Daniela Vincenti

A deal is a deal, and the EU honours its commitments. I welcome the agreement reached by the European Parliament and the Council on reducing tariffs for US industrial exports to the EU. This means we will soon deliver on our part of the EU-US Joint Statement, as promised. I now call on the co-legislators to move swiftly and finalise the process. Together, we can ensure stable, predictable, balanced, and mutually beneficial transatlantic trade.

Fruitful visit today for our delegation in 🇨🇾 at the @CyprusInstitute where they learnt more about #energy, #water & research. These visits aim to better understand the realities & challenges 🇪🇺 companies & local actors face We will keep representing #BusinessVoices in the EU 🎯

Cyprus is exploring how to use surplus solar #energy for desalination — turning clean power into water security. It faces a double challenge: stable access to both water & energy. This shows why innovation is central to decarbonisation and resilience. At @CyprusInstitute today.

Gloomy outlook for Europe

The biggest driver pushing the EU into new trade negotiations with third countries? Mr. Trump. While others shift unpredictably, Europe has so far remained stable and reliable. Stated at today’s @employers_EESC #trade debate with the EC, @BusinessEurope and @Eurochambres .

Automating Scientific Research | @ludomitch

✍️Alimentare l’Europa: il nucleare ha bisogno di elementi propulsori, non di strozzature canaleenergia.com/rubriche/scena… via @canaleenergia

Bellissime parole Presidente #Mattarella

Mattarella: Siamo apprezzati in tutto il mondo per i nostri stili di vita, per la bellezza dei nostri territori, per i tesori artistici che custodiamo. Per la cultura del cibo e del vino, che diventa patrimonio internazionale

Mattarella: La Repubblica è uno spartiacque nella nostra storia. Non uno Stato che sovrasta i cittadini ma uno Stato che riconosce i diritti inviolabili, la libertà delle persone, le autonomie della comunità

Mattarella: Fondamentale alla crescita della identità nazionale è stato - e rimane - il contributo della cultura, dell’arte, del cinema, della letteratura, della musica

La Commissione ha stabilito che l'Italia è sotto pressione migratoria e che gli altri Stati devono aiutarla Orban ha già detto NO, idem il presidente polacco (espressione dei conservatori, alleati di FDI) e i Patrioti alleati della Lega Amici amici, poi ti rubano la bici

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!

A strong enforcement policy can bring the #SingleMarket to the next level. Our member and rapporteur Isabel Yglesias explains how to @audevdh @PoliticoEurope Want to know more? 👇 link.europa.eu/tvYkxG #Act4EUCompetitiveness @EESC_INT

Europe must safeguard its independence by managing dependencies. Only by restoring strategic balance can Europe prevent these dependencies from leading to cycles of coercion.

#EUCompetitiveness is on trial: 🇪🇺 must accelerate the pace for transformation. Pres @vonderleyen in her #SOTEU has a unique chance to set the tone for the years ahead. 🇪🇺 employers & entrepreneurs are listening for urgency🎯 ➡️ My Op-Ed for @AgencEurope shorturl.at/sFyYw

We know that it is important to be mindful about what we put in our bodies. Are we as careful about what goes into our heads? Watch the whole thing: bit.ly/YNH-CMM

The EU has the largest network of trade agreements in the world. While the United States is - and will remain - an important trading partner, Europe should deepen its trade ties with other regions.

Visiting #Siliconvalley you get a sense of the EUvsUS disadvantage portrayed in regular graphs like this one

Today, we are launching the first publicly available AI Scientist, via the FutureHouse Platform. Our AI Scientist agents can perform a wide variety of scientific tasks better than humans. By chaining them together, we've already started to discover new biology really fast. With the platform, we are bringing these capabilities to the wider community. Watch our long-form video, in the comments below, to learn more about how the platform works and how you can use it to make new discoveries, and go to our website or see the comments below to access the platform. We are releasing three superhuman AI Scientist agents today, each with their own specialization: A general-purpose agent (Crow); An agent to automate literature reviews (Falcon); and An agent to answer the question “Has anyone done X before” (Owl). We are also releasing an experimental agent, Phoenix, that has access to a wide variety of tools for planning experiments in chemistry. More on that below. The three literature search agents (Crow, Falcon, and Owl) have benchmarked superhuman performance. They also have access to a large corpus of full scientific texts, which means that you can ask them more detailed questions about experimental protocols and study limitations that general-purpose web search agents, which usually only have access to abstracts, might miss. Our agents also use a variety of factors to distinguish source quality, so that they don’t end up relying on low-quality papers or pop-science sources. Finally, and critically, we have an API, which is intended to allow researchers to integrate our agents into their workflows. Phoenix is an experimental project we put together recently just to demonstrate what can happen if you give the agents access to lots of scientific tools. It is not better than humans at planning experiments yet, and it makes a lot more mistakes than Crow, Falcon, or Owl. We want to see all the ways you can break it! The agents we are releasing today cannot yet do all (or even most!) aspects of scientific research autonomously. However, as we show in the video, you can already use them to generate and evaluate new hypotheses and plan new experiments way faster than before. Internally, we also have dedicated agents for data analysis, hypothesis generation, protein engineering, and more, and we plan to launch these on the platform in the coming months as well. Within a year or two, it is easy to imagine that the vast majority of desk work that scientists do today will be accelerated with the help of AI agents like the ones we are releasing today. The platform is currently free-to-use. Over time, depending on how people use it, we may implement pricing plans. If you want higher rate limits, especially for research projects, get in touch. @m_skarlinski, @andrewwhite01, @_tnadolski, Remo Storni, @semajazarb, @ludomitch, @MichaelaThinks, as well as @jasonjoyride and his team for making such fantastic videos of us!