In this conversation, Rob and Kevin delve into the evolving landscape of AI, particularly focusing on image generation, the importance of prompt quality, and the emergence of specialised AI tools.

They share personal experiences with various AI models, discussing their strengths and limitations, and explore the future of AI in creative fields.

Rob and Kevin discuss the evolution of AI writing models, focusing on their unique characteristics and capabilities. They explore the importance of memory in AI interactions, how it shapes user relationships, and the implications for data privacy. The concept of digital doppelgangers is introduced, highlighting the potential for AI to act on behalf of users. The discussion also touches on the economics of personal AI ownership and the definition of agents in AI, emphasising the need for clarity in understanding their roles in software development.

The implications of AI in web development, particularly focusing on the ability to clone websites using AI agents are discussed. They explore the ethical concerns surrounding AI-generated content and the potential for scams.

The discussion also touches on emerging AI tools, the evolution of AI in public, and the importance of establishing standards in AI development. They conclude by examining the competitive landscape of AI models and the future of AI integration into everyday applications.

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