Experimental News Clipping Site

Tag: correctness

  • Hacker News: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue"

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    Kurt Seifried
    in

    Source URL: https://openpipe.ai/blog/using-grpo-to-beat-o1-o3-mini-and-r1-on-temporal-clue Source: Hacker News Title: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue" Feedly Summary: Comments AI Summary and Description: Yes Short Summary with Insight: The provided text explores the application of reinforcement learning to enhance the deductive reasoning capabilities of smaller, open-weight models in AI. Specifically, it focuses on…

  • Hacker News: Hallucinations in code are the least dangerous form of LLM mistakes

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/ Source: Hacker News Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the phenomenon of “hallucinations” in code generated by large language models (LLMs), highlighting that while such hallucinations can initially undermine developers’ confidence, they are relatively…

  • Simon Willison’s Weblog: Hallucinations in code are the least dangerous form of LLM mistakes

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/#atom-everything Source: Simon Willison’s Weblog Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination – usually the LLM inventing a method or even a full software library…

  • Hacker News: SWE-Bench tainted by answer leakage; real pass rates significantly lower

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2410.06992 Source: Hacker News Title: SWE-Bench tainted by answer leakage; real pass rates significantly lower Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper “SWE-Bench+: Enhanced Coding Benchmark for LLMs” addresses significant data quality issues in the evaluation of Large Language Models (LLMs) for coding tasks. It presents empirical analysis revealing…

  • Schneier on Security: Implementing Cryptography in AI Systems

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/02/implementing-cryptography-in-ai-systems.html Source: Schneier on Security Title: Implementing Cryptography in AI Systems Feedly Summary: Interesting research: “How to Securely Implement Cryptography in Deep Neural Networks.” Abstract: The wide adoption of deep neural networks (DNNs) raises the question of how can we equip them with a desired cryptographic functionality (e.g, to decrypt an encrypted input,…

  • Hacker News: The Impact of AI on the Technical Interview Process

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    Kurt Seifried
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    Source URL: https://coderev.app/blog/the-impact-of-ai-on-the-technical-interview-process/ Source: Hacker News Title: The Impact of AI on the Technical Interview Process Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evolving role of AI in the technical interview process, highlighting the limitations of traditional coding assessments and the need for teams to adapt their screening methods.…

  • Hacker News: R1 Computer Use

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    Kurt Seifried
    in

    Source URL: https://github.com/agentsea/r1-computer-use Source: Hacker News Title: R1 Computer Use Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a project named “R1-Computer-Use,” which leverages reinforcement learning techniques for improved computer interaction. This novel approach replaces traditional verification methods with a neural reward model, enhancing the reasoning capabilities of agents in diverse…

  • Hacker News: DeepSeek’s Hidden Bias: How We Cut It by 76% Without Performance Loss

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    Kurt Seifried
    in

    Source URL: https://www.hirundo.io/blog/deepseek-r1-debiased Source: Hacker News Title: DeepSeek’s Hidden Bias: How We Cut It by 76% Without Performance Loss Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the pressing issue of bias in large language models (LLMs), particularly in customer-facing industries where compliance and fairness are paramount. It highlights Hirundo’s innovative…