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.