Recently, however, there has been a proliferation of organizations aiming to build AGI and asserting that their products are close to achieving it (Bubeck, et al., 2023; Cuthbertson, 2022). While a number of researchers have debated whether…Henry Shevlin, Karina Vold, Matthew Crosby, and Marta Halina, 2019. “The limits of machine intelligence: Despite progress in machine intelligence, artificial general intelligence is still a major challenge,” EMBO Reports, volume 20, number …
David Silver
scientist · 2 mentions across 1 reading
In this course
David Silver is a leading machine learning researcher at DeepMind known for developing AlphaGo and subsequent reinforcement learning systems that achieved superhuman performance in complex games like chess and Go. His work appears in the course readings as a touchstone for debates about whether narrow AI achievements—however impressive—represent genuine progress toward artificial general intelligence or remain fundamentally constrained by task-specific training. Silver's systems exemplify the gap between demonstrable computational success and the harder philosophical question of whether machines can achieve flexible, generalizable intelligence.
Mentioned in 1 reading
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People mentioned in the same passages — sorted by co-occurrence weight.
Blaise Agüera y Arcas 1Cuthbertson 1Emily M. Bender 1Hanna 1Jiang 1Khan 1Mary L. Gray 1Peter Norvig 1Sebastien Bubeck 1Shah 1Shevlin 1Siddharth Suri 1Timnit Gebru 1Williams 1Alexandra Minna Stern 1Doina Precup 1Elon Musk 1Harris 1Henry Shevlin 1Karina Vold 1Kate O'Connor 1Marta Halina 1Matthew Crosby 1Natalie Lira 1Nicole L. Novak 1Richard S. Sutton 1Robert Sparrow 1Sam Bankman-Fried 1Satinder Singh 1Savulescu 1