For future reference, jamming radio equipment is illegal essentially everywhere on earth because it’s banned by the ITU rules, which every country on earth has adopted with the sole exception of Palau. Palau isn’t an exception here though, because they’ve also also adopted those rules in a roundabout “not-actually-joining the ITU” way.
So when Steve ballmer was hired in 1980, before they had even released MS-DOS? Seems like a pretty early start on deciding to ruin windows.
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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It was styled on what Americans imagined European breakfasts to be like in the 50s, and cost optimized over subsequent decades.
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?
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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.
There’s probably a bunch of reasons for the multi wing design, but the big one is going to be improving lift/carrying capacity without increasing the width.
The most efficient wings for low speeds are glider wings: as long and thin as possible. That makes them inconvenient to pack and folding joints are weak points. The second wing adds lift, but also problems: it’s less efficient than a single wing of the combined length would be and the front wing makes the rear wing less efficient. The winglet improves the situation somewhat. Facing downward also improves maneuverability.
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?
Wavelength has a very direct impact on the resolution you can print because it’s an optical system. Under perfect conditions, it’ll be diffraction limited, which is typically anywhere from several hundred nm to tens of microns. That’s an ideal system though, you’re actually going to be getting a dimensional accuracy somewhat above that in practice, probably tens to hundreds of um.
That’s not how RF works. For one thing, microwaves run at 2.4GHz, which means they can’t “see” physical features smaller than a few centimeters (to greatly oversimplify what’s going on). The miniscule bubbles simply aren’t a big factor.
Rather, what’s happening is that the ceramic (probably the glaze if we’re honest) has a higher cross section and/or lower specific heat than the food, especially when it’s frozen. It absorbs more energy and heats up faster.
I would also expect far fewer and smaller bubbles with industrial slip casting (“pouring into a mold”) than manual production.
Flat cables can be conformant and they still have twisted pairs. Cables just have to meet the physical properties set by the standard.