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Apple M5 chip

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Re: Apple M5 chip

#131

Earlier quoted context omitted.

If you don’t use AI for climate reasons then you should read the recent reports about how little electricity and water is actually used. It’s basically zero (image and video models excluded). Your information about this is probably related to GPT3.5 or something. Which is now 3 years old - a lifetime in AI world.

Don't newer models use more energy? I thought they were getting bigger and more computationally intensive.

They use a massive amount of energy during training. During inference they use a tiny amount of energy, less than a web search (turns out you can be really efficient if you don't mind giving wrong answers at random, and can therefore skip expensive database queries!)

Re: Apple M5 chip

#132

Earlier quoted context omitted.

[flagged]

What I have seen with iPhones is that the ram has gone from 4gb to 12gb very quickly compared to how it went from 1gb to 3gb. Apps used to use less ram but over the years apps have become big and more complicated. This is probably why iPhones feel sluggish because new iPhones have more memory and apps snap back faster as newer iPhones which also have faster storage and memory bandwidth to reduce latency of reading mo…

Apps are heavier because a lot of them do not use native code. It's all cross platform BS. And they include a lot of A/B code as well. Really wish Apple would nip that all in the bud.

Re: Apple M5 chip

#133

And here I am, selling my Macbook M4 Pro to buy a Macbook Air and a dedicated gaming machine. I've tried gaming on the Macbook with Heroic, GPTK, Whiskey, RPCS3 emu and some native. When a game runs, the performance is stunning for a Laptop - but there is always glitches, bugs and annoyances that take out the joy. Needles to mention lack of support from any sort of online multiplayer, due to the lack of anticheat sup…

What about wine flavor from crossdressers?

Pretty sure you don’t mean crossdressers!

Codeweavers?

Re: Apple M5 chip

#134
post #87

First time seeing Apple using "AI" in their marketing material. It was "Machine Learning" and "Apple Intelligence" before...

Unfortunately, they have also succumbed to the AI hype machine. Apple, calling it by its actual name "machine learning" was about the only thing I still liked about Apple.

Re: Apple M5 chip

#136
post #69

Earlier quoted context omitted.

Except community-developed open source software, which (slowly, perhaps) keeps getting better and has high resistance to enshittification.

Remember log4j? I don't share your enthusiasm. At least its open source and free I guess.

That was a bug, not at all the same thing as enshittification.

Re: Apple M5 chip

#137

The M5 MacBook Pro still gets the Broadcom WiFi chip but the M5 iPad Pros get the N1 and C1X (Sweet). All in all, apple is doing some incredible things with hardware. Software teams at apple really need to get their act together. The M1 itself is so powerful that nobody really needs to upgrade that for most things most people do on their computers. Tahoe however makes my M1 Air feel sluggish doing the exact same task…

> Tahoe however makes my M1 Air feel sluggish doing the exact same tasks ive been last couple of years.

I have a work provided M2 Pro with 32GB of RAM. After the Tahoe upgrade it feels like one of the sluggish PCs at the house. It is the only one that I can see the mouse teleporting sometimes when I move it fast. This is after disabling transparency in Accessibility settings mind you, it was even worse before.

Re: Apple M5 chip

#138

The M5 MacBook Pro still gets the Broadcom WiFi chip but the M5 iPad Pros get the N1 and C1X (Sweet). All in all, apple is doing some incredible things with hardware. Software teams at apple really need to get their act together. The M1 itself is so powerful that nobody really needs to upgrade that for most things most people do on their computers. Tahoe however makes my M1 Air feel sluggish doing the exact same task…

As a UI/UX nerd, it’s a coin flip on intentionality. I’ve been noticing so many rough edges to Apple’s software when it used to astound. iOS Settings search will flash “No Results” as you begin to type which is comically amateurish. The macOS menu bar control panels can’t be keyboard navigated... It’s just silly.

I’ve been debating making a Tumblr-style blog, something like “dumbapple.com,” to catalogue all the dumb crap I notice.

Re: Apple M5 chip

#139

Earlier quoted context omitted.

Sixteen years ago, John Gruber wrote: > Hardware and software both matter, and Apple’s history shows that there’s a good argument to be made for developing integrated hardware and software. But if you asked me which matters more, I wouldn’t hesitate to say software. All things considered I’d much prefer a PC running Mac OS X to a Mac running Windows. https://daringfireball.net/2009/11/the_os_opportunity At the time I…

That’s so wild to me - my personal laptop is still a Mac but I’m in windows all day for work. Some of the new direction of macOS isn’t awesome but the basics are still rock solid. Touchpad is perfect, sleep works 100% of the time for days on end, still has UNIX underneath.

The basics are not rock solid. Even a core feature such as remote management crashes and freezes every 5 minutes when you connect from a non-apple machine, many have reported this over years but Apple just does Apple. Safari is still atrocious when it comes to web api supports. The worst part is, with Apple, we do not know if these are intentional anti-competitive barriers or actual software bugs. I purchased a mac mini simply to compile apps via xcode and can say the core experience is MUCH more buggy than a fresh Windows or Ubuntu install.

Edit: Hard to call intentionally preventing support for web apis a power user thing. This creates more friction for basic users trying to use any web app.

Edit2: lol Apple PR must be all over this, went from +5 to -1 in a single refresh. Flagged for even criticizing what they intentionally break.

Re: Apple M5 chip

#140
post #2

This is only the base model, no upgrades yet for the Pro/Max version. The memory bandwidth is 153GB/s which is not enough to run viable open source LLM models properly.

153 GB/s is not bad at all for a base model; the Nvidia DGX Spark has only 273 GB/s memory bandwidth despite being billed as a desktop "AI supercomputer".

Models like Qwen 3 30B-A3B and GPT-OSS 20B, both quite decent, should be able to run at 30+ tokens/sec at typical (4-bit) quantizations.

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