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Google’s DeepMind has unveiled a groundbreaking AI training method called JEST, which significantly reduces energy consumption and training time. Meanwhile, Chinese tech giants like SenseTime and Alibaba are showcasing their own powerful AI models, claiming to outperform even OpenAI’s GPT-4 in certain areas. The race for AI dominance is heating up, with advancements in efficient training and multimodal learning taking center stage.

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The Information-Theoretic Interpretation of Quantum Mechanics from (Bub & Pitowsky, 2010) has been criticized in two ways related to the ontological picture it supplies. This paper explores whether Ontic Structural Realism can supplement the metaphysics of ITIQM in a way that would satisfy its critics. The many similarities between the two views are detailed. And it is argued that the ITIQM view ca. 2010 does seem to be compatible with OSR, but as the view evolved in Bub’s Bananaworld (2016), its fundamental metaphysical commitments shifted, making it a less clean fit with OSR.

AI-powered robots are popping up across Silicon Valley. If some industry experts are right, they could help solve a global labor shortage.

Companies like Tesla, Amazon, Microsoft and Nvidia have plowed billions of dollars into what are known as “humanoid” robots. These machines typically stand on two legs, and are designed to perform tasks meant for people.