<ul><li>The rise of AI challenges the notion that solutions must be fully understood before being considered valid.</li><li>AI models operate beyond human comprehension, emphasizing functionality over explainability.</li><li>Designing with AI requires embracing emergence and exploration, shifting from a rigid understanding-centric approach.</li><li>AI companies like Anthropic and Linear prioritize experimentation over strict problem-solving methodologies.</li><li>Historically, transformative inventions often emerge through experimentation before full comprehension.</li><li>AI accelerates this pattern, requiring designers to adapt to its probabilistic nature.</li><li>Designers must let go of the need for complete control and embrace ambiguity in AI design.</li><li>Crafting interfaces that guide behavior and prioritize steerability over explainability is crucial in AI design.</li><li>Embracing emergence allows for the evolution of systems and unexpected capabilities to surface and refine through use.</li><li>Designers are urged to work with the unknown, prioritize discovery, and shape emergent systems effectively.</li></ul>

The end of design certainty

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