Opensource

Or shitty mDNS implementations

While LLMs are truly impressive feats of engineering, it's really annoying to witness the tech hype train once again.

The app Be My Eyes pivoted from crowd sourced assistance to the blind, to using AI and it's just fantastic. AI is truly helping lots of people in certain applications.

There are other good uses of AI. Medicine. Genetics. Research, even into humanities like history.

The problem always was the grifters who insist calling any program more complicated than adding two numbers AI in the first place, trying to shove random technologies into random products just to further their cancerous sales shell game.

The problem is mostly CEOs and salespeople thinking they are software engineers and scientists.

Spoiler: they won't

I know Jeff Geerling on Youtube uses OpenAIs Whisper to generate captions for his videos instead of relying on Youtube's. Apparently they are much better than Youtube's being nearly flawless. I would have a guess that Google wants to minimize the compute that they use when processing videos to save money.

MPC-BE

I agree that this is a nice thing, just gotta point out that there are several other good websites for subtitles. Here are the ones I use frequently:

https://subdl.com/
https://www.podnapisi.net/
https://www.subf2m.co/

And if you didn't know, there are two opensubtitles websites:
https://www.opensubtitles.com/
https://www.opensubtitles.org/

Not sure if the .com one is supposed to be a more modern frontend for the .org or something but I've found different subtitles on them so it's good to use both.

The most important part is that it’s a local ~~LLM~~ model running on your machine. The problem with AI is less about LLMs themselves, and more about their control and application by unethical companies and governments in a world driven by profit and power. And it’s none of those things, it’s just some open source code running on your device. So that’s cool and good.

Thank you for your service

Hopefully better than YouTube's, those are often pretty bad, especially for non-English videos.

subtitles aren't a unique dataset it's just audio to text

subtitling by hand takes sooooo fucking long :( people who do it really are heroes. i did community subs on youtube when that was a thing and subtitling + timing a 20 minute video took me six or seven hours, even with tools that suggested text and helped align it to sound. your brain instantly notices something is off if the subs are unaligned.