Security Threats of Machine Learning Models Trained on Internet Data

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Exploring the vulnerabilities of machine learning models trained on internet data and the crucial need for security measures to mitigate risks, with a focus on the efforts of Hidden Layer to address these concerns.

Sean Carroll is a theoretical physicist, author, and host of Mindscape podcast. Please support this podcast by checking out our sponsors:
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Transcript: https://lexfridman.com/sean-carroll-3-transcript

EPISODE LINKS:
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Sean’s Papers: https://scholar.google.com/citations?user=Lfifrv8AAAAJ
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(11:03) – General relativity
(23:22) – Black holes
(28:11) – Hawking radiation
(32:19) – Aliens
(41:15) – Holographic principle
(1:05:38) – Dark energy
(1:11:38) – Dark matter
(1:20:34) – Quantum mechanics
(1:41:56) – Simulation
(1:44:18) – AGI
(1:58:42) – Complexity
(2:11:25) – Consciousness
(2:20:32) – Naturalism
(2:24:49) – Limits of science
(2:29:34) – Mindscape podcast
(2:39:29) – Einstein