Slow Thinking Models
Sadie expresses skepticism about the current integration of voice models into operating systems, suggesting that significant changes in human habits take time. Meanwhile, the discussion shifts to the potential of slow thinking models, which aim to replicate human reasoning processes, enhancing logic and mathematical capabilities while requiring less training data. The conversation highlights the challenges that hyperscalers may face in extending these innovations beyond simple, easily decomposable tasks.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
849: 2025 AI and Data Science Predictions — with Sadie St. Lawrence
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Will large language models scale all the way to artificial general intelligence (AGI) as discussed in the episode Demis Hassabis - Scaling, Superhuman AIs, AlphaZero atop LLMs, Rogue Nations Threat and the clip Scaling Challenges?
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