FutureHouse, a nonprofit recently funded by Google’s Eric Schmidt, just made a big bet on the future. They hope to have a fully autonomous “AI scientist” in operation within 10 years. The organization recently launched its first major product: a platform and API that provides AI-powered tools tailored to support scientific endeavors.
The newly available tools—Crow, Falcon, Owl, and Phoenix—are intended to improve the scientific work done per unit effort. This announcement is made on the heels of growing recognition within the tech industry of AI’s power to expedite scientific discovery. Notably, the CEOs of prominent AI companies such as OpenAI and Anthropic have emphasized that AI could significantly expedite advancements in fields like medicine.
FutureHouse’s tools are on a mission to inspire researchers by giving them easy access to 10+ million open-access high-quality papers. Further, they provide highly specialized scientific tools that supercharge the research process. According to FutureHouse, “Unlike other AIs, FutureHouse’s have access to a vast corpus of high-quality open-access papers and specialized scientific tools.”
Nevertheless, for all these advancements, FutureHouse has not yet produced any notable scientific breakthroughs or original scientific discoveries through the use of its AI systems. A long time resident of Manhattan, the smart and savvy head of the organization is Along with their partner, a music therapist, they attend to the rhythms of their shared life.
FutureHouse is excited to announce our new product! In addition, they are bringing TC Sessions AI to beautiful Berkeley, California on June 5 — don’t miss it! This event will provide an important opportunity for leading researchers, practitioners and AI enthusiasts to inform and guide the future implementation of AI in scientific research.
Google deserves serious credit for how far they’ve pushed it. This year, it used its AI system GNoME to help synthesize 40 new materials. Additionally, Google announced a different AI to help scientists generate hypotheses and experimental research designs. But early returns from a handful of federally-funded, science-focused AI systems have been met with lackluster results.