Bill Maris identified human biology and healthcare as probably the largest total addressable market in the world for deep tech investment.
Snapshot · All-In with Chamath, Jason, Sacks & Friedberg
Bill Maris identified human biology and healthcare as probably the largest total addressable market in the world for deep tech investment.
Where this was said
At 24:59 · chapter starts 19:09
The sharpest moment in the conversation arrives when Maris raises what he considers Google's obvious strategic play: slash token prices by 80% and watch OpenAI and Anthropic's business models go 'super critical.' If an enterprise can get a basically identical product from Gemini at a fifth of the price, why wouldn't they switch? The panel explores whether OpenAI is burning investor cash Uber-style to grab market share, and whether the public markets will eventually be left holding the bag. Maris is blunt: with approximately $1 trillion in spend commitments and only $60 billion in revenue, OpenAI's IPO math relies on retail and passive funds absorbing valuations that the S&P 500 rules are already being bent to accommodate. [1] — Bill Maris "Google could arbitrarily cut token prices by 80%, making its model functionally identical to OpenAI's at a fraction of the cost — and Maris…" 24:50
The transformation gaming underwent from text-based Zork to photorealistic modern games will happen to AI within the next 5 years, per Maris.
Bill Maris compared today's AI to the Atari command-line era and predicted it would reach PlayStation-equivalent sophistication within 5 years.
Maris founded Calico, invested in Flatiron and New Limit, and remains deeply interested in longevity — but says therapeutic clinical trials are a specialist area he's stepping back from. The real prize is computational biology: simulate a human cell in silico and drug discovery accelerates exponentially.
Bill Maris's Section32 has raised 6 funds averaging ~$400M in size, with all 6 performing in the top decile.
The math is unambiguous: VC funds under $750M average 4.76x DPI versus 2.42x for funds over $1B, and represent 95% of all top-decile performers. Maris's six Section32 funds have averaged ~$400M in size and all landed in the top decile.
Despite predictions that AI would eliminate radiologists, the Mayo Clinic's radiology staff grew 55% after AI arrived at reading scans.
In 2025, radiology was the second-highest paid medical specialty in America, with average incomes 48% higher than a decade ago.
A study across 3 hospitals found radiologists spent only 36% of their time reading scans — the part AI can do — with the rest being human judgment.
Robert Greene notes that one in six Americans is on some form of drug to deal with depression, suggesting a deep societal disconnection from meaningful experience.
Spencer Greenberg and Jeremy Stevenson analyzed almost 500 self-improvement techniques and found they all reduce to just 12 underlying psychological drivers.
Cold exposure has good short-term alertness benefits but the evidence base for long-term health benefits is much weaker than popularly believed.
In a randomized study of 20 habit-formation techniques run on hundreds of people, almost none of the techniques produced statistically meaningful results.
People given a tiny-habit fallback option (e.g. 10 squats instead of gym) were actually MORE successful at completing the full habit, not less.
The most effective habit-formation technique was 'habit reflection' — recalling a past successful habit, writing down what helped, then applying those lessons to a new habit.
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