That's an interesting take, however there is no ongoing maintenance related to local models, maybe the only effort is giving more capable machines to the workforce; but yeah I can see how it might feel like a barrier.

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sathackr 3 hours ago | parent [-]

The hardware, the power systems, the cooling systems. They need maintenance.

The OS needs updates, file systems get corrupted.

Fans get dirty.

All the things that you need to deal with in hosting your own server infrastructure you have to deal with when hosting your own AI infrastructure (which runs on servers...)

	▲	ajb 2 hours ago \| parent [-]
		However, you can get many of the benefits of a "local model" by outsourcing all the hardware maintenance but still using an open model. Guaranteed repeatability for one. A lot of the reason people outsource normal software is its brittle security properties, not sure that even applies to an LLM - it can go and look up the latest security best practices just like an engineer can.