AI needs Thinker.DAO to help humanity with its most valuable activity: innovation

Innovation involves many groups producing the components of innovation, all evolving in many directions in timeframes ranging from hours to decades, succeeding and failing in a global "coopetition" to solve key problems. No system of human or machine intelligence attempting to understand and improve innovation can effectively operate without understanding these dynamics, which current innovation systems fail to capture.

This is not just about technological innovation, but also innovations in the use and reuse of media, code, and data assets. The rise of Generative AI illustrates the power of a system that can incentivize productive collaborations between all types of innovation assets, people, and AIs.  We think of all such collaborations as "innovation": evolutionary improvement and discovery of value from many assets and their combinations. 

A key challenge is understanding how innovation works is to understand the interactions between many elements of innovation ecosystems. Firstly, innovation arises from combinations of talent (people and AI), innovation assets (such as data, code, media, and technology), incentives (economic and non-economic capital, including attribution, rights, resources, and other incentives), and demand, and these combinations evolve over time. This evolution involves interactions that include: 1) transactions or deals between innovation participants, 2) economic and non-economic incentives and terms, 3) usage patterns of innovation elements, and 4) the permissions and restrictions over those elements. Only by understanding all of these can one create an analytic system for the productive evolution of innovation elements into functioning innovation solutions. 

Until all of these are on one unified data-driven system, neither human ingenuity nor Generative AI and machine learning can effectively contribute to the efficiency of innovation.

Thinker.DAO formalizes such an innovation ecosystem using blockchain and zero-knowledge proof technology. "Human Intelligence Tokens" create the mechanism to innovate and evolve innovation, as well as a global way to memorialize contributions of talent, assets (technology, media, code, or data), capital, or demand. The Thinker.DAO creates a mechanism to share, evolve and incentivize long-term R&D, and package them into demand-driven solutions in the form of technologies, products, content, insights, or companies. This is a truly post-skeuomorphic use of blockchain. Only blockchain smart contracts can fuse all the behaviors needed to build a global scale system for the incentivization of the reuse of assets. And, importantly, this will allow machine learning and Generative AI to reason over the myriad combinations that build innovation value and improve outcomes.

Thinker.DAO is based on a real-world protocol proven on nine hundred global innovation projects over ten years involving thousands of contributors, including for customers such as PepsiCo, Nestle, Honda, Hyundai, ENN, Funai, Meat and Livestock Australia, and many others. We applied machine learning to the dynamics of this protocol as a complex evolutionary system (see video below). We are now engaged in deploying this protocol on the collaborative improvement and discovery processes around media and data assets in conjunction with Generative AI. You can see some of our projects here.

The goal of Thinker.DAO is to formalize the real-world protocol and experiences into an automated fair governance system that can achieve planetary scale. In so doing, it creates a unified infrastructure for collaboration including by machine learning and AI agents that can improve outcomes for innovation activity.