NASA and IBM have released an open-source AI model trained on a large collection of lunar observations to help scientists analyze the Moon at scale. "The NASA-IBM Lunar Foundation Model gives scientists a foundation to explore the Moon at scale, connecting observations across instruments, revealing patterns that are difficult to see in isolation, and providing an open platform the global research community can build on," said IBM director of research for Europe, Juan Bernabe-Moreno. The Register reports: It is claimed as the first AI model to integrate observations captured in a range of modalities (data formats), and at different viewing angles and spatial scales. Instead of sifting through maps and images by hand or using low resolution machine learning models, scientists can use this to analyze geographic features, the pair say. In particular, NASA and IBM hope researchers will be able to discover previously unidentified lunar ice deposits, analyze volcanic features called Irregular Mare Patches, and identify and classify craters. Lunar ice indicates the presence of water and oxygen, which may be useful for future manned missions. It is found in permanently shadowed regions, which are among the most difficult areas to observe. The NASA-IBM model combines multimodal and multi-resolution observations to better predict where ice may be present on the lunar surface. Alongside the model, IBM and NASA scientists compiled an open-source lunar dataset from over 30 spatially-aligned layers, using data from nine instruments across four missions. It combines tens of thousands of images and maps showing various geophysical properties of the lunar surface.

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An anonymous reader quotes a report from The New York Times: The chief executive of Anthropic called for a global slowdown of artificial intelligence development in a 3,800-word essay on Saturday, just days after one of the company's employees quit over concerns about the safety of the technology. Dario Amodei, who co-founded Anthropic to focus on securely and carefully building A.I., wrote that while he believed the technology could bring many benefits, it was advancing at too quick a pace for researchers to continue safely. "Over the last few months, I have become convinced that fully addressing the risks requires even more prudence -- not just investing in risk prevention, but pacing the rate of capabilities advancement so that risk prevention has time to keep up," Mr. Amodei said. "We must slow the pace at which we improve the capabilities of A.I. models. Progress will still seem fast, and we must make wise use of the time we gain." [...] "Left unchecked, it could outrun our ability to understand and control these systems, and so must be pursued very carefully, if at all," Mr. Amodei said. [...] In his essay on Saturday, Mr. Amodei suggested actions that the industry might take to slow down the pace of development. Mr. Amodei said all A.I. labs could agree to third-party technology assessments from "embedded evaluators," or outside specialists who can verify best safety practices across companies. He also suggested that countries with democratic governance systems coordinate to create safety standards, which could take the form of regulatory action. He added that it would probably require a global effort working with other nations, including authoritarian ones, to properly coordinate a slowdown. Mr. Amodei stressed in his essay that he still finds A.I. capable of bringing "incredible benefits" to humanity, including potentially curing diseases and accelerating economic growth. But even so, Mr. Amodei said the risks of A.I. were too great to not proceed with extreme caution. "The measures I propose to advance the frontier at a safe pace will not be easy," Mr. Amodei wrote. "But I believe we owe it to humanity to try." Amodei's essay comes just hours after Bloomberg reported that Sam Altman told OpenAI employees the company is open to slowing the pace of AI development amid similar concerns.

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