Quote:
Originally Posted by ratinox
Most of the actual significant advances were made 40+ years ago.
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Back in the mid to 1980s 100% curated data from experts was used to build AI called "Expert Systems".
In the late 1990s ALICE was not much different to Eliza (1960s) as a chatbot, except was on the Internet. The flaw of those was the data was in the code, not separate. The so called "neural network" isn't new and dates to before WWII, when an array of sensors and lamps etc was demoed doing pattern matching. The current LLMs add storage outside of the program code. That's the only
big change.
It takes a lot of processing, so much water and electricity is wasted.
Quote:
Originally Posted by ratinox
What the media and tech bros call "AI" today is... okay, brief overview:
Neural networks are software simulations of how living brain cells work. Neural networks are really good at building collections of patterns and identifying aberrations in those patterns.
It's not generative and it's not AI, and it's definitely not new. It's 40 year old tech run in reverse.
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Except it's not how biological brain cells work. The word "neural" is marketing. It's more akin to a dataflow diagram with storage at the nodes. It's certainly pattern matching.