this post was submitted on 27 Mar 2026
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[–] apfelwoiSchoppen@lemmy.world 22 points 2 days ago (3 children)

Shouldn't it be Nucleus since they are Hooli?

[–] cecilkorik@lemmy.ca 13 points 2 days ago* (last edited 2 days ago) (2 children)

No, that is what it would be if we were using traditional, deterministic compression and using a reversible and verifiable mapping of data. But this is the new era of memetic compression, "Pied Piper" is what everyone remembers from the show, so we compress it to "Pied Piper" to minimize the amount of memetic overhead and allow the smallest possible compression artifact. Like with "AI", it doesn't need to be correct, just close enough for people to think it is! /s

[–] apfelwoiSchoppen@lemmy.world 7 points 2 days ago (1 children)
[–] smiletolerantly@awful.systems 8 points 2 days ago

It should be Dot Dot! But it's Dot Dot Dot! - sanest Bitchard moment

[–] tabular@lemmy.world 2 points 2 days ago

Smaller PP.

[–] uuj8za@piefed.social 6 points 2 days ago (1 children)

Yes, it should be Nucleus. Them calling it PiedPiper is a propaganda campaign to try to earn good will from people. Fuck Google locking down Android.

[–] hopesdead@startrek.website 1 points 2 days ago* (last edited 2 days ago) (1 children)

Does their CEO have a signature that looks like a penis?

[–] apfelwoiSchoppen@lemmy.world 1 points 2 days ago

Almost guaranteed.

[–] hopesdead@startrek.website 1 points 2 days ago (1 children)

Sure but didn’t the plot line with Nucleus come in a later season?

Secondly, I am pretty certain the Google logo was always in the opening credits.

[–] apfelwoiSchoppen@lemmy.world 1 points 2 days ago

It begins in the first season.

[–] AbouBenAdhem@lemmy.world 18 points 2 days ago (1 children)

TurboQuant, meanwhile, could lead to efficiency gains and systems that require less memory during inference. But it wouldn’t necessarily solve the wider RAM shortages driven by AI, given that it only targets inference memory, not training — the latter of which continues to require massive amounts of RAM.

I didn’t realize the RAM shortage was mostly due to training—I would have thought inference was at least a big a factor.

[–] Dran_Arcana@lemmy.world 7 points 2 days ago (1 children)

Inference is dirt cheap in comparison. Hundreds to thousands of concurrent users can be served by hardware costing in the high-thousands to low-ten-thousands.

Training those same foundational models is weeks to months of time on tens to hundreds of millions worth of hardware.

[–] AbouBenAdhem@lemmy.world 6 points 2 days ago (1 children)

Yeah—but in theory you only need to train once, while inference costs are ongoing and scale up with usage.

I guess it’s ultimately a business decision by AI companies to weigh how often retraining is worth the cost.

[–] JGrffn@lemmy.world 1 points 2 days ago

Yeah i don't think they ever stop training is the thing. At this point I'd assume they have multiple training pipelines to try different shit out, just queued up to hit the big farms as soon as the last models are done training.

Resting isn't a thing in capitalism.

[–] Deconceptualist@leminal.space 8 points 2 days ago (2 children)

Should be called Middle-Out? That was the algorithm IIRC. Pied Piper was the name of the startup.

[–] crystalmerchant@lemmy.world 1 points 2 days ago

Depends how many dicks you can jack off

[–] 4am@lemmy.zip 0 points 2 days ago

Too pedantic for normies

[–] darkkite@lemmy.ml 5 points 2 days ago

was published over a year ago

[–] hopesdead@startrek.website 4 points 2 days ago (2 children)

Okay, but did Google calculate how many dicks thet could jerk off for maximum efficiency?

[–] x00z@lemmy.world 1 points 2 days ago (1 children)

Yes it was part of their quarterly circlejerk.

[–] muffedtrims@lemmy.world 1 points 2 days ago

That's the earnings report

[–] spy@lemmy.dbzer0.com -1 points 2 days ago

Well that depends on a lot of factors. One of them being the distance of dick to floor of every one they would jerk. Call that D2F.

Hopefully they thought of it.

[–] Brewchin@lemmy.world 2 points 2 days ago

This should come in handy for the recently projected need for 300 GB RAM* in upcoming self-driving cars.

*Not a typo. 😳

[–] SalamenceFury@piefed.social 2 points 2 days ago* (last edited 2 days ago)

Funny thing that came with this: apparently Micron's stock fell off a cliff, and apparently so did RAM prices? Can't confirm that later one.

[–] jagermo@feddit.org 0 points 2 days ago

What's its Weißman score?

[–] goatinspace@feddit.org -2 points 2 days ago