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hese decisions were not about raising safety concerns or speaking out. Safety and research debates happen every day at OpenAI, often spirited and highly critical. We actively encourage these discussions and consider them essential to making the right decisions. We cannot do the work in front of us without a high degree of trust. We will continue to be extremely forgiving of our team making good-faith mistakes. We have not and do not terminate any of our employees for raising concerns. - We are a

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agents can perform tasks across days, sessions, and shifting responsibilities; they have dedicated identities, and are given their own @agents.company.com emails and persistent storage. However, Google says, they only have access to specifically-defined data and channels. Enterprise-dictated security, governance, and cost controls are built-in. “You give it objectives, not instructions,” Google Cloud CEO Thomas Kurian said in his keynote. “Work now starts in the prompt window.” The agent runs in

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misalignment exceeds 50% beyond 20 turns (interview); Tools degrade refusals: NVIDIA’s NeurIPS 2026 paper finds that tool access raises multimodal refusal failures by 17.7% on average and up to 68.7% relative, across Claude Opus 4.6/4.7, Gemini and Qwen3.5 (paper).Cause and fix: Tool outputs bury the original intent in context. Re-inserting the request before the final answer partially restores refusals; Open-weight safeguards:GLM-5.3 red-team: An Anthropic analysis reports simple attacks bypas

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Zero-copy access to Workday data: The new Workday Data Connect connector (Beta) lets Unity Catalog read Workday's shared Iceberg tables directly from cloud storage without ingestion pipelines or duplicate data; Governed and performant: Queries run on Databricks compute with Unity Catalog governance including catalog, schema, table-level permissions and lineage over live Workday HR and finance data; Unlock workforce and financial insights with Genie: Use the new Workday Data Connect connector (Be

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kebase lets you branch an entire database in under a second, regardless of its size. It uses copy-on-write, so branches share the parent branch data but only consume additional storage as they diverge. In addition, they can scale-to-zero, meaning idle branches incur no compute cost. This is important as you run several agents at the same time. Each branch is fully isolated, allowing an agent to apply migrations, run tests, and retire the branch when they’re done. In this article, I'll show you w

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ections. Try the Omniverse Real-Time Viewer skill. A digitally reconstructed room needs editable objects and accurate physical behavior before developers can test interactions. Chirag Majithia, from the Isaac engineering applications team at NVIDIA, directed Astra to turn stereo camera captures into an editable OpenUSD studio. The workflow combined PyCuSFM, FoundationStereo and nvblox for reconstruction, with user review guiding object selection and placement. Astra assembled generated and Blend

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he state of the world, watch an episode, and then go back and do some other fun things. Zoë, what is yours? Zoë Schiffer: Okay, I love that. Before we get into it, what is your average screen time, do you think? Related. It's related. Leah Feiger: Oh. I would say we're in the five, six hour range. Zoë Schiffer: OK. Last week I was at 14. Leah Feiger: Whoa. Zoë Schiffer: I was on my phone. I know. Isn't that terrifying? My mental health was horrific, and finally I was like, is this linked? I feel

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ies are continually improving. “We know that the cyberattackers are especially getting more sophisticated, so [enterprises] could use more sophisticated tools themselves,” said Chirag Shah, a professor at the University of Washington Information School. Moreover, Chinese vendor Z.ai’s open-weight models, GLM-5.2 and GLM-5.3, are viewed as direct competitors to Mythos. Therefore, with more bad actors having access to open-weight models, such as those from Z.ai, they are more likely to be dangerou

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侧，使地球清晰可见。 该工作流使用Blender进行资产准备，并使用Omniverse库进行渲染（ovrtx）、场景运行时（ovstage）和流式传输（ovstream）。该应用将3D模型和运行数据带入浏览器，Johns通过提示和修正来指导其开发。 试用Omniverse实时查看器技能。 数字化重建的房间需要可编辑的对象和准确的物理行为，开发者才能测试交互。来自NVIDIA Isaac工程应用团队的Chirag Majithia指导Astra将立体相机拍摄内容转化为可编辑的OpenUSD工作室。 该工作流结合了PyCuSFM、FoundationStereo和nvblox进行重建，并由用户审阅来指导对象选择和放置。Astra组装了生成资产和Blender创作的资产，并使用USD Content Agents配置对象在仿真中的移动和交互方式。Isaac Sim测试指导了门和抽屉的碰撞与接触修订。该工作室将捕获的几何结构与交互测试连接起来，使间隙和对象行为更易于检查。 探索USD Content Agents。 有仿真想法？探索NVIDIA Omniverse库，开始用AI智能体进行构建。

