Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

At Edison, we are on a mission to leverage AI to prevent or cure all diseases. Today, we are announcing a critical step: our first partnership using our AI scientist, Kosmos, to launch new biotech companies. Many of the most transformative new medicines begin life in biotech companies rather...

31,600 görüntüleme • 2 ay önce •via X (Twitter)

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Today, we’re announcing Kosmos, our newest AI Scientist, available to use now. Users estimate Kosmos does 6 months of work in a single day. One run can read 1,500 papers and write 42,000 lines of code. At least 79% of its findings are reproducible. Kosmos has made 7 discoveries so far, which we are releasing today, in areas ranging from neuroscience to material science and clinical genetics, in collaboration with our academic beta testers. Three of these discoveries reproduced unpublished findings; four are net new, validated contributions to the scientific literature. AI-accelerated science is here. Our core innovation in Kosmos is the use of a structured, continuously-updated world model. As described in our technical report, Kosmos’ world model allows it to process orders of magnitude more information than could fit into the context of even the longest-context language models, allowing it to synthesize more information and pursue coherent goals over longer time horizons than Robin or any of our other prior agents. In this respect, we believe Kosmos is the most compute-intensive language agent released so far in any field, and by far the most capable AI Scientist available today. The use of a persistent world model also enables single Kosmos trajectories to produce highly complex outputs that require multiple significant logical leaps. As with all of our systems, Kosmos is designed with transparency and verifiability in mind: every conclusion in a Kosmos report can be traced through our platform to the specific lines of code or the specific passages in the scientific literature that inspired it, ensuring that Kosmos’ findings are fully auditable at all times. We are also using this opportunity to announce the launch of Edison Scientific, a new commercial spinout of FutureHouse, which will be focused on commercializing our agents and applying them to automate scientific research in drug discovery and beyond. Edison will be taking over management of the FutureHouse platform, where you can access Kosmos alongside our Literature, Molecules, and Precedent agents (previously Crow, Phoenix, and Owl). Edison will continue to offer free tier usage for casual users and academics, while also offering higher rate limits and additional features for users who need them. You can read more about this spinout on our blog, below. A few important notes if you’re going to try Kosmos. Firstly, Kosmos is different from many other AI tools you might have played with, including our other agents. It is more similar to a Deep Research tool than it is to a chatbot: it takes some time to figure out how to prompt it effectively, and we have tried to include guidelines on this to help (see below). It costs $200/run right now (200 credits per run, and $1/credit), with some free tier usage for academics. This is heavily discounted; people who sign up for Founding Subscriptions now can lock in the $1/credit price indefinitely, but the price ultimately will probably be higher. Again, this is less chatbot and more research tool, something you run on high-value targets as needed. Some caveats are also warranted. Firstly, we find that 80% of Kosmos findings are reproducible, which also means 20% are not -- some things it says will be wrong. Also, Kosmos certainly does produce outputs that are the equivalent to several months of human labor, but it also often goes down rabbit holes or chases statistically significant yet scientifically irrelevant findings. We often run Kosmos multiple times on the same objective in order to sample the various research avenues it can take. There are still a bunch of rough edges on the UI and such, which we are working on. Finally, we are aware that the 6 month figure is much greater than estimates by other AI labs, like METR, about the length of tasks that AI Agents can currently perform. You can read discussion about this in our blog post. Huge congratulations to our team that put this together, led by Ludovico Mitchener and Michaela Hinks: Angela Yiu, Benjamin Chang, Sid Narayanan, Edwin Melville-Green, Albert Bou, Arvis Sulovari, Oz Wassie, Jon Laurent. A particular shout out to Michael Skarlinski and his team that rebuilt the platform for this launch, especially Andy Cai Andy Cai, Richard Magness, Remo Storni, Tyler Nadolski Tyler Nadolski, Mayk Caldas Mayk Caldas, Sam Cox Sam Cox and more. This work would not have been possible without significant contributions from academic collaborators Mathieu Bourdenx, Eric Landsness, Dániel Barabási, Nicky Evans, Tonio Buonassisi, Bruna Gomes, Shriya Reddy, Martha Foiani, and Randall Bateman. We also want to thank our numerous supporters, especially Eric Schmidt, who has been a tremendous ally. We will have more to say about our supporters soon!

Sam Rodriques

732,619 görüntüleme • 10 ay önce

👌🏻🔔🙏🏻🤩 This is a brief update from the USA regarding the exciting developments at Kokoon over the past 10 days. Kokoon is incredibly fortunate to have an American holding company Kokoon Global Inc to oversee and launch operations on an unprecedented scale. After years of meticulous planning, we have finalized all details, and our team of architects and engineers is set to complete the project within the next 3 months. This will allow us to unveil a truly remarkable finished project. The timing for Kokoon’s expansion in the USA could not be more perfect. We are currently developing a state-of-the-art sub-clinic in Beverly Hills and a flagship facility in Miami. These two initiatives alone will revolutionize the medical world. With new leadership driving the U.S.A, the enthusiasm from companies, investors, and partners is extraordinary. Their focus, optimism, and commitment to investing heavily in Kokoon’s healthcare vision are inspiring. We are now poised to take the next step by pursuing a direct listing in the USA, supported by top American legal counsel. I’m joined by Clive from the UK (Kokoon’s lead lawyer). Together, we will travel to secure partner agreements, property deals, and other critical arrangements, ensuring everything aligns with our vision. The Weaver initiative—whether symbolizing our innovative approach or a specific leadership effort—underscores our commitment to weaving transformative solutions into healthcare. For the first time in our history, we control the entire timeline. To everyone following Kokoon’s progress, stay tuned for more updates in the coming days, as we have many positive developments to share. Everything is moving in the right direction.

Per Jacob Solli

15,218 görüntüleme • 1 yıl önce

When Adam’s stock price dropped by 92% he borrowed money to buy back $6 billion in stock. That bet made the company more than $60 billion: “If no one's going to buy our shares why don't we just start buying our own shares? The company at the bottom was worth $3.8 billion. And we were generating over a billion dollars of EBITDA. Well in theory we could buy back 20% of the shares of the company just in the next year if we really believed in the path we were on. So we kicked that off. But we did it a little bit differently than what most companies do. Most companies go out and say I'm going to buy shares from the public markets and just take shares back. But you don't know who's on the other side of that trade. On the other hand we knew that we had a cap table where about 50% of the shares were going to sell at some point over the coming years. We had private equity investors that owned roughly 50% of the shares of the company alongside some other founders that were no longer there. So instead of going to the public we went to the shareholders that we knew were going to sell and got them to agree to sell back to us over time. And so for the following 18 months we ended up deploying around $6 billion of buybacks using our own capital and we leveraged some to buy back shares in the company. And over time that ended up creating somewhere in the neighborhood of $50 to $60 billion of actual proceeds from the buyback. It was one of the most successful buybacks in the history of companies.”

David Senra

518,747 görüntüleme • 4 ay önce