So I'm old. PhD on search engines in the early 1990's (yep, early 90s). Learnt AI in the dark days of the 80's. So, there is an awful lotl of forgetting going o

So I'm old. PhD on search engines in the early 1990's (yep, early 90s). Learnt AI in the dark days of the 80's. So, there is an awful lotl of forgetting going on, largely driven by the publish-or-perish culture we have. Brooks' subsumption architecture was not perfect, but it outlined an approach that philosophy and others have been championing for decades. He said he was not implementing Heidegger, just doing engineering, but Brooks was certainly channeling Heidegger's successors. Subsumption might not scale, but perhaps that is where ML comes in. On a related point, "generative AI" does sequences (it's glorified auto complete (not) according to Hinton in the New Yorker). Data is given to a Tokeniser that produces a sequence of tokens, and the "AI" predicts what comes next. Cool. Robots are agents in an environment with an Umwelt. Robotics is pre the Tokeniser. What is it the is recognisable and sequential in the world? 2 cents please.