

How do they know for sure that they got the right person?
How do they know for sure that they got the right person?
Er… I stand by what I said…
The shutters inside the socket are more effective at preventing Anthony from being stuck in.
I like that I can interface with it in ways that I already understand (eg rclone, sync, sshfs).
Being able to run some commands on the server meant that I could use rclone to copy my AWS and OneDrive backups directly cloud-to-cloud.
Before even getting to documentation, I see so many projects that don’t have a short summary of what they do (and maybe what to not expect them to do).
As an example, Home Assistant. I can tell that it involves home automation, so can I replace Google Home with it? It seems like it doesn’t do voice recognition without add-ons and it can work with Google Assistant. Do I still need accounts with the providers of smart appliances, or can it control my bulbs directly?
None of that is very clear from the website.
I’ve seen plenty of other projects where it’s assumed there’s no need to explain it’s overall purpose.
That was covered pretty well already!
Or maybe it’s using Fluidic logic.
Well that’s of the same order of magnitude as the quoted figure. I was suggesting that it sounded vastly larger than it should be.
It’s true, I don’t know how large the models are that are being accessed in data centers. Although if the article’s estimate is correct, it’s sad that such excessively-demanding models are always being used for use-cases that could often be handled with much lower power usage.
140Wh seems off.
It’s possible to run an LLM on a moderately-powered gaming PC (even a Steam Deck).
Those consume power in the range of a few hundred watts and they can generate replies in a seconds, or maybe a minute or so. Power use throttles down when not actually working.
That means a home pc could generate dozens of email-sized texts an hour using a few hundred watt-hours.
I think that the article is missing some factor, such as how many parallel users the racks they’re discussing can support.
You thinking of Apple headsets. These are budget things, maybe $300.
He decided that it was unethical to have an AI/LLM impersonate a real person, but set up the “wizard” as an AI assistant for his fake crypto site helpline.
The Register kind-of models itself after a tabloid style so has deliberately jokey headlines. It’s been around a long time (I read it in the 90s) and seems to have quality underneath the humor.
Possibly the only remaining place where you can read the word “boffins” regularly.
My pixel 7 has adaptive charging. If there’s an alarm set and I charge it at night, it paces the charging to be full near the time I’m getting up.
So it’s doing what it can to preserve battery health.
Alternate option, set up a premium number and profit!
If you’re visiting from another country, try giving them a number from there (real or fake). What are the odds that their system can cope with international codes?
a fisheye lens-style view of a plane making an air trail.
The trail emerging from the tail of the plane, as if it was a rocket.
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Chicks, not checks, btw.
It seemed that way, it asked me to scan a QR code on my phone to link it, which didn’t happen before.
Or maybe the option to use my phone was some older auth method, where I’d use the fingerprint reader on the phone to confirm a login on the laptop. I thought that was a passkey, but that doesn’t fit with what I’m reading about what it does now.
Yeah, he should have stuck to inventing steam engines, not identities.
The smart thing would have been to use his own name on all the IDs he made, turn it into an inadvertant “no, he’s Spartacus” situation.