Solving a problem with mindware
lesswrong.com·21h
📵Digital Minimalism
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‘Sensing’ plant floor disruption? How GenAI & OT can help
nordot.app·10h
🤖AI
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A generative AI teaching assistant for personalized learning in medical education
nature.com·12h
🗣️LLMs
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How Perplexity Built an AI Google
blog.bytebytego.com·20h
📝NLP
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The Illustrated NeurIPS 2025: A Visual Map of the AI Frontier
newsletter.languagemodels.co·21h
📝NLP
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Vibe Coding Won’t Replace Humans Anytime Soon, Data Shows
pymnts.com·16h
🤖AI
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Turning DXPs Into Intelligence Engines — Not Just Interfaces
cmswire.com·22h
⌨️Text Editors
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The Hardest Problem in AI: Human Context
dev.to·6h·
Discuss: DEV
🤖AI
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Information Gain-based Policy Optimization: A Simple and Effective Approach forMulti-Turn LLM Agents
paperium.net·10h·
Discuss: DEV
🎯Reinforcement Learning
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ASAN: A conceptual architecture for a self-creating, energy-efficient AI system
github.com·23h·
Discuss: Hacker News
🎯Reinforcement Learning
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Title: LLMs for Your Business: Is it Better to Retrain the Brain or Give it an Open Book? (RAG vs. Fine-Tuning)
dev.to·18h·
Discuss: DEV
🗣️LLMs
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STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization
arxiv.org·7h
🎯Reinforcement Learning
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From AI Chaos to Context Engineering: Lessons from Building Packmind OSS
dev.to·2h·
Discuss: DEV
⌨️Text Editors
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This blew my mind 🤯
threadreaderapp.com·1d
🤖AI
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From Developer to Prompt Engineer: The New Frontier of Coding in the AI Era
dev.to·2d·
Discuss: DEV
🗣️LLMs
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The AI Capability Gap
blog.dwac.dev·2d·
🤖AI
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Part 1: Spec-Driven Development - Building Predictable AI-Assisted Software
dev.to·7h·
Discuss: DEV
🧠Machine Learning
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7 AI Study Workflows Developers Use to Learn Faster (Prompt Recipes Included)
coursiv.io·4d·
Discuss: DEV
🤖AI
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Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
arxiv.org·7h
🗣️LLMs
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Iterative Foundation Model Fine-Tuning on Multiple Rewards
arxiv.org·7h
🎯Reinforcement Learning
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