Emerging Frontiers in Artificial Intelligence: Autonomous Agents, Robust Reasoning, and Ethical Considerations from Augu
dev.to·15h·
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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
arxiv.org·9h
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The best explanation of LLMs I've ever seen is in this new book.
threadreaderapp.com·3h
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I Built an AI-Powered Screenshot Search Engine
igorstechnoclub.com·1d
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When Silicon Valley's Promise Meets Reality
rawveg.substack.com·2h·
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Evaluating Large Language Models as Expert Annotators
arxiv.org·9h
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Forward Deployed AI Research
publish.obsidian.md·1d·
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Title: Unlocking the Potential of AI: Real-World Applications and Use Cases
dev.to·12h·
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AI Frontiers: Advances in Efficient, Robust, and Universal Machine Learning – Synthesizing Key Themes from August 2025 a
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\(X\)-evolve: Solution space evolution powered by large language models
arxiv.org·9h
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Remote Sensing Image Intelligent Interpretation with the Language-Centered Perspective: Principles, Methods and Challenges
arxiv.org·9h
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AI at the Helm: How 2025’s Smartest Models Are Redesigning the Web and Beyond
dev.to·17h·
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Probing the limitations of multimodal language models for chemistry and materials research
nature.com·20h
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Beyond the cloud: SLMs, local AI, agentic constellations, biology and a high value direction for AI progress
pieces.app·4h·
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How to Detect AI-Generated Content
ahrefs.com·1d
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Researchers find LLMs are bad at logical inference, good at “fluent nonsense”
arstechnica.com·19h·
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Agentic AI Hands-On in Python: A Video Tutorial
kdnuggets.com·1d
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Learning to Select MCP Algorithms: From Traditional ML to Dual-Channel GAT-MLP
arxiv.org·9h
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AI Agents for Legal: Implementing Complex Document Search and Reasoning Agent
pub.towardsai.net·56m
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Who Owns Your Brain?: How "AI" Might Break Work Completely - Brainfork
brainfork.is·20h
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