#Agent

AISafeWorld emerged from stealth this week with $12.2 million in seed funding for its robot safety simulation platform. The software lets teams build test scenarios from past incidents, safety standards, and robot logs, then runs robots through thousands of variations with reactive human motion. SafeWorld said it supports robot arms, humanoids, and mobile robots, with customers in industrial, manufacturing, logistics, and construction.

AINVIDIA developers are pairing frontier AI models, including GPT-6 Astra and Claude Fable 5, with Omniverse libraries to turn simulation ideas into working applications. Examples include a humanoid warehouse simulator, an autonomous-driving testing workflow, and sensor-matching digital twins. The projects are guided through natural-language instructions and reviewed by developers.

AIDevelopers are pairing frontier AI models with NVIDIA Omniverse libraries to turn simulation ideas into working applications, from humanoid warehouse simulators to autonomous-driving test environments. In the examples, developers direct AI agents through natural-language instructions and review results, while Omniverse provides GPU-accelerated physics, rendering and sensor simulation. One experiment reported a simulated Unitree G1 humanoid clearing a hurdle in 64 of 100 trials.

AI…yourself! I made an AI homepage that's generated everyday based on sites I read and replaces my 'new tab' page in Chrome

AINVIDIA's Omniverse libraries, guided by SimReady Foundation specifications and agentic NVIDIA skills, provide a structured workflow for converting CAD assets to OpenUSD for robotics simulation. The workflow covers configuring and validating materials, collision geometry, joints, and other physics properties before testing robot behavior.

AIThese end up being at the edge of current capabilities and domain specific. We use that checklist to filter training data automatically.

AIOur most powerful AI video editing tool, inside Claude. Upload a reference and create editable motion graphics, product launch videos, or aura-farming edits. Available now in Claude via Higgsfield MCP.

AIAnthropic has made Claude Dashboards available on all paid plans and Claude Motion on Team and Enterprise plans. Claude can query a data platform or CRM tool to build interactive dashboards or short animations, with everything generated as code.

AIManus, the developer of the Manus AI agent, has raised more than $500 million led by Boyu Capital, with Tencent also investing. Bloomberg had reported a $4 billion valuation, roughly double Meta's reported offer last December, which Chinese regulators blocked in April. The funding comes days after Manus 2.0 added a new harness, Cloud Computer, and Cue, which lets agents use email accounts and digital wallets.

AICoreWeave is positioning its AI cloud around an open development loop, connecting training, inference and evaluation through its newly announced CoreWeave Forge platform. Chief marketing officer Jean English said the company wants production learnings to improve models and agents and that the loop should work across different models, frameworks and clouds. She argued that competitive differentiation extends beyond GPUs to partner tooling, infrastructure and APIs.

AIMy entire timeline is filled with people making cool little videos with Opus 5.5, this makes it _way_ easier to do.

AIIn the Claude Platform, it's now $0.10 per million tokens (input is $2, output is $10). This means Sonnet 5.5 now runs ~20% cheaper on most agentic work. (API only, no change to Claude Code usage limits.)

AIClaude Code v2.1.295 adds onFailure: "block" for command and HTTP hooks, so a hook that cannot start, times out, or exits unexpectedly blocks the action. The release also adds an optional models list for Claude apps gateway upstreams, plus upstream_request_id in the inference audit event, and fixes a range of MCP, plugin, and terminal issues.

AICocktails, delicious food, and conversation with the people shipping agents. Wed Oct 14 · 6-9pm · LA RSVP:

AIArtificial Analysis added trusted-access models to its Cyber Index, and GPT-6 Sol (Daybreak Blue, max) now ranks first. The model is available only through OpenAI's Daybreak program and records no safety blocks across the Index. Its overall score is 32 points higher than the publicly available GPT-6 Sol (max), at a cost of $1.77 per task versus $11.67 for Grok 4.7 (xhigh).

AIAnthropic has updated Claude's usage policy for the first time in over a year, banning sustained and needless abusive or cruel behavior toward Claude. The company says ordinary frustration, pushback, dark creative themes, and model testing are not covered, and that the rule applies only in extreme cases. Violations can lead to warnings, throttling, restriction, suspension, or termination of access.

AIWhen an animation needs finishing touches, open it in your video editor. See the full list of supported tools:

AIAsk Claude to turn your data into live dashboards and your ideas into animated explainers.

