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[quote=Anonymous][quote=Anonymous][quote=Anonymous][quote=Anonymous]I took a course in machine learning in 2003. We used a very old programming language called common lisp and for the final project we had to build an email spam detector using a sample of 10,000 emails.

I remember this very well our professor told us at that time that soon we will have microprocessors that will allow us to run models much faster regardless of the size of the data. Our professor told us when that time comes corporations would race to reduce their workforce with AI even if imperfect at first because of the cost savings. 21 years later was out professor correct? [/quote]

He's wrong. Data is growing faster than Moore's law. Even with AI, the training is bounded by available computation resources. That was true in 2003 and true today.

The current crop of AI doesn't reason. Any job that requires reasoning or creativity is safe. For example, why can't you ask AI to just figure out the next "big app" and then tell it to write the app?[/quote]

I don't think the professor was wrong.  It's just that this generation of AI isn't capable enough of fulfilling the prediction.  Whatever companies / media are hyping in public, the consumption rates of this tech aren't looking good, and MS is already pulling back from its planned investments in it.  Of course the entire tech industry is doing everything possible to extract money from the hype cycle while it can.  Unfortunately (or fortunately) we are likely going to have to wait for another unpredictable breakthrough to continue making progress.  Throwing more energy/compute/data at gigantic models has passed the point of diminishing returns.[/quote]

It's changing fast enough that assigning "generations" to A.I. is becoming futile at this point. [/quote]

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