To stimulate university startups, students should be learning to build, understand, and work with an open source cognitive assistant on their smartphones that helps them learn, plan their career opportunities, develop cognitive assistants for all occupations they plan to enter.
The above will become much easier, once these eight unsolved grand challenges of artificial intelligence and cognitive science have been solved:
People these capabilities developing from 0-5 years of age:
(1) minute experience (Fiore)
(2) episodic memory (Schank)
People these capabilities developing from 5-10 years of age
(3) commonsense reasoning (Lenat)
(4) social interactions (Forbus)
People these capabilities developing from 10-15
(5) fluent conversations (Klein)
(6) ingest textbooks (Etzioni)
People these capabilities developing from 15-20
(7) ingest regulations (Searle)
(8) collaboration augmentation (Engelbart)
People require about 10 millions minutes of experience to acquire these capabilities and become an adult in society.
Then adult people require about 2 million minutes of experience to go from novice to expert in an occupation or social role where experts already exist to learn from.
In slightly more detail:
(1) minute experience (Fiore) – requires representing both external inputs and internal inputs – no one really knows how one minute of experience works in a person.
(2) episodic memory (Schank) – requires building a dynamic memory that experience can be added to, and performance on certain tasks improves and does not degrade with additional experiences.
(3) commonsense reasoning (Lenat) – requires reasoning changes to be compiled for rapid memory lookup.
(4) social interactions (Forbus) – requires animal level and then beyond animal level awareness and modeling of others.
(5) fluent conversations (Klein) – very hard, how do people do it?
(6) ingest textbooks (Etzioni) – very hard, especially when diagrams are included, etc.
(7) ingest regulations (Searle) – very hard, to go beyond social rules and manners, to become good at understanding the laws and institutions that shape behavior.
(8) collaboration augmentation (Engelbart) – very hard, requires people first that people know how to collaborate, and then people with cognitive assistants to interact fluidly on tasks as well.