903
College professors are going back to paper exams and handwritten essays to fight students using ChatGPT
(www.businessinsider.com)
this post was submitted on 13 Aug 2023
903 points (97.8% liked)
Technology
60070 readers
3167 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
I think you're conflating "intelligence" with "being smart".
Intelligence is more about taking in information and being able to make a decision based on that information. So yeah, automatic traffic lights are "intelligent" because they use a sensor to check for the presence of cars and "decide" when to switch the light.
Acting like some GPT is on the same level as a traffic light is silly though. On a base level, yes, it "reads" a text prompt (along with any messaging history) and decides what to write next. But that decision it's making is much more complex than "stop or go".
I don't know if this is an ADHD thing, but when I'm talking to people, sometimes I finish their sentences in my head as they're talking. Sometimes I nail it, sometimes I don't. That's essentially what chatGPT is, a sentence finisher that happened to read a huge amount of text content on the web, so it's got context for a bunch of things. It doesn't care if it's right and it doesn't look things up before it says something.
But to have a computer be able to do that at all?? That's incredible, and it took over 50 years of AI research to hit that point (yes, it's been a field in universities for a very long time, with most that time people saying it's impossible), and we only hit it because our computers got powerful enough to do it at scale.
Where does that come from? A better gauge for intelligence is whether someone or something is able to resolve a problem that they did not encounter before. And arguably all current models completely suck at that.
I also think the word “AI” is used quite a bit too liberal. It confuses people who have zero knowledge on the topic. And when an actual AI comes along we will have to make up a new word because “general artificial intelligence” won’t be distinctive enough for corporations to market their new giant leap in technology….
I would suggest the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig. It's a good overview of the field and has been in circulation since 1995. https://en.m.wikipedia.org/wiki/Artificial_Intelligence:_A_Modern_Approach
Here's a photo, as an example of how this book approaches the topic, in that there's an entire chapter on it with sections on four approaches, and that essentially even the researchers have been arguing about what intelligence is since the beginning.
But all of this has been under the umbrella of AI. Just because corporations have picked up on it, doesn't invalidate the decades of work done by scientists in the name of AI.
My favourite way to think of it is this: people have forever argued whether or not animals are intelligent or even conscious. Is a cat intelligent? Mine can manipulate me, even if he can't do math. Are ants intelligent? They use the same biomechanical constructs as humans, but at a simpler scale. What about bacteria? Are viruses alive?
If we can create an AI that fully simulates a cockroach, down to every firing neuron, does it mean it's not AI just because it's not simulating something more complex, like a mouse? Does it need to exceed a human to be considered AI?
Intelligence (in a biological sense) is defined differently from how computer scientists approach describing artificial intelligence. "Making a decision based on information" is not a criteria sufficient to declare something is intelligent in a biological sense. But that's what a lot of people (wrongly) assume when they hear artificial "intelligence".
To describe an AI as intelligent, as understood in natural science, you obviously can't use the criteria applied in computer science. There is broad consensus in biological science that animals have intelligence. Just the scope of intelligence is heavily discussed, or rather, which level of intelligence each of them reach.
Viruses are not considered lifeforms, btw. Naturally, there is no 100 % answer on anything in science. But that shouldn't be confused with there being no substance to these answers.