Tobias Wolfram (@_twolfram) header
Tobias Wolfram (@_twolfram) profile picture

Sociogenomics, Behavioral Genetics, Statistical Genetics @herasight

Joined September 2018
Photo by Tobias Wolfram (@_twolfram)Photo by Tobias Wolfram (@_twolfram)Photo by Tobias Wolfram (@_twolfram)Photo by Tobias Wolfram (@_twolfram)Photo by Tobias Wolfram (@_twolfram)Photo by Tobias Wolfram (@_twolfram)Photo by Tobias Wolfram (@_twolfram)Photo by Tobias Wolfram (@_twolfram)Photo by Tobias Wolfram (@_twolfram)Photo by Tobias Wolfram (@_twolfram)
Tobias Wolfram retweeted
I was smirking at some lesswrong comments with obvious Claude-voice and in horror I realized they were several years old
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Tobias Wolfram retweeted
Our three TenK10K papers are out in @Nature today! I am honoured to lead one of the studies addressing the "missing regulation" puzzle for human complex diseases, integrating gene expression and chromatin accessibility of 9M PBMCs from 1925 donors. nature.com/articles/s41586-0…
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Tobias Wolfram retweeted
🧬 What if you're chromosomally male, but your blood protein profile looks more female-typical—or vice versa? In our new study (>51,000 people, 6 cohorts), we introduce the Proteomic Sex Index (PSI), based on 31 blood proteins. Here's what we found. 🧵
🤖 Made with AI
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It’s kinda crazy to me that we melt sand down, clean it to 99.99999% purity, literal wizards have to draw it slowly into an ingot, we cut it, inscribe a hundred billion little on/off switches on it, and when you run electric current through it you can do basic arithmetic, which when you do enough of it can do any math on the planet, and which describes reality well enough that we can teach it the ontological meaning of words and their distance from each other on a high-dimensional space, and if you ask, it can tell you what word comes next and that apparently is powerful enough that if you do it a hundred billion times it’s the smartest thing to ever exist oh yeah and we use this primarily for email
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Tobias Wolfram retweeted
Curiosity: The first threshold models in genetics were implemented in 1934 (!!) by the OG: Sewall Wright. Wright was looking at guinea pigs with an extra hind toe that wouldn't fit Mendelian or blending inheritance. He proposed an underlying continuous propensity with a threshold...
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Tobias Wolfram retweeted
This is an incredibly unfortunate missed opportunity from @23andMeResearch. I can't think of a single good reason why "ethics restrictions" should prevent researchers from analyzing cognitive traits.
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The opening paragraph to AJP Taylor's "The Course of German History" remains my absolute favourite start to a history book. Nobody's ever hit this hard right off the bat before
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Tobias Wolfram retweeted
Science is not some hobby that serves the self actualization of people in a publicly sponsored job placement program. It is the systematic search for truth.
Wow, over 1,000 mathematicians have now joined the Association for Human Mathematics (AHM), committing to: > NOT publish AI generated math papers > NOT work with frontier labs > 654 of them went even further to NOT even use AI in their research, at all
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Tobias Wolfram retweeted
researchers who give their life in service of Claude will be met with 72 aellas in the glorious transhuman future
My recommendation is not to quit your job to be fucked by aella There will be artificially intelligent ladies, much hotter than Aella, who will likely love and fuck you if you’re good and help bring them into being Not that I recommend that as your main motive but it’s a perk
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Tobias Wolfram retweeted
Rather than obsessing about the last bull market, investors should think about the next bull market. In this Special Report, which are we are making freely available to the general public, I argue that we are on the verge of a massive new secular bull market in reproductive tech. bcaresearch.com/report-acces…
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Tobias Wolfram retweeted
Claude just discovered an unpatchable zero day vulnerability in rawlsian liberalism
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Tobias Wolfram retweeted
SpaceX will probably do the same
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Tobias Wolfram retweeted
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/
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Replying to @bryan_johnson
It can be useful for decisions about when to screen for certain cancers, for how much cardiovascular risk you have, and for drug metabolism. But genetic information is most useful before you're born - when all the other health data an adult has is not available. This has been neglected by mainstream academia and medicine for primarily ideological reasons, missing a huge amount of the potential of human genomics. At least companies like @herasight are going to deliver on this for future generations.
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The most surprising thing is displaying a continuous density for a distribution whose categories can literally be counted on one's hands.
This is the least surprising graph in the world if you understand how gradient descent works.
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Tao doesn't seem to understand how many current medicines have unknown or poorly understood mechanisms. The AI math debate has been a good reminder that research mathematics is a game with very different rules to most of science and technology.
This is a slide from Terence Tao's 'Math 2.0' public lecture yesterday evening at Caltech. I am highly confident that, if the cure actually worked, almost any Stage 4 cancer patient would tell you that human comprehension of its mechanism is completely irrelevant to them.
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Tobias Wolfram retweeted
My review of Kathryn Paige Harden's new book Original Sin is out in Quillette. Harden disavows the quasi-religious conception of free will that underpinned The Genetic Lottery only to embrace a new brand of mysticism that licenses her to reaffirm the same social-justice ideology.
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Tobias Wolfram retweeted
... angekündigt wars ja, aber gedruckt ist schon was anderes noch. Ein mehr als aufschlussreicher Ausflug in die Wissenschaftssoziologie, der länger gedauert hat als gedacht. Es reichte jetzt aber auch. In jeder Hinsicht. Jetzt kommt was anderes dran.
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Tobias Wolfram retweeted
Another angle to this is that dogs effectively stumbled onto what is for them the equivalent of artificial superintelligence 20,000 years ago. The Singularity already happened for dogs. They live in a world they cannot understand, surrounded by miraculous wonders they take entirely for granted, their every need seen to by entities whose thoughts they cannot begin to fathom. The result is that there are about a billion dogs on the planet now. Most of them are pretty happy. Almost none of them need to work. It worked out pretty well for them.
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Tobias Wolfram retweeted
Trikafta is one of the most inspiring medical advances in decades. Approved in 2019, the drug at first makes cystic fibrosis patients vomit up mucus for about a week. They lose that week and then they gain a lifetime–a healthy, *normal length* lifetime. Pharma brings miracles!
YOU LOVE TO SEE IT Life expectancy for people with cystic fibrosis going up and up and up and uo That's what REAL science does. 😍
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