7x faster JSON in SQL: a deep dive into Variant data type
e6data.com·1d·
Discuss: Hacker News
🎭Polymorphic Variants
Rethinking PostgreSQL buffer mapping for modern hardware architectures
orioledb.com·1h·
Discuss: Hacker News
Cache Optimization
Efficient and accurate search in petabase-scale sequence repositories
nature.com·3d·
Discuss: Hacker News
📝Text Algorithms
Stop Chunking Blindly: How Flat Splits Break Your RAG Pipeline Before It Even Starts
levelup.gitconnected.com·1d·
Discuss: r/LLM
🪢Rope Data Structures
Foreign language grammar learning with Claude: how accurate is it?
reddit.com·2h·
Discuss: r/ClaudeAI
📋Backus-Naur Form
embedding model which is good for short term tokens?
reddit.com·4h·
Discuss: r/LocalLLaMA
🏷️Attribute Grammars
Agents 2.0: From Shallow Loops to Deep Agents
philschmid.de·15h
🔄Subinterpreters
How Do We Align Large Language Models with Human Values?
pub.towardsai.net·3d
🪜Recursive Descent
Debugging Humidity: Lessons from deploying software in the physical world
physical-ai.ghost.io·1d·
Discuss: Hacker News
🛡️Error Boundaries
Unforgettable factory revisited
holyblackcat.github.io·2d·
Discuss: r/cpp
🪆Embedded DSLs
Patience and Willingness to Be Slow
lesswrong.com·2d
💬Interactive REPLs
Refactoring: A way to write better Code
dev.to·1d·
Discuss: DEV
🚚Code Migration
Title: How I built a lightweight runtime stability layer for AI agents
dev.to·7h·
Discuss: DEV
🏰Capability Machines
SLip - An aspiring Common Lisp environment in the browser.
lisperator.net·2d·
Discuss: r/programming
🐍lisp
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
arxiv.org·2d
🔄Subinterpreters
Announcing state-machines: Rust Port of Ruby's state_machines Gem
reddit.com·1d·
Discuss: r/rust
⚙️Async State Machines
Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
arxiv.org·4d
🔬Hindley-Milner Extensions
h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
arxiv.org·3d·
Discuss: Hacker News
🪜Recursive Descent
Implicit Models: Expressive Power Scales with Test-Time Compute
arxiv.org·5d
🌱Minimal ML
CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
arxiv.org·2d
🔄Coroutines