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    AI MODELS TRAINING DATA

    MeitY flags physical AI data; US data centre woes may help India

    Happy Friday! MeitY is examining how home services platforms collect household data to train physical AI models.This and more in today’s ETtech Morning Dispatch.

    MeitY examines data collection by home services platforms for physical AI training

    The consultation comes amid growing interest among AI and robotics developers in first-person video and sensor data, which can help train machines to understand and replicate human actions in real-world environments. Such recordings capture how people perform routine activities, providing training inputs for robots designed to undertake physical tasks.

    Nvidia to Anthropic, OpenAI & Meta: Here are the five biggest tech scandals of 2026 explained in a nutshell

    In 2026, significant scandals rocked the technology sector, involving major companies like Nvidia, Anthropic, OpenAI, and Meta. Jensen Huang resigned from Nvidia amid allegations related to a personal relationship and potential security concerns. Anthropic faced lawsuits over unauthorized use of copyrighted materials for AI training data, raising intellectual property issues. OpenAI and Meta dealt with security failures related to AI agents and Instagram account safety, respectively.

    MeitY probes physical AI data use; Nvidia CEO Jensen Huang resigns

    MeitY is reviewing the practice of collecting first-person video and sensor data from gig workers to train physical AI models. This and more in today’s ETtech Top 5.

    CleanMax plans ₹50,000-crore investment in Andhra Pradesh to power 2 GW green compute factory

    CleanMax Enviro Energy Solutions Ltd has signed an MoU to invest ₹50,000 crore in Andhra Pradesh for developing clean energy. The investment will include 3 GW of renewable capacity and a compute factory in Kurnool district. They plan to ensure round-the-clock electricity through integrated power infrastructure combining wind, solar, and storage systems. Additionally, CleanMax will implement training programs for local youth and upgrade educational infrastructure.

    Why Google and OpenAI want AI agents to decide faster

    Google has introduced the Gemini Decisions API, which aids AI agents in making faster decisions for various tasks. This new tool enables quicker selections for requests by scoring options in one processing pass. Competitors like OpenAI and TypeSafe have released similar offerings, with unique features tailored to their models.

    • Who gets to train creative AI? Adobe’s Firefly expansion puts licensing in focus

      Adobe is expanding its Firefly AI ecosystem and bringing third-party AI agents into creative apps such as Photoshop and Premiere Pro, giving designers, photographers and editors more ways to use artificial intelligence. However, questions around copyright, training data and licensing remain important. In an interview with ET Digital at Adobe MAX 2026, Chief Legal Officer Louise Pentland explains how Adobe approaches creator rights, why licensing terms can differ between AI models, and how Content Credentials can help users verify the origins of digital content.

      ByteDance prepares Meta's Muse-like agent in push to close AI gap

      ByteDance is preparing to release an AI assistant similar to Muse by Meta Platforms soon. Co-founder Zhang Yiming has shared his vision of competing with companies like Anthropic and OpenAI by 2030. The company intends to invest up to $70 billion in developing the Seedance video AI platform.

      Bigger cheques, fewer winners in India’s AI boom

      Indian AI startups raised $1.6 billion in funding during the first nine months of 2026. While AI infrastructure attracted significant investments, application startups faced declining funding and challenges in securing customers. Large transactions constituted most of the total funding, highlighting a disparity in investment distribution.

      AI training startup Mercor valued at $20 billion in latest funding round

      Mercor said on Tuesday it had raised $750 million in a funding round that valued the AI training startup at $20 billion. The Series D round drew participation from Benchmark, Felicis, Fundomo, Nvidia and funds managed by affiliates of Apollo, among others.

      How China gets the Nvidia chips it needs to develop AI

      Nvidia's dominance in the global AI chip market has come under scrutiny as US export restrictions fail to fully prevent China from accessing advanced processors. Chinese firms are reportedly obtaining Nvidia chips through smuggling and overseas data centres, while domestic players such as Huawei race to develop competitive alternatives.

      Disney taps Adobe to build custom AI for its theme parks, studios and ESPN

      Disney has partnered up with Adobe on a multi-year deal in order to develop custom AI models trained on its characters, visual styles and fictional worlds. The technology will be explored across Disney’s theme parks, cruise line, film studios and ESPN, with applications ranging from concept art to sports content production.

      Anthropic's IPO: A close look at AI frontrunner's rapid growth, spiraling costs

      Anthropic aims to raise up to $64.4 billion in an upcoming IPO, representing a significant market debut. The company plans a valuation of up to $1.02 trillion, showcasing its ambitions in AI. Founded by former OpenAI researchers, Anthropic's revenue has rapidly surged with enterprise adoption of its AI models. While facing substantial operating losses, the company remains committed to its substantial infrastructure investments.

      Moonshot AI rents Nvidia’s top AI chips in China, documents show

      Documents indicate that Moonshot AI possibly accessed advanced Nvidