Last year, I made a YouTube documentary series showcasing the prolific corruption in a small city government. I downloaded all the city government meetings, used Whisper to transcribe them, and then set up a basic RAG so I could query across a decade of committee meetings (around 1 TB of video). Once I got the timestamps that I'm interested in, I then have to embark on a tedious manual process of locating the file, cutting out a few seconds/minutes from a multi-hour video, and then order all the clips into a cohesive narrative.

These seem like problems that LLMs are especially well-suited for. I might have spent a fraction of the time if there was some system that could "index" my content library, and intelligently pull relevant clips into a cohesive storyline.

I also spent an ungodly amount of time on animations - it felt like "1 hour of work for 1 minute of animation". I would gladly pay for a tool which reduces the time investment required to be a citizen documentarian.

Interested in how this compares to electra

This sound really intriguing, and I am really curious. What kind of service do you run where you need a 100s of VMs? Was there a reason for not going dedicated? Looking at their offering their biggest VM is (48 CPU, 192 GB RAM, 960 GB SSD). I can't even imagine using that much. Again, I'm really curious.

1000 VMs?

So you have approx 1MM concurrent customers? That's a big number. You should definitely be able to get preferred pricing from AWS at that scale.