
Machine Learning is not Scientific. To fully Understand AI, we need to descend below first levels of Science, to the Zeroth Level of Epistemology.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 26 | Subscribers | Read | zerothprinciples.substack.com |
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In all of my workshops and most of my posts I end up discussing the differences between Reductionism and Holism. This has been my main message since 2005. Suddenly, but not unexpectedly, this has become critical knowledge.
This my second post on the history of language models. The first one discussed typo.c, created by Prof. Robert Morris, Sr.
I rarely post about my own emotions. But I feel I must provide a glimpse of where we all will be going.
If we examine Large Language Models (LLMs) at the level of Epistemology, we find they are misunderstood in many ways. Starting with the name.
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I am an Experimental AI Epistemologist. I have been researching LLMs since Jan 1, 2001. Not a joke. Before that, I worked on Industrial Strength 20th Century AI for decades.
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