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submitted 2 years ago by [email protected] to c/[email protected]
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[-] [email protected] 55 points 2 years ago* (last edited 2 years ago)

This comment sums it up pretty nicely:

LOL innovative invention of swapping memory to storage…… maybe they can call it something cool like “cache”.

Apple being "innovative" my ass, lmao

[-] [email protected] 17 points 2 years ago
[-] [email protected] 2 points 2 years ago

How bow dat?

[-] [email protected] 12 points 2 years ago

Well, if that commenter had more than just a vague idea of caching and/or swapping, they would know that the right algorithm can make or break performance.

That paper is not “we invented caching”, but “this is how we make some certain models work well despite constraints imposed by RAM and flash storage.”

It’s a worthy job for an engineer or researcher. Not quite as innovative as the invention of the wheel, but still enough to write a paper on (and read it, if you can manage to understand it).

[-] [email protected] 10 points 2 years ago

The easiest way to tell that something's not really innovative is if the person describing it uses the word innovative.

[-] [email protected] 4 points 2 years ago

Can you give an example of something that actually was innovative, that no-one called innovative?

[-] [email protected] 4 points 2 years ago
[-] [email protected] 0 points 2 years ago

Interestingly, it looks as if nothing was really called innovative before 1960, with usage peaking in 2000, and its now in decline

https://www.etymonline.com/word/innovative

[-] [email protected] 1 points 2 years ago

Peaking in 2000 seems odd - I see or hear that word daily and that definitely wasn't the case back in 2000. Interesting!

[-] [email protected] 0 points 2 years ago
[-] [email protected] -2 points 2 years ago

35 upvotes in the technology community…man you guys really are just all knee-jerk reactionaries and it really knowledgeable tech at all. git gud

[-] [email protected] 26 points 2 years ago* (last edited 2 years ago)

Everyone likes to trash machine learning because the power requirements are high, but what they don't realize is that we're in the very first days of this technology (well, first couple decades of the technology being around, first few years of it being advanced enough to have anything to show off). Every technology that got bundled together into your phone was equally as useless when it was first invented. Honestly, compared to the development of most other technologies I've looked at, the pace of development in AI has been shocking.

Literally once a week, I see some news story about AI researchers delivering an order of magnitude speedup in some aspect of AI inference. The technique described here apparently allows for a 20x speedup on GPU's.

[-] [email protected] 15 points 2 years ago
[-] [email protected] 19 points 2 years ago

Huhum..?

Still working on that…

I’m sorry, try again later.

[-] [email protected] 3 points 2 years ago
[-] [email protected] 6 points 2 years ago

Found the following websites about you’re triggering me lol.

[-] [email protected] 4 points 2 years ago

Sigh! [unzips] Go ahead...

[-] [email protected] 3 points 2 years ago

Tbh I'm more excited to see someone do use webnn, webgpu and petals together. Building smaller tighter models is good too.

[-] [email protected] 1 points 2 years ago

I don't understand the innovation, I already run LLMs and stable diffusion on a laptop from 2011.

I have no doubt it could be run on my Android phone.

this post was submitted on 21 Dec 2023
58 points (79.0% liked)

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