One may argue, that Google-Search had a similar impact but I disagree with that. Researching ones topic and getting help on the internet
is no different than learning it by book. By Google-Search one still needs to <u>research</u> the topic and still has to <u>manually</u> solve ones problem.
That's why we go to school! To solve the problems by <u>ourselves</u> and not rely on others to do it for us.<br><br>
ChatGPT and other Language-Based-Models have had a negative impact on students. Instead of <u>doing the work by themselves</u> the AI does it for them, which <u>doesn't teach the student!</u>.<br><br>
A particular problem with for example ChatGPT is, that these Language models <u>don't understand their response</u>. ChatGPT is just a word predictor on steroids.
Dependent on the input and already generated text, the Language model <i>predicts</i> the next word to output.<br><br><hr><br>
<b>But let's change the topic</b> as I can rant about this forever.<br><br>
Everyone always talks about the <i>environment</i>, how we need so save energy. We have to switch off the lights, turn off the computer and drive less.
Comparing a simple Google Search to a ChatGPT query, we see that a Google Search consumes around 0.3 watt-hours of power while a ChatGPT query consumes 2.9 watt-hours (<ahref="https://www.goldmansachs.com/insights/articles/AI-poised-to-drive-160-increase-in-power-demand"><i>source</i></a>).<br>
This is a near 1000% increase in power consumption!<br><br>
As time goes on, these Large-Language-Models will evolve further and grow, which of course will increase their power consumption.<br><br><br>
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