masterspace

… try it now.

Then fire him and hire someone with a plan to match.

You can also do this with Lunar, or with the paid version of BetterDisplay, and they also support controlling external monitors via DDC/CI. I personally despise MacOS, but the MiniLED displays in MacBooks have fully changed what I prioritize when buying displays. It's so much more pleasant to be in a bright room (or outside), but that's only feasible if your screen can output like 1000nits of brightness which few can outside of MiniLED displays.

I care if an OS can manage the running applications and their windows in a reasonable way, which MacOS cannot.

Lmao. ,we have to submit tickets to run software because everything is installed through random .exes. You have to do that because your IT department doesn’t trust you. There’s no difference in danger between a dev with system access installing an exe or a DMG.

I was like “ok what’s the principal”, then I scrolled looking for it and saw how long the article was and was like “Jesus Christ I’m not reading all of that”, then I started reading it and found myself at the end. A lot more compelling of a lens then I was expecting.

It’s not entirely clear what he’s referring to, he just uses the term AI broadly in the context of people being worried about job losses, then talks about the reduction in secret police costs that enables, then discusses applying AI to physics.

Tl;dw: he has two points: That between cameras and now AI monitoring, it has just drastically reduce the cost of running an authoritarian regime. He claims that running the Stahsi used to cost like 20% of the government budget, but can now be done for next to nothing and if will be harder for governments to resist that temptation. That there hasn’t been much progress in the world of physics since the 70s, so what happens if you point AI and it’s compute power at the field of physics? It could seen wondrous progress and a world of plenty. Personally I think point 1 is genuinely interesting and valid, and that point 2 is kind of incredible nonsense. Yes, all other fields are just simplified forms of physics, and physics fundamentally underlies all of them. That doesn’t mean that no new knowledge has come from those fields, and that doesn’t mean that new knowledge in physics automatically improves them. Physics has in many ways, done its job. Obviously there’s still more to learn, but between quantum mechanics and general relativity, we can actually model most human scale processes in our universe, with incredible precision. The problem is that that the closer we get to understanding the true underlying math of the universe, the harder it is to compute that math for a practical system… at a certain point, it requires a computer on the scale of the universe to compute. Most of our practical improvements in the past decade have and will come from chemistry, and biology, and engineering in general, because there is far more room to improve human scale processes by finding shortcuts, and patterns, and designing systems to behave the way we want. AI’s computer scale pattern matching ability will undoubtedly help with that, but I think it’s less likely that it can make any true physics breakthroughs, nor that those breakthroughs would impact daily life that much.

I agree with everything you’re saying, but even speaking specialist to specialist, or say to a group of specialist colleagues who might not be working on exactly what you’re working on, you still often simplify away the technical parts that aren’t relevant to the specific conversation you’re having, and use specific language on the parts that are, because that inherently helps the listener to focus on the technical aspects you want them to focus on.

If you’re communicating with another scientist about the actual work you’re doing then sure there are times when you need to be specific. If you’re publishing official documentation on something or writing contracts, then yes, you also need to be extremely speciific. But if you’re just providing a description of your work to a non-specialist then no, there’s always a way of simplifying it for the appropriate context. Same thing goes for most of specialist to specialist communication. There are specific sentences and times you use the precision to distinguish between two different things, but if you insist on always speaking in maximum precision and accuracy then it is simply poor communication skills where you are over providing unnecessary detail that detracts from the actual point you’re trying to convey.

Their literal entire first paragraph is about scientists doing it.

No, I’m talking about engineers and scientists communicating with project managers and designers, legal, business people, and the many many other people who work in the same industry but do not have technical backgrounds.

It is for a white collar job where most people have degrees.

Eh I don’t really agree, depending on how simple you’re talking. Bags within bags, or dumbing things down to a grade school level, then sure, there are topics that can’t be described succinctly. But if you’re talking about simplifying things down to the point that anyone who took a bit of undergrad math/science can understand, then pretty much everything can be described in simple and easy to understand ways. Don’t get me wrong, I’ve seen many people at the top who can’t, but in every case, it’s not because of the topics inherent complexity but either because they don’t actually understand the topics as well as they may seem, or because they lack the social skills (or time / effort / setting) to properly analogize and adjust for the listener.

You’re literally just describing this meme. When you don’t know shit you think it should be simpler, when you slightly understand it then you end up using technical terms because you know those terms apply and aren’t confident enough to replace them, and then once you know enough you get confident just describing everything as bags within bags.