I’m not being ironic. I'm genuinely surprised people aren't more impressed - even reading the negative sentiment here.
Yes, Microsoft’s marketing is annoying, and yes, the models hallucinate. Yes, many products may be crap. Yes, maybe there's a bubble. But looking at the raw capability (as the exec refers to and what is also dismissed in many comments here), it is mind-blowing. If I hand the AI a proprietary piece of code with a subtle race condition and it finds the bug in seconds, many may dismiss it: "Oh, it probably just saw a similar pattern in its training data."
And so what? Even just being able to do this degree of very abstract and fuzzy comparison to a database of bugs is completely different league to whatever static analysis tools we had before. And I think the capabilities in generating new code based on a long list of requirements from many layers of domain precludes it is just 'auto correct' even through the sheer combinatorial explosion. At least it is auto correct in such a fuzzy sense that anything could be considered an auto correct or parrot with that measure. It seems it is mostly a comparison used as a coping mechanism.
The Exec is right about the scale of the leap. We went from "Snake on a Nokia" to a machine that can explain a complex regex or debug a kernel dump in conversational English. The fact that it isn't perfect doesn't mean it isn't a marvel of engineering.