Technology

59658 readers

2997 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 1 year ago

MODERATORS

[email protected]

493

Apple study exposes deep cracks in LLMs’ “reasoning” capabilities (arstechnica.com)

submitted 1 month ago by [email protected] to c/[email protected]

109 comments fedilink hide all child comments

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 2 points 1 month ago* (last edited 1 month ago) (1 children)

I'm not redefining anything, I'm just pointing out that intelligence is not as narrow as most people assume, it's a broad term that encompasses various gradations. It doesn't need to be complex or human-like to qualify as intelligence.

A single if statement arguably isn't intelligence, sure, but how many if statements is? Because at some point you can write a complex enough sequence of if statements that will exhibit intelligence. As I was saying in my other comments, where do we draw this line in the sand? If we use the definition from the link, which is:

The highest faculty of the mind, capacity for comprehending general truths.

Then 99% of animal species would not qualify as intelligent.

You may rightfully argue that term AI is too broad and that we could narrow it down to mean specifically "human-like" AI, but the truth is, that at this point, in computer science AI already refers to a wide range of systems, from basic decision-making algorithms to complex models like GPTs or neural networks.

My whole point is less about redefining intelligence and more about recognizing its spectrum, both in nature and in machines. But I don't expect for everybody to agree, even the expert in the fields don't.

[–] [email protected] 1 points 1 month ago* (last edited 1 month ago)

I’m not redefining anything, I’m just pointing out that intelligence is not as narrow as most people assume, it’s a broad term that encompasses various gradations.

"I'm not redefining anything, I'm just insisting that my definition of the term is the only correct one."

You're running a motte-and-bailey here. First you say someone else is definitively "not correct" in their usage of the term, and then you go on to make a more easily defensible argument of "well who is to say what the meaning of the term truly is? It's a very gray area".

Then 99% of animal species would not qualify as intelligent.

By some definitions, certainly...and that's the whole point.

You may rightfully argue that term AI is too broad and that we could narrow it down to mean specifically “human-like” AI, but the truth is, that at this point, in computer science AI already refers to a wide range of systems, from basic decision-making algorithms to complex models like GPTs or neural networks.

I think taken as a whole the term "AI" has more meaning if you take both words in the phrase into account together rather than separately.

For instance, computer opponents in early video games naturally fit the moniker "AI" because even though it obviously does not possess intelligence in the general sense of the term, the developers are trying to artificially fool you into thinking it does.

Ultimately, it's probably futile to try to rescue the phrase from the downward spiral it is on into meaninglessness, but I do not believe the word "intelligence" necessarily needs to spiral down in concert.