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Meta AI researchers partnered with mathematicians to use Muse Spark 1.1/1.2 in Thinking Mode to tackle open research problems, releasing six papers — five of which present solutions to previously open mathematical questions. The collaborations followed strict attribution and human-review principles, with acknowledgment of independent concurrent solutions from other teams.
A call for collaborators to research the verification of AI agent actions, focusing on ensuring intended state changes through authorized paths without unintended side effects.
OpenAI is collaborating with an independent advisory group of mathematicians to guide the responsible review and communication of emerging AI results in mathematics, ensuring academic standards and public transparency.
The article argues that AI leaders' claims of slowing down are not credible and urges companies to accelerate and publicly share AI safety research.
The essay explores how AI technologies like Waymo remove social friction, which may reduce collaboration in research by making isolation more convenient, highlighting trade-offs in frictionless advancements.
This position paper argues that AI agents in scientific teams should be studied as human-agent systems to enhance collaboration and mitigate risks such as reduced diversity in scientific inquiry.
OpenAI and the U.S. Department of Energy have signed a memorandum of understanding to collaborate on AI and advanced computing initiatives, including the Genesis Mission, aiming to accelerate scientific discovery through frontier AI models deployed in real research environments.
Anthropic is inviting life sciences researchers to apply as guest investigators, collaborating with its team over 8-12 weeks using Claude on problems in biology, drug discovery, and clinical science, with free model access and open-source outputs.