Anything Goes Style
theprogrammersparadox.blogspot.com·1d·
Discuss: theprogrammersparadox.blogspot.com
🔓Hacking
Re-reading Technopoly
surfingcomplexity.blog·3h·
Discuss: Hacker News
🧲Magnetic Philosophy
Experimenting with SQL:2023 Property-Graph Queries in Postgres 18
gavinray97.github.io·9h·
Discuss: Hacker News
🧬PostgreSQL Forensics
Show HN: Object database for LLMs that persists across chats (MCP server)
dry.ai·2d·
Discuss: Hacker News
🔄Sync Engine
Frequently Asked Questions about FHE
jeremykun.com·1d·
Discuss: Lobsters, Hacker News
🔐Homomorphic Encryption
How Grammarly and Kasta Made Ukraine a Global Clojure Hotspot
hackernoon.com·3d
🧠Lisp Dialects
The Seductions of A.I. for the Writer’s Mind
nytimes.com·1d·
Discuss: Hacker News, Hacker News
🏛Digital humanities
Dendritic Learning: open-source upgrade to PyTorch based on modern neuroscience
github.com·1d·
Discuss: Hacker News
🤖Grammar Induction
OpenAI's ChatGPT Agent Outperforms the Model Alone: Impact for Developers
belitsoft.com·1d·
Discuss: Hacker News
🖥️Terminal Renaissance
Ask HN: Would you use a serverless, pay-per-second model for AI inference?
news.ycombinator.com·1d·
Discuss: Hacker News
🌊Streaming Algorithms
Stop Writing Slow Rust: 20 Rust Tricks That Changed Everything
dev.to·6h·
Discuss: DEV
🦀Rust Macros
SmartDocs AI - Intelligent Documentation Search with Algolia MCP Server
dev.to·3d·
Discuss: DEV
🌀Brotli Internals
Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics
arxiv.org·2d
⚖️Feed Ranking
Graph or Chain? Choosing the Right Engine for Your AI App
dev.to·2d·
Discuss: DEV
🔗Topological Sorting
Smarter Code Reviews: OpenAI Meets GitHub PRs
dev.to·2d·
Discuss: DEV
🤖Archive Automation
Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition
arxiv.org·1d
📊Learned Metrics
Funnel-HOI: Top-Down Perception for Zero-Shot HOI Detection
arxiv.org·1d
🤖Advanced OCR
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning
arxiv.org·1d
📊Learned Metrics
Sandboxing AI - Extending AI Responsibly
dev.to·4d·
Discuss: DEV
🔒WASM Capabilities
[D] Liquid neural networks on time series
reddit.com·1d·
Discuss: r/MachineLearning
🧠Machine Learning