Max Unfried

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Max Unfried

Max Unfried

@MaxUnfried

Man of Science 🧬 AI & Gerophysics to understand Aging. 🇸🇬 Rethinking the Fundamentals of Aging & Rejuvenation Biology @TTIScience 🇺🇸

Singapore & Europe Katılım Ekim 2018
1.1K Takip Edilen4.4K Takipçiler
Max Unfried
Max Unfried@MaxUnfried·
Would love to see an AI hackathon but Transformers and LLM architectures are not allowed. Only bleeding edge model architectures. The new suff!
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Max Unfried
Max Unfried@MaxUnfried·
Linear Algebra for Healthy Lifespan Extension
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Hélice
Hélice@Helice_H·
There isn’t a lack of money for biotech. No, there isn’t. Just look at the world — there’s plenty of money everywhere🤷‍♂️ It’s just not going to the right place.
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Stephen Quake
Stephen Quake@StephenQuake·
Aging isn't just a dimmer switch; it’s a logistics failure. In @NatureAging, Doug Henze, Tony Wyss-Coray, and I show how mRNA "gets stuck" in aging microglia, causing degradation of their spatial context: nature.com/articles/s4358…
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Max Unfried
Max Unfried@MaxUnfried·
Exciting!
Society for Technological Advancement@sotalikesfuture

We are announcing the challenge statements for our upcoming Defeating Entropy Hackathon (20 - 22 March). In collaboration with partners at @imperialcollege, @EinsteinMed, @cryodao, @UniOfSurrey, Klona Biotech and Aleph Surgical we’ve curated a set of concrete technical challenges across replacement and cryobiology. Full challenge briefs (background, literature, private and public datasets) are available to approved participants. See the thread for more details and a link to register.

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Max Unfried
Max Unfried@MaxUnfried·
@mkaeberlein Didn’t have becoming and transitioning into an Italian man with mustache on my bingo card for longevity. The Berlusconi intervention.
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Matt Kaeberlein
Matt Kaeberlein@mkaeberlein·
If you're still sitting on the sidelines, now you can choose your Longevity March Madness bracket based on your favorite mascot!!! Here are a few of my favorites. See if you can guess which interventions they belong to. Then check out our handy-dandy bracket cheat sheet with information on all 64 interventions and their mascots: drive.google.com/file/d/1gG5HDX… And don't forget to complete your bracket before the contest starts: optispan.life/longevity-brac…
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Martin Borch Jensen
Martin Borch Jensen@MartinBJensen·
Very well put! AI is real. It needs data. LLMs have access to all our writing etc. Biology does not have an equivalent corpus of high-quality data that spans the dynamics we're proposing to solve. Diseases and aging occur at the level of organs and organisms, and we need data there to simulate it. Status quo won't get us there in a few years. But we can act! Identify the most important data that can't be accelerated, and start collecting it now so we can leverage AI for longevity as early as possible. We are setting up an @impetusgrants focus on AI-enabling datasets specifically.
Geoffrey Miller@gmiller

