The state of SIMD in Rust in 2025
shnatsel.medium.com·20h·
Discuss: Lobsters, Hacker News, r/rust
⚡SIMD
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Introducing Agent-o-rama: build, trace, evaluate, and monitor stateful LLM agents in Java or Clojure
blog.redplanetlabs.com·2d·
Discuss: Hacker News
📝Contract Testing
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Complexity fills the space it's given
wilsoniumite.com·2h·
Discuss: Hacker News
🧩Memory Pooling
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
reddit.com·2d·
Discuss: r/MachineLearning
🔗Parser Combinators
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AI-generated malware poses little real-world threat, contrary to hype
arstechnica.com·12h
🐛Fuzz Testing
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Information recycling in coherent state discrimination
arxiv.org·1d
💾information theory
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Can LLMs subtract numbers?
arxiv.org·1d·
Discuss: Hacker News
🔮Lisp Macros
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Reinforcement Learning: How Machines Learn to Make Smart Choices Like You Do
dev.to·20h·
Discuss: DEV
🌪️Chaos Engineering
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MedRECT: A Medical Reasoning Benchmark for Error Correction in Clinical Texts
arxiv.org·2d
🪄Magit
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·2d
🤖Scikit-learn
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Stop Calling LLMs AI
dev.to·1d·
Discuss: DEV
🌪️Chaos Engineering
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Speech-DRAME: A Framework for Human-Aligned Benchmarks in Speech Role-Play
arxiv.org·2d
🔗Parser Combinators
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feenkcom/gtoolkit v1.0.2284
github.com·1d
🪄Magit
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EVTAR: End-to-End Try on with Additional Unpaired Visual Reference
arxiv.org·2d
📐Gini Coefficient
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I'm working on a project I've been dreaming about for months and it feels good
github.com·1d·
Discuss: r/webdev
📝Contract Testing
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Code Smell 313 - Workslop Code
dev.to·2d·
Discuss: DEV
🐚Shell Scripting
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TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval
arxiv.org·6h
🔗Parser Combinators
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BengaliMoralBench: A Benchmark for Auditing Moral Reasoning in Large Language Models within Bengali Language and Culture
arxiv.org·6h
🔗Parser Combinators
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The rise of ‘Slow AI’: Why devs should stop speedrunning stupid
dev.to·5h·
Discuss: DEV
👀Code Reviews
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Chaos-inspired active learning for physics-informed neural networks to assess the reliability of multi-state systems
sciencedirect.com·19h
🌪️Chaos Engineering
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