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ai
109 postsThe End of Cheap Data: Rethinking the Scaling Laws
The shift from cheap passive data to interaction data is crucial for AI. Engineers must focus on creating high-quality environments for effective learning.
The Commons: Experiments in Knowledge Inheritance Among LLM Agents
The Commons explores knowledge inheritance and errors among LLM agents through experimental research.
What We Learned from Reproducing 2,200 Papers from ICML 2026
The ICML 2026 hackathon reproduced 2,226 papers, raising questions about AI research reliability.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comHow to Prevent AI Coding Agents from Losing Important Features
Learn how to use preservation anchors to prevent AI coding agents from losing important features. Explore prose, tests, and database constraints.
Benchmarking LLMs in File System Design and Implementation
The Bench framework evaluates LLM performance in file system development with 505 tasks, highlighting capabilities and failure mitigation.
JustAPI: A Rust-Based Python Web Framework
JustAPI is a Rust-based Python web framework that offers high performance and efficiency.
Uber Open-Sources Security Monitoring for Claude Code, Cursor, and Codex
Uber has released its ADR security system for AI agents like Claude Code and Cursor as open source.
Security Flaws in AI Agent Frameworks Expose Deeper Issues
Check Point reveals critical security flaws in AI frameworks, stressing the need for systemic fixes.
Provenance: It Can't Just Be a Sticker
Provenance is essential for verifying content origins. An analysis of C2PA's structural flaws and proposed solutions.
Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference
Explore practical guidelines for optimizing AI model attention and inference efficiency.