Epstein Secrets

e global fab lab network. Alison Gopnik is a developmental psychologist at UC Berkeley; her books include The Philosophical Baby and, most recently, Zhe Gardener and the Carpenter: What the New Science of Child Development Tells Us About the Relationship Between Parents and Children. HOUSE_OVERSIGHT_016805 T

e and evaluate a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016823 powerful room-cleaning robot was a Roomba, which moved around vacuuming a

. “L. Schulz, “The origins of Inquiry: Inductive inference and exploration in early childhood,” Trends Cog. Sci., 16:7, 382-89 (2012). 4 A. Gopnik, Zhe Gardener and the Carpenter (New York: Farrar, Straus & Giroux, 2016), chaps. 4 and 5. 157 HOUSE_OVERSIGHT_016960 paradox of learning, the best artificial i

Machines were simply faster at doing brute-force calculations, had prodigious amounts of memory, and were not prone to errors. One 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.

e global fab lab network. Alison Gopnik is a developmental psychologist at UC Berkeley; her books include The Philosophical Baby and, most recently, Zhe Gardener and the Carpenter: What the New Science of Child Development Tells Us About the Relationship Between Parents and Children. HOUSE_OVERSIGHT_016222 T

e and evaluate a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016240 powerful room-cleaning robot was a Roomba, which moved around vacuuming a

. “L. Schulz, “The origins of Inquiry: Inductive inference and exploration in early childhood,” Trends Cog. Sci., 16:7, 382-89 (2012). 4 A. Gopnik, Zhe Gardener and the Carpenter (New York: Farrar, Straus & Giroux, 2016), chaps. 4 and 5. 157 HOUSE_OVERSIGHT_016377 paradox of learning, the best artificial i

Machines were simply faster at doing brute-force calculations, had prodigious amounts of memory, and were not prone to errors. One 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.