The most underappreciated finding in applied AI this year fits in one statistic: a major framework team took the same model, changed nothing about it, rebuilt only the machinery around it, and watched their score on a leading agent benchmark jump from the low fifties to the mid sixties, vaulting from the middle of the pack into the top five. No...