Intuitions about records management for data scientists
thinkingrecords.co.uk·3d
🔗Data Provenance
Confusing the Map for the Territory
cacm.acm.org·5d
🌍Cultural Algorithms
Chatbots Aren’t Built for Ads
dbreunig.com·5d
📊Feed Optimization
How to (actually) become an expert in .NET
mijailovic.net·17h·
Discuss: r/programming
🔄Reproducible Builds
Resist – Open-Source extension that lets you control your Twitter Feed
bipinsuresh.info·3d·
Discuss: Hacker News
🎛️Feed Filtering
ChatGPT's Micro-Cap Portfolio: Week 10
nathanbsmith729.substack.com·3h·
Discuss: Substack
🌊CBOR Streaming
Google’s Circle to Search can now translate as you scroll
techcrunch.com·3d
🇯🇵Japanese Computing
The Angels and Demons of Nondeterminism
buttondown.com·3d·
Discuss: Hacker News
💻Programming languages
Popular chatbots are amplifying more misinformation, study finds
axios.com·1d·
Discuss: Hacker News
📰RSS Reading Practices
The History of Smartphones from Keypads to Touchscreens
dev.to·1d·
Discuss: DEV
🇫🇮Finnish Computing
Loverse: Japan’s New AI Dating App Where Every Match Is Virtual
tokyoweekender.com·2d·
Discuss: Hacker News
🇯🇵Japanese Computing
GPT-5: The Case of the Missing Agent
secondthoughts.ai·3d·
Discuss: Hacker News
🔲Cellular Automata
The History of IBM and Its Role in the Development of Modern Computing
dev.to·2d·
Discuss: DEV
🍎Apple Computing
Meta-Imputation Balanced (MIB): An Ensemble Approach for Handling Missing Data in Biomedical Machine Learning
arxiv.org·3d
📊Count-Min Sketch
Beyond Synthetic Augmentation: Group-Aware Threshold Calibration for Robust Balanced Accuracy in Imbalanced Learning
arxiv.org·3d
📊Learned Metrics
Top Tools and Frameworks for AI Chatbot Development
dev.to·4d·
Discuss: DEV
🎙️Whisper
Language Models Do Not Follow Occam's Razor: A Benchmark for Inductive and Abductive Reasoning
arxiv.org·3d
🌳Context free grammars
Why Software Dev in 2026 Will Shock You
dev.to·7h·
Discuss: DEV
🔄Language Evolution
AI-Driven Anomaly Detection in Bridge Structural Health Monitoring via Spatiotemporal Graph Neural Networks
dev.to·2d·
Discuss: DEV
🌀Riemannian Computing
An Efficient GNNs-to-KANs Distillation via Self-Attention Dynamic Sampling with Potential for Consumer Electronics Edge Deployment
arxiv.org·4d
🎧Learned Audio