#mathematical

15/ The declaration continues [3] "The issues the #mathematical community faces now are similar to issues that other #scientific and #creative professions are facing, and indicate issues that all of humanity might face: how to make sure that, as AI changes the way work is done, we do not lose sight of what that work was meant to achieve in the first place" Clues pile up in other fields, with "reliance on" #genAI tools allegedly degrading "the abilities of physicians and software engineers" [4]

“Large Language Models (LLMs) like ChatGPT are extremely good at some things like #coding, #mathematical problems and generating #text, LeCun says. But he argues that these are well defined and predictable problems. "They [LLMs] basically just accumulate knowledge... They can regurgitate something, you train them to #regurgitate, but they're not particularly smart. They don't have an underlying understanding," he says. In the real world there is a bewildering array of outcomes to any action, which requires a more flexible type of #ArtificialIntelligence.” Not every problem requires a 🔨 #LLM / #YannLaCun / #IngmarPosner