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0454f8b7-ec7a-48cc-bc17-3fd54a389d50
Hurricanes: Interesting Facts and F.A.Q.  The word hurricane comes from the Taino Native American word, hurucane, meaning evil spirit of the wind.  The first time anyone flew into a hurricane happened in 1943 in the middle of World War II.  A tropical storm is classified as a hurricane once winds goes up to ...
hurricane_faqs.md
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<scratchpad> - Main topic: Hurricanes - facts, FAQs, and additional information - Key points: - Origin of the word "hurricane" - Hurricanes' classification and naming conventions - Descriptive details about hurricane structure and features, like the eye and eyewall - Notable historical hurricane details like H...
The document provides a detailed overview of hurricanes, beginning with their etymology and criteria for classification, noting that winds must reach 74 mph for a storm to be classified as a hurricane. It explains the naming convention that makes them unique among weather phenomena. The text delves into the anatomy of ...
gpt-4o
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no_model_for_fast_chunking
27e3af80-83f6-41c6-93c2-a9306a8b5850
# The Bitter Lesson ## Rich Sutton ### March 13, 2019 The biggest lesson that can be read from 70 years of AI research is that general methods that leverage computation are ultimately the most effective, and by a large margin. The ultimate reason for this is Moore's law, or rather its generalization of continued exp...
the_bitter_lesson.md
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<scratchpad> - Main topic: The "bitter lesson" of AI research, emphasizing the effectiveness of computation over human-knowledge-based methods. - Key points: - General methods leveraging computation are more effective due to Moore's law. - Human knowledge based approaches complicate methods and hinder progress com...
The document "The Bitter Lesson" by Rich Sutton discusses the key takeaway from 70 years of AI research: the superiority of general methods leveraging computation over approaches relying on human knowledge. This is largely due to Moore's law, which ensures continuously increasing computational power. Historical example...
gpt-4o
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no_model_for_fast_chunking
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