TL;DR -- After watching the reactions, responses, choices and ramifications of choices over the past two years, we will step up to what we had determined when we first saw GenAI/LLM.
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We have had a lot of posts on GenAI/LMM over the past two years. Looking at papers, comments and such, in the environment of discussions across the board, there seems to be several patterns emerging depicting the evolution and adaptation in response to the phenomena.
Looking at this huge variety of opinion can be fun and sometimes interesting, but it also is a huge time waster. After all, GenAI/LLM are known wasters of energy (the real stuff that comes with a cost of using up natural resources). We need more than that.
But, Kant was left out but can be reintroduced while we expand our series related to these themes. Earlier, we looked at one translator, Paul Carus, who came to the U.S. (a common theme for us in all endeavors, as New England has (and has had) a long reach.
Follow our series as we expand concurrently along the themes of meaning in the senses of man/machine and of being: Taming GenAI/LLM.
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Addendum: Rather than add in via "Remarks", here are three posts from today that represent changes in the general knowledge plus decisions related to the future.
- ADVANCING ARTIFICIAL INTELLIGENCE EDUCATION FOR AMERICAN YOUTH
- How SAM’s Conceptual Layer Can End Hallucinations
- Here’s How Big the AI Revolution Really Is, in Four Charts
Remarks: Modified: 04/24/2025
04/24/2025 --
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