

Why Apple's Siri Is Still So Bad In The Age Of AI… Or Is It?
35 snips Jun 12, 2025
The podcast dives into Apple's struggles with Siri amid rising AI expectations. Listeners learn about the potential of Apple's local inference technology, possibly transforming millions of iPhones into a powerful compute network. There's a spotlight on OpenAI's groundbreaking O3 Pro model, which offers unparalleled business strategies and slash API costs. The discussion also touches on AI companions, raising questions about emotional attachment and loneliness, while revealing the fierce talent war transforming the AI job market.
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Apple's AI Hardware Advantage
- Apple holds a massive advantage in AI due to owning high-performance hardware devices.
- Their AI strategy focuses on on-device inference across billions of devices, not just cloud models.
Apple's MLX Enables Free Inference
- Apple leverages its neural engine and MLX framework for local AI inference on devices.
- This creates a zero-cost, privacy-respecting AI compute network across 2 billion devices.
Small Models, Big Integration Value
- Local models on phones are small and less powerful but can provide highly personalized AI.
- Apple’s moat lies in deep integration and device ecosystem, not just model size.