Post B450sm1la98FzFfL3g by realn2s@infosec.exchange
 (DIR) More posts by realn2s@infosec.exchange
 (DIR) Post #B450TRgC690fdhUwSm by Ruth_Mottram@fediscience.org
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       Machine Learning techniques are upending multiple scientific fields. Operational 5-day forecasting of air quality in 1 minute in this paper from Chinese researchers.This is awesome work with very clear public health implications. And a very good example of how we need to get over LLM scepticism when people start talking about #AI tools https://www.nature.com/articles/s41586-026-10234-y
       
 (DIR) Post #B450TS9yJQpT83QisS by precariousmind@neopaquita.es
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       @Ruth_Mottram this article does not consider LLM, as far as I understand.
       
 (DIR) Post #B450sm1la98FzFfL3g by realn2s@infosec.exchange
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       @precariousmind @Ruth_Mottram 👆🏻 And that is another problem!LLMs and generative "AI" are so prevailant that other useful machine learning technics get completely overshadowed and often starved of resource.So I would change the central declaration.We need to get over the LLM (for everything) hype and get back to use and fund different machine learning ("AI") tools
       
 (DIR) Post #B454WonV0EBg1VmL5c by precariousmind@neopaquita.es
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       @realn2s @Ruth_Mottram that is the point.Besides many other negative points, LLM/genAI enables Silicon Valley evil companies to achieve evil purposes quicker. At the end of the day, they enhance personal data collection, surveillance, and (just seen with Anthropic) military use.
       
 (DIR) Post #B4BsUh8SgCMWL0WYnw by Ruth_Mottram@fediscience.org
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       @precariousmind @realn2s This was exactly my point! And probably why we need to start regularly calling the chatbots LLMs rather than "AI"
       
 (DIR) Post #B4BsUhT1RkoDMm8yqu by precariousmind@neopaquita.es
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       @Ruth_Mottram @realn2s (late response) generative AI (genAI/GAI) are also more precise (if we accept we can call that "AI").