A mini-rant abut AI and longevity. They say "Artificial Superintelligence would take only a few years to cure cancer, solve longevity, and defeat death itself'. This is a common claim by pro-AI lobbyists, accelerationists, and naive tech-fetishists. But the claim makes no sense. The recent success of LLMs does NOT suggest that ASIs could easily cure diseases or solve longevity, for at least two reasons. 1) The data problem. Generative AI for art, music, and language succeeded mostly because AI companies could steal billions of examples of art, music, and language from the internet, to build their base models. They weren't just trained on academic papers _about_ art, music, and language. They were trained on real _examples_ of art, music, and language. There are no analogous biomedical data sets with billions of data points that would allow accurate modelling of every biochemical detail of human physiology, disease, and aging. ASIs can't just read academic papers about human biology to solve longevity. They'd need direct access to vast quantities of biomedical data that simply don't exist in any easy-to-access forms. And they'd need very detailed, reliable, validated data about a wide range of people across different ages, sexes, ethnicities, genotypes, and medical conditions. Moreover, medical privacy laws would make it extremely difficult and wildly unethical to collect such a vast data set from real humans about every molecular-level detail of their bodies. 2) The feedback problem. LLMs also work well because the AI companies could refine their output with additional feedback from human brains (through Reinforcement Learning from Human Feedback, RLHF). But there is nothing analogous to that for modeling human bodies, biochemistry, and disease processes. There are no known methods of Reinforcement Learning from Physiological Feedback. And the physiological feedback would have to be long-term, over spans of years to decades, taking into account thousands of possible side-effects for any given intervention. There's no way to rush animal and human clinical trials -- however clever ASI might become at 'drug discovery'. More generally, there would be no fast feedback loops from users about model performance. GenAI and LLMs succeeded partly because developers within companies, and customers outside companies, could give very fast feedback about how well the models were functioning. They could just look at the output (images, songs, text), and then tweak, refine, test, and interpret models very quickly, based on how good they were at generating art, music, and language. In biomedical research, there would be no fast feedback loops from human bodies about how well ASI-suggested interventions are actually affecting human bodies, over the long term, across different lifestyles, including all the tradeoffs and side-effects. It's interesting that most of the people arguing that 'ASI would cure all diseases and aging' are young tech bros who know a lot about computers, but almost nothing about organic chemistry, human genomics, biomedical research, drug discovery, clinical trials, the evolutionary biology of senescence, evolutionary medicine, medical ethics, or the decades of frustrations and failures in longevity research. They think that 'fixing the human body' would be as simple as debugging a few thousand lines of code. Look, I'm all for curing diseases and promoting longevity. If we took the hundreds of billions of dollars per year that are currently spent on trying to build ASI, and we devoted that money instead to longevity research, that would increase the amount of funding in the longevity space by at least 100-fold. And we'd probably solve longevity much faster by targeting it directly than by trying to summon ASI as a magical cure-all. ASIs has some potential benefits (and many grievous risks and downsides). But it's totally irresponsible of pro-AI lobbyists to argue that ASIs could magically & quickly cure all human diseases, or solve longevity, or end death. And it's totally irresponsible of them to claim that anyone opposed to ASI development is 'pro-death'.

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Maria Marinova, PhD
Maria Marinova, PhD@m__marinova·
What do you think is the main driver of sex-specific aging?
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Max Unfried
Max Unfried@MaxUnfried·
Not humans, but evolution should be the central anchor of biomedicine.
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Max Unfried
Max Unfried@MaxUnfried·
On some days I wake up and immediately come across multiple papers that seem relevant to my interests of physics of living systems and gerophysics. Most of the time I have the freedom and I can give in to my curiosity and spend the day working through them and delay other tasks. But sometimes they collide with a deadline, which actually helps me to focus more on the deadline task, so I can get faster to reading the papers. Funny dynamic.
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ARIA
ARIA@ARIA_research·
The search for ARIA’s next cohort of Programme Directors has begun 🚀 As an ARIA PD, you will design and actively manage a ~£50M R&D programme within or around our opportunity spaces with the goal of unlocking scientific and technological breakthroughs that benefit everyone. There is no one way to be an ARIA PD – our existing cohorts come from a range of backgrounds, including academia, entrepreneurship, invention and industry, and have launched programmes in areas ranging from synthetic plants to multi-agent coordination to brain surgery-free neurotechnologies. Full applications will open in August 2026 for a May 2027 start date – over the coming months we’ll be running webinars and in-person events across the UK, Europe, the US and Asia where you’ll get the chance to engage directly with the ARIA team and learn more about the opportunity. Find out more about what it means to be a PD and register your interest to be the first to receive updates on the recruitment process: link.aria.org.uk/pdc3-x
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Parmita Mishra
Parmita Mishra@parmita·
Today's the third time this year I’ve heard someone’s partner died in their sleep. Third. I must blurt the uncomfortable truth out loud. this is often an engineering problem. We need hardware-AI. And you might already own some of the fitness trackers that get us there. 🧵
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