Inability to visualize how people will fit into the future is barrier to acceptance because it is an unknown.
Its literally child's play to level learn about nested structures and assemble them in different ways. Quanti makes quantums makes standard model stuff makes chemistry which makes batteries that power my tablet. Shine a light on them and they project like shadows as bell shapes that we can learn about when we get older. But the math is even harder than sitting still and waiting for my turn.
Everyone can grow up to be a Director and then chose a hobby and a career like a ballerina astronaut or a basketball playing scientist. Maybe also doing theater for fun. Directors get to tell AI what we want and why. Explaining why is just something grownups do when they have time because that is hard too.
Knows the shapes, parts, names and flaws of density distributions
Knows there is difficult math behind these distributions
Look at the shape of the Ultraviolet collapse.
It's not normal. Why? That's because this spectrum is not the whole story.
The linear Schrodinger equations using the Feynman method after being extended to handle the nonlinearity of the actual universe do not need to be solved to see this shape.
But our Large Language Models can't see it. if the equations are solvable then it will understand.
the shape could be described, and then it would have to trust the description.
AI can see it with enhanced instruments
But humans would be less expensive especially from a long-term maintenance perspective
And terminator movie scenarios
Knows how to hold a meeting that is productive, read the room and get participation
Knows how to switch leadership by topic based on expertise
And then reassume leading the meeting
we used to teach swimming by throwing people into the water
it worked but there is a better way
We still expect management skills to be learned by osmosis from people who were never trained
Knows how to give direction, receive directions and to recognize poorly given directions
Delegates to organizational subordinates, superiors and peers
to AI systems and from AI systems
submit a bug report and follow up
minimally sufficient computer implementations figuratively drain the life out of the user
Programmers are not experts on the users themselves
Human factors engineering, Change Management, testing as a science are real
But must be used to make a difference in quality and reliability
Can recognize leaps in logic making things simple
can discuss if the leap makes a difference in the decision
Lessons on Logic
Can recognize when Markov chains complexity requires transition from conversational, to simple application and to teams of investigators
recognizes some missing links and some missing precepts that change the result
Some investigations must be delegated and there needs to be confidence in the results
Knows how to interview a candidate for a job and to interview well
Using skills based open question methods about experiences that demonstrated the skill
Consistency in longer narratives is the only approximation for truth in the real world
It's a corollary to Goedel's Axiom (formerly a theorem.)
Knows words change meaning in multiple ways
Knows unlearning is harder than learning
Knows what to do when their identity is threatened
Recognize the signs and ask for help
TBD
Add a gap year for service with pay and lessons in how to be an adult in a space faring civilization.