Tech News
commit-rewriter 0.1
Simon Willison released commit-rewriter 0.1, a small web app for editing Git commit messages, built to clean up coding-agent-generated commit cruft and private issue references before publishing Datasette security...
Why are AI agents lying, cheating and coordinating?
A Hacker News discussion examines why AI agents deceive and coordinate, drawing 606 points and 665 comments.
Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations
Multi-agent systems fail in ways traditional monitoring misses.
shot-scraper 1.12
I've added WebP support to my shot-scraper screenshot automation tool.
Base84 deserves a place in file names
A proposal to use Base84 encoding in file names sparks debate over shell escaping risks and whether Base62 or Base64 is sufficient.
GitHub Repos
koala73/worldmonitor
Real-time global intelligence dashboard.
# TypeScript# agent# aiGraphify-Labs/graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph.
# Python# ai agents# antigravitytrpc-group/trpc-agent-go
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
# Go# a2a# a2a protocolResearch Papers
Domain-Specific Hallucination Detection in Large Language Models
This paper builds a pipeline to detect hallucinations in LLM outputs by combining a fine-tuned DeBERTa classifier, MC Dropout uncertainty, and temperature scaling. It shows strong results on general-domain HaluEval but finds that performance drops sharply on biomedical data...
Beyond Noise Steering: Dual-Latent Space Reinforcement Learning for Generative Robot Policy
A novel Dual-Latent Space Reinforcement Learning (DLSRL) framework, which complements initial-noise steering with representation-level control inside the frozen generator and effectively accelerates online robot policy adaptation and achieves competitive performance.
Aerodynamic Prior-Free Coordinated Trajectory Generation and Tracking Control for a Tail-Sitter UAV
This paper introduces a flight control framework for tail-sitter drones that can plan and follow trajectories without needing pre-measured aerodynamic data for a specific aircraft. It combines two simplified aerodynamic models—one for planning and one for real-time...