The Exhaust Port of Cohesion: Precision Provocation in LLMs
blog.gopenai.com·1d·
Discuss: Hacker News
👥Crowdsourcing
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The APM paradox
honeybadger.io·2d·
Discuss: Lobsters, Hacker News, Hacker News, r/devops, r/programming, r/webdev
💾Local-first Software
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Friday 5 December 2025 - 11am
informatics.ed.ac.uk·9h
🤖Machine Learning
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A.I. Is Deciding Who You Are
nytimes.com·3d
🤖AI Ethics
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How Perplexity Built an AI Google
blog.bytebytego.com·2d
🫧Filter Bubbles
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·1d·
Discuss: DEV
💬Natural Language Processing
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[Tool] RE-Architect: Automated binary analysis with multiple decompilers + AI explanations
github.com·19h·
Discuss: r/programming
🚀Indie Hacking
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When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs
arxiv.org·13h
🔢Kolmogorov Complexity
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BondBERT: What we learn when assigning sentiment in the bond market
arxiv.org·13h
📊TF-IDF
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DPO-F+: Aligning Code Repair Feedback with Developers' Preferences
arxiv.org·1d
🤝Paxos
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When numbers lie: the Java equality bug every dev hits at least once
dev.to·16h·
Discuss: DEV
🔢Kolmogorov Complexity
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How AI improves quality assurance and operational reliability
techradar.com·8h
🤖AI Ethics
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Lately, coding with Claude has been very smooth. I am able to complete experiments on time.
reddit.com·1d·
Discuss: r/ClaudeAI
🔢Kolmogorov Complexity
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·13h
💬Natural Language Processing
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Adaptive Bias Mitigation via Synthetic Data Augmentation with Generative Adversarial Networks in Robotic Environments
dev.to·4d·
Discuss: DEV
🤖AI Ethics
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Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems
arxiv.org·1d
🤖AI Ethics
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How AI Coding Agents Are Reshaping Developer Workflows
dev.to·4h·
Discuss: DEV
🤖AI Ethics
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
dev.to·2d·
Discuss: DEV
📊Bayesian Inference
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98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem
venturebeat.com·1d
🤖AI Ethics
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BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
arxiv.org·13h
📊TF-IDF
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