The research from Purdue University, first spotted by news outlet Futurism, was presented earlier this month at the Computer-Human Interaction Conference in Hawaii and looked at 517 programming questions on Stack Overflow that were then fed to ChatGPT.

“Our analysis shows that 52% of ChatGPT answers contain incorrect information and 77% are verbose,” the new study explained. “Nonetheless, our user study participants still preferred ChatGPT answers 35% of the time due to their comprehensiveness and well-articulated language style.”

Disturbingly, programmers in the study didn’t always catch the mistakes being produced by the AI chatbot.

“However, they also overlooked the misinformation in the ChatGPT answers 39% of the time,” according to the study. “This implies the need to counter misinformation in ChatGPT answers to programming questions and raise awareness of the risks associated with seemingly correct answers.”

    • @[email protected]
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      17 months ago

      if this is your take, then lot of keyboard made a lot of discovery.

      This is literally my point. It is arbitrary to choose that all the good ideas came from “humans”. If we are going to give all credit for anything AI produces to humans, then it only seems fair to give all credit for human things to our common ancestors with chimpanzees, because if it were not for their clever ideas, we would never have been here. But wait, we can’t stop there, because we have to give credit to the original single-celled life forms, and eventually, back to the universe itself(like I mentioned before).

      Look, I totally get the desire to want to glorify humans and think that we have something special that machines don’t/can’t have. It kinda sucks to think that we are not so special, and potentially extememly inferior to what is right around the corner. We can’t let that primal ego desire cloud our judgement, though. Our brains are physical machines doing calculations. There is not some magical difference between our calculations that make it so we can make discoveries and machines cannot.

      Imagine you teach your little brother how to play chess, and then your brother thinks about it a bunch and comes up with a bunch of new strategies and starts to kick your butt every time, and eventually atatts crushing tournaments. Sure, you can cling to the fact that you taught him how to play, and you can go around telling everyone how “you” are winning all these tournaments because your brother is actually winning them, but it doesn’t change the fact that your brother is the one with the secret sauce that you simply are unable to comprehend.

      Your whole point is that if people do it, then it is some special discovery thing, but if computers do it, then it is just computational brute force. There is actually no difference between the two, it is just two different ways of wording the same process. We made programs that could understand the rules, and then it went further and in the same direction that we were trying to go.

      So far as continuing indefinitely because we are on a trajectory goes, sure, we will eventually hit some intelligence plateaus, but we are nowhere near this point. Why can I say this with such certainty? Because we have things that we know will work that we haven’t gotten around to combining yet. Some of this gets a bit technical, but a nice way to think of it is this. Right now, we are mainly using hardware designed to generate general graphics that we have hijacked to use for machine learning. The usual speedup when we go from using generalized hardware to specialized is about 5 orders of magnitude(10,000x). That kind of a gain has huge implications in the AI/ML world. This is just one out of many known improvements on the horizon, but it is one of the simplest to wrap your head around. I don’t know how familiar you are with things like crewAI or autogen, but they are phenomenal, they absolutely crush all of the greatest base LLMs, but they are still a bit slow due to how many LLM calls they take. When we have a 10,000x speedup(which is pretty much guarenteed), then everyone will be able to instantly use enormous agent frameworks like this in an instant.

      I understand wanting to see humans as having a monopoly on “intelligence”, but quite frankly that era is coming to an end. It may be a bumpy ride, but the sooner humans learn to adjust to this new world, the better. I don’t think it is something that someone can really make someone else see, but once you do see it, it is very obvious. I suggest you check out the cutting-edge agent stuff out there and then imagine that the most impressive stuff will be routinely done from a single prompt in an instant. Then, on top of that, consider that the base LLMs that we have now are the worst there will ever be. We are in for a very wild ride.

        • @[email protected]
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          17 months ago

          The 5 orders of magnitude gained from general computers to asics is standard knowledge, you learn it in the first year of any comp sci class. You can find it all over, for example.

          The main thing that you are missing is that the human mind also brute forces to come up with ideas. There isn’t a difference. We don’t have some super magical mystical human thing that sets us apart.

          A way to imagine how it can be possible for a computer to have thoughts and ideas just like humans is this: Imagine you take a human brain and you switch out one neuron for an electrical part, and you leave the rest of the brain as it is. Can that brain have thoughts and ideas like a human? Obviously, yes. What if you switch out another one? And another. If each electrical neuron is doing the same thing as the original one, then eventually you could switch out the entire brain and have an entirely computer brain doing exactly what a human does. At what point would you say that this machine is no longer doing what a human does and just “Brute forcing” ideas?

          I totally get that right now, with lots of jobs at risk, many people are really concerned with holding onto the idea that hunans have a monopoly on thinking and thoughts. I think it’s important to now let what we want to be true to interfere with our analysis of what is true.

            • @[email protected]
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              17 months ago

              The past is where we get all of our information from. To pretend like we can’t use the past to predict the future makes us unable to do anything. We don’t have a time machine to go see exactly how the future plays out.

              It is more common than you realise for their to be predictable trends in computing. Just go look at Moore’s law and how long it has held up(with just minor adjustments). What would be way more surprising is if we are all of a sudden at a massive turning point where we can no longer anticipate what is next. You don’t have to take my word for this. Find anyone with a background in computing to independently verify it. Even chatgpt could really help you understand this.

              The specialized hardware efficiency gain isn’t even a mystery at all. It is simply the consequence of designing hardware that does a specific task very well. It isn’t nearly as much of a guess as you think it is. To help you picture it, imagine a vehicle that works on land, sea, and sky. It is not such a leap to say that a vehicle made to work for just the land would be much more efficient at being on land. This really isn’t anything that anyone in the computing world disagrees with. It is just your outsider point of view that is making it seem like magic to you. Again, don’t take my word. This is comp science 101 stuff that really isn’t disputed.

              So far as the thought experiment with replacing neurons. The technology to do so doesn’t need to exist for the point to hold true. That simply isn’t a logical requirement for thought experiments. This has nothing to do with computing or anything. This is just true of logical arguments. In order to make points, we can use thought experiments. This is something that Einstein was famous for, and not many people question his ability to form solid arguments.

              I understand that you feel passionate about this, and you really want this idea that humans are somehow magical and fundamentally different from machines. It really is understandable. I’ve given plenty of solid arguments that you really haven’t responded to at all. It has never been true that people can’t use thought experiments or past trends to help make conclusions about the future. It is very telling that these are things that you feel like you must discard in order to defend your stance. These are both things that have been reliably used for hundreds and even thousands of years.

              I would really encourage you to get ahold of some logical reasoning material and try to take a step back to some basics if this is something that you are interested in digging a bit deeper into this. It is almost never the case that initial hunches turn out to be kept after thurough investigation.

                • @[email protected]
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                  17 months ago

                  You’ve completely misunderstood. I specifically said we don’t have a time machine to see how the future plays out. All we can do is make our best guesses based on the past.

                  You’ve had to throw away basic reasoning tools that have been used for ages in order for your stance to remain “safe.” I understand your fear, but honestly, you are better off embracing and understanding instead of putting your head in the sand and saying that we shouldn’t use the past to make predictions of the future.

        • @[email protected]
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          17 months ago

          I do just want to add that my conclusion is that I, as a human, am not uniquely special for having the ability to have thoughts, ideas, and come up with new things. This point of view is inherently a massive blow to the human ego. It simply doesn’t make any sense to hold such a view if one’s ego is what is controlling the judgment. The same can not be said about the opposite viewpoint.