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TechCrunch · AI

Chinese-affiliated hackers used AI proxies to infiltrate the ConnectWise cloud backup system, affecting approximately 2,250 enterprises.

Microsoft’s security team reported that a China-linked hacking group compromised the cloud backup service of IT management provider ConnectWise, stole customer application credentials, and leveraged the open-source AI framework ARTEX to carry out rapid lateral movement, launching nearly 3,000 login attempts per minute on average and resulting in espionage activities affecting approximately 2,250 client organizations.

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AWS Machine Learning Blog

Amazon SageMaker TTS service enables metric-driven auto-scaling: taking the Kokoro-82M model as an example.

The AWS blog introduces an empirical, automated scaling method for deploying text-to-speech (TTS) models on SageMaker real-time endpoints, eliminating guesswork and basing the approach on two measured metrics—Q_max (the maximum sustainable concurrent requests per instance) and T_total (the time required for planned scaling)—to create a reproducible, verifiable scaling strategy.

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AWS Machine Learning Blog

Rescale leverages the AWS AI-DLC framework and Strands Agents to rapidly build an AI test traffic-splitting proxy.

Rescale, in collaboration with AWS engineers and leveraging the AI-Driven Development Lifecycle (AI-DLC) methodology, the Strands Agents framework, and Amazon Bedrock (Claude Opus 4.8), completed within five days a production-ready AI test-routing agent designed to automatically classify and route nighttime end-to-end test failures, and rolled out this human-AI collaborative development paradigm across the organization.

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TechCrunch · AI

Uber has fully deployed ChatGPT Work: 30,000 employees have gained access to OpenAI’s enterprise-grade AI tools.

Uber announced that it has rolled out ChatGPT Work to all roughly 30,000 of its global employees, scaling up from an initial pilot involving a thousand staff at the start of the year to company-wide adoption. The tool is already being used for data analysis, localization of multilingual training materials, and building interactive work dashboards, though specific use cases remain under each team’s own exploration, and the company has not yet disclosed the procurement costs.

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Microsoft Research

Flint-interactive: An interactive data visualization programming language for AI agents

Microsoft Research has unveiled Flint-interactive, a domain-specific language for building highly expressive, semantically rich interactive data visualizations. Its compiler automatically maps user interactions—such as clicks and brush selections—to semantic events and uses high-level operators to drive coordinated updates across multiple elements, including charts, tables, and text, significantly reducing the cost and development complexity of creating reliable interactive visualizations with AI agents.

OfficialResearch
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Ars Technica · AI

Hackers exploited a critical PHP2Shell vulnerability four days in advance, and Amazon has confirmed it has been widely weaponized in the wild.

Amazon disclosed that the PHP2Shell vulnerability series, identified by its AI tools, had already been actively probed and exploited by hackers four days before the official public disclosure; currently, this vulnerability is being “widely exploited in the wild,” and governments and enterprises worldwide are urgently hardening their systems.

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TechCrunch · AI

Anthropic launches the Claude Duet app: an AI agent product focused on professional scenarios.

Anthropic has officially launched Claude Duet—an AI agent application for professionals and small businesses, built on the Claude Opus 5.5 model. It supports over 6,000 connectors, can automatically generate daily briefs, build dashboards, suggest actions, and perform background tasks; currently, it is available only to Pro and Max subscribers on a waitlist for trial use.

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NVIDIA Blog

Several leading financial institutions in Europe have adopted open-source large models to build proprietary intelligent systems.

At the GTC Berlin conference, European financial institutions including Revolut, Starling Bank, Lloyds, and Santander announced that they are building production‑grade AI capabilities based on NVIDIA’s accelerated computing platform and open‑source weight models—such as PRAGMA, the Nemotron series, and the Kumo family—covering core use cases like trading analytics, speech recognition, fraud detection, and data pipeline acceleration, while emphasizing data sovereignty, cost control, and compliant deployment.

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NVIDIA Blog

NVIDIA Cosmos Platform Upgrade: New Toolchain for Training, Evaluating, and Deploying World Models

NVIDIA has expanded the Cosmos platform by introducing the Cosmos Data Factory blueprint, the Cosmos Framework training optimization tool, and the Cosmos 3 NIM microservice, supporting multimodal data generation, adaptation to open-source world models (such as GR00T and QWEN), and low-latency inference; real-world applications have already been deployed by Porsche, ANYbotics, Ultralytics, ADNOC, and others.

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NVIDIA Blog

NVIDIA drives the transformation of Europe’s retail sector: Open models and physical intelligence are being implemented in e-commerce, warehousing, and virtual try-on.

