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you can't divide the apples among 0 people and then claim to still have them, because in that case you would have divided them among 1 people

Like everything in life, it depends... For example: Storage has 5 items that need to be processed. 5 items need to be split equaly between available processes. There are currently 0 available processes so 5 / 0 = 0 items to be processed is more correct than either 5 or Nan or infinity.

Your example is quite vague (e.g. are we dealing with an integer number of items and processes?) and in general if something looks kinda like a division it doesn't mean it is exactly division. Just like in math, we have the power to simply say: if COND -> divide normally, else -> do something else.

And that's why the answer is 0.

Live, laugh, love

Caring about the leaderboards is the problem. Are you (impersonal) seriously doing AoC for clout or something?

The primary reason to not care about AoC leaderboards is that that it penalizes people for being in the wrong time zone. That said, the top 100 or so contributors clearly do care about these things and using an LLM is cheating.

In particular the LLM cheating isn’t just by conjuring a solution: humans don’t get ASCII characters pumped directly into their brain, we have to slowly read problem descriptions with our eyes. It takes humans more than 9 seconds to solve AoC #1 purely because of unavoidable latency.


If people are concerned about leaderboards there are private leaderboards: https://adventofcode.com/2024/leaderboard/private

Personally I don't do it to compete, I just like puzzles.


I did it without AI last year and planning to do it again, for fun.

True. Leaderboards are and always have been full of cheaters.

The hearing... community?


Where is the problem here?

The real issue should be: Fedora/Debian/Ubuntu cater themselves to a very big audience and yet chose to set GNOME as the default


The 12MP will be used for better framing, there is still almost no use case for 4k quality video conferencing


It is truly sad how bad Zoom / Google Meet / Teams are when it comes to video quality.

I look at my local source vs the recording, and I am baffled.

After a decade of online meeting software, we still stream 480p quality it seems.


FaceTime has great quality. Unfortunately, as you age you start to hate the quality.


When I have a full team of people with 1080p webcams and a solid connection I can notice the quality. Most of the time not everyone fulfills those requirements and the orchestrator system has to make do


I mean you can easily create your own fully meshed P2P group video chat in your browser just using a little bit of JS that would support everyone running 4k, but it will fail the moment you get more than 3-8 people as each persons video stream is eating 25mbps for every side of a peer connection (or 2x per edge in the graph.)

A huge part of group video chat is still "hacks" like downsampling non-speaking participants so the bandwidth doesn't kill the connection.

As we get fatter pipes and faster GPUs streaming will become better.

edit: I mean... I could see a future where realtime video feeds never get super high resolution and everything effectively becomes a relatively seemless AI recreation where only facial movement data is transmitted similar to how game engines work now.


I'm not asking for 4k.

I am asking for good 720p... With how static cam footage is it would be less than 8mbps probably.


Taking inspiration from your nickname, how do you explain the many technical aspects of Japan that are still stuck in the 90s? They surely know how to look around and they surely know better things have been battle tested for decades in other countries, and yet...


It's an aging populace. They are the leading indicator of the demographic Cliff of urbanization and post-industrial countries in post-industrial economies.

Old people don't like to adopt new technology or ideas

Countries with demographic cliffs likely also try to extract more labor out of older people. So decision makers for adoption of new technology and techniques which would go with management or some other analogue, have reduced neuroplasticity and won't adopt change as readily.


>Then why are there so few? And containing such a small variety of goods?

Because if there are only a few with only few options you can charge the brands a lot more for the privilege of being available in your machine


"automatically" = had to learn it


From where?


I think the point here is that you can run `yt-dlp --extract-audio --audio-format mp3` instead of saving as .m4a (a lossy compression) and then covering that to .mp3 (another very different lossy compression).

Under the hood, there's probably an additional lossy conversion. I'm not sure if YouTube converts uploaded videos to specific formats but if they do, then the worst case scenario is:

- original uploaded video uses .ogg audio

- YouTube converts that to opus and puts it into a container format (wbem?)

- You download the video and extract the audio to .m4a using yt-dlp

- and then you convert that to .mp3 using ffmpeg

That's 4 consecutive lossy formats, each one throwing away different data.

Honestly the best thing to do here is use yt-dlp to download whatever format YouTube provides and use ffprobe to find out what audio format is already there. Then do one conversation if required.


I usually just extract the raw Opus audio, then run it through Picard to tag and save it in my music directory. I don't see any point in converting to MP3 these days -- Opus provides better audio quality at the same bitrate (or, equivalently, lower file sizes for the same audio quality), and pretty much all player software supports it now. I've actually been going the other way and converting most of my music library to Opus and getting rid of MP3s.


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