Raster images do not need to be rendered - see Rendering:

Rendering is the process of generating a photorealistic or non-photorealistic image from input data such as 3D models…Today, to “render” commonly means to generate an image or video from a precise description (often created by an artist) using a computer program.

Note that “render” is a fairly generic term, and it is sometimes used like “render to the screen,” to just mean to display something. Rasterisation may be a better term to use here, since it only applies to vector graphics, and is the part of the process I am referring to.

In any case, except for possibly reading fewer bytes from disk, the vector case includes all the same compute and memory cost as the raster image - it just has added overhead to compute the bitmap. On modern hardware, this doesn’t take terribly long, but it does mean we’re using more compute just to launch/load things.

It’s also worth noting apps have to ship higher resolution assets now, due to higher resolution displays. This can include video, audio, images, etc. Videos and images may be included at multiple resolutions, to account for different sized displays.

For images, many might assume vectors are the answer, but vectors have to be rendered at runtime, which increases startup time in the best case scenario, and isn’t even always supported on all platforms, meaning they have to be shipped alongside raster assets of a few different sizes, further increasing package bloat. And of course the code grows to add the logic to properly handle all the different asset types and sizes.

All this (packaging dependencies, plus assets/asset handling) to say it isn’t always malware, ads, electron, etc. Sometimes it’s just trying to make something that looks nice and runs well (enough) on any machine.

Many apps ship both vectors and raster images. It is worth nothing that vectors save space, but increase compute (the image now has to be rendered at runtime), contributing to slower startup times.

I’ve had the same problem with HeliBoard learning garbage. I just changed my settings though, and I think it should help:

1. Open HeliBoard settings
2. Open Text correction settings
3. Scroll all the way to the bottom, and turn off “Add words to personal dictionary”

If you scroll all the way to the top again, you can manually manage the personal dictionary, including adding words you do want, and deleting any junk that was added by mistake, before switching that setting off.

Flanders is self employed - he owns the Leftorium. There’s a joke in this episode about not writing off the ink used to print receipts as a business expense, because he likes the way it smells. He can do his taxes when he wants.

Mario Kart was played for racing, and balloon battles. Diddy Kong Racing was all about Fire Mountain (the game where you capture the eggs).

In college, in my intro to Java class, I had a program I’d written that I was trying to show someone. Every time I ran it (in Eclipse) it crashed. It had worked earlier, but was then consistently crashing. Looked at the stacktrace, looked at the code… No issues I could spot. After quite a while of poking around, with the file reverted to its original state and still failing, I did a select all, cut, paste (into the same file), and it started working again.

Some people have posted pictures in the thread now, and it looks like you might be correct. Seems odd - the blowhole is analogous to a nostril. Sucking something against your nose a swimming seems like it would be uncomfortable.

Under water, with no hands, how are they getting the fish in place? And perhaps more difficult, how do they keep it there? Anyone aware of a video?

The president’s “official act” would be issuing the pardon. The referenced Supreme Court decision just means it would not be a “crime” for the president to issue said pardon, not that the pardon would stand.

The president can’t intervene at the state level. From americanbar.org:

A U.S. president has broad but not unlimited powers to pardon. For example, a president cannot pardon someone for a state crime.

This ignores the first part of my response - if I, as a legitimate user, might get caught up in one of these trees, either by mistakenly approving a bot, or approving a user who approves a bot, and I risk losing my account if this happens, what is my incentive to approve anyone?

Additionally, let’s assume I’m a really dumb bot creator, and I keep all of my bots in the same tree. I don’t bother to maintain a few legitimate accounts, and I don’t bother to have random users approve some of the bots. If my entire tree gets nuked, it’s still only a few weeks until I’m back at full force.

With a very slightly smarter bot creator, you also won’t have a nice tree:

As a new user looking for an approver, how do I know I’m not requesting (or otherwise getting) approved by a bot? To appear legitimate, they would be incentivized to approve legitimate users, in addition to bots.

A reasonably intelligent bot creator would have several accounts they directly control and use legitimately (this keeps their foot in the door), would mix reaching out to random users for approval with having bots approve bots, and would approve legitimate users in addition to bots. The tree ends up as much more of a tangled graph.

This ignores the first part of my response - if I, as a legitimate user, might get caught up in one of these trees, either by mistakenly approving a bot, or approving a user who approves a bot, and I risk losing my account if this happens, what is my incentive to approve anyone?

Additionally, let’s assume I’m a really dumb bot creator, and I keep all of my bots in the same tree. I don’t bother to maintain a few legitimate accounts, and I don’t bother to have random users approve some of the bots. If my entire tree gets nuked, it’s still only a few weeks until I’m back at full force.

