My First Multi-GPU Kernel: Writing All-to-All for AMD MI300X
gau-nernst.github.io·16h·
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🦀Rust
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Large reasoning models almost certainly can think
venturebeat.com·2d·
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🦀Rust
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Breakthrough in Bioelectronics: Artificial Neurons Mimic Nature
techlife.blog·22h·
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wearables
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Is it worrying that 95% of AI enterprise projects fail?
seangoedecke.com·17h·
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Learning to program "recycles" preexisting F-P pop codes of logical algorithms
jneurosci.org·1d·
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The AI Capability Gap
blog.dwac.dev·2d·
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Human-in-the-loop as a service – API for routing tasks to experts
huminloop.com·1h·
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🔌PCB Design
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·23h·
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🔌PCB Design
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Dive into Systems
diveintosystems.org·42m·
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The Evolution of GPUs: How Floating-Point Changed Computing
dell.com·1d·
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Our newest model: Chandra (OCR)
datalab.to·1d·
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Show HN: Chatolia – create, train and deploy your own AI agents
chatolia.com·20h·
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Can-t stop till you get enough
cant.bearblog.dev·23h·
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The AI Learning Plateau
zdziarski.com·1d·
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wearables
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Deep DIVE: AI progress continues, as IQ scores rise linearly
maximumtruth.org·20h·
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📈Apnea-Hypopnea Index
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Generation at the Speed of Thought: Speculative Decoding
bittere.substack.com·1d·
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ISC2 Security Congress: The shaky state of AI security today
scworld.com·1d·
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Masked Softmax Layers in PyTorch
mcognetta.github.io·1h·
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Stochastic computing
scottlocklin.wordpress.com·3d·
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Context-Bench: Benchmarking LLMs on Agentic Context Engineering
letta.com·2d·
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