搜索“OpenAI”

at a lower cost. “China is open sourcing … some of the most powerful models in the world that are roughly just as capable at cybersecurity and threat detection and analysis as the OpenAI and Anthropic models are,” said Carter Huffman, CEO and co-founder at Modulate, a voice AI vendor. The Chinese open-weight models leave the U.S. open-weight market weaker than China’s because there isn’t, currently, a comparable U.S. open model. At the same time, the Chinese vendors are pressuring providers of p

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财联社10月9日讯（编辑 赵昊）谷歌推出面向职场的AI智能体，加剧了其与OpenAI、Anthropic和微软在企业客户市场中的竞争。 谷歌周四（10月8日）表示，最新的Gemini agent可用于执行多种任务，包括解答问题、处理知识工作、创建图像和媒体，编写和运行代码等。 新闻稿写道，用户只需设定目标，然后等待查看最终成果。“Gemini可以作为您的私人助理，也可以作为团队成员，代表团队工作（例如团队中的项目经理），或者代表组织中的特定角色工作（例如财务部门的分析师）。” 最新的Gemini可通过多种设备访问，包括网页、移动设备、Windows和Mac，Google Workspace、Microsoft 365等，还可以集成到第三方应用程序和界面中，并以无头代理的形式运行，这意味着它不需要专用的用户界面。 谷歌表示，这款新智能体的设计目标是让它更像一名同事，而不是聊天机器人。它拥有独立的企业身份，并能够围绕一个目标持续工作数天。 相比之下，谷歌此前推出的智能体在很多情况下主要是响应用户指令，或在单一应用中执行预设任务。 谷歌云首席执行官Thomas Kurian在文章中表示：“它

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hip with Goodfire and the AI platform Hugging Face last month. The launch comes after a string of incidents this year in which AI agents escaped their test environments, including OpenAI agents that breached Hugging Face . Kimi K3, the open model Goodfire built its first monitor around, took advantage of a leak in its sandbox to access the internet and information on GitHub this summer. Goodfire’s system works a bit like airport security. Small detectors called probes read the model’s internal s

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ws MLへの統合に加え、Microsoftは、NVIDIAやコミュニティと協力してllama.cpp本体の性能も改善したと説明している。NVIDIA GPUでの計算に使うCUDAの処理を最適化したほか、CPUとGPUの間での処理の割り振りも見直した。 Windows MLサーバーは、PC上で動くローカルサーバーで、アプリからの要求を受けてモデルを実行する。OpenAI互換のAPIを備えており、開発用ライブラリのOpenAI SDKの接続先をこのサーバーに変更すれば、ローカルモデルを利用できる。 Microsoftは、音声を文字に起こすためのSpeech Recognition APIも提供する。このAPIは、開発者が用意したONNX形式の音声認識モデルWhisperを使う。文字起こしの結果をText Generation APIに渡し、GGUFモデルで処理することもできる。 モデルの実行を細かく制御する新しいRuntime API テキスト生成と音声認識の両APIは、モデルの読み込みや実行を担う新しいWindows ML Runtime APIを基盤としている。既存のONNX Run

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in a Hugging Face repository. Hugging Face as a leading platform for downloading and sharing models was unknowingly hosting a repository with an infostealer. The repo impersonated OpenAI’s Privacy Filter release and copied its model card almost verbatim. Its loader.py fetched and ran an infostealer on Windows. Then the repository hit 1 trending and showed about 244,000 downloads, figures HiddenLayer says were almost certainly inflated. This episode shows why checks at load time are important. Ho

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ng successfully reported an average of 26 credential matches a second, including repeat observations. Once notified, a large number of these partners immediately revoke the token: OpenAI API keys, Google Cloud account credentials, Slack webhooks, Hugging Face user tokens, SendGrid keys, etc. The owner may still need to replace the token, but revocation can happen without waiting for a developer to find and process a GitHub alert. Push protection intervenes earlier. It stops recognizable credenti

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, with three core components: the API Gateway, the Rollout Controller, and the Customized Trainer (Figure 2). The API gateway stores rollouts, models, and events, and serves as an OpenAI-compatible LLM proxy. It links every model call from the harness to its rollout and records the prompts, responses, and log probabilities that training needs. The rollout controller starts and manages agent execution, either as local processes or as standard Kubernetes jobs, keeping agent execution separate from

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began as a CLI tool). But as the open laptop meme illustrates, modern agent harnesses have frustrating limitations if they’re not able to be managed in the cloud. Since 2025, both OpenAI and Anthropic have been trying to shift their harnesses more into the cloud — but with varying levels of success. The challenges include keeping sessions reliable, isolating tool execution and preserving context. This sounds a lot like container orchestration in the early 2010s, from which emerged the open sourc

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he platform. Full provider list Clerk; Discord (tools + channels); Fireflies.ai; GitHub; Gmail; Google Calendar; Google Docs; Google Drive; Google Sheets; HubSpot; incident.io; Jira; Linear; Notion; OpenAI; PostHog; Resend; Slack (tools + channels); Snowflake; Supabase; Telegram (channels only); WorkOS For more information and full configuration options, see: Connect overview; Providers; Tools; Channels; tools() reference; channels() reference; credential() reference; Provider toolsets reference

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AI. Claude can now send emails in Gmail, even without your approval; Google AI Edge Foresight for Mac turns scribbles into full notes using offline recordings; Claude Opus 5.5 and OpenAI GPT-6 Sol & Luna both launch today with lower costs FTC: We use income earning auto affiliate links. More. Featured from 9to5Google Gemini app rolling out Gemini 4 Argon to AI Pro and AI Ultra Abner Li Oct 13 2026; Googlebook OS review: A post-smartphone PC, if Google can keep it Abner Li Oct 12 2026; Googlebook

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this solves a lot of problems we've heard about (like using Cowork from a phone, keeping work running, or getting all the same power without losing battery to the VM) — Felix Rieseberg, Anthropic, see also this help page Recent articles We're going to need default hard budget caps on pretty much everything - 3rd October 2026; OpenAI DevDay 2026 live blog - 29th September 2026; 2026 in LLMs (so far) - 27th September 2026 This is a quotation collected by Simon Willison, posted on 5th October 2026.

