This article takes some very different articles and weaves them into one coherent narrative. The fabric stretches a bit thin at points but the article overall succeeds. One is Yann LeCun's argument that after language models we will need 'world models' for reliable AI. "These systems would need to learn through direct interaction with the world, much like humans do." Quite right. Another is Tiera Tanksley's proposal for a critical race algorithmic literacy (CRAL) that leads Carlo Iacono to propose a framework for more ethical AI development, which would combine these. The article also mentions Steve Solomon on environmental concerns and Hartmut Neven on Google's 'Willow' Quantum computing chip, all (I think) from the 2024 Hudson Forum. Image: Insta.
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