#产品更新

Introducing Claude Whiteboards, Claude Sheets, and Claude Data

Anthropic launched Claude Whiteboards and Claude Sheets in beta and made Claude Dashboards generally available as Claude Data, all on paid plans. Whiteboards lets teams brainstorm with Claude on a shared board and export to tools like Lucid, Miro, or Vani by Zoho; Sheets generates and edits spreadsheets with tabs, formulas, formatting, and drop-downs, and can export to .xlsx or CSV. Claude Data adds certified queries, data stories, live sharing, design systems, caching, and tracked changes, with partners including Amplitude, Mixpanel, Omni, PostHog, and Sigma.

0.169.0-alpha.9

This page is a GitHub Changelog entry titled "0.169.0-alpha.9," but the supplied material contains only site navigation and product menu text, with no details about the release itself.

Introducing Security Factory

Factory introduces Security Factory, now in Private Preview, which connects investigation, remediation, and verification into one continuous workflow to help engineering teams turn security findings into tested fixes. It combines Connectors for consolidating findings and context, Workstreams for parallel agent investigations, and Factory's coding workflows for developing and testing fixes. Organizations can configure agent autonomy levels, from presenting remediation plans for human approval to automatically creating pull requests and deploying fixes within approved policies.

Boxes

Amp introduces boxes: always-on computers starting at $18 per 30 days (billed by the minute) to which users can deploy the software they build with agents, with each application getting its own URL and no containers involved. Boxes can be shared with a workspace, can be turned on and off on a schedule, and each comes with its own runner so agents can operate directly on the box.

Build Safer n8n Agents and Workflows with Google Gemini 4 Carbon

Gemini 4 Carbon is now available in n8n, with Google reporting a 53.9% score on AutomationBench, 88.2% on SEC-bench Pro, and a 0.0% prompt injection success rate on Gray Swan's benchmark (down from 0.7% for Argon). It can be selected in the AI Agent node's Google Gemini Chat Model or the standalone Google Gemini node, using Gateway credits on n8n Cloud or your own API key when self-hosted. Pricing is $2 per million input tokens and $10 per million output tokens during the introductory period, rising to $4 and $20 after November 30, 2026.

Your Algorithm: Giving People More Ways to Personalize Facebook Recommendations

Meta introduced Your algorithm, a suite of AI-powered tools that gives Facebook users a single editable page showing the interests shaping their Feed and Reels, where they can add or remove preferences in natural language. The system uses large language models to generate an initial interest profile and Lately Summary, validate each edit, and perform a final reranking check against "Not Interested In" topics, with dedicated retrieval, filtering, and delivery mechanisms to make changes take effect responsively. Meta says it is exploring better handling of ambiguous input and additional entry points for shaping preferences.

Optimizing Muse Spark Open on TPU v7 with SGLang-TorchTPU

The post describes ExecuTorch's new WebGPU backend, which lets PyTorch models exported once to a .pte file via torch.export run in any WebGPU-enabled browser through a WebAssembly runtime, covering LLMs, vision-language, segmentation, depth, detection, super-resolution, speech-to-text and on-device LoRA/DiReFT fine-tuning. On an Apple M1 Pro in Chrome, WebGPU was 4–7× faster than ExecuTorch's Wasm/XNNPACK CPU path on prefill and 2–10× faster on decode, with all data staying on the device. The backend is still in early development, and the post links an ExecuTorch WebGPU Playground and Hugging Face repos with .pte files and export recipes.

Featured coverage of this story: 《ExecuTorch WebGPU: PyTorch Models on the GPU, in the Browser》

Introducing Mastra FDE

Mastra announced Mastra FDE, a forward-deployed engineering program open to any team building agents, in which a dedicated Mastra engineer embeds with the customer's team from architecture through production at 6 hours/week consultative or 20-40 hours/week hands-on. The post cites Salesforce's Agentforce Vibes harness, MongoDB's Sage platform, and Workday moving security operations agents from Bedrock Agents to Mastra in 31 days while cutting 3,000 lines of code and about 98% of estimated vector storage costs. It positions the offering as cheaper than one senior AI hire and backed by a shared Slack channel with Mastra's founders and engineers, roadmap insights, upskilling sessions, and Mastra Enterprise.

