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Awful, would laugh at you on a date. Better than most.
Awful, would laugh at you on a date. Better than most.
Seriously, U.S., get your shit together. This crap spills out all over the world thanks to cultural imperialism (Hollywood etc.), no beuno.
To a large degree, the point of RAID is to not care about drive reliability, trust the process. Also, you seem to conflate RAID with backup (“RAID is not a backup”), you want both. In a NAS, you’re probably better off with RAID5 + backup.
In a system that can take a drive failure, the current datahoarder zeitgeist is Manufacturer Recertified (Enterprise) Drives, see ServerPartDeals.com if you’re a yank, other countries have their own options.
Nope, As long as you’re not as uncreative as to use Correct Horse Battery Staple.
I’d suggest you move toward a backup approach (“RAID is not a backup”) first. Assuming you have 2x10Tb, get a 3rd and copy half of your files to it, disconnect it, and now half your files are protected. Save, get another, copy the other half, now all your files are protected. If you’re trying to do RAID on USB, don’t, you are already done, otherwise (using SATA or better) you can proceed to build your array in an orderly fashion.
Either works, but system RAM is at least an order of magnitude slower, more play by mail than chat…
Sounds like an excellent idea, I’d be surprised if it isn’t happening.
My bad, I didn’t read ‘built a macOS 13 installer’, but now they must return for ‘built a macOS 14 installer’.
Sure, I was being mildly facetious, but pointing to a better pattern, the nature of python means it is, barring some extreme development, always going to be an order of magnitude slower than compiled. If you’re not going to write even a little C, then you need to look for already written C / FORTRAN / (SQL for data) / whatever that you can adapt to reap those benefits. Perhaps a general understanding of C and a good knowledge of what your Python is doing is enough to get a usable result from a LLM.
OS hasn’t been updated for how many years?
Ahh, not so sure how great a gift an insecure computer is, but I imagine you have your reasons…
It’s Intel, you too can have fedora atomic, and it’ll likely last another 5 years.
When you need speed in Python, after profiling, checking for errors, and making damn sure you actually need it, you code the slow bit in C and call it.
When you need speed in C, after profiling, checking for errors, and making damn sure you actually need it, you code the slow bit in Assembly and call it.
When you need speed in Assembly, after profiling, checking for errors, and making damn sure you actually need it, you’re screwed.
Which is not to say faster Python is unwelcome, just that IMO its focus is frameworking, prototyping or bashing out quick and perhaps dirty things that work, and that’s a damn good thing.
Seeing as no-one’s answering the question in terms of privacy (although I agree with their sentiment)
Trust. You have to trust that they will respect your privacy. They actually talk a good game, are probably superior in privacy to the average android (but not GrapheneOS or Linux) in so much as they fend off other entities trying to hoover your data, mostly so they have exclusive access (at least to metadata, actual data may currently even be secure but that can change and possession is nine tenths and all that). At the end of the day, they’re a greedy mega-corporation and cannot be trusted if they need to keep that line going up this quarter. I much prefer transparent systems that keep me in control and possession of my data.
I like their hardware, excellent build quality (shame about long term support and e-waste though). Will probably pick up a cheap M1 Air once Asahi linux stabilises.
These sets of concentric shells contain a thin layer of positive mass tucked inside an outer layer of negative mass.
The next question, then, is how to possibly confirm or refute the shells Lieu has proposed through observations.
First, we take some negative mass… Oh, wait.
Still, fresh blood!
AGI, then ASI. Goalposts change…
You don’t, I like it coz it minimizes profiling for the component search engines, and gluetun is right there, just point SearxNG at the proxy. I still get reasonable localized results by chosing a nearby exit node.
OSS, local llm, SearXNG. I likey, is there a demo ? SearXNG via VPN has helped unshittifying my search, but GIGO still applies.
Also note that Thinkpads up to a couple of years ago (when soldering RAM became a thing) are mostly trivial to open and upgrade RAM / drives, so you don’t have to care about those and can pick up a bargain (look to T480 at the moment (not the TN screen tho), or whatever is 3 years or so old, as that’s the corporate fleets that are getting dumped onto the market).
Be aware that halfway decent backup solutions dedupe. Which is not to say you shouldn’t clean your shit up. I vote https://github.com/qarmin/czkawka.