AI Personalization Fuels Groupthink and Uniformity

This really is completely independent of &quot;AI&quot;. I remember seeing a famous presentation (maybe it was a TED talk?) about the &quot;echo chamber&quot; effect of personalization from the mid 00s - and IMO nearly all of the negative impacts discussed in that talk came to pass and then some. AI just makes it worse.<p>Edit: I think it was this I was referring to about &quot;filter bubbles&quot;, <a href="https:&#x2F;&#x2F;youtu.be&#x2F;B8ofWFx525s?si=rK1T-v5D0sAeiHJe" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;B8ofWFx525s?si=rK1T-v5D0sAeiHJe</a> . I was a tad mistaken, this was from 2011.

I worry about this. I happen to have done quite a lot of programming in Lisp dialects over the last decade or so but since adopting Gpt4 I tend to just code in Python because that is what the model understands best. It does seem like AI will enhance network effects by increasing the efficiency difference between technologies that the AI knows and those that it doesn&#x27;t. Kind of depressing.

What I’m even more interested in, what about the time when people don’t open Google, just ask for a product.<p>Some companies are 10^7x, while 10^7 others are said goodbye?