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Tag: interpretability

  • Simon Willison’s Weblog: Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/22/subliminal-learning/ Source: Simon Willison’s Weblog Title: Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data Feedly Summary: Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data This new alignment paper from Anthropic wins my prize for best illustrative figure so far this year: The researchers found that…

  • Cloud Blog: How good is your AI? Gen AI evaluation at every stage, explained

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-evaluate-your-gen-ai-at-every-stage/ Source: Cloud Blog Title: How good is your AI? Gen AI evaluation at every stage, explained Feedly Summary: As AI moves from promising experiments to landing core business impact, the most critical question is no longer “What can it do?" but "How well does it do it?".  Ensuring the quality, reliability, and…

  • Transformer Circuits Thread: Circuits Updates

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    Kurt Seifried
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    Source URL: https://transformer-circuits.pub/2025/april-update/index.html Source: Transformer Circuits Thread Title: Circuits Updates Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses emerging research and methodologies in the field of machine learning interpretability, specifically focusing on large language models (LLMs). It examines the mechanisms by which these models respond to harmful requests (like making bomb instructions)…

  • CSA: The Dawn of the Fractional Chief AI Safety Officer

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/the-dawn-of-the-fractional-chief-ai-safety-officer Source: CSA Title: The Dawn of the Fractional Chief AI Safety Officer Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the increasing relevance of fractional leaders, specifically the role of the Chief AI Safety Officer (CAISO), in organizations adopting AI. It highlights how this role helps organizations manage AI-specific…

  • Cloud Blog: Evaluate your gen media models with multimodal evaluation on Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/evaluate-your-gen-media-models-on-vertex-ai/ Source: Cloud Blog Title: Evaluate your gen media models with multimodal evaluation on Vertex AI Feedly Summary: The world of generative AI is moving fast, with models like Lyria, Imagen, and Veo now capable of producing stunningly realistic and imaginative images and videos from simple text prompts. However, evaluating these models is…

  • Cloud Blog: What’s new with BigQuery AI and ML?

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-adds-new-ai-capabilities/ Source: Cloud Blog Title: What’s new with BigQuery AI and ML? Feedly Summary: At Next ’25, we introduced several new innovations within BigQuery, the autonomous data to AI platform. BigQuery ML provides a full range of AI and ML capabilities, enabling you to easily build generative AI and predictive ML applications with…

  • Hacker News: The Great Chatbot Debate – March 25th

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    Kurt Seifried
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    Source URL: https://computerhistory.org/events/great-chatbot-debate/ Source: Hacker News Title: The Great Chatbot Debate – March 25th Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an upcoming live debate regarding the nature of large language models (LLMs) and raises important questions about their understanding and capabilities. This discourse is relevant for professionals in AI…

  • Slashdot: Anthropic Maps AI Model ‘Thought’ Processes

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/03/28/0614200/anthropic-maps-ai-model-thought-processes?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Anthropic Maps AI Model ‘Thought’ Processes Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a recent advancement in understanding large language models (LLMs) through the development of a “cross-layer transcoder” (CLT). By employing techniques similar to functional MRI, researchers can visualize the internal processing of LLMs,…