The Myth of RAM (2014)
🗄databases and optimization
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ETHEL — Emergent Tethered Habitat-aware Engram Lattice -- ok, so it sounds a bit pretentious... but it's literal at least?
🗄databases and optimization
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Show HN: Kumi – a portable, declarative, functional core for business logic
🗄databases and optimization
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Book Review: ‘The Slip,’ by Lucas Schaefer
nytimes.com·16m
🧗bouldering or lead climbing
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Controlled Vocabularies
🗄databases and optimization
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Unleashing autonomous AI agents: Why Kubernetes needs a new standard for agent execution
🗄databases and optimization
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Decoratypes: An extensible crystal taxonomy for machine learning-guided materials discovery
link.aps.org·8h
🗄databases and optimization
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Everything You Need to Know About LLM Evaluation Metrics
machinelearningmastery.com·1d
🗄databases and optimization
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.NET 10.0 is Ready
heise.de·29m
🗄databases and optimization
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OpenAgents Was Dubbed "VC Bait" in China. Then, a Voice Cut Through the Noise
🗄databases and optimization
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kserve/kserve
github.com·2d
🗄databases and optimization
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Baseten takes on hyperscalers with new AI training platform that lets you own your model weights
venturebeat.com·1d
🗄databases and optimization
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DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion
arxiv.org·5h
🗄databases and optimization
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Episode 1: Arrays — The Hidden Logic Behind How Your Code Remembers
🗄databases and optimization
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Minimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs
arxiv.org·2d
🗄databases and optimization
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An Empirical Study of Reasoning Steps in Thinking Code LLMs
arxiv.org·1d
🗄databases and optimization
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AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys
arxiv.org·5h
🗄databases and optimization
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