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The piece is a vendor-authored monthly recap from Google Cloud, so its claims about Gemini 4 Argon's long-context and multi-step abilities and the Anthropic-managed Claude deployment option are company statements, not independent benchmarks. For enterprise readers, the substantive change is deployment choice: Claude can now run under an Anthropic-managed option alongside Google's own, which affects where teams consolidate AI workloads, procurement, and governance. The text also repeats several paragraphs and cuts off mid-sentence, so verify specifics against Google's primary release notes before relying on them.
Surse care acoperăGoogle Cloud Blog, Latent Space, Google, SiliconANGLE
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What Google Cloud announced in AI this month

Google Cloud Blog49 min de cititArticolul și perspectiva sunt în engleză.

Editor’s note: Want to keep up with the latest from Google Cloud? Check back here for a monthly recap of our latest updates, announcements, resources, events, learning opportunities, and more. This October, we took massive leaps forward in delivering flexible, open, and powerful enterprise AI solutions. From bringing Gemini 4 Argon to Google Cloud to expanding choice and flexibility, we’re giving organizations the tools they need to bring complex, multi-agent AI workflows into production safely. Here’s a quick look at the major milestones, expert insights, and practical developer guides to read through and save.  Top announcements  Gemini 4 Argon available on Google Cloud, built to help solve your business’ hardest problems: We trained Argon to work with both depth and precision, which allows it to maintain context across long, multi-step tasks which are reinforced with strong domain expertise along the way. Whether your team is running complex software builds, handling detailed financial and legal work, or deploying cybersecurity tools like CodeMender, Argon helps your teams maintain focus from start to finish.  Expanding Claude availability and deployment choice on Google Cloud: We announced the general availability of an Anthropic-managed deployment option for Claude Models on Google Cloud. This gives teams more choice in how they run their models, helping them consolidate AI workloads on Google Cloud alongside our existingGoogle-managed deployment option.  Google Cloud expands model choice and flexibility, bringing OpenAI models to customers: Google Cloud is now the only hyperscale cloud provider offering access to all three leading closed source LLMs, alongside more than 200 first-party, third-party, and open models on a unified enterprise AI platform.  Claude Opus 5.5 and Claude Sonnet 5.5 are now available in Google Antigravity: In keeping with Google Cloud's commitment to an open ecosystem and to give developers the right model for every job, Claude Opus 5.5 and Claude Sonnet 5.5 are now available in Google Antigravity for Google Cloud customers. Claude Opus 5.5 is built for complex work while Claude Sonnet 5.5 is a faster, lower-cost complement. Introducing Gemini for government services: Today we're bringing the Gemini agent to public service with Gemini for government services in preview, part of our new suite of purpose-built industry solutions. It adds skills built around government work, connections to the systems agencies already run, and specialized partner agents, with governance running underneath it all.  Gemini Robotics Embodied Reasoning 2 is now available on Google Cloud: For the first time, organizations can pair Google DeepMind’s latest embodied reasoning model for robotics with the enterprise-grade security, multi-agent orchestration, and end-to-end lifecycle management of Google Cloud — making it easier to simulate, evaluate, and deploy safe, adaptive physical AI at scale. Thought leadership (editor’s pick)  A new gear: How startups are advancing robotics with Google AI: We marked a major milestone in physical AI with the launch of Gemini Robotics Embodied Reasoning 2 (ER 2) on the Gemini platform and AI Studio, bringing Google DeepMind’s frontier multimodal reasoning and long-horizon task planning for robotics to Google Cloud. Read more from Darren Mowry, VP of Global Startups and Investor Ecosystem at Google, about the exciting work these startups are undertaking.  News you can use Developer’s guide to implementing MCP apps in Gemini: Enterprise assistants still respond mostly in text. However, that can break down for visual, multi-step work, where every adjustment costs another slow chat turn. This guide takes you through implementation in Gemini.  Four evaluation engineering lessons learned from building agent plugins: Here are four eval lessons we learned from building the new plugin that you can apply to your own builds.  Who judges the judge? Three helpful ways to audit your LLM evaluators: In this post, we explore what’s holding enterprises back from strong evals, and share an easy three-pillar method you can use to improve your quality.  Stay tuned for monthly updates on Google Cloud’s AI announcements, news, and best practices. For a deeper dive into the latest from Google Cloud customers, read our monthly recap, Cool stuff customers built. aside_block <ListValue: [StructValue([('title', '$300 in free credit to try Google Cloud AI and ML'), ('body', <wagtail.rich_text.RichText object at 0x7fc6f7b3e390>), ('btn_text', 'Start building for free'), ('href', 'http://console.cloud.google.com/freetrial?redirectPath=/vertex-ai/'), ('image', None)])]> September This September, we brought you new how-to guides, model updates, and security innovations to help you find-and-fix. From Gemini 3.8 Live with Live Avatar to Mantis, there’s no shortage of new ways to apply AI to your work.  Notably, we announced Gemini 4 Argon, our next era of frontier intelligence. Gemini 4 A

Editor’s note: Want to keep up with the latest from Google Cloud? Check back here for a monthly recap of our latest updates, announcements, resources, events, learning opportunities, and more. This October, we took massive leaps forward in delivering flexible, open, and powerful enterprise AI solutions. From bringing Gemini 4 Argon to Google Cloud to expanding choice and flexibility, we’re giving organizations the tools they need to bring complex, multi-agent AI workflows into production safely. Here’s a quick look at the major milestones, expert insights, and practical developer guides to read through and save. Gemini 4 Argon available on Google Cloud, built to help solve your business’ hardest problems: We trained Argon to work with both depth and precision, which allows it to maintain context across long, multi-step tasks which are reinforced with strong domain expertise along the way. Whether your team is running complex software builds, handling detailed financial and legal work, or deploying cybersecurity tools like CodeMender, Argon helps your teams maintain focus from start to finish. Gemini 4 Argon available on Google Cloud, built to help solve your business’ hardest problems: We trained Argon to work with both depth and precision, which allows it to maintain context…

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