🧠 Learned Indexes

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

How the Growth of AI May Drive a Fundamental Step-Change in the Domain Name Landscape
circleid.com·3d
📡DNS Archaeology
Can you solve it? The London cab that rode into history
theguardian.com·11m
📐Interval Arithmetic
There's No 'AI Bubble', Says Yahoo Finance Executive Editor
slashdot.org·9h
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Show HN: Using an LLM to sensibly sort a shopping receipt
treblig.org·3d·
Discuss: Hacker News
🔗Constraint Handling
Can AI Co-Design Distributed Systems? Scaling from 1 GPU to 1k
harvard-edge.github.io·2d·
Discuss: Hacker News
🎯Performance Proofs
GPT-5 for AI-assisted discovery
johndcook.com·2d·
Discuss: Hacker News
🎯Performance Proofs
microsoft/UserLM-8b - “Unlike typical LLMs that are trained to play the role of the 'assistant' in conversation, we trained UserLM-8b to simulate the 'user' rol...
huggingface.co·3d·
Discuss: DEV, Hacker News, r/LocalLLaMA
🎙️Whisper
RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.ai·3d·
Discuss: Hacker News
💻Local LLMs
The Porcelain to Come
stackdiver.com·2d·
Discuss: Hacker News
🔲Cellular Automata
Tiny AI model outperforms o3‑mini and Gemini 2.5 Pro in ARC‑AGI benchmark
the-decoder.com·3d
🧠Intelligence Compression
Solving the wrong problem
ufried.com·3d·
Discuss: Hacker News
⚡Incremental Computation
Banks are thermometers for the economy. Here are 3 things to watch when they report earnings.
businessinsider.com·21h
🧠Learned Indexing
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
ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
arxiv.org·3d
🧮Kolmogorov Complexity
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·3d·
Discuss: DEV
📊Multi-vector RAG
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·2d·
Discuss: DEV
🔨Compilers
Nearly Instance-Optimal Parameter Recovery from Many Trajectories via Hellinger Localization
arxiv.org·4d
🧮Kolmogorov Bounds