European retailers are leveraging NVIDIA-accelerated open large models and physics‑AI technologies to achieve large‑scale deployment across scenarios such as digital product discovery, intelligent warehouse simulation, virtual try‑on, and accelerated R&D. Companies including Shopify, Zooplus, L’Oréal, and the Otto Group have used tools like the Nemotron series of models, Omniverse digital twins, and ALCHEMI molecular simulations to significantly reduce inference costs, improve search accuracy, shorten R&D cycles, and validate improvements in conversion rates and sales growth.

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NVIDIA Blog

Several European institutions have deployed the NVIDIA Earth-2 open-source model to advance localized weather and climate prediction applications.

NVIDIA has released the Earth-2 open-source AI model family for Europe, including the region-specific nowcasting model StormScope EU, and is collaborating with organizations such as AXA, Vaisala Xweather, the University of Manchester, and TotalEnergies to conduct real-world validation, covering tasks like storm risk assessment, air quality modeling, solar power generation forecasting, and radar terrain inversion.

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NVIDIA Blog

NVIDIA’s open-source models are helping to bring AI projects in the public sector to fruition across multiple European countries.

NVIDIA, in collaboration with governments and technology partners across multiple European countries, is advancing sovereign, controllable AI applications—leveraging open-source large models such as Nemotron and synthetic persona datasets—in Germany, Poland, the United Kingdom, France, Greece, and other nations. These efforts span areas including medical image analysis, employment services, digital government assistants, classified information processing, and localized language modeling.

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Hugging Face 官方博客

Microsoft and Hugging Face have open-sourced the ThinkingBox framework: using the database’s final state as a deterministic reward signal to advance post-training reinforcement learning for agents.

Microsoft and Hugging Face have jointly launched the open-source framework ThinkingBox, which generates binary 0/1 rewards by comparing the LLM agent’s final database state after execution with the expected state, for reinforcement learning-based fine-tuning. The accompanying benchmark, ThinkingBox-Bench, includes 507 real-world backend tasks, none of which were used during training. After 50 steps of GRPO fine-tuning, Qwen3.8-27B achieved a 9.08-percentage-point improvement in pass@1 on the held-out test set, with Observed 20/20 nearly tripling; however, pass@20 declined in some domains, reflecting a trade-off between breadth and stability.

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n8n 官方博客

Self-Hosted Large Models vs. Cloud APIs: How to Route Requests Intelligently

This article compares the trade-offs between self-hosted large language models and cloud APIs in terms of data privacy, cost, latency, and capabilities. It outlines the hardware requirements (such as VRAM and quantization) for open-source deployable models, discusses typical technology stacks, and uses n8n as an example to demonstrate how to build hybrid routing workflows that dynamically distribute requests between on-premises and cloud-based models based on task sensitivity, complexity, or compliance requirements.

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n8n 官方博客

Stateful vs Stateless: Context Management Strategies in AI Agent Development

This article explores the core differences between stateful and stateless architectures in AI agent systems, analyzes their practical impacts on scalability, fault tolerance, and contextual continuity, and uses the n8n platform as an example to demonstrate how to design memory nodes and state stores in a layered manner to achieve flexible, controllable state management.

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AWS Machine Learning Blog

Deep Insight: How AWS’s Open-Source Multi-Agent System Addresses Five Major Production-Grade Challenges

AWS Solutions Architecture Team has launched Deep Insight, an open-source multi-agent system designed for automated CSV data analysis and natural-language report generation. It systematically addresses five common challenges in production environments—agent orchestration, role-based model selection, stable operation, secure code execution, and observability—and has been validated in real-world scenarios such as LG Electronics and the re:Invent 2025 TechRecon.

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AWS Machine Learning Blog

AWS releases the Adaptive Agent Framework (AAIF): a hierarchical AI task scheduling solution that enables edge-cloud collaboration based on Strands Agents.

AWS has introduced the Adaptive Agentic Intelligence Framework (AAIF), which leverages Strands Agents to build a hierarchical agent architecture. It dynamically routes tasks via local small language models (SLMs): routine IoT telemetry and visual analytics are executed at the edge, while complex reasoning is offloaded to Amazon Bedrock’s large cloud-based models. The framework supports hybrid deployment, keeps costs under control, and incorporates responsible AI governance recommendations; however, it currently exists as a proof-of-concept implementation and does not yet provide third-party validation or commercial deployment data.

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TechCrunch · AI

Meta confirms that the AI app Muse has surpassed 10 million users, with shopping emerging as its core use case.

During its Q3 2026 earnings call, Meta confirmed that the number of users of its AI agent app, Muse, has surpassed 10 million; approximately 25% of new users engage with it daily, with shopping being the most frequent activity—over a quarter of active shopping users spend more than $200 per transaction on average. Meanwhile, Plaid reported that its payment connector’s API calls on Muse have reached an all-time high.

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