Computing, news, progress, software support

Research: Italy’s Piracy Shield Is Just As Big A Disaster As Everyone Predicted
techdirt.com·11h·
Discuss: Hacker News
🔗Peer-to-peer
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Selective retraining helps AI learn new skills without forgetting, study finds
infoworld.com·3h
🏗️AI Infrastructure
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Title: iOS 26 Beta: A Comprehensive Guide to Downloading, Installing, and Exploring the New Features
dev.to·1d·
Discuss: DEV
🎚️Audio Codecs
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LLMs and the Lessons We Still Haven't Learned
jampa.dev·1d·
Discuss: Hacker News
🤖AI agents
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Gowall v0.2.3 The OCR and Image Compression update (Swiss Army knife for image processing)
reddit.com·3d·
Discuss: r/golang
➡️Arrow Format
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What's The Deal With GitHub Spec Kit
den.dev·3d·
Discuss: Hacker News
🔍Static Analysis
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Zelos Tech Manages Hundreds of Millions of Files for Autonomous Driving with JuiceFS
dev.to·5d·
Discuss: DEV
🗃️SQLite
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Demystifying and Navigating AI Ethics in Power Electronics
arxiv.org·2d
Hardware Acceleration
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Unlocking the Secrets of Network Evolution: A New Approach to Predicting the Future
dev.to·1d·
Discuss: DEV
⚖️Consensus Networks
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Bag of Tricks for Subverting Reasoning-based Safety Guardrails
arxiv.org·1d
🏠Self-hosted AI
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Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
arxiv.org·10h
🏗️AI Infrastructure
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3 clever uses for a USB-C dock that aren't obvious
xda-developers.com·3d
📱Laptops
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Tech Voices: Open AI's deals with Oracle, Broadcom (AVGO:NASDAQ) - Seeking Alpha
news.google.com·1d
🖥computers
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I built a one-tap parking app because Maps made it too complicated
apps.apple.com·5h·
Discuss: Hacker News
⏱️productivity
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Introducing Beads: A coding agent memory system
steve-yegge.medium.com·2d·
🤖AI agents
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Dynamic Kalman Filter Optimization for Real-Time Traffic Flow Prediction Under Varying Demand Profiles
dev.to·15h·
Discuss: DEV
Time-Series Analytics
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Repeated-and-Offset QPSK for DFT-s-OFDM in Satellite Access
arxiv.org·1d
🎚️Audio Codecs
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Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering
arxiv.org·10h
🏗️AI Infrastructure
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Enhanced Sampling for Efficient Learning of Coarse-Grained Machine Learning Potentials
arxiv.org·1d
🧬Computational Biology
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