3 ms·

Why would most people use them? What do they offer other than dubious facts that they have to check 95% of the time to not get screwed by something important th

Why would most people use them? What do they offer other than dubious facts that they have to check 95% of the time to not get screwed by something important that it got wrong and in the past would have taken a 5 second google search before the top 50 results became a copy-pasted AI answer? AI may be good for coding, but it is still crap for many generalized topics beyond a 5th grader's questions. The answers are way too simplified and lack the details needed to rely upon it and contains tons of useless filler. Nobody is going to spend a bunch of money just to ask an AI questions that might be given wrong answers and spews out 75% filler that wastes their time. Go start asking AI about the Ph level needed for different plants. You can get multiple different ranges depending on how you ask the question for the same plant, with repeated generic plant growing info that is not helpful for anyone that already gardens or has grown a plant.

illusive4080 2mo ago
Part of the problem is there’s so much garbage on the internet that an LLM can consume in search of the answer. As humans, we look into source quality: we can tell it by reputation of the website, how carefully crafted that site is, what qualifications the author has, and much more. There are many subtle tells on the internet that indicate source quality to humans, that AI cannot pick up on. I experienced this first hand this week while searching for a specification on how much oil my car holds. AI gave me different answers multiple times. I manually searched, found an official manufacturer page, and got the proper information. Had I listened to the AI the first time, I would’ve severely underfilled my car.
davidjade 2mo ago
Sometimes I wonder if I am in a bubble. This has not been my experience at all. A few examples: We have a sailboat and it has a turbo diesel engine, which is unusual (for a sailboat). Purely mechanical and I understand small diesel engines pretty well. But when we had loss of power and a change in exhaust and it could have been about 4 different things. Based on an array symptoms ChatGPT worked through a few tests for me to do and narrowed it down. It had a consistent and good methodology for working through this. I am planning a large solar array for our boat. It is challenging because it is a 48v system and that has certain requirements. We have to use an array of smaller panels wired together in groups to get the right voltages. I also have partial shading issues to work out. But there are a lot of other variables too that have to be accounted for. It worked through all this well and came up with a great plan, pointing out things that were not hard to verify but things I did not initially think of. I am pretty knowledgeable about electrical stuff as well and it did not get anything wrong. Another example is I want to come up with a way to identify a user for a system based on 5 things they could remember. Not facts, things. But how do you make a system that someone can remember (without writing down) 5 things, 5 years from now. ChatGPT came up with a good idea using memory chains that would make it easier for a person to remember. All of these were insightful conversations that I had with ChatGPT Sol medium effort. I also find that for answering questions that require some thinking (like how does xyz work) my default is becoming ChatGPT vs Google more and more.

illusive4080 2mo ago

Part of the problem is there’s so much garbage on the internet that an LLM can consume in search of the answer. As humans, we look into source quality: we can tell it by reputation of the website, how carefully crafted that site is, what qualifications the author has, and much more. There are many subtle tells on the internet that indicate source quality to humans, that AI cannot pick up on. I experienced this first hand this week while searching for a specification on how much oil my car holds. AI gave me different answers multiple times. I manually searched, found an official manufacturer page, and got the proper information. Had I listened to the AI the first time, I would’ve severely underfilled my car.

davidjade 2mo ago

Sometimes I wonder if I am in a bubble. This has not been my experience at all. A few examples: We have a sailboat and it has a turbo diesel engine, which is unusual (for a sailboat). Purely mechanical and I understand small diesel engines pretty well. But when we had loss of power and a change in exhaust and it could have been about 4 different things. Based on an array symptoms ChatGPT worked through a few tests for me to do and narrowed it down. It had a consistent and good methodology for working through this. I am planning a large solar array for our boat. It is challenging because it is a 48v system and that has certain requirements. We have to use an array of smaller panels wired together in groups to get the right voltages. I also have partial shading issues to work out. But there are a lot of other variables too that have to be accounted for. It worked through all this well and came up with a great plan, pointing out things that were not hard to verify but things I did not initially think of. I am pretty knowledgeable about electrical stuff as well and it did not get anything wrong. Another example is I want to come up with a way to identify a user for a system based on 5 things they could remember. Not facts, things. But how do you make a system that someone can remember (without writing down) 5 things, 5 years from now. ChatGPT came up with a good idea using memory chains that would make it easier for a person to remember. All of these were insightful conversations that I had with ChatGPT Sol medium effort. I also find that for answering questions that require some thinking (like how does xyz work) my default is becoming ChatGPT vs Google more and more.