Siri's lackluster performance for over a decade is reframed not as a failure, but as a vision that was 15 years ahead of its time. The initial 2011 launch was an ambitious bet on a future where the underlying AI technology would eventually catch up, which is only happening now.

Beyond task completion, large language models can act as profound conversational partners. By synthesizing the entirety of written human thought on a topic, interacting with an AI can be like debating 'all of humanity' at once, offering a unique tool for deep exploration.

Historically, curiosity was hampered by the effort required to find answers. By closing the gap between question and answer to mere seconds, AI removes this friction and can potentially trigger an explosion in learning and exploration for a broad population.

Siri's recent AI-powered relaunch at WWDC comes 15 years after its initial debut. This demonstrates Apple's commitment to a core product vision, patiently waiting for the broader technology industry's capabilities (like LLMs) to catch up and make the original promise a reality.

The long-term career value of AI isn't in getting answers, but in asking deeper questions. Professionals who use AI tools to simply get the output will be commoditized. Those who use them with deep curiosity—to understand the underlying principles of their field—will be the ones who innovate and lead.

The dominant paradigm of interacting with computers through graphical user interfaces (GUIs) is temporary. The future is a single, conversational AI agent that acts as an operating system, managing all your data and executing commands directly, thereby making applications and their visual interfaces redundant.

Unlike past technologies that merely extended our intellect (e.g., spreadsheets), AI can connect with people emotionally. This humanistic quality is its most beautiful and powerful aspect, which leaders should embrace rather than fear.

Apple is replacing Siri with a chatbot, a strategic reversal of its long-held view that AI should only be woven into existing features. This acknowledges the market success of conversational interfaces popularized by OpenAI and Google, suggesting a dedicated chat experience is now essential for a modern OS.

Current AI interaction is a one-way command from user to model. The next generation of tools will behave more like human collaborators, asking clarifying questions to resolve ambiguity and better understand the user's intent, just as a professional at a creative studio would.