Current AI evaluation frameworks are deeply flawed—measurement methodologies lack rigor, assessment results frequently miss the mark, and ranking systems often miss the nuance. Labs tend to optimize narrowly for these benchmarks, yet the actual outcomes don't translate. Regardless, AGI remains inevitable. ASI isn't some distant theoretical endpoint anymore—expect meaningful progress on that front within the next twelve months.