Memory Allocators, Performance Optimization, Microsoft Research, Arena Allocation

Rust compilation is resource hungry!
aditya26sg.substack.com·3d·
⚠️Rust Unsafe
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Show HN: LimiX-2M – The super-light foundation model redefining tabular learning
news.ycombinator.com·1d·
Discuss: Hacker News
🦙Ollama
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LLMs Are Randomized Algorithms
towardsdatascience.com·1d
🔀Procedural Generation
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Show HN: Agent Playbook – An open-source Storybook-like playground for AI agents
github.com·8h·
Discuss: Hacker News
🖼️Egui
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Beyond ChatGPT: 5 Under-the-Radar AI Tools Revolutionizing Your Daily Productivity
dev.to·11h·
Discuss: DEV
💬Prompt Engineering
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Decentralized Compute for AI: Exploring Neurolov’s Browser-Native Infrastructure and the Role of NLOV
dev.to·1d·
Discuss: DEV
🌍Edge Computing
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Show HN: LeanSpec - Built in 10 days using the specs it defines
github.com·3d·
Discuss: Hacker News
📊Performance Tools
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Two Hours to Find a Swapped String
dev.to·16h·
Discuss: DEV
📐Type Theory
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Adaptability as the Core of Software Design
dev.to·11h·
Discuss: DEV
🎭Program Synthesis
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Unlocking True Concurrency in Python 3.13: Mastering Free-Threaded Mode for High-Performance Applications
dev.to·3d·
Discuss: DEV
🔄Concurrency
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Maximizing Efficiency of Dataset Compression for Machine Learning Potentials With Information Theory
arxiv.org·13h
📊Information Theory
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FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
arxiv.org·13h
📦Folly
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Learning-Based Channel Access in Wi-Fi: A Multi-Armed Bandit Approach
arxiv.org·13h
📊Information Theory
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Automated Multi-Parameter Cardiac MRI Analysis via Hyperdimensional Pattern Matching
dev.to·12h·
Discuss: DEV
🧠Machine Learning
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TAI #178: Kimi K2 Thinking Steals the Open-Source Crown With a New Agentic Contender
pub.towardsai.net·3d
💬Prompt Engineering
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EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization
arxiv.org·13h
🧬Computational Biology
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Bayesian Mixture of Experts For Large Language Models
arxiv.org·1d
💬Prompt Engineering
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How to Build Production-Ready RAG Systems (at Scale, with Low Latency & High Accuracy)
dev.to·4d·
Discuss: DEV
🥑Avro
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