AGI achieved 🤖
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I'm not involved in LLM, but apparently the way it works is that the sentence is broken into words and each word has assigned unique number and that's how the information is stored. So LLM never sees the actual word.
Adding to this, each word and words around it are given a statistical percentage. In other words, what are the odds that word 1 and word 2 follow each other? You scale that out for each word in a sentence and you can see that LLMs are just huge math equations that put words together based on their statistical probability.
This is key because, I can't emphasize this enough, AI does not think. We (humans) anamorphize them, giving them human characteristics when they are little more than number crunchers.
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Agi lost
Henceforth, AGI should be called "almost general intelligence"
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Biggest threat to humanity
I know there’s no logic, but it’s funny to imagine it’s because it’s pronounced Mrs. Sippy
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Henceforth, AGI should be called "almost general intelligence"
Happy cake day
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I get the meme aspect of this. But just to be clear, it was never fair to judge LLMs for specifically this. The LLM doesn't even see the letters in the words, as every word is broken down into tokens, which are numbers. I suppose with a big enough corpus of data it might eventually extrapolate which words have which letter from texts describing these words, but normally it shouldn't be expected.
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Happy cake day
Thanks! Time really flies.
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It's funny how people always quickly point out that an LLM wasn't made for this, and then continue to shill it for use cases it wasn't made for either (The "intelligence" part of AI, for starters)
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I know there’s no logic, but it’s funny to imagine it’s because it’s pronounced Mrs. Sippy
And if it messed up on the other word, we could say because it’s pronounced Louisianer.
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Next step how many r in Lollapalooza
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wrote on last edited by [email protected]
Try it with o3 maybe it needs time to think
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I don't get it
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I get the meme aspect of this. But just to be clear, it was never fair to judge LLMs for specifically this. The LLM doesn't even see the letters in the words, as every word is broken down into tokens, which are numbers. I suppose with a big enough corpus of data it might eventually extrapolate which words have which letter from texts describing these words, but normally it shouldn't be expected.
True and I agree with you yet we are being told all job are going to disappear, AGI is coming tomorrow, etc. As usual the truth is more balanced
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I get the meme aspect of this. But just to be clear, it was never fair to judge LLMs for specifically this. The LLM doesn't even see the letters in the words, as every word is broken down into tokens, which are numbers. I suppose with a big enough corpus of data it might eventually extrapolate which words have which letter from texts describing these words, but normally it shouldn't be expected.
I've actually messed with this a bit. The problem is more that it can't count to begin with. If you ask it to spell out each letter individually (ie each letter will be its own token), it still gets the count wrong.
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Next step how many r in Lollapalooza
Apparently, this robot is japanese.
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It's funny how people always quickly point out that an LLM wasn't made for this, and then continue to shill it for use cases it wasn't made for either (The "intelligence" part of AI, for starters)
Fair point, but a big part of "intelligence" tasks are memorization.
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It's funny how people always quickly point out that an LLM wasn't made for this, and then continue to shill it for use cases it wasn't made for either (The "intelligence" part of AI, for starters)
It's marketed like its AGI, so we should treat it like AGI to show that it isn't AGI. Lots of people buy the bullshit
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Fair point, but a big part of "intelligence" tasks are memorization.
Computers for all intents are purposes have perfect recall so since it was trained on a large data set it would have much better intelligence. But in reality what we consider intelligence is extrapolating from existing knowledge which is what “AI” has shown to be pretty shit at
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It's funny how people always quickly point out that an LLM wasn't made for this, and then continue to shill it for use cases it wasn't made for either (The "intelligence" part of AI, for starters)
There are different types of Artificial intelligences. Counter-Strike 1.6 bots, by definition, were AI. They even used deep learning to figure out new maps.
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Computers for all intents are purposes have perfect recall so since it was trained on a large data set it would have much better intelligence. But in reality what we consider intelligence is extrapolating from existing knowledge which is what “AI” has shown to be pretty shit at
They don't. They can save information on drives, but searching is expensive and fuzzy search is a mystery.
Just because you can save a mp3 without losing data does not mean you can save the entire Internet in 400gb and search within an instant.
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Next step how many r in Lollapalooza
wrote on last edited by [email protected]Obligatory 'lore dump' on the word lollapalooza:
That word was a common slang term in the 1930s/40s American lingo that meant... essentially a very raucous, lively party.
::: spoiler Note/Rant on the meaning of this term
The current merriam webster and dictionary.com definitions of this term meaning 'an outstanding or exceptional or extreme thing' are wrong, they are too broad.
While historical usage varied, it almost always appeared as a noun describing a gathering of many people, one that was so lively or spectacular that you would be exhausted after attending it.
When it did not appear as a noun describing a lively, possibly also 'star-studded' or extravagant, party, it appeared as a term for some kind of action that would cause you to be bamboozled, discombobulated... similar to 'that was a real humdinger of a blahblah' or 'that blahblah was a real doozy'... which ties into the effects of having been through the 'raucous party' meaning of lolapalooza.
:::
So... in WW2, in the Pacific theatre... many US Marines were often engaged in brutal, jungle combat, often at night, and they adopted a system of basically verbal identification challenge checks if they noticed someone creeping up on their foxholes at night.
An example of this system used in the European theatre, I believe by the 101st and 82nd airborne, was the challenge 'Thunder!' to which the correct response was 'Flash!'.
In the Pacific theatre... the Marines adopted a challenge / response system... where the correct response was 'Lolapalooza'...
Because native born Japanese speakers are taught a phoneme that is roughly in between and 'r' and an 'l' ... and they very often struggle to say 'Lolapalooza' without a very noticable accent, unless they've also spent a good deal of time learning spoken English (or some other language with distinct 'l' and 'r' phonemes), which very few Japanese did in the 1940s.
::: spoiler racist and nsfw historical example of / evidence for this
https://www.ep.tc/howtospotajap/howto06.html
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Now, some people will say this is a total myth, others will say it is not.
My Grandpa who served in the Pacific Theatre during WW2 told me it did happen, though he was Navy and not a Marine... but the other stories about this I've always heard that say it did happen, they all say it happened with the Marines.
My Grandpa is also another source for what 'lolapalooza' actually means.
