42 minutes ago
How do you plan to handle the variability in video quality and content style on YouTube? For example, some educational channels might have a very structured approach, while others might be more conversational or rambling. How does your AI model adapt to these differences, and what kind of limitations have you encountered so far?
10 hours ago
How does this give back to the people whose videos are being used?
9 hours ago
Hi - could you explain more? If you look at the site - the videos are embedded on the page so should still generate the same revenue -> https://asterlab.io/
11 hours ago
Pretty impressive so far. How are you paying for the compute on this?
10 hours ago
My own pocket at the moment. Very happy for folks to try and use it as a tool. If it becomes a problem - hopefully the community will contribute. What do you think?
10 hours ago
Hopefully you won't be overwhelmed too quickly. =)
9 hours ago
Can you support any media target yt-dlp supports?
9 hours ago
Do you have an example? It is set-up just for yt at the moment - would need to dive deeper into API documentation to see what else we could cook
9 hours ago
https://github.com/yt-dlp/yt-dlp
https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites....
Should be able to use yt-dlp as an extractor to support any site it supports.
8 hours ago
Will take a look!