LaurensBER

FSR 4/DLSS/Xess is something else than a simple spatial image based scaler though.

If you haven't tried machine learning based upscalers do give it a try! The newest generation (DLSS 4.5/FSR 4.1) are in general preferred by users over a native image since they provide a far superior way of native AA.

AI based frame-gen is also very good. 4k/120 Hz (1080p/60 FPS rendered) is very doable on mid-range cards these days.

4k works great when combined with FSR. On a 9070 GPU the frametime cost of FSR 4 is around 2 msec so you can just render the game at 1080P, upscale to 4k.

I usually play like this, it gives a very sharp image at 120-180W with a barely audible fan.

I can't launch Doom 2016, Brothers or Darksiders 2 on Windows. The screen blanks, if I unplug the HDMI cable and plug it in again I do sometimes get a signal. Ofcourse it works flawless under Linux.

Who would've thought that in 2026 gaming under Linux is actually the better option. Pretty awesome to see it work so well!

In some cases chemicals are added to the water to increase cooling efficiency.

This is a choice, alternative approaches do exist but we should definitely not assume that datacenter water usage is _always_ benign.

> 1GW of power datacenters, more efficient GPUs, more efficient training, Xiaomi/Deepseek disk based caching + other efficiency gains.

I haven't done the math but if I see how many tokens I can burn per month for 100 USD it's pretty mind boggling to imagine how much capacity is being added by this build out.

This is not the place to discuss it but even in my wildest predictions I find it hard to imagine that we're really going to need all this capacity anytime soon (although I guess anything spare can go into training).

I just bought a used Ayaneo 2 handheld, it has an old(er) mobile RDNA 2 GPU and I was blown away by how well this thing performed under Linux. Almost everything (that's not a recent AAA game) runs beautiful and a lot faster/smoother than it does under Windows. The experience has been so good that I'm considering switching my main pc (with a 9070XT) to Linux as well.

No doubt Timur contributed heavily to this given Valves Steamdeck (which uses a very similar but slower GPU).

Given the current hardware prices it's pretty awesome to see someone squeezing maximum performance out of old hardware!

Yes, see the numbers below. In most games, it's basically unusable if you want to play on 60 FPS or above unless you have a 5090.

The current implementation is more of a tech demo than a practical way to play games (+ officially it's available in 1 game). It's _fast enough_ to make some impressive YouTube videos but you most likely won't want to play anything with it yet.

Nvidia has stated that they're still working on improving the performance. No doubt future hardware generations will also include further hardware optimisations.

The potential for this kind of technology is pretty awesome, especially given that people have also found ways to add this to emulators.

Which is very understandable, the US has better regulations, a truly single market and more money available.

Europe has some very real work to do to stay competitive but fortunately things are slowly changing.

I've worked for a few start-ups in Europe. We have real problems around the scale-up stage, venture capital and taxes + regulations are making things harder than it should be but it would be wrong to assume that there's no (successful) startups at all.

Spotify, Ayden, Revolt and N8N are some examples that come to mind.

Despite all "hate" against AI in the (retro)-gaming scene I'm genuinely excited to see these kind of projects (not sure if this one involved any kind of AI) and emulation.

From a technical perspective emulation is absolutely amazing, it requires deep technical knowledge, an excellent understanding of the source system and the optimisations are on another level.

Amen, I've worked in a few European countries and (outside the big companies and banks) the Swiss love to poke around and experiment.

They do have a tendency to complain (but so do a lot of Europeans) but that complaining does often translate into action (something, seemingly, a lot less common in the south of Europe) so perhaps that gives outsiders the impression that the Swiss are change adverse?

Initial impressions: this is a really strong model and the fact that they reduced prices at the same time makes it an awesome backup model to use when your primary subscription runs out and you need to bridge a few days before it resets.

It also seems to be more willing to just do whatever you ask of it. My favourite benchmark for this is to ask it to download a rom for an old game, that I own. Legal in my juristiction but the US models (except Grok) have a tendency to refuse it.

The biggest challenge with these kind of migrations is training users, especially government employees. Switzerland is relatively highly educated so this might be less of a challenge than in other countries but it won't be easy.

The technical part is probably relatively easy in comparison. Especially because the stakes are low (parallel run with the existing system, good will from everyone involved).

Not only is it unsecured root access to your computer, it also adds a thousand layers of "security" (which will break on every update) to pretend that it's safe.

It's not only that, all this complexity leads to stuff breaking with every update. For a tool that's supposed to just answer chat messages it's impressive how crappy and unstable this software feels. I have it running since the release and my primary usecase seems to be to use the CLI to fix whatever broke this week.

Would not recommend running this, it's the antithesis of the Linux philosophy.

This is a real risk but from the embers of the (current) systems a better one could still rise.

Despite all the big talk from the likes of Wilders and Meloni, the moment that they're in government they do seem to be very willing to cooperate with their European peers.

I have many concerns about the rise of populism in Europe but the (few/very few) good things that might come out of this is that there will finally be (enough?) pressure on the EU to reform.

Despite all their talk about being pro human-rights and pro democracy in practice the voter turnout percentages for the EU elections are extremely low. As an EU citizen I almost never meet someone who's interested or who feel represented by the EU. There's, no doubt, several reasons for it but the biggest one might be that an additional abstraction layer that's cultural too far away from the average voter.