NVIDIA Expands Open Source Commitment With OpenShell Donation and New AI Infrastructure

At KubeCon + CloudNativeCon, NVIDIA is contributing its OpenShell agent security runtime to the CNCF as a Sandbox project and contributing to Google-led Agent Substrate, also accepted into the CNCF Sandbox. NVIDIA also announced new DSX AI Factory Platform components: NVIDIA Kubernetes Engine, NVIDIA Kubernetes Recipes and NVIDIA Snapshot, which restores checkpointed replicas in seconds without model reload or warmup. Design partners Crusoe and Saturn Cloud reported reduced workload readiness and vLLM startup times using Snapshot.

MiniMax H3 Image is now available in ComfyUI

MiniMax H3 Image, MiniMax's open-weights image model, is now natively supported in ComfyUI, handling both text-to-image and reference-image editing from a single checkpoint with six sampling steps at guidance 1 and native output up to 4096×4096. It can run on your own GPU with downloaded weights or via Partner Nodes, and it shares its Qwen3-VL text encoder with the MiniMax H3 video model already supported in ComfyUI. The MiniMax H3 Image Conditioning node supports multi-reference editing via <Picture n> prompt tags, prompts up to 4096 tokens, and automatic sizing that defaults to 2048×2048 for text-to-image or follows image_1 when images are connected.

Manage Kubernetes Clusters for GPU Infrastructure with NVIDIA Kubernetes Engine

NVIDIA announced two open source projects, NVIDIA Kubernetes Engine (NVKE) and NVIDIA Kubernetes Recipes (NVKR), for building and operating managed Kubernetes services on GPU infrastructure. Both are new projects available in public preview. The announcement notes that AI Factory customers often want to consume GPU capacity through the Kubernetes APIs, tools, and ecosystem they already use.

Start and Restore GPU Workloads in Seconds with NVIDIA Snapshot

NVIDIA Snapshot is a new open-source component of the NVIDIA DSX AI Factory Platform that makes initialized GPU workloads reusable across inference replicas, speeding startup and recovery. The post notes that when inference demand spikes or a replica fails, available GPUs do not immediately translate into serving capacity, since initializing an LLM workload—a cold start—can take minutes.

Agent Substrate: Advancing Kubernetes for Agents at Scale

AI agents spend most of their time idle, waiting on a human prompt, a tool result or a model response, and Kubernetes was not built for that. Running one Pod per session holds memory for inactive sessions, while deleting Pods between turns incurs a multi-second cold start and loses the agent's state, and RL post-training hits the same wall. Agent Substrate has now been donated to the foundation named in the source.

Find it, fix it, ship it: building secure apps on Lovable

Lovable outlines its security model: secure sign-in and access controls are on by default, secrets are encrypted, and apps are scanned on every publish for code, application logic, database schemas and row-level security policies, with a free deep scan available on demand. Users can select Fix to have an agent resolve a flagged issue, enable "Auto-fix security issues" in project settings, or use publishing controls to block releases with critical findings. The post also notes upcoming changes this month: a redesigned security experience and scheduled scans on all paid plans.

Google Cloud launches Gemini for healthcare.

Google Cloud announced Gemini for healthcare, an AI solution designed to unify fragmented clinical, operational, and administrative systems by turning siloed data into coordinated action. The platform integrates specialized skills and data connectors with existing third-party systems, drawing on electronic health records, billing platforms, clinical guidelines, and Medicare datasets to orchestrate multi-step workflows such as medical records synthesis and prior authorization review within defined guardrails and with human oversight. It is initially available in preview with launch partners including HCA Healthcare, Highmark Health, and Northwell Health.

