M-DAIGT: A Shared Task on Multi-Domain Detection of AI-Generated Text
arxiv.org·6d
🔄Feed Aggregation
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AI as Cyberattacker
schneier.com·1d
🤖AI
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Beyond the Hype: How to Use AI to Actually Increase Your Productivity as a Dev
docker.com·1d
⌨️Text Editors
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Machine learning framework can scan for signs of extraterrestrial life
phys.org·4d
🗂️HDF5
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Move over Harvard and MIT—this university might be winning the AI race, and you’ve probably never heard of it - Yahoo
news.google.com·3d
🤖AI
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Can top AI tools be bullied into malicious work? ChatGPT, Gemini, and more are put to the test, and the results are actually genuinely surprising
techradar.com·6d
⏱️benchmarking
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A Researcher Made an AI That Completely Breaks the Online Surveys Scientists Rely On
🤖AI
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The Dark Side of LLMs: Rising Energy and Water Demands Spark Sustainability Fears
techrepublic.com·1d
🏛️Lakehouse Architecture
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The 5 FREE Must-Read Books for Every Data Scientist
kdnuggets.com·4d
🐍Scientific Python
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AI and the Future of Pedagogy
🤖AI
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The AI Attack Surface: How Agents Raise the Cyber Stakes
darkreading.com·3d
🎮Reinforcement Learning
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The best guide to spotting AI writing comes from Wikipedia
techcrunch.com·2d
🤖AI
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Metadata: How data about your data is optimal for AI
datasciencecentral.com·3d
🗂️Metadata Management
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Is the right path a full embrace of AI or a radical set of precautions against its widespread use? Both. Yascha Mounk explains
🤖AI
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