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▲Neal Stephenson: The Real Threat Isn't AI, It's Us [video] (self.__VINEXT_RSC_CHUNKS__=self.__VINEXT_RSC_CHUNKS__||[];self.__VINEXT_RSC_CHUNKS__.push("2:I[\"aadde9aaef29\",[],\"default\",1]\n3:I[\"6e873226e03b\",[],\"Children\",1]\n5:I[\"bc2946a341c8\",[],\"LayoutSegmentProvider\",1]\n6:I[\"6e873226e03b\",[],\"Slot\",1]\n7:I[\"3506b3d116f7\",[],\"ErrorBoundary\",1]\n8:I[\"a9bbde40cf2d\",[],\"default\",1]\n9:I[\"3506b3d116f7\",[],\"NotFoundBoundary\",1]\na:\"$Sreact.suspense\"\n:HL[\"/assets/index-BLEkI_5r.css\",\"style\"]\n")get="_blank">youtube.com)
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LLMs are mirrors. They take whatever the user (or the institution, or the platform) is already doing and amplify it. Sycophancy is the consumer-facing version: model converges to flattery because that's what user-approval optimization actually selects for.
The model removes the friction that used to make us stop and check ourselves. The same property that makes it useful makes it amplification machinery.
I have ADHD and zero patience for videos/podcasts so I really need something like this. This link is also a video that's why I mention it :) Obviously I didn't watch it.
So ADHD or not, this is a common demand.
Title: How to make my aunt's donuts.
AI Summary: In this video author shares his perfect recipe for making donuts and some other similar treats from custom made dough, based on a recipe running in his family, then he shares some tips on making them more appetizing.
Basically downloading the video, trimming it with sponsorblock, running through whisper to transcribe and then making a readable article with an LLM. It would not have to be hard. I'm surprised it hasn't happened yet, not from youtube itself indeed for reasons you mention but still.