Stampela

Fair, but neither is the regular kind. Generally speaking, lasagna, tagliatelle: eggs. Spaghetti, fusilli, penne and so on: no eggs.

Edit: actually, might be worth pointing out that this is in Italy. It’s true that recipes can change wildly in different countries…

Going with no, at least if you require the “pasta” to be the same thing for both, ingredients wise.

Please notice how the spaghetti have no egg (uovo) in the ingredients, as opposed to the lasagna.

I think on my system it’s causing reboots. Not fun.

There’s coffee in that nebula!

I have a few examples that I hope retain their metadata.

Seed mode is… basically, I stopped using Automatic1111 a long time ago and kinda lost track of what goes on there but in the app I use (Draw Things) there’s a seed mode called Scale Alike. Could be exclusive, could be the standard everywhere for what I know. It does what it says, changing resolution will keep things looking close enough.

Edit: obviously at some point they had to lose the bloody metadata….

“Better quality” is an interesting concept. Increasing steps, depending in the sampler, changes the image. The seed mode usually changes image with changes in size.

So, what exactly do you mean with “better quality”?

AFAIK Rosetta deals with Intel Mac apps, not Windows. If this handles Windows games like Proton does… pretty big news!

Oh yeah, new tech is cool and potentially useful. My point was that this particular excitement is not too likely to improve anything on the current hardware we have.

The thing with “AI” or better still, ML cores, is that they’re very specialized. Apple hasn’t been slapping ML cores in all of their cpus since the iPhone 8 because they are super powerful, it’s because they can do some things (that the hardware would have no problem doing anyway) by sipping power. You don’t have to think about AI as in the requirements for huge LLM like ChatGPT that require data centers, think about it like a hardware video decoder: This thing could play easily 1080p video! Or, going with raw cpu power rather than hardware decoding, 480p. It’s why you can watch hours of videos on your phone, but try doing anything that hits the cpu and the battery melts.

Edit: my example has been bothering me for days now. I want to clarify to avoid any possible misunderstanding that hardware video decoding has nothing to do with AI, it’s just another very specialized chip.

Uh, I feel like this is better taken with a low level of enthusiasm: reading the article there’s no mention of how it’s supposed to improve battery, it’s mentioned how it’s AI based, and most concerning for us, both the Ally and Go use the Z1/Z1 Extreme… that have a 10 tops npu.

My record that I’ve never been able to match in Tokyo Jungle was in remote play on the PSP from the PS3. When I got a PS Vita TV I tested remote play, got sidetracked and spent the afternoon playing Destiny. I’ve played a couple of times World of Tanks on the phone with the official app (and a gamepad obviously, I’m not insane lol).

Sony’s very, very good at this. Granted the AMD video encoding is not as good as the Nvidia one annoyingly, but it’s up there as average quality.

Now I will say this… if you ever tried it using WiFi? Yeah, for whatever reason Sony’s WiFi chips are a dumpster fire on home consoles, acceptable on handhelds. That would’ve entirely explained your experience.

Now, if you want actual garbage, look no further than the Xbox: when I got the Series S I tried it wired to my desktop, and it was a laggy, overly compressed mess. Far worse than the time I tried OnLive through a VPN because it was not available in Europe, and that’s an achievement.

I’m thinking it looks like the print gets to a spot where it can get faster, and your hot end can’t keep up with the temperature required by that filament, causing under extrusion. If my guess is correct, it would show on a small test print (same settings) where you get looooong straight lines to allow for speed. And would disappear by slowing down. Since it looks like a relatively expensive filament I suggest you wait for more feedback before trying my test, just in case I got it wrong and my test would waste some filament for nothing.