📱 Edge AI

TinyML, Model Optimization, Low-power Inference, On-device Learning

The End of Big, Dumb AI Data
procurefyi.substack.com·1d·
Discuss: Substack
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I tried to get 600 dollars "deep think" for local models by making them argue with each other for hours. It's slow, but it's interesting
reddit.com·18h·
Discuss: r/LocalLLaMA
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How to Give Your RTX 4090 Nearly Infinite Memory for LLM Inference
medium.com·21h·
Discuss: Hacker News
🔧Hardware
xAI made people's conversations with its chatbot public on Google w/o warning
forbes.com·1h·
Discuss: Hacker News
🎯reinforcement learning
Escaping the Steamcar Era of AI
speakez.tech·1d·
Discuss: Hacker News
🎨Neural Rendering
The lottery ticket hypothesis: why neural networks work
nearlyright.com·1d·
Discuss: Hacker News
🎯reinforcement learning
The Hierarchical Reasoning Model
jdsemrau.substack.com·32m·
Discuss: Substack
🎯reinforcement learning
Implementing Gist Memory: Summarizing and Searching Long Docs with a ReadAgent
inference-docs.cerebras.ai·1h·
Discuss: Hacker News
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We must build AI for people; not to be a person
mustafa-suleyman.ai·1h·
Discuss: Hacker News
🎯reinforcement learning
Cursor: 1.5x Faster Moe Training on Blackwell with MXFP8 Kernels
cursor.com·16h·
Discuss: Hacker News
🔱Triton
Dangers of AI
bryanhogan.com·10h·
Discuss: Hacker News
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Quantifying Baseball Pitch Tunneling with K-Nearest Neighbors
runningonnumbers.com·12h·
Discuss: Hacker News
👁️Computer vision
How to model the world? Introduction to Laplace Neuron
abibulic.github.io·1d·
Discuss: Hacker News, Hacker News
🎛️Control theory
Trap: Autoregressive Transformers in APL
github.com·1d·
Discuss: Lobsters
🔩Embedded Rust
Fuzzing Hardware Like Software (2021)
arxiv.org·18h·
Discuss: Hacker News
🔧Hardware
Show HN: Stateful LLM inference (no cost for input tokens, not prompt-caching)
news.ycombinator.com·2d·
Discuss: Hacker News
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AGI's Moving Finish Line
signalfire.com·1d·
Discuss: Hacker News
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GPT-OSS from the Ground Up
cameronrwolfe.substack.com·22h·
Discuss: Substack
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Cache Me If You Can (2017)
queue.acm.org·1d·
Discuss: Hacker News
🕸️Mesh Networks
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-Scale Pretraining
blog.datologyai.com·1d·
Discuss: Hacker News
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