Yes, and these blimps are something where the optics are VERY important to getting funding. Its not a rocket where blowing up is the expectation.

Whats best is always regional.

Overbuilt is going to win at, say, the edge of the gobi desert.

But its not going to necessarily be practical at high latitudes, or locations with tons of rain/cloud cover, or places where geothermal is easy.

Precisely.

I actually forgot about this.

Im still convinced its marketing now, whether the leak was intentional or not.

Theres no such thing as bad attention in 2026. All that matters is that this leak is viral, and now everyone is talking about GTA.

Also, I have a question.

…Who is buying the unhealthy/sexualized stuff? Is it mostly Japanese teens, international internet dwellers, who?

Because there must be demand for this if they keep making it.

What’s the ratio of good movies and TV shows to bad ones?

Much, much higher, if we’re talking about creepy tropes.

Plenty of TV and cinema is bad, but thats different than the specific creepiness we are discussing.

Additionally, popular, high profile, critically acclaimed anime seems to suffer from this too. Not universally, but when I tried to get into anime it was hard to avoid.

The list gets somewhat longer if you count “animesque” western animatin.

Well, competition is stiff. I suspect there are better coop games to try, unless the Noodle household is really into Horizon lore and stuff.

This is a great sign.

It’s Sony looking at sales and all-but-explicitly concluding “okay, we get it. Live service grind is out, comfy couch coop is in.”

Yeah.

Don’t get me wrong, I don’t want to touch projects vibe coded to this level, going solely on past experience with them.

But I am scientifically curious about its functionality.

Yeah, in that case it’s sus.

Does it actually work, though?

Oh yeah… yeah, it doesn’t seem like it’s client/server or anything. It’s just a CAD program?

I dunno if it fits the “vibe coded” label though, as it appears to work well. I tend to apply that to projects where the devs clearly have no idea what they’re doing (and end up with something really bloated and janky, yet hyped a ton).

Why is a post about a CAD program being downvoted so much?

I mean… it’s clearly an issue for some. OP’s system is swapping the SSD when it clearly should not be doing it. My system had horrible usability issues in some scenarios without tons of configuration, and thrashed my SSD for no benefit.

The default heuristic is not good for our systems.

And support for TRIM and whatever else was added for SSD support is not really the issue, here.

I disagree with most here.

You need to reduce swappiness even more, and tweak some other variables (like the memory “threshold” Linux starts to swap, and disk cache aggressiveness) to stop Linux from swapping so opportunistically under such a light load.

IMO, Linux is configured for “old” systems by default: slow HDDs, and constrained RAM pools, where disk IO really, really needs caching, and where idle background processes take a large fraction of RAM.

You have superfluous RAM for your workload. And very fast disk IO that isn’t such a hindrance to apps anyway. And a disk you don’t want to wear. This is the opposite scenario: you don’t want Linux to swap unless it absolutely has to.

For reference, this is part of my config. It’s rather niche and you probably shouldn’t use it, but you should consider looking up the variables:

‘’‘

Keep min reserve reasonable for 8GB usable space

vm.min_free_kbytes = 262144 # Lower absolute minimum to 256MB

vm.watermark_scale_factor = 10 # Lower to 0.1% (which is ~128MB on 128GB)

Disable watermark boosting completely

vm.watermark_boost_factor = 0

Normal-ish metadata pressure so desktop doesn’t stutter on disk reads

vm.vfs_cache_pressure = 120

Allow reasonable swapping of inactive anonymous desktop pages, could be lower

vm.swappiness = 10

Dirty bytes limits to limit caching

vm.dirty_background_bytes = 67108864 vm.dirty_bytes = 268435456

Disable compaction & proactive scans to stop freezing with large portions of RAM blocked

vm.compaction_proactiveness = 0 vm.compact_unevictable_allowed = 0

vm.page-cluster = 0 # 4kb pages for SSD ‘’’

It makes a night-and-day difference for some workloads on my system, that would otherwise swap pointlessly, just tank performance and even de-stabilize the system.

It’s “free ram” until stuff actually goes in swap.

It depends on the scenario, of course. Maybe you have huge, totally idle processes, and active ones working from an HDD that need cache desperately, in which case this is good.

But my experience with Linux is that is waaay to aggressive with this, in most configs, and I get far better performance from configs that avoid swap until it absolutely has to be used.

Unfortunately condensation is, indeed, an intractable issue there.

Sometimes people put a heat pump in water cooling loops, where condensation along the pipe can be mitigated with insulation, but even that’s a little risky with a 5090 these days.

Duct it!

I have a 400W 3090 with zero case fans.

