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Wednesday

  5. Platformer

    Does intelligence need a hard cap?

    At The Curve conference held in Berkeley, several speakers proposed that limits should be considered on the level of intelligence large language models can reach; depending on how strict the limits are, this could amount to a de facto ban on superintelligence. Anthropic CEO Dario Amodei has called for "some kind of speed limit" on recursive self-improvement, but any such limit would require enforcement capabilities that do not currently exist.

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    #ai-news#Industry news#Safety / alignment#OpenAI
  12. The Verge AI

    Tech companies are redefining "recording": Does AI hardware that doesn't save audio or video still count as recording?

    Apple has been reported to be developing a smart home camera that does not save video recordings, instead using AI to convert visual data into text snippets describing conditions in the home, and supporting facial recognition; the approach is similar to the rumored camera for future AirPods. In the Audio Intelligence of Apple Watch Series 12 and Apple Watch Ultra 4, Live Rewind can generate a transcript of the past 15 seconds, and Siri Recap can generate a summary of the day's conversations; Apple says these features do not save any audio. Sandeep Waraich, Google's senior director of wearables, also said that the company is considering a solution in which smart glasses cameras do not record, using AI only to process visual data and not saving clips.

    Apple has been reported to be developing a smart home camera that does not save video recordings, instead using AI to convert visual data into text snippets describing conditions in the home, and supporting facial recognition; the approach is similar to the rumored camera for future AirPods. In the Audio Intelligence of Apple Watch Series 12 and Apple Watch Ultra 4, Live Rewind can generate a transcript of the past 15 seconds, and Siri Recap can generate a summary of the day's conversations; App

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    #tech-media#English text is being prepared.#English text is being prepared.#Multimodal

Tuesday

  3. 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.