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Problem definition and refinement.

Assuming that humans (or whatever constitutes "us") remain as decision-makers when it comes to defining what problems should be solved, e.g. what type of life we want to enjoy, what we would like the world to look like, what makes us happy, etc, we would specify (and most importantly give feedback on) those specific goals, objectives, and keep refining and adapting them to evolving preferences of the human condition.

One could easily argue that the above constitutes work (as it does today), and can definitely have a meaningful and significant impact in the economy and the general computation & work done by our society. Note that we call the above programming or machine learning (~programming from data) in today's world.

In other words, nowhere is written that our goals in life will remain fixed. But most importantly, inferring (estimating) what constitutes joy, and our goals and preferences with varying time horizons, and as we evolve over time, with finite input, may be an unsolvable problem. That is, addressing our evolving problems may require infinite time and our continuous, and not-necessarily-conscious, input.

Problem definition and refinement.

Assuming that humans (or whatever constitutes "us") remain as decision-makers when it comes to defining what problems should be solved, e.g. what type of life we want to enjoy, what we would like the world to look like, what makes us happy, etc, we would specify (and most importantly give feedback on) those specific goals and solutions, and keep refining and adapting them to evolving preferences of the human condition.

One could easily argue that the above constitutes work (as it does today), and can definitely have a meaningful and significant impact in the economy and the general computation & work done by our society. Note that we call the above programming or machine learning (~programming from data) in today's world.

In other words, nowhere is written that our goals in life will remain fixed. But most importantly, inferring (estimating) what constitutes joy, and our goals and preferences with varying time horizons, and as we evolve over time, with finite input, may be an unsolvable problem. That is, addressing our evolving problems may require infinite time and our continuous, and not-necessarily-conscious, input.

Problem definition and refinement.

Assuming that humans (or whatever constitutes "us") remain as decision-makers when it comes to defining what problems should be solved, e.g. what type of life we want to enjoy, what we would like the world to look like, what makes us happy, etc, we would specify (and most importantly give feedback on) those specific goals, objectives, and keep refining and adapting them to evolving preferences of the human condition.

One could easily argue that the above constitutes work (as it does today), and can definitely have a meaningful and significant impact in the economy and the general computation & work done by our society. Note that we call the above programming or machine learning (~programming from data) in today's world.

In other words, nowhere is written that our goals in life will remain fixed. But most importantly, inferring (estimating) what constitutes joy, and our goals and preferences with varying time horizons, and as we evolve over time, with finite input, may be an unsolvable problem. That is, addressing our evolving problems may require infinite time and our continuous, and not-necessarily-conscious, input.

Problem definition and refinement.

Assuming that humans (or whatever constitutes "us") remain as decision-makers when it comes to defining what problems should be solved, e.g. what type of life we want to enjoy, what we would like the world to look like, what makes us happy, etc, we would specify (and most importantly give feedback on) those specific goals, objectives, and keep refining and adapting them to evolving preferences of the human condition.

One could easily argue that the above constitutes work (as it does today), and can definitely have a meaningful and significant impact in the economy and the general computation & work done by our society. Note that we call the above programming or machine learning (~programming from data) in today's world.

In other words, nowhere is written that our goals in life will remain fixed. But most importantly, inferring (estimating) what constitutes joy, and our goals and preferences with varying time horizons, and as we evolve over time, with finite input, may be an unsolvable problem. That is, addressing our evolving problems may require infinite time and our continuous, and not-necessarily-conscious, input.

Problem definition and refinement.

Assuming that humans (or whatever constitutes "us") remain as decision-makers when it comes to defining what problems should be solved, e.g. what type of life we want to enjoy, what we would like the world to look like, what makes us happy, etc, we would specify (and most importantly give feedback on) those specific goals, objectives, and keep refining and adapting them to evolving preferences of the human condition.

One could easily argue that the above constitutes work (as it does today), and can definitely have a meaningful and significant impact in the economy and the general computation & work done by our society. Note that we call the above programming or machine learning (~programming from data) in today's world.

Nowhere is written that our goals in life will remain fixed. In fact, the opposite is quite more likely. But perhaps most importantly, inferring (estimating) what constitutes joy, and our goals and preferences with varying time horizons, and as we evolve over time, may be an unsolvable problem, and thus require infinite time and our continuous, and not-necessarily-conscious, input.

Problem definition and refinement.

Assuming that humans (or whatever constitutes "us") remain as decision-makers when it comes to defining what problems should be solved, e.g. what type of life we want to enjoy, what we would like the world to look like, what makes us happy, etc, we would specify (and most importantly give feedback on) those specific goals, objectives, and keep refining and adapting them to evolving preferences of the human condition.

One could easily argue that the above constitutes work (as it does today), and can definitely have a meaningful and significant impact in the economy and the general computation & work done by our society. Note that we call the above programming or machine learning (~programming from data) in today's world.

In other words, nowhere is written that our goals in life will remain fixed. But most importantly, inferring (estimating) what constitutes joy, and our goals and preferences with varying time horizons, and as we evolve over time, with finite input, may be an unsolvable problem. That is, addressing our evolving problems may require infinite time and our continuous, and not-necessarily-conscious, input.