LLMs can not produce factual answers. That's not a property of them. What people call "hallucination" is the only thing they can do. Even if it occasionally hap

LLMs can not produce factual answers. That's not a property of them. What people call "hallucination" is the only thing they can do. Even if it occasionally happens to deliver a correct results that's just the broken clock being right twice a day. The typical ones sound authorative and so people believe it's authorative, this is well documented in Thinking Fast & Slow. As Aza Raskin put it, they hit a zeroday in human cognition. But that doesn't change the fundamentals of it, only the perception of the output which we need to consciously combat. https://hachyderm.io/@inthehands/112006855076082650 https://hachyderm.io/@inthehands/112006855076082650 > You might be surprised to learn that I actually think LLMs have the potential to be not only fun but genuinely useful. “Show me some bullshit that would be typical in this context” can be a genuinely helpful question to have answered, in code and in natural language — for brainstorming, for seeing common conventions in an unfamiliar context, for having something crappy to react to. > Alas, that does not remotely resemble how people are pitching this technology.