When guiding how Ai delivers exact expertise in innovation efforts, there are ways to not only bring out the best in unexpected path investigations but also ways to use the unexpected to see around corners not previously imagined. But how ?
with such systems as "must use magic" or "created by a six-year-old" to force divergent thinking beyond established frames of reference and Ai analysis and in that generating protectable concepts without reliance on licensed IP. More even in the idea of " protective concepts " as guidelines for types of thinking and directions that can be and will be embedded in Third Self or agentic functional systems.
This is even more interesting within the use of Ai in " Fanciful constraints " to or even patent searches, enabling de-novo IP and where interdisciplinary teams can surfacing core themes like empathy and honesty, untainted by existing methods or Agentic systems where R&D units may begin to build sovereignty assets or classes of expertise that emerges from the analysis of existing person based experience data sets. When this mixing and remixing emerges as new directions for not only R&D investigations but for alternative use cases of existing R&D then true innovations have a way of unfolding in an Agentic investigation and experimentation environment.
Implement this for government and even military R&D we see constrained sessions to derive independent tech breakthroughs may be extendable to classing innovation models and divergent thinking exercises and where again Tight constraints could yield clean, defensible IP rapidly but where extensive use case evaluation needs to take place and not just in the chance situations where many academic and research based Ai systems that can analyze and even synthesize new output in tone and styles similar to the input data set but which still cannot fully ( and based on limited inputs ) create full novelty ( and even more scientifically usable ) directions. It is not as if Agentic Innovation is a fully and likely path to Means IP Independence and especially when these systems could be at some point self referential - the worry of any " thinking new " system that can only explore a certain data set no matter how big or small.
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