Hey breadislove; amazing article, I’ll be sending mixedbread an email in the morning that may interest you (email will be <5-characters>@pm.me)

I have also been working in compression and performance engineering, and managed to get a 99+% compression unlock versus conventional approaches (100+KB down to 1KB) in the scenario of 30 minute massive multiplayer game replays for a “game+engine” I’m developing

I think there’s a synergy between these 2 concepts I’d love to chat some more

I can't wait until we get to 100% storage/cost/compute reduction for LLMs. Every thought you could have thought pre-conceived in high-fidelity super-resolution. Every action you could have taken predicted and simulated in advance courtesy of Openthropic and the USA Sovereign Wealth Fund.

The Pi compression algorithm is better.

97% is impressive, but I'm curious what the latency tradeoff looks like in production. Storage is only half the story for retrieval systems.

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