Meet Nod: a standalone personal agent from n8n Labs that runs on your computer

n8n Labs, a new team within n8n, has released Nod as a research preview: a standalone, open-source (Apache 2.0) personal agent for Mac and Windows that runs on your computer with its own local sandbox and browser, working in connected apps like Gmail, Calendar, Drive and Slack as well as websites with no integration. It remembers months of conversation (scoring 93.2% on LongMemEval), offers jobs it could take on, runs tasks in parallel via the app, Telegram or WhatsApp, and is free apart from model provider costs, with per-task receipts and a monthly spending limit.

Helping caregivers use AI in everyday life

OpenAI Academy is bringing free, hands-on ChatGPT workshops to caregivers in five U.S. cities, helping them build practical AI skills for everyday life.

v2.1.322

This release adds a fast mode on Vertex in the global, us and eu regions, falling back to standard speed if Vertex refuses it. The release is immutable, so only the release title and notes can be modified.

rust-v0.169.0-alpha.8

This is a GitHub Changelog entry titled "rust-v0.169.0-alpha.8." The supplied material consists only of the site's navigation menu and product links, with no details about the release itself.

Control Room: A central system to track and stop model workloads across our research infrastructure

OpenAI describes its Control Room, a central system that tracks model workloads across its research infrastructure and can rapidly stop them when safety or security concerns arise.

Exploring the world's languages with Language Explorer

Google introduced Language Explorer, an interactive web platform developed as part of its 1,000 Languages Initiative, which lets researchers, educators, and language enthusiasts discover and visualize linguistic diversity around the world using data across thousands of languages built on the open-source LinguaMeta dataset. The tool is featured as an interactive installation in the new exhibition "Real Talk! Language. Power. World." at the Museum of Communication Berlin, running through February 2028, with a companion exhibition at the Museum of Communication Frankfurt through September 2029. Google also noted that Google Translate now supports nearly 250 languages and Gboard supports 900+ language varieties.

Announcing Long-Context Training on TPUs with MaxText Context Parallelism

Google Cloud announced long-context training support in MaxText, its open-source JAX training framework, via four context-parallel strategies on Cloud TPU: All-gather, A2A (DeepSpeed Ulysses), P2P (Ring Attention), and the A2A + P2P hybrid (USP), all using the Tokamax Splash Attention kernel. Benchmarks report Llama 3.1 8B reaching 70% MFU on TPU 5p for sequences up to 4 million tokens, with context extendable to 14 million tokens on TPU 5p and TPU 7, where 14M-token P2P training on 64 TPU 7 chips reached 48.7% MFU versus 37.1% on TPU 5p. The feature is available in MaxText v0.2.4 on PyPI, Docker images and GitHub main, with sample recipes for TPU 7 and TPU 5p.

0.169.0-alpha.7

This page is a GitHub Changelog entry titled "0.169.0-alpha.7"; the supplied material consists only of site navigation and product menu text, with no details about the release itself.

NVIDIA Nemotron 3.5 Super VL is now available in Amazon SageMaker JumpStart

NVIDIA Nemotron 3.5 Super VL, a 120B-parameter vision-language model with 12B active parameters, a C-RADIO vision encoder, and up to 1M-token context, is now deployable in Amazon SageMaker JumpStart via SageMaker Studio or the SageMaker Python SDK. JumpStart offers an NVFP4 variant on G7 instances and BF16 reference weights on ml.p5en.48xlarge, with measured throughput of 63.07 tokens/sec on ml.g7.24xlarge and 140.85 tokens/sec for BF16 on ml.p5en.48xlarge. The model targets document intelligence, GUI understanding, video question answering, and multimodal agentic applications.

