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Muse is out today. An agent like this is a different kind of system to design. It reads your mail, spends your money, runs your code. Getting that right took real care, and our technical post walks through exactly how. We designed security in.

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Introducing Muse, a personal agent that gets things done for you, powered by Muse Spark 1.3. Get an inside look at how we built Muse and what it can do for you: https://t.co/qzFgoNAUSV https://t.co/7skLRgWCaI

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ich add a new synchronization boundary and, potentially, more pipeline bubbles to be recovered by the megakernel. Getting Started Learn more about North Mini Code — Cohere’s first agentic coding model — and explore the code behind megakernels on GitHub. Acknowledgements We would like to thank Bharat Venkitesh for providing technical support throughout this work. We thank Stephen Jones, Brian Pharris, Vinod Grover, Frederic Bastien, Hua Huang and Disha Mehra from Nvidia for various insightful dis

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es for models to work with and the download of outputs. Both are available today in beta. Shell and Files join our growing list of server tools, enabling you to create server-side agentic behaviors you can swap across models. For example, you can ask any model to search the web, write a script that turns the results into a chart, and run it entirely with server-side compute. Try it in the chatroom by turning on the shell tool, and read the shell, containers, and Files API guides for the API deta

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es for models to work with and the download of outputs. Both are available today in beta. Shell and Files join our growing list of server tools, enabling you to create server-side agentic behaviors you can swap across models. For example, you can ask any model to search the web, write a script that turns the results into a chart, and run it entirely with server-side compute. Try it in the chatroom by turning on the shell tool, and read the shell, containers, and Files API guides for the API deta

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oes not clear the acceptance gate. Critique adds an independent perspective for tasks where review is more useful than another unaided attempt. In offline evaluations across three agentic coding benchmarks, HydraFusion consistently demonstrated frontier-level quality with substantial estimated cost savings. On TerminalBench 2.1, it improved verified task quality by 4.9 percentage points at 67% lower estimated cost compared with Claude Opus 5. Let’s dive into the approach, the results, and the be

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eds or shop around for a better price. A lot of this work is worth doing, but hard to justify doing by hand. We wanted to see how much of it Grok Bot could take on. Grok Bot makes agents much easier to set up and use. You tell or show a Bot what you want it to do, give it access to the right tools, and let it execute without designing the workflow step by step. For procurement, we created a Bot we affectionately named Haggle Bot . It reads our vendor spend alongside contracts and usage data, the

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Add memory to the agent you already use funes is a single binary. Its default inference backend has no ML runtime dependency, and embedding and reranking happen on your machine . Install it: Then add it to an agent: funes add claude or: codex, pi, hermes That one add command builds the first index, gives the agent recall and get tools, and installs the automation that indexes each completed turn. Indexing is incremental, with new runs adding new turns rather than embedding the whole history agai

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When we started designing Grok Bot, one of the central questions was how the interface should shape the relationship between user and agent. Most AI interfaces are organized around a chat session the user operates. Each session begins with setup, unfolds as the user looks on, and ends when the conversation stops. We wanted to design for an agent that persists beyond any one session and can carry responsibility on its own. That meant reconsidering some of the basic objects and signals of the inte

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Announcements You can safely connect your credit card and purchase things with hosted browser agents. Connect Link once. When the agent reaches a checkout it asks to pay, your phone buzzes, you approve, and Link hands it a virtual card good for exactly that purchase. The agent fills the form and pays. The card is gone after. Your real card number never leaves Link. How it works Connect Link once, under Integrations; The agent asks to pay. Amount, merchant, and what it is buying; You approve in t

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Table of Contents Control where agents execute; Workers connect your infrastructure to the Cursor agent loop; Cloud agents adapt to your infrastructure; Pools scale with demand and serve any repository; Workers run across supported sandbox providers; Agents control browsers on Linux and Mac; Bring cloud agents into your environment Cursor cloud agents can execute on dynamically scheduled pools of machines inside your network. You manage the underlying infrastructure, while agents are still start

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nd Program offerings bring together our most advanced cyber model, Gemini 3.8 Flash Cyber , with our CodeMender harness, to help defenders find, verify, and fix vulnerabilities at agentic scale. Spotting weaknesses creates awareness and fear; autonomously finding and fixing vulnerabilities delivers security. CodeMender with Gemini 3.8 Flash Cyber delivers the specialized reasoning to write and validate code fixes, at a fraction of the operating cost of traditional frontier models. Instead of tak

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ind Program offerings bring together our most advanced cyber model, Gemini 3.8 Flash Cyber, with our CodeMender harness, to help defenders find, verify, and fix vulnerabilities at agentic scale. Spotting weaknesses creates awareness and fear; autonomously finding and fixing vulnerabilities delivers security. CodeMender with Gemini 3.8 Flash Cyber delivers the specialized reasoning to write and validate code fixes, at a fraction of the operating cost of traditional frontier models. Instead of tak

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realistic or cost-effective. The Rundown: 56% of consumers can spot AI-generated content. 40% say it's eroding their trust in your brand. To solve this, Corinthia Hotels built a 7-agent AI ecosystem to execute personalization across 5 personas, 14 lifestyle stages, over 75 behavioural signals, and 6,000+ content variants without sacrificing brand standards. Join Optimizely’s upcoming webinar on Oct. 7th to: Hear how they hit a 100% brand approval rate, achieved 10x productivity, and saved 150+ h

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hatsApp. At the same time, businesses with conventional phone numbers often have years of call flows already built on Twilio. Both groups kept asking us the same question: can our agent answer there, without rebuilding our telephony around a SIP trunk? Today the answer is yes. We're launching LiveKit Connectors, a direct bridge between LiveKit rooms and the platforms people already call — Twilio Programmable Voice and WhatsApp Business Calling to start, with more on the way. A connector brings t

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ai and ml Making installation easier and putting a new wrapper on the interface while leaving most of the security to users is a recipe for more trouble with the popular agent harness MOST POPULAR Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Intel optimizes IPv6 networking into nothingness, say users; When you just need to build a tiny desktop app: TinyJS; No shame in the Domain Name game: DNS is doomed, literally OpenC

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ew pricing anytime in your Ollama account settings. Every plan includes: High-performance access to the latest open models, at published per-token rates; Works with popular coding agents, including Claude Code and Codex, plus an API for your own tools; Monthly usage credits included with every plan; Zero data retention, hosted in the US and Europe; No service fees or hidden limits New plans Ollama’s new Pro, Max, and Team plans include a pool of usage credits that refreshes every month. Usage is

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Prepare your wallets! Grok Bot can now buy things. Excited to bring more superpowers to @bot to help you do all the things on your todo list (and on an personal note very full circle moment for me going from agentic commerce @stripe -- building payments into Grok Bot! very fun working with the Stripe team on this.)

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We’re opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers. MHS enables AI agents to operate multiple lab and manufacturing instruments, such as microscopes, liquid handlers, and robotic arms, in parallel, and perform intricate tasks ranging from routine drug discovery experiments to laser calibration on a quantum computer. The development o

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stack, context-rich apps that combine live Databricks warehouse data with information created and updated through the app. When an app built with Replit is ready to deploy, Replit Agent automatically provisions its Lakebase database, eliminating the need for manual setup. Automated Preview Deploys: Test your apps before they go live. Replit automatically creates a separate preview environment that keeps test data isolated from live business data in Databricks, giving teams a safe place to build,

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