With a very slightly smarter bot creator, you also won’t have a nice tree:

As a new user looking for an approver, how do I know I’m not requesting (or otherwise getting) approved by a bot? To appear legitimate, they would be incentivized to approve legitimate users, in addition to bots.

A reasonably intelligent bot creator would have several accounts they directly control and use legitimately (this keeps their foot in the door), would mix reaching out to random users for approval with having bots approve bots, and would approve legitimate users in addition to bots. The tree ends up as much more of a tangled graph.

I think this would be too limiting for humans, and not effective for bots.

As a human, unless you know the person in real life, what’s the incentive to approve them, if there’s a chance you could be banned for their bad behavior?

As a bot creator, you can still achieve exponential growth - every time you create a new bot, you have a new approver, so you go from 1 -> 2 -> 4 -> 8. Even if, on average, you had to wait a week between approvals, in 25 weeks (less that half a year), you could have over 33 million accounts. Even if you play it safe, and don’t generate/approve the maximal accounts every week, you’d still have hundreds of thousands to millions in a matter of weeks.

If your drive is the bottleneck, this will make things worse. If you want to proceed:

You’re already using ffmpeg to get the sequence of frames, correct? You can add the -ss and -t flags to give a start time and a duration. Generate a list of offsets by dividing the length of video by the number of processes you want, and feed them through gnu parallel to your ffmpeg command.

My first thought was similar - there might be some hardware acceleration happening for the jpgs that isn’t for the other formats, resulting in a CPU bottleneck. A modern harddrive over USB3.0 should be capable of hundreds of megabits to several gigabits per second. It seems unlikely that’s your bottleneck (though you can feel free to share stats and correct the assumption if this is incorrect - if your pngs are in the 40 megabyte range, your 3.5 per second would be pretty taxing).

If you are seeing only 1 CPU core at 100%, perhaps you could split the video clip, and process multiple clips in parallel?

it doesn’t unravel the underlying complexity of what it does… these alternative syntaxes tend to make some easy cases easy, but they have no idea what to do with more complicated cases

This can be said of any higher-level language, or API. There is always a cost to abstraction. Binary -> Assembly -> C -> Python. As you go up that chain, many things get easier, but some things become impossible. You always have the option to drop down, though, and these regex tools are no different. Software development, sysops, devops, etc are full of compromises like this.

“Desktop publishing” is the category of software you want. I’ve not used it, but I believe Scribus is the standard FOSS tool for this. If you want a simple graphical way to make your album, this is the way.

Many people have metnioned LaTex - I would not recommend it for this purpose. LaTex, while powerful, will have a steep learning curve, and isn’t really made for artistic tasks - its purpose is for writing technical papers. From literally the first two sentences on the project site:

LaTeX is a high-quality typesetting system; it includes features designed for the production of technical and scientific documentation. LaTeX is the de facto standard for the communication and publication of scientific documents.

It’s probably possible to make a beautiful photo album with LaTex, but without a lot of work, it’s more likely to come out looking like a calculator manual.

I think it is less a question of whether the voice sounds like Scarlett Johansson, as that is subjective and arbitrary (e.g. assume you could objectively measure the similarity, what’s the acceptable cut off - 80%? 90%?). The same is true for the uniqueness of her voice.

I think the real question will come down to intention. They clearly wanted her voice. Did they intentionally attempt to replicate it when they couldn’t have the real thing? If so, there is precedent that would suggest they could be in a little trouble here, e.g. https://www.latimes.com/archives/la-xpm-1990-05-09-me-238-story.html

This kind of reminds me of Crispin Glover, from Back to the Future. He tried to negotiate a higher pay for the second movie, so the producers hired a different actor to play the role, but deliberately made the actor up to look like Glover. In response, Glover sued the producers and won. It set a critical precedent for Hollywood, about using someone’s likeness without consent.

The article mentions they reached out to her two days before the launch - if she had said ‘OK,’ there’s no way they could have even recorded what they needed from her, let alone trained the model in time for the presentation. So they must have had a Scarlett Johansson voice ready to go. Other than training the model on movies (really not ideal for a high quality voice model), how would they have gotten the recordings they needed?

If they hired a “random” voice actress, they might not run into issues. But if at any point they had a job listing, a discussion with a talent manager, or anything else where they mentioned wanting a “Scarlett Johansson sound-alike,” they might have dug themselves a nice hole here.

Specifically regarding your question about hiring a voice actor that sounds like someone else - this is commonly done to replace people for cartoons. I don’t think it’s an issue if you are playing a character. But if you deliberately impersonate a person, there might be some trouble.