与「medicine」相关的搜索结果

Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR. We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use. Read more:

Yesterday, on World Alzheimer’s Day, we were reminded of the importance of nutrition in supporting brain health and those impacted by Alzheimer’s disease. At Planet Harvest, we know that food is medicine. I’m proud to partner with @EliLillyandCo and @thrive to deliver 13,500 fresh food boxes—more than 200,000 pounds of nutritious fruits and vegetables—alongside brain health resources across 10 U.S. cities. Together with our local partners, we’re turning a shared commitment to healthier communities into meaningful, tangible support for thousands of families. I hope this effort inspires more partnerships that expand access to the resources people need to live healthier lives. 💪🥦🥕🍅🥒🍊🥑🍋📦 @PlanetHarvest1

📍Chinese Terms Unlocked: China's New "New Three" #NewThree# #intelligence# #robotic# #medicine# @CNYouthDaily @salahzhang @AmbassadeChine @consulat_de @ChenPingMFA @CGMeifangZhang @zhang_heqing @AmbXieFeng @xuejianosaka @ChineseEmbinAus @ChineseEmbinUK @EmbChina_RS @chinacgedi

Elon basically predicted the next revolution in medicine: “You can effectively think of the future of medicine as being digital” Much of traditional drug discovery has involved finding or screening molecules, testing them, and figuring out what they can do Synthetic RNA starts changing that model From discovering drugs by accident → programming treatments like software If we can understand exactly what biological instructions need to be written into RNA, medicine increasingly becomes something we can design for a specific problem And once we know what to program into synthetic RNA: “You can basically, cure almost anything” Medicine is becoming programmable

David Morens just pleaded guilty. Fauci’s senior advisor. The man who sat at his right hand for years. He used a secret Gmail account to hide official communications from the American people. He destroyed and concealed federal records to evade FOIA. He worked to protect the grants that flowed into Wuhan and the narrative that COVID could not have come from the lab his agency funded. This was not a clerical error. This was a deliberate cover-up while the country was locked down, censored, injected, and told to “trust the science.” Careers were destroyed. Early treatments were suppressed. Children lost years of their childhoods. Millions suffered. We stood on the steps of the Supreme Court in 2020 and told the truth. They censored us. They called us dangerous. They were the ones deleting the evidence. One guilty plea is not enough. The house of cards is still standing as long as the man at the top remains untouched. Accountability is not optional. It is the only path back to medicine and a free country.

2/2 Second, on the messaging around AI.  I do not agree that my messaging has been disproportionately negative.  In fact it has been about equally balanced between risks and benefits: I’ve written one major essay about each, and even in interviews where I discuss the risks, I make sure to frequently mention the incredible benefits as well as proposing possible solutions to the risks (short clips from my interviews that end up on social media tend to be disproportionately negative, as that gets clicks).  In fact, I wrote Machines of Loving Grace because I didn’t feel the AI industry was painting an inspiring enough picture of how the technology could radically transform the world for the better.  The bulk of the essay is devoted to refuting skepticism of AI’s potential in health and biology, and showing why I think it will actually be possible to cure most human disease in ~5-10 years, as crazy as it may sound to ordinary people and frankly to biologists as well (I used to be one!).  And, if you read my most recent essay (Policy on the AI Exponential), I discuss concrete proposals for how to streamline the FDA process to make sure the deluge of AI-accelerated drugs isn’t slowed down by the regulatory process.  I feel the urgency here: I lost my father to Hepatitis C only a few years before the development of direct-acting antivirals (sofosbuvir), which cure 95% of patients and probably would have cured him. I do agree that the public has a negative view of AI (and that this is a big problem), but I don’t think it is primarily caused by me or any other AI leader warning about AI’s risks.  I think it is fundamentally a crisis of trust.  I think that ordinary people don’t trust companies, governments, or the tech industry and always suspect that we are cooking up some new way to screw them over.  The causes of this go back decades and AI is just the latest iteration of it.  I don’t think that a glitzy marketing campaign with a positive spin (which some have advocated that Anthropic do) is the way to win back that trust — at this point, saying that AI will cure cancer is more a cliche than it is inspiring, and most people think it is deceptive.  The thing that will work is *actually curing cancer*.  I think by far the most accurate criticism of AI companies including Anthropic is that we haven’t yet delivered on our big promises to benefit the world.  That is totally on us, and I think it’s the criticism you should be making, instead of all this stuff about messaging and marketing. We are however doing our best to fix this: Anthropic is ramping up its efforts very quickly in biology and medicine, and we hope to have incredible results in the coming years and some early glimmers in the coming months.  When we’ve actually accomplished something real, the whole world will hear about it, as loudly as possible, you have my word on that.  But until then I don’t want to make empty promises, and in the meantime I feel compelled to speak honestly about the very real risks of AI and how to address them.  Honesty is the right thing on the merits, and in terms of public credibility and trust it is no worse than, and may in fact be better than, an approach that ignores or distracts from risks which people instinctively understand are real.

We’re updating Claude Fable 5’s biology safeguards to reduce false positives. In our testing, this update reduced biology-related fallbacks by about 85% across our product surfaces. Fable can now assist on a wider range of everyday health and educational questions. We believe the biggest positive impacts of AI will be in biology and medicine, and we’re committed to putting frontier intelligence safely into the hands of as many researchers as possible. Fable will continue to fallback to Opus 5 for requests we consider dual-use—including virology, toxicology, and molecular design—so it isn't yet usable for professional biology research and drug development. We're committed to closing that gap through trusted access pathways for frontier biology capabilities.

For students majoring in biology/medicine, or anyone who likes biology, you can take a look. It feels very professional and really makes you feel like you're learning something.