The wealthy don’t keep much cash. I’m pretty sure Trump has said that he wants a weaker dollar, or at least implied it. I’ve heard some people speculate that the admin is purposely trying to end the dollar’s status as the world’s de facto reserve currency. If they’re serious about bringing most manufacturing back to the US, the dollar needs devalued, and real wages need to plummet. The admin is also heavily involved in crypto schemes.

I have not personally worked on large projects using functional languages. I know they are popular in finance/trading.

Been a while since I’ve used Scala, but I remember Scala being much more focused on functional programming than Kotlin.

They are establishment Dem propaganda. I’ve noticed recent instances where they seem to be somewhat complicit or cagey with their language regarding all the fucked up shit that’s been going on. I.e. using language like “some people argue,” instead of plainly stating obviously illegal or fucked up shit. Their rebranding to MS Now was specifically to distance its brand from be a “resistance brand,” according to the CEO.

Some of it is a function of media. Media typically doesn’t cover when non-white people get murdered. Some of it is the media reflecting the racism of its viewers. Some of it is being caught on video and leaving less room for doubt (and the media deciding to show the videos). There’s also been protests and action being taken by normal citizens before these white people got killed (these white people were killed doing it, after all).

Every game I’ve tried works fine. Including resource hungry games like Cyberpunk 2077. It’s my understanding that games are typically light on the CPU because they typically also try to target consoles which don’t have very good CPUs. It is noticeably slower at some (highly parallelize-able) tasks, but is fine for any game I’ve tried. The CPU is probably roughly equivalent to the CPU in a Steam Deck.

I’ve got a PC with an i7-4770k, 32GB of RAM, and RTX 3090 that plays games just fine (and does runs local LLMs just fine too).

Dunno if that’s true or not. Generally, much more compute is used in inference than training, since you only train once, then use that model for millions of queries or whatever. However, some of these AI companies may be training many models constantly to one-up each-other and pump their stock; dunno. The “thinking” model paradigm is also transferring a lot more compute to inference. IIRC OpenAI spent $300k of compute just for inference to complete a single benchmark a few months ago (and found that, like training, exponentially increasing amounts of compute are needed for small gains in performance).

I don’t think so. I think some lower courts did, but the Supreme Court changed the rules to ban “blanket injunctions,” so every wronged party has to bring their case to the courts and considered on a case-by-case basis. I think there’s a case about tariffs that the Supreme Court is supposed to rule on but haven’t yet. The admin, right now, can seemingly do anything it wants by just tying up courts with large numbers of illegal acts. They face no consequences for doing so, and the Supreme Court is mostly complicit (and illegitimate).