Nov 6, 2025 · 44m · a16z
Mark Zuckerberg & Priscilla Chan: How AI Will Cure All Disease
Priscilla Chan · 16m spoken Mark Zuckerberg · 15m spoken Ben Horowitz · 4m spoken Vineeta Agarwala · 4m spoken Erik Torenberg · 44s spoken
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
On The a16z Podcast, Mark Zuckerberg and Priscilla Chan discuss the Chan Zuckerberg Initiative's (CZI) mission to cure, prevent, or manage all diseases by combining frontier artificial intelligence with biological research, open-source tooling, and massive compute infrastructure.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The host holds 1.8% of the talking time here. How this is scored →
The host as informed peer 5.0 Guest teaching 4.3 Guest disagreement 0.3 The host pushing back 0.6
speaking balance: gold is the host, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 2:51 Reframing the premise on curing all disease
Mark gently reframes the host's question by pointing out that CZI will not cure all diseases directly, but rather build tools to enable the broader scientific community to do so.
Hardest push from the host ▶ 29:50 Challenging the centralizing operating philanthropy modelBen Horowitz pushes back on CZI's organizational pivot, asking what trade-offs and management complexities are introduced by adding a unified operational layer over decentralized units.
Biggest teaching moment ▶ 12:15 Explaining VUS and single-cell precision mappingPriscilla Chan educates the audience on variants of unknown significance (VUS) and explains how single-cell transcriptomics maps protein expression downstream to clarify side effects.
The host holds their own ▶ 14:40 Demonstrating domain insight via portfolio use-caseVineeta Agarwala demonstrates high domain expertise by detailing how a specific venture portfolio company targeting idiopathic pulmonary fibrosis relies directly on CZI's single-cell datasets.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The host as informed peer | Guest teaching | Guest disagreement | The host pushing back | Why |
|---|---|---|---|---|---|---|
| Welcome and CZI's Origin Story | 3 | 4 | 1 | 1 | Ben Horowitz and Erik Torenberg open by asking about CZI's foundational thesis. Mark Zuckerberg clarifies that CZI aims to accelerate basic science through tool-building rather than curing diseases directly. | |
| Overcoming Skepticism through Shared Tooling | 4 | 4 | 1 | 1 | Ben Horowitz notes the logic of tool development, while Mark explains bridging the gap between skeptical biologists and overly optimistic AI researchers. | |
| 10-to-15 Year Grand Challenges and Biohub Locations | 6 | 4 | 0 | 1 | Vineeta Agarwala frames CZI's 10-to-15 year grand challenges around venture capital timeframes, showing high domain expertise. Priscilla Chan details the focus areas of the three Biohub locations. | |
| Precision Medicine and Individualized Biology | 5 | 5 | 0 | 0 | Vineeta asks about therapeutic outcomes, and Priscilla explains how single-cell transcriptomics can translate variants of unknown significance (VUS) into actionable target discovery. | |
| Open Source Data and Real-World Impact | 7 | 4 | 0 | 0 | Vineeta demonstrates strong expertise by detailing how a portfolio company treating idiopathic pulmonary fibrosis relies on CZI's open-source CellxGene dataset. Priscilla shares how CellxGene started as a simple annotation tool before network effects took over. | |
| Virtual Cell Models and In Silico Research | 5 | 5 | 1 | 1 | Mark outlines the virtual cell strategy alongside Alex Rives' hiring, while Ben asks how accurate in silico models must be to provide clinical utility. | |
| Biological World Models and Reasoning AIs | 5 | 5 | 0 | 1 | Ben questions whether biological world models rely on reasoning paradigms. Mark outlines a hierarchical modeling approach building from state-of-the-art protein models up to virtual immune systems. | |
| Unifying CZI Biohub into an Operating Philanthropy | 6 | 4 | 1 | 2 | Vineeta prompts CZI's news announcement, and Ben challenges the organizational logic of centralizing Biohubs into an operating philanthropy versus staying decentralized. | |
| Domain-Specific AI Models and Intuitive Interfaces | 6 | 4 | 0 | 0 | Ben connects CZI's unified approach to broader AI trends where domain-specific models outperform general ones, and Priscilla emphasizes designing low-barrier user interfaces for non-computational scientists. | |
| Fostering Interdisciplinary and Cross-Institutional Collaboration | 4 | 4 | 0 | 0 | Mark explains how physical co-location of biologists and engineers solves cross-disciplinary communication friction, drawing parallels to startup organizational design. | |
| Scaling Compute Infrastructure and GPU Access | 5 | 4 | 0 | 0 | Priscilla and Mark detail expanding GPU infrastructure from 1,000 to 10,000 chips as the new equivalent of wet lab space, inviting external academic collaborations. | |
| Reflecting on 10 Years and Measuring Philanthropic Impact | 4 | 4 | 0 | 0 | Erik asks for 10-year reflections, leading Priscilla to discuss navigating the lack of market feedback in philanthropy while remaining patient yet urgent. |
Statements from this episode (22)
Zuckerberg: Biology still lacks a periodic table equivalent in 2025
“It still seems like there could be a lot more effort in this space around building tools, and it's kind of this crazy thing that we're, you know, here in, you know, twenty-twenty-five, and there's not the kind of periodic table of elements equivalent for biolo…”
Chan: Scientists thought CZI's goal to cure all disease was crazy
“When we first set out that, the goal to cure and prevent disease by the end of the century, people, like, honestly, Most scientists couldn't look at us with a straight face. And they're like, you're crazy. Yes. And it was true because if you just decided to sp…”
Zuckerberg: Scientific breakthroughs are driven by new observation tools
“And the theory that we had was if you look at the history of science, most major breakthroughs are basically preceded by the invention of a new tool to observe phenomena in a new way.”
