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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]

This is the same argument that people in denial about AI gives all the time. I do agree that symbolic AI for example solving equations with symbols such as a system of linear equations with say 3 variables is a very difficult task using AI. So symbolic AI is not yet ready for prime time but I will be. Similarly quantum computing is not ready for prime time but it will be one day. People can keep denying the advances of AI and it's potential to have a non negotiable impact on the labor market all they want, but the threat is real. [/quote]

Solving systems of linear equations is a solved problem. You might be thinking of SAT problems which are NP-complete and difficult to solve. And while AI might present solutions, we do have SAT solvers.

AI is a threat to mundane, repetitive, or pattern-analysis. As othered have mentioned, AI has no idea what it's printing. If you aren't familiar with the topic, you will not notice the hallucinations.[/quote]

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