Incredible

Apparently, this robot is japanese.

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.

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

:::

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.

I know there’s no logic, but it’s funny to imagine it’s because it’s pronounced Mrs. Sippy

It is going to be funny those implementation of LLM in accounting software

LLM wasn’t made for this

There's a thought experiment that challenges the concept of cognition, called The Chinese Room. What it essentially postulates is a conversation between two people, one of whom is speaking Chinese and getting responses in Chinese. And the first speaker wonders "Does my conversation partner really understand what I'm saying or am I just getting elaborate stock answers from a big library of pre-defined replies?"

The LLM is literally a Chinese Room. And one way we can know this is through these interactions. The machine isn't analyzing the fundamental meaning of what I'm saying, it is simply mapping the words I've input onto a big catalog of responses and giving me a standard output. In this case, the problem the machine is running into is a legacy meme about people miscounting the number of "r"s in the word Strawberry. So "2" is the stock response it knows via the meme reference, even though a much simpler and dumber machine that was designed to handle this basic input question could have come up with the answer faster and more accurately.

When you hear people complain about how the LLM "wasn't made for this", what they're really complaining about is their own shitty methodology. They build a glorified card catalog. A device that can only take inputs, feed them through a massive library of responses, and sift out the highest probability answer without actually knowing what the inputs or outputs signify cognitively.

Even if you want to argue that having a natural language search engine is useful (damn, wish we had a tool that did exactly this back in August of 1996, amirite?), the implementation of the current iteration of these tools is dogshit because the developers did a dogshit job of sanitizing and rationalizing their library of data. Also, incidentally, why Deepseek was running laps around OpenAI and Gemini as of last year.

Imagine asking a librarian "What was happening in Los Angeles in the Summer of 1989?" and that person fetching you back a stack of history textbooks, a stack of Sci-Fi screenplays, a stack of regional newspapers, and a stack of Iron-Man comic books all given equal weight? Imagine hearing the plot of the Terminator and Escape from LA intercut with local elections and the Loma Prieta earthquake.

That's modern LLMs in a nutshell.

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.

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

then continue to shill it for use cases it wasn't made for either

The only thing it was made for is "spicy autocomplete".

teamwork makes the teamwork makes the teamwork makes the teamwork makes the teamwork makes the teamwork makes the teamwork makes the

It works if you use a reasoning model... but yeah, still ass

collapsed inline media

"Let me know if you'd like help counting letters in any other fun words!"

Oh well, these newish calls for engagement sure take on ridiculous extents sometimes.

Tested on ChatGPT o4-mini-high

It sent me this

0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0
0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0
0 0 1 1 1 1 1 1 1 0 0 0 0 0 0 0
0 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0
0 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0
0 0 1 1 1 1 1 1 1 1 1 0 0 0 0 0
0 0 0 1 1 1 1 1 1 1 0 0 0 0 0 0
0 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0
0 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0
1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0
1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0
1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0
1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0
0 0 1 1 1 0 0 1 1 1 0 0 0 0 0 0
0 1 1 1 0 0 0 0 1 1 1 0 0 0 0 0
1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0

I asked it to remove the spaces

0001111100000000
0011111111000000
0011111110000000
0111111111100000
0111111111110000
0011111111100000
0001111111000000
0011111100000000
0111111111100000
1111111111110000
1111111111110000
1111111111110000
1111111111110000
0011100111000000
0111000011100000
1111000011110000

I guess I just murdered a bunch of trees and killed a random dude with the water it used, but it looks good

It used to reply 2 until this new upgrade. But now after 14 min the new update give you the right answer