AI
Build production-ready AI coding agents, faster Meet the OpenHands Software Agent SDK—a toolkit for turning agent ideas into dependable software-engineering assistants. * Flexible by design: start with a few lines of code, then add custom tools, memory, and more. * Secure and portable: native sandboxed execution, seamless local→remote runs, built-in
AI
Ever read code and wonder "why does this exist"? This research taps into GitHub's natural-language breadcrumbs like pull requests, issues, and commit messages to help AI explain code with real project context. How it works: * Gather relevant GitHub discussions and structure them. * Explain the code'
AI
Encrypted LLM chats can still leak their topic Whisper Leak shows that even with TLS, streaming responses create telltale packet size and timing patterns. Across 28 popular models, these fingerprints let an eavesdropper classify prompt topics with near-perfect accuracy, flagging sensitive ones like "money laundering" and even recovering
AI
AI agents promise to speed up discovery by doing the messy parts of research—forming hypotheses, writing code, running experiments, and analyzing results. But do they actually handle end-to-end projects? InnovatorBench is a new benchmark+platform that tests agents on realistic Large Language Model (LLM) research workflows. * 20 tasks across
AI
AI agents are getting good at coding and research, but they still struggle with long, domain-specific projects. Training them is hard: full-time human annotation is too costly, while pure trial-and-error rarely finds successful paths. Apollo is a new sampling framework that blends lightweight, asynchronous human guidance with strict action-level filtering.
AgenticAI
What is "Agentic AI" really? Sebastian Benthall and Andrew Clark argue it’s best seen as a software delivery mechanism—like SaaS—that lets an application work autonomously inside complex enterprises. * Applications first: Agentic AI systems should be judged as products, not as foundation models. * Validate with users: