eric__cartman

I doubt distributed compute in a bunch of old i7s is worth much once you factor in the electricity cost

Also a great way to block the access to people that do not have a payment system available. Whether it is because they are not in a country that's well integrated into an international payment system, or because they are under 18.

I browsed a lot of those sites when I was a teenager and did not have a credit card or easy access to internet money.

It would be a nice collectable trinket, but OpenAI is quite down on the list of companies I'd gift money to

To be fair I care way more about the long term sustainability of my body than all the software I write regardless of how business critical or interesting it is. Or hardware for that matter, the "temporarily" zip tied CPU cooler fan says hi lol

It's more niche but also underestimating the impact of using SIMD in places where it makes sense. Especially in higher level, interpreted programming languages where the overhead for each iteration is much larger than the few assembly instructions it would take to perform that iteration without vectorization in a low level language.

How would destroying the GPUs prevent the model weights from leaking? By the time you get your hands on them the memory is powered off for a long enough time that a cold-boot style attack is impossible.

If I transported you to the 1960s and gave you a wizard that could punch cards for you with a chance of making a mistake, would you still bother to learn how to operate a punch card?

What would you do if the wizard gets stuck? Coarse the wizard into making the black box work through somebody else's direct perspective on the problem?

Those operating systems already exist. You can run NetBSD on pretty much anything (it currently supports machines with a Motorola 68k CPU for example). Granted many of those machines still have an MMU iirc but everything is still simple enough to be comprehend by a single person with some knowledge in systems programming.

How many of those legacy applications where the source is not available actually need to run natively on a modern kernel?

The only thing I can think of is games, and the Windows binary most likely works better under Wine anyways.

There are many embedded systems like CNC controllers, advertisement displays, etc... that run those old applications, but I seriously doubt anyone would be willing to update the software in those things.

You can't seriously expect a new GPU manufacturer to create a perfectly useable ecosystem on day one.

The drivers will surely get better over time and support for integrating the compute stack that they use will come if the incentive is good enough.

I really hope this doesn't turn out like HIP in AMD Radeon cards. That is absolute dog shit and has been dog shit for ages. It's really sad that an AMD card from 2017 is useless for compute while an equivalent Nvidia card from the same era is just now getting dropped by the latest CUDA versions.

My phone is a piece of junk from 8 years ago and I haven't noticed any degradation in browsing experience. A website takes like two extra seconds to load, not a big deal.

Android studio became great after I upgraded from 16 to 48 gigabytes of ram. Thanks for that, Gradle!

Honestly I don't see much of a problem if this is applied to imports of single items by an end user. I used to be that I had trouble importing some device partly because the power supply was not certified by the local regulatory entities. Most of what people import in single quantities are electronics with switch mode power supplies that work from 100-240v and at 50/60hz. I doubt many people are importing a hairdryer or a toaster. Personally if a power supply is approved by the FCC or some other important entity I consider it good enough for my personal use, even if it has a foreign plug.

It is a problem for importing large quantities to resell though, I'm not defending the ability to import 100s of death traps and sell them to people.

> Performance varied between a 4.3 percent slowdown to a 2.3 percent speedup depending on the way it was bent.

I have practically zero knowledge on the physics behind semiconductors to try to think why this could occur but I find it fascinating nonetheless.

An iPhone 8 still has a lot of processing power for headless home server tasks. I use a much weaker ARM dev board as an ssh gateway and Wireguard VPN into my home network and it works just fine. The only thing I'd worry about is leaving the battery on the phone and having it puff up after being trickle charged for months on end.

But if you remove the battery and mod the phone to power it directly from an external power supply you're all set!