The Write Last, Read First Rule
tigerbeetle.com·19h·
Discuss: Hacker News
💰TigerBeetle
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Up and Down the Ladder of Abstraction
worrydream.com·1d·
Discuss: Hacker News
🔀Procedural Generation
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Understanding multi GPU Parallelism paradigms
datta0.github.io·1d·
Discuss: Hacker News
🔀SIMD Programming
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The Exhaust Port of Cohesion: Precision Provocation in LLMs
blog.gopenai.com·2d·
Discuss: Hacker News
💫Effect Systems
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Lately, coding with Claude has been very smooth. I am able to complete experiments on time.
reddit.com·2d·
Discuss: r/ClaudeAI
📱Edge AI
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I'm working on a project I've been dreaming about for months and it feels good
news.ycombinator.com·1d·
Discuss: Hacker News
🚀MLOps
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Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
arxiv.org·14h
⚛️Quantum Computing
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Computational Imaging Meets LLMs: Zero-Shot IDH Mutation Prediction in Brain Gliomas
arxiv.org·14h
🚀MLOps
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Fuzzy Soft Set Theory based Expert System for the Risk Assessment in Breast Cancer Patients
arxiv.org·1d
📐Linear Algebra
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A Modular, Data-Free Pipeline for Multi-Label Intention Recognition in Transportation Agentic AI Applications
arxiv.org·14h
📱Edge AI
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Deciphering Human Language for Machines: A Developer's Guide to NLP
dev.to·1d·
Discuss: DEV
💬Natural Language Processing
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Geonum – geometric number library for unlimited dimensions with O(1) complexity
github.com·3d·
Discuss: Hacker News
📏Linear Types
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About AI and context
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·2d
🔧Data Engineering
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D2-UC: A Distributed-Distributed Quantum-Classical Framework for Unit Commitment
arxiv.org·14h
⚛️Quantum Computing
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Show HN: Polyglot standard library HTTP client C/C++/Rust/Python and benchmarks
github.com·2d·
🛡️Error Handling
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Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?
arxiv.org·2d
💬Prompt Engineering
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TypeScript Rewrote Itself in Go?! What That “10x Faster” Hype Really Means
dev.to·1d·
Discuss: DEV
🦕Deno
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·2d
🧮Embeddings
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