Microsoft AI’s first in-house image generator MAI-Image-1 is now available
theverge.com·1d·
🖥️Self-hosted apps
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AI currently automates 2.5% remote jobs
getsuperintel.com·1d·
Discuss: Hacker News
💡Entrepreneurship
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What data do coding agents send, and where to?
chasersystems.com·2d·
Discuss: Hacker News
🖥️Self-hosted apps
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Coding Agents Are Outliers
vivekhaldar.com·1d·
Discuss: Hacker News
👨‍💻AI Coding
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From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection
arxiv.org·2d
🛡️AI Security
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Why Nonparametric Models Deserve a Second Look
towardsdatascience.com·20h
🔧MLOps
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Capacity Review: The AI Workflow Engine That Understands Vibe Coding (2025)
danielkliewer.com·1d·
Discuss: Hacker News
🏛️Technical Architecture
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Automated Anomaly Detection and Predictive Maintenance in Self-Propelled Brush Rollers Using Bayesian Network Fusion
dev.to·1d·
Discuss: DEV
👁️Observability
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Balancing Cost, Power, and AI Performance
oreilly.com·1d
⚙️AI Infrastructure
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AI as Muse: Unlocking Mathematical Secrets Through Collaborative Discovery
dev.to·4d·
Discuss: DEV
👨‍💻AI Coding
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Value Elicitation for a Socially Assistive Robot Addressing Social Anxiety: A Participatory Design Approach
arxiv.org·9h
💡Entrepreneurship
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Anatomically Constrained Transformers for Echocardiogram Analysis
arxiv.org·2d
🔧MLOps
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How AI Browsers Are the New Hotness and What This Means for Us
dev.to·21h·
Discuss: DEV
🖥️Self-hosted apps
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Interpretable Machine Learning for Reservoir Water Temperatures in the U.S. Red River Basin of the South
arxiv.org·2d
🔧MLOps
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Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
arxiv.org·9h
🔧MLOps
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Large Language Models as Information Sources: Distinctive Characteristics and Types of Low-Quality Information
arxiv.org·9h
🔧MLOps
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Fuzzy Soft Set Theory based Expert System for the Risk Assessment in Breast Cancer Patients
arxiv.org·1d
🔧MLOps
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I Spent Months Trying to "Revive" Our E2E Tests. Now I'm Building My Own AI Tool.
dev.to·5d·
Discuss: DEV
👨‍💻AI Coding
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Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling
arxiv.org·1d
🔧MLOps
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