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Tag: interpret

  • Wired: Anthropic’s Claude Is Good at Poetry—and Bullshitting

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    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/plaintext-anthropic-claude-brain-research/ Source: Wired Title: Anthropic’s Claude Is Good at Poetry—and Bullshitting Feedly Summary: Researchers looked inside the chatbot’s “brain.” The results were surprisingly chilling. AI Summary and Description: Yes Summary: The text discusses the challenges researchers face in describing Anthropic’s large language model, Claude, while avoiding anthropomorphism. The release of new papers highlights…

  • 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,…

  • New York Times – Artificial Intelligence : Will A.I. Soon Outsmart Humans? Play This Puzzle to Find Out.

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    Kurt Seifried
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    Source URL: https://www.nytimes.com/interactive/2025/03/26/business/ai-smarter-human-intelligence-puzzle.html Source: New York Times – Artificial Intelligence Title: Will A.I. Soon Outsmart Humans? Play This Puzzle to Find Out. Feedly Summary: Some experts predict that A.I. will surpass human intelligence within the next few years. Play this puzzle to see how far the machines have to go. AI Summary and Description: Yes…

  • Simon Willison’s Weblog: Function calling with Gemma

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/26/function-calling-with-gemma/#atom-everything Source: Simon Willison’s Weblog Title: Function calling with Gemma Feedly Summary: Function calling with Gemma Google’s Gemma 3 model (the 27B variant is particularly capable, I’ve been trying it out via Ollama) supports function calling exclusively through prompt engineering. The official documentation describes two recommended prompts – both of them suggest that…

  • Simon Willison’s Weblog: Putting Gemini 2.5 Pro through its paces

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/25/gemini/ Source: Simon Willison’s Weblog Title: Putting Gemini 2.5 Pro through its paces Feedly Summary: There’s a new release from Google Gemini this morning: the first in the Gemini 2.5 series. Google call it “a thinking model, designed to tackle increasingly complex problems". It’s already sat at the top of the LM Arena…

  • Hacker News: Arc-AGI-2 and ARC Prize 2025

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    Kurt Seifried
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    Source URL: https://arcprize.org/blog/announcing-arc-agi-2-and-arc-prize-2025 Source: Hacker News Title: Arc-AGI-2 and ARC Prize 2025 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the ARC Prize 2025 and the introduction of ARC-AGI-2, a benchmark aimed at advancing the pursuit of Artificial General Intelligence (AGI). It emphasizes the significance of measuring AI performance against benchmarks…

  • Hacker News: OpenAI Says It’s "Over" If It Can’t Steal All Your Copyrighted Work

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    Kurt Seifried
    in

    Source URL: https://futurism.com/openai-over-copyrighted-work Source: Hacker News Title: OpenAI Says It’s "Over" If It Can’t Steal All Your Copyrighted Work Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses OpenAI’s plea for federal regulations on copyright and fair use to maintain competitiveness against China in the AI sector. OpenAI argues that limiting access…

  • Hacker News: Show HN: Formal Verification for Machine Learning Models Using Lean 4

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    Kurt Seifried
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    Source URL: https://github.com/fraware/leanverifier Source: Hacker News Title: Show HN: Formal Verification for Machine Learning Models Using Lean 4 Feedly Summary: Comments AI Summary and Description: Yes Summary: The project focuses on the formal verification of machine learning models using the Lean 4 framework, targeting aspects like robustness, fairness, and interpretability. This framework is particularly relevant…