Why AI Can Fold Proteins But Can't Tell You What to Eat | Abhishek Singh | TEDxBoston

Core Problem & Solution - Current AI, despite advancements, struggles with complex health-related questions due to lack of coordination and a unified language [1][2][6] - The proposed solution is a formal language for AI agents to collaborate, share insights, and improve each other's capabilities in the health domain [6][11] - eon.health is developing this technology into a tool for individual use, enabling programmable health [12][13] Key Features & Benefits - Trustworthiness: Enables exchange of key insights, not just raw data, across fragmented data sources [14] - Collaboration: Allows different AI agents to build on each other's insights and hypotheses through a unified language, leading to self-improvement [15][16] - Programmability: This unified language allows high-level intentions to be translated into reliable, machine-executable code, similar to programming languages [16][17][18] Industry Implications & Future Vision - The health sector generates terabytes of data daily, requiring collaborative AI to process and unify information [10] - This unified language aims to optimize the understanding of the complex human system, not replace humans [20] - The approach is analogous to past technological revolutions enabled by unifying interfaces like BASIC, HTML/HTTP, and CUDA [17][18]