Possible Minds: Twenty-Five Ways of Looking at AI
Whatever actions the robot decides on need to mesh well with ours. This is the coordination problem.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
society with channels of feedback that maximize human flourishing will have mechanisms in place,
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
AI possible suggest that the current mania is a phase that will pass, to be followed by something even more significant: the merging of artificial and natural intelligence.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
We are not stuff that abides, but patterns that perpetuate themselves.*
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
Bayesian model lets you calculate just how likely it is that a particular hypothesis is true, given the data.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
let it pull out the salient features. Instead, Lake et al. gave the program a general model of how you draw a character: A stroke goes either right or left; after you finish one, you start another; and so on. When the program saw a particular character, it could infer the sequence of strokes that were most likely to have led to it—just as I inferre
... See moreJohn Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
The genetic system in every living cell is a stored-program computer. Brains aren’t.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
These machines do not (yet) have the goals or strategies or capacities for self-criticism and innovation to permit them to transcend their databases by reflectively thinking about their own thinking and their own goals.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
This problem requires a change in the definition of AI itself—from a field concerned with pure intelligence, independent of the objective, to a field concerned with systems that are provably beneficial for humans.