cracks? it doesn't even exist. we figured this out a long time ago.
this post was submitted on 15 Oct 2024
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They are large LANGUAGE models. It's no surprise that they can't solve those mathematical problems in the study. They are trained for text production. We already knew that they were no good in counting things.
"You see this fish? Well, it SUCKS at climbing trees."
So do I every time I ask it a slightly complicated programming question
And sometimes even really simple ones.
How many w's in "Howard likes strawberries" It would be awesome to know!
So I keep seeing people reference this... And I found it curious of a concept that LLMs have problems with this. So I asked them... Several of them...
Outside of this image... Codestral ( my default ) got it actually correct and didn't talk itself out of being correct... But that's no fun so I asked 5 others, at once.
What's sad is that Dolphin Mixtral is a 26.44GB model...
Gemma 2 is the 5.44GB variant
Gemma 2B is the 1.63GB variant
LLaVa Llama3 is the 5.55 GB variant
Mistral is the 4.11GB Variant
So I asked Codestral again because why not! And this time it talked itself out of being correct...
Edit: fixed newline formatting.
Whoard wlikes wstraberries (couldn't figure out how to share the same w in the last 2 words in a straight line)
Interesting. . . I'd say Gemma 2B wasn't actually wrong - it just didn't answer the question you asked! I wonder if they have this problem with other letters - like maybe it's something to do with how we say w as double-you . . . But maybe not, because they seem to be underestimating rather and overestimating. But yeah, I guess the fuckers just can't count. You'd think a question using the phrase 'How many . . .' would be a giveaway that they might need to count something rather than rely on knowledge base.
LOL 😆😅! I totally made it up! And it worked! So maybe it's not just R's that it has trouble counting. It's any letter at all.
I'd be happy to help! There are 3 "w"s in the string "Howard likes strawberries".
Are you sure? Can you please double check?
Did anyone believe they had the ability to reason?
People are stupid OK? I've had people who think that it can in fact do math, "better than a calculator"
Yes
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Here's the cycle we've gone through multiple times and are currently in:
AI winter (low research funding) -> incremental scientific advancement -> breakthrough for new capabilities from multiple incremental advancements to the scientific models over time building on each other (expert systems, LLMs, neutral networks, etc) -> engineering creates new tech products/frameworks/services based on new science -> hype for new tech creates sales and economic activity, research funding, subsidies etc -> (for LLMs we're here) people become familiar with new tech capabilities and limitations through use -> hype spending bubble bursts when overspend doesn't keep up with infinite money line goes up or new research breakthroughs -> AI winter -> etc...
The tested LLMs fared much worse, though, when the Apple researchers modified the GSM-Symbolic benchmark by adding "seemingly relevant but ultimately inconsequential statements" to the questions
Good thing they're being trained on random posts and comments on the internet, which are known for being succinct and accurate.
Yeah, especially given that so many popular vegetables are members of the brassica genus
Definitely true! And ordering pizza without rocks as a topping should be outlawed, it literally has no texture without it, any human would know that very obvious fact.
Absolutely. It would be a shame if AI didn't know that the common maple tree is actually placed in the family cannabaceae.
statistical engine suggesting words that sound like they'd probably be correct is bad at reasoning
How can this be??
I would say that if anything, LLMs are showing cracks in our way of reasoning.
Or the problem with tech billionaires selling "magic solutions" to problems that don't actually exist. Or how people are too gullible in the modern internet to understand when they're being sold snake oil in the form of "technological advancement" when it's actually just repackaged plagiarized material.
But what if they're wearing an expensive leather jacket
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I feel like a draft landed on Tim's desk a few weeks ago, explains why they suddenly pulled back on OpenAI funding.
People on the removed superfund birdsite are already saying Apple is missing out on the next revolution.
I hope this gets circulated enough to reduce the ridiculous amount of investment and energy waste that the ramping-up of "AI" services has brought. All the companies have just gone way too far off the deep end with this shit that most people don't even want.
People working with these technologies have known this for quite awhile. It's nice of Apple's researchers to formalize it, but nobody is really surprised-- Least of all the companies funnelling traincars of money into the LLM furnace.
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Someone needs to pull the plug on all of that stuff.
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