[freilanzer]

My immediate question would be whether this algorithm occurs in the training data; I'm fairly certain it does. If it doesn't then it's quite interesting it's able to 'parse' the steps from the description without losing its train of 'thought'. Even if it does, learning the algorithm from this description and applying it correctly is interesting...

[credit_guy]

> learning the algorithm from this description and applying it correctly is interesting...

I find even more interesting that ChatGPT made mistakes, but it made them in almost a human-like way: it said

  (1.1728 - 1)^2/2 = 0.0276 

when in reality it is 0.0149. The mistake is not big though (about 0.012) so the final result is not impacted by much.

Finally, the last statement ("the exact value of 5.4553") is simply bull. The exact value is 5.4577.

[freilanzer]

Yeah, but I didn't expect perfection. Simply getting this close is very interesting imo, even if it does not know the exact value. More parameters might have an even better effect.