Google says YouTube’s terms of service grant a “broad license” for AI models to be trained on music uploaded to the platform in response to a lawsuit.
Did anyone else submit to ACM ICMI 2026? The reviews were recently released, and this is my first time submitting to ICMI, so I'm not very familiar with the acceptance patterns. I submitted a long paper and received the following overall ratings: 4 (Probably Accept), 3 (Borderline), 4 (Probably Accept) The reviewer with the highest stated expertise recommended acceptance, while the borderline reviewer had some concerns about soundness but still considered it a nice contribution. For those who have submitted to or reviewed for ICMI before, how would you interpret these scores? Is a 4/3/4 generally considered competitive after rebuttal, or is it still a long shot? Would appreciate any insights from past authors or reviewers. submitted by /u/kanishq95 [link] [Kommentare]
We propose inverse rubric optimization (IRO): tasks where an agent must learn the preferences of a black-box judge under a label budget. IRO tasks induce rich agent behavior and smooth scaling, making them a useful testbed for agent science.
Introduction
Ich dachte mir im Zuge der ganzen "Mehrzweckeier" Geschichte, wäre es doch fatal wenn sich eine Redewendung etablieren würde, welche tatsächlich in der Jugendsprache Verwendung findet. So etwas wie "Leckt Merz Eier?" als Synonym für "Selbstverständlich". Also z.B A: "Gehst du auch zu der Party später?" B: "Leckt Merz Eier? (Klar gehe ich)" Eine Solche Entwicklung würde ich selbstverständlich nicht begrüßen, darauf wollte ich nur einmal hinweisen. (Bitte Merz verklag mich nicht). submitted by /u/Due_Potential3553 [link] [Kommentare]
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Andrew Barry of Generalist compares earlier robot behaviors, including Spot opening doors, with the newer learned-model approach being used for dexterous manipulation. The older approach relied on hard-coded controllers for different parts of a task. The newer approach is aimed at giving the model a wider range of usable behavior when it sees something outside the exact training case. Barry describes this as “improvisational intelligence,” where the robot encounters a new variation and still takes a reasonable action instead of immediately failing. He also connects this to how humans complete manipulation tasks. A person does not need to make every pick or motion perfectly on the first try. They can miss, adjust, regrasp, and continue the task. submitted by /u/Responsible-Grass452 [link] [Kommentare]