2 Comments
Aug 30Liked by Kevin Gargate

I find this analysis very fair and relevant. The open question for me is indeed how LLMs are going to learn and integrate these improvements. When ChatGPT was launched, each answer provided was given the opportunity to rate the quality of the answer with a thumbs-up or thumbs-down. Today, this assessment has disappeared, leaving only an upside-down thumbs-up if the user finds the answer irrelevant. The consequence is that the tool assumes by default that the answer is correct, which potentially reinforces the error. This may seem like a detail, but I think it's a reflection of the widespread use of AI, where we end up being satisfied with something average. As a result, for the user, there is no longer the wow effect, and we can see that more and more people are no longer challenging the tool, contenting themselves with using it in a zone that they have defined.

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Aug 29Liked by Kevin Gargate

AI is a joke. It's Wikipedia 2.0. Wikipedia was totally unreliable on any major subject. AI amps up those mistakes to a ridiculous degree. The primary purpose of the AI hype is to get needed capital into worthless silicon Valley losers. It also stomps out creativity and originality. AI makes us into lazy miscreants.

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