It’s not impossible to invade the US. It’s been done several times already, for example 1942 and 1812. Mexico, which shares the same oceanic borders, was invaded by France in 1861 and of course the entirety of the Americas was essentially invaded by colonial settlers.

It’s unlikely for other reasons, but nothing about it is impossible.

Crossover is the commercial version of the code behind proton, developed by the same company. It doesn’t work as well on Mac as on Linux. Since “Like Linux but worse” is exactly the point you’re responding to, so you’re pretty much in agreement with them?

Not bad, but you’re missing that the Bluetooth device can report audio latency back to the source so it can delay anything that needs to synchronize. In practice there’s half a dozen more buffers in between and a serious tradeoff between latency, noise sensitivity, and bandwidth.

Extradition treaties are almost always reciprocal and this particular treaty is publicly available. No public treaty is going to include a promise not to coup another government because of the obvious political consequences of admitting you might to everyone else.

No, the “non-fungibility” simply means that anyone who creates an NFT with the same link will be distinct from your link to the image, even if the actual URL is the same. Both NFTs can also be traced back to when they were created/minted because they’re on a blockchain, a property called provenance. If the authentic tokens came from a well known minting, you can establish that your token is “authentic” and the copy token is a recreation, even if the actual link (or other content) is completely identical.

Nothing about having the “authentic” token would give you actual legal rights though.

That’s perfectly solveable with math. Each grid square can take 10 colors, so there are 10^100 possibilities. That’s about 330 bits of entropy, or equivalent to a 51 character password. That’s gross overkill if the underlying cryptosystem isn’t broken, but insufficient if it is (depending on the details).

Cryptography routinely deals with much, much larger numbers than what you’re suggesting (e.g. any RSA key), and even those get broken occasionally.

No. Nvidia will be licensing the designs to mediatek, who will build out the ASIC/silicon in their scaler boards. That solves a few different issues. For one, no FPGAs involved = big cost savings. For another, mediatek can do much higher volume than Nvidia, which brings costs down. The licensing fee is also going to be significantly lower than the combined BOM cost + licensing fee they currently charge. I assume Nvidia will continue charging for certification, but that may lead to a situation where many displays are gsync compatible and simply don’t advertise it on the box except on high end SKUs.

Flat cables can be conformant and they still have twisted pairs. Cables just have to meet the physical properties set by the standard.

You can find plenty of people complaining online about the startup time of the windows and gnome (snap) calculators. The problem in those cases isn’t solved by compiled languages, but it illustrates that it’s important to consider performance even for things like calculator apps.

You can sometimes deal with performance issues by caching, if you want to trade one hard problem for another (cache invalidation). There’s plenty of cases where that’s not a solution though. I recently had a 1ns time budget on a change. That kind of optimization is fun/impossible to do in Python and straightforward to accomplish Rust or C/C++ once you’ve set up your measurements.

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Other than Apple music and iCloud, they’re generally less intrusive about popups than Microsoft. Their tactic is to completely prevent competitors from integrating with the system at all rather than nag you to use a setting. For example, there’s no way to use Google maps or Spotify in all the same ways you can use Apple music or Maps.

A torque converter is part of the whole transmission system even if it’s a separate housing. When you buy a new transmission, it comes with a torque converter.

Torque converters also create the majority of heat in automatic transmissions and are why automatic transmissions get coolers in the first place. How many manuals have you seen with transmission coolers?

There is independent government oversight. That’s NHTSA, the agency doing these investigations. The companies operating these vehicles also have insurance as a requirement of public operating permits (managed by the states). NHTSA also requires mandatory reporting of accidents involving these vehicles and has safety standards.

The only thing missing is the fee, and I’m not sure what purpose that’s supposed to serve. Regulators shouldn’t be directly paid by the organizations they’re regulating.

Just for context, a large chunk of “top tech talent” at the companies in the study are going to be making 200-400k. While there’s still going to be issues with pay, it’s a pretty different situation than fast food workers or similar.

WSL is just a well integrated VM running Linux. It’s mainly intended for CLI tools, but there’s nothing preventing you from e.g. running an X server and having programs appear in the Windows “window manager”.

The super key is largely inaccessible though. It’s tied very deeply into Windows, which is still the one talking to the keyboard.

I’m not assuming it’s going to fail, I’m just saying that the exponential gains seen in early computing are going to be much harder to come by because we’re not starting from the same grossly inefficient place.

As an FYI, most modern computers are modified Harvard architectures, not Von Neumann machines. There are other architectures being explored that are even more exotic, but I’m not aware of any that are massively better on the power side (vs simply being faster). The acceleration approaches that I’m aware of that are more (e.g. analog or optical accelerators) are also totally compatible with traditional Harvard/Von Neumann architectures.

ML is not an ENIAC situation. Computers got more efficient not by doing fewer operations, but by making what they were already doing much more efficient.

The basic operations underlying ML (e.g. matrix multiplication) are already some of the most heavily optimized things around. ML is inefficient because it needs to do a lot of that. The problem is very different.

It’s a little weird and very European, so OpenSUSE.

I couldn’t find official dimensional accuracy specs for any formlabs machines except the 1, which lists 150um. Perhaps you’re talking about the 3, which has a specified minimum spot size of 85um according to this paper. Where did they claim micron dimensional accuracy?