701–710 of 1001 posts
If anyone is up for benchmarking with one of these - please let me know. Interested to see what FP32 values they have for a site I've been working on [0]. [0]: https://flopper.io
The definitive reasons why you should NOT buy these products. 1. While the hardware and performance are amazing, the user interface is the opposite. Imagine buying a luxury car with amazing performance only to find that simply opening the door is a royal pain, each and every time. 2. Apple will downgrade the usability over time. A year from now, or two, Apple will downgrade your user experience. Imagine that in your…
1. Makes no sense. 2. not true. 3. You can turn features you don't like off, like the AI 4. False. The bootloader is not locked. Linux does work, but it would be nice if they activly worked on kernel modules for their hardware. 5. Macbooks have the longest shelf life of any consumer PC. Period.
Asahi Linux works on M1 & M2 macs, M3 and later are still being worked on. It should eventually get there, but we'll have to wait and see.
The hardware looks amazing! Too bad they will ship with Tahoe installed. I’m not upgrading until I see in which direction the next Mac OS release goes
This. I have been a big (and loud) fan of M-series hardware from the beginning, but if Apple is going to keep making their software worse, I will find myself lingering on older generations that run Asahi Linux or going back to a traditional x86_64 laptop instead of buying into new generations.
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That's a fun comparison, but can you run those 2 m5 pros in parallel to accomplish 2x the work? Otherwise, you just told me you can buy 2 toyota corollas for the price of 1 F-150 while trying to convince me you can haul your boat behind both corollas at the same time.
Maybe not 2x (scaling is never linear) but you can absolutely chain them, and macOS supports RDMA over TB5 for even better performance https://news.ycombinator.com/item?id=46248644 Maybe hold back on the attitude
RDMA is the bare minimum we should expect from a system that doesn't support eGPUs and treats PCI like a foreign language. It's not a long-term solution and even Apple themselves cannot deny this: https://9to5mac.com/2026/03/02/some-apple-ai-servers-are-rep...
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Yeah no it didn’t. If you have a fully speced out M3/4 MacBook with enough memory you’re running pretty decent models locally already. But no one is using local models anyway.
With OpenClaw and powerful local models like Kimi 2.5, these specs make a lot of sense.
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Maybe not 2x (scaling is never linear) but you can absolutely chain them, and macOS supports RDMA over TB5 for even better performance https://news.ycombinator.com/item?id=46248644 Maybe hold back on the attitude
Their point stands. People are just not going to daisy-chain these together for datacenter use. Apple does not take the workload seriously and macOS is not a suitable OS for mass deployment. RDMA is the bare minimum we should expect from a system that doesn't support eGPUs and treats PCI like a foreign language. It's not a long-term solution and even Apple themselves cannot deny this: https://9to5mac.com/2026/03/02/s…
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Was that one of the ones that could do "target display mode" and become a monitor for another machine?
Nope - they removed that feature, so now come the end of the year, they're all e-waste. It feels really stupid to have to throw away a perfectly capable machine with 64GB of RAM in 2026.
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14-billion parameter model with 4-bit quantization seems rather small
On my 24GB RAM M4 Pro MBP some models run very quickly through LM Studio to Zed, I was able to ask it to write some code. Course my fan starts spinning off like the worlds ending, but its still impressive what I can do 100% locally. I can't imagine on a more serious setup like the Mac Studio.