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Re:The End of AI Frontiers by dragonwriter on Saturday November 07, 2026 @03:26PM (#50407742)
Its not a bad thing, but exploratory research as opposed to reaearch that finetunes along a path already paved by exploratory research is something that doesn’t usually happen much in for-profit product-oriented firms when there is such a path available; it happens in academia and corporate labs pick it up once it reaches the point where the basics show commercial promise. CS is a little bit of an exception because the capital cost of basic research isn’t, proportionally, as high, and because the promise-to-product path is often short enough that having done the basic work in house can be a meaningful advantage in getting to market first (though, see Google on much of modern AI for a counterexample).

But even in computing, when there is a promising way forward that the basic reaearch has been done on, its hard to justify side quests.

Re:The End of AI Frontiers by pyrale on Saturday November 07, 2026 @04:21PM (#50408178)
> CS is a little bit of an exception because the capital cost of basic research isn’t, proportionally, as high, and because the promise-to-product path is often short enough that having done the basic work in house can be a meaningful advantage in getting to market first (though, see Google on much of modern AI for a counterexample)

...And because they have monopoly money. Basically, research labs are usually vanity spending for corporations with too much money. Xerox parc was funded by a monopoly. Bell labs was funded by a monopoly. Google funds its moonshots with its monopoly.

Re:The End of AI Frontiers by robotresearcher on Saturday November 07, 2026 @06:23PM (#50409008)
Bell and Xerox became powerful because they invented game-changing technologies. They were fundamentally research-based organizations from the start.
Re:The End of AI Frontiers by bigfatkitten on Saturday November 07, 2026 @04:23PM (#50408185)
Those exploratory "side quests" in industry are how we got the transistor, the liquid crystal display, Shannon's information theory, the laser and practical photovoltaic cells, among many other foundational technologies upon which we rely today.
Re:The End of AI Frontiers by WalterBright on Saturday November 07, 2026 @05:08PM (#50408520)
Jet engines, too.
Re:The End of AI Frontiers by publlus_enigma on Saturday November 07, 2026 @07:43PM (#50409469)
Blue LEDs too, which have transformed lighting and displays.
Re:The End of AI Frontiers by catlifeonmars on Saturday November 07, 2026 @08:07PM (#50409604)
[delayed]
Re:The End of AI Frontiers by bitwize on Saturday November 07, 2026 @08:40PM (#50409756)
And then they made back 200x the operating expenses of the lab (Xerox PARC) they came from over its entire lifetime.
Re:The End of AI Frontiers by RetroTechie on Saturday November 07, 2026 @04:47PM (#50408346)
> and corporate labs pick it up once it reaches the point where the basics show commercial promise.

How does that work when the research team moved elsewhere? Re-hire talent? That takes time - the 1 thing you don't have in a fast-moving field like AI. Post sums it up nicely:

"Do the math—how much is it worth to halve training and inference cost given that the industry has investments approaching a trillion dollars?"

How much is these researchers' salaries, compared to what MSFT spends on compute? Chances are it's peanuts in comparison.

Re:The End of AI Frontiers by lovich on Saturday November 07, 2026 @08:20PM (#50409661)
Yes but you forget that spending on compute is spending on machines that the company owns while spending on researchers is spending on other apes that trigger the social hierarchies of executives brains and who have the dreaded key word of “rights”

Companies will try to ruthlessly rid themselves of labor as long as those members of labor have agency and rights.

If someone disagrees they can convince me by explaining why a company wouldn’t choose to spend X on a machine they wholly own vs X on an employee they don’t.

There’s some room for argument that employees can do more than machines can but in the current AI zeitgeist arguing that we have machines with equivalent to human intelligence I don’t see how you wouldn’t see this coming if you believed the zeitgeist.

Re:The End of AI Frontiers by RetroTechie on Sunday November 08, 2026 @08:29AM (#50413162)
If compute:people were roughly equal spend, I'd agree with that thinking. But we all know AI's 100s of billions $$ spend is on datacenters+GPUs, not people.

In a way this suggests that MS doesn't aim to be a leader in AI <the core tech>. Only in its applications + related services (read: profit to be had there).

Nothing wrong with that btw. But understandable that fundamental researchers then pack up & leave.

Re:The End of AI Frontiers by vlovich123 on Saturday November 07, 2026 @06:04PM (#50408901)
Remind me again where the transformer comes from?
Re:The End of AI Frontiers by grumbelbart on Sunday November 08, 2026 @02:19AM (#50411120)
Or residual networks / connections.
Re:The End of AI Frontiers by eli_gottlieb on Saturday November 07, 2026 @07:39PM (#50409452)
> it happens in academia and corporate labs pick it up once it reaches the point where the basics show commercial promise.

Ah, well, good thing we've almost entirely defunded academic science.