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As someone who actually has a university degree in Artificial Intelligence, I feel like this is always how it's been. Before, an "AI Expert" was someone who knew how to use Tensorflow, PyTorch or Keras. Before that, an "AI Expert" was someone who knew how to write a Monte Carlo simulation, etc etc.

You could of course say the same for frontend engineer or backend engineers. How many frontend engineers are simply importing Tailwind, React, etc? How many backend engineers are simply importing apache packages?

Where do you draw the line? Can you only be an AI expert if you stick to non-LLM solutions? Or are AI experts the people who have access to hundreds of millions of USD to train their own LLMs? Who are the real AI experts?



I would liken it to cars. There is a difference between engineers, mechanics, and mechanics that know a certain car so well that they fabricate parts that improve upon the original design.


Good comparison. Engineers who build cars and understand their intricacies oftentimes just work on one small thing at a time, even in teams. Like a team just working on breaks. The mechanics can piece the stuff together and keep it working in a real world setting. But nowadays a self-declared "AI Expert" in that metaphor might be just some person who knows how to drive a car.


If you think back to when cars were introduced, knowledge of how to drive a car was actually a rare skill! People weren't born with that inherent knowledge, so someone who could operate a vehicle (and do some basic maintenance) was an expert.

Nowadays, that would be laughed at. But AI is more comparable to cars from 1900 than modern vehicles.


I used to work on breaks, but then I realized I was more productive when I actually stopped and walked around a bit.


i draw the line at people claiming to be experts in something they have only done for a year




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