2192.eth
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2192.eth
@2192_eth
I like collecting imaginary internet money as a shadowy super coder ……. https://t.co/Dx4CgcuqsZ


A major new paper reframes aging as a systems failure of epigenetic information. Not wear and tear but a software problem. This is what the Information Theory of Aging predicts and, if correct, means aging is reversible. Let's dive in... 🧵


The first human age-reversal trial is officially happening. But before the FDA cleared it, Harvard professor David Sinclair had to pull off a mice experiment most scientists thought was impossible: "These mice had their optic nerve regenerated. We were able to show that using [the information theory of aging] method we could cure blindness in animal for the first time." Since then, he also discovered you could treat and reverse diseases like Alzheimer's, multiple sclerosis, ALS, kidney disease and liver disease in mice too: “It's not just the eye that can get reversed and cured of diseases. It's seemingly every part of the body.” It's what he calls "a universal reset of the body." He confirmed his method also worked in monkeys. Now humans are next. The FDA just cleared the first age-reversal trial. Life Biosciences raised $80 million to make it happen. As he put it: "The eye is just the beginning. We believe we can treat every tissue—a whole body reset."

David Sinclair said: "You can reverse aging by 75% in 6 weeks… by reinstalling the "software" of the body so that it's young again." This idea sprouted when he proved in his first experiment that you can accelerate aging in mice: "We took two mice born on the same day—same age, same genetics. We 'scratched the CD' of one mouse, corrupting its software and accelerating its aging. The result was dramatic. One looked far older than its brother." He believed if you can give aging, you can also take it away. Tomorrow, I'll share his experiment on how he reversed aging in mice (and then Monkeys). — @davidasinclair





JustDarioCigarTime - Podcast Episode 68 ⚠️ IS CHINA CLOSE TO TRIGGERING THE ULTIMATE SILVER SQUEEZE? 🎙️ - New SHFE Rule Impacting Silver Futures Settlement - Extreme Physical Shortage at the SHFE - Chinese Rush to Source Physical Silver by Mid-April youtu.be/gFrdhcanmvo?is…









The CEO of OpenAI just compared his own technology to a law of physics and not in the way you think. He compared deep learning to finding a new element on the periodic table. Sam Altman stood on stage in India and said the core ideas that make AI models so capable will eventually be simplified and well known. And understood the same way we understand gravity or electromagnetism today. He pointed to the scaling laws OpenAI published around seven years ago as the moment everything changed. There was a measurable, almost perfect correlation between the resources poured into a model and the intelligence that came out of it. He called that discovery hair raising, the realization that intelligence could be manufactured on a predictable curve, like a law of physics. And then he said the part that matters most. "Eventually this recipe will be well understood as a scientific principle." That means the hundred billion dollar moats being built right now around proprietary models are sitting on top of a truth that will eventually belong to everyone. You cannot patent the laws of physics or trademark a fundamental property of nature. When the science simplifies and Altman says it will open-source teams, sovereign governments and garage startups will all be cooking from the same playbook. At the same event he told India's prime minister that AI had gone from doing high school math to producing research level mathematics and novel results in theoretical physics in a single year. The technology racing toward artificial general intelligence is not a trade secret guarded inside a San Francisco vault. It is a discovery about the universe itself and discoveries, once made, spread. The question is no longer who will build the best AI. The question is what happens when everyone can.















