I used to play Squad Leader by myself. My friend gave me his copy because he considered it unplayable. For his 40th birthday, I returned it with all the counters sorted.

Another fan of The Campaign For North Africa.

Intel has been beating mid range AMD and low end Nvidia for over a year so it’s worth looking at.

https://youtu.be/JjdCkSsLYLk

The D is silent like in Django.

Wasn’t that Robin and Marion, the Dean Connery movie?

Increase / decrease infill/wall overlap % seems like the best advice I found while googling.

Imo printing on edge would fix it and make the print stronger but that could require changes to the model / printing with supports.

I have printed ASA on my Anycubic S1. It’s enclosed but doesn’t have an active chamber heater. It uses the bed heater to slowly heat the chamber. It’s $350.

It technically worked the very first time but it still took like 3 prints tuning the temperature to get good layer adhesion. (I was printing extremely thin and narrow parts and the ASA would break along layer lines.)

Going only by YouTube reviewers, the Qidi Plus 4 seems to be the best low end for “engineering” filaments. $700 and out of the box it has a hardened nozzle, high temp hardened extruder, and active chamber heating- plus a 305mm build volume. Even their $400 Q2 has a hardened nozzle and active chamber heating.

While the U1 is incredible, it cannot do ASA out of the box.

If I were to buy another printer, the Snapmaker U1 is at the very top by a huge margin.

But I wouldn’t recommend it for ASA. Out of the box it is an open air printer without active chamber heating.

He’s using the wrong words. No printer has an accelerometer.

Automatic bed leveling requires a printer support it. Klipper can’t do it if the hardware isn’t there. Same with flow rate calibration. Manual in Klipper requires test prints and then editing the config files. Flow rate on modern printers is calibrated automatically using the camera.

Programmers use AI for assistance. It can be good or bad depending on the programmer.

Excel is a really a development environment.

Just like a bad programmer would use AI to write a function to add two numbers, a bad Excel user would use AI to add two numbers. But if you needed a complex formula and were not sure how to start, AI could give a suggestion that might be right or wrong just like using Stack Overflow. It’s up to the programmer to understand and test the results.

Klipper can’t do a bed mesh if the printer doesn’t have a probe.

Manual bed leveling means using a sheet of paper and adjusting bed screws to get it at the right height.

While technically true, the majority of animal farming is “factory farming” such as chickens and all cattle that is finished on grain.

Because I converted some backend processing services from nodejs to rust,

You converted only the functions you needed and only included the functions you needed. You did not convert the entire node.js codebase and then include the entire library. That’s the problem I’m describing. A few years ago I toyed with javascript to make a LCARS style wall home automation panel. The overhead of what other people had published was absurd. I did what you did. I took out only the functions I needed, rewrote them, and reduced my program from gigabytes to megabytes even though it was still all Javascript.

This isn’t Reddit. You don’t need to talk in absolutes.

I haven’t posted anything on reddit in years. There is no need to start off a post with insults.

re: garbage collection

I wrote java back in 1997 and the programs used a few megabytes. Garbage collection doesn’t in itself require significantly more ram because it only delays the freeing of ram that would have been allocated using a non garbage collection language. Syntatic sugar like iterators does not in general save gigabytes of ram.

The OP isn’t talking about 500k apps now requiring 1MB. The article talks about former 85K apps now taking GB’s of ram.

Writing in Rust or “an efficient language” does nothing for ram bloat. The problem is using 3rd party libraries and frameworks. For example a JavaScript interpreter uses around 400k. The JavaScript problem is developers importing a 1GB library to compare a string.

You’d have the same bloat if you wrote in assembly.

He’s a Dapper Dan man!

You definitely want to rub it off and not have it evaporate. Otherwise the oil will settle back onto the plate.

A few years ago I bought some used Lenovo Xeons on eBay. Xeon E-2276G, 2224G, 2174G.

The 2224G pulls 15 watts streaming 4k videos with Plex. They are available for under $500.

For desktop, any AMD mini PC like a Beelink will work well and many are under $500.