OpenZL is a new open source data compression framework that offers lossless compression for structured data, achieving performance comparable to specialized compressors by applying configurable transforms to reveal hidden order in the data.
A detailed analysis of the DeepMind/Meta study: how large language models achieve unprecedented compression rates on text, image, and audio data - and the implications of these results
ffmpeg -i demo.mov -vcodec h264 demo.mp4
