Weird. I tried in chatGPT auto and it worked perfectly. I tried like 10 variations. I also did the letters in words. Got all of them right.
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.
heh, interesting that. I just tried it twice more with ChatGPT "Instant" (disabling "Auto-switch to Thinking") and it got it wrong both times. Does yours get it right without thinking or tool calls? If so, maybe it does like you better than me.
OK, I didn't think to disable switch to thinking (didn't know this was a mode). When I did that then it did get it wrong -- oddly it took about the same amount of time, so thinking mode wasn't taking longer, but it was more accurate.
Right, though I didn't explicitly disable thinking for my first attempt either. I'd guess my prompt was less detailed than yours and so ChatGPT (in "Auto" mode) decided to allocate thinking tokens for your questions but not mine.
It doesn't address the maintainer's argument which is that the issue exists to attract new human contributors. It's not clear that attracting an OpenClawd instance as contributor would be as valuable. It might just be shut down in a few months.
> The bot (allegedly) did a better performance improvement than the maintainer.
But on a different issue. That comparison seems odd
> 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