Knowledge manifests itself in radiant dreams that shimmer like the wild sun Views are my own davidpfau.com on 🦋

London
I’m beyond thrilled to share that our work on using deep learning to compute excited states of molecules is out today in @ScienceMagazine! This is the first time that deep learning has accurately solved some of the hardest problems in quantum physics. science.org/doi/abs/10.1126/…
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A selection of photos showing Buran at the launch pad in Baikonur, arranged in sequence.
maks
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David Pfau retweeted
Remarkable Magnum Opus from @VamsiMootha & the Mitocarta Tree of Life consortium consisting of 9 back to back research papers (+2 perspectives) just released in Cell and Cell family journals: - Characterization of mito proteomes from 6 diverse species, from Giardia to Leishmania to Arabidopsis - Optimized methods for mito enrichment, DIA mass spec, protein correlation profiling, microscopy validation, and cryoEM analysis of native complexes - Comparative analysis reveals dozens of proteins shared among pathogens but lost in human hosts = “pan-parasite” drug targets - Data used to re-train ML predictor of subcellular localization => predicted mitoproteomes across hundreds of eukaryotes - Giardia solute carrier discovered with functional validation - Dynamic rewiring of Acanthamoeba mito proteome from aerobic to anaerobic energy production characterized And tons more… The papers are instant landmarks and raise even more questions than they answer, paving the way for many future investigations of this fascinating organelle #mitochondria cell.com/consortium/mitocart…
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David Pfau retweeted
The Economist published an article yesterday calling for regulations to protect against mirror life. They propose restrictions on buying mirror chemicals, including extremely normal stuff like L-Glucose or D-amino acids. What is going on, guys? Where did this come from? I think the concerns about AI designing pandemics are overblown, but at least designing viruses is a real thing that we actually know how to do. 1. To be clear: we do not have any idea today how to make an autonomous cell from scratch, mirror or not. Making a mirror cell from scratch is much, much harder than making a non-mirror cell from scratch. I am a believer in strong AI acceleration but there is a lot of hard science and manufacturing that is missing here. People have ideas about how to do it, but they have ideas in the same way we have ideas about quantum computing: we will have lots of hints that it's around the corner before you see in on a shelf at walmart! Call me when we create an autonomous non-mirror cell in the lab from scratch, and then we can chat about sensible regulations. 2. Even if they existed, mirror bacteria wouldn't be able to escape the lab: they couldn't eat anything. Good luck being a left handed organism in a world where all the food is right handed. I know, a malicious person with access to mirror life could in principle give the mirror organism a way to digest non-mirror food, and then it could wreak havoc. But the converse is also possible: if a mirror bacterium were on the loose we could just give the normal non-mirror bacteria enzymes that would allow them to eat the mirror bacteria, and drive competition. This fact is generally ignored. 3. Finally, mirror life doomers pretend we have no defense against mirror life. This is also just nonsense. We have plenty of defenses. They are called mirror antibiotics. Mirror antibiotics would work against mirror life the exact same way non-mirror antibiotics work against non-mirror life. And there are way more options for mirror antibiotics than there are for non-mirror antibiotics, because we don’t have to worry about accidentally killing the human in the process! We actually even already have a ton of mirror antibiotics, since they are usually byproducts of antibiotic manufacturing. Fosfomycin, for example, is extremely simple, easy to manufacture in bulk, and industrial quantities of mirror fosfomycin are already produced today as a byproduct of fosfomycin synthesis. D amino acid analogs, like D-cycloserine, would also be very effective. If we can figure out how to make mirror life we can definitely figure out a bunch of universal mirror antibiotics to kill it. Spare a thought for the poor scientists studying chiral biochemistry. Their requests to the models are all about to be denied as potentially dual risk. Meanwhile, want help finding a supplier for a toxin with nanogram LD-50? Sure, Claude will help you with that. I agree mirror life escaping the lab would be bad and it deserves consideration, but can we stop pretending that it is a huge danger right around the corner that deserves front page regulatory attention, and instead focus on real shit like AI cyberattacks and the fact that the poles are still literally melting?
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The year is 2027. You join the Zoom call for your job interview. He begins: "you are walking through the desert and find a tortoise on its back..."
Replying to @tavus
Ari solves a Rubik's cube while Griffin coaches him from what it sees in his hands, and when he goes quiet to think, it waits. Its perception is always on, so it acts without being asked. Note: this actually blew our minds seeing happen live.
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David Pfau retweeted
Introducing 💫 Gumbel Straight Flow 💫: Distilling Autoregressive Models into One-step Flow Maps 🚀 Can autoregressive (language) models be used as teachers for flow map parallel samplers?
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David Pfau retweeted
1/ 🚨 Just out in @NatureNeuro! 🧠 We profiled >6,000 features of brain dynamics across humans + monkeys, mice, fish and worms 🧑🐒🐒🐁🐟🪱 to find a shared neural endpoint of anaesthesia: spatiotemporal isolation of local activity 🧵 🔗 doi.org/10.1038/s41593-026-0…
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Certainly there is awe, it is all awe, it transcends previous categories of awe, but we don’t know whether we are watching in wonder or dread, we don’t know what we are watching or what it means,
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we don’t know whether it is permanent, a level of experience to which we will gradually adjust, into which our uncertainty will eventually be absorbed, or just some atmospheric weirdness, soon to pass.
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Still some frontiers left for those outside the big LLM companies.
In our Nature paper, we introduce the first superhuman Stratego AI, which we built using general techniques that we developed for RL & test-time compute under imperfect information. 1/N
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David Pfau retweeted
POV: You’re about to read the worst op-ed ever
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So why is it that today donors create all these satellite campuses of existing schools (CMU Miami, Cornell Tech, NYU Dubai) instead of new universities? Carnegie and Mellon didn't create Harvard Pittsburgh, why is this not Griffin University?
Ken Griffin gave $3B to Carnegie Mellon, the largest gift in college history $2B of it is to set up a campus in Miami (Wynwood) $1B to Pittsburgh, including $500M for the school of Computer Science CMU Miami will focus on grand challenge areas and will have 3,500 students
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*NYU Abu Dhabi, honestly can't tell the difference.
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David Pfau retweeted
Excited to share our EMNLP oral paper! We find that RL teaches model to traverse parametric knowledge more effectively, thus accessing knowledge previously inaccessible in instruction-tuned models. With @niloofar_mire, @RylanSchaeffer and Manasa Kaniselvan 🧵
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David Pfau retweeted
growing corn for ethanol is actually completely bananagrams crazy
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Objectively a great thing, let's f'ing go. Now we just need to do this for ticks and screwworms.
When I stilled worked on biosecurity, I first learned about Debug, a Google project to reduce mosquito populations. Results from their Singapore pilot are now out. They crushed mosquito populations, reducing dengue infections by 70% in the process:
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Trump signed an executive order yesterday directing federal agencies to develop and implement, by November 27, a campaign across Washington, D.C. to reduce, by 2028, invasive mosquito populations by 90% & tick populations by 50%: whitehouse.gov/presidential-… @chenderson
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Alright, since everyone is now waking up to the fact that infrastructure is a thing that can be vulnerable to hacking, it's worth remembering what a major cyberattack on global shipping networks looks like in practice: wired.com/story/notpetya-cyb…
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Two things that stand out to me relative to the discourse: (1) Crypto, not AI, is what enabled this hack, by incentivizing ransomware through anonymous blockchains like Monero (2) While this was a nearly-worst-case scenario, no one outside the shipping industry even noticed.
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This is why crypto is an x-risk.
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OK upon reading further (always click the link first...) they are basically doing what we already do with screwworms (but need to do more of)
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