Some notes on AI/ML

TL;DR -- GenAI/LLM has been on the scene for over three years. Lots has happened which we have participated in and watched. Things are getting interesting on all of the sides to the story. This post stops and posts a few links related to using Spinoza's thoughts to ponder this modern puzzle. 

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AI/ML (known too as GenAI/LLM) has been on the scene now for over three years. In terms of the total picture, the history and data are there for us to study. What's happened in 2026 is a type of acceleration. The split of 'yeah' and 'nay' is still there. But, other dynamics came into play that changed the game this year. 

We're still using AIn't. I quit using any of the systems in early 2024 when the "agentic" came prominent. Why? We prototyped lots of the ideas of the approach four decades ago (in the "knowledge" era) and did good stuff within the constraints of the time. So, I will get to documenting that from my experience and according to what I observed. What we learned there is apropos. 

For instance, the NNN is a general function approximator. And, functions are a focus, say from the work related to the functional approach (Haskell, et al - but, Lisp early, okay?); functions are mappings as we see with category theory; automated processes (basis for the web and SAAS) are from the knowledg era and encapsulated the behavorial/active aspects of objects/classes within the computational sphere; ...

What follows is a list of links related to technical and philosophical themes. These are not disjoint concepts. For each, there is a little comment. 

• DeepAI -- this is their GitHub site which collects some of the offerings behind some of the work that we will be refrencing. GitHub is an on-line system for managing information that is continually be updated and managed, such as code (but some have used its facilities for a collection of technical, topical essays. 
• What Kant and Spinoza can teach us about AI -- Two of Demis Hassabis’s favourite philosophers, Spinoza and Kant, help illuminate the conundrum: can AI turn chaotic data into intelligible, structured reality? ... I have mentioned these two philosophers quite a lot in posts on Linkedin of late. And, my use of AIn't comes directly from agruments by these guys. And so, there are discussions still pending.  
• One view of many on Spinoza by an artist -- interesting take on things; lifting us out of the technical for its own sake.  
• ..., will be splitting this list --- Spinoza (Wikipedia) ; Spinoza (SEP) ; Gutenberg (text) ; Gutenberg (Ethics) ; 
• Mapping Spinoza's Ethics -- offers mean to visualize the "argumentative structure". 
• DeepAI on Spinoza -- they have several philosophers covered which we will get to. 
  
• Chat Spinoza -- when we first saw this, we thought that it was cute; but, we also like how things are interconnected so as to allow analysis. 
• ... 

Uriel de Costa

This post will be a reference for us, too, as we go forward with the 400th, 250th, and the history of the U.S. and technology (say remembering Gibbs, the American, who cntributed to thermodynamics and caught the eye of the illustrious James Clerk Maxwell of Scotland. 

Remarks: Modified: 04/09/2026

04/09/2026 --