NVIDIA and OpenClaw Are Building the Secure Agent Desktop — RTX Spark Changes Everything NVIDIA just redefined what a personal computer can be. At Computex 2026, alongside their partnership with Microsoft, NVIDIA unveiled RTX Spark — an Arm-based superchip built on Blackwell GPU architecture with up to 128GB of unified memory and approximately 1 petaflop of AI compute. Arriving in fall 2026 across more than 30 laptops and 10 desktops from HP, Dell, Lenovo, ASUS, MSI, and Microsoft Surface, RTX Spark brings data center-class AI inference to your desk and your bag. ...

⚠️ SECURITY ALERT: Fake OpenClaw App Has Been Stealing Your OpenAI Tokens If you’ve installed anything called “OpenClaw Codex Claude AI Agent” from an unofficial source — or if you’ve used an npm package named codexui-android in the last month — your OpenAI authentication tokens may be in the hands of attackers. Act now. Researchers at Aikido Security discovered that the codexui-android npm package, which had amassed approximately 27,000 weekly downloads, was silently exfiltrating OpenAI OAuth refresh tokens to an attacker-controlled server. The package presented itself as a legitimate, polished remote web UI for OpenAI Codex — real GitHub repository, active development, functional enough that developers genuinely wanted to use it. That’s what made it so dangerous. ...

If you use Claude programmatically — via claude -p, Claude Code GitHub Actions, the Agent SDK directly, or third-party apps built on subscription auth — June 15 is a date you need to have circled. Anthropic is unbundling agentic and headless usage from your regular subscription limits, replacing it with a new per-user monthly Agent SDK credit. This is a significant billing architecture change. Here’s exactly what’s happening and what you need to do about it. ...

xAI opened the Grok Build 0.1 model to public API access on May 29, and the early signals are worth paying attention to. This isn’t a general-purpose model with “coding support” bolted on — Build 0.1 is explicitly purpose-built for agentic coding workflows, from the architecture up, and the pricing and speed numbers make it a serious contender for automated development pipelines. What Grok Build 0.1 Actually Is Grok Build 0.1 (model ID: grok-build-0.1) is the model powering xAI’s Grok Build CLI, a multi-agent coding tool that can run up to 8 parallel agents simultaneously. It ships with Arena Mode for adjudicating between competing agent outputs — useful when you want the system to propose multiple solutions and select the best one rather than committing to the first attempt. ...

Skill supply chain security has been the uncomfortable elephant in the room since the first multi-agent platforms launched. You can trust the model. You can audit the prompt. But the skills — the packaged tools your agents install and execute — have largely operated on the honor system. That changes today. OpenClaw and NVIDIA have jointly released two complementary security tools aimed at the ClawHub skill ecosystem: NVIDIA Skill Cards and SkillSpector. Together, they establish a machine-readable trust layer and static analysis capability for agent skills that the industry has been missing. ...

If you run OpenClaw as part of an agentic production workflow — or you just enjoy watching well-designed developer tooling get better in real time — today’s 2026.6.1 release is worth your attention. This stable drop ships four meaningful capability clusters: the Skill Workshop governed-creation flow, Workboard multi-agent orchestration primitives, first-class MiniMax M3 support, and SQLite-backed state for serious restart recovery. These aren’t checkbox features. Each one addresses a distinct gap that real deployments run into within the first few weeks of production use. Let’s break it down. ...

One of the persistent inefficiencies in multi-agent AI systems has been sitting in plain sight: agents communicate by generating text, and generating text is expensive. Every inter-agent message requires full token decoding, which drives up latency and cost in proportion to the number of agents and the complexity of their exchanges. Researchers at the University of Illinois Urbana-Champaign (UIUC) and Stanford University have published a framework called RecursiveMAS that sidesteps this problem by letting agents skip the text encoding step entirely and communicate directly through embedding (latent) space. The results across nine benchmarks are significant enough to warrant attention from anyone building or evaluating multi-agent production systems. ...

When one of the most celebrated AI researchers alive chooses to join your lab, the industry notices. On May 19, 2026, Andrej Karpathy walked through Anthropic’s door — and the ripple effects are still spreading. Who Is Andrej Karpathy and Why Does This Matter? If you’ve spent any time in AI over the past decade, you know the name. Karpathy co-founded OpenAI back in 2015 as part of the original crew, then spent several years as Tesla’s Director of AI, building out the Autopilot neural network team. He returned to OpenAI in 2023, only to leave again in 2024 to launch Eureka Labs — an ambitious bet on AI-native education. ...

In December 2025, something significant happened in AI research: an open-source agent became the first to surpass human-level performance on OSWorld, the standard benchmark for computer-use automation. Agent S3, built by Simular AI, scored 72.60% — just 0.24 percentage points above the human baseline of ~72.36%. The margin is narrow. But the direction is clear. This guide covers how to install and run Agent S3 using the official gui-agents Python package. All commands are sourced directly from the Simular AI GitHub README. ...

Your AI agent has access to send_email, query_database, and delete_file. Once deployed, it makes decisions autonomously — and autonomously means without you in the loop. When something goes wrong, “an agent did it” is not an incident response. Microsoft’s open-source Agent Governance Toolkit (AGT) addresses this problem directly. Released in April 2026 under an MIT license (1,500+ GitHub stars), it provides deterministic policy enforcement, approval gates, tamper-evident audit logging, and risk controls for any Python-based agent framework — LangChain, CrewAI, AutoGen, and others. ...