OpenAI says it’s impossible to create useful AI models without copyrighted material.
That's their defense?!
"Your honor, it would be impossible for me to do what I want to do without breaking laws, so it must be OK."
Funny how some folks who think theory has some magical properties readily dismiss bona fide engineering and empirical science as alchemy.
Blind trust in theoretical results that turned out to be irrelevant is a major reason why neural nets were dismissed between 1995 and 2010.
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https://t.co/KxmLvsxx5e
from left to right:
- tensor tony: got his name from smuggling A100s into NY and NJ ports. if you need compute, TT's your man, (just don't ask where they came from)
- Kev: singlehandedly responsible for using trading algos to pump Gamestop in 2021. charged with 5 counts but lawyers did they thing
- shkreli: yallready know
- wookie: muscle of the crew but don't let that fool you, homie caused a blackout at MDC using nothing but a raspberry pi
- snoop: the pytorch purist, don't even mention tensorflow around this dude less you wanna catch a CUDA core to the dome
- bubbles: did a nickel up in sing sing, just got out. bro barely touched fresh air and he's already got a cluster running in the projects paid for by NYC energy grants
yall heard nothing tho
I have my first working C++ NLL borrow checker tests.
Use the ^ (shared) and ^^ (mut) borrow types. The "no mutable aliasing" rule is enforced at compile time.
The birth of Memory Safe C++!
@tcarpenter216 Switching languages constantly is mind-bending. And zero-based indexing versus one-based indexing is yet another thing to worry about ...
There's an extremely interesting conversation going on in Python right now around the future of performance.
It's centered on @colesbury's PEP 703, which makes the GIL optional (to be removed entirely in the future), but comes at a cost.
Here's my summary...
Daily statistics reminder:
you are assuming independence somewhere. It’s a very powerful assumption and I doubt statistics as a field could exist without it. However, that assumption is likely far more concerning than any choice of marginal distribution (eg Gaussian)