Tag: reasoning

  • Hacker News: The Einstein AI Model

    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

    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:…

  • Hacker News: Microsoft’s Relationship with OpenAI Is Not Looking Good

    Source URL: https://gizmodo.com/microsofts-relationship-with-openai-is-not-looking-good-2000573293 Source: Hacker News Title: Microsoft’s Relationship with OpenAI Is Not Looking Good Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Microsoft’s evolution in its partnership with OpenAI, revealing a shift towards developing in-house AI models and consequently reducing reliance on OpenAI’s ChatGPT. The reported strategic maneuvers underline the…

  • Simon Willison’s Weblog: What’s new in the world of LLMs, for NICAR 2025

    Source URL: https://simonwillison.net/2025/Mar/8/nicar-llms/ Source: Simon Willison’s Weblog Title: What’s new in the world of LLMs, for NICAR 2025 Feedly Summary: I presented two sessions at the NICAR 2025 data journalism conference this year. The first was this one based on my review of LLMs in 2024, extended by several months to cover everything that’s happened…

  • Simon Willison’s Weblog: Politico: 5 Questions for Jack Clark

    Source URL: https://simonwillison.net/2025/Mar/8/questions-for-jack-clark/ Source: Simon Willison’s Weblog Title: Politico: 5 Questions for Jack Clark Feedly Summary: Politico: 5 Questions for Jack Clark I tend to ignore statements with this much future-facing hype, especially when they come from AI labs who are both raising money and trying to influence US technical policy. Anthropic’s Jack Clark has…

  • The Register: Surprise! People don’t want AI deciding who gets a kidney transplant and who dies or endures years of misery

    Source URL: https://www.theregister.com/2025/03/08/ai_kidney_transplant_moral_decisions/ Source: The Register Title: Surprise! People don’t want AI deciding who gets a kidney transplant and who dies or endures years of misery Feedly Summary: Researchers find AI isn’t ready to help with moral decision making Is AI an appropriate source of moral guidance about which patients should be given kidney transplants?……

  • Slashdot: Microsoft Reportedly Develops LLM Series That Can Rival OpenAI, Anthropic Models

    Source URL: https://slashdot.org/story/25/03/08/0018225/microsoft-reportedly-develops-llm-series-that-can-rival-openai-anthropic-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Reportedly Develops LLM Series That Can Rival OpenAI, Anthropic Models Feedly Summary: AI Summary and Description: Yes Summary: Microsoft is working on a new series of large language models (LLMs) called MAI, which aims to compete with existing models from OpenAI and Anthropic. This development may leverage Microsoft’s…

  • Hacker News: Study: Large language models still lack general reasoning skills

    Source URL: https://santafe.edu/news-center/news/study-large-language-models-still-lack-general-reasoning-skills Source: Hacker News Title: Study: Large language models still lack general reasoning skills Feedly Summary: Comments AI Summary and Description: Yes Summary: This text discusses research findings on the reasoning capabilities of large language models (LLMs) like GPT-4. It highlights the limitations of these models in understanding and solving complex analogy puzzles…

  • Hacker News: Ladder: Self-Improving LLMs Through Recursive Problem Decomposition

    Source URL: https://arxiv.org/abs/2503.00735 Source: Hacker News Title: Ladder: Self-Improving LLMs Through Recursive Problem Decomposition Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces LADDER, a novel framework for enhancing the problem-solving capabilities of Large Language Models (LLMs) through a self-guided learning approach. By recursively generating simpler problem variants, LADDER enables models to…

  • Hacker News: Some Thoughts on Autoregressive Models

    Source URL: https://wonderfall.dev/autoregressive/ Source: Hacker News Title: Some Thoughts on Autoregressive Models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text offers a comprehensive critique of autoregressive (AR) models, particularly large language models (LLMs), highlighting their strengths and limitations regarding human-like cognition and reasoning. It emphasizes the need for alternative architectures that integrate…