Meta “programmed it to simply not answer questions,” but it did anyway.
Kaplan noted that AI chatbots “are not always reliable when it comes to breaking news or returning information in real time,” because “the responses generated by large language models that power these chatbots are based on the data on which they were trained, which can at times understandably create some issues when AI is asked about rapidly developing real-time topics that occur after they were trained.”
If you’re expecting a glorified autocomplete to know about things it doesn’t have in its training data, you’re an idiot.
Yeah, the average person is the idiot here, for something they never asked for, and for something they see no value in. Companies threw billions of dollars at this emerging technology. Many things like Google Search have hallucinating, error-prone AI forced into the main product that is impossible to opt-out or use the (working) legacy version now…
Nobody is forcing you to use it.
I’m using it and I see great value in it. And if there are people that see value in a product then it’s worth the investment.
I always ask all people defending AI, or rather LLMs, what’s the great value they all mention in their comments. So far the “best” answer I got was one dude using LLMs to extract info from decades old reports that no one has checked in 20 years hahaha. So glad we are allowing LLMs to deetroy the environment and plagiarize all creative work for that lol.
So, what is the great value you see man?
Yes, people are being forced to use it if they want to, for instance, search using Google or Bing.
As the parent comment suggested, or there’s no way to opt out, currently.
I’m glad you see value in it; I think the injection of LLM queries into search results I want to contain accurate results (and nothing more) a useless waste of power.
There are definitely idiots, but these idiots don’t get their ideas of how the world works out of thin air. These AI chatbot companies push the cartoon reality that this is a smart robot that knows things hard in their advertisements, and to learn otherwise you have to either listen to smart people or read a lot of text.