AMINᴿᴾᴳ

Introducing Andarium: Android emulator for iOS, available in TestFlight beta. With a real user-mode Linux kernel and Vulkan support, it can run many 3D games on modern iOS devices. Join TestFlight beta: testflight.apple.com/join/qy… Source code: github.com/imxieyi/Kernarium

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THIS IS MASSIVE. THE ONE EVERYONE'S BEEN WAITING FOR 📱🔥 I've had Hermes on my phone for a week. Now you can too. The official Hermes Agent app is in open beta on iOS and Android. Once your agent lives in your pocket, there's no going back. You're going to love it. What it does: ▸ Chat with your agent and watch it work through its tools ▸ Live Mode: talk to it out loud, a pause sends it ▸ Routines on a schedule that deliver to Telegram, Discord, Slack or Teams ▸ One-tap skill installs ▸ Connect services like Shopify, Stripe, Notion, Linear and Slack ▸ Plugins, MCP, projects, artifacts and a Kanban board ▸ Usage and spend tracking ▸ Terminal over SSH or Mosh, plus your agent's files and config ▸ Light and dark themes, accent colors and custom app icons What you can do with it: ▸ Talk through an idea on a walk and hand it off ▸ Set up a morning brief from bed that lands in Discord ▸ Add a skill the moment you need it ▸ Check what your agent spent today ▸ Drop a task on your board from the grocery line Hermes just left the desk. Beta spots are limited, so grab yours fast. hermes-agent.nousresearch.co…

Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications. On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments. While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software. After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely. openai.com/index/securing-ou…