I didn't find any reply mentioning the easy of use, benefits and handy things the mac does and Linux won't. Spotlight, Photos app with all the face recognition and general image index, contact sync, etc. Takes ages to setup those on Linux and with macs everything just works with an Apple account. So I wonder if Linux had to do all this background stuff, if it would be able to run smoothly as Macs run this days.

For context: I was running Linux for 6 months for the first time in 10 years (which I was daily driving macs). My M1 Max still beats my full tower gaming PC, which I was using linux at. I've used Windows and Linux before, and Windows for gaming too. My Linux setup was very snappy without any corporate stuff. But my office was getting warm because of the PC. My M1 barely turn on the fans, even with large DB migrations and other heavy operation during software development.

For instance, a simple law like "Companies should take measure, even if it lowers revenue and growth, to reduce addictive behavior. They should to it more emphatically on under age users and even more on under 13 years old.". But no. Instead, they will write 40 pages of what companies should implement in their software, and than have the 40 pages be quickly outdated, partially impossible to implement and hell for developers who try to do the right thing to comply. Total crap of standards and regulation bodies that help nothing and slow down all innovation.

Solution will only come from social pressure, movements to delete the apps, parents actually educating their children to avoid adicitive features. It will take time. But Government will solve nothing.

From the creator's PoV their intention and quality is defined in post-production and mastering, color grading and other stuff I am not expert on. But I know a bit more from music mastering and you might be thinking of a workflow similar to Apple, which allows creators to master for their codec with "Mastered for iTuenes" flow, where the creators opt-in to an extra step to increase quality of the encoding and can hear in their studio the final quality after Apple encodes and DRMs the content on their servers.

In video I would assume that is much more complicated, since there are many quality the video is encoded to allow for slower connections and buffering without interruptions. So I assume the best strategy is the one you mentioned yourself, where AV1 obviously detects on a per scene or keyframe interval the grain level/type/characteristics and encode as to be accurate to the source material at this scene.

In other words: The artist/director preference for grain is already per scene and expressed in the high bitrate/low-compression format they provide to Netflix and competitors. I find it unlikely that any encoder flags would specifically benefit the encoding workflow in the way you suggested it might.

If we leave nuclear waste (which is already proven not problem over and over) the next generations will come up with solutions we don’t know yet. If we leave the climate worst, by not doing what we should, they will also figure it out.

The discussion right now is about getting to a reduced carbon footprint per country fast (nuclear, in 10 or 20 years) or keep betting renewables will take less than 50 years to make an impact in reducing carbon emissions.

Anyone watching it closely can tell the pro nuclear argument is being proven right over and over and renewables are aways “a few years away”. Why continue insisting on the same error over and over again, with the proof in front of their eyes?

The major mistake was made 10 years ago by not building better and modern nuclear plants to replace Diablo and increase capacity. If this continues we’ll likely see the US entering an energy crises or going back to burning fossil fuels in a few years.

But this looks bad. He should have stated publicly why before banning it.

It feels like the machine was created to slow down progress and now it cannot be stopped. As other comments said already, factory farming is worst than what Neurallink is doing, and vegan activists are trying to save animals for ages. On the other hand, Musk is also known for pushing hard employees, and animals is just the extension of pushing hard for breakthrough.

If not done in the US, maybe it will go elsewhere, and to what purpose? This feels to me like a very worthy cause. A huge number of other animals are used for other types of health research. I guess just because people dislike rodents they give it a pass. But what Neurallink is doing is in far fewer number than rat use for drugs, etc, and far less than animal farming. It is just the engine of regulation, competition, lobbying and patents working as it is supposed to.

I know Javascript have an unfair advantage here, since the competition between V8 and the other javascript cores is huge over the years and garbage collection on JS is not often a problem. At least I see more people struggling with the JVM GC with its spikes in resource usage.

I've also heard that the erlang VM (be it written in elixir or erlang itself) implements GC on a different level, not to the global process, but on a more granular way.

Is there a good resource that compare the current state of performance between those languages or approaches?

Don't get me wrong. The case of working only 2 days after the move is an absolute nightmare. But it is the exception that needs to be dealt with, not the reason for a rule that is hard to enforce and easy to fraud.