Ya I've had basically this question for a while. My assumption is that most of the time people search the internet to answer questions they DONT know the answer to.
If an LLM gives you a response to that question, how do you know if its right or wrong without already knowing the answer or verifying it some other way? Is everyone just assuming the ai answers are right a majority of the time? Have there been large scale verification of a wide variety of questions that I'm not aware of?
That's comparing apples to oranges though isn't it? Generating videos is the output of the technology, not the tech itself. It would be like someone asking "this computer that takes up a whole room printed out ascii art, what is this useful for?"
Do you remember any of the functions/commands that were not documented? I'm semi active in the Janet community and would be able to work on improving the docs where its lacking!
I think the OP was saying that having minors agree to a social media sites terms and conditions is them entering a contract. So if you're against minors entering contracts, its logically consistent to also be against holding minors to a websites terms.
If you are learning Polish, how do you know that ChatGPT is the better tutor of Polish?
I guess you could ask the same question of a human tutor, however this seems to me the sort of thing a chatbot could very confidently give BS or incorrect information, and you would have no way of knowing unless a human who already knows Polish pointed it out.
I would highly recommend starting with a fantasy console such as Pico-8 or TIC-80. They remove the temptation to start by building a game engine from scratch, and instead help you focus on actually creating games! Plus they have great communities, complete docs, and simple apis.
Wow, I literally did a full cluster version upgrade last night without knowing about this. I would have delayed the upgrade if I had known GKE was failing for "a small number of customers"
I wish cloud providers would just communicate outages to services I use like this to me!
If an LLM gives you a response to that question, how do you know if its right or wrong without already knowing the answer or verifying it some other way? Is everyone just assuming the ai answers are right a majority of the time? Have there been large scale verification of a wide variety of questions that I'm not aware of?