git-lazy-mount is a tool that lazily mounts a Git repository using FUSE, fetching files on demand. It is designed for coding agents in microVMs and integrates with sgrep to avoid pulling the entire repo during searches. Linux-only.

AI tools continue to grow more advanced, which simultaneously increases the speed at which attackers can find and exploit cyber vulnerabilities, and defenders can both find and patch them. The longer it takes for defenders—including banks, hospitals, and utilities—to access to the most powerful cybersecurity tools, the longer they will be vulnerable to potential attackers working overtime to develop or obtain ever-more-capable AI systems—whether nation-states or rogue criminal actors.

The top products that outperformed others in our lab testing include brands like Ecovacs, Apple, and more, and they are discounted for Prime Day.

AI SDK 7 introduces new features for developing and running AI agents, including reasoning control, tool context, runtime context, provider file uploads, MCP Apps, terminal UI, tool approvals, durability, timeouts, sandbox support, harness integration, and expanded multimodal capabilities.

Self-driving labs combine AI with automated hardware to let the system learn from experiments and autonomously decide what to do next, moving beyond mere automation to true autonomy.

A policy proposal by Tlbic aims to require AI systems to clearly identify themselves as non-human, addressing transparency and ethical concerns.

You’ve heard the warnings! Don’t tell ChatGPT your secrets. The robots are reading everything. Your data is the product. And yet here you are: using them as a subscriber. Because AI is genuinely useful! The good news: that distrust is healthy, and you don’t have to choose between using AI and protecting yourself. You can do both.

OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack.

AI makes it cheap to generate code and documents, but this leads to more review and verification work, actually slowing down delivery. Studies show that using AI tools can increase task time by 19% due to larger diffs and more artifacts. The problem is that output increases but throughput and outcomes remain flat. Organizations need to measure review time, rework rate, etc., rather than just token counts.

An open-source terminal UI configurator for Shure USB audio interfaces and microphones, supporting Linux, macOS, and Windows. Replaces the official ShurePlus MOTIV Desktop app.

Exa, a search engine built for AI agents, has raised $250 million in Series C funding at a $2.2 billion valuation, led by a16z. The company provides a high-quality web search API already used by over 400,000 developers including Cursor, Cognition, and HubSpot. Exa plans to use the funds to train next-generation models and scale infrastructure to handle hundreds of thousands of searches per second.

Proposes 'Intelligence Per Watt' (IPW) as a metric for AI system efficiency, analogous to performance-per-watt in computing. Local models answer 88.7% of single-turn queries, and hybrid inference can cut energy and costs by 60-80%. IPW also measures economic value and national competitiveness via 'Gross Domestic Intelligence' (GDI).

The AI 2027 Tracker shows 16 of 53 predictions confirmed as of May 2026, with progress at about 70% of the expected pace. Qualitative advances in agents, coding tools, infrastructure, and institutional responses have materialized, but key quantitative milestones remain uneven.

Google Vids is a new AI-powered video creation tool from Google Workspace, leveraging Gemini AI to automatically generate storyboards from prompts and files, and offering features like screen recording, AI avatars, Veo video generation, rich media library, and collaborative editing. It aims to make professional video creation accessible to everyone. Now generally available for Workspace Business and Enterprise plans, as well as consumer AI plans.

Learn how to build effective penetration testing agents, covering key considerations and best practices.

This tutorial guides you through building a lightweight personal AI agent in Google Colab, inspired by nanobot's core architecture. Starting from a provider abstraction, you'll add tool registration, session memory, lifecycle hooks, skills, and an MCP-style server. By recreating each building block yourself, you'll understand how messages, tools, memory, and model responses work together in a provider-agnostic agent loop.

Companies are facing soaring AI costs, but breakthroughs in open-weight models, specialized chips, and local deployments are set to drive prices down. This article explores five key factors that will make frontier AI models more affordable.

Pudu Robotics announces the first full-scenario robot-serviced hotel on West Artificial Island, part of the Shenzhen-Zhongshan Link. Robots will handle all hospitality roles including reception, cleaning, and food service.

A meticulously curated, annotated library of over 443 resources for AI agent evaluation, including papers, blog posts, talks, and tools, maintained by BenchFlow with a focus on quality and verification. Built via recursive citation crawl, practitioner discovery, talk transcription, and adversarial audits, every entry is verified and explained.

Notion is shutting down its email app Notion Mail, built on the Skiff acquisition, because most users prefer using AI agents for email management. Users must export drafts by September 21, with HIPAA-covered organizations given until June 2026. The move marks the end of Skiff's influence at Notion.

A Claude Code skill that analyzes your website's visibility to AI search engines by inspecting raw HTML, and provides framework-specific fixes.

Your AI coworker, in Slack. Just tag @O. Discussion | Link

Altus Schools in San Diego invested $500,000 in two Ameca humanoid robots for an educational pilot. While officials are optimistic about AI’s potential, researchers question the evidence and point to risks, including technical glitches and safety concerns.

The author built SlimSnap, a tool that converts screen captures into structured JSON for feeding to AI coding agents. Compared to pasting screenshots, the JSON representation reduces token usage by 37-85% and allows the agent to directly reference elements without reinterpreting pixels each turn. The article details token savings, structural advantages, skill integration, and the importance of an open schema.

As AI use in research grows, distinguishing between responsible use, misuse, and misconduct becomes crucial. This article proposes a framework based on intent and impact to help the research community respond appropriately and consistently.

Gartner forecasts that generative AI coding will become more expensive than the average global developer salary by 2028, driven by rising token consumption and consumption-based billing.

Supercomplete.ai is an AI tool that provides instant, personalized suggestions wherever you type—email, social media, customer support, marketing copy, messaging, and notes. It learns your style, responds in under 0.5s, and offers Free, Pro ($8.99/mo), and Lifetime ($59.99) plans.

Agent Zero is an open, dynamic, organic agentic framework. One Docker container ships a full Linux system with a desktop and a plugin hub that the agent can extend using Skills. It includes a real Linux desktop, a native browser with DOM annotations, document coworking, LibreOffice integration, 100+ community plugins, multi-agent cooperation, and host machine extension via the A0 CLI Connector.

Shotlist is an open-source tool that generates documentation screenshots (web pages, terminal windows, CLI sessions) from a single committed config file. It ensures reproducibility, integrates with CI, and supports multiple capture modes, keeping screenshots always up to date.

This paper presents a hierarchical control framework using model predictive control (MPC) and reinforcement learning (RL) for active roll control to manage lateral load transfer during autonomous racing of a wheeled quadruped. The framework integrates offline time-optimal raceline generation, an online MPC planner that actively minimizes the lateral Load Transfer Ratio (LTR), and a low-level, whole-body RL policy deployed directly onto the robot's 16 actuators. Physical experiments show that active roll control reduces mean LTR by up to 44%, improves fastest lap time by 8.7%, and boosts peak lateral acceleration by 21.3% to 1.98 m/s², maintaining robust high-speed stability.