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Wednesday

Tuesday

  1. The Decoder

    Researchers extend LeCun's JEPA into a general-purpose world model spanning physics to biology

    PhAI Labs, together with Stanford, Oxford, and Princeton, proposed JEPA-Anything, which splits JEPA's single prediction into multiple specialized prediction modules and lets each module differentiate into distinct roles during training, thereby covering seven domains—including physics, robotics, weather, single-cell, and clinical—with a single architecture. In a simplified Pong environment, prediction error dropped 35%, and on unseen intervention combinations it dropped 13%; on the Burgers equation benchmark the error was nearly halved, but after 50 steps the advantage shrank to about 3%; in simulated walking-robot planning, it won two of three environments. The team also screened biological data to identify a candidate liver cancer regimen combining IL-18 with CD73 blockade, and tested it in organoids, patient tissue, and mice; the paper also notes that this does not yet show it can become a therapy, and the code and models have been made public.

    PhAI Labs, together with Stanford, Oxford, and Princeton, proposed JEPA-Anything, which splits JEPA's single prediction into multiple specialized prediction modules and lets each module differentiate into distinct roles during training, thereby covering seven domains—including physics, robotics, weather, single-cell, and clinical—with a single architecture. In a simplified Pong environment, prediction error dropped 35%, and on unseen intervention combinations it dropped 13%; on the Burgers equat

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    #ai-vertical#Papers/Research#Multimodal#English text is being prepared.

Monday

  3. ScienceNet

    AI as a "research partner"—are you really at ease with it?

    Anhui University of Finance and Economics reported an academic misconduct case, determining that the author's "mistaken belief" in AI search results constituted improper use of AI and penalizing the responsible parties. Multiple researchers have pointed out that AI can complete closed-loop processes such as literature review and experimental planning, but cannot independently pose original questions, and will generate seemingly plausible yet unverifiable hypotheses and fake citations. An arXiv review of 2.5 million papers and 111 million references shows that in 2025 alone, the four major platforms contained nearly 150,000 fabricated references generated by AI.

    Anhui University of Finance and Economics reported an academic misconduct case, determining that the author's "mistaken belief" in AI search results constituted improper use of AI and penalizing the responsible parties. Multiple researchers have pointed out that AI can complete closed-loop processes such as literature review and experimental planning, but cannot independently pose original questions, and will generate seemingly plausible yet unverifiable hypotheses and fake citations. An arXiv r

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    #science#English text is being prepared.#Agents#English text is being prepared.

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