Its always cool, because I bought like $10 of weather stripping to “seal” its intakes against the edge of an SFF case. So it’s always sucking in ambient air:

Image

Image

You can also severely undervolt a 5090 to like 250-300W, with very little performance impact. Honestly its stock speeds are kind of crazy.

First of all, I mean zero offense with any purchase decision. A 5090 is very good.

…But if I were paying that kind of money, I’d probably get a 4090 and a new motherboard/CPU instead. Maybe a used DRR4 threadripper system.

Hybrid (CPU + GPU) inference is where it’s at these days. It opens up a whole world of huge MoE models. And having a big CPU is much more important for that than having a 5090 instead of a 4090 or something.

Be aware that you pay a significant performance penalty for going over occulink.

Even my old 3090 got a huge jump going from a PCIe 3.0 x16 riser to a PCIe 4.0 one.

• It’s just under 300B, trained at FP4; absolutely the perfect size for servers with 128GB-192GB CPU RAM to spare.

• Its fast. I’m getting 17 tokens/sec on a single RTX 3090 GPU, all experts offloaded to RAM; for a 300B model this smart, that’s crazy fast.

• Its attention mechanism is cutting edge, good for long context without too much processing time.

• The benchmarks for coding/agenic usage are absolutely bonkers, within margin of error of frontier models or Deepseek Pro in some cases: huggingface.co/…/DeepSeek-V4-Flash-0731

• …Though I don’t put much stock in benchmarks. And I haven’t tested it enough to tell you if it lives up to that hype for specific use cases.

• Deepseek also publishes its base model. That means I can “unfry” the model with a merge if I have to.

I am afraid of the the model being “overfit” to coding and agenic stuff.

For reference, my previous favorite model was Xiaomi MiMo V2.5 310B. It benched well, but it also smelt “smart” outside of benchmarks, like in knowledge of trivia without tool usage/internet access or comprehension of weird questions.

I know this isn’t everyone’s cup of tea, but I’m excited about Deepseek V4 flash. It’s (for me) the perfect size and architecture to self-host and LLM.

My box is chugging through a queue:

• Figure out why my swap is going crazy, and how to ban processes from it [Done].

• Make an ik_llama.cpp iMatrix for Deepseek V4 [Done].

• Figure out what quantization isn’t working [Done].

• Make a test IQ2_KL/MXFP4_R8 quant to see how it does squeezed onto my box [in progress].

• Test. Inevitably troubleshoot the dozen other things that go wrong. Figure out how much spare RAM that leaves me.

• Make a higher quality IQ3_KT quantization. This will take all night.

• KLD test both of them vs the full precision, to quantify quantization loss. Likely an overnight task, too.

• Try merging the new model release with the base model, 50/50, for a less “deep fried” model. imatrix, quant, test.

It’s not linux’s job to be an ethical gatekeeper, within reason.

Let me ask you this; if you’re from a certain country, from a certain background or whatever, should you not be allowed to contribute the kernel? What about its usage; should certain entities not use it?

Devs of open source projects find out others doing things they don’t like with their code. Or find major contributors have backgrounds they don’t like.

Happens all the time; drama ensues. But at the end of the day your permissively licensed project is out there, the work on it is done by whoever’s already contributed.

I’d assert LLM agent usage is the same. Maintainers don’t have to like them, but it’s not really Linux’s job to judge who (or what) wrote the contribution; just if the code is good, or not.

Now, should LLMs be maintainers? Hell no.

Should they blindly contribute code? Hell. No. Hence the policy requires a human to be responsible for it: docs.kernel.org/process/coding-assistants.html

Among all the horrid types of racism in the racism zoo, this one makes the least sense to me.

…Have they ever met a “race-mixed” person? They’re freaking gorgeous. Like, how can ostensibly justify this?

All true.

I’m just saying I can understand how people got in that mindset. I think the hate should redirected to the actual perpetrators: the Tech Bros.

To be fair, many have had their workplace enshittified by AI, or managers with AI psychosis.

Or fired over it.

…I think it’s understandable for people to be pissed, and take an absolutionist position, as the leads who see it as a tool seem to be few and far between.

+1

Proof is in the puddin’.

If people think this will poison the kernel, well, see if it happens. If it does, fork it from an earlier point.

It’s not just Linus though. This is the exact position of many devs all over the world, ones who are still doing a good job and have clearly not fallen into AI psychosis.

+1

Especially in regards to the nonsense that transformers LLMs will somehow lead to AGI. That is complete nonsense. The bubble is going to pop, and it’ll become a cheap utility.

Meanwhile, algorithmic optimization is basically the root of many world problems.

Also, if you have a more specific question about memory types, I can try to answer them.

But honestly my knowledge getting dated too. For example, I don’t know much about the specifics of GDDR7 (RTX 5000 memory) off the top of my head.