Technology Short Take 189
blog.scottlowe.org·4h
🏠Homelab Archaeology
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Show HN: I Built a Real-Time Transit Map for Sofia Using Open GTFS Data
pavlinbg.com·5h·
Discuss: Hacker News
🎞️MKV Internals
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[P] I build a model to visualise live collision risk predictions for London from historical TFL data
reddit.com·3h·
📊Count-Min Sketch
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Building AI Agents on the Frontend with Sam Bhagwat and Abhi Aiyer
softwareengineeringdaily.com·1d
Proof Automation
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New Dataset PerSense-D Enables Model-Agnostic Dense Object Segmentation
hackernoon.com·2d
📊Learned Metrics
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Migrating Whop from PostgreSQL to PlanetScale MySQL with 0 downtime
evilmartians.com·3d·
Discuss: Hacker News
🗄️PostgreSQL WAL
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AI scrapers request commented scripts
cryptography.dog·2h·
Discuss: Hacker News
🌐DNS Security
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Show HN: Loopletter: Open-source email marketing platform
github.com·3h·
Discuss: Hacker News
🔄Sync Engine
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Approximating Heavy-Tailed Distributions with a Mixture of Bernstein Phase-Type and Hyperexponential Models
arxiv.org·13h
🧮Kolmogorov Bounds
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Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
arxiv.org·13h
🕸️Graph Embeddings
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Is Your Old Software Holding You Back? Modernize with Microservices!
dev.to·7h·
Discuss: DEV
🌊Streaming Systems
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Squeezing Every Last Flop: The INT vs. FP Showdown for AI Dominance
dev.to·20h·
Discuss: DEV
🧠Machine Learning
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Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
arxiv.org·13h
⚔️Lean Tactics
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Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks
arxiv.org·13h
📊Quantization
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Show HN: Fast-posit, sw implementation of posit arithmetic in Rust
github.com·23h·
Discuss: Hacker News
🦀Rust Verification
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Large Language Models Report Subjective Experience Under Self-Referential Processing
arxiv.org·1d
🧮Kolmogorov Complexity
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Quantum-Leaping Collateral: AI-Powered Optimization for the Future of Finance
dev.to·12h·
Discuss: DEV
🕸️Tensor Networks
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Building Intelligent AI Agents with Modular Reinforcement Learning
dev.to·16h·
Discuss: DEV
Incremental Computation
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Fitting KNN: From Overfit to Underfit and Everything Between
dev.to·1d·
Discuss: DEV
📊Learned Metrics
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