Epstein Secrets

calm and, before each turn, looks to a screen at the side of the board, reads the instruction, and makes his move. This is the famous match between Garry Kasparov and IBM’s Deep Blue. Kasparov, a child prodigy, became world chess champion at the age of fifteen and, to this day, holds the record for the highest

o a screen at the side of the board, reads the instruction, and makes his move. This is the famous match between Garry Kasparov and IBM’s Deep Blue. Kasparov, a child prodigy, became world chess champion at the age of fifteen and, to this day, holds the record for the highest chess ranking ever achieved. S

r the world’ science fiction genre — is that computers are improving exponentially fast in line with Moores Law, and the parity point is coming soon. Gordon Moore founded Intel with Andy Grove, and ran the engineering department there for more than 20 years. According to Moore's Law, the power of a computer dou

ne article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual. That way of programming is changing dramatically. After a long hiatus, the power of machine learning has taken off. Much of th

, we programmed computers using algorithms we understood at least in principle. So when machines did amazing things like beating world chess champion Garry Kasparov, we could say that the victorious programs were designed with algorithms based on our own understanding—using, in this instance, the experience and a

ystopian scenarios prevail; we generally end up muddling along somewhere in between. But history also suggests that we don’t have to wait on history. Gordon Moore in 1965 was able to use five years of the doubling of the specifications of integrated circuits to project what turned out to be fifty years of expon

ne article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual. That way of programming is changing dramatically. After a long hiatus, the power of machine learning has taken off. Much of th

, we programmed computers using algorithms we understood at least in principle. So when machines did amazing things like beating world chess champion Garry Kasparov, we could say that the victorious programs were designed with algorithms based on our own understanding—using, in this instance, the experience and a

ystopian scenarios prevail; we generally end up muddling along somewhere in between. But history also suggests that we don’t have to wait on history. Gordon Moore in 1965 was able to use five years of the doubling of the specifications of integrated circuits to project what turned out to be fifty years of expon