Instead of blocking IPs, Google would just shut them down

I think the best bet at federated video hosting is with something like IPFS or even bittorrent. If every client is also a host, that would greatly reduce the bandwidth needed for any one server.

No, it’s when people realized it’s a scam

The tech bros had to find an excuse to use all the GPUs they got for crypto after they bled that dry

It’s because when banks make loans, they sell of the debt, but nobody has wanted to buy the debt for Musk’s loans. My understanding of this is essentially, if someone takes out a loan of $100 million, the bank will sell that debt to an investor for $101 million, and the investor will make back $102 million once the loan is paid off due to interest. But no investors are confident enough that Musk will pay back his loan so no one is ponying up the dough to buy it.

I used to find stuff like this fascinating. Like if collecting my data can help me, why not? But technology has gotten to a point that it’s just straight up creepy how our every single waking moment can be tracked and collected, even if it’s me collecting it. It’s like watching every dystopian sci-fi story come to life in real time.

Aka Google’s AI

I’ve started just booting them from USB. I have Home Assistant running on a pi with an ssd in an external enclosure and it’s been completely issue free.

The raspberry pi is about the worst case scenario for SD cards. It may be idle, but an operating system is still making constant reads and writes, which absolutely eat through an SD card

I believe you can export as an STL from Orca Slicer, though I haven’t done it myself. You’d basically merge the STLs in Orca, export, and then open the exported STL in the slicer of your choice.

“If you really cared about free speech you wouldn’t be using your free speech to call out Nazis”

That’s exactly how you guesstimate CPU performance. It obviously won’t be accurate to real life use cases, but you don’t necessarily need benchmarks to get a ballpark comparison of raw performance. The standard comparison is FLOPS, floating point operations per second. Yes different architectures have different instruction sets, but they’re all relatively similar especially for basic arithmetic. It breaks down with more complex computations, but there’s only so many ways to add two numbers together.

24 threads at 2.00 GHz vs. 8 threads at 0.66 GHz with a 40% difference in TDP. The AMD chip may draw more power, but has much higher performance. Simplifying things, it can perform 9x the operations as the Apple silicon for only 1.4x the power draw.

Google has shown time and time again they couldn’t care less how malicious an ad is, they’re still getting paid

To be fair, it’s not an issue with just Tesla, but basically all modern software. The end user has become the beta tester.