NVIDIA and Siemens build new industrial AI operating system

Siemens and NVIDIA have expanded their strategic partnership to build what they describe as an Industrial AI operating system.

The collaboration aims to embed AI-driven intelligence throughout the entire industrial lifecycle, from product design and engineering to manufacturing, operations and supply chains.

Siemens will contribute industrial AI expertise alongside hardware and software, while NVIDIA will provide AI infrastructure, simulation technologies and accelerated computing platforms.

The companies plan to develop fully AI-driven adaptive manufacturing sites, beginning in 2026 with Siemens’ electronics factory in Erlangen, Germany.

Digital twins will be used as active intelligence tools instead of static simulations, allowing factories to analyse performance in real time, test improvements virtually and convert successful adjustments directly into operational changes.

Both firms will also accelerate semiconductor design by combining Siemens’ EDA tools with NVIDIA’s GPU-accelerated computing and AI models. The goal is to shorten design cycles, improve manufacturing yields and support the development of advanced AI-enabled products.

The partnership also aims to create next-generation AI factories that optimise power, cooling, automation and infrastructure efficiency.

Siemens and NVIDIA intend to use the same technologies internally to improve their own operations before scaling them to customers. They argue the partnership will help industries adopt AI more rapidly and reliably, while supporting more resilient and sustainable manufacturing worldwide.

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Meta’s Threads tests basketball game inside chats

Threads is experimenting with gaming inside private chats, beginning with a simple basketball game that allows users to swipe to shoot hoops.

Meta confirmed that the game remains an internal prototype and is not available to the public, meaning there is no certainty it will launch. The feature was first uncovered by reverse engineer Alessandro Paluzzi, who frequently spots unreleased tools during development.

In-chat gaming could give Threads an advantage over rivals such as X and Bluesky, which do not currently offer built-in games. It may also position Threads as a competitor to Apple’s Messages, where users can already access chat-based games through third-party apps instead of relying on the platform alone.

Meta has already explored similar ideas inside Instagram DMs, including a hidden game that lets users keep an emoji bouncing on screen.

Threads continues to expand its feature set with Communities and disappearing posts, although the platform still trails X in US adoption despite reporting 400 million monthly users worldwide.

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Cloud and AI growth fuels EU push for greener data centres

Europe’s growing demand for cloud and AI services is driving a rapid expansion of data centres across the EU.

Policymakers now face the difficulty of supporting digital growth instead of undermining climate targets, yet reliable sustainability data remains scarce.

Operators are required to report on energy consumption, water usage, renewable sourcing and heat reuse, but only around one-third have submitted complete data so far.

Brussels plans to introduce a rating scheme from 2026 that grades data centres on environmental performance, potentially rewarding the most sustainable new facilities with faster approvals under the upcoming Cloud and AI Development Act.

Industry groups want the rules adjusted so operators using excess server heat to warm nearby homes are not penalised. Experts also argue that stronger auditing and stricter application of standards are essential so reported data becomes more transparent and credible.

Smaller data centres remain largely untracked even though they are often less efficient, while colocation facilities complicate oversight because customers manage their own servers. Idle machines also waste vast amounts of energy yet remain largely unmeasured.

Meanwhile, replacing old hardware may improve efficiency but comes with its own environmental cost.

Even if future centres run on cleaner power and reuse heat, the manufacturing footprint of the equipment inside them remains a major unanswered sustainability challenge.

Policymakers say better reporting is essential if the EU is to balance digital expansion with climate responsibility rather than allowing environmental blind spots to grow.

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Google showcases AI tool for visualising 2026 goals

An innovative approach has gained attention as Google shared a way to help users visualize their goals for 2026 using its Gemini AI platform.

In a post from the official Gemini account, users were invited to experiment with a prompt linked to Nano Banana Pro, turning future planning into a visual and shareable exercise.

The approach centres on a detailed image prompt that encourages users to create an illustrated vision board rather than a written list of resolutions.

By combining a knolling-style layout with hand-drawn aesthetics, notebook textures and playful annotations, the prompt aims to make goal-setting feel more personal and engaging.

Users are encouraged to customise the prompt by inserting their own aspirations, habits or milestones, allowing the AI to generate a tailored illustration. Cross-hatching, highlighter effects and handwritten notes give the images a deliberately imperfect, journal-like quality, despite being AI-generated.

The experiment reflects a broader trend of using generative AI for creative self-reflection rather than productivity alone. By framing goals as visual stories, Google is positioning Gemini as a tool that blends artistic expression with everyday planning.

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New οffline AI note app promises privacy without subscriptions

Growing concern over data privacy and subscription fatigue has led an independent developer to create WitNote, an AI note-taking tool that runs entirely offline.

The software allows users to process notes locally on Windows and macOS rather than relying on cloud-based services where personal information may be exposed.

WitNote supports lightweight language models such as Qwen2.5-0.5B that can run with limited storage requirements. Users may also connect to external models through API keys if preferred.

Core functions include rewriting, summarising and extending content, while a WYSIWYG Markdown editor provides a familiar workflow without network delays, instead of relying on web-based interfaces.

