Look At This Photograph - Passively Downloading Malware Payloads Via Image Caching
malwaretech.com·10h
💣ZIP Vulnerabilities
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2025 World Day for Audiovisual Heritage
fiatifta.org·1d
🏺Media Archaeology
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Handling Time
ardour.org·22h·
Discuss: Hacker News
⏱️SMPTE Timecode
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Show HN: An offline self-organising journal for work logging [OpenSrc]
journl.xyz·1d·
Discuss: Hacker News
🚀Indie Hacking
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The Future of Lodash
blog.ulisesgascon.com·18h·
Discuss: Hacker News
🔄Language Evolution
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METR review of OpenAI's GPT-OSS fine-tuning safety methodology
metr.org·1d·
Discuss: Hacker News
🔄Archival Workflows
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A good PR review process is resilient to AI "slop" concerns
pcloadletter.dev·1d·
Discuss: Hacker News
📏Code Metrics
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The System Skill Pattern
shruggingface.com·1d·
🪟Awesome windows command-line
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Study: MRI contrast agent causes harmful metal buildup in some patients
dev.to·4h·
Discuss: DEV
🧲Magnetic Resonance
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Windows in 2025 for Work and Creativity: How to Build a Fast, Secure, and Comfortable System
dev.to·2d·
Discuss: DEV
🪟Awesome windows command-line
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Preserving Digital Memory at the Festival of Floppies
digitalpreservation-blog.lib.cam.ac.uk·16h
💾Floppy Imaging
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Autonomous Electrolyzer Stack Degradation Prediction via Multi-Modal Bayesian Inference
dev.to·5h·
Discuss: DEV
🌊Stream Processing
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Building Enterprise-Level Monitoring: From Prometheus to Grafana Dashboards
dev.to·1d·
Discuss: DEV
👁️Observatory Systems
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Large Language Model enabled Mathematical Modeling
arxiv.org·1d
🔢Denotational Semantics
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What Is LLM‑as‑a‑Judge? A Practical, Reliable Path to Evaluating AI Systems
dev.to·10h·
Discuss: DEV
💻Local LLMs
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Your AI Can’t Save a File. Here’s How to Give It Superpowers.
dev.to·1d·
Discuss: DEV
🪟Awesome windows command-line
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Processing 10 Million Records with AI on a $1,500 Budget
dev.to·4d·
Discuss: DEV
🤖Archive Automation
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The end of one-sized-fits-all prompts: Why LLM models are no longer interchangeable
dev.to·23h·
Discuss: DEV
🦋Format Evolution
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What Makes Compliance Reporting a Game-Changer for Modern Businesses?
dev.to·2d·
Discuss: DEV
🔗Data Provenance
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Improving Predictive Confidence in Medical Imaging via Online Label Smoothing
arxiv.org·1d
🧠Machine Learning
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