In this episode of Generative Now, Michael Mignano hosts Steve Jang and Scott Belsky to discuss the current state and future of consumer AI products. The conversation begins with the observation that AI products haven't yet made a significant impact, with most discussions still centered around foundational models like ChatGPT and Claude. The panel explores potential reasons for this, including the novelty of AI, the learning curve associated with LLMs, and the natural adoption of chat interfaces. They then delve into the concept of personal AI, emphasizing the importance of context and memory, and discuss potential applications such as AI proxies, wingman services, and the personalization of online experiences. The conversation shifts to the role of memory as a moat and the potential risks of LLMs controlling portable memory, leading to an ad-driven dystopia. Finally, they examine the hardware landscape, highlighting the opportunities for startups in AI hardware and the potential for a hardware "ChatGPT moment," as well as the reinvention of browsers as AI co-pilots for internet applications.
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