[wnevets]

>So, do I think that human pro players would defeat an OpenAI trained on the full unrestricted game in a best-of-three match? No, almost certainly not, but I do suspect that the humans would win in, say, a best-of-seven, if they had the full suite of tools available to allow them to discover and adapt to what I see as fundamental shortcomings of the AI.

For now.

[Crespyl]

I'm optimistic that we'll figure out a solution in the long run, but I have yet to be convinced that any modern machine learning architecture will be able to get us there.

In essence, all of these game-playing models are playing by "instinct" (and playing very, very well), but still lack the ability to "jump out of the loop" to critique and adjust their own behavior on the fly. This is why the AlphaStar agent was vulnerable to being manipulated by the human players drop-harassment, and I believe OpenAI will demonstrate similar weaknesses once it opens to the public this week.

Machine learning has opened up all kinds of incredible advances that we can apply to the real world (see Boston Dynamics locomotion, or OpenAI applying the approach in their Dactyl robot hand project), but machine learning alone can't take us to general AI and I suspect it will always remain susceptible to this kind of deliberate manipulation.