Scaling AI Reasoning
Researchers are increasingly optimistic about advancements in artificial general intelligence, despite public skepticism. The potential for scaling reasoning models is significant, with expectations for breakthroughs in coding and utility by 2025 and 2026. As compute costs decrease, the feasibility of running multiple iterations on problems becomes more appealing, paving the way for innovative applications.In this clip
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Market Predictions, Rates & Inflation, DOGE, CES, AI Compute | BG2 w/ Bill Gurley & Brad Gerstner
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