You hold artificial intelligence to the standards of general artificial intelligence, which doesn’t even exist yet. Even dumb decision trees are considered an AI. You have to lower your expectations. Calling the best AIs we have dumb is unhelpful at best.
We never called if statements AI until the last year or so. It’s all marketing buzz words. It has to be more than just “it makes a decision” to be AI, or else rivers would be AI because they “make a decision” on which path to take to the ocean based on which dirt is in the way.
Yeah, and highlighting that difference is what is important right now.
This is the first AI to masquerade as general artificial intelligence and people are getting confused.
This current thing doesn’t have or need rights or ethics. It can’t produce new intellectual property. It’s not going to save Timmy when he falls into the well. We’re going to need a new Timmy before all this is over
Playing chess was the sign of AI, until a computer best Kasparov, then it suddenly wasn’t AI anymore. Then it was Go, it was classifying images, it was having a conversation, but whenever each of these was achieved, it stopped being AI and became “machine learning” or “model”.
Shit as dumb as decision trees are considered AI. As long as there’s an if-statement somewhere in the app, they can slap the label AI on it, and it’s technically correct.
Language is a method for encoding human thought. Mastery of language is mastery of human thought. The problem is, predictive text heuristics don’t have mastery of language and they cannot predict desired output
I thought this was an inciteful comment. Language is a kind of ‘view’ (in the model view controller sense) of intelligence. It signifies a thought or meme. But, language is imprecise and flawed. It’s a poor representation since it can be misinterpreted or distorted. I wonder if language based AIs are inherently flawed, too.
Language based AIs will always carry the biases of the language they speak. I am certain a properly trained bilingual AI would be smarter than a monolingual AI of the same skill level
Sorry, but you oversimplify a lot here, it hurts. Language can express and communicate human thought, sure, but human thought is more than language. Human thought includes emotions, experiences, abstract concepts, etc. that go beyond what can be expressed through language alone. LLMs are excellent at generating text, often more skilled than the average person, but training data and algorithms limit LLMs. They can lack nuances of context, tone, or intent. TL;DR.: Understanding language doesn’t imply understanding human thought.
I’d love to know how you even came to your conclusion.
None of it is even AI, Predicting desired text output isn’t intelligence
You hold artificial intelligence to the standards of general artificial intelligence, which doesn’t even exist yet. Even dumb decision trees are considered an AI. You have to lower your expectations. Calling the best AIs we have dumb is unhelpful at best.
We never called if statements AI until the last year or so. It’s all marketing buzz words. It has to be more than just “it makes a decision” to be AI, or else rivers would be AI because they “make a decision” on which path to take to the ocean based on which dirt is in the way.
Yeah, and highlighting that difference is what is important right now.
This is the first AI to masquerade as general artificial intelligence and people are getting confused.
This current thing doesn’t have or need rights or ethics. It can’t produce new intellectual property. It’s not going to save Timmy when he falls into the well. We’re going to need a new Timmy before all this is over
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At this point i just interpret AI to be "we have lots of select statements and inner joins "
There are also threshold functions and gradient calculations.
Rightly so, as decision trees are also considered AI, which are very dumb in comparison to LLMs. People have way too high expectations for AI.
Pick a number from 1 to 2^63 - 1 ~= 9 x 10^19 randomly. See AI is easy /s
Echo $RANDOM og ai
AI is whatever machines can’t do yet.
Playing chess was the sign of AI, until a computer best Kasparov, then it suddenly wasn’t AI anymore. Then it was Go, it was classifying images, it was having a conversation, but whenever each of these was achieved, it stopped being AI and became “machine learning” or “model”.
Machine learning is still AI. Specifically, it’s a subset of AI.
Always remember that it will only get better, never worse.
They said “computers will never do x” and now x is assumed.
There’s a difference between “this is AI that could be better!” and “this could one day turn into AI.”
Everyone is calling their algorithms AI because it’s a buzzword that trends well.
Shit as dumb as decision trees are considered AI. As long as there’s an if-statement somewhere in the app, they can slap the label AI on it, and it’s technically correct.
That’s not technically correct unless the thresholds in those if statements are updated on the information gained for the data.
Language is a method for encoding human thought. Mastery of language is mastery of human thought. The problem is, predictive text heuristics don’t have mastery of language and they cannot predict desired output
I thought this was an inciteful comment. Language is a kind of ‘view’ (in the model view controller sense) of intelligence. It signifies a thought or meme. But, language is imprecise and flawed. It’s a poor representation since it can be misinterpreted or distorted. I wonder if language based AIs are inherently flawed, too.
Edit: grammar, ironically
Language based AIs will always carry the biases of the language they speak. I am certain a properly trained bilingual AI would be smarter than a monolingual AI of the same skill level
Sorry, but you oversimplify a lot here, it hurts. Language can express and communicate human thought, sure, but human thought is more than language. Human thought includes emotions, experiences, abstract concepts, etc. that go beyond what can be expressed through language alone. LLMs are excellent at generating text, often more skilled than the average person, but training data and algorithms limit LLMs. They can lack nuances of context, tone, or intent. TL;DR.: Understanding language doesn’t imply understanding human thought.
I’d love to know how you even came to your conclusion.
“Mastery of language is mastery of human thought.” is easy to prove false.
The current batch of AIs is an excellent data point. These things are very good at language, and they still can’t even count.
The average celebrity provides evidence that it is false. People who excel at science often suck at talking, and vice-versa.
We didn’t talk our way to the moon.
Even when these LLMs master language, it’s not evidence that they’re doing any actual thinking, yet.
I think the current batch of AIs and the Kardashians are bad at using language
Depends on your definition of AI, and everyone’s definition is different.