Why Not All AI Works the Same: A Quick Breakdown for Builders
youtube.com·1d·
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The option premium view of bubbles: why we need our speculative manias
jamesthomason.com·10h·
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Show HN: Charl – ML language with native tensors and autograd
charlbase.org·2d·
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How to Build Agents with GPT-5
towardsdatascience.com·1d
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Why 95% of AI Pilots Fail — and What the Other 5% Do Differently
salesforce.com·14h
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Response to "Taking AI Welfare Seriously": The Indirect Approach to Moral Patienthood
lesswrong.com·1d
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The next phase of dev: Building for MCP and the open web
blog.logrocket.com·1d
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Conversational Agents for Building Energy Efficiency -- Advising Housing Cooperatives in Stockholm on Reducing Energy Consumption
arxiv.org·2h
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Fast‑Track Knowledge Bases: How to Build Semantic AI Search by Andriy Burkov
dev.to·2d·
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Diversification Strategies Using AI-Powered Insights
dev.to·1d·
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baidu/ERNIE-4.5-VL-28B-A3B-Thinking released. Curious case..
huggingface.co·2d·
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I built an AI tool to practice system design like LeetCode — would love feedback!
dev.to·16h·
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Algorithmic Advice as a Strategic Signal on Competitive Markets
arxiv.org·2h
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LLMs vs. Traditional Sentiment Tools in Psychology: An Evaluation on Belgian-Dutch Narratives
arxiv.org·1d
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LLM Output Drift: Cross-Provider Validation & Mitigation for Financial Workflows
arxiv.org·1d·
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Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs
arxiv.org·2d
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RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation
arxiv.org·1d
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Efficient Long-context Language Model Training by Core Attention Disaggregation
dev.to·20h·
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From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
arxiv.org·1d
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The Rise of AI-Powered Cybersecurity: How Machine Learning Is Changing the Game
dev.to·2d·
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