Can’t help but notice some anemic comparisons in the #iPad announcement:
M2 “nearly 50% faster” than M1
M4 “50% faster CPU” than M2
The M1/M2 are no slouch, but sounds like #AppleSilicon CPU performance is plateauing. If the new iPads are not compatible with old ($$$) keyboards, that could further dampen the urge to upgrade.
🎉 NetBSD 10.0 Released With Much Improved Hardware Support & Faster Performance | Phoronix
「 #NetBSD 10 provides #WireGuard support, support for many newer #Arm platforms including for #AppleSilicon and newer #RaspberryPi boards, a new Intel Ethernet drive, support for Realtek 2.5GbE network adapters, #SMP performance improvements, automatic swap encryption, and an enormous amount of other hardware support improvements that accumulated over the past 4+ years 」
> Vulnerability found in Apple's Silicon M-series chips – and it can't be patched
> Hackers can harvest encryption keys from Macs and MacBooks.
> the issue lies with the "microarchitectural" design of the chip. Furthermore, security measures taken to help mitigate the issue would require a serious degradation of the M-series chips' performance.
Hackers have discovered a hardware vulnerability in Apple's M series processors that could allow encryption keys to be extracted. Software-based mitigation would probably degrade performance, but the vulnerability is very hard to exploit. https://buff.ly/4cCBCy6#Vulnerability#Security#AppleSilicon#Apple#GoFetch
Schon im Dezember 2022 veröffentlichte der auch bei uns im #Blog mittlerweile wohlbekannte Entwickler @sindresorhus die auf dem quelloffenen #StableDiffusion-Modell basierende #Freeware#AmazingAI für #macOS, die sich auf #AppleSilicon-Macs verwenden lässt. Nun meldet sich der fleißige Entwickler mit einer Neuerung zu Amazing AI zurück: Die Anwendung ist jetzt auch für iPhones und iPads verfügbar.
I admire #Fedora#Linux#Asahi persistence and commitment to getting Linux at such a significantly usable state on #Apple Silicon #Macs, but the lack of Touch ID and USB Thunderbolt support are non-starters. The great thing though, by the time my #M1 is no longer getting #macOS upgrades, it will have a solid third party operating system. Today, macOS is a polished fully supported desktop OS that works, has really great commercial apps. Any need for third party OS's can best be served by a VM.
When running computational benchmarks on #applesilicon and other platforms it is only fair to run as optimal code as possible for all platforms in question. This is evident in the recent reporting where M3 Pro supposedly "beat" #RTX4090. Newsflash: It did not. The original test ran suboptimal code on the RTX4090. With proper code the RTX4090 crushes Apple Silicon - including fastest M3 Max. This is of course totally expected.
Just to add: I am not disparaging #applesilicon or #apple in any way. Heck I got myself M3 Max 12+4 system recently. This device is a beast, but it still is quite unrealistic to expect it to beat #NVIDIA#RTX4090 in raw compute.
Choosing the correct tool for the task at hand is the key, not what brand the specific device happens to have.