I visualize a time when we will be to robots what dogs are to humans, and I’m rooting for the machines.
Claude E. Shannon
Information is the resolution of uncertainty.
Claude Shannon
Information: the negative reciprocal value of probability.
Claude Shannon
JUGGLING THEOREM proposed by Claude E. Shannon
(F+D)H=(V+D)N
where F is the time a ball spends in the air, D is the time a ball spends in a hand, V is the time a hand is vacant, N is the number of balls juggled, and H is the number of
hands.
Also, none of those strike me as interesting. The first is pretty much contentless sans any justification for preferring the machines; the second and third are just definitions which LWers or anyone who knows the rudiments of information theory will understand; and I have no idea what interest a ‘juggling theorem’ has.
We don’t like it when people post a lot of quotes in one post, because it’s nice to be able to up/down vote them separately. For more info see the rules at the top of the thread.
I visualize a time when we will be to robots what dogs are to humans, and I’m rooting for the machines. Claude E. Shannon
Information is the resolution of uncertainty. Claude Shannon
Information: the negative reciprocal value of probability. Claude Shannon
JUGGLING THEOREM proposed by Claude E. Shannon
(F+D)H=(V+D)N
where F is the time a ball spends in the air, D is the time a ball spends in a hand, V is the time a hand is vacant, N is the number of balls juggled, and H is the number of hands.
Also, none of those strike me as interesting. The first is pretty much contentless sans any justification for preferring the machines; the second and third are just definitions which LWers or anyone who knows the rudiments of information theory will understand; and I have no idea what interest a ‘juggling theorem’ has.
We don’t like it when people post a lot of quotes in one post, because it’s nice to be able to up/down vote them separately. For more info see the rules at the top of the thread.