What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later
towardsdatascience.com·14h
⚡Incremental Computation
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Open Sourcing Kubetorch
🔓Open Source Software
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How We Saved 70% of CPU and 60% of Memory in Refinery’s Go Code, No Rust Required.
📊Performance Profiling
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Real-time stock volatility prediction with deep learning on a time-series DB
🌊Streaming Databases
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Kubernetes Isn’t Your AI Bottleneck — It’s Your Secret Weapon
thenewstack.io·16h
📦Container Security
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Good abstractions for humans turn out to be good abstractions for LLMs
✨Effect Handlers
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Honest take: I tested 12+ AI vibe coding tools, but this one actually surprised me
📏Code Metrics
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Optimized Grid-Interactive Energy Storage (GIES) via Heterogeneous Ensemble Learning
🌊Streaming Systems
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Observability Made Easy: How AI & OpenTelemetry Tame Tool Sprawl
👁️System Observability
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Quoting Barry Warsaw
simonwillison.net·1d
🦀Rust Macros
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Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
arxiv.org·3h
🧠Machine Learning
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Sherlock: Reliable and Efficient Agentic Workflow Execution
arxiv.org·1d
⚡Proof Automation
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Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
arxiv.org·1d
💻Local LLMs
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Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling
arxiv.org·3h
🔲Cellular Automata
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Predicting Encoding Energy from Low-Pass Anchors for Green Video Streaming
arxiv.org·1d
🧠Learned Codecs
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PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization
arxiv.org·1d
🦀Rust Macros
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