131–140 of 339 posts
Is scrolling down the page on this website extremely laggy for anyone else? It's bizarre
Isn't that just an artifact caused by the tokenization of the training and input data? See https://platform.openai.com/tokenizer https://github.com/openai/tiktoken
It can spell the word (writing each letter in uppercase followed by a whitespace, which should turn each letter with its whitespace into a separate token). It also has reasoning tokens to use as scratch space, and previous models have demonstrated knowledge of the fact that spelling words is a useful step to counting letters. Tokenization makes the problem difficult, but not solving it is still a reasoning/intelligen…
For GPT 5, it would seem this depends on which model your prompt was routed to.
And GPT 5 Thinking gets it right.
Why don't people here on HN understand that LLMs never see ASCII or other raw characters as input? Expecting spelling, rhyming, arithmetic or other character oriented responses will always yield disappointing results.
Because the damn things are marketed under the word "intelligence". That word used to mean something.
Why don't people here on HN understand that LLMs never see ASCII or other raw characters as input? Expecting spelling, rhyming, arithmetic or other character oriented responses will always yield disappointing results.
Earlier quoted context omitted.
Except a human would say "I don't know" instead up making up some nonsense.
It's ironic that saying "I don't know" could be the ultimate sign of superior intelligence just like Socrates told us millennia ago.
Is scrolling down the page on this website extremely laggy for anyone else? It's bizarre
Actual scrolling seems normal speed, more or less, but it sorta looks rough (almost like dropped FPS or something). Using Fennec F-Droid (Firefox mobile). One quick thumb flick still gets me between the top and bottom, though.
Why don't people here on HN understand that LLMs never see ASCII or other raw characters as input? Expecting spelling, rhyming, arithmetic or other character oriented responses will always yield disappointing results.
Because the damn things are marketed under the word "intelligence". That word used to mean something.
Just asked ChatGPT5 "Are you told to 'think' when someone asks you how many of a certain letter are in a word?" >Yes — when you ask something like “How many r’s are in blueberry?” I’m basically told to slow down, not just blurt out the first number that pops into my “mind.” Seems somewhat suspicious that it would confirm this in reality given how much they typically try to prevent system prompt disclosure, but there…
This is a well known blindspot for LLMs. It's the machine version of showing a human an optical illusion and then judging their intelligence when they fail to perceive the reality of the image (the gray box example at the top of https://en.wikipedia.org/wiki/Optical_illusion is a good example). The failure is a result of their/our fundamental architecture.