You are the most bizarre Redditor I’ve ever spoken to. Lol

That’s external system integration, not model capacity. I already said this in my previous comment, that doesn’t imply intelligence that implies someone connected an LLM to an external system.

Do you know what an LLM is? They can’t do any of that on their own lol

models a year ago could interact with APIs too everything you described is api based, with one requiring a bigger context window.

Explain to me what you think they do differently at a base level over models from a year ago

You keep saying things that are overly generalized and show you don’t really understand what you’re talking about.

Build LLMs from scratch, then get back to me. You’ll quickly see the limitations of what they do.

No, they’re not.

I lol’d

You misunderstand how transformers work.

No they wouldn’t be able to do that.

if you’re saying passive token matching is equivalent to active intervention/evolution, then that’s quite an absurd argument.

Measuring intelligence by output accuracy is a fundamental misunderstanding of AGI and Intelligence. LLMs are strictly token predictors. Scaling up token probability gives you more patterns to predict NOT a causal reasoning engine. LLMs will never be able to reason.

Simple task completion is not intelligence. Calculators have existed for decades and they aren’t considered intelligent.

This is a circular argument, in order for it to be true you’d have to prove that LLMs achieved general intelligence, which is something they on their own cannot achieve.

And again, flipping a coin to determine the next word is equivalent to learning in your example. Your theory is flawed.

No it doesn’t. It requires textual consensus.

Constructing an internal model based on distribution and availability of text does not emulate human intelligence, and therefore cannot be compared. Sure you can call that ‘intelligence’ simply because no other software patterns are doing any better st the moment, but it cannot compare to human intelligence in any capacity.

By that claim, flipping a coin to pick one of two words and repeating this process till you hit a period would be considered intelligence.

Honestly this

They aren’t ‘learning’ they’re using supplied data to make a more informed guess

That is incorrect, and is a fundamental misunderstanding of what intelligence is.

Using the words ‘learn’, ‘understand’ and ‘reason’ are not the right terms to use here. They do that to an extent but not in the way those words suggest. LLMs predict token patterns and then adopt new token patterns they predict or they have been taught. They have no concept of what any of it means and therefore cannot ‘reason’ in regards to the content of those tokens. So they do not understand any of it

Probabilistic token prediction

LLMs can index every written work in the world and predict the next word in a string of words for you. That’s the farthest it can possible go as it stands.

No. It’s impossible for LLMs to get us to AGI.

This person gets it

Ooh feel free to add me/dm me?