GamingChairModel

joined 3 years ago
[–] GamingChairModel@lemmy.world 1 points 49 minutes ago

Yes, but I bring it up for the specific example of using our own eyes to achieve this effect, rather than relying on a camera. We don't have a choice to change the focal length of our own eyes, or even crop the image, but the effect is still there.

[–] GamingChairModel@lemmy.world 1 points 54 minutes ago (1 children)

Focal length equivalent assumes a 35mm sensor or film format. 50mm on 35mm is basically the human range of view (although human eyes are interesting in that our resolution is so much sharper in the middle of the sensor than on the edges, and there's significant variation between individuals.

But the important part is that it isn't actually focal length that makes the effect. It's distance from the camera. If you do a dolly zoom with a fixed focal length lens, where you still push or pull the camera towards or away from a subject, you can still see this effect on the nose and the ears.

A flat, two dimensional representation of a three dimensional object will always have distortion. The effect we see here is about distortion that changes with camera distance, and the change itself is what makes things feel strange.

[–] GamingChairModel@lemmy.world 5 points 21 hours ago (2 children)

Technically focal length doesn't matter directly, only indirectly, because the phenomenon is almost entirely defined by the distance from the camera and the subject. If you have a 50mm lens and take the photo as far away as the 200mm lens, the person will look roughly the same when cropped down to the same apparent size (minus the loss of resolution from cropping and a smaller effective sensor size).

If you slap on a 200mm lens on a camera within 2 meters of your subject, though, you might not be able to focus, and if you can you wouldn't be able to fit their entire face in frame.

But that also means our eyes, with our fixed focal lengths, can experience the same thing, by just moving closer or further away from a subject. Our visual cortex automatically adjusts a lot of things, but get up close and see someone's ears or hair shrink in relative terms compared to their nose, or get far away and see their nose get back to a normal ratio to their eyes or ears.

Side note, this is a big reason why I don't care for selfies. I don't like the distortion.

[–] GamingChairModel@lemmy.world 0 points 1 day ago (1 children)

The day is the number I want to know most of the time. Day, month, year, in order of which number you most likely need to know first.

No, getting the year wrong by 1 is much more significant than getting the day wrong by 1. If you're arguing that it won't happen because people will infer from context the correct year, then you're actually assuming that the person already does know the year first. The only reason why people don't state the year is because it is already known by the listener. But just because it's unstated doesn't mean that it isn't critically important.

If you're measuring duration, for example, you will put the largest unit first. The longest serving prime minister of the UK served for 20 years and 315 days. Magellan's expedition around the lasted 2 years, 11 months, and 16 days, if you count from Sanlúcar de Barrameda. The course record for the Iditarod race is 7 days, 14 hours, 8 minutes, and 57 seconds.

And some languages are more irregular than others about numbers. In English, we say "sixteen" where the ones digit is said before the tens digit. French has some base 20 naming conventions that screw up the order, too.

But when we write numbers, we go left to right, largest to smallest. That's why describing time should follow the same convention, and why ISO 8601 exists.

[–] GamingChairModel@lemmy.world 1 points 1 day ago* (last edited 1 day ago) (1 children)

You're using the word "significant" in a colloquial/informal way, but in terms of the strict mathematical definition, most significant digits to least significant is about the size of the unit. If you were to create a dial system, the most significant digits move the slowest and the least significant digits move the fastest.

Or, if you are rounding a measurement to the N most significant figures, you are by definition keeping the largest units and rounding off the rest.

So ISO 8601 properly orders it left to right, largest to smallest, without exceptions. It can be truncated for lower precision, like how 2026-09-14T20:15:35 takes place in a particular year (2026), or a particular calendar month (2026-09) or a particular day (2026-09-14).

It's the best format and everyone should use it.

[–] GamingChairModel@lemmy.world 24 points 4 days ago

It's kinda shocking that people can't seem to detect pretty obvious satire.

[–] GamingChairModel@lemmy.world 13 points 1 week ago (2 children)

There just wasn't really user-submitted content back then. If you wanted to post something on the internet, you had to create a website.

There were tools that made a website a bit easier to create (most notably Geocities), but it was still a fairly technical task to simply get text that you typed show up on a website accessible to all.

Simply being able to reply to someone else? That wasn't really on the web, although by 2001 there were a few attempts to bring that kind of forum functionality to the broader web on actual http/www webpages (when it was previously on Usenet and BBSes and mailing lists and the technologies known as the internet before and separate from the world wide web). vBulletin was the popular one, and I think phpBB was fairly popular, too, but those projects started in 2000 and weren't that popular in the first years. Web hosts actually offering a full blown LAMP stack (Linux, Apache, MySQL, PHP) for hosting, and the technical skills to administer that kind of service, even on free software, was a pretty big hurdle to adoption before 2003 or so.

In 2001, almost all of the web was static content, with no method of interacting with the content other than simply viewing it. You'd click on links to retrieve another piece of content. By 2005 the web 2.0 revolution was underway, and websites had become interactive, with dynamic content drawing from relational databases under the hood. But in 2001? No, the web was pretty static.