Single-shot and agentic retrieval with Amazon Bedrock Managed Knowledge Base

Amazon Bedrock Managed Knowledge Base now supports single-shot RAG and retrieval-only requests through AgenticRetrieveStream, alongside existing agentic retrieval, letting one API serve simple and complex questions. The maxAgentIteration range is now 0–5: 0 returns passages with no model calls, 1 performs one retrieval plus one generated answer, and 2–5 run up to n minus 1 planning rounds before answering. The post illustrates each mode with a fictional banking policy assistant and advises choosing the lowest iteration limit that meets each workflow's quality needs.

Make a Robot Arm Feel Weightless with NVIDIA Holoscan 5

NVIDIA describes using Holoscan 5 to build a gravity-compensation loop that lets a robot arm be guided by hand, with its motors supplying just enough torque to support its weight and keep it upright. The post says this interaction is a useful starting point for robots that learn by demonstration, manipulate objects, or work alongside people, and that such a loop requires continuously calculating the inverse dynamics.

v2.1.321

Claude Code v2.1.321 adds Claude Fable 5.2 (claude-fable-5-2) as the default Fable model with 1M context and $8/$40 per Mtok pricing, adds a --settings <file> option to claude remote-control, and fixes numerous bugs including MCP OAuth secrets being sent to another host on redirect, sandbox and permission-check issues, and network-path editing problems. It also changes mods to turn on without asking in auto and bypass modes, moves saved Fable 5.1 picks to fable, and adjusts fast mode labels, nested skill loading, and gateway and Windows behaviors.

Manage your telemetry in Logfire, send it anywhere

Pydantic Logfire has launched Fleet Management in Beta on every plan, letting users change what their OpenTelemetry Collectors and application SDKs collect and where they send it from Logfire, without editing config files or redeploying apps. Clients connect over OpAMP and pick up published, versioned policies within seconds, covering settings such as sampling, minimum log level, attribute redaction and scrubbing across all exporters the SDK exports through. Supported targets include host Collectors, Kubernetes clusters via the OpenTelemetry Operator, existing Collectors through the opamp extension, and Python, Node.js, Java, .NET and Go applications.

Kuken Industries searches 70 years of drawings in minutes

Kuken Industries uses the OpenAI API to search 70 years of cooling tower drawings. Engineers can find the drawing for a repair in 4.5 minutes, down from nearly an hour.

ChatGPT Enterprise now available in AWS Marketplace

ChatGPT Enterprise is now available through AWS Marketplace, helping organizations simplify procurement through existing AWS purchasing and billing relationships.

The little things that shipped in October

ComfyUI's October update (v0.44) added a Branch Node for selecting one of up to 32 wired paths, native Load LoRA (Model) and Load LoRA (Text Encoder) stack nodes supporting up to 20 LoRAs, and Comfy Desktop templates that automatically download their example inputs and required models. It also brought zip downloads for multiple outputs, EXR/HDR previews and a Convert SDR to HDR node, ProRes output in Save Video, and new tools to hide, box-select and delete links, plus per-widget Undo and Redo.

From prompt to app: Build with Google Maps in AI Studio

Google Maps Platform is now available in Google AI Studio, letting users describe an app idea and have AI Studio handle configuration and API key management with no credit card required. The post lists core APIs for Maps, Places, Routes and Environment, plus example builds like a City Immersive Tour, Pet Grooming Route Optimizer and Store Locator. Built-in sandbox quotas of 100 calls per day per API reset every 24 hours, and linking a Google Cloud billing account unlocks production-grade quotas.

0.169.0-alpha.6

This page is a GitHub Changelog entry titled "0.169.0-alpha.6," but the supplied material contains only site navigation and product menu text (Platform, Copilot, Actions, Codespaces, Advanced Security, pricing, and similar links) rather than the changelog content itself. No release notes, features, fixes, or dates are stated in the material.

Turn buying signals into pipeline with Sendoso gifts in Genie One

Databricks describes how Sendoso's MCP server, installed from Databricks Marketplace as a governed MCP Service in Unity Catalog, lets Genie One users find intent signals in their own data and then select, preview, approve, track or cancel a gift without leaving the workspace. Send history sits alongside pipeline data for attribution, while Unity Catalog permissions, Unity Gateway controls and Sendoso budgets and approvals govern each send. The post cites Sendoso's 2026 Digital Fatigue Report finding that 84% of buyers are fatigued by cold calls and 83% by marketing emails.

