We start a new series about evaluations, cannot miss this one. Our opinion section will debate while MCP is getting so much adoption in the AI space. The research edition will dive into the Anthropic's new interpretability research. The engineering section will dive into another cool framework. This week AI headlines were dominated by the launch of GPT-4o image generation. However, I wanted to dedicate the editorial to two research papers published by Anthropic that could mark a new milestone in AI interpretability. In two papers published last week, Anthropic seems to have made a substantial leap in the field of interpretability in large language models, specifically Claude 3.5 Haiku. By applying neuroscience-inspired methods, researchers mapped computational circuits within the model'unveiling how Claude processes inputs, reasons through information, and generates text. These insights challenge traditional beliefs about LLMs as mere pattern-matchers and mark a major step toward...
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