Why We Ditched Next.js for TanStack Start
openpanel.dev·13h·
Discuss: DEV
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DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
arxiv.org·2d
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Google debuts AI chips with 4X performance boost, secures Anthropic megadeal worth billions
venturebeat.com·14h
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Optimizing Datalog for the GPU
dl.acm.org·1d·
Discuss: Lobsters
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American Wind Farms
tech.marksblogg.com·20h·
Discuss: Hacker News
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Key learnings from the State of Containers and Serverless report
datadoghq.com·1d
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Beyond the Medallion: Rethinking Data Architecture
blog.matterbeam.com·8h·
Discuss: Hacker News
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Which Chip Is Best?
blog.confident.security·8h·
Discuss: Hacker News
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<p>**Abstract:** This paper introduces a novel framework, Enhanced Semantic Graph Analysis (ESGA), for automated scientific literature review and hypothesis gen...
freederia.com·5h
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Day 26: The Dead Letter Queue Pattern
javatsc.substack.com·1h·
Discuss: r/programming
🧹Data Cleaning
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Context Engineering with Real-Time, Processed Data
confluent.io·2d·
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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·7h
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Getting Started with Kubernetes: A Complete Guide
dev.to·4h·
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AWS S3 Vectors at scale: Real performance numbers at 10 million Vectors
dev.to·16h·
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We Started with Jax but Moved to PyTorch
mlechner.substack.com·10h·
Discuss: Substack
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Query Compilation Isn't as Hard as You Think
databasearchitects.blogspot.com·15h·
Discuss: databasearchitects.blogspot.com
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Perplexity shows how to run monster AI models more efficiently on aging GPUs, AWS networks
theregister.com·1d
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Your AI-Powered Hub for Notes & Tasks: Built for Offline-First Productivity
dev.to·13h·
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My Hands-On Review of Kimi K2 Thinking: The Open-Source AI That's Changing the Game
reddit.com·1h·
Discuss: r/LocalLLaMA
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Expertise need not monopolize: Action-Specialized Mixture of Experts forVision-Language-Action Learning
paperium.net·44m·
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🧹Data Cleaning
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