Challenges of New Encoding Scenarios: Reflections on Measuring Perceived Quality
sonnati.wordpress.com·23h
💻Software Engineering
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14 Doomsday Predictions That Were Dismissed Until They Started Coming True
yahoo.com·8h
💪Fitness
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What's Next in Agentic Coding
seconds0.substack.com·2d·
Discuss: Substack
💻Software Engineering
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Top 10 Technology Trends for 2026
goodstrat.com·1d
💻Software Engineering
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LinkedIn is making it easier to search for people with AI - The Verge
news.google.com·1d
💪Fitness
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AI predicts when donor livers are viable, potentially slashing canceled transplants by 60%
medicalxpress.com·1d
💪Fitness
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Measuring political bias in Claude
anthropic.com·1d·
Discuss: Hacker News
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Opinion | AI Is a Tool, Not a Soul - The Wall Street Journal
news.google.com·1d
💻Software Engineering
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Investigating the Great AI Productivity Divide: Why Are Some Developers 5x Faster?
docker.com·21h
💻Software Engineering
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A Photomicrographic Dataset of Rocks for the Accurate Classification of Minerals
nature.com·3d
💻Software Engineering
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Similarweb launches AI citation analysis framework as zero-click searches rise
ppc.land·17h
💻Software Engineering
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Arbiter — Open Source LLM Evaluation Library for Python
github.com·1d·
Discuss: r/ClaudeAI, r/opensource
💻Software Engineering
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Time-Aware Policy Learning for Adaptive and Punctual Robot Control
arxiv.org·3d
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Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation
arxiv.org·3d
💻Software Engineering
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Practical considerations when designing an online learning algorithm for an app-based mHealth intervention
arxiv.org·2d
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Tech With Tim: Python for Machine Learning - Complete Roadmap!
dev.to·2d·
Discuss: DEV
💻Software Engineering
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Answering Students' Questions on Course Forums Using Multiple Chain-of-Thought Reasoning and Finetuning RAG-Enabled LLM
arxiv.org·1d
💻Software Engineering
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🚀LLM Overthinking? DTS makes LLM think shorter and answer smarter
reddit.com·2d·
Discuss: r/LLM
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VideoSSR: Video Self-Supervised Reinforcement Learning
arxiv.org·4d
💻Software Engineering
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CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models
arxiv.org·4d
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