Solving puzzles in natural language has always been a tough nut for AI. Even with the rise of powerful large language models (LLMs), complex puzzles that require rigorous reasoning and step-by-step logic remain a major hurdle. Enter Logic-of-Thought (Logot): a new framework that
LLMS
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Claude 4 Opus Solves Problem After 4 Hints, o3 Shows Improvement
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fyi for anyone interested later, e.g. the new Claude 4 Opus gets there after 4 hints https://
claude.ai/share/33072dd0
-a760-4b0f-8b73-6c0bb4a883ad
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Other LLMs do similar except – o3 didn't get it yesterday but when I tried this morning it did and now I can't tell if that's just due to the new conversation memory -
xAI Prepares Grok 3.5 for Release
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xAI keeps preparing Grok 3.5 for the upcoming release. A new model reference "grok-3-5-api-2k-p2" has been spotted in the latest web build, along with a mention of "grok 3.5 flexible input". Let's see if the API will be released as well
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Lost in Latent Space: Finding AI Models
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He got lost in latent space. Let me know if you find him!
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AI Scaling Laws and the Critical Value of Data Discussion
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This is a wonderful thread on AI scaling laws and the value of data
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LlamaBot: AI Web Development Assistant with Live Preview
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LlamaBot: AI Web Dev Assistant Meet the AI coding agent that generates HTML, CSS, and JavaScript through natural language chat, featuring live preview capabilities. Built with LangChain's LangGraph and LangSmith for intelligent web development. Check it out!
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CPGD: Stabilizing Rule-Based Reinforcement Learning for Language Models
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CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models CPGD introduces a novel reinforcement learning algorithm designed to stabilize policy updates for language models trained with rule-based rewards, addressing instability and training collapse issues found
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Panda: Pretrained Model for Chaotic Dynamics Forecasting
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Panda: A pretrained forecast model for universal representation of chaotic dynamics Panda is a pretrained attention-based model trained solely on synthetic chaotic systems, capable of zero-shot forecasting across diverse, unseen real-world dynamical systems, including PDEs it
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MMaDA: Multimodal Diffusion Language Models for Reasoning
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MMaDA: Multimodal Large Diffusion Language Models MMaDA introduces a new class of multimodal diffusion models that unify reasoning and generation across text and vision, achieving state-of-the-art performance in both understanding and generation tasks. Problem: Existing
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II-Researcher: Advanced Research Assistant with LangChain Integration
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II-Researcher A research assistant that combines search providers and web scraping with LangChain's text processing functionality to tackle complex questions. Features flexible LLM support and comprehensive data gathering capabilities. Explore on GitHub!