This week we are debating modern AI systems, especially the commercial ones on just about everyone's lips when talking about CVs, high school term papers, and interview answers.
Large Language Models (LLMs), of which ChatGPT and Bard are two examples, are growing in prominence, but will they disrupt the technology world, or are they nothing more than just another blockchain fizzle?
In this episode:
Unrelated to AI, we also talk about what happens to all the "smart" things in your house when the internet goes out? What stops working? Way more than you might think...
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Thanks for listening!
Maybe not bankrupt, but has business problem: https://www.forbes.com/sites/lutzfinger/2023/08/18/is-openai-going-bankrupt-no-but-ai-models-dont-create-moats/?sh=3c8922845e22
Gartner declares LLMs at the peak of inflated expectations: https://www.gartner.com/en/newsroom/press-releases/2023-08-16-gartner-places-generative-ai-on-the-peak-of-inflated-expectations-on-the-2023-hype-cycle-for-emerging-technologies
The Circle (Movie): https://www.imdb.com/title/tt4287320/
Amazon Sidewalk, and it's privacy issues: https://www.popsci.com/technology/amazon-sidewalks-privacy-concerns/
Idiocracy (Movie): https://www.imdb.com/title/tt0387808/
Moores law is dead: https://www.technologyreview.com/2016/05/13/245938/moores-law-is-dead-now-what/
GM deletes Car Play from future EVs: https://www.theverge.com/2023/4/4/23669523/gm-apple-carplay-android-auto-ev-restrict-access
GM announces $130K EV Escalade (without CarPlay): https://www.theverge.com/2023/8/10/23827059/gm-no-carplay-android-auto-escalade-iq
Fragile Things (Book): https://amzn.to/47BWWkB