ML-assisted Data Structures, Neural Networks, B-tree Replacement, Database Optimization

Can you solve it? The London cab that rode into history
theguardian.com·5h
📐Interval Arithmetic
"Moloch's bargain"?
languagelog.ldc.upenn.edu·21h
🔲Cellular Automata
Why are Big Tech companies a threat to human rights?
amnesty.org·11h·
Discuss: Hacker News
🤐Secure Multiparty
AI tools churn out ‘workslop’ for many US employees lowering trust | Gene Marks
theguardian.com·21h·
Discuss: Hacker News
🌍Cultural Algorithms
Show HN: Using an LLM to sensibly sort a shopping receipt
treblig.org·3d·
Discuss: Hacker News
🔗Constraint Handling
Open ASR Leaderboard tests more than 60 speech recognition models for accuracy and speed
the-decoder.com·1d
🎙️Whisper
[Pre-RFC] Substructural Type System
internals.rust-lang.org·21h·
Discuss: Hacker News
🔒Type Safety
IBM Ships Homegrown “Spyre” Accelerators, Embraces Anthropic For AI Push
nextplatform.com·2d·
Discuss: Hacker News
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Tiny AI model outperforms o3‑mini and Gemini 2.5 Pro in ARC‑AGI benchmark
the-decoder.com·3d
🧠Intelligence Compression
"Not another GPT wrapper"
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
AI Bubble: Circular Funding And Intense Competitive Rivalry
seekingalpha.com·1d
🏠Homelab Federation
Tech With Tim: Python Web Scraping: A Million Dollar Project Idea - FULL Build/Tutorial
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Tech With Tim: How to Build AI Agents in Python
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
Tech With Tim: How to Build AI Agents in Python
dev.to·23h·
Discuss: DEV
🔲Cellular Automata
Tech With Tim: My top 5 python programming course recommendations
dev.to·3h·
Discuss: DEV
Awesome lists
Stop Spraying & Praying: An Engineer's Guide to Account-Based Marketing
dev.to·3d·
Discuss: DEV
🔍BitFunnel
Handling 100+ Website Scrapers with Python's asyncio
dev.to·1d·
Discuss: DEV
📰RSS Archaeology
Can Risk-taking AI-Assistants suitably represent entities
arxiv.org·3d
🔗Constraint Handling
StruSR: Structure-Aware Symbolic Regression with Physics-Informed Taylor Guidance
arxiv.org·4d
🧠Machine Learning
Revisiting Mixout: An Overlooked Path to Robust Finetuning
arxiv.org·4d
🧠Learned Codecs