this post was submitted on 08 Jun 2025
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[–] FreakinSteve@lemmy.world 17 points 1 hour ago (1 children)

NOOOOOOOOO

SHIIIIIIIIIITT

SHEEERRRLOOOOOOCK

[–] 800XL@lemmy.world 2 points 48 minutes ago (1 children)

Extept for Siri, right? Lol

[–] Threeme2189@lemmy.world 2 points 37 minutes ago

Apple Intelligence

[–] skisnow@lemmy.ca 12 points 2 hours ago

What's hilarious/sad is the response to this article over on reddit's "singularity" sub, in which all the top comments are people who've obviously never got all the way through a research paper in their lives all trashing Apple and claiming their researchers don't understand AI or "reasoning". It's a weird cult.

[–] RampantParanoia2365@lemmy.world 16 points 3 hours ago (1 children)

Fucking obviously. Until Data's positronic brains becomes reality, AI is not actual intelligence.

[–] JDPoZ@lemmy.world 7 points 2 hours ago (1 children)

It’s an expensive carbon spewing parrot.

[–] Threeme2189@lemmy.world 1 points 36 minutes ago

It's a very resource intensive autocomplete

[–] communist@lemmy.frozeninferno.xyz 4 points 2 hours ago* (last edited 2 hours ago)

I think it's important to note (i'm not an llm I know that phrase triggers you to assume I am) that they haven't proven this as an inherent architectural issue, which I think would be the next step to the assertion.

do we know that they don't and are incapable of reasoning, or do we just know that for x problems they jump to memorized solutions, is it possible to create an arrangement of weights that can genuinely reason, even if the current models don't? That's the big question that needs answered. It's still possible that we just haven't properly incentivized reason over memorization during training.

if someone can objectively answer "no" to that, the bubble collapses.

[–] Auli@lemmy.ca 18 points 6 hours ago

No shit. This isn't new.

[–] GaMEChld@lemmy.world 22 points 8 hours ago (7 children)

Most humans don't reason. They just parrot shit too. The design is very human.

[–] skisnow@lemmy.ca 4 points 1 hour ago

I hate this analogy. As a throwaway whimsical quip it'd be fine, but it's specious enough that I keep seeing it used earnestly by people who think that LLMs are in any way sentient or conscious, so it's lowered my tolerance for it as a topic even if you did intend it flippantly.

[–] joel_feila@lemmy.world 5 points 2 hours ago

Thata why ceo love them. When your job is 90% spewing bs a machine that does that is impressive

[–] elbarto777@lemmy.world 22 points 6 hours ago

LLMs deal with tokens. Essentially, predicting a series of bytes.

Humans do much, much, much, much, much, much, much more than that.

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[–] mavu@discuss.tchncs.de 48 points 10 hours ago

No way!

Statistical Language models don't reason?

But OpenAI, robots taking over!

[–] ZILtoid1991@lemmy.world 16 points 10 hours ago (1 children)

Thank you Captain Obvious! Only those who think LLMs are like "little people in the computer" didn't knew this already.

[–] TheFriar@lemm.ee 6 points 5 hours ago (2 children)

Yeah, well there are a ton of people literally falling into psychosis, led by LLMs. So it’s unfortunately not that many people that already knew it.

[–] joel_feila@lemmy.world 1 points 2 hours ago

Dude they made chat gpt a little more boit licky and now many people are convinced they are literal messiahs. All it took for them was a chat bot and a few hours of talk.

[–] BlaueHeiligenBlume@feddit.org 11 points 9 hours ago (1 children)

Of course, that is obvious to all having basic knowledge of neural networks, no?

[–] Endmaker@ani.social 1 points 5 hours ago

I still remember Geoff Hinton's criticisms of backpropagation.

IMO it is still remarkable what NNs managed to achieve: some form of emergent intelligence.

[–] vala@lemmy.world 28 points 12 hours ago
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