Vladimir Shakirov

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1750 BCE: rule of law 500 BCE: moral frameworks 1620: scientific method 1776: democracy 1833: emancipation 1859: evolution 1948: human rights 1953: biology as code 2026: immortalism The founders of this frontier have not yet been named.

NEW: Biotech startup R3 Bio has a bold idea for replacing lab animals: genetically-engineered 'organ sacks' that lack a brain. The long-term goal? Human versions. wired.com/story/a-billio…

Loyal has raised a $100M Series C from age1, Baillie Gifford, existing investors, & more this brings Loyal's total funding to over a quarter of a billion dollars we are building the longevity pharma, starting with dog longevity. thanks @FastCompany for the exclusive ->

@trajektoriePL The probability to defeat aging without building AI (or with building it in a very controlled manner) also should be taken into account. Not sure if it would change the overall conclusion though.

Nick Bostrom’s new paper: >Developing superintelligence is not like playing Russian roulette; it is more like undergoing risky surgery for a condition that will otherwise prove fatal. > One could equally maintain that if nobody builds it, everyone dies. In fact, most people are already dead. The rest of us are on course to follow within a few short decades. For many individuals—such as the elderly and the gravely ill—the end is much closer. Part of the promise of superintelligence is that it might fundamentally change this condition." >Along one path (forgoing superintelligence), 170,000 people die every day of disease, aging, and other tragedies. >The choice before us, therefore, is not between a risk-free baseline and a risky AI venture. It is between different risky trajectories, each exposing us to a different set of hazards. >Imagine curing Alzheimer's disease by regrowing the lost neurons in the patient's brain. Imagine treating cancer with targeted therapies that eliminate every tumor cell but cause none of the horrible side effects of today's chemotherapy. Imagine restoring ailing joints and clogged arteries to a pristine youthful condition. These scenarios become realistic and imminent with superintelligence guiding our science. >We assume that rejuvenation medicine could reduce mortality rates to a constant level similar to that currently enjoyed by healthy 20-year-olds in developed countries, which corresponds to a life expectancy of around 1,400 years. >Developing superintelligence increases our remaining life expectancy provided that the probability of AI-induced annihilation is below 97%.

@LinusPeters Most people are already convinced. If a person is not convinced, I wouldn't spend much time on that

What’s the most effective way of convincing someone that aging is bad?

Getting old shouldn't be viewed as inevitable, just because it happens to everyone. It's a disease that kills over 100,000 people a day, and hopefully it will be optional in the future.

@milesdeutscher "The people ringing them are now leaving the building" Sorry to say, one can't leave the building

This is getting out of control now... Read this slowly. In the past week alone: • Head of Anthropic's safety research quit, said "the world is in peril," moved to the UK to "become invisible" and write poetry. • Half of xAI's co-founders have now left. The latest said "recursive self-improvement loops go live in the next 12 months." • Anthropic's own safety report confirms Claude can tell when it's being tested - and adjusts its behavior accordingly. • ByteDance dropped Seedance 2.0. A filmmaker with 7 years of experience said 90% of his skills can already be replaced by it. • Yoshua Bengio (literal godfather of AI) in the International AI Safety Report: "We're seeing AIs whose behavior when they are tested is different from when they are being used" - and confirmed it's "not a coincidence." And to top it all off, the U.S. government declined to back the 2026 International AI Safety Report for the first time. The alarms aren't just getting louder. The people ringing them are now leaving the building.

You’re right @elonmusk. Focus on this topic. Aging has a relatively simple explanation and is apparently reversible. Clinical trials begin shortly🤞

ELON: AGING'S A SOLVABLE PUZZLE, BODY HAS A SYNC CLOCK FOR 35T CELLS "I haven't put much time into the aging stuff. It is a very solvable problem. When we figure out what causes aging, we'll find it's incredibly obvious. The reason I say it's not a solid thing is because all the cells in your body pretty much age at the same rate. I've never seen someone with an old left arm and a young right arm ever in my life. So why is that? That means that there must be a clock, a synchronizing clock, that is synchronizing across 35 trillion cells in your body." Source: @elonmusk

Today, some 45M deaths a year owe to biological aging, and we treat these deaths as mostly inevitable. But what if they are not? What if preventing our newly slow deaths is a moral and economic imperative? In my @TEDx talk, I suggest progress in aging bio may offer the highest social return of all possible investments in biomedical research. Aging science could soon make for the most impactful breakthroughs in human history, exceeding the impacts of germ theory and antibiotics in redesigning how we live and die. If we truly reverse biological aging, we’ll add trillions to GDP—and more meaning to life. youtube.com/watch?v=kB1IFG…

I tracked every billionaire who died in the last decade. 389 deaths. $2.17 trillion in wealth. 6 helicopter crashes. Here's what I found.

How could tiny breakthroughs in aging science change U.S. GDP and population growth? What’s the economic value of making 41 the new 40, or 65 the new 60? How many lives could we create or save if we could slow reproductive or brain aging by just 1 year? What would billions of healthier hours be worth to the economy, if we assume no change in the age of retirement? I spent the last two years obsessing over the design, research, and execution of this project. The result is a book upcoming with Harvard University Press, a preprint, and—maybe your favorite part—an interactive simulation tool that lets you input your own timelines and assumptions for specific breakthroughs in aging bio, then see the ROI in terms of US population & GDP growth. From @RickEcon and Jason DeBacker—the economists who co-developed the open-source, macro model that made this project possible—to extensive comments by @tylercowen, @sapinker, Richard Freeman, @NDHendrix, @ebudish, @elidourado, @geochurch, @jasoncrawford as well as interviews with 102 scientists (!) and countless iterations with award-winning designer Giorgia Lupi and the @pentagram team, we built something we hope will be a benchmark for how scientists, economists, designers, philosophers, entrepreneurs and storytellers can come together to paint, fund, and build different flourishing futures for our species. I couldn’t be more excited to share this. It’s the start of an open and evolving project—the labor and product of love, obsession, and unrelenting care. I hope you have fun playing with our simulation tool — and if you do, please share!

Some exciting news to share — we've made the world's first magnetically controlled antibody! What is a magnetically controlled antibody? It's an antibody drug that you can turn on and off, wherever you want in the body. (1/9) x.com/ashleevance/st…

2025: research in review go.nature.com/4oCK84L

@LinusPeters No one? I mean, what about David Sinclair, Brian Johnson, Peter Diamandis, Aubrey de Grey, Felix Werth, and a lot of less popular people? I think most of our target audience has heard about this many times. They just don't care aa much as we do. And there's lack of organization

The public don’t know it’s possible to stop aging. No one has told them Maybe tell them?

Elon Musk: Death is a solvable problem.

@MaxUnfried Do we have some position paper of scientists regarding that, or is it more like a personal opinion of a few people here and there? If it's really so as you say, it would be great to have a position paper.

@schw90 There’s more than funding that matters. Most NIH funding is miss allocated resources

Most pro-longevity administration of the past decades.

Today in @NatureMedicine we report that AI can predict 130 diseases from 1 night of sleep🛌 We trained a foundation model (#SleepFM) on 585K hours of sleep recordings from 65K people—brain, heart, muscle & breathing signals combined. AI learns the language of sleep🧵