AI controls satellite in orbit for first time
semafor.com·1d
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<p>**Abstract:** This paper introduces Causal Contrastive Learning (CCL), a novel framework for generating more robust and interpretable counterfactual explanat...
freederia.com·23h
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Researchers Surprised That With AI, Toxicity is Harder To Fake Than Intelligence
tech.slashdot.org·46m
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The Vogue Business AI Tracker
vogue.com·1d
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The Vibe Coding Evolution: Why AI Needs Enterprise-Grade Team Features (And How Breaking Down Your Workflow Changes Everything)
dev.to·4h·
Discuss: DEV
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Top AI Test Case Generators in 2025: Automate Software Testing with Smarter AI Tools
dev.to·7h·
Discuss: DEV
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Building an Advisory Expert System to Find the Best Apartments in Colombo
pub.towardsai.net·10h
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AdvisingWise: Supporting Academic Advising in Higher Educations Through a Human-in-the-Loop Multi-Agent Framework
arxiv.org·1d
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Import AI 434: Pragmatic AI personhood; SPACE COMPUTERS; and global government or human extinction;
importai.substack.com·2d·
Discuss: Substack
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How AI Is Revolutionizing Website Development Services
dev.to·8h·
Discuss: DEV
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Principles for Creating with AI (update)
cjchilvers.com·1d
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Mitigating Negative Flips via Margin Preserving Training
arxiv.org·9h
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Why Web Developers Should Embrace AI-Powered Code Assistants in 2025
dev.to·3h·
Discuss: DEV
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How to Integrate AI into Your App with Momen
dev.to·2d·
Discuss: DEV
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Diagnosing and Breaking Amplitude Suppression in Seismic Phase Picking Through Adversarial Shape Learning
arxiv.org·1d
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Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
arxiv.org·9h
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How AI and ML Are Being Integrated Into Modern App Frameworks
pub.towardsai.net·20h
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Show HN: I have zero dev experience and built a 220k LOC fintech SaaS with AI
medium.com·22h·
Discuss: Hacker News
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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
arxiv.org·9h
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Understanding Electro-communication and Electro-sensing in Weakly Electric Fish using Multi-Agent Deep Reinforcement Learning
arxiv.org·9h
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