Truth in AI
David emphasizes the importance of reinforcement learning in developing AI models, highlighting the need for a reward system that encourages truthful answers. He expresses concern over the subjective judgments that can lead to poor-quality responses, suggesting that consumers will gravitate towards platforms that prioritize honesty. The discussion also touches on the dangers of biased information, where incorrect answers can mislead users far more than simply withholding information.In this clip
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All-In Podcast
E167: Google's Woke AI disaster, Nvidia smashes earnings (again), Groq's LPU breakthrough & more
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