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After several days of usage, Activity Monitor will usually shows that "WindowServer" is using 6 GB of RAM.

Yeah, 8 GB RAM does not cut it anymore. At least until Apple start fixing the memory leaks in MacOS.

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Unused RAM is wasted RAM. If your machine isn't reporting memory pressure and/or the user isn't experiencing pageouts, then the machine is well-suited to the user's workload.
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I'd rather my ram go to my page cache, not have bloated apps hoarding it.
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But I thought Electron was the future?
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Have you tried turning it off and on again?
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Indeed, as I used to tell my ops colleagues when they pointed to RAM utilization graphs, "we paid for all of that RAM, why aren't we using it?"
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because memory access performance is not O(1) but depends on the size of what's in memory (https://www.ilikebigbits.com/2014_04_21_myth_of_ram_1.html). Every byte used makes the whole thing slower.
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do you also say that about hdd space? about money in the bank?
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In macOS 15 there are two metrics: "Memory used" and "Cached Files"

I'm specifically talking about "Memory used" here.

In fact, on my 16GB mac, if I open apps that use ~8GB of RAM (on top of the 5GB I mentioned earlier), it starts swapping.

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When you open up Activity Monitor, to the immediate left of the "Memory Used" and "Cached Files" that you see, you'll see the Memory Pressure graph that the guy above is talking about.

On my 64 GB M1 Macbook Pro right now, I have 53.41 GB of Memory Used and 10.72 GB of Cached Files and 6.08 GB of swap, but Memory Pressure is green and extremely low. On my 8 GB M1 Macbook Air I just bought for OpenClaw, I'm at 6.94 GB Memory Used and 1.01 GB of Cached Files with 2.05 GB of Swap Used, and Memory Pressure is medium high at yellow, probably somewhere around 60-70%.

You can open up the Terminal and run the command memory_pressure to get much more detailed data on what goes into calculating memory pressure - more than just the amount of swap used, it tracks swap I/O and a bunch of page and compressor data to get a more holistic sense of what's going on and how memory starved you're going to feel in practice.

In any case - I've been absolutely mindblown at how fast my 3 8GB M1 Macbook Airs I just bought for ~$350 brand new have been - even with tons of Chrome tabs open, multiple terminal windows open, running OpenClaw and Claude Code and VS Code and doing a ton of development and testing, never once have they ever felt slow. Oftentimes they actually feel faster than my 64 GB M1 Macbook Pro, which kind of blows my mind and makes me wonder wtf is going on on my monster machine. Moreover, my M1 Macbook Pro drains battery like crazy and uses a ton of charge, whereas the Macbook Airs stay constantly below 10 watts essentially always and even with Amphetamine keeping them on 24/7, with the display off and being fully on, they'll drop to a single watt of power draw. Truly insane stuff. I've lost all my concern about RAM, to be honest (which is shocking coming from someone who bought a top of the line maxed out RAM primary machine in 2021 specifically because I felt like RAM was so important)

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> I've been absolutely mindblown at how fast my 3 8GB M1 Macbook Airs I just bought for ~$350 brand new

Wait what? How did you manage that?

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OpenClaw found some sweet deal? /s
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Yes, the person you are replying to has explained that.

The old mental model of how ram and swap works doesn't fit neatly to how modern macos manages ram. 8GB is acceptable, although on the lower end for sure.

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How do you define "swapping?" Even on Intel Macs, the memory statistics don't map the way one might expect. Be careful when making assumptions about what those metrics actually mean.
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I mean at that point (13 GB memory used), the "Swap used" is at several hundred megabytes.

And if I more apps (or browser tabs), the "Swap used" keeps increasing, and the "memory pressure" graph switches color from green to yellow.

The color of that graph is the indicator I'm using to know that I should close my browser tabs :p

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I remember when Windows Vista had to contend against the same allegations when it was released. It did have a higher memory footprint, but a lot of the ridiculous usage numbers people had published were the SuperFetch just precaching commonly used programs to give better application startup times.
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It also compresses memory. Many things in ram compress really well.
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Memory compression is a feature on Windows PCs for years (decades maybe?), it somehow doesn't prevent people from raising valid complaints about swapping with 8Gb or RAM.

I wonder, why is it physically painful for some Apple owners to admit that 8Gb is not enough. Like, I'm using PCs for years and I will be the first in line to point their deficiencies and throw a deserved stone at MS, they never cease to provide reasons. Why is it so different at the Apple?

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> I wonder, why is it physically painful for some Apple owners

This wasn't necessary. I was just pointing out that 8GB hardware is not the full story. It's also true with windows, as you correctly point out. If you're coming from Linux, it's a relatively new feature to have on by default, so you might be pleasantly surprised.

Also, I'm an Apple owner and I have no problem saying it's not enough for anyone on this website. I tried it for a few years as my "second screen" computer, and would bump against it all the time, with glorious screeching as the audio skipped. But, I'm also a developer/power user.

Not everyone is a power user, and non-power users are the target audience for this. Clearly.

8GB has been completely fine for every non power user I know. The majority of people just open some webpages, maybe some office tools (rarely outside of browser), and play some music, at the same time. It's completely acceptable for that, and that should not surprise you, as someone who has an understanding of memory usage and paging, and high bandwidth SSDs, in the slightest.

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> I'm typing this on an 8 GB MacBook Air and it works just fine.

Most cool. Is it an M1?

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Not the OP, but I have an M1 MBA and it handles light "coding" stuff quite well, though haven't tried VSCode+Zoom+bunch of other stuff, as my work laptop is a M1 MBP.
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Same. I've been programming in Go on an M1 for years and perf is spectacular.
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What are you slicing?

What do you find compelling with Prusa slicer over orca slicer?

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I'm printing a new multi-laptop stand that can accommodate a work laptop I've just received. I've actually never used Orca, PrusaSlicer is the first one I tried and it's done everything I've needed.
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There's a lot of different kinds of "using". "Memory pressure" includes some kinds of caching (ie running idle daemons when they could get killed) and not others (file caching). And there are also memory pressure warnings (telling processes to try to use less memory), so there's a lot of feedback mechanisms.

I don't suggest sitting and looking at Activity Monitor all day. I think that is a weird thing to do as a user. If you would like to do that in an office in Cupertino or San Diego instead then you can probably figure out where to apply.

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i think the main point that GP was trying to make is that depending on the workload 8gb of memory might not be an issue.

the keywords here are "depending on the workload".

edit: i was thinking that it's gonna be interesting to see i/o performance on storage, that might end up determining if those 8 gigabytes are actually decent or not.

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