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predict COVID-19 oxygen needs from chest X-rays plus EMR data without moving any patient data between them. Only the model weights traveled, and the federated model gained, on average, 16% in AUC and 38% in generalizability over single-site models. The mechanics are less exotic than they sound: each site trains locally, a coordinator averages the model weights rather than the data (the classic federated-averaging recipe), and secure aggregation and differential privacy keep any one site's recor

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procedures that enable this work, is itself an essential safety mechanism.” They said that their firing represents a broader shift in the culture of OpenAI, one that used to encourage workers to “raise safety concerns and disagree openly.” They said employees are now “unclear on where they stand” when behavior that was allegedly normal a month ago is now suddenly grounds for dismissal. “Given the significant safety concerns surrounding the development of AI, employees must not be left working i

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s all at once instead of row by row; [Cloud sessions] Improved the setup script box in the cloud environment form: it starts taller, grows with your script, and can be resized by dragging; [Claude Tag] Changed the settings confirmation cards Claude posts in a Slack channel to stay open for 30 minutes instead of 10; [Claude Tag] Changed Claude's notice that a channel shared across Enterprise Grid workspaces uses organization defaults to post only when someone mentions Claude, at most once a month

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loits can now be developed in minutes , projects that can find and address vulnerabilities faster can better secure their software against attackers who are racing to find and leverage these same weaknesses. We will continue to manually disclose human-verified vulnerability reports via our existing coordinated vulnerability disclosure (CVD) process , especially for projects without the resourcing to triage reports themselves. But we are now making available an optional fast-track for those who w

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are, there exists a problem. And that problem is cost. Running these models continuously can cost an upwards of 6k per day! This makes these models completely unusable for the average consumer. The goal So the question I asked is how far can these models be pushed? What if you had an agent search the internet for every optimization, every speed up, every cost savings, and definitely every dirty hack that sacrificed quality for speed. And then what if you put it all together into a single custom

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the base setup works, adding new capabilities can still become a serious amount of work. This is not a polished enterprise platform yet. It is an internal stack that gives us leverage because we are willing to maintain it. The Architecture Can Grow Gradually The architecture now includes private vaults connected to GitHub, GBrain from Gary Tan, vector search, keyword search, translation, direct file reads, and separate agents for different jobs. Telegram is one interface. Obsidian is another. W

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er's perspective. From an attacker's perspective, they are also places to influence behavior. Human approval is often treated as the safety boundary. Sometimes it is. But it is a fragile boundary when the workflow trains people to approve repeatedly. If an agent asks for permission once, a developer may read carefully. If it asks ten times during a routine task, the developer may start clicking through. If the agent runs in a broad accept mode, the boundary may disappear entirely. In the talk, I

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s from the primary compute of Lakebase Postgres to distributed engines like Spark; By allowing Spark to build valid Postgres pages and indexes in parallel and write directly to storage, Lakebase Postgres achieves data loads up to 147x faster without consuming live application resources; The primary node of Lakebase Postgres publishes the final manifest via a compact WAL record, ensuring that live OLTP queries remain unaffected and high performance is maintained Operational databases like Postgre

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N often becomes one huge line. That is painful for agents to edit. We moved toward JSONL so each example lives on its own line and a coding agent can make precise updates without dragging an enormous file into context. The bigger issue was rollout. I had to explain this approach to multiple globally distributed teams with very little time. A meeting was not going to do it. A one-hour presentation about testing was not going to make every team produce consistent datasets, CI integration, environm

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ds before they step into a doctor’s office? A study led by researchers at Google and Beth Israel Deaconess Medical Center (BIDMC) and published in The Lancet today, offers an encouraging first look. As Google’s first-ever publication in the main journal of The Lancet, this research marks a significant milestone. In a real-world clinical study at BIDMC’s ambulatory primary care clinic, 98 patients consulted AMIE, our research diagnostic AI chatbot, ahead of urgent care visits. Supervising physici

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hich brings frontier Claude models, on-site engineers, and our threat research to those trusted providers. Its founding partners are Accenture, Booz Allen, CrowdStrike, Deloitte, Dragos, Hitachi, Insane Cyber, Nozomi Networks, Palo Alto Networks, PwC, and Rockwell Automation. These organizations represent the providers that operators rely on to secure these systems: the consulting and advanced technology companies that run security programs, the security companies that guard the business and ind

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