I’ve used a Z Fold 4 for two years now and it’s been the best phone I’ve ever had. Desktop versions of websites, on my phone, without feeling cramped. Two apps side by side, both roughly the size of a usual phone screen. Huge screen for retro emulation using a Bluetooth controller. All with still having a small screen for one handed use and more traditional scrolling.

Games like Hearthstone, Gwent, Chess, Baldur’s Gate Enhanced Edition, Roller Coaster Tycoon Classic, feel way more playable.

At this point, using any other device feels limited and cramped in ways that a big screen doesn’t.

My only complaint has been price, and I only got mine because my company paid for it

There are some apartment buildings with shared Internet connections that are just open and public; It’s crappy but cheap if someone can’t afford individual connection

You know Valve doesn’t set the prices right? The developers do

You still have yet tob porpoise any same solutions.

What do you propose they “break up” into?

The price fixing clauses are about steam keys being sold off-platform

Fun fact: You can change which page your Steam client opens up to by default. I haven’t seen the store unless I wanted to in years.

Their market dominance isn’t because of anticompetitive practices, it’s because of customer-friendly practices. People like it, so people use it.

So does keepass

If your MFA is stored in your password manager, you’re not getting prompts to your phone about it. You’re just prompted for a otp code that you have to go out of your way to copy/paste or type in from the manager.

Funny troll is funny

The thing that makes it worth it to me is long, randomly generated passwords that I don’t have to know.

None of the sites and services I use require me to type out a password thanks to browser integration and auto type (for desktop apps and such), along with autofill service on android.

Then along with that I can even store other things like account recovery codes (for 2fa) or security questions (which also get randomly generated answers)… It’s a handy thing to have IMHO

Yeah but then you have to trust Dropbox

You can dislike the statement all you want, but they literally do not have a way to know things. They provide a convincing illusion of knowledge through statistical likelihood of the next token occurring, but they have no internal mechanism for looking up information.

They have no fact repositories to rely on.

They do not possess the ability to know what is and is not correct.

They cannot check documentation or verify that a function or library or API endpoint exists, even though they will confidently create calls to them.

They are statistical models, calculating how likely the next token is based on transformations in a many-dimensional space in which the relationships between existing tokens are treated as vectors in a process for determining the next token.

They have their uses, but relying on them for factual information (which includes knowledge of apis and libraries) is a bad idea. They are just as likely to provide realistic answers as they are to make up fake answers and present them as real.

They are good for inspiration or a jumping off point, but should always be fact checked and validated.

They’re fantastic at transforming data from one format to another, or extracting data from natural language written information. I’m even using one in a project to guess at filling in a form based on an incoming customer email.

Indeed. I stopped using it altogether a couple months ago.

Not the person you’re replying to, but my main hangup is that LLMs are just statistical models, they don’t know anything. As such, they very often hallucinate language features and libraries that don’t exist. They suggest functions that aren’t real and they are effectively always going to produce average code - And average code is horrible code.

They can be useful for exploration and learning, sure. But lots of people are literally just copy-pasting code from LLMs - They just do it via an “accept copilot suggestion” button instead of actual copy paste.

I used Copilot for months and I eventually stopped because I found that the vast majority of the time its suggestions are garbage, and I was constantly pausing while I typed to await the suggestions, which broke flow state and tired me out more then it ever helped.

I’m still finding bugs it introduced months later. It’s great for unit tests, but that’s basically it in my case. I don’t let the AI write production code anymore

I can imagine that getting confused with Guix (pronounced geeks)

It looks like it runs perfectly via WINE from a few quick Google searches

Specifically, it’s that the doors opening mechanisms are powered, and the power was not being applied to open them. There is no exterior mechanical entry option.

I’m sorry, my goal wasn’t to be a bother. My initial comment was intended to be friendly and funny - I’m not trying to patronize or be antagonistic. I learned a couple of years ago that I have autism, so I should have learned my lesson by now and stopped trying to be funny; It never pans out the way I mean for it to.

Hope I wasn’t too much of a drag on your day, and I hope it gets better for you.

With that said, a genuine question with no jokes: Can you help me understand how 2016 counts as recent, given the context? It was almost a decade ago, and I’m having trouble comprehending how it counts at all as recent since in tech “recent” usually means “in the last 2-3 years” unless you’re comparing to something from a much longer time ago like the 90s.

It was a lighthearted jab at calling 8 years ago recent; Not a political statement about Apple or operating systems.

8 years is a ton of time in tech, CPUs from 2016 are ancient. Single-core CPU performance has doubled in Intel’s laptop chips since then, and modern laptop CPUs from Intel are often 12-core, versus the top end 2016 MacBook Pro having 4 cores.

Not trying to start any fights, was just poking fun at the choice to call 2016 recent