Ah, gotcha. You were referring to the comment from the summary, not mine. Yeah, it's fun to watch the young'uns realize that they are absolutely going to spend their whole lives realizing they forgot something they used to know. It's even more fun to watch them the first time they look at code they wrote two months ago and say "Who wrote this stupid shit? Oh....".

Really? Doesn't feel that way at all to me. What it feels like is that LLMs are a massive force multiplier for the skills I already have.

Why the scare quotes? Are you uncertain if she's a woman? Or do you not understand how to use quotation marks?

Did they steal stuff worth millions?

Though, of course, this raises the question of why someone would leave valuable masters in a suitcase in an unoccupied core.

Dude, I've been writing code for 40 years. I've used so many different tools, stacks, libraries and APIs that at this point I don't remember any of them, and I haven't remembered them for years, and it doesn't matter at all. Sure, I have to look everything up, but that's fine, that doesn't matter. What matters is that I know when something looks wrong, or hard to maintain, or inefficient, or insecure, or... pick the axis. And I can dig in and find the problem. Anyone can tell if code works, that's easy. Understanding when and why it might break or otherwise impose additional costs, that's the real skill.

Which, as it happens, is exactly the skill you need to use an LLM effectively. Also the skill you need to understand legacy code, review colleagues' commits, etc., etc., etc. I used to say that the ability to read and understand code is an underrated skill, but an old friend corrected me at lunch a couple of weeks ago, saying that the ability to read and understand code is the most important software engineering skill, and always has been. Upon reflection, I agreed. And LLMs make this clearer than ever before.

I'm confused by all of these posters who've never heard of "the curve". I wonder if it's because they're all young'uns who went to school during an interval when progressive educators had decided to abandon it... with the inevitable grade inflation that was totally predicted.

When I was in college 40 years ago every class that had more than ~30 students in it was graded on the curve, and even some of the smaller ones (though in a smaller class it becomes statistically questionable). I used to love the groans when a buddy and I walked in the first day of class, because they knew we were going to "bend the curve". :D

Though in all seriousness, the whole point of using a curve is that in a sufficiently large class, it's statistically guaranteed (to very high probability) to be "unbendable". Inserting a couple of students at the top would mean that students who might be just above a cutoff might fall just below it, but it's not going to make a difference to many.

College isn't like tee-ball, where every player gets a participation trophy, and it shouldn't be. Especially not at elite schools. Part of the purpose of a university education is to act as a filter, and not just to filter out those who can't cut it at all, but to rank all of the students by performance, so graduate schools and potential employers can make use of that information.

Don't be so sure about the "shipped off". Google is heavily investing in on-device AI that runs in a trusted enclave (e.g. TrustZone on ARM). I left the company in August of last year but I doubt this has changed since it's been a major area of focus for quite some time.

Do you really mean that if your git repo were corrupted, restoring a snapshot of the repo from backups wouldn't work? If that's true, then it sounds like your backup system is broken. The hashes after restoring ought to be identical to what they were before the backup.

If git used the files' iNode numbers for its hashes, then I could understand how a filesystem-based backup/restore might not really work; you'd have to backup at the block level instead. But git doesn't use the iNode numbers.

git isn't magical. It only knows files. It doesn't know if you moved the repo, copied the the repo, or restored the repo from a ten year old backup. I have moved git repos around plenty of times, `cp -a`ed directories with repos, tared and un-tared directories that contain repos, and the copies have always Just Worked without any hash mismatches.

mkdir ~/test. cd ~/test. git init, touch test.txt, git add test.txt and git commit. cp -a ~/test ~/test2. cd ~/test2 and check out the backup repo. The backup is valid. Then simulate a disaster with rm -rf ~/test. Then recover from the disaster with cp -a ~/test2 ~/test and you've just restored a repo from filesystem-level backup. The resulting repo works perfectly and its hashes aren't off. git has no idea you deleted and restored under its nose. Try it yourself.

What am I missing? I'm not surprised to be called idiotic, and the shoe often fits. But I'm surprised to be called that over this.

My router's hardware's parts were made in China. Its software was made as a worldwide effort but the team seems to be officially based in the Netherlands. And I'm not asking my government's permission for updating either one. Trumptards and their micromanaging far-left centralized-economic-planners can go fuck themselves. Keep your damn dirty ape hands off my computers, comrade.

I don't need 1000 miles. 600 (unencumbered) is definitely sufficient, and 500 might be okay. The thing is that I'll lose half to 2/3 of that range when towing my camp trailer, and that's not even considering that I'm typically towing it up into the mountains, gaining ~5000 vertical feet. I also need minimum 12k pounds of towing capacity and I'd like a little headroom, so call it 16k, and the bed payload has to be able to take at least 2000 pounds, because that's how much the trailer puts on the fifth-wheel hitch.

I'm anxiously awaiting an EV pickup that can do this. I'd love to have essentially unllimited electricity to buffer cloudy days (I have 1 kW of solar panels on the trailer and on sunny days they generate way more than enough, but consecutive cloudy days can leave be difficult).

3/4 ton and 1-ton gas and diesel pickups typically have oversized fuel tanks that provide about 600 miles of range, because that's what you actually need when you start hauling or towing significant loads. I don't think an EV pickup needs to have more range, but it needs to be comparable, and to be able to tow and haul comparable loads.

I'm not anti-EV by any means. I bought my first EV in 2011, and have had electric cars ever since. Trucks are a different sort of problem, though.

That's getting there, though I'd like to see some driving tests with a good-sized fifth wheel at highway speeds. The towing capacity is probably okay, though it provides very little headroom for when I'm towing both my camp trailer (~8k) and my boat (~3.5k), which I actually do several times each summer. But I think the payload capacity is too small to tow the trailer, which puts about 2000 points on the truck.

Agreed. My sedan has been electric for nearly a decade now, but I'm still driving a diesel pickup (1-ton, though a 3/4 ton would be sufficient) because EV pickup range is inadequate -- and I think it may be inadequate for a while. I need 250 miles of range when towing a trailer, which means I need ~500 -- maybe 600 -- miles of range without.

I'm not generally a fan of hybrids, but I think plug-in hybrids with large-ish batteries may be the sweet spot for a while with pickups. The Dodge Ramcharger is looking really good to me, though I'd like to see them make a 2500.

It is effective at reducing staff cheaply, but it has a huge downside, shared with most attrition-based schemes for reducing payroll: The best employees are also the ones who find it the easiest to leave. The worst employees are also the ones who will grit their teeth and hold on to the bitter end.

It's harder and more costly (in the short term) to do targeted layoffs which allows the company to target low-performers, or those who are low performers relative to their cost. It's the better choice, though.

Lots of the top performers will.

Small teams running the show is the new normal. AI coding assistants mean that software engineers must also be product engineers, well enough to explain how to build features from soup to nuts, to LLMs. I know. this is what I do for a living now.