Three questions that keep me up at night
Q1) By the mere copying of behaviors, no. It is clear that there are at least the a priori intuitions of space, time, and causality necessary for humans to obtain any knowledge. It is within that a priori framework where concepts and then decisions are derived from.<p>Q2) This would require the knowledge of what is sufficient &amp; necessary for AGI.<p>Q3) Minsky, Neumann, and most sophisticatedly, Norbert Weiner answered this question. Read page 33 of Weiner&#x27;s Cybernetics. The real insight, where in what I will now explain in brevity is at the expense of the insight&#x27;s resolution, is that in the nature of microscopic phenomena there are an exorbitant quantity of fickle components (&quot;equal particles&quot;) whose positions, accelerations, velocities are all impossible to record because of that sheer quantity by the nature of this sphere of study. More so, there are then at least second-order coupling effects between all these fickle components due to their constant interaction. As a resolve, we have developed terms of statistical understanding. Weiner cites &quot;cloud, temperature, turbulence, etc.&quot; all being concepts which are specifically defined in a statistical context.<p>Where as in the macroscopic sphere there are far fewer particles much further apart from each other with near certain initial masses, positions, and velocities.<p>The result? In the microscopic systems, because their properties are precisely defined statistically the distribution which predicts the future nor past for a given system isn&#x27;t unique. That is, the future state (predicted by the distribution provided by some initial system) could have also been predicted by other distributions describing many other initial systems unless by &quot;some miracle&quot; there is a &quot;tightly defined statistical range&quot;.<p>So are microscopic physics condemned to this paradox? Not necessarily, there may be some way to construct scientific objects from systems phenomena which don&#x27;t require a statistical conception because they can be precisely defined from a microscopic systems point of view temporally &amp; spatially. However, this would require a revolution in theory and likely mathematics