The ARC-AGI-3 scorecard is extremely misleading given that it clearly states itself that "with [the responses API] harness, we estimate Sol would score in the ballpark of ~30%." but it shows a score of 7.8% for GPT-5.6 Sol presumably since if they updated the percentage for GPT-5.6 Sol to the score it would receive with the responses API harness they used for GPT-6 Astra they'd have to do the same for the percentage…
Watch a chess bot championship here: https://youtu.be/7g-jN3DTkWQ?is=HV3cdcICIRMbswQ3 Then realize LLMs have zero of what anyone would consider intelligence.
Which is strange because I’m sure it could give general advice about how to play better, it just doesn’t follow the rules it can enumerate. It also doesn’t seem to have spatial awareness.
I used to think LLMs couldn’t do Fibonacci for the same reason. They could write the code but not follow it. They can now follow a procedure to generate fib numbers but it seems to be memory limited.
So I don’t know why it can track fib algo, but no chess concepts.