M4 is also powerful for AI, with faster memory bandwidth and an incredibly fast Neural Engine — benefiting everyone from college students transcribing lecture notes, to creators storyboarding a new project, to business users polishing emails. With the new iPad Air, unified memory jumps 50 percent, to 12GB, and memory bandwidth increases to 120GB/s, helping users run AI models faster. The 16-core Neural Engine is 3x faster than that of M1 and is perfect for everyday tasks that use on-device AI, like searching for subjects and texts in photos, or leveraging powerful AI features in apps like Goodnotes and Onform: Video Analysis App.2 The Neural Engine also powers capabilities in Apple Creator Studio apps, like removing the background of video footage with Scene Removal Mask in Final Cut Pro.
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This isn't an argument against platforms like Vapi or ElevenLabs. Those systems offer far more than orchestration: APIs, observability, reliability, and deep config options that would take real effort to reproduce. For most teams, rebuilding all of that would be a mistake - being able to test and validate a voice agent app without getting to this level of technical depth is truly amazing, and that's how I first got excited about the technology.
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