I said what you said verbatim out loud after I also spoke aloud the top comment, wild

Thanks for bringing up a point to continue the conversation, unfortunate you’re getting downvoted with only sarcastic disagreement to go on. I disagree, but only on a point of nuance – ideally that financial incentive improves the quality of mod offerings, and in some cases it does (I’ll take your word on Assetto Corsa mods). But I’d say it’s still a net-negative on the whole because then the financial incentive becomes the goal, not a quality mod. It also gives the parent company control over visibility, so they’ll promote the mods that get them the biggest cut, which inevitably will be the shiniest ones and not necessarily the ones that actually improve the game, then passionate creators get disheartened and leave.

All conjecture – I’m not super active in any modding scene, my only experience is hitting the 256 mod limit in Skyrim a long time ago.

I roll them down to make a decorative ankle donut that looks great over my crocs

Made in Abyss vibes

refract*

Considering freezer storage tessellation as a deciding factor in your storage container shapes feels like putting theory way ahead of practice. But I still want them.

Why not delete the comment and respond to the right person? Not that you should at this point, but it would have taken less time than explaining it in an edit so I’m curious

What would be extremely rock and roll-- punk rock, even – is donating all of the proceeds from that show to pro-union efforts.

#DonateItDave, or something

I’m here to support.

Count #1: Guilty

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Count #34: Guilty

The mishandling is indeed what I’m concerned about most. I now understand far better where you’re coming from, sincere thanks for taking the time to explain. Cheers

Thanks for the response! It sounds like you had access to a higher quality system than the worst, to be sure. Based on your comments I feel that you’re projecting the confidence in that system onto the broader topic of facial recognition in general; you’re looking at a good example and people here are (perhaps cynically) pointing at the worst ones. Can you offer any perspective from your career experience that might bridge the gap? Why shouldn’t we treat all facial recognition implementations as unacceptable if only the best – and presumably most expensive – ones are?

A rhetorical question aside from that: is determining one’s identity an application where anything below the unachievable success rate of 100% is acceptable?

Arguably the same thing that happened in Robin Hood, so

Can you please start linking studies? I think that might actually turn the conversation in your favor. I found a NIST study (pdf link), on page 32, in the discussion portion of 4.2 “False match rates under demographic pairing”:

The results above show that false match rates for imposter pairings in likely real-world scenarios are much higher than those from measured when imposters are paired with zero-effort.

This seems to say that the false match rate gets higher and higher as the subjects are more demographically similar; the highest error rate on the heat map below that is roughly 0.02.

Something else no one here has talked about yet – no one is actively trying to get identified as someone else by facial recognition algorithms yet. This study was done on public mugshots, so no effort to fool the algorithm, and the error rates between similar demographics is atrocious.

And my opinion: Entities using facial recognition are going to choose the lowest bidder for their system unless there’s a higher security need than, say, a grocery store. So, we have to look at the weakest performing algorithms.

What is a question of analogues?

“Although the water provided to the third party is still being paid for, the water previously provided to the third party for which that third party had not paid remains unpaid and the incentive to pay that debt is reduced,” Court of Appeals Judge John Melanson wrote for a unanimous court. “This threatens the city’s ability to provide low-cost water services.”

“We depend on fining disadvantaged people for revenue and you will not threaten that.”

I like the idea of some numbers being popular hand gestures.

4 - Fuck you; 17 - Shaka (hang loose); 18 - Metal horns; 19 - “I love you”; 132 - Double fuck you

Pizza with mushrooms, green peppers, beef, crab meat, and oysters from the can

looking at image And cheese, right?

…

…and cheese, right?

I use 8! My mom called me ridiculous for doing that :(

Yeah I got the impression it was a recoverable condition after a search found a bunch of guides for “unbricking” (Android phones). Semantics are the true enemy it seems

So then it didn’t run after the car wash – unless we’re ignoring the mandatory steps needed to get it working again, the headline is pretty accurate. Or are you considering “bricked” a permanent condition?