Most companies depreciate hardware across 3 years Can somebody explain why exactly?
Most companies depreciate hardware across 3 years Can somebody explain why exactly? Was there ever some large scale research with the outcome this was somehow the cheapest? Or is it a mere byproduct of the consumption-based society? I'm asking because I'ved used lots of different types of hardware (both computing and non-computing) and >90% lasted well over 3 years. It seems a waste of time/money to get rid of ot after 3 years? Which matches with SE's findings: they choose 4 years. Still not that much, but already 'better'
Posted by stinos on Mar 6, 2015, 7:12 AM
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The biggest problem with having an LLM do this, from what I've observed of at least frontier models, is that the way they are trained...
The biggest problem with MOND is that it was hand-crafted with additional parameters simply to fit the data.
(My comment is about detached houses).
The biggest problem with this is that I can't run my company's own internal benchmarks against this API, because they will be trained int...
> steer Claude away from over-engineering parts of the system in response to hypothetical concerns.
Why is there no comparison with FLUX 3 Image?
> our Git monorepo was developing an annoying problem Sentences like this are so common from people using monorepos that I am convinced ...
Why is there no contact form?
Most companies depreciate hardware across 3 years Can somebody explain why exactly?
Most companies depreciate hardware across 3 years Can somebody explain why exactly? Was there ever some large scale research with the outcome this was somehow the cheapest? Or is it a mere byproduct of the consumption-based society? I'm asking because I'ved used lots of different types of hardware (both computing and non-computing) and >90% lasted well over 3 years. It seems a waste of time/money to get rid of ot after 3 years? Which matches with SE's findings: they choose 4 years. Still not that much, but already 'better'
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