Twitter's AI Dynamics
The conversation dives into the evolving landscape of AI discussions on Twitter, highlighting the recurring themes and misconceptions that arise, particularly around language models' limitations. Riley emphasizes that many popular examples, like spelling errors in models, reflect longstanding issues rather than new revelations. The introduction of reinforcement learning from human feedback (RLHF) marks a significant shift, yet many foundational challenges remain unchanged.In this clip
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