Possible Minds: Twenty-Five Ways of Looking at AI
We can address the problem of building an accurate credit-assignment function in many different settings.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
What the intent-prediction approach misses is that the moment the robot acts, that influences what actions the human starts taking.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
They produce profit by exploiting our reptilian brains rather than imitating our cerebral cortexes,
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
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
formulation, the information content of a string of symbols was given by the logarithm of the number of possible symbols from which a given string was chosen.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
inventing, for example, imaginary video games and painting screen shots from them.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
natural stupidity can wreak far more havoc than artificial intelligence;
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
This is the value-alignment problem.