DeathlessDAO

🧬 Top 10 Science-Backed Biohacking Secrets for Extreme Longevity: Unlock Your True Potential Now! 🚀 #biohacking #longevity #health

@nvidia CEO Jensen Huang says that he doesn't know what else is better than wishing upon aspiring people to suffer in life so that they would learn the RIGHT lesson He is soooo wrong in the thinking process, though. What we should wish upon youngsters is not that they should suffer to learn the right lesson. We NEED to wish upon the youngsters that they should try to solve the hardest problem they can ever conceive of. In the path towards doing that, they would learn the right lesson

Bro casually opensourced what companies are spending millions on and are charging hundreds and thousands of dollars from users for biological age tests. 🔥🔥🔥

You want to get your biological age tested. You search Google. 100 different tests. You pick a few. They all give you completely different numbers. Whom to trust? How about you trust no one. Take control with OpenAge. openAgeAI.com

See it in action at openAgeAi.com/chat/ Building your own aging model used to require a research lab. Not anymore. With public data and your existing blood test records, you can tune the model by including the blood markers that are more meaningful to your situation (Claude already knows what they are!) and create a personalized aging clock to inform your habits, supplement dosages, and protocols based on your own models and personalized analyses. ( Plus it's more accurate than what you get when you pay !) OpenAge AI does this for you. website: OpenAgeAI.com Code: github.com/Healome/openage Data: huggingface.co/datasets/Healo… Models: huggingface.co/Healome/openag…

How to increase the confidence score of this model ? This model focuses on predicting chronological age after correcting for diseases. A better version would be trained to predict all-cause mortality directly, but the current dataset has too few mortality events for sufficient confidence. The repo also contains a VAE-based encoder architecture to incorporate other omics modalities and enhance the signal-to-noise ratio. Star the repo and let's build the best models we can trust. website: openageai.com Code: github.com/Healome/openag…

My definition of truth here is inspired by discrete math: something that is comprehensive, consistent, sound, and correct. But more importantly, a true statement has to make all its downstream corollaries also true. If someone tells you "your biological age is 34," every decision you derive from that number, like adjusting a supplement dose, changing a protocol, or evaluating whether an intervention worked or not, should also be valid. If any part of the underlying information is missing (the error range, the confidence interval, the sensitivity to transient states), then the confidence in every downstream decision has to decrease proportionally. Because it means the original statement wasn't comprehensive enough to disclose the full state of what it's measuring. A biological age number without this extra context ( of error rates, dataset inconsistencies, disease variations, not having corrected for all disease groups across all age groups, heavily non-reliant upon test-retest, etc) is a lie in the sense that it presents itself as a complete truth when it's actually a partial statement with missing context.

Since the GrimAge class of models is still trained on methylation data, all associations are true only at the population level. Great metric for global health/policy making/cohort-based analytics. But, for an individual, due to high variance throughout the day, we can not conclude much out of this at its face value without adding a huge uncertainty window. Terrible for personalised decision making on supplements, etc

@tbpn The self experiment time for seeing significant n=1 effect currently is more than 10 years

Aging kills everyone

Besides, it also indirectly implies higher Vo2 max is bad for those with cancer!

Huge life update: Got my O1A visa approved !!! Last year was extremely chaotic. But back in SF. Feels sooooooooo good to be back in the founder mode with full force again. Now, it's time to build. Huge shoutout to @lighthousehq_ @robbyvisanueva @minney_cat helping me throughout Super grateful for all my friends and support from @LTIatCMU @zfellows @LBF_org @joinodf @Healome1

🧵1/ LBF7 Spain is happening and we're doing something kinda wild: -We’re gathering the smartest people who want to SOLVE AGING -going to a longevity resort in the Spanish mountains -to learn, discuss and ACTUALLY BUILD stuff for 7 days straight Here’s what we’re cooking 👇

And we need very strong metrics that can guide AI to navigate through these hypotheses space and rank various approaches to comprehensively solve aging. When the metric is strong ( precise, interpretable, actionable, and reactive to all the interventions in a unique way) AI can be scaled infinitely to search the entire space of possible hypotheses with RL or even just DPO for models at cellular/organ level. This is the most important problem to be solved to align AI for Longevity. Comment what you think such a metric looks like ?

Excited to announce our article published in #NatureMedicine "Cities, communities, and clinics can be testbeds for #HumanExposome and aging research" presenting the idea of a systemic framework of using real-life human data across several test beds to assess the #CausalCorrelations of everything on the #BiologicalAging in a decentralized fashion nature.com/articles/s4159…

If you believe that AI can solve all the suffering - you need to truly be ruthless in defining what causes suffering You can only do that with excellence and being uninhibited about the truth. You need to explicitly express the truest states of utopia with deep meaningful states of life. You live forever healthy in such a world. Just saying I want to be healthy is like aiming for a good sleep. Saying I want to live a healthy tomorrow is asking for immortality Even sleeping everyday also takes us very close to death.. infact it's same as death it's just that after we get up, the world is a bit more famililar than it would be for a new born baby (after the death of someone) oldage ( and also death as a result of it) give meaning to the life because of the "suffering" involved in it. The "suffering" exists because of the expectation of your "natural" life and the reality ( old age). So, is why old-age provides the meaning to the life and by extention one may say that a life well lived must include death but if you zoom back out slightly so, you can engineer suffering. Just by adjusting our expectations. You can suffer with hunger till night by not eating food, And get close to infinite bliss by eating a heavy meal. You can suffer by throwing away all your money you ever earned/saved, and starting again fresh. Certain forms of suffering like the examples i gave are, IMO , the kind of suffering that lets you spring back from it with some non zero probability if you work hard ( or in other words , if you LIVE YOUR MEANINGFUL LIFE) old age, and death are the other kind of suffering. No amount of you living a meaningful life will ever get you back at life. It's irreversible suffering. It's not necessary !!!

Hi @fedichev , As per this paper, would it then be right for me conclude that - if we have a way to keep the total Gibbs free energy negative forever (ΔG < 0 ) , it would be a valid aging therapetic towards immortality. If that were the case, ΔG is a valid biomarker of the entropic aging. Like how we measure VO2max today, we can create a device to measure the ΔG to assess the efficacy of any aging intervention ?

LongevityGPT is now much more advanced. It is now indexed on 100x more papers and several other ontologies and databases, with a 150 times faster response time, and you will feel the magic while using it !!! Do some deep-dives at askLongevityGPT.com, especially about the things listed in the following tweets. Mixture of Agents (MoA) coordinate to orchestrate the subtasks based on high-level reasoning to curate the final answer x.com/nikhilyadala/s…

Life is so beautiful on its own. Everyone deserves a fair chance at life and to live it healthy. It’s demeaning to say that life gets its purpose solely because of death. We don’t have unlimited resources, compute, or time to keep waiting forever and accumulating the opportunity cost of not solving aging. The highest ROI thing you could do today is to convince the smartest friend you know in your life to appreciate the urgency and necessity to divert their focus to solve this global pandemic NOW If enough smart people work on this, it’s easy to achieve Longevity Escape Velocity before your loved ones have to suffer for decades and die miserably ! Here is a list of major problems and solutions you and your friends can start working on today longbiofellowship.org/bottlenecks

Why is slowing down aging the most difficult task? 1. Imperfection of biological reactions: Biochemical processes in the body always produce harmful byproducts. Even the most effective repair systems cannot eliminate all damage, which accumulates and affects aging. Evolutionary selection is not designed to fix all damage, but rather to increase fitness for passing on genetic material. 2. Antagonistic nature of biological processes: Water, oxygen, and glucose, necessary for life, also cause damage. Many biochemical processes are simultaneously beneficial and harmful, complicating the fight against aging. 3. Contradiction of stability and instability: Instability, such as genomic instability, is necessary for evolution and normal functioning but also accelerates aging. 4. Systemic nature of biology: The organism is a complex network of interacting cells and organs. Insufficient understanding of these interactions can lead to unexpected negative consequences from interventions. 5. Limited model organisms: Research on aging using worms, flies, and rodents is not always applicable to humans, who have more complex organs and systems. 6. Complexity of the human brain: The human brain is particularly susceptible to aging due to its complexity and various factors, such as inflammatory immune responses and DNA damage. 7. Lack of rejuvenation mechanisms: The body does not possess inherent mechanisms for radical tissue regeneration, complicating life extension efforts. 8. Problems in the organization of science: Scientific research often does not focus on developing a theory of aging or radical approaches to extending life. Many solutions effective in animals may be useless for humans. 9. Unresolved smaller tasks: Science has not solved many simpler problems, such as curing monogenetic diseases, indicating the difficulty of combating aging. 10. Pharmaceutical giants turning away: Pharmaceutical companies, despite their experience and resources, do not pursue the creation of anti-aging drugs. 11. Insufficient funding: Budgets for aging research are small compared to the scale of the task. Investment in combating aging is not comparable to spending on other issues like pandemics. 12. Lack of a plan and theory: There is no single plan or theory of aging. The reductionist approach often fails, and it is unlikely that one mechanism of aging will be found. 13. Hostility and ignorance: The optimism of life extension advocates shocks experts, while the biological community often ignores or opposes the idea. 14. Ignoring bold approaches: Experiments on organ and tissue replacement are rare, and no major organizations aim to radically extend life. 15. Weak philosophy of life extension: The philosophy of life extension is barely noticeable, while society maintains a mortalistic ideology. Immortalism propaganda has little influence on politics. 16. Increasing risks: Risks of nuclear war, bioterrorism, and unfriendly AGI are growing, while discoveries in aging biology show we are farther from solving the problem than we thought.