Challenges of AI Models and Content Moderation on Social Networks

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The chapter delves into the various challenges and risks associated with relying on AI models for bug detection and content moderation on social networks, including the potential for malicious use in phishing scams and social engineering. It explores efforts to combat harmful content like terrorism promotion and coordinated inauthentic behavior, discussing the need for transparency and accountability in distinguishing between organic narratives and orchestrated manipulation. The conversation also examines Meta's strategies in addressing content moderation issues amidst pressures from governments, interest groups, and the delicate balance between free expression and preventing harm.

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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
(05:38) – Jiu-jitsu competition
(23:01) – AI and open source movement
(35:32) – Next AI model release
(47:48) – Future of AI at Meta
(1:08:25) – Bots
(1:23:53) – Censorship
(1:38:34) – Meta’s new social network
(1:45:20) – Elon Musk
(1:49:25) – Layoffs and firing
(1:56:55) – Hiring
(2:02:48) – Meta Quest 3
(2:09:45) – Apple Vision Pro
(2:16:00) – AI existential risk
(2:22:23) – Power
(2:25:55) – AGI timeline
(2:33:17) – Murph challenge
(2:38:33) – Embodied AGI
(2:41:39) – Faith