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1.
Opinion | We Need a Science of the AI Mind (feeds.content.dowjones.io)
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A Mathematical Framework for Transformer Circuits (2021) (news.ycombinator.com)
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OpenAI Says Humans Need to Be Able to Monitor How AI ‘Thinks.’ Astra Makes That Much Harder (gizmodo.com)
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The fragile foundations of CoT monitoring (news.ycombinator.com)
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Mechanistic interpretability researchers applying causality theory to LLMs (news.ycombinator.com)
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The Download: a new Christian phone network, and debugging LLMs (technologyreview.com)
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This startup’s new mechanistic interpretability tool lets you debug LLMs (technologyreview.com)
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The hidden costs of ‘helpful’ AI (feeds.nature.com)
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Intuitions for Tranformer Circuits (news.ycombinator.com)
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Can you reverse engineer our neural network? (news.ycombinator.com)
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Guide Labs debuts a new kind of interpretable LLM (techcrunch.com)
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OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks (venturebeat.com)
13.
The Interpretable AI playbook: What Anthropic’s research means for your enterprise LLM strategy (venturebeat.com)
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