Well said. This place has too many people who have never seen true poverty and people with the life drained out of them working shitty jobs just to be able to eat. Money has also directly lead to more happiness in my life.
In fact, it's almost a direct relationship.
The biggest impact isn't in the material objects it has allowed be to buy, but in the freedom it provides to self-actualize, to pursue activities and build skills that would've been near impossible if it weren't for money.
They know it's a tough sell. Fortunately for everyone in the market, you can still find used CPUs/GPUs/RAM pretty easily and save a decent amount if you're ok with building your own.
Valve doesn't need this to do well to survive. And you don't need a steam machine (or any >$1000 machine) to play PC games. Just wait it out or buy used hardware. Hell, even an rog ally x plays just about anything (and also supports steamOS), and you can still get that at reasonable prices.
Because I don't think that's the point of the article, which is just a commentary about how AI labs are marketing the effectiveness of their services by using terms like "8x more code per quarter" like that's an obvious good thing (which it isn't).
If you want a more in depth explanation, go look for interviews with devs who were already super-productive before LLMs and now came around to using them everyday.
Because it's fun. And why shouldn't we be into incremental automation?
I still write code manually to keep my trad-coding skills from withering away, but using AI without a doubt has allowed me to better test my existing apps. Create playwright automations I would've never had the time for. Allowed me to search through docs many times faster. And it just making programming more fun when I do use it for more challenging problems, and I actually get something working at the end of the day.
This is bad advice. You should only use rem for text, e.g. font sizes and paragraph margins.
If the user is on a phone and has a larger default font size due to vision difficulties, making padding scale with the font size takes screen real estate away from the larger text the user needs.
Thanks for the tip. That does make sense, although I do think having your default CSS-defined font sizes (across your whole app, not just the main content) be a reasonable size should be the first priority.
Also, not having ridiculously oversized margins, like so many 2019-2022 websites trying to look "modern" used to use.
old.reddit.com is one example where the paddings still look good when magnification is set to 150-170% (which I have to do because of the tiny default font size). I think doing it that way but with better readability at 100% zoom, would be a decent solution.
This is true. I use increased font size on my phone, and so many websites are borderline unusable because of massive unnecessary padding. But I am also a culprit of using rem for everything. What is the alternative? Pixels?
Perfect example for you: indeed.com (desktop site). unless its been fixed recently, huge swaths of area are already empty padded space, made worse by zooming
For boilerplate, yeah. But when asking research or exploratory questions, or weighing whether a feature is well designed, or asking "can I implement _x_ feature using these libraries without introducing unnecessary complexity", then GPT-5.5 medium is still fast enough.
10-20 seconds times a couple turns on a new feature isn't bad. Kimi is also similarly fast if not faster.
I do agree with smaller models for more constrained/routine tasks though.
well, I can usually think for myself or hit someone up in Discord (or Teams, if it's for a living) and in a worst case (that person just deflects to AI anyway) just save some token budget for myself
I always think for myself too, but when learning to do something I've never implemented before, it's nice to have little sanity checks using something with the reasoning ability (plus the fast natural language search on hundreds of pages of documentation) of a model like GPT-5.5.
Every line I put in my app, I still reason about myself. But when deciding between 5+ ways of building some random, non-straightforward feature, it's nice to have what's essentially a "mentor" AI.
It's looking like a slightly updated reskin of chromeOS with gemini features built in.
Definitely not a developer machine based on how they presented it in google IO. So if you write software, it's not looking like it'll be relevant whatsoever. I hope to be proven wrong.
And one interesting aspect is the number of children getting these types of neutered machines as their first learning tool. I read another thread comment saying people that started with react actually feel that using straight html is more complicated. My professors say that the best textbook is the one you've read. The next generation is being indoctrinated into this way of thinking
as AI native developer I need VS code forks for AI to be pre-installed. Also every single command or work need to be vetted by AI by default. I am going hardcore now.
In fact, it's almost a direct relationship.
The biggest impact isn't in the material objects it has allowed be to buy, but in the freedom it provides to self-actualize, to pursue activities and build skills that would've been near impossible if it weren't for money.
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