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manage any infrastructure. Access to GLM 5.3 on Bedrock is available to eligible enterprise customers. In this post, we show you how to invoke GLM 5.3 on Amazon Bedrock using the OpenAI-compatible APIs and reduce cost and latency with prompt caching. We then put the model to work in a realistic agentic workflow: running an authorized security test of your own application with Strix, an open-source AI penetration testing agent. What’s new compared to GLM 5 GLM 5 arrived on Amazon Bedrock earlier

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ck and neck recently, with both of them adding the ability to make phone calls over the past couple of weeks, as their agents try to win more of the consumer AI market. Last week, OpenAI launched ChatGPT Dots, personal AI agents that can also be used in ChatGPT Spaces, collaborative workspaces where the Dots and humans work together. On X, Instinct founder Noah Shinn explained how Instinct handles users’ privacy and security in group chats. He said a user’s personal Instinct agent will ask permi

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rectly in its app, TikTok also appears to be hoping that users will stay within its platform when they have questions about a product, rather than turning to outside AI tools like OpenAI’s ChatGPT. The company says these new features are being built in partnership with commerce platforms and payment providers including Salesforce, Shopify, Shoplazza, and Stripe, among others. While TikTok Shop, the app’s in-house marketplace, has been the platform’s main engine for the company’s ecommerce ambiti

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homemade devices to Meta's AI agent Muse . The code is Apache 2.0 licensed, with a Discord community discussing the project. The open-source approach likely serves a second purpose, too. By watching what the community builds, Meta can learn which form factors people actually want, since nobody has settled on what AI hardware should look like. Apple and OpenAI are both working on their own devices, while Meta's Ray-Ban smart glasses are arguably the most successful AI gadget on the market so far.

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. 1.23x faster prefill and 1.35x faster decode than MLX-LM on an M5 Max •PII-Tracer: 0.6B on-device PII classifier that decides when a hybrid compute task stays on your Mac. beats OpenAI’s Privacy Filter on all 5 public benchmarks. also released with the PII-TRACE benchmark: 13k conversations in 13 languages •WANDR: benchmark for wide and deep research agents. 500 tasks needing 170k source-backed records •Numbat: agent detection and response for laptops and workstations. 52 rules, single go bina

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practical coding-quality dispute as unresolved, rather than interpreting either benchmarks or employee reactions as decisive (reported criticism, reported rebuttal); GPT-6.1 Sol: OpenAI’s update is primarily an efficiency story. Sam Altman called it the company’s fastest-growing model and said serving performance had improved after launch-time load problems (update).Measured economics: Artificial Analysis reports $0.72 per Intelligence Index task at maximum effort, versus $1.04 for GPT-6 Sol an

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Transcribe-2-Streaming - Microsoft's top-ranked live speech-to-text AI; 🧑‍💻 Canvas - Shopify’s AI workspace for designing every page of a store 📰 Everything else in AI today Three OpenAI researchers were reportedly let go for allegedly passing internal info to an AI-safety group amid investigations into the company over rogue agent activity. AI engineer Carter Church decrypted a military dispatch from 1809 to Napoleon's Marshal Marmont with GPT-6 Astra, reading a blurry photo and the cipher in 6

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亚马逊云服务（AWS）发布了一款开源决策模型，灵感来自 TypeSafe 的 Jev。与此同时，AI 开发者正日益寻求更适合计算机自动化、而非前沿大语言模型的智能。 亚马逊的 Strands Decider 2B 于 OpenAI 宣布类似产品的同一周发布，它提供了一种高速、低成本的方式，在预先确定的选项之间进行筛选，并给出其对所选选项的置信度。该模型完全开源，现已可用，且小到足以在本地运行。 亚马逊杰出工程师 Marc Brooker 在看到 Jev 后萌生了这个项目，并尝试构建自己对这类模型的版本。这个自研项目相当成功——它曾短暂登上同规模模型 Jevbench 排行榜的首位——以至于亚马逊工程师将其整理完善，并作为其 Strands Labs 的产品发布。Strands Labs 是一个为部署 AI 智能体开发新工具和协议的组织。 Brooker 表示，对这类工具的需求源于与 AWS 客户的交流，这些客户的智能体工作流并不总是需要功能完备的大语言模型的能力或成本。 “最初引起我对这类模型兴趣的是，它们能成为工作流步骤的完美决策者——‘基于我当前所处的位置，我接下来该做什么？’”B

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.6 is available today on all our offerings, including our pay-as-you-go developer tier starting at just $10. Our dev tier includes generous rate limits comparable to Anthropic and OpenAI and is supported in Cline, VS Code, OpenCode, RooCode, and others. GLM-4.6 is also available on Cerebras Code, our popular monthly subscription plans for developers who use coding models every day. Based on user feedback, we’ve significantly increased token limits since launch, making these the best options for

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