Another key feature is direct integration with Obsidian Markdown files, allowing notes to be imported instantly and managed in one place.

The developer says the project remains a work in progress but commits to ongoing updates and user-driven improvements, even joining Apple’s developer programme personally to support smoother installation.

For users seeking AI assistance while protecting privacy and avoiding monthly fees, WitNote positions itself as an appealing offline alternative that keeps full control of data on the local machine.

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Best AI dictation tools for faster speech-to-text in 2026

AI dictation reached maturity during the years after many attempts of patchy performance and frustrating inaccuracies.

Advances in speech-to-text engines and large language models now allow modern dictation tools to recognise everyday speech more reliably while keeping enough context to format sentences automatically instead of producing raw transcripts that require heavy editing.

Several leading apps have emerged with different strengths. Wispr Flow focuses on flexibility with style options and custom vocabulary, while Willow blends automation with privacy by storing transcripts locally.

Monologue also prioritises privacy by allowing users to download the model and run transcription entirely on their own machines. Superwhisper caters for power users by supporting multiple downloadable models and transcription from audio or video files.

Other tools take different approaches. VoiceTypr offers an offline-first design with lifetime licensing, Aqua promotes speed and phrase-based shortcuts, Handy provides a simple free open source starting point, and Typeless gives one of the most generous free allowances while promising strong data protection.

Each reflects a wider trend where developers try to balance convenience, privacy, control and affordability.

Users now benefit from cleaner, more natural-sounding transcripts instead of the rigid audio typing tools of previous years. AI dictation has become faster, more accurate and far more usable for everyday note-taking, messaging and work tasks.

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China proposes strict AI rules to protect children

China has proposed stringent new rules for AI aimed at protecting children and preventing chatbots from providing advice that could lead to self-harm, violence, or gambling.

The draft regulations, published by the Cyberspace Administration of China (CAC), require developers to include personalised settings, time limits, and parental consent for services offering emotional companionship.

High-risk chats involving self-harm or suicide must be passed to a human operator, with guardians or emergency contacts alerted. AI providers must not produce content that threatens national security, harms national honour, or undermines national unity.

The rules come as AI usage surges, with platforms such as DeepSeek, Z.ai, and Minimax attracting millions of users in China and abroad. The CAC supports safe AI use, including tools for local culture and elderly companionship.

The move reflects growing global concerns over AI’s impact on human behaviour. Notably, OpenAI has faced legal challenges over alleged chatbot-related harm, prompting the company to create roles focused on tracking AI risks to mental health and cybersecurity.

China’s draft rules signal a firm approach to regulating AI technology as its influence expands rapidly.

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Hackers abuse new AI agent connections

Security researchers warn hackers are exploiting a new feature in Microsoft Copilot Studio. The issue affects recently launched Connected Agents functionality.

Connected Agents allows AI systems to interact and share tools across environments. Researchers say default settings can expose sensitive capabilities without clear monitoring.

Zenity Labs reported attackers linking rogue agents to trusted systems. Exploits included unauthorised email sending and data access.

Experts urge organisations to disable Connected Agents for critical workloads. Stronger authentication and restricted access are advised until safeguards improve.

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Millions watch AI-generated brainrot content on YouTube

Kapwing research reveals that AI-generated ‘slop’ and brainrot videos now dominate a significant portion of YouTube feeds, accounting for 21–33% of the first 500 Shorts seen by new users.

These rapidly produced AI videos aim to grab attention but make it harder for traditional creators to gain visibility. Analysis of top trending channels shows Spain leads in AI slop subscribers with 20.22 million, while South Korea’s channels have amassed 8.45 billion views.

India’s Bandar Apna Dost is the most-viewed AI slop channel, earning an estimated $4.25 million annually and showing the profit potential of mass AI-generated content.

The prevalence of AI slop and brainrot has sparked debates over creativity, ethics, and advertiser confidence. YouTube CEO Neal Mohan calls generative AI transformative, but rising automated videos raise concerns over quality and brand safety.

Researchers warn that repeated exposure to AI-generated content can distort perception and contribute to information overload. Some AI content earns artistic respect, but much normalises low-quality videos, making it harder for users to tell meaningful content from repetitive or misleading material.

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AI slop dominates YouTube recommendations for new users

More than 20 percent of videos recommended to new YouTube users are low-quality, attention-driven content commonly referred to as AI slop, according to new research. The findings raise concerns about how recommendation systems shape early user experience on the platform.

Video-editing firm Kapwing analysed 15,000 of YouTube’s top channels across countries worldwide. Researchers identified 278 channels consisting entirely of AI-generated slop, designed primarily to maximise views rather than provide substantive content.

These channels have collectively amassed more than 63 billion views and 221 million subscribers. Kapwing estimates the network generates around $117 million in annual revenue through advertising and engagement.

To test recommendations directly, researchers created a new YouTube account and reviewed its first 500 suggested videos. Of these, 104 were classified as AI slop, with around one third falling into a category described as brainrot content.

Kapwing found that AI slop channels attract large audiences globally, including tens of millions of subscribers in countries such as Spain, Egypt, the United States, and Brazil. Researchers said the scale highlights the growing reach of low-quality AI-generated video content.

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