Floris Barthel

@FurnariLab Remarkable! Congrats Franks & team

Incredible work by grad students Brett Taylor and Weixiu (Jenny) Dong showing order within the chaos of GBM heterogeneity. Check out biorxiv.org/content/10.648… for details!

Proud to be involved with this research, led by @GregNgoHP How Chaotic Chromosome Mutations Arise | Technology Networks technologynetworks.com/genomics/news/…

@SGRodriques still no institutional credits for tgen.org @TGenResearch

For people posting in this list, check back tomorrow -- we are working on getting you in.

This issue is now fixed for .edu users, and users at a bunch of .org research institutes should also have free tier access. If there are research institutes we missed (and I think there are many), please comment here and we will add them. x.com/SGRodriques/st…

@SGRodriques I signed in with my institutional e-mail but do not see any academic use. Is there somewhere to sign up for this?

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 Three of these discoveries reproduced unpublished findings; four are net new, validated contributions to the scientific literature.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 @ludomitch and @michaelathinks: Angela Yiu, @benjamin0chang, @sidn137, Edwin Melville-Green, Albert Bou, @arvissulovari, Oz Wassie, @jonmlaurent. A particular shout out to @m_skarlinski and his team that rebuilt the platform for this launch, especially Andy Cai @notAndyCai, Richard Magness, Remo Storni, Tyler Nadolski @_tnadolski, Mayk Caldas @maykcaldas, Sam Cox @samcox822 and more. This work would not have been possible without significant contributions from academic collaborators @mathieubourdenx, @EricLandsness, @bdanubius, @physicistnevans, Tonio Buonassisi, @BGomes_1905, Shriya Reddy, @marthafoiani, and @RandallBateman3. We also want to thank our numerous supporters, especially @ericschmidt, who has been a tremendous ally. We will have more to say about our supporters soon!

@GiuntaLab Have fun!!

Giunta Lab on the go ➡️ heading to our first long-due lab retreat in 5 years from the start --- Excited! 😊

Congratulations to the authors on this terrific piece of work! Read the original work here: academic.oup.com/neuro-oncology…

I had the opportunity to write an editorial for a piece in Neuro-Oncology (@NeuroOnc ) executing a genomic analysis on perhaps the largest cohort of extracranial metastases of adult gliomas to date. bit.ly/494Pz8s

Why does the telomere interact with these distant repeats? We speculate that this is key for maintaining nuclear organization and may involve nuclear orphan receptors. Many questions remain. Read the paper to dive into the data 👇 #TelomereC #Genomics #Chromatin #Epigenetics

We validated these contacts with classic 3C/PCR and confirmed the 3D proximity using Southern Blotting and stunning 3D FISH data, proving these are real, higher-order chromatin structures.

Excited to share our preprint (3rd of 2025) on the 3D telomeric interactome, a project that started with a K99 in 2018. Thanks to @YA_Chen_PhD, first postdoc in our lab and first author who worked tirelessly to realize this dream. bit.ly/3W3wuMk

Happy to get this one out at last. Might have to do a little thread on this later.

Massive credit to the brilliant PhD student @SharvariMankame, for leading this work. You can dive deeper into the science with our full thread on the other platform. #Glioblastoma #cfDNA #TGen #Research

Excited to share our new preprint: "Cell-Free DNA Sequencing Uncovers the Longitudinal Consequences of Temozolomide Treatment and Host Co-Culture in Glioblastoma"! doi.org/10.1101/2025.0…

Two weeks ago we shared our lab's first manuscript on bioRxiv: biorxiv.org/content/10.110… We performed diploid genome assembly to fully resolve the telomeres, centromeres and numerous other repeats of the BJ and IMR-90 fibroblast cell lines. Please get in touch with feedback!

I roughly calculated the state-level economic impact of withholding NIH grants in terms of jobs lost per day. For Missouri it's 79--553 jobs a week that this drags on. Data: docs.google.com/spreadsheets/d… How to contact your representatives with this information: usa.gov/elected-offici…