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The innovation team operates on two principles. First, they identify and close the gap between what current AI models can do and how people actually use them. Second, they imagine what models will be good at in six months and start building the products for that future state today.
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When building consumer AI applications, founders shouldn't be constrained by today's models. The advice is to anticipate rapid model improvement and design products for capabilities that will exist in the near future, a strategy described as "skating to where the puck is going."
In the fast-evolving AI landscape, building for current capabilities means a product will be obsolete upon launch. Ambience actively predicts AI advancements 18 months out and designs its products for that future state, treating the present as a constantly shifting foundation.
Anthropic prototypes features like code review even when model accuracy is too low for a public launch. This allows them to identify what's missing and be ready to immediately swap in a new, more capable model to close the gap and launch ahead of competitors.
To create a breakthrough AI product, design its capabilities around the projected power of models six months out. This means accepting poor initial performance, but ensures you'll be perfectly positioned when more capable models are released.
Anthropic's product managers on the research team spec out requirements for each new AI model, defining what it should be good at (e.g., coding, knowledge work). This product development discipline is applied to the inherently unpredictable process of "growing" a model, bridging the gap between research and user needs.
A major focus for OpenAI's design team is the growing gap between what their models are capable of and what users actually know they can do. The design team's job is to create interfaces and tools that expose the model's full potential to the user.
When developing AI-powered tools, don't be constrained by current model limitations. Given the exponential improvement curve, design your product for the capabilities you anticipate models will have in six months. This ensures your product is perfectly timed to shine when the underlying tech catches up.
In the rapidly advancing field of AI, building products around current model limitations is a losing strategy. The most successful AI startups anticipate the trajectory of model improvements, creating experiences that seem 80% complete today but become magical once future models unlock their full potential.
To innovate at the speed of AI, adopt the mindset that anything you build today could be made obsolete by next week's model release. This forces you to hold ideas loosely, constantly update your beliefs, and prioritize learning and exploration over perfection.
A new product development principle for AI is to observe the model's "latent demand"—what it attempts to do on its own. Instead of just reacting to user hacks, Anthropic builds tools to facilitate the model's innate tendencies, inverting the traditional user-centric approach.