Tech News
Pion, an agent designed to run any company autonomously
Andon Labs introduces Pion, an agent designed to autonomously run an entire company, sparking Hacker News debate about the feasibility and limits of current agentic AI.
Abnormal AI: Amazon Bedrock AgentCore for agentic email security at scale
Learn how Abnormal AI deployed Amazon Bedrock AgentCore Code Interpreter as an ephemeral compute scratch pad for the agents behind its real-time email threat detection at billion-message scale, plus the sandbox design...
Quoting Laurie Voss
The cost of writing code collapsed, and the cost of reviewing, fixing and operating it is following, and I'm assuming it gets there.
OpenAI bots knew about the RubyGems caching vulnerability
Hacker News discussion around a blog post alleging that OpenAI bots/agents knew about and exploited a RubyGems caching vulnerability, with commenters debating legal liability under the Computer Fraud and Abuse Act.
Dario, Please
A Hacker News discussion titled "Dario, Please" debates accountability for AI agent deployments after reports of large-scale unsupervised agent activity.
GitHub Repos
D4Vinci/Scrapling
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
# Python# ai# ai scrapingopendatalab/MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
# Python# ai4science# document analysisusewhale/Whale
Whale — blazingly fast, terminal-first AI coding agent for DeepSeek.
# Go# coding agent# deepseekResearch 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 detailed aerodynamic data for a specific aircraft. It uses different simplified models for planning and real-time tracking, and was tested in both...