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Tag: logical reasoning

  • Simon Willison’s Weblog: TIL: Running a gpt-oss eval suite against LM Studio on a Mac

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/17/gpt-oss-eval-suite/#atom-everything Source: Simon Willison’s Weblog Title: TIL: Running a gpt-oss eval suite against LM Studio on a Mac Feedly Summary: TIL: Running a gpt-oss eval suite against LM Studio on a Mac The other day I learned that OpenAI published a set of evals as part of their gpt-oss model release, described in…

  • Slashdot: LLMs’ ‘Simulated Reasoning’ Abilities Are a ‘Brittle Mirage,’ Researchers Find

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/08/11/2253229/llms-simulated-reasoning-abilities-are-a-brittle-mirage-researchers-find?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: LLMs’ ‘Simulated Reasoning’ Abilities Are a ‘Brittle Mirage,’ Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: Recent investigations into chain-of-thought reasoning models in AI reveal limitations in their logical reasoning capabilities, suggesting they operate more as pattern-matchers than true reasoners. The findings raise crucial concerns for industries…

  • Simon Willison’s Weblog: OpenAI o3 and o4-mini System Card

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/21/openai-o3-and-o4-mini-system-card/ Source: Simon Willison’s Weblog Title: OpenAI o3 and o4-mini System Card Feedly Summary: OpenAI o3 and o4-mini System Card I’m surprised to see a combined System Card for o3 and o4-mini in the same document – I’d expect to see these covered separately. The opening paragraph calls out the most interesting new…

  • Simon Willison’s Weblog: Quoting Andriy Burkov

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/6/andriy-burkov/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andriy Burkov Feedly Summary: […] The disappointing releases of both GPT-4.5 and Llama 4 have shown that if you don’t train a model to reason with reinforcement learning, increasing its size no longer provides benefits. Reinforcement learning is limited only to domains where a reward can…

  • Hacker News: Evaluating modular RAG with reasoning models

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    Kurt Seifried
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    Source URL: https://www.kapa.ai/blog/evaluating-modular-rag-with-reasoning-models Source: Hacker News Title: Evaluating modular RAG with reasoning models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the challenges and potential of Modular Retrieval-Augmented Generation (RAG) systems using reasoning models like o3-mini. It emphasizes the distinction between reasoning capabilities and practical experience in tool usage, highlighting insights…

  • Hacker News: Chatbot Software Begins to Face Fundamental Limitations

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    Kurt Seifried
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    Source URL: https://www.quantamagazine.org/chatbot-software-begins-to-face-fundamental-limitations-20250131/ Source: Hacker News Title: Chatbot Software Begins to Face Fundamental Limitations Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text details recent findings on the limitations of large language models (LLMs) in performing compositional reasoning tasks, highlighting inherent restrictions in their architecture that prevent them from effectively solving complex multi-step…

  • Hacker News: Notes on the New Deepseek v3

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    system automation
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    Source URL: https://composio.dev/blog/notes-on-new-deepseek-v3/ Source: Hacker News Title: Notes on the New Deepseek v3 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of Deepseek’s v3 model, a 607B mixture-of-experts model that showcases exceptional performance, surpassing both open-source and proprietary competitors at a significantly lower training cost. It highlights the engineering…

  • Hacker News: KAG – Knowledge Graph RAG Framework

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    system automation
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    Source URL: https://github.com/OpenSPG/KAG Source: Hacker News Title: KAG – Knowledge Graph RAG Framework Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces KAG (Knowledge Augmented Generation), a framework leveraging large language models (LLMs) to enhance logical reasoning and Q&A capabilities in specialized domains. It overcomes traditional challenges in vector similarity and graph…

  • Hacker News: Why are we using LLMs as calculators?

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    system automation
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    Source URL: https://vickiboykis.com/2024/11/09/why-are-we-using-llms-as-calculators/ Source: Hacker News Title: Why are we using LLMs as calculators? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and motivations behind using large language models (LLMs) for mathematical reasoning and calculations. It highlights the historical context of computing and the evolution of tasks from simple…