Shouldn’t it be Nucleus since they are Hooli?
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.
Does their CEO have a signature that looks like a penis?
Almost guaranteed.
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.
It begins in the first season.
I miss the thinking of the Moonshots whatever those were called.
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.
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.
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.
Okay, but did Google calculate how many dicks they could jerk off for maximum efficiency?
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.
Someone already done a paper on it:
Abstract A probabilistic model is introduced for the problem of stimulating a large male audience. Double jerking is considered, in which two shafts may be stimulated with a single hand. Both tip-to-tip and shaft-to-shaft configurations of audience members are analyzed. We demonstrate that pre-sorting members of the audience according to both shaft girth and leg length allows for more efficient stimulation. Simulations establish steady rates of stimulation even as the variance of certain parameters is allowed to grow, whereas naive unsorted schemes have increasingly flaccid perfor- mance.
Yes it was part of their quarterly circlejerk.
That’s the earnings report
This should come in handy for the recently projected need for 300 GB RAM* in upcoming self-driving cars.
*Not a typo. 😳
What’s its Weißman score?
