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The Verge · AI

OpenAI, Anthropic, and NVIDIA set a new quarterly record for lobbying expenditures in the third quarter of 2024.

According to U.S. federal disclosure filings, from July to September 2024, OpenAI, Anthropic, and NVIDIA spent $1.5 million, $2.1 million, and $2.2 million, respectively, on lobbying—each marking a record high for their respective companies in a single quarter. Compared with tech giants like Microsoft and Google, which have long been deeply entrenched in Washington, these amounts remain at a mid-range level, but they underscore that AI companies are accelerating their involvement in shaping policy.

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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

Spotify bets on the AI assistant era: becoming the music service of choice for AI assistants

Spotify co-CEO Gustav Söderström stated during the Q3 2026 earnings call that the rise of AI agents will not diminish the value of streaming platforms; on the contrary, it will reinforce Spotify’s unique advantage—its vast trove of personalized listening data and deep agent integration capabilities, making it the preferred music service interface for third-party AI assistants.

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Google DeepMind

Beyond Canopy Cover: The World’s First 10-Meter-Resolution Forest Type Classification Map Released

DeepMind, in collaboration with Google Earth Engine, has launched AlphaEarth Foundations, achieving for the first time fine-grained classification of forest types for every 10-meter-by-10-meter land unit on Earth, covering more than ten ecological types including tropical rainforests, temperate deciduous forests, and boreal coniferous forests.

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Latent Space

Moshi launches a real-time AI trading recommendation engine, focusing on workflow integration and trustworthy modeling of high-noise data.

Moshi, a startup founded by Anekha Sokhal, a former JPMorgan energy derivatives trader, has launched a real-time AI recommendation engine for commodity and macro traders. The platform integrates multi-source structured and unstructured market data, emphasizing deep workflow coupling, private model building, and trustworthy signal extraction. Currently in its early stages, the company has no publicly disclosed funding, revenue, or user data.

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Latent Space

Moshi: A real-time AI recommendation engine for traders, reimagining market insights through workflow integration.

Former JPMorgan energy derivatives trader Anekha Sokhal founded Moshi to build a real-time AI recommendation system that integrates structured and unstructured data. Its core focus is not to replace Bloomberg, but rather to deeply embed AI into traders’ daily workflows, emphasizing trusted-source filtering, on-device processing of proprietary data, identification of conflicting signals, and customer‑driven product development.

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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

Cloud Deployment Incoming: ‘Call of Duty: Modern Warfare 4’ Arrives on GeForce NOW

Lock in and load out this GFN Thursday. Call of Duty: Modern Warfare 4 arrives on GeForce NOW at launch, bringing a new campaign, multiplayer action and DMZ, high-stakes extraction mode to supported devices. The campaign also gets an enhanced look: GeForce RTX 5080-class performance arrives for Ultimate members, bringing support for ray-tracing features in […]

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MIT Technology Review · AI

Building Context-Aware AI: A New Paradigm for Enterprise Decision Intelligence

Celonis Chief Scientist Devavrat Shah argues that enterprise AI must be embedded in real-world business contexts—such as workflows, role-based permissions, and process constraints—in order to achieve “decision intelligence”; AI divorced from context is prone to errors, resource waste, or ineffective outputs. His technical approach relies on a “context layer” and a digital twin architecture, emphasizing incremental validation, role-based governance, and workforce empowerment. However, all these claims are subjective assertions and have not been independently verified.

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MIT Technology Review · AI

The Hidden Storage Costs of AI Inference: The Data Bill Accumulating Behind Every Response

As the scale of generative AI inference surges, enterprises are facing significantly underestimated backend data storage costs—including logs, caches, intermediate rendering, security records, and more—often amounting to tens to hundreds of times the size of the user-visible output. IDC research shows that 95% of surveyed companies experienced an increase in data volume over the past year due to AI, with 61% reporting growth exceeding 25%, while storage spending has already begun outpacing compute budgets.

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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

Global enterprises leverage the NVIDIA DSX platform to overcome AI infrastructure power bottlenecks.

Faced with the stark reality of over 200 GW of grid‑connected projects backlog in the United States and $300 billion in delayed equipment deliveries, several energy and industrial giants are leveraging NVIDIA’s DSX AI Factory platform to integrate power grids, facilities, and computing systems, enabling collaborative simulation and dynamic scheduling from substations to server racks—thus overcoming the primary bottleneck hindering current AI infrastructure development: power supply constraints.

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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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