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Joined 4 months ago
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Cake day: January 12th, 2026

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  • klankin@piefed.catoMemes@lemmy.mlsystemd
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    5 days ago

    Admittedly it is pretty confusing, but its spec describes it as “json with functions”, and once you get a handle on the recursive aspect of it (and that it kinda smushes multiple imported jsons together), its not too bad.

    Stupid useful too










  • klankin@piefed.catoLinux@lemmy.ml*Permanently Deleted*
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    2 months ago

    Mid-range networking equiptment common in higher end homelabs or small/medium enterprises.

    Doesnt compete with fancier Cisco gear, but has an easy to use interface that can scale fairly well.

    Though like most networking equiptment the hardware is dirt cheap, so Alpine’s lightweight base fits it well.



  • We dont yet have proof AI can “imagine” new things, just interpolates between existing. For complex relationships such as realistic fluid/particle dynamics it also requires billions of inputs before approximating reasonable outputs - so the cost to potentially nonexistent ROI timeline just doesnt add up. Its made even worse if youre already simulating billions of viable simulations, just to generate thousands.

    This is why most modern techbro AI requires massive internet piracy, without already having the training data readily available (but not efficiently simulated) the algorithms arent worth much.

    Tangentially this is why such algorithms have many applications in the medical field, they generally have access to a large dataset of human annotated diagnosis that can’t readily be created by a computer.