Zuckerberg: NIH grants are too small and near-term for major breakthroughs
“And I think that that there's a niche that I think fits that, because if you look at how funding works in science, you know, the vast majority of funding comes from the government and NIH grants. It's parceled out into these relatively small grants that allow …”
Zuckerberg: AI is simultaneously the most overestimated and underestimated technology ever
“AI's gotta be the most overestimated and underestimated technology ever, like simultaneously.”
Zuckerberg: CZI is the first to combine frontier AI and biology
“There are labs that do frontier AI that basically, you know, are building the most advanced models. And then there are, Lots of biological research organizations that, that effectively do very leading edge research to build you know, to either discover new dat…”
Zuckerberg: Biohub is now the main focus of CZI philanthropy
“Actually when we started CZI, we kind of actually focused on a number of areas. And what we found is just that The science research has had by far the biggest return, so we've just doubled down on it over and over and over, until now we're at the point that, y…”
Chan: How CZI selects 10-to-15-year scientific Grand Challenges
“When we looked at the Grand Challenges for, on the 10 to fifteen-year time horizon, it needs to be, like, when you look at it, you're like, I see a path. Not everything needs to be solved for us to take it on. In fact, if everything's solved, then that feels l…”
Chan details the specific research focuses of CZI's three Biohubs
“We have three biohubs. We have one in San Francisco, one in Chicago, one in New York. The one in New York works on cell engineering. You know, can we engineer cells To go in and detect signals, read it out, or to take certain actions. In Chicago, we're buildin…”
Chan: LLMs provided the breakthrough needed to analyze CZI's biological datasets
“We were already Building tools to measure interesting data. Building the data sets. But we didn't really know what to do with them yet. And large language models coming onto the scene, we're like, wow, we can make sense of all of this now.”
Chan: Most medical conditions should be treated as rare diseases
“And so those are rare, like, and, but I really think most diseases should be thought of as rare diseases. Because each one of our biology is different.”
Chan: CZI funded 25% of CellbyGene, while the community provided 75%
“We only funded about 75% of it. Sorry, that's wrong. We've only funded 25% of it. 75% came from the broader community saying, this is useful, and there's an easy way for us to standardize and build this together.”
Zuckerberg: Meta protein researchers led by Alex Rives join CZI
“We actually had a bunch of researchers who'd formerly worked at Meta on protein folding models is joining a biohub and Alex Reeves, the leader of it is actually going to be the kind of head of the whole science program”
Zuckerberg: CZI will combine biohub models into a general virtual cell
“So we'll, we'll, we'll build the biohubs around grand biological challenges. The biohubs will build tools that will generate novel data sets. We will build models based on those and then eventually combine the models into an increasingly general view of a virt…”
Chan: Virtual cell models provide utility even without perfect accuracy
“But I don't think it needs to be a hundred percent accurate to be useful. Because you just want to be able to de-risk the idea on the front end a little bit. And the more and more you de-risk it, the more efficient it gets, obviously. But it'll be useful if yo…”
Zuckerberg: Virtual cell modeling requires a hierarchical protein-to-cell strategy
“Part of the hypothesis is that you can look at all these different cells and you can kind of simulate how they might behave, but you're gonna have a somewhat shallow understanding unless you actually have this hierarchical understanding of what how the subcomp…”
Chan: CZI is consolidating biohubs and AI teams into one philanthropy
“Under Alex's leadership, we are going to come together as the biohub, a an operating philanthropy where we are doing the science,”
Zuckerberg: AI will help cure all diseases significantly before 2100
“When we started the mission to see if we could help the scientific community cure and prevent diseases by the end of the century. I do think with the advances in AI, that should be possible to do significantly sooner.”
Zuckerberg: The first CZ Biohub united UCSF, Stanford, and UC Berkeley
“So the very first biohub, what we did, there were two kind of interesting things. One was, it was this collaboration between UCSF, Stanford, and Berkeley. And there are all these really smart people at all these different places who previously, I guess in theo…”
Zuckerberg: Physical co-location solves organizational friction better than org charts
“It's interesting how many organizational questions or problems you can fix just by having two teams sit together, right? It's like, it doesn't matter what the org chart is or like, whatever. It's like, you guys need to sit next to each other and until you get …”