The article is about a guy leaving Microsoft and the disbanding of an internal team called "AI Frontiers".
Re:The End of AI Frontiers
by joe_the_user on Saturday November 07, 2026 @01:42PM
(#50406874)
And gp's comment is relevant to the particular problems the guy (John Langford) cites in his comment about leaving. IE, that research first winds being only about scaling and then winds-up ignored because "just scale" can be an easier answer.
Yeah, I'm speaking to "scaling vs research" and where investment is going. Which is relevant to the article. Accelerating scale requires demand, closed frontier demand is what I'm questioning.
Re:The End of AI Frontiers
by senordevnyc on Saturday November 07, 2026 @03:45PM
(#50407881)
Do you think humanity is just going to run out of problems that need the smartest intelligence?
If so, then yeah, increasing efficiency 100x means we hit that point much faster.
If not, then it just means we make improvements 100x faster.
Re:The End of AI Frontiers
by kylestanfield on Saturday November 07, 2026 @04:09PM
(#50408091)
Everyone wants radically more efficient AI. That doesn’t mean it’s coming any time soon. And when models are twice as efficient, guess what happens next. We try making one twice as big for the same cost.
If they make more efficient models won’t people just use the big data centres to make and run even bigger more powerful models than they can currently support? Or massive swarms of agents to look at all different avenues of a problem?
I'm not sure how that, combined with open models inching up on frontier intelligence, is compatible with these massive AI IPO valuations?
It seems like closed model AI demand has a lot of contingencies that are ultimately fragile and possibly short sighted.