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.
There’s multiple things you’re mixing up here. There’s the “up” in the global coordinate reference frame. This could be based on the local system, though that makes entering and exiting the system a tiny bit more difficult. More likely it’d be based on galactic coordinates.
There’s also the ship reference frame in the comic. This probably won’t be oriented towards the global coordinate system. It’ll be oriented towards whatever the engines, sensors, and gravity need. Because the ships will all be in orbit, their orientations will probably be changing constantly relative to other ships and the global reference frame. There’s no reason to orient in a single direction and lots of reasons not to (it wastes energy, points your sensors away from the things you want to see, etc).
The ecliptic North Pole (Earth’s plane of orbit) is a bit over 27 degrees off the plane of galactic rotation. Which one is “up” and why would a spacecraft that’s done any number of inclination changes to get there care about it?
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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I’m not the one who posted the initial response, I’m just explaining what they meant.
Also, this isn’t intended to be dismissive or insulting because I recognize that everyone comes from different backgrounds and experiences, but it’s pretty widely known that different crops have different labor costs. Everyday is a chance to learn something new though. Here’s a quick overview from UC Davis on the subject.
I’d also recommend the book Fresh Fruit, Broken Bodies if you want a more personal, on-the-ground understanding of (some of) the human costs of agriculture. Understand that no book can cover everything though and there’s much worse costs than anything it covers.
None of this human cost is inherently related to concepts like monocropping either. Rather, they’re related to the economic and political context agriculture exists in, especially how those impact current mechanisation capabilities. Harvesting things like cereals is so efficient in large part because of the huge demand from livestock agriculture for cheap feedstock to justify the development/purchase of things like combine harvesters.
Some crops aren’t heavily mechanized though, and modern agriculture hires cheap laborers instead. These tend to be the expensive things at the grocery store for fairly obvious reasons, but not always. If you’re buying Spanish produce in Europe (e.g. bell peppers), there’s a reasonable chance it was harvested by migrant workers working under inhumane conditions in a greenhouse. Things like coconuts tend to have slavery and animal cruelty in their supply chains and that’s the basis for a good chunk of cuisine in South Asia.
Another way to directly tie specific crops to their human costs is to look at the daily dead body reports by US border patrol. They tend to spike a couple weeks before/after certain crop harvests. Strawberries and tomatoes show up particularly strongly in this kind of analysis, which is why I mentioned them. You can also see the spikes from things like grapes, lettuce and beans.
It’s true that plant based diets use fewer resources (inherently true because of net productivity works), but it’s not what the parent comment is talking about. Fodder crops are not hand harvested. They’re harvested with big machines as cheaply as possible. If you add another acre or 20 of barley to the world, there may not be a single additional person helping to harvest it.
The parent comment is drawing a contrast with human crops like tomatoes and strawberries that are typically harvested by backbreaking manual labor.
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 means the manufacturer is required to offer to buy it back. If the manufacturer resells it after fixing the issues, there must be paperwork attached and given to the next purchasers stating that it was a lemon.