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Kevin Esvelt
@kesvelt
Sculpting evolution & safeguarding biotechnology, MIT Media Lab.
Cambridge, MAsculptingevolution.orgJoined February 2014

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When in doubt, try them all. In this case, all 20 known flu H antigens. This is a major advantage of nucleic acid vaccines. Key question: can it generalize to hundreds of antigens in order to cover dozens of viruses?
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We developed a new multivalent mRNA vaccine against all known influenza virus subtypes. Our study describing the vaccine was just published in @ScienceMagazine. 1/n science.org/doi/10.1126/sc
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How likely is pandemic terrorism? We know of one mass murderer - Seiichi Endo - who, if he lived today and pandemic blueprints were available, would have both the skills and the intent. That’s a 2% risk per year since the dawn of biotech. Best we prepare our defenses.
Delay, Detect, Defend roadmap to preparing for a world in which thousands will be able to start new pandemics.  

Available at: https://dam.gcsp.ch/files/doc/gcsp-geneva-paper-29-22?_gl=1*19w13bd*_ga*MjkzODIyMDA1LjE2NjQ4MzYzMTI.*_ga_Z66DSTVXTJ*MTY2ODQzODQwMS42LjEuMTY2ODQzODQyOS4wLjAuMA
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To those weary of pandemics, this may seem excessive. Consider that the detection and defensive investments will also work for natural and accidental pandemics. Nature isn’t trying to kill us, but it could still crash civilization if we're unlucky. Let's not take the chance.
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One thing I hope to arrange: comprehensive safety studies of much higher levels of low-wave light. Skin, eyes, wounds, ozone, VOCs, everything. Let’s invite the world to share suggestions/concerns, listen, design experiments together, & run pre-registered studies in replicate.
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Better still, preliminary experiments suggest that much higher levels of low-wave light are safe. If we could inactivate most viruses in the air or on surfaces within a second or two, that would be the end of pandemics. And the flu, and common cold, and most infectious disease!
Artistic depiction of a world free from respiratory and surface-transmitted infectious disease, due to universal installation of high levels of low-wavelength (~222nm) light. Image generated by DALL-E2
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The recently raised its safe exposure limit for 222nm light to a level that can eliminate 90% of viruses per minute. That’s nearly 10x better than the best aircraft or hospital ventilation system… and they stack.
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Go low enough in wavelength, and light starts to be absorbed by proteins, meaning it can no longer penetrate our skin and eyes. But it’s still germicidal to tiny viruses and bacteria. That means our light fixtures might save us from the next pandemic.
The potential of 222nm and similar wavelengths of light to defend against the next pandemic. From Delay, Detect, Defend.
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But the best pandemic defense would block transmission without people having to do anything at all. Ventilation is great, but expensive. Upper-room germicidal needs high ceilings and fans. We need to cleanse the air passing between two people in conversation. And we can.
Artistic depiction of low-wavelength germicidal light (~222nm, not actually visible) generated by DALL-E2
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The idea, first pioneered by , is to tell you how many 1-degree (your contact), 2- (friends’ contacts), 3-, 4-, and 5-degree contacts have been infected, so you know how at-risk you are before you get exposed… and can take precautions.
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But we don’t want to wear PPE all the time. To handle the early and late stages, when we’re stamping out brushfires, we want people to take precautions only when needed. The solution: personalized early warning based on social connections.
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Defend Imagine you work in food production in close contact with others. A new pandemic, 50% lethal, is as transmissible as omicron. Do you keep going in with only a mask offering 95% protection? If many decline to risk their lives for inadequate pay, societies will collapse.
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If wanted to identify natural pandemic viruses or wanted to fund virus enhancement work because they viewed the benefits as greater, they could do so, but only if they covered the cost of the downside risks that are currently offloaded onto taxpayers.
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To conduct research with a nontrivial chance of such a catastrophe, like pandemic virus identification (but almost nothing else), institutions would have to pay to cover the downside risk as determined by expert insurance risk assessors.
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Perhaps best: catastrophic liability and insurance. Pass a trigger law: anyone causally linked to an event causing >1m American deaths, no matter how indirectly, can be held liable, and general liability insurance must cover this (up to a cap given the astronomical cost).
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Again, write to and ask them to reform DEEP VZN to remove the laboratory characterization steps. Redirect funds to ensure vulnerable communities in hotspots can identify epidemics and sequence the responsible agent within 1 day (via nanopore).
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So what are the answers? We don’t have them ready yet, so we’d best delay. To start, let's refrain from characterizing high-risk viruses in the lab to learn which ones are likely pandemic-capable, i.e. share blueprints for an arsenal of plagues.
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To credibly identify a virus as capable of causing a pandemic – of inflicting more casualties than any nuclear warhead – is to give thousands the power to wield it as a weapon. Let's not. #PandemicNonproliferation washingtonpost.com/opinions/2021/
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Leo Szilārd wrote: "science, which has created the bomb and confronted the world with a problem, has no solution to offer to this problem." I'm certainly no Szilárd, but I do have experience inventing exponential biotech, and there are ways to obviate catastrophic bioterrorism.
Leo Szilārd, who conceived of the nuclear chain reaction perhaps six years before any other scientist, convinced Albert Einstein to sign the letter that helped launch the Manhattan Project after Szilārd’s effort to suppress the publication of results that would tip off Nazi Germany narrowly failed.
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Nuclear power plant operators are liable for damages from accidents or sabotage and must have insurance. Why not require the same for institutions working with (or sharing blueprints for) potential pandemic agents? Let insurance analysts assess the risk and charge accordingly.
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This is why 's move might be transformative: a quasi-journal-independent way to get your manuscript reviewed for importance and technical correctness and disseminated to relevant audiences. Time to replace journal name with DOI in slides... & eventually, everywhere.
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The (near) future of publishing: Editors will be curators. Peer review services will generate reviews (by paying reviewers?) Your paper will be highlighted (“published”) in many places at once (for free/cash/displaying ads?) much like news stories are picked up by journals.
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Instead, let's do awesome science that doesn't pose concrete security risks to the lives of millions. Like finding highly active integrases that work in mammalian cells, possibly obviating the inefficiency of lentivirus libraries. Excited to try them!
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What are those experiments? Measuring: growth in relevant primary human cells (e.g. airway epithelial cells), transmission in relevant animal models, & immune evasion of an extensively engineered circulating human virus. Let's not share blueprints for an arsenal of plagues.
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So what to do? Since we can’t agree on what GoF means, let’s refrain from performing experiments that could identify a virus as pandemic-capable. That would address high-risk GoF and natural identification & leave the other 99.99% of virology unaffected.
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We’re talking about research that, if successful, would obviate decades of nonproliferation efforts seeking to keep tools capable of killing millions from falling into the wrong hands. And no one has bothered to make a model to see if it’s a good idea.
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Of course, that brings us back full circle: does it matter if the mutations are natural? Of course not. The key question: is the study likely to save lives, or kill people? Shockingly, I haven’t seen a cost-benefit model, or even a back-of-the-envelope.
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One could argue, “No, we can keep doing it with pieces of viruses that obviously won’t cause new pandemics, and just refrain from any experiments that might.” First, you’re making it more credible every time. And second… really?
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