no, tailscale is still the easiest option.

only if you’re a shitty designer or a consumer with shitty taste.

i’m sure they’re not perfect but i’ve had good luck with C7 ceramic LEDs from amazon.

only if they train it on intelligent data.

probably how it was prompted.

I think this snippet get the gist across:

The money flows in loops: Nvidia invests in AI startups, startups commit to cloud spending, cloud providers purchase Nvidia hardware, Nvidia recognizes revenue, but the cash never completes the circuit because the underlying economic activity—AI applications generating profit—remains insufficient.

Apple’s iOS powered an estimated 4.5% of 735 million smartphones in India by mid-2025, with the rest using Android, Counterpoint Research says.

will be interesting to see if Apple tells them to pound sand.

90% errors isn’t accurate. It’s not that 90% of all facts in wikipedia are wrong. 90% of the featured articles contained at least one error, so the articles were still mostly correct.

there are companies that just provide a good service/product/app without much controversy. unless you’re one of those “capitalism is inherently evil” people.

Sweeney has to answer to his shareholders.

which is like 40% tencent.

for some reason my work is the opposite. they were all lenovo (which were great), but we were forced to switch to shitty dells.

The thing is, VPNs won’t protect your privacy much. Browser fingerprinting technology has achieved its goal. True anonymity online is damn near impossible now.

except for traffic that does not come from a web browser at all. like API calls to download linux ISOs.

or pretty much all remote IT work.

that would mean they should have less tolerance for atrocious writing.

wouldn’t it be crazy if they could, i dunno, add weapons in sequels?

because old people like atrocious writing?

synology also did this recently. shit should be illegal.

you could probably even get copilot to write it!

consider this. most musicians don’t have [n]early as much money as Paul McCartney. Even Paul McCartney didn’t have much money when he was starting out in the 60s.

It’s more than that. genAI can’t create music out of the ether. It has to be trained first, meaning it basically “listens” to a shit ton of music before it can generate any music. That means:

1. Its music will be 100% derivative with no true creativity at all. Do you just want a mishmash of all pre-existing music forever?

2. most importantly, the artists whose music the genAI was trained on were likely not compensated at all for that training. So not only is the music ecosystem going to be inundated with AI slop, but we’ve stolen from working musicians to do it.