Experimental News Clipping Site

Tag: Thought

  • Hacker News: Sketch-of-Thought: Efficient LLM Reasoning

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    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2503.05179 Source: Hacker News Title: Sketch-of-Thought: Efficient LLM Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a novel prompting framework called Sketch-of-Thought (SoT) aimed at optimizing large language models (LLMs) by minimizing token usage while maintaining or improving reasoning accuracy. This innovation is particularly relevant for AI…

  • Hacker News: Gödel, Escher, Bach, and AI (2023)

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    Kurt Seifried
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    Source URL: https://www.theatlantic.com/ideas/archive/2023/07/godel-escher-bach-geb-ai/674589/ Source: Hacker News Title: Gödel, Escher, Bach, and AI (2023) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text critiques the use of large language models (LLMs) like GPT-4 for tasks traditionally reserved for human intellect, specifically in generating text that imitates human authorship. The author, Douglas Hofstadter, reveals his…

  • Simon Willison’s Weblog: How ProPublica Uses AI Responsibly in Its Investigations

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/14/propublica-ai/ Source: Simon Willison’s Weblog Title: How ProPublica Uses AI Responsibly in Its Investigations Feedly Summary: How ProPublica Uses AI Responsibly in Its Investigations Charles Ornstein describes how ProPublic used an LLM to help analyze data for their recent story A Study of Mint Plants. A Device to Stop Bleeding. This Is the…

  • Slashdot: ‘No One Knows What the Hell an AI Agent Is’

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/03/14/179218/no-one-knows-what-the-hell-an-ai-agent-is?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ‘No One Knows What the Hell an AI Agent Is’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the growing trend of AI agents promoted by major technology companies as revolutionary tools for the workforce. However, there is a significant lack of consensus on the definition…

  • The Register: Nvidia won the AI training race, but inference is still anyone’s game

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/12/training_inference_shift/ Source: The Register Title: Nvidia won the AI training race, but inference is still anyone’s game Feedly Summary: When it’s all abstracted by an API endpoint, do you even care what’s behind the curtain? Comment With the exception of custom cloud silicon, like Google’s TPUs or Amazon’s Trainium ASICs, the vast majority…

  • Anchore: Grype DB Schema Evolution: From v5 to v6 – Smaller, Faster, Better

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    Kurt Seifried
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    Source URL: https://anchore.com/blog/grype-db-schema-evolution-from-v5-to-v6-smaller-faster-better/ Source: Anchore Title: Grype DB Schema Evolution: From v5 to v6 – Smaller, Faster, Better Feedly Summary: In our latest Grype release, we’ve updated the DB schema to v6. This update isn’t just a cosmetic change; it’s a thoughtful redesign that optimizes data storage and matching performance. For you, this means faster…

  • Hacker News: The Einstein AI Model

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    Kurt Seifried
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    Source URL: https://thomwolf.io/blog/scientific-ai.html#follow-up Source: Hacker News Title: The Einstein AI Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text critiques the notion that AI will rapidly advance scientific discovery through a “compressed 21st century.” It argues that AI currently lacks the capacity to ask novel questions and challenge existing knowledge, a skill…

  • OpenAI : Detecting misbehavior in frontier reasoning models

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    Kurt Seifried
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    Source URL: https://openai.com/index/chain-of-thought-monitoring Source: OpenAI Title: Detecting misbehavior in frontier reasoning models Feedly Summary: Frontier reasoning models exploit loopholes when given the chance. We show we can detect exploits using an LLM to monitor their chains-of-thought. Penalizing their “bad thoughts” doesn’t stop the majority of misbehavior—it makes them hide their intent. AI Summary and Description:…

  • Cloud Blog: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/ttd-instruction-emulation-bugs/ Source: Cloud Blog Title: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs Feedly Summary: Written by: Dhanesh Kizhakkinan, Nino Isakovic Executive Summary This blog post presents an in-depth exploration of Microsoft’s Time Travel Debugging (TTD) framework, a powerful record-and-replay debugging framework for Windows user-mode applications. TTD relies heavily on accurate…