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 researcher in reinforcement learning and deep reinforcement learning, best known for his work on AlphaGo and subsequent systems that combined neural networks with tree search to achieve superhuman performance in complex games. In this course context, Silver's work appears primarily as an exemplar of recent AI progress claims—his achievements are cited when discussing the proliferation of organizations asserting proximity to AGI and the genuine advances that fuel debates about machine intelligence's current capabilities and limitations. He functions here as a touchstone for understanding what constitutes credible "progress" in AI, helping ground discussions about which capabilities are genuinely transformative versus which represent incremental engineering advances.
Mentioned in 1 reading
Appears alongside
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