Topic: Jeffrey Hinton

4 chapters across the catalog

Connectionism
Episode 1560 47:32 - 52:28

1560: Connectionism

AI Extinction Warnings, Enfeeblement and Medical Automation

Industry leaders, including Sam Altman and Jeffrey Hinton, signed a statement warning that AI poses an extinction risk comparable to pandemics or nuclear war. Concerns include "enfeeblement," where humanity becomes overly dependent on machines for governance and basic needs. Despite these warnings, development continues, with potential applications in medical care aimed at automating pharmaceutical prescriptions and diagnostics.

Old Trout
Episode 1552 14:33 - 18:41

1552: Old Trout

Breaking Points Podcast and AI Safety Warnings

The hosts of the Breaking Points podcast, Krystal Ball and Saagar Enjeti, are criticized for their plans to build a large studio rather than maintaining a lean operation. A segment from their show featuring commentators Emily and Ryan is highlighted for claims that teenagers are being "sexually assaulted" by AI algorithms, a statement the hosts find hyperbolic and representative of poor AI analysis.

Old Trout
Episode 1552 22:49 - 29:33

1552: Old Trout

Jeffrey Hinton Resignation and AI Regulation Debates

Jeffrey Hinton, a pioneer in AI, resigned from Google at age 75 to speak freely about the risks of the technology, including disinformation and job displacement. His warnings coincide with a public letter signed by Elon Musk and Steve Wozniak calling for a six-month pause on AI development. Critics suggest these calls for regulation are strategic moves by tech leaders to catch up to competitors or secure government-funded "ethics" roles.

Master Algo
Episode 966 1:22:18 - 1:24:39

966: Master Algo

Artificial Intelligence, Backpropagation, Jeffrey Hinton

Jeffrey Hinton, a pioneer in artificial intelligence, suggests that the current model of "backpropagation" may need to be abandoned to achieve true machine learning. The hosts discuss how "dumb algorithms" are increasingly controlling human lives through credit scores and information filtering. They express skepticism about the current promises of AI technology.