LLMs Consider unrelated details when recommending health-related treatment plans Researchers come across nonclinical details in individual messages — like typos, additional white Room, and colorful language — lessens the precision of the AI product. Go through entire story → Much more information on MIT News homepage →
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“Market fundamentalism and technological innovation fundamentalism could assert you should often go at the maximum pace for know-how,” Acemoglu claims. “I don’t Consider there’s any rule like that in economics. Much more deliberative wondering, In particular to avoid harms and pitfalls, is usually justified.”
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Other observers have prompt that “reallocations” of employees displaced by AI will build further advancement and productivity, beyond Acemoglu’s estimate, although he does not think click here this could issue Significantly.
Down the road, the researchers want to go down this route and Develop eyesight-language styles in addition to the HART architecture. Considering that HART is scalable and generalizable to numerous modalities, Additionally they want to apply it for video technology and audio prediction responsibilities.
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MIT Information Publication Date: March 21, 2025
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“Where by will The brand new duties for humans with generative AI originate from?” asks Acemoglu. “I don’t Assume we know Those people still, and that’s what the issue is. Exactly what are the applications that happen to be seriously heading to change how we do items?”
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