I've been sitting here trying to do sleepy morning train commute maths.
1billion scans per month, 50,000 scanners worldwide (!). 1 minute scan time. Lowers platform at 5cm/cm. FTA.
Globally, apparently in 2023 there were 250,000 spas worldwide. [0]
Their numbers would suggest these 1 billion people, getting scanned by 50k scanners, have each scanner doing 20k scans a month. 31 days, 24 hours, we have 744 hours in which to do these. That's 20k scans/744 hours, giving you 26.8 scans/hour. One scan'll be 2.2min. 2 minutes 14 seconds.
If this machine is 200cm big, lowers at 5cm a sec, that gives you 40seconds to lower. One minute to scan. 40 seconds to get you back up, presumably. Even if we're generous and double that, you're at 2 minutes just to lower, scan, and yeet you back up.
Giving you 14 seconds between scans. To clean, maintain, etc. Seems like this machine will output investor AI hype, bacteria, and false positives.
I linked the spa statistics because there's the question of how they'll even get the room for these machines but whatever.
...I never found another person with the same experience. Here we are. For me though, it's not that sunlight makes it more noticeable, it's that I will see the same shades until I've had too much sunlight—eventually my left eye gets tired, I guess, and sees a lot less red than my right eye. After sleeping it resets and I see the same shade in both eyes.
Maybe i should talk to a researcher about this..
I'm struggling a bit when it comes to wording this with social decorum, but how long do we reckon it takes until there's AI powered adult toys? There's a market opportunity that i do not want to see being fulfilled, ever..
I think it's important to note—which isn't mentioned on their website at all, stupidly enough—that wero has two parts. The p2p payment, that you can see in the parent article. And the e-commerce functionality, which is based on the dutch iDeal. See https://sowieso.wero-wallet.eu/nl-en/
Kinda odd that their marketing does nothing to clarify this...
Thanks for the explanation! It makes a lot of sense that voxels would scale as badly as they do, especially if you want to increase resolution.
Am I right in assuming that the reason this scales a lot better is because the Gaussian splats, once there's enough "resolution" of them, can provide the estimates for how light works reasonably well at most distances? What I'm getting at is, if I can see Gaussian splats vs voxels similarly to pixels vs vector graphics in images?
Super cool to read but can someone eli5 what Gaussian splatting is (and/or radiance fields?) specifically to how the article talks about it finally being "mature enough"? What's changed that this is now possible?
As far as I read on Ladybird's blog updates, the issue is less the formalised specs, and more that other browsers break the specs, so websites adjust, so you need to take the non-compliance to specs into account with your design
Yeah they mention it in the article, most network connections are restricted. But not connections to anthropic. To spell out the obvious—because Claude needs to talk to its own servers. But here they show you can get it to talk to its own servers, but put some documents in another user's account, using the different API key. All in a way that you, as an end user, wouldn't really see while it's happening.
> Not to mention that a liar doesn't necessarily have to mean someone who tells a falsehood in every single statement.
FTA:
>Note: this question was originally set in a maths
exam, so the answer assumes some basic assumptions about formal logic. A liar is someone who only says false statements.
That's more a flaw of classification systems though. Because even if they comprise a distinct life form does not mean they need to have a unique species. Consider lichen, which comprise two (or more!) separate "species" which becomes a meaningless distinction when they cannot survive on their own, or even if they could, not in a form recognizable in any wayas they were when they were a part of the symbiotic system
Their numbers would suggest these 1 billion people, getting scanned by 50k scanners, have each scanner doing 20k scans a month. 31 days, 24 hours, we have 744 hours in which to do these. That's 20k scans/744 hours, giving you 26.8 scans/hour. One scan'll be 2.2min. 2 minutes 14 seconds.
If this machine is 200cm big, lowers at 5cm a sec, that gives you 40seconds to lower. One minute to scan. 40 seconds to get you back up, presumably. Even if we're generous and double that, you're at 2 minutes just to lower, scan, and yeet you back up.
Giving you 14 seconds between scans. To clean, maintain, etc. Seems like this machine will output investor AI hype, bacteria, and false positives.
I linked the spa statistics because there's the question of how they'll even get the room for these machines but whatever.
0-https://gitnux.org/spa-industry-statistics/