I would agree (not an Icelandic citizen but an EU citizen).

Europe (and Iceland) have many, many challenges and we absolutely need something like the EU to effectively tackle them.

The EU has tremendous potential but a lot of it's current focus seems to be misguided at best, downright evil at its worst.

Let's see if it the EU can tackle the energy and immigration crisis (I'm pro immigration but even I have to admit that the current system is deeply flawed and unsustainable), if it does it would win my respect. Bonus points if we do finally get a (real) single (capital) market.

The EU is definitely better than not having an EU but is absolutely not living up to its full potential as is evident by the low trust in it and the lackluster economic growth of the EU.

I'm afraid we'll need more reforms than just a veto reform before the EU would be effective but it's a good start.

If/when we can get larger context this will mostly be mitigated by these smaller models being able to search the internet.

Self-learning/improving would be even better but that's still a long way to go.

Given that it's not possible to buy the USD 100,- or USD 200,- subscription on a team/corporate plan this effectively introduces the 5h limits again for all corporate users.

At this point the 40 USD/120 USD Cursor Team subscription suddenly becomes a lot more attractive. You'll get more generous limits and a single monthly limit.

There's three options here:

- The provider has a massive amount of (unused) hardware. Google or Cursor seem most likely

- The model is extremely efficient, beyond anything we've seen so far

- Whomever made the model has improved the cache efficiency in such a way that it's very cheap to serve. See e.g Deepseeks or Xiaomi caching (pre-price increase)

Important nuance here is that the €3 for packages from China is a temporary solution and will eventually (2028?) be replaced by a more permanent system which _might_ work out more favourable for electronics.

Having said that, the customs duty will go to the EU budget so there's now a direct incentive for the EU to maintain or perhaps even increase this.

>™Every time I get "you used your quota, come back in 3 hours, or 2 days" -> that is experimentation time with their competition, leading to changed service plans.

I guess this is why they're pushing Claude code hard (not supporting agents.md, not allowing third party harnesses, etc) but when switching to another provider is as easy as opening a new terminal and typing omp/pi/codex your moat is effectively zero.

They can compete on price, quality or value but anything else is just madness. Currently they (arguably) own quality but this won't last.

> Unfortunately, Canada (where I live) will feel way more pain from this than the US. I am not sure Trump will have respect for this at all, but the alternative was to put in a permanent trade deal that significant disadvantaged Canada.

It's unfortunate and in some ways unfair. I hope the Canadian economy will move towards more open trade partners and will proposer.

The thing that I really struggle to understand is what the grand vision behind this is. A logical consequence of the tariffs is that Canada, Europe and other American allies focus more on those who are willing to trade with them, including China.

If I put a 2/3y contract in place with an American supplier, there's a fair chance that I might have to deal with 10-50% tariffs at some point during the contract. This does make (long)-term business deals with the US risky.

It seems that they lack a holistic strategy. All these decisions probably make sense in isolation but together they create a huge mess.

Given the increased pressure from open weight models (still 6 months behind but now more than good enough for most use cases) the frontier labs really have to step up their game.

Switching is as easy as typing /model in most harnesses so there's effectively zero moat.

My Reddit account is 14 years old, I've decided to stop using the website and overwrite all historical comments with a protest message.

I honestly did not enjoy it anymore, almost all subs feel political these days (and the worst kind of politics, American politics ;)), the hive mind downvotes everything that it disagrees with (irrespective of the merit or quality of the message) and you get bans for seemingly everything if the mods disagree with you (/r/UnitedKingdom for criticizing the government motability scheme, /r/Europe for "rape belittlement" for a message in which I mentioned _war crimes_ such as rape. I guess calling it a war crime isn't serious enough...).

Glad to have ditched it! It's a shame there isn't a similar community like old Reddit but I guess we'll get one at some point!

All AI companies are valued as if they'll win the AI race. Problem is, only one can win *

* That is, if a lab like Deepseek doesn't release a "good enough" model for the cost of electricity + a thin margin. Then all AI company lose and all consumers win.

I run my OpenClaw on whatever is the latest GLM model and ever since the release of GLM 5 it has been a smooth ride. The models solve whatever problem I throw at them and the code is good enough that I barely ever have to look at it (to guide the mode). The 5.3 release seems particularly strong, I asked if to audit all the scripts that the previous versions have written and it identified some issues and hard to find bugs.

At work, as an experiment, I used GPT 5.6 Luna + Deepseek 4 Flash for a week (I have an unlimited, "within reason", budget at work so normally I just use Fable and Sol) and it's been perfectly fine.

These models take a bit longer (more turns) to solve problems so they feel a bit slower but the end result is often just as good or nearly as good. Because they're so cheap you can easily run multiple sessions in parallel so it doesn't really matter that they're slower.

I've done a few experiments where I've split my terminal in 4, launched 4 clients (each with a different model, including Fable and GPT 5.6 Sol) and compared the output. For simple and medium complexity work open-weight models are incredible effective.

I can highly recommend the 10 USD/month OpenCode Go subscription. It offers pretty amazing value for the money and is a great way to experiment.