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This is it. Everything learned spending millions on longevity. From: Your Immortal Unc and Auntie. To: Our Immortal nieces and nephews. 0. Sleep is the world's most powerful drug. 1. Be in your bed for 8 hours 2. Same bedtime every night, any time before midnight 3. Don’t eat right before bed 4. Calm foods for dinner 5. No screens 1 hour before bed 6. Avoid added sugar (be aware it’s in everything) 7. Avoid all things in an American convenience store 8. Avoid fried foods 9. Shoes off at the door 10. Eat whole foods, particularly veggies fruits nuts legumes berries 11. Walk a little after meals or air squats 12. Get your heart rate high routinely 13. Lift heavy things 14. Stretch daily 15. Water pik, floss, brush, tongue scrape, morning and night 16. Make an effort to drink water 17. Get sunlight when you wake up (UV is low) 18. Protect skin in midday sun 19. Stand up straight 20. See at least one friend once a week 21. Avoid plastic where you can (in all things) 22. Circulate air in rooms 23. When stressed, breathe, learn to calm your body 24. Go to the dentist 25. Avoid sitting for long times 26. Protect your hearing, the world is too loud 27. Alcohol is bad for you 28. Finish coffee before noon 29. Avoid bright lights after sunset 30. If obese, look into a GLP 31. Sleep in a cold room 32. Texting while driving is dangerous 33. Turn off all notifications 34. Limit social media use 35. Don’t smoke anything 36. If you struggle to sleep, read a physical book before bed 37. 1 hour before bed have a calm wind down routine: bath, read, light walk, listen to music 38. The body is a clock and loves routine. Have a daily morning and evening schedule. 39. Avoid long distance travel where you can 40. Baby steps first: incorporate new things slowly 41. Do less… most things don’t work. Bonus points if you get your blood checked. Start here, it will change your life.

2040 and beyond. The concept of a midlife crisis will soon fade. When we will reach LEV (longevity escape velocity) and age reversal technologies become reality, human lifespans will extend far beyond anything we know today. The idea of a 'midpoint' in life will become unclear and even meaningless. As long as people can continuously rejuvenate their bodies, they could remain in a youthful, 20 year old like (perfect health) state for as long as they choose. In that kind of world, age will no longer define stages of life in the way it does now. The future will be amazing, but also deeply alien and strange at the same time. Most concepts we take for granted today, like the one above, will stop making sense. Working to pay bills, the idea of retirement, and even the concept of formal education and its hierarchical consequences. Status itself could shift away from credentials and job titles toward entirely new forms of value. Over time, many of the systems that organize life today may come to seem like temporary phase for below K1 level civilization/s like us today. What we now see as normal and necessary will become outdated, irrelevant, and eventually forgotten.

The Hidden Epigenetic Levers Accelerating and Pausing Human Skin Aging rapamycin.news/t/the-hidden-e…

Interesting article, thanks 🙏 1. Is aging as a treatable disease? 2. Progeria, an accelerated aging disease, has many similarities with natural aging: DNA breaks -> epigenetic noise 'Tis why the lab's working on progeria, too 🚀

The only algorithm that works for hiring: ask the smartest people you know who the smartest people they know are. Intelligence Page Rank

AI drains the moat around knowing. It widens the moat around becoming. Knowing is a snapshot. Becoming is a process. That is the distinction. For a long time, the moat lived in possession of knowledge. Who had the research. Who knew the market. Who had the secret framework. Who could write the code. Who could produce the analysis. Who had the playbook in their head. AI attacks all of that. Once intelligence can be rented, queried, and copied at near-zero marginal cost, stored knowledge stops being rare. The memo can be recreated. The code can be approximated. The framework can be mimicked. The research layer gets flooded. So the moat around knowing drains away. But becoming is different. Becoming means: adapting faster than the environment changes learning in public compounding judgment under pressure integrating tools into a living system building trust while everyone else is still outputting noise turning feedback into evolution AI widens that moat because it gives force multiplication to people and organizations that are already alive, coherent, and directional. A static person gets replaced by AI. A dynamic person gets accelerated by AI. A static company gets commoditized. A becoming company becomes harder to catch because it can sense, decide, ship, and iterate faster than rivals. That is the deeper truth. AI destroys advantage that sits still. AI strengthens advantage that moves. Knowing is: having answers Becoming is: getting better at generating the next answer before the world finishes changing the question That is why so many people are misreading this era. They think the winners will be the people with the most information. Wrong layer. The winners will be the people with the strongest learning loops, clearest taste, fastest adaptation, deepest trust, and best ability to convert machine leverage into real-world movement. In the old world, the moat was the library. In the new world, the moat is the metabolism. How fast can a person absorb signal. How fast can a team update beliefs. How fast can a company turn insight into product, distribution, and cash flow. That is becoming. And that moat widens because AI increases the returns to velocity, coherence, and recursive improvement. Everyone gets access to the same machine. Not everyone becomes more dangerous with it. Some people use AI to output more. Some people use AI to transform how they think, decide, build, and compound. That second category pulls away.