Portals on Your Runner

Portals, previously available in orbs, now work on local machines, letting you ask Amp to start a dev server or build a website and open it from the thread's Portal tab regardless of location. Enable them via Allow Portals under Settings › Runner in the macOS app or by starting your runner with amp --no-tui --remote-control-portals; portals on your runner are accessible only to you. To share them with your workspace, start a shared runner with --share or turn on Share With Workspace in the macOS app.

ElevenAgents Campaign Manager works every contact to an outcome

ElevenLabs introduces ElevenAgents Campaign Manager, which takes a list of contacts and a target outcome and runs outbound campaigns, following up over time and carrying context between calls until the outcome is reached or the contact asks to stop. It offers campaign analytics with per-contact decision timelines, a needs-attention queue, CSV export, and controls including calling windows, attempt limits, do-not-call lists and disclosures, and it uses existing ElevenAgents agents and phone numbers over phone calls, WhatsApp voice and WhatsApp messaging, with email and SMS coming soon.

Accelerate GPU training on Unity Catalog tables with UCDataset

Databricks released UCDataset in Beta on AI Runtime, a native PyTorch data loader that streams Unity Catalog tables directly to every GPU in a training job without exports, copies, or custom loader code. On a simulated production workload streaming a 300 GB feature table across 8 NVIDIA H100 GPUs to train a recommendation model, UCDataset cut training time by 10x on average compared with loading data directly from Parquet. The Beta reads Delta tables in Unity Catalog, applies filters and deletion vectors as data is read, and enforces Unity Catalog permissions, though it cannot read tables with row filters or column masks.

Practice Makes Precise: At CoRL, NVIDIA and Partners Reveal How Robots Rehearse Delicate Work in Simulation

At CoRL in Austin, NVIDIA introduced open robotics technologies including GR00T 2, an open world action model built on NVIDIA Cosmos and trained on diverse robot and human data including 100,000 hours of open source human egocentric data, plus Isaac Lab 3.0 with tighter Newton integration for deformable objects and a new reinforcement post-training library. Two NVIDIA papers, GRAIL and RoboTTT, are among six finalists for Best Paper Awards, and partners including Ambi Robotics, Bosch Research, Siemens, Skild AI and UC Berkeley are applying the tools to benchmarks such as DexBench and VABAR and to agentic workflows like Graph-as-Policy. The piece also details AlphaNIST, which trains a single policy across all 20 NIST Assembly Task Board tasks with over 98% training success using roughly 39x less GPU time, and Isaac Lab 3.0 with Newton reaching up to 2.5x the training throughput of Isaac Lab 2.3 with PhysX in a vision-based dexterous manipulation benchmark.

What is Pathways? Single-controller training for large models

Google announces the General Availability of Pathways on Google Cloud Platform, describing the distributed system it built to train large models including Gemini. The post explains where SPMD execution falls short—pipeline bubbles, RL loops with distinct programs, and failures that stop every process—and how Pathways instead has a single Python client declare the whole computation as a graph of blocks and tensors, with a distributed runtime placing it on virtual devices, moving and resharding tensors, ordering work across the cluster, and remapping around a failed host. It also contrasts Pathways with Ray, framing Ray as orchestration and Pathways as the execution layer beneath it.

NVIDIA Dynamo Recipes Bring Korea’s Leading Open Models to Production

NVIDIA is releasing Dynamo-optimized deployment recipes for four Korean open models: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage, and Motif-3 from Motif Technologies. NVIDIA Dynamo is an open source, distributed inference-serving framework that handles request routing and communication for multi-node deployments at data center scale. Optimized for NVIDIA B200 GPUs, the recipes deliver up to 2x performance out of the box.