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ChatGPT with GPT-4 with just "how to use ffmpeg to slice out a video" pasted directly from your comment without any additional prompting or clarification brough

by jstx1 3y ago

ChatGPT with GPT-4 with just "how to use ffmpeg to slice out a video" pasted directly from your comment without any additional prompting or clarification brought up your point about the keyframes. So whatever you think you're criticising isn't the same thing that I'm using. Kind of demonstrates my point that you're either using an older version or choosing to ignore evidence for some reason.

grayhatter 3y ago
It doesn't impress me that once corrected (which it has been multiple times), that it stops giving wrong answers. If it was able to detect and supply nuance to something novel. Then I might be impressed. BTW: when I posed this question > how do I use ffmpeg to slice out a video, I only want 3 seconds of video from the middle to chatgpt4, it did not mention anything about accounting for keyframes. So I'm not sure what version you're using, but it's not the one I have access to :/ Another reason to assume good faith, because you seem to have access to something that I don't. And, this is now (well before this specific conversation) an expired example because openai's model has been specifically training on this nuance, and thus even if it never made a mistake around it, it still wouldn't be impressive to me; simply because this nuance was directly added to it's model. Remember, we're talking about if the abilities of available models are impressive, what would be impressive to me is if they're able to generalize well enough to know things they haven't been directly taught.
- ftxbro 3y ago
  I watched some flat earthers in debates, and they seemed to revel in their freedom to not be impressed by their opponents arguments. It seemed like a kind of rush for them, like a kind of power trip, that was more intense the stronger their opponents arguments. Like a kind of 'no matter how strong your argument is you can't make me agree with you' power trip.
  - grayhatter 3y ago
    I don't mean to imply that I'm attempting to not be impressed. Before writing the comment you replied to, I asked a friend who is enamored by the new abilities how I would know my mental model for how it works, and what it's able to do is wrong. If I'm wrong, missing something, or making a mistake. I'd like to know about it. Outside of that, the context for the whole discussion is > Why do so many assume we’re on the cusp of super-intelligent AI? And how "smart" text to text engines can become. My argument is actually pretty close to yours. People that are impressed, want to be. They're looking for ways to be impressed. Just like you think I'm looking for ways not to be impressed. Which, even if I am, it still should be easy to convince me (or others) that super-intelligent AI is coming soon to an API near you! Right now, the LLMs that are the new hotness, aren't super intelligent. They're not domain experts, they can't play a simple game that children love without cheating. They're easily distracted if you know how to word a question correctly. While it's cool they can generate language that seems to be true, and useful. It's not as useful as what already exists. (For the context that I care about) And, all of these examples are markers of below average intelligence. What's the argument that would convince me that very soon, we'll take something stupid and make it hyper-intelligent? Because that's no something I've seen happen before. Still, all of that said. Your comment that seems clearly meant to be insulting, doesn't actually make any other point. Did you mean to imply something else? Or was it just an attempt to throw insults by pretending to make an observation? Because the conversation is about if people should be impressed. Which when it comes down to it an opinion, are opinions bad?
    - ftxbro 3y ago
      I guess what I'm supposed to do in 2023 in USA if I have a prediction, like a prediction that increasing params+flops+dataset LLM training will keep unlocking new cognitive capabilities, is to make money from it by doing some kind of investment. I don't know how to do it though. The obvious suggestions are like TSMC, NVIDIA, an AI-specific portfolio, etc. but I'm not confident that those would be good investments for unrelated reasons even though I am confident in my prediction.

by jstx1 3y ago

grayhatter 3y ago

It doesn't impress me that once corrected (which it has been multiple times), that it stops giving wrong answers. If it was able to detect and supply nuance to something novel. Then I might be impressed. BTW: when I posed this question > how do I use ffmpeg to slice out a video, I only want 3 seconds of video from the middle to chatgpt4, it did not mention anything about accounting for keyframes. So I'm not sure what version you're using, but it's not the one I have access to :/ Another reason to assume good faith, because you seem to have access to something that I don't. And, this is now (well before this specific conversation) an expired example because openai's model has been specifically training on this nuance, and thus even if it never made a mistake around it, it still wouldn't be impressive to me; simply because this nuance was directly added to it's model. Remember, we're talking about if the abilities of available models are impressive, what would be impressive to me is if they're able to generalize well enough to know things they haven't been directly taught.

ftxbro 3y ago
I watched some flat earthers in debates, and they seemed to revel in their freedom to not be impressed by their opponents arguments. It seemed like a kind of rush for them, like a kind of power trip, that was more intense the stronger their opponents arguments. Like a kind of 'no matter how strong your argument is you can't make me agree with you' power trip.
- grayhatter 3y ago
  I don't mean to imply that I'm attempting to not be impressed. Before writing the comment you replied to, I asked a friend who is enamored by the new abilities how I would know my mental model for how it works, and what it's able to do is wrong. If I'm wrong, missing something, or making a mistake. I'd like to know about it. Outside of that, the context for the whole discussion is > Why do so many assume we’re on the cusp of super-intelligent AI? And how "smart" text to text engines can become. My argument is actually pretty close to yours. People that are impressed, want to be. They're looking for ways to be impressed. Just like you think I'm looking for ways not to be impressed. Which, even if I am, it still should be easy to convince me (or others) that super-intelligent AI is coming soon to an API near you! Right now, the LLMs that are the new hotness, aren't super intelligent. They're not domain experts, they can't play a simple game that children love without cheating. They're easily distracted if you know how to word a question correctly. While it's cool they can generate language that seems to be true, and useful. It's not as useful as what already exists. (For the context that I care about) And, all of these examples are markers of below average intelligence. What's the argument that would convince me that very soon, we'll take something stupid and make it hyper-intelligent? Because that's no something I've seen happen before. Still, all of that said. Your comment that seems clearly meant to be insulting, doesn't actually make any other point. Did you mean to imply something else? Or was it just an attempt to throw insults by pretending to make an observation? Because the conversation is about if people should be impressed. Which when it comes down to it an opinion, are opinions bad?
  - ftxbro 3y ago
    I guess what I'm supposed to do in 2023 in USA if I have a prediction, like a prediction that increasing params+flops+dataset LLM training will keep unlocking new cognitive capabilities, is to make money from it by doing some kind of investment. I don't know how to do it though. The obvious suggestions are like TSMC, NVIDIA, an AI-specific portfolio, etc. but I'm not confident that those would be good investments for unrelated reasons even though I am confident in my prediction.