🧠 Learned Indexes

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

Jobs that AI replaces
kau.sh·4h
🤖AI Translation
Eon – An Effects-Based OCaml Nameserver
ryan.freumh.org·13h·
Discuss: Lobsters, Hacker News
🌐DNS Security
Mathematical model of memory suggests 7 senses are optimal
skoltech.ru·2d·
Discuss: Hacker News
🔲Cellular Automata
LoRA Explained: Faster, More Efficient Fine-Tuning with Docker
docker.com·2d
💻Local LLMs
Evaluating Gemini 2.5 Deep Think's math capabilities
epoch.ai·1d·
Discuss: Hacker News
🎯Performance Proofs
LLM Optimization Notes: Memory, Compute and Inference Techniques
gaurigupta19.github.io·5d·
Discuss: Hacker News
💻Local LLMs
Show HN: Using Haskell to write an NES emulator
github.com·3h·
Discuss: Hacker News
🕹Emulation
More Than Code: Gearing Up for the Hackathon of the Year!🚀
dev.to·3h·
Discuss: DEV
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Tech With Tim: How to Build AI Agents in Python
dev.to·5h·
Discuss: DEV
🔲Cellular Automata
Activation Alchemist: Sculpting Stability with Functional Signatures
dev.to·1d·
Discuss: DEV
🔍Concolic Testing
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
huggingface.co·2d·
Discuss: Hacker News
📊Learned Metrics
Tech With Tim: Python Web Scraping: A Million Dollar Project Idea - FULL Build/Tutorial
dev.to·9h·
Discuss: DEV
🌀Brotli Internals
Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation
arxiv.org·1d
🎯Content Recommendation
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
arxiv.org·1d
🧠Machine Learning
Handling 100+ Website Scrapers with Python's asyncio
dev.to·47m·
Discuss: DEV
📰RSS Archaeology
StruSR: Structure-Aware Symbolic Regression with Physics-Informed Taylor Guidance
arxiv.org·2d
🧠Machine Learning
Revisiting Mixout: An Overlooked Path to Robust Finetuning
arxiv.org·2d
🧠Learned Codecs
ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
arxiv.org·1d
🧮Kolmogorov Complexity
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
🔨Compilers