this post was submitted on 04 Dec 2023
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This already is total BS. If you know how such language models work you'd never take their responses at face value, even though it's tempting because they spout their BS so confidently. Always double-check their responses before applying their "knowledge" in the real world.
The question they try to answer is flawed, no wonder the result is just as bad.
Before anyone starts crying about my language models opposition: I'm not opposed to LMs or ChatGPT. In fact, I'm running LMs locally because they help me be more productive and I'm a paying ChatGPT customer.
People also don't realize that it's super easy to intentionally have severe biases in an AI's response. So if ChatGPT wants, for example, Trump to win, they can very easily make their AI pro trump. It could be as subtle as just having more favorable than usual responses for trump related prompts which many people would take the AI's word for. The idea that "well it still gets things wrong but at least AI is impartial" is completely false because maintaining an AI requires a lot of human work and its management are still all humans.
I agree with your statements, I'm using it because it's insanely good at me giving it a list of any number of instructions to include in a code template file in any language I want and it will give me a great starting template with most functions working out of the gate and I can tweak and extend from there. It's generative, it generates exactly what I tell it to. I'm not asking it to give me stock trading tips.
This is why I have started to really like lmsys.org's chat bot arena because every time you ask a question you are directly comparing the responses of two separate chat bots. It is much less likely that chatbots will hallucinate in the same way and puts you in the mindset to be a critical reader who is actively evaluating the quality of the response.
(what I am talking about) https://arena.lmsys.org/