Miaou

joined 2 years ago
[–] Miaou@jlai.lu 2 points 1 year ago

Fuck hospitals and end users then? The party losing the most here is certainly not ticketmaster

[–] Miaou@jlai.lu 13 points 1 year ago (2 children)

I can just as well say that the screenshot above is the top 0.5% pushed by people trying to sell the tech. I don't really have an opinion either way tbh, I'm just being cynical. But my own experience with those tools hasn't been impressive.

[–] Miaou@jlai.lu 1 points 1 year ago

Well the ones from France don't seem to do much, maybe the other ones are worse

[–] Miaou@jlai.lu 1 points 1 year ago

Ah I see thanks, I guess I need to learn more about pfas

[–] Miaou@jlai.lu 2 points 1 year ago

That guy's probably one of the biggest name in deep learning. Obviously he doesn't write all those papers himself, he supervises research, like all professors...

[–] Miaou@jlai.lu 21 points 1 year ago* (last edited 1 year ago) (1 children)

Anyone not knowing who LeCun has no idea about anything deep learning related.

[–] Miaou@jlai.lu 2 points 1 year ago

Je pense que c'était un commentaire sarcastique.

[–] Miaou@jlai.lu 41 points 1 year ago (1 children)

"They're not dumb, they're just worse at processing information than their other fellow humans."

[–] Miaou@jlai.lu 2 points 1 year ago (2 children)

I don't have the full article, do they mention Bayer? Téflon does its own fair share of damages

[–] Miaou@jlai.lu 5 points 1 year ago

People from a Teflon factory were protesting pfas ban in cookingware so you can add weak leadership on top of that

[–] Miaou@jlai.lu 1 points 1 year ago

I agree with your point, but you're arguing that noise can be redundant data. I am arguing that redundant data is not necessarily noise.

In other words, a signal can never be filtered losslessly. You can slap a low pass filter in front of the signal and call it a day, but there's loss, and if lossless is a hard requirement then there's absolutely nothing you can do but work on compressing redundant data through e.g. patterns, interpolation, what have you (I don't know much about compression algos).

A perfectly noise free signal is arguably easier to compress actually as the signal is more predictable.

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