It 100% is still intelligence. GPT-5 with Thinking still can't win at tic-tac-toe.
To be able to reason about the rules of a game so trivial that it has been solved for ages, so that it can figure out enough strategy to never not bring the game to a draw (if played against one who is playing to not lose), or a win (if played against someone who is leaving the bot an opening to win), as mentioned in [0] and probably a squillion other places?
Duh?
However, I'd expect that "Appearing to fail to reason well enough to know how to always fail to lose, and -if the opportunity presents itself- win at one of the simplest games there is." is absolutely not a desired outcome for OpenAI, or any other company that's burning billions of dollars producing LLMs.
If their robot was currently reliably capable of adequate performance at Tic Tac Toe, it absolutely would be exhibiting that behavior.
But I have a different challenge for you: train a human to play tictactoe, but never allow them to see the game visually, even in examples. You have to train them to play only by spoken words.
Point being that tictactoe is a visual game and when you're only teaching a model to learn from the vast sea of stream-of-tokens (similar to stream-of-phonemes) language, visual games like this aren't going to be well covered in the training set, nor is it going to be easy to generalize to playing them.
- but tokens are not letters - but humans fail too - just wait, we are on an S curve to AGI - but your prompt was incorrect - but I tried and here it works
Meanwhile, their claims:
- LLMs are performing at PhD levels. - AGI is around the corner - humanity will be wiped out - situational awareness report
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