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Edit: Just to clarify, this has been accepted into the community extensions repo. So you can use it like:

```

INSTALL hnsw_acorn FROM community;

LOAD hnsw_acorn;

```

https://xcancel.com/soraofficialapp/status/20365327959847158...

https://www.hollywoodreporter.com/business/digital/openai-sh..., https://archive.ph/ABkeI

https://news.ycombinator.com/item?id=47128138), I spent the past few weeks building a tool so anyone can run these kinds of questions and get structured results. No signup and free to use.

You type a question, define answer options, pick up to 50 models at a time from a pool of 200+, and they all answer independently under identical conditions. No system prompt, structured output, same setup for every model.

You can also run a debate round where models see each other's reasoning and get a chance to change their minds. A reviewer model then summarizes the full transcript. All models are routed via my startup Opper. Any feedback is welcome!

Hope you enjoy it, and would love to hear what you think!

Video.js is used by billions of people every month, on sites like Amazon.com, Linkedin, and Dropbox, and yet it wasn’t in great shape. A skeleton crew of maintainers were doing their best with a dated architecture, but it needed more. So Sam from Plyr, Rahim from Vidstack, and Wes and Christain from Media Chrome jumped in to help me rebuild it better, faster, and smaller.

It’s in beta now. Please give it a try and tell us what breaks.

I used this to build a CLI that indexes hours of footage into ChromaDB, then searches it with natural language and auto-trims the matching clip. Demo video on the GitHub README. Indexing costs ~$2.50/hr of footage. Still-frame detection skips idle chunks, so security camera / sentry mode footage is much cheaper.

I was just setting up a new project, and things behaved weirdly. My laptop ran out of RAM, it looked like a forkbomb was running.

I've investigated, and found that a base64 encoded blob has been added to proxy_server.py.

It writes and decodes another file which it then runs.

I'm in the process of reporting this upstream, but wanted to give everyone here a headsup.

It is also reported in this issue: https://github.com/BerriAI/litellm/issues/24512