Reading

Links

Interesting reads I want to keep track of.

Why All Models Learn the Same Thing with Phillip Isola (MIT)youtube.com
Watch @ 0:00 Genealogy
Algebra, Topology, Differential Calculus, and Optimization Theory for Computer Science and Machine Learningcis.upenn.edu
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The World Inside Neural Networksgoodfire.ai
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Steering Along Manifolds to Control Neural Networksgoodfire.ai
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Six (and a half) intuitions for KL divergencelesswrong.com
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A Comprehensive Mechanistic Interpretability Explainer & Glossarydynalist.io
Genealogy
Toy Models of Superpositionarxiv.org
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How GPT, Claude, and Gemini are actually trained and served - Reiner Popeyoutube.com
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Modular Manifoldsthinkingmachines.ai
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Six (and a half) intuitions for SVDlesswrong.com
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Richard Dawkins is NOT Listening to Jordan Peterson - Bret Weinsteinyoutube.com
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Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Modelsarxiv.org
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Situational Awareness: From AGI to Superintelligencesituational-awareness.ai
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Universal Paperclipsdecisionproblem.com
Genealogy
Phenomenology - Stanford Encyclopedia of Philosophyplato.stanford.edu
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How Cursor Trained Composer on Fireworks: Distributed Infrastructure for High-Performance RLyoutube.com
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Notes from the Undergroundgutenberg.org
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The Brothers Karamazovgutenberg.org
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