Your description of the rise of the social algorithms is part of the story since 2010, but even that leaves out the period of time in between.

[–] GamingChairModel@lemmy.world 3 points 1 week ago (1 children)

HTML / JS is still a buggy pile of slop.

In what world is JavaScript considered buggier than Flash, either in the actual content in the wild or the client-side software rendering/running that content? It wasn't true when Flash died and certainly isn't true today.

Flash was a security nightmare, with all sorts of kludges patched on to try to deal with fundamental flaws in how it handled privileges. If you want to go back to the days where zero click exploits can take over your machine just from a browser visiting the wrong URL, leave the rest of us out of that vision.

The current web experience is complete garbage in comparison.

Mm, and what makes you think that handing Adobe the keys to control everyone's web experience would make it better?

Apple's Safari supports still images in JXL.

Perhaps more notably, Apple's iPhone ProRaw supports JXL encoding for its raw sensor data. They're laying the groundwork for JXL to be a supported format from the point of capture at the camera, through all the processing to make an image for web publishing or whatever.

[–] GamingChairModel@lemmy.world 15 points 1 week ago

The killer feature is that JXL is better in that it can losslessly encode JPEG further, and the overwhelming majority of the legacy image files that people have are JPEG. That alone should justify its support, because there are a lot of files out in the world where the highest quality, closest to "original" quality file is stored in JPEG format. A format that allows for the further compression with zero loss of quality from those originals is really important.

And the other thing this article (and a lot of the discussion around JXL) chooses not to cover is how JXL is a good format outside of just web images. It's not just looking to replace JPG/PNG/webp. It's also looking to replace raw photography formats like DNG, TIFF, and other formats that are used for full workflows from image capture from the imaging sensor itself, from cameras to scanners to medical imaging.

If JXL succeeds at becoming the dominant raw capture format, the entire workflow of processing those raw images into exported web-friendly images will favor JXL for photography.

[–] GamingChairModel@lemmy.world 12 points 1 week ago (1 children)

No, you've got it all wrong. Flash was buggy and insecure proprietary software written for proprietary OSes. I'm glad it died, after several years of trying to fight its normalization on the web, where you'd need to install shitty plugins like gnash on Linux to try to see the same web that people were seeing on Mac or Windows.

The web should always be built on open standards, and Flash was the biggest barrier to that ideal at the time that iPhones came out. Flash deserved to die, and I celebrated when it did.

Microverse battery

 

In recent years, I've seen people use projectors at night to protest policies: projecting slogans, images, etc., using a normal projector against the wall of the target of a protest (embassies, government buildings, prisons/detainment facilities, corporate headquarters, etc.).

Here's an example, but I've seen lots of other examples. And even outside of protest, people have been doing ridiculous things with 3D projection, like this guy animating a hotel cuck chair (SFW).

This got me to thinking: if the image recognition of Flock and similar cameras is just an AI image recognition function (using ImageNet or something like that) being run on captured video, what's stopping people from projecting false data onto streets and sidewalks in a way that tricks the Flock camera into recording false people/vehicles in places where there was no person/vehicle? Including fake license plates, etc.?

Seems like an attack vector for some kind of denial of service attack, like putting fake faces and license plates all over.

Is there anyone doing this? Would it be possible, at least at night, for certain camera locations and angles?

 

(Note: McSweeney's is a satirical publication)

 

I've read some of Ed Zitron's long posts on why the AI industry is a bubble that will never be profitable (and will bring down a lot of companies and investors), and one of the recurring themes is that the AI companies are trying to capture growing market share in an industry where their marginal profits are still negative, and that any increase in revenue necessarily increases their costs of providing their services.

But some of the comments in various HackerNews threads are dismissive, saying that each new generation of models makes the cost of inference lower, so that with sufficient customer volume, the companies running the models can make enough profit on inference to make up for the staggering up-front capital expenditures it took to build out the data centers, train their models, etc.

It's all pretty confusing to me. So for those of you who are familiar with the industry, I have several questions:

  1. Is the cost of running any given pretrained model going down, for specific models? Are there hardware and software improvements that make it cheaper to run those models, despite the model itself not changing?
  2. Is the cost of performing a particular task at a particular quality level going down, through releases of newer models of similar performance (i.e., a smaller model of the current generation performing similarly to a bigger model of the previous generation, such that the cost is now cheaper)?
  3. Is the cost of running the largest flagship frontier models going down for any given task? Or does running the cutting edge show-off tasks keep increasing in cost, but where the companies argue that the improvement in performance is worth the cost increase?

I suspect that the reason why the discussion around this is so muddled online is because the answers are different depending on which of the 3 questions is meant by "is running an AI model getting cheaper over time?" And the data isn't easy to synthesize because each model has different token prices and different number of tokens per query.

But I wanted to hear from people who are knowledgeable about these topics.

 

Curious what everyone else is doing with all the files that are generated by photography as a hobby/interest/profession. What's your working setup, how do you share with others, and how are you backing things up?

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