Honestly, anyone who used and loved macOS in the past should really try a modern KDE Plasma desktop.
It’s not the same, per se, but it’s just … mature. It’s mature because it’s a nice mix of « it’s old and boring » + they took inspiration from everything that worked on macOS and Windows and stole it. They never removed features for any bullshit marketing reasons.
It’s not perfect : there are things that I like better on macOS (but they tend to be very rare tbh) or even Gnome or whatever I’m trying nowadays (it’s Niri!)… but I do think KDE is the best overall when it comes to respecting its user, giving him nice and clean defaults while giving them enough options to work however they like to.
And yes, that includes virtual desktops arranged in a custom grid. It’s not the default but the option is right there waiting for you to enable it if you want it.
I use KDE at home after leaving OS X when it became clear Apple became more interested in mobile OSes than desktop OSes, and using various combos of Linux and Windows for a bit. Gotta agree. Powerful, customizatable, and predictable at the same time.
I would. I love linux desktop, but the apple hardware just smokes anything else. I've had a little success with asahi, but not enough to let me switch.
Wow, this feature is so broken on macOS (I have a family shared Air M2) since at least a full decade that it's really not what I would have take as an example.
OTOH, switching users on Gnome or KDE login managers is flawless.
I agree with you but I’d say the internet is just an enabler for this. It’s the humans who are cool and they even built an entire planetary network to share their cooliness.
What gp wanted to say is that models are now so smart and useful that even if they managed to be EVEN MORE smart and useful, you wouldn't even notice it.
Honestly, there is nothing in my head that Claude cannot handle. Maybe it can be more this or that but I can already barely exploit Opus 4.7.
And I'm using DeepSeek 4 Pro for my personal use and while it's a little behind, it's not that far.
I think the situation can be very dangerous for US AI companies because if current models are already capable of doing mostly anything, nobodoy will want to get to the next model, even if it's 10x better. OTOH, open source models like DeepSeek are doing mostly the same work for 1/10 of the price.
Also the more I play with Pi, the more I think LLMs are already not kept back by their own capabilities but by the lack of agency we allow them to have. There is more value today in a capable harness for current LLMs than in a better LLM.
Not OP, but in 6 months of using Opus I haven't yet found anything that I know how to do but it does not. On the contrary -- it can do things instantly that I would have needed a ~week refresher on some SDK or some algorithm in order to implement myself--plus a ton of thrash/debugging time.
like, you want to watch an AI play a video game and throw a baseball? that's like saying my toaster can't solve math problems what a shitty toaster amirite
>What gp wanted to say is that models are now so smart and useful that even if they managed to be EVEN MORE smart and useful, you wouldn't even notice it.
I think what gp said was the improvements are incremental, and we haven't seen a big revolutionary change since 2-3 years, and the pace is slowing down.
> What gp wanted to say is that models are now so smart and useful that even if they managed to be EVEN MORE smart and useful, you wouldn't even notice it.
If benchmarks across the board keep trending up and you still don't notice a difference, that's not evidence the model stopped improving. More likely your tasks aren't hard enough to expose the gains, or the model has passed the point where you're able to judge it.
You can only tell a good answer from a great one up to your own ceiling. Once the model clears that, both look the same to you, and the extra capability is real whether or not you can see it.
But that’s exactly what I said ! I know the model will continue to improve and I don’t deny that, I even strongly believe it. My point is that at that point it probably won’t change anything to me.
Would Opus 10 release tomorrow and be nearly AGI, I still would still use it like 4.7 because on daily use, I am the limit (also the harness).
So as a customer paying for tokens, I’m probably going to search for better cost rather than more intelligence.
> Honestly, there is nothing in my head that Claude cannot handle
Friend does marine autopilots in C++ on 64kb of memory. It's totally useless for him.
From my experience any sort of more difficult backend logic - all LLMs fail pretty quick. Especially when you need to logically work out the business logic (partly if not mostly because it just doesn't have the context you do).
Wow, which Claude model flubbed that question? Certainly not anything recent...? The 2-bit quant of K2.6 running locally on my own hardware has no problem with it: https://i.imgur.com/tL0FLjZ.png
From what I understand, that's a problem with the way it receives data. The model doesn't see the letters g,o,o,g,l,e to count it. Just like how I can't sense radio waves. If I wanted to find that out, I'd get a tool to detect waves. If the LLM wants to find that out, it can write a script to find it.
I was really having a hard time deciding between the Ollama and OpenCode plans for personal use, I couldn't really understand how much usage I would get with the Ollama plan, so in the end I went with OpenCode and I have never hit the limits despite using it most evenings and weekends for several hours.
What models do you use in open code? I too have unlimited opus at work and I tried using my same workflow from work using Kimi 2.6 in open code and... It's just not it, even for relatively simple stuff.
Except you are losing yourself in technicalities, technicalities which court will not care about. Most judicial systems (including UK) are based on both letter AND spirit of the law : https://en.wikipedia.org/wiki/Letter_and_spirit_of_the_law
Most courts will not convict your only for your actions but for the intention that fulfilled your actions. That's also why in most countries, murder and attempted murder will have the same consequences.
So you can hide your fees however you want, the court will interpret your intentions, and you'll have a hard time justifying your $250 processing fee for reselling a concert ticket.
Enforcement of small-scale commerce is hard, black markets exist, people will go advertise on shady sites if they have to.
Imagine you've instituted this ban, and some concert has face-value $100 tickets that now have $400 market value. The reality isn't going to be "there's now lots of $100 tickets available on StubHub", it's going to be "StubHub has no tickets, and some shady black-market website has tickets available for $400 with no consumer protections".
That said, I'm not totally against this world, since all of these inconveniences will add friction and make it less attractive and profitable to buy and scalp lots of tickets. But since I often find out about concerts kind of late, I'm also happy that there's tickets available for me at any price. I'd probably end up going to fewer concerts if we killed the legal resale market.
I use it for basically every payment with friends.
The greatest force of Wero is that, being from a bank consortium and not "another app", you can send money to people that don't even know the system exists as long as you have their phone number because the money will go straight to the bank account registered with this phone number.
You don't need to register to the service to receive money so basically anyone holding an account in a compatible bank can receive funds instantly. Which means, as the person sending the money, you don't have to tell your friends to install it.
> 1. Your European startup will be competing with others using a much better frontier model.
If the small (and I'd even say, sometimes imperceptible) difference between Opus & DeepSeek v4 Pro is such a disadvantage for your startup, it's that your startup have an issue, not the LLM.
At the end of the day, your startup is there to solve real problems and even before the LLMs, being fast at coding things have never been such a huge competitive advantage compared to marketing, sales, customer support, product vision ...
The direction we are going suggests AI will also be used for marketing, sales, customer support and product vision.
Besides, if the difference between Opus and DeepSeek 4 is so small and imperceptible, you are missing the opportunity to launch a startup on your own and compete with Claude Code.
It’s not the same, per se, but it’s just … mature. It’s mature because it’s a nice mix of « it’s old and boring » + they took inspiration from everything that worked on macOS and Windows and stole it. They never removed features for any bullshit marketing reasons.
It’s not perfect : there are things that I like better on macOS (but they tend to be very rare tbh) or even Gnome or whatever I’m trying nowadays (it’s Niri!)… but I do think KDE is the best overall when it comes to respecting its user, giving him nice and clean defaults while giving them enough options to work however they like to.
And yes, that includes virtual desktops arranged in a custom grid. It’s not the default but the option is right there waiting for you to enable it if you want it.
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