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Joined 3 years ago
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Cake day: June 23rd, 2023

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  • I’ll preface this by saying I’m not an expert, and I don’t like to speak authoritatively on things that I’m not an expert in, so it’s possible I’m mistaken. Also I’ve had a drink or two, so that’s not helping, but here we go anyways.

    In the article, the author quips on a tweet where they seem to fundamentally misunderstand how LLMs work:

    I tabbed over to another tab, and the top post on my Bluesky feed was something along these lines:

    ChatGPT is not a search engine. It does not scan the web for information. You cannot use it as a search engine. LLMs only generate statistically likely sentences.

    The thing is… ChatGPT was over there, in the other tab, searching the web. And the answer I got was pretty good.

    The tweet is correct. The LLM has a snapshot understanding of the internet based on its training data. It’s not what we would generally consider a true index based search.

    Training LLMs is a costly and time consuming process, so it’s fundamentally impossible to regenerate an LLM in the same order of magnitude of time it takes to make a simple index.

    The author fails to address any of these issues, which suggests to me that they don’t know what they’re talking about.

    I suppose I could conceded that an LLM can fulfill a similar role that a search engine traditionally has, but it’d kinda be like saying that a toaster is an oven. They’re both confined boxes which heat food, but good luck if you try to bake 2 pies at once in a toaster.



  • Makes me think of a trend in FTP gaming, where there was a correlation between play time and $ spent, so gaming companies would try and optimise for time played. They’d psychologically manipulate their players to spend more time in game with daily quests, battle passes, etc, all in an effort to raise revenues.

    What they didn’t realise was that players spent time in game because it was fun, and they bought mtx because they enjoyed the game and wanted it to succeed. Optimising for play time had the opposite effect, and made the game a chore. Instead of raising revenues, they actually dropped.

    This is why you always have to be careful when chasing metrics. If you pick wrong, it can have the opposite effect that you want.