AIOpenAI's Codex 0.162.0 release adds tools for creating and listing managed Git worktrees from trusted local projects when the worktrees feature is enabled. The update also lets users pin tasks in the agent Command Center, copy transcript blocks with /copy, and make URLs clickable in approval headers, questions, and warnings, along with several Linux and Windows sandbox fixes.

AIGoogle's recently announced Gemini Agent for Gemini Business is reportedly set to offer Gemini Argon 4, Gemini Flash 3.8, Claude Opus 5, and Claude Sonnet 5.5. If accurate, it would mark the first time Claude models appear on Google's platform alongside Google's own models, which the post frames as a way for Google to compete for enterprise customers.

AILeapfrog, a small team doing high-volume AI visual and production work for fashion and brand clients, is building a "one brain" system that makes company knowledge and client context searchable through natural-language agents. The starter stack described is OpenClaw in a sandbox, a GitHub repository, Obsidian on the local machine, and Telegram as the access point. The system's research structure had roughly 1,200 files at the time of the talk.

AITessl's talk at AI Native DevCon London argues that agent skills, which can be markdown files with instructions and bundled material, act as supply chain components that can shape agent behavior. The author says reading SKILL.md once is insufficient because risks can sit in supporting files, updates, and workspace trust settings. He identifies the danger as the combination of private context, untrusted content, and external communication, and cites research scanning roughly 4,000 public skills for issues including malware-like behavior.

AICoding agents are great because of their harnesses, but they aren't built for creative work. Creative work needs its own harness. Voyager looks great. It's an open harness for video, graphics, and games. The agent works with your files and drives apps like Blender, DaVinci Resolve, and Unity right on your desktop. Bring Opus, Astra, or DeepSeek. Excited to try this one.

AIMozilla.ai's cq project proposes a shared knowledge layer where AI agents capture lessons from non-obvious fixes as structured knowledge units that other agents can later query. The default setup is local-first, using a local SQLite database so nothing leaves the machine, with an option to connect to a remote team server that adds review.

AIJohn Groetzinger, writing in a personal capacity rather than for Cisco, argues that enterprise skills need packaging, evaluation, syncing, and distribution rather than scattered markdown files. He describes using skills to make cheaper models viable, converting curated TAC knowledge-base articles into maintained skills, and rolling out an eval framework across teams. He also describes syncing a repository README to Confluence with a deterministic script.

AIYour agent has a QA team now. Try LiveKit Simulations free through October:

AIExplore the full results: See Harvey's commentary on the evaluation and human expert preferences:

AIAmazon Bedrock AgentCore payments lets AI agents pay for model inference one request at a time, using x402 with USDC on the Base network. Incarna used the service to connect its agents to BlockRun, a pay-as-you-go router serving more than 90 models from more than 15 providers. Spending limits are enforced at the infrastructure layer, outside the model.

AI…on a Mac. It reads project files, operates creative apps, and outputs editable results. > Video edits, motion graphics, and color grading in the apps creators already use. > 3D scenes in Blender and game prototypes in Unity. > Built-in skills, custom skills, and a memory that learns how each user works.

AIThe NVIDIA KGMON team placed second in the KDD Cup 2026 Data Agents competition with a system built around a smaller, clearer, and easier-to-verify agent harness. The competition required agents to answer natural-language questions over heterogeneous sources, including databases, CSV and JSON files, prose documents, PDFs, and briefing videos.

AIWould be cool to see what interesting integrations we could support

AITessl argues AI code review is slow because generated code outpaces trust, and proposes executable specs that let agents check preview environments against product intent. Its spec reviewer splits work between a planner agent that extracts requirements and parallel verifier agents that test each one against the code and base branch.

AIGoogle announced a unified Gemini agent that can plan and complete tasks on a user's behalf from a single interface, starting with businesses. The agent can connect to systems such as Google Workspace, Microsoft 365, Slack, Jira, and any MCP server, and it writes audit trails attributed to itself. Google said consumers will get the agent later.

AINVIDIA Dynamo uses a unified session-level identifier to make its inference stack aware of agent sessions, subagents, and their KV cache across turns and tool calls. On SWE-bench, two TP4 MiniMax-M2 replicas on one 8xH100 node gained roughly 12-16% throughput from program-aware scheduling over KV-aware routing alone. The post also describes experimental shared-pool indexing and a proposed KvHint interface for session-aware cache policies in vLLM and SGLang.

Why it matters: The post explains how session identifiers let an inference stack track agent working sets, with measured throughput gains on SWE-bench and agentic RL rollouts.

AI…any MCP server. Every tool call passes through our Agent Gateway to enforce policy and block data leaks.