Mike Knoop
speaker
927 appearances
4 recordings
1 series
first heard Mar 2025
last heard 18 Nov
Mike Knoop’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Nov 2025 with 1.
Appearances
And so still providing some interesting, useful something, even though you know it's lar largely saturated, up to eighty percent now.
Uh but there's there's still some interesting ri signal remaining.
Um v2, our expectation was that it was not gonna survive as long as v1 just because it was the same domain um and we had AR reasoning systems in play at that point.
Um yeah, I think our median estimate was like 24 months on V2, but like that, yeah, we'll we'll have to see how that all plays out next year with that.
V three, we're hoping to put in a uh we're hoping to be in an environment where we can actually get that to survive sort of longer.
Um, you know, what one of the interesting things we're finding with V one to V two, V to V three in a in sort of like a qualitative sense is
Um
Th there's there's a there's a there's a sense of like how easy is it for us to generate the data set?
As like humans trying to design the tasks and design the puzzles and design the games.
And with V1, pretty much every like task that like Francois created um was hard for AI and easy for humans.
With v2, that gap got a little shorter, actually, got smaller.
Um there were tasks that we generated as humans that um AI.
um solved and there was other ones that eat were too hard for humans.
And so we ended up sort of pruning some of the tasks that we generated.
So like the the gap between those things got short.
With V three, we're finding it's getting wider again.
Where pretty much every game we're coming up with is like fitting into this paradigm of like very obvious and intuitive and easy for humans and sort of very hard for frontier AI still.
Um, and I think that's like
Uh this uh credit to Francois here.
You know, this is something he shared about a year ago with a what oh three, but he's like this is actually one interesting way you could characterize how close are we to AGI is like w when we run out of when humans run out of the ability to generate interesting things that Frontier AI can't solve, yeah.
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