It’s not about junior vs senior, it’s about “good with AI” vs “not good with AI.”

Software engineering changed more in the last 3 months than the preceeding 30 years. Everything about running a software company needs to be rethought from first principles.

How it feels to give a task to Opus 4.6 and Codex 5.3 in parallel to see which one can better blast through 3 months of human work in 5 mins

I really do think we solve aging but its gonna be atleast a decade for the real results to show logistically its gonna be much tougher to reach everyone on the planet, and there will be push back from the legacy humans we are probably gonna solve the mechanisms of aging in the next 3-5 years but implementing it will take much longer stay healthy, stay alive and hopefully you make it

we're only 3 weeks into 2026 and we've got: - grey-market peptides going mainstream - psychedelics in Phase III trials - OpenAI Health - Claude for Healthcare - GLP-1s evolving beyond diabetes/obesity - gene editing expanding in Singapore, China - AI designing proteins in minutes - longevity biomarkers becoming consumer products - DeSci funding real research outside institutions - biohacking shifting from fringe to default forget software, biotech will define this decade.

10 days into 2026: - Terence Tao announces GPT & Aristotle solve Erdős problem autonomously - Linus Torvalds concedes vibe coding is better than hand-coding for his non-kernel project - DHH walks back “AI can’t code” from Lex podcast 6 months later An acceleration is coming the likes of which humanity has never experienced before

Most modern management is coordination work. Middle managers, project managers, program leads, and heads of departments spend most of their time maintaining shared context, resolving ambiguity, aligning across silos, and escalating decisions. When everyone who actually creates value for an organization has a personal horde of autonomous AI agents, all of those managers I just mentioned are cooked. They are obsolete. Executives who ignore this new reality will struggle. Bloated organizations will be relics of the past, with headcount going towards compute vs compensation. Those who anticipate it can reshape leaner organizations around judgment, legitimacy, and direction. Good luck.

ADHD minds are the optimal vibe pilots of agentic fleets

Unpopular opinion - AI-generated code will be of higher quality than 99.9% of human-created code in a very short time frame (< 6 months)

An AI researcher friend told me he’s teaching his 8-year-old to use Claude Code to write PyTorch code. I’m shocked by this kind of Chinese/Indian tiger parenting. But the real signal is: when an 8-year-old can build things that took years of school and training before, “advanced education” becomes obsolete. “Years of experience” now matter much less than taste, curiosity, agency, and the ability to work with AI.

We should be praying for technology acceleration because on the other side, lies immortality.

twitter writing is the cleanest stress test for thinking. it’s powerful for influence & storytelling because the constraints are fucking brutal. you have to be compact, be clear, & be legible. & you only get there if you actually understand the thing that is underneath. ai / llms are just leverage on that skill. they are execution multipliers not idea generators. if there’s no original cadence upstream, the model will just amplify the emptiness. most ppl do not understand this at all.

I'm not joking and this isn't funny. We have been trying to build distributed agent orchestrators at Google since last year. There are various options, not everyone is aligned... I gave Claude Code a description of the problem, it generated what we built last year in an hour.

The moat isn't skill anymore, but willingness to use the new tools A lot of 20-year veterans are about to get lapped by curious beginners The programmers most threatened by AI aren't the ones who can't code. They're the ones who won't stop