History is the subject of this episode. So if you ever wondered what happened roughly 13 billion years ago (give or take a few), this episode is for you. Almost. As post-production advised us (to avoid the nasty term "try on your new shoes made from concrete in the middle of the ocean), we had to narrow this down to the history of a particular subject. So sparing no expenses never mind wisdom we chose artificial intelligence. As we are still struggling with the natural type of this anyway. So without further ado, let's get right into it. Word of caution: As usual, please be advised that listening to this show while driving, operating heavy machinery or other activities requiring your concentration and attention may not be a good idea. You have been warned! Plus bonus content about Skynet and winters of the AI persuasion (we desperately hope that at least this got your attention :-). And dolphins of course.
Links
Alan Turing's paper on AI: https://academic.oup.com/mind/article/LIX/236/433/986238?login=false
Pavlov and classical conditioning: http://www.scholarpedia.org/article/Classical_conditioning
Overview of machine learning: https://en.wikipedia.org/wiki/Machine_learning#Approaches
History of artificial intelligence: https://www.ibm.com/think/topics/history-of-artificial-intelligence
PageRank I: https://www.google.com/search/howsearchworks/how-search-works/ranking-results/
PageRank II (including lots of math): https://www.ams.org/publicoutreach/feature-column/fcarc-pagerank
DeepMind: https://deepmind.google
Elon Musk & World Domination: https://www.youtube.com/watch?v=-1bnCHWou9A
LLMs: https://pmc.ncbi.nlm.nih.gov/articles/PMC11645129
Expert systems: https://en.wikipedia.org/wiki/Expert_system
Skynet: https://en.wikipedia.org/wiki/Skynet_(Terminator)
Person of interest: https://www.imdb.com/title/tt1839578/?ref_=fn_t_1
Meta's Llama: https://www.llama.com