Whenveer I see these papers and try them, they always work. This paper is two months old, which in LLM years is like 10 years of progress.
It would be interesting to actively track how far long each progressive model gets...
It would be interesting to actively track how far long each progressive model gets...
> Yes — ((((()))))) is balanced.
> It has 6 opening ( and 6 closing ), and they’re properly nested.
Though it did work when using "Extensive Thinking". The model wrote a Python program to solve this.
> Almost balanced — ((((()))))) has 5 opening parentheses and 6 closing parentheses, so it has one extra ).
> A balanced version would be: ((((()))))
Testing a couple of different models without a harness such that no tool calls are possible would be interesting
The one thing I did trip it up on was "Is there the sh sound in the word transportation". It said no. And then realized I asked for "sound" not letters. It then subsequently got the rest of the "sounds-like" tests I did.
Clearly, my ChatGPT is just better than yours.
When LLMs can't count r's: see? LLMs can't think. Hoax!
When LLMs count r's: see? They patched and benchmark-maxxed. Hoax!
You just can't reason with the anti-LLM group.
Followed by lots of "works perfectly for me, why are people even talking about this?"
I can't say what exactly they're doing behind the scenes but it's a consistent pattern among the big SOTA model providers. With obvious incentive to "fix" the problem so users will then organically "debunk" the meme as they try it themselves and share their experiences.
>You just can't reason with the anti-LLM group.
On the contrary, the reasoning is simple and consistent:
LLMs can't count r's shows that LLM don't actually think the way we understand thought (since nobody with the kind of high skills they have in other areas would fail that). And because of that, there are (likely) patches for commonly reported cases, since it's a race to IPO and benchmark-maxxing is very much conceivable.
Is tokenization extremely efficient? Yes. Does it fundamentally break character-level understanding? Also yes. The only fix is endless memorization.
So yes.
And the valuations. Trillion dollar grifter industry.