I've been seeing a lot of this in online discourse where people are like "the bubble's gonna pop and then this will all be over!"

it's a combination of wishlful thinking and straightup delusion to think that AI will just poof and disappear (maybe the specific LLM approach eventually, but not the general idea of AI/the industry/product as a whole)

So one of those egg council creeps got to you too huh?

Aw, you've got it all wrong bwat49. It's not like that!

(Sonic voice) Foiled your plans again, Eggman!

I shutdown mine too but only because suspend is still a crapshoot on linux

There will always be more suspend/resume bugs to work through. It varies a lot per device. I feel it's necessary to paint the picture for people who are curious what it means for it to be a crapshoot, so indulge me while I share my experiences.

For work I have a ThinkPad T16 Gen 4 with the newer AMD gfx1151 iGPU. Works great. I have yet to witness any issues with suspend/resume. I suspect this is the case because it is running Ubuntu with Lenovo's own support package. Theoretically, from firmware to kernel, this is all tested and validated by Lenovo, like what certainly happens with every Windows laptop and all of the components that go into them.

I also have a gen 1 Framework 16. I have seen it crash on suspend, but it is pretty rare, so I've just shrugged it off for now. It would be hard to debug, I don't see it every month despite using the thing every day.

All of my desktops currently have perfectly reliable suspend resume, you can slam it all day and all night. The last time I ran into issues was a use-after-free issue in AMDGPU. Pretty alarming, although to be clear it never hit any LTS or vendor kernels that I am aware of. I hit it because I prefer to run the latest kernel on my personal machines.

I have certainly owned laptops where suspend basically didn't work, or it would not stay suspended. I think this mainly went away when I started specifically picking laptops for Linux support.

For Intel iGPUs and dGPUs, the track record has been flawless for me. I have a few of the new Battlemage cards that default to the xe kernel driver and those have been working very well as expected. So that's nice.

I don't think this situation will be fixed until more hardware vendors are taking part in validating their stuff on desktop Linux and keeping track of the kernels. The current Linux model seems to be just dealing with whatever the vendors crap out for Windows, often full of weird ACPI behaviors and buggy firmware. It's not to say that the fault of the problems don't often lie with code in the Linux kernel, but they do not seem to wish to be bug-compatible with Windows and I think that is perfectly reasonable, so for problems that come from essentially broken firmware, it simply is going to need vendors to actually fix their shit.

(And that includes AMD. The drivers are good in some regards, but it's hard to ignore AMD's stability issues even still. At this rate, more of the long outstanding AMD driver issues will get resolved by Claude than AMD engineers... Like with Panel Self Refresh on 7040 iGPU, apparently.)

this seems rather counter-productive, wouldn't a model with less cybersecurity capabilities be more likely to produce insecure code? Not to mention, Chinese models don't have these restrictions and can be used to exploit said unsecure code.

I supposed I shouldn't be surprised at how the trump admin is approaching AI regulation, counter-productive is really all they do

As contradictory as it sounds, they (Anthropic) are probably trying to dance the fine line where its public models can write secure code but cannot exploit insecure code.

downloading a game on steam can fully utilize gigabit speeds, and modern games can be 100+gb

I play games but I suppose I don't download a 100GB game frequently enough for it to matter to myself.

I've vibe coded a codemirror table editor (as a plugin for joplin) using a nested codemirror instance for the cell editor, in my case using joplin's built in command to render markup for the inactive cells: https://github.com/bwat47/joplin-rich-tables

it works well but I'm not much of a programmer and probably ended up with a crazy over engineered architecture lol

I was surprised that there weren't any existing libraries for this (there is one now but it was created after I started work on my plugin: https://github.com/ckant/codemirror-markdown-tables)

S3 as well, I sync with cloudflare r2's free tier and it works great

> "actually no", "hang on", "wait that makes no sense"

Claude does the same thing, claude code just hides the thinking now

And before that they summarized it. But yeah, thinking was always like that (when it first started, it almost just seemed like a scheme to massively increase token use..)

I usually like the answers generated by those flows.

well love or hate them, their service is at least reliable

So is McDonalds.

...as long as you don't ask for ice cream.

gpt also loves talking about handwaving, "I'm going to do X, not just a hand-wavy victory lap"