Quoting Steve Krouse
simonwillison.net·18h
💻Software development
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Rewrite of Gemini API (AI content)
funcall.blogspot.com·1d·
🤖AI
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Just call clone (or alias)
smallcultfollowing.com·2d·
💎Ruby
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Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem
arxiv.org·2d·
Discuss: Lobsters
💎Ruby
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Sharing something I just learned (again)
reddit.com·13h·
Discuss: r/godot
💎Ruby
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Why You Should Break Your ML Pipelines on Purpose
thenewstack.io·16h
🤖AI
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An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
arxiv.org·2d
🤖AI
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NumPy Array Operations Challenge: Master Indexing, Slicing, and Binary Operations (3 Hands-On Labs)
dev.to·4d·
Discuss: DEV
🤖AI
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Book review: “Build a DeepSeek Model (From Scratch)”
dev.to·5d·
Discuss: DEV
🤖AI
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Sensitivity of Small Language Models to Fine-tuning Data Contamination
arxiv.org·2d
🤖AI
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Quantum-Resistant Federated Learning with Homomorphic Encryption for Cross-Silo Medical AI Systems
dev.to·5d·
Discuss: DEV
🤖AI
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Building Intelligent Game AI with CXXGraph: From Grid Pathfinding to Strategic Navigation
dev.to·2d·
Discuss: DEV
🤖AI
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Meta’s SPICE framework lets AI systems teach themselves to reason
venturebeat.com·1d
🤖AI
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The FLuid Allocation of Surface code Qubits (FLASQ) cost model for early fault-tolerant quantum algorithms
arxiv.org·1d
🤖AI
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Deploying ML Models to Production: AWS Lambda vs ECS vs EKS - A Data-Driven Comparison
dev.to·2d·
Discuss: DEV
🤖AI
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Unlocking AI Reasoning: The Power of Hierarchical Skipping
dev.to·22h·
Discuss: DEV
🤖AI
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Large Language Models for Scientific Idea Generation: A Creativity-Centered Survey
arxiv.org·1d
🤖AI
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Walsh-Hadamard Neural Operators for Solving PDEs with Discontinuous Coefficients
arxiv.org·2d
🤖AI
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Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics
nature.com·11h
🤖AI
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