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You are missing the point.FactChecker said:I think that AI has gone well beyond that. ChatGPT can now take the requirements for a computer program controlling simple devices and generate a fairly good program along with instructions for wiring the device. The code does benefit from some tweaking by a human.
See this.
Generating code for programs is a prime example of something that can be made by training the software in relative word frequence, sentence construction and so on. As long as there is a huge amount of programming code in the training data, chances are youll get something useful, maybe in need of minor corrections. My opening post was about an example of AI for optimizing computer code. To test conceptual understanding, I argue that the software has to reach outside of the training data, to exclud mimicry. For example, train the software on data where prime searching algorthims (and similar programs) has been excluded. If the software has a conceptual understanding of the code it writes it should be able to make decent attempts on such programs without being trained on it. Without the use of stochastical processes.
Just as we expect from out high school students.