Apple's new M6 and M5 Ultra chips promise up to 4.5x more on-device AI power. Plus: Google is cracking down on Android apps as the industry's AI-driven memory shortage starts hitting everyday phones.
Apple unveiled its 2-nanometer M6 chip and quad-die M5 Ultra this week — its first chip built on a 2NM process and its most powerful ever. Ashley breaks down what that actually means: a new three-tier CPU layout, dual neural engines, and up to 4.5x more GPU compute, all heavily optimized for running AI locally instead of in the cloud. Daniel raises the question a lot of Mac users are asking — how much of Apple's on-device AI is really just Siri leaning on Gemini under the hood.
Then: as the AI data center boom drains the global supply of memory chips, Google is stepping in with new Android app quality requirements, taking effect February 2027, aimed at cutting memory usage and forcing code optimization. Daniel traces the trick developers have used for decades to work around tight memory (yes, the original Xbox is involved), and Ashley makes the case that this isn't just a performance play — with a large base of older, low-memory phones still in use, it's a safety move to stop apps from overloading devices and overheating batteries.
AI news you should know about, in under 10 minutes!
In this episode: (00:35) Apple's M6 and M5 Ultra chips explained (01:17) What "2NM" actually means for on-device AI (01:47) Local AI vs. the cloud — and how much of it is really Gemini (02:51) AI's memory crunch is coming for Android apps (03:32) The Xbox-era trick developers use to work around limited memory (03:58) Google's new app requirements, effective February 2027 (04:32) Why this is really a safety issue, not just a performance one
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