make a weekly news roundup part of the regular rotation here, as once again the noteworthy stories crowding my inbox are so numerous this morning I feel compelled to comment on each of them in turn. If you hate roundups, skip this post – but here are the top stories I find worthy of additional comment today:

  • OpenAI’s Math Problem = AI’s Data, Explainability, and Sourcing Problems. Yesterday OpenAI claimed to have solved a long standing maths problem having to do with Navier-Stokes equations for fluid motion, which for those of us who stopped doing maths in high school, is a Really Big Deal. But as Wired reports, it turns out OpenAI’s work may well have been juiced by prompt data input by two researchers working on the same problem. Adding to the intrigue: One of those researchers also works at Anthropic, and to advance his work, he and his colleague had used OpenAI’s Codex as well as Anthropic’s Claude platform. I’m sure we’ll get the HBO movie in due time, but for now, I think the larger questions are more interesting, starting with this one: Is OpenAI using “private” prompt data to train its internal systems?  The answer, given by OpenAI, is “we can’t be sure.” “While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models⁠,” OpenAI wrote, which sounds an awful lot like a yes to me. Bonus additional questions raised by this dust up: Will there every be a way to know for sure? Probably not, because there’s not an industry defined approach to auditing AI systems at scale – and likely, there never will be. Like all of Big Tech, AI platforms really, really don’t want to be regulated or held to account for how their products are used, including internally.
  • Serious Tremors In Bond Land. If I ever tell you I understand how bond markets work, put me in stocks and toss tomatoes at my head. But I know this: When bonds get the sniffles, the world gets the flu. And right now all signals from the global bond market indicate a terrible head cold. The tipping point: The US has begun to intervene in bond markets in a way that puts the Trump administration at odds with the most powerful force in our economy not named NVIDIA: Wall Street traders. From the FT: “Slowly, and sometimes subtly, but surely, the voices calling out the administration’s inconsistencies and irrationalities are getting louder.” That might sound like pulling punches, but in the pages of the FT, it’s an all out fist fight. I’m watching this one closely.
  • Meta Puts a Genie on a Leash. If you read my rants regularly, you know I am deeply skeptical of using AI agents from companies whose core business model is selling you something other than AI agents. Of course, the first company to introduce personal AI agents at scale is….Meta. Dubbed “Muse,” Meta’s new AI agent can work on your behalf across the web, and initial reviews are generally positive. Meta’s video (screen shot above) introducing Muse shows the agent buying school supplies based on email lists, signing a user up for a 10K run, and rebooking cancelled flights. Meta has given Muse a cuddly mascot, which Google Gemini, when prompted, calls a “whimsical, cream-colored plush sprite.” OK, but I’ll call it what it is: terrifying*. Nearly 15 years ago I warned you all to not build your digital lives inside platforms like Facebook. I’ll repeat the warning, updated for the AI era: Digital agents like Muse may seem like magic genies, ready to do your bidding. But they’re on a leash held by Meta, and they work for Meta’s business model, not for you.

*It also looks like a thumb with handsless arms, but whatever. 

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Comparing OpenAI’s Ad Platform to Early Google and Facebook Growth

Watching OpenAI promote its ads business puts me in something of a nostalgic mood. When I saw OpenAI’s thirsty announcement this week proclaiming a billion-dollar revenue run rate in its advertising business, I had myself something of a chuckle. We’ve seen this movie before – I wrote an early script for it in The Search, which among other things chronicled Google’s rise to a spectacular IPO in 2004. But is it really the same movie? The answer is no – but if you squint, and take a few reasonable liberties with history, it’s clear Altman & Co. are hoping for a sequel.

The Race to A Billion Trillion

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Inadvertent Time Travel

Uh oh.

A week ago I knocked my phone – a Google Pixel 8 Pro – off the table and watched helplessly as it bounced awkwardly onto the stone floor of our favorite restaurant. After retrieving it I noticed a splotch of dead pixels in the top right corner. This was a new phenomenon – I was expecting a cracked screen. But the display sported what looked like a deep bruise. Over the next few days, the black spot spread slowly toward the phone’s front facing camera. By midweek, the Pixel’s light sensor was enthusiastically involved, and my phone was rendered unusable.

I live on an island, so a quick repair or replacement is not an option. That’s why I keep my old phones in stock – it can take up to three weeks for a FedEx or UPS shipment to find its way to my home. I ordered up a replacement online (I settled on the Pixel 10, as the new 11 is on backorder for more than a month), fired up an old Pixel 6, and popped in my SIM.

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The Essential Question: Can We Control AI?

(260717) — SHANGHAI, July 17, 2026 (Xinhua) — Chinese President Xi Jinping delivers a keynote speech at the opening ceremony of the 2026 World AI Conference and High-Level Meeting on Global AI Governance in Shanghai, east China, July 17, 2026. (Xinhua/Shen Hong) (Photo by Shen Hong / Xinhua via AFP)

August is often dismissed as a lost month in the business world – nothing gets done because everyone is on vacation. But where I live, August is the apex of the year. A heady mix of artists, financiers, philanthropists, business leaders and politicians converge on our little island for the month. The ensuing deluge of lecture series, film screenings, impromptu house concerts, and remarkable dinner conversations can be overwhelming. Four weeks into the month, those of us who live here are a bit strung out, ready for the tide of intellectual and cultural offerings to recede. Fall becomes a time to repair.

As might be expected, one topic dominated the conversations I’ve had at countless dinners, soirees, and fundraisers this summer. Yes, it’s “AI,” but that was true last summer, and even the summer of 2024. This year, however, the discussions turned from wonder and anticipation to something…darker. A central question came up over and over again: Is this technology – and the leadership behind it – fundamentally out of our control?

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