Tag: reasoning abilities

  • Hacker News: Why Anthropic’s Claude still hasn’t beaten Pokémon

    Source URL: https://arstechnica.com/ai/2025/03/why-anthropics-claude-still-hasnt-beaten-pokemon/ Source: Hacker News Title: Why Anthropic’s Claude still hasn’t beaten Pokémon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in artificial intelligence, particularly focusing on the evolving capabilities of models like Anthropic’s Claude, which are on the trajectory towards achieving artificial general intelligence (AGI). The potential…

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

    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…

  • Slashdot: Google Unveils Gemini 2.5 Pro, Its Latest AI Reasoning Model With Significant Benchmark Gains

    Source URL: https://tech.slashdot.org/story/25/03/25/195227/google-unveils-gemini-25-pro-its-latest-ai-reasoning-model-with-significant-benchmark-gains?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Unveils Gemini 2.5 Pro, Its Latest AI Reasoning Model With Significant Benchmark Gains Feedly Summary: AI Summary and Description: Yes Summary: Google DeepMind has launched Gemini 2.5, an advanced AI model notable for its improved reasoning capabilities and coding abilities. This model’s performance exceeds many competitors, highlighting its…

  • Simon Willison’s Weblog: Quoting Greg Kamradt

    Source URL: https://simonwillison.net/2025/Mar/25/greg-kamradt/ Source: Simon Willison’s Weblog Title: Quoting Greg Kamradt Feedly Summary: Today we’re excited to launch ARC-AGI-2 to challenge the new frontier. ARC-AGI-2 is even harder for AI (in particular, AI reasoning systems), while maintaining the same relative ease for humans. Pure LLMs score 0% on ARC-AGI-2, and public AI reasoning systems achieve…

  • Hacker News: Hunyuan T1 Mamba Reasoning model beats R1 on speed and metrics

    Source URL: https://tencent.github.io/llm.hunyuan.T1/README_EN.html Source: Hacker News Title: Hunyuan T1 Mamba Reasoning model beats R1 on speed and metrics Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes Tencent’s innovative Hunyuan-T1 reasoning model, a significant advancement in large language models that utilizes reinforcement learning and a novel architecture to improve reasoning capabilities and…

  • Hacker News: Show HN: Factorio Learning Environment – Agents Build Factories

    Source URL: https://jackhopkins.github.io/factorio-learning-environment/ Source: Hacker News Title: Show HN: Factorio Learning Environment – Agents Build Factories Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces the Factorio Learning Environment (FLE), an innovative evaluation framework for Large Language Models (LLMs), focusing on their capabilities in long-term planning and resource optimization. It reveals gaps…

  • 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: PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models

    Source URL: https://arxiv.org/abs/2502.01584 Source: Hacker News Title: PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a new benchmark for evaluating the reasoning capabilities of large language models (LLMs), highlighting the difference between evaluating general knowledge compared to specialized knowledge.…

  • Hacker News: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf]

    Source URL: https://arxiv.org/abs/2502.03860 Source: Hacker News Title: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf] Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces BOLT, a method designed to enhance the reasoning capabilities of large language models (LLMs) by generating long chains of thought (LongCoT) without relying on knowledge distillation. The…