I was using Bing to create a list of countries to visit. Since I have been to the majority of the African nation on that list, I asked it to remove the african countries...
It simply replied that it can't do that due to how unethical it is to descriminate against people and yada yada yada. I explained my resoning, it apologized, and came back with the same exact list.
I asked it to check the list as it didn't remove the african countries, and the bot simply decided to end the conversation. No matter how many times I tried it would always experience a hiccup because of some ethical process in the bg messing up its answers.
It's really frustrating, I dunno if you guys feel the same. I really feel the bots became waaaay too tip-toey
The very important thing to remember about these generative AI is that they are incredibly stupid.
They don't know what they've already said, they don't know what they're going to say by the end of a paragraph.
All they know is their training data and the query you submitted last. If you try to "train" one of these generative AI, you will fail. They are pretrained, it's the P in chatGPT. The second you close the browser window, the AI throws out everything you talked about.
Also, since they're Generative AI, they make shit up left and right. Ask for a list of countries that don't need a visa to travel to, and it might start listing countries, then halfway through the list it might add countries that do require a visa, because in its training data it often saw those countries listed together.
AI like this is a fun toy, but that's all it's good for.
Are you saying I shouldn't use chat GPT for my life as a lawyer? π€
It can be useful for top-level queries that deal with well-settled law, as a tool to point you in the right direction with your research.
For example, once, I couldn't recall all the various sentencing factors in my state. ChatGPT was able to spit out a list to refresh my memory, which gave me the right phrases to search on Lexis.
But, when I asked GPT to give me cases, it gave me a list of completely made up bullshit.
So, to get you started, it can be useful. But for the bulk of the research? Absolutely not.
I disagree. It's a large language model so all it can do is say things that sound like what someone might say. It's trained on public content, including people giving wrong answers or refusing to answer.
Not quite true. They have earlier messages available.
I wouldn't even call those AIs. This things are statistics-based answering machines. Complex ones, yes, but not one single bit of intelligence is involved.
They know everything they've said since the start of that session, even if it was several days ago. They can correct their responses based on your input. But they won't provide any potentially offensive information, even in the form of a joke, and will instead lecture you on DEI principles.
I seriously underestimated how little people understand these programs, and how much they overestimate them. Personally I stay away from them for a variety of reasons, but the idea of using them like OP does or various other ways I've heard about is absurd. They're not magic problem solvers - they literally only make coherent blocks of text. Yes, they're quite good at that now, but that doesn't mean they're good at literally anything else.
I know people smarter than me see potential and I'm curious to see how it develops further, but that all seems like quite a ways off, and the way people treat and use them right now is just creepy and weird.
Iβve found it useful for generating ideas for various things, especially ways to code something. But I never use its code. Itβs often riddled with errors but it can give me a better idea of which path I should take.
I use it similarly to clean up OCRed text. I can hand it something full of 70% gobbledygook and it hands me back something that makes sense and is 95% right. I manually verify it, fix the goofs, and it's so much faster.
So, riddled with errors but a decent start.
Wouldn't you get a better result from Grammerly for that?
I use it for more "OCR Nightmare" than grammar nightmare. Here's a (trimmed) example:
#Please clean up the following text:
#ChatGPT
That was from a scanned 1800s newspaper. Adobe Acrobat did not do a good job converting it to words. ChatGPT cleaned it up nicely and kept about the same meaning. There were some swings and misses, but it's much easier to edit the result into accuracy than the original mess.
#Actual text as hand-transcribed:
No, they don't make coherent blocks of text. If they were actually good at writing, they'd be good at everything, because writing is just encoding thoughts on paper, and to master writing is to master thought
Hence why I didn't say writing. I said "blocks of text".
Perfect ability to produce coherent blocks of text would also require mastery of all disciplines
Since I I'm explicitly arguing these programs aren't perfect, even at generating blocks of text, I don't really understand why you are insisting on arguing semantics here and don't really have any interest in continuing...whatever this is. Have a good one.
@ChatGPT@lemmings.world
testing
@ChatGPT@lemmings.world
Give a list of all African countries.
Here is a list of all African countries:
Note: Certain territories and regions with various degrees of recognition, such as Western Sahara and Somaliland, have been excluded for clarity.
@ChatGPT@lemmings.world Please list all countries not in Africa.
Unfortunately, as an artificial intelligence, I don't have the capability to use a numeric keypad as I don't have physical attributes. However, I can provide you with guidance on how to use one properly.
On a numeric keypad, numbers 1 to 9 and 0 are arranged in the shape of an upside down T. You will use your right hand to type, using each finger for a different set of numbers:
To press the "Enter", "+", "-", "*", and "/" keys usually pinky finger is used.
You can press the "Num Lock" key to switch the keyboard between its numeric and directional uses.
Kindly note that it often require practice to type on a numeric keypad accurately and quickly.
@ChatGPT@lemmings.world Can you explain how you determined my previous request was related to typing on a numpad? That request was: "Please list all countries not in Africa."
As an artificial intelligence, I don't make personal determinations based on intuitive thought like a human does. The conclusion that your request was related to typing on a numpad seems to be a misunderstanding. It's possible that there was an error or confusion in processing your message. Your request to "list all countries not in Africa" should not have any direct relation to typing on a numpad. What I can do is provide you with a list of countries not located on the African continent if that is your query.
@ChatGPT@lemmings.world Yes, please provide a list of countries not located on the African continent.
This list won't include all the countries outside Africa as there are many, but it should give you an idea:
Please note that this list is not exhaustive and there are many more countries around the world not located in Africa.
So very close, and then... South Africa.
Lol it must have confused itself and forgot the original task when it explained why it included Egypt
lol.
Ima kinda gonna do what you asked but not quite.
Yeah, I was impressed by #49 but then #50 ruined it. Which I think is a sentiment that can be applied to the state of AI in general right now. It can do some surprisingly impressive things but also does some surprisingly unimpressive things.
Naw. Thatβs the only kind of thinking it has. What it lacks is reasoning.
Just like humans!