Nice that it works for you. I've tried a similarly sized screen to that, and it's just too much eye strain for me.
"Very wide" on a tiny screen is also a disadvantage IMO. Even something like a 7 inch ROG Ally (which is 16:9) is way more surface area than that. The 16:10 handhelds are even better, but hey to each his own.
Accurate reflection of Alibaba's cloud platform as a whole. I've never seen more misused terminology and strange word choices than when testing out their cloud dashboard.
This is egregious for a model announcement though, I agree with you 100%.
I'm sure that works fine, but playing on an 8 inch 16:10 screen (like the Legion Go S or the MSI) has to be a better experience than a significantly smaller 6.7 inch screen. Despite the obviously higher quality HDR on your phone.
Every time I've tried PC gaming on undersized screens, every single inch makes a big difference to the immersiveness and reduced eye-fatigue. It just ends up being something I have to put down early because of that. 8 inch is the smallest I can go where the compromise makes sense.
You can reference other things without resorting to skeomorphism. Like using stars to represent favorites, typography to emphasisze/deemphasize things, the color red for warnings/errors, the color green for go/submit/ready, or the clearest of all: using descriptive naming in buttons and having self-documenting labels.
Skeuomorphic UIs absolutely have a place in things like games and tutorials for the youngest of children (like 5-6 yr olds, max), but past that, I honestly think labelling, a UI with feedback after significant inputs (like sounds, button states being extremely distinct, animations, etc), and not overcrowding the UI with too many controls and jargon will all go much further than skeuomorphism.
They are, and I am. While I don't use the words "LLM slop", I do have the urge to instantly stop reading any piece of writing that was obviously default Claude output with no effort to make it sound even remotely human written.
I'd rather read natural sounding, non-repetitive, and actually useful LLM text than the majority of reddit comments (including the serious ones) for instance.
Any direct comparisons to base UI? I've been pretty satisfied with base UI so far, but my usage has been very basic so I'm open to switching if Mantine offers something better.
Jira already has open source clones that companies already use.
Sure if you want your own, it takes a lot more that prompting, but it's not inherently a terrible idea to commit to duplicating something like that. Jira isn't some gargantuan work of art that stands out among its competition.
Cloning Jira is fine and tenable. Especially if your company only needs a tenth of the feature set of Jira, which is a lot of companies. "A tenth" is being generous too.
Regarding the google docs take, that I 100% agree with.
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.
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.
"Very wide" on a tiny screen is also a disadvantage IMO. Even something like a 7 inch ROG Ally (which is 16:9) is way more surface area than that. The 16:10 handhelds are even better, but hey to each his own.