Category: All Languages

“LLM wrapper programs” cannot do perfect mathematics” unless they use exact compiled algorithms

If you are doing it, then calculate the cost for just over 5 Billion humans using the Internet to have access to ALL mathematics. And you should quickly find that LLM statistical indexing in grossly inefficient, at that scale, compared to storing symbolic mathematics, its operations, and very very precise answers as data. ChatGPT always
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Next generation true AI researchers may get it right – for all humans, not just a few

John Hewitt @johnhewtt  Ruth-Ann’s great work building a Jamaican Patois Natural Language Inference dataset was picked up by Vox as part of its video “Why AI doesn’t speak every language.” Happy to see Ruth-Ann’s work (and disparities in NLP across languages) get this general audience coverage. x.com/ruthstrong_/st… Ruth-Ann Armstrong  @ruthstrong_ Check out this Vox video
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Do not trust company announcements related to the abilities and impact of their “AI” products.

Amazon Web Services @awscloud Amazon Bedrock fuels ARIA’s capabilities. This #generativeAI virtual assistant from @BrainBoxAi reduces energy use by up to 25% & cuts carbon emissions by 40%. Learn more: https://go.aws/3UcFixR #AWS #EarthDay  Replying to @awscloud and @BrainBoxAi   A creative human used that tool, focused the discussion, kept the “AI” on track and helped
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Sites, knowledge, and topics are taken over by a few, and the world suffers

Be careful to distinguish “true intelligent algorithms” that can be verified, from the many current hand written and human maintained “LLM shell” programs of groups wrapping LLM generated sentences. These are NOT true AIs by any means, and probably should not be called “AIs” at all. They are statistical sentence generators, and are severely limited
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