Epstein Secrets

dropping the ‘3.0 x’ part and just looking at the order of magnitude. The number 10°, one with eighty zeroes after it, is the number of atoms in the Earth, and 10’ the number of particles in the known Universe. 10° meters is the ‘plank number’ believed to be the smallest dimension you can have, and 10!”

matter and dark energy being some recent examples. If we stopped discovering new things, Occam's Razor would be a good way to simplify our thoughts. Occam’s Razor is a useful intellectual tool to prevent us over complicating explanations, but there will often be explanations that are correct, but for wh

ction of the cost and far more reliable. Scientists put great store in black box equivalence because of a principle called Occam’s Razor. William of Occam was an English Franciscan friar living in the fourteenth century. He proposed the idea of minimal explanation. It states that, ‘among competing hypot

, 20 years ago we learned that the electric guitar is the most popular instrument in the world, and also that there are more bacteria than humans on Earth. The former fact is no longer true (keyboard synthesizers have outpaced electric guitars). but the latter is. And, if you'd asked us 20 years ago w

is learned faster (9s67 instead of 21s47 for co:Q. Conversely the results for lamb show that when action sequence building-block is enabled, if the Occam's razor is too weak it can dramatically slow down the search. That is because in this circumstance the search is misled by longer candidates that fi

artificial chemistry? Another problem with this approach, of course, is that it might take a really long time. Evolution took billions of years on Earth, using a massive amount of computational power. To make the evolutionary approach to AGI effective, one would need some radical innovations to the

ne effective approach to evolu- tionary program learning. MOSES is one good realization of this approach. e. Multistart hill-climbing, with a strong Occam prior, is a good way to handle relatively straightforward program learning problems. f. Activation spreading and Hebbian learning comprise a reason

d artificial chemistry? Another problem with this approach, of course, is that it might take a really long time. Evolution took billions of years on Earth, using a massive amount of computational power. To make the evolutionary approach to AGI effective, one would need some radical innovations to the ev

ne effective approach to evolu- tionary program learning. MOSES is one good realization of this approach. e. Multistart hill-climbing, with a strong Occam prior, is a good way to handle relatively straightforward program learning problems. f. Activation spreading and Hebbian learning comprise a reasona