Predicted 'neglectons' hold promise for robust, universal quantum computing
physicsworld.com·4h·
Discuss: Hacker News
🔐Cryptography
Database.news – curated list of database news from authoritative sources
database.news·3d·
Discuss: Lobsters, Hacker News
🗄️Database Theory
Wait Don't spawn that task – Comparing patterns for mutable state
taping-memory.dev·1d·
Discuss: Hacker News, Hacker News, r/programming
⚡Concurrency
Why You Can’t Trust a Chatbot to Talk About Itself
wired.com·16h
🔗Parser Combinators
The AI Was Fed Sloppy Code. It Turned Into Something Evil.
quantamagazine.org·1d·
Discuss: Hacker News, Hacker News
🤖Sci-Fi
How to do code reviews with AI tools
newsletter.techworld-with-milan.com·10h·
Discuss: r/programming
🔍Static Analysis
AI cuts monthly financial close time by 7.5 days: MIT/Stanford study
finance.yahoo.com·2h
🗄️Database Theory
How Graphs Boost LLM Precision and Explainability in Cybersecurity
hackernoon.com·3d
🧭SMT Solvers
Chemistry LLM developed for faster drug discovery
phys.org·6h
🔧Compiler Design
Moving Beyond RTL at #62DAC
semiwiki.com·8h
🔧Compiler Design
Pareto Multi-Objective Alignment for Language Models
arxiv.org·2d
🔗Parser Combinators
A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health
arxiv.org·1d
🎲Probabilistic Programming
Hallucination vs interpretation: rethinking accuracy and precision in AI-assisted data extraction for knowledge synthesis
arxiv.org·21h
🔗Parser Combinators
HTTP Request Processing with Zero-Copy Optimization(0979)
dev.to·1d·
Discuss: DEV
🤝Protocol Design
Building ML Infrastructure in TypeScript - Part 1: The Vision
dev.to·1d·
Discuss: DEV
🧮Programming Language Theory
Fine-Tuning LLaMA in 5 Minutes with Unsloth - Unrivaled Speed & Simplicity
dev.to·2d·
Discuss: DEV
🎲Probabilistic Programming
The best explanation of LLMs I've ever seen is in this new book.
threadreaderapp.com·2d
🔗Parser Combinators
Elegant Middleware Architecture Implementation(2545)
dev.to·2d·
Discuss: DEV
🦀Rust
How I Built a Codebase-Wide AI Memory That Scales With My Repo
dev.to·13h·
Discuss: DEV
🧭SMT Solvers
LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
arxiv.org·2d
🎲Probabilistic Programming