Here are some terms that you need to understand: #recursiveAI
AI is always recursive. That’s because it learns things. Once it learns something, it cannot unlearn it.
A large language model is like soup.
If you add too much salt, you cannot take it out. It is in the soup.
The entire soup would have to be thrown down the drain to get the salt out.
There is no Excel spreadsheet where you can just go delete a line. This in fact has almost nothing to do with normal
#computerscience
It is PhD statistics, PhD linear algebra, PhD geometry, and some PhD physics.
Computer science is a side dish. That’s why there are almost no qualified AI researchers because 10 years ago nobody thought that going into statistics and getting a PhD would get them a good job.
Because large language models are basically next best word predictors. In a mass scale with billions and billions of things called nodes.
What AI researchers built is changing so quickly that if you quit a company for three months to do a little eat, pray, love?
You would have massive work to do coming back into the industry to catch up to see what you missed.
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