Curing All Human Diseases & the Future of Health & Technology | Mark Zuckerberg & Dr. Priscilla Chan
- Guest
- Mark Zuckerberg & Dr. Priscilla Chan
- Read time
- ~5 min
- Uploaded
- 23 Oct 2023
- Duration
- 2:15:32
- Views
- 522.1K
KEYPOINTS
- 01
CZI's goal: help science cure, prevent or manage all disease by 2100
Chan, a physician and educator, frames the Chan Zuckerberg Initiative (launched in 2015) as a bet on basic science rather than on any single disease. CZI does three things: funds scientists, builds software tools and runs its own science through 'Biohubs'. Both stress that CZI won't cure disease itself. Its goal is to speed up the whole field, and its funding is a small fraction of what the NIH spends.
- 02
New tools usually come before big discoveries
Zuckerberg says their reading of the history of science is that major breakthroughs tend to follow a new way of seeing, such as the telescope or microscope. He argues the next ten years should mainly go to measuring and observing human biology, comparing it to debugging code: you can't fix a codebase you can't step through, and at Meta big projects start with instrumentation.
- 03
The cell sits between a genetic typo and the disease
Chan's analogy is a recipe with a typo that produces a bad cake: we know the typo (the mutation) and the result (the disease), but not how the chef and oven, the cell's mRNA, turned one into the other. Single-cell work studies how each of the body's roughly 37 trillion cells reads the same DNA differently in health and in disease.
- 04
Cell atlases plus AI could produce a 'virtual cell'
Since CZI funded methods work in 2017, near-complete single-cell atlases of humans, flies and mice have emerged, far too much data for people to interpret. Large language models (based on the Transformer architecture) are pattern-recognition machines that work on more than words. Trained on cell-atlas data, a model given a cell's state could predict its next states, much as AlphaFold did with protein folding.
- 05
In-silico experiments still have to be checked in humans
Chan welcomes cheap, fast computer experiments but warns that 'we've basically cured every single disease in mice'. Model systems are relevant but not one-to-one with humans, so predictions must be confirmed in human biology.
- 06
Biohubs require collaboration across institutions
Proposals had to involve at least three institutions and several disciplines. The call drew 57 proposals from over 150 institutions. Each Biohub has about 50 dedicated staff, independent of the universities, while letting faculty contribute without leaving their posts. CZI runs in five-year cycles: try many models and double down on what works.
- 07
Chicago Biohub: sensors inside engineered tissue to catch inflammation early
The University of Illinois Urbana-Champaign, University of Chicago and Northwestern are embedding ultra-thin sensors in lab-engineered skin to read what cells secrete and when inflammation starts. Chan notes inflammation drives about 50% of all deaths. They're also studying the neuromuscular junction, whose slowing with age helps explain why older people fall.
- 08
New York Biohub: immune cells engineered to act as internal microscopes
Zuckerberg calls it a 'cellular endoscope'. The plan is to engineer immune cells that travel to tissues such as coronary arteries, record whether plaque is present and report back, then eventually engineer cells to clean it up. Targets include places the immune system rarely reaches, such as ovarian and pancreatic cancer and neurodegenerative disease. They describe it as a 10–15-year project.
- 09
CZI leaves drug development to others but backs rare-disease groups
CZI doesn't develop therapeutics itself, though some Biohub teams have spun out startups. Its Rare As One program funds patient advocates to build registries and recruit researchers and drug developers. Chan stresses that 'rare diseases aren't rare': there are over 7,000, and each offers a window into how normal biology works.
- 10
Social media is best for connection, worst as negative passive scrolling
Zuckerberg separates interacting with people, which he associates with well-being, from passive consumption, which is at best entertainment and at worst relentlessly negative news. Meta defaults under-16 accounts to private and offers parental tools, time-use tools and nudges when teens get stuck on one type of content. He says Meta has at times been 'too paternalistic' about deciding what content is good for people.
EXAMPLES
- 01
Single-cell methods reshaped the picture of cystic fibrosis
Cystic fibrosis was taught as a CFTR channel defect that impairs mucus clearance. Single-cell analysis of the lung found an entirely new cell type affected by the CF mutation, which Chan says changed how the disease is understood.
- 02
CELLxGENE: type in a gene, see where it's active
CZI's free tool shows a heat map of which cell types express a gene and pulls up the most relevant papers. A heart researcher might discover the gene also spikes in the pancreas, which suggests new hypotheses, collaborations and possible drug side effects.
- 03
How Meta reduced clickbait
People clicked on clickbait but then barely read it and didn't report good experiences. Meta adjusted its ranking using usage signals plus panels of real people rating which stories they found meaningful.
- 04
Huberman's mixed-reality boxing session
Huberman, who says he hates screen-based workouts, found a mitt-boxing class in the headset engaging enough to forget it was virtual, because he could still see the physical room.
- 05
Ray-Ban Meta glasses and the privacy light
The second version has a camera about twice as good, crisper audio for calls and podcasts, and a built-in AI assistant. Asked about recording in places like locker rooms, Zuckerberg says the right test is whether a technology makes misuse easier than existing tools. A pulsing white light shows when the camera is on, which he argues is more visible than someone pretending to text while filming.
OTHER RELEVANT
- 01
Use the safety tools you already have
Huberman, who was surprised by how many filters exist, recommends Instagram's 'restrict' function over blocking in most cases, and Adam Mosseri's weekly Q&As for learning about features. Zuckerberg says most of this education has to happen inside the product, when the relevant moment comes up.
- 02
Notice your feed's 'gravitational pull'
Huberman compares some content, such as street-fight clips, to highly processed food: engrossing at the moment but leaving you no better off. Animal content, by contrast, leaves him energized. Zuckerberg says the algorithm tries to weigh long-term wants over short-term loops.
- 03
AI versions of real people should be controlled by them
Zuckerberg says Meta bans impersonation and that any creator's AI assistant should be under that creator's control, because current models can't yet guarantee faithful representation. Meta started instead with fictional personas, such as a chef, fitness guides and Snoop Dogg as a dungeon master he uses for bedtime stories with his daughter.