Installing SearXNG on AlmaLinux/RHEL/Rocky Linux with Podman and SELinux
neelc.orgยท10h
๐Ÿ“ปHomebrew Protocols
Physics-informed AI excels at large-scale discovery of new materials
phys.orgยท2d
๐Ÿง Machine Learning
Who watches the watchers? LLM on LLM evaluations
stackoverflow.blogยท3d
๐Ÿ“Code Metrics
City lizards are more social
royalsocietypublishing.orgยท7hยท
Discuss: Hacker News
๐Ÿ”ฒCellular Automata
Welcome to the โ€˜papers, pleaseโ€™ internet
theverge.comยท20hยท
Discuss: Hacker News
๐Ÿ›กCybersecurity
We May Have a Path to the Fundamental Theory of Physics (2020)
writings.stephenwolfram.comยท2dยท
Discuss: Hacker News
โฐTime Crystals
There's No 'AI Bubble', Says Yahoo Finance Executive Editor
slashdot.orgยท11h
๐Ÿค–AI Curation
[Pre-RFC] Substructural Type System
internals.rust-lang.orgยท18hยท
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๐Ÿ”’Type Safety
Show HN: GitHub-native prediction markets using Issues (no DB)
news.ycombinator.comยท17hยท
Discuss: Hacker News
๐ŸŒŠApache Kafka
Stress-Testing Model Specs Reveals Character Differences among Language Models
arxiv.orgยท3d
๐Ÿ“‹Document Grammar
"Not another GPT wrapper"
dev.toยท1dยท
Discuss: DEV
๐ŸŒ€Brotli Internals
Unlock Your Enterprise Data: A Java/Spring Guide to AI-Ready Schema.org & JSON-LD
dev.toยท3dยท
Discuss: DEV
๐Ÿ“‹Document Grammar
Quantum Agents: The Algorithmic Alchemists Reshaping Discovery
dev.toยท1dยท
Discuss: DEV
โš›๏ธQuantum Algorithms
[D] Anyone using smaller, specialized models instead of massive LLMs?
reddit.comยท3dยท
๐Ÿ’ปLocal LLMs
FS-RWKV: Leveraging Frequency Spatial-Aware RWKV for 3T-to-7T MRI Translation
arxiv.orgยท4h
๐Ÿ“ŠQuantization
Prototyping Real-time Social Sentiment with Python
dev.toยท1dยท
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๐Ÿ“ŠFeed Optimization
Challenging n8n AI Agent with a personal productivity flow
dev.toยท16hยท
Discuss: DEV
๐Ÿค–Archive Automation
Tech With Tim: Why 1M People Tried This AI Coding Tool (Full Vibe Coding Tutorial)
dev.toยท14hยท
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๐ŸŒ€Brotli Internals
Tech With Tim: Cancel Your AI subscriptions | This All-in-one AI is All You Need (ChatLLM Review)
dev.toยท4hยท
Discuss: DEV
๐ŸŽ™๏ธWhisper
Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness
arxiv.orgยท4d
๐Ÿง Intelligence Compression