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00:00 - Intro & Microphone Anecdote 01:00 - Office Setup, Moving Locations & Remote Work 02:10 - Apple’s AI Overpromises & Hardware Advances 05:00 - Real-Time Voice AI (OpenAI & Google Examples) 06:20 - Developer Integration & Ecosystem Growth 08:00 - High Costs of Running AI - Microsoft 10:00 - Everyday Productivity Gains with AI Tools 13:40 - Camera Hardware with On-Device Neural Networks 14:30 - Wearables, AR, and the Convergence of AI & Hardware 15:50 - AI’s Long-Term Vision & Concluding Thoughts In this episode, we take a look at the current landscape of artificial intelligence—where it’s been, how people’s perceptions have evolved, and the exciting developments still on the horizon. We discuss the way initial hype around AI has given way to more practical, everyday uses that now feel familiar and even expected. From Apple’s incremental yet meaningful improvements to voice assistants, to Microsoft’s colossal investments in powering ever-more-advanced data centers, the conversation highlights how the technology continues to mature beneath the surface. We also explore the merging of hardware and AI, such as new camera sensors that integrate neural networks for real-time video analysis, as well as wearables and AR/VR devices that are gradually taking center stage. By looking beyond the immediate consumer-facing tools—and sometimes underwhelming first impressions—we find a world of rapid innovation and convergence. Whether it’s voice-enabled interfaces, integrated shortcuts, augmented reality glasses, or breakthroughs in computer vision, the AI-driven future is coming together piece by piece.