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Cake day: November 10th, 2023

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  • If they don’t already have your call sign, they can identify you from your heading and altitude. Failing that, they will give you a squawk code to punch into your transponder that will identify you on the board.

    GPS is not required instrumentation, but the typical “six pack” is: airspeed indicator, altimeter, vertical speed indicator, attitude indicator, heading indicator, and turn coordinator.

    If you call into ATC they can give you your exact coordinates and ground speed.





  • It sounds like a step further than open-webui; it’s an enterprise grade client-server model for access to agents, workflows, and centralized knowledge repositories for RAG.

    In addition to local chatbot for executive/admin use, I can see this being the backend for developers running Cursor or some other AI enhanced IDE, with local knowledge stores holding proprietary documents and running against local large models.

    I am also curious about time share and prioritization of resources; I assume it would queue simultaneous requests. Presumably this would let you more effectively pool local compute, rather than providing A100 GPUs to each developer that may sit unused when they’re not working.

    Edit: Somewhat impressively, this whole stack does not even include a local inference provider; so it does everything except local models right now, and requests are forwarded to cloud inference providers (Anthropic, OpenAI, etc). But it does have the backend started for rate limiting and queuing, and true “fully offline/local” is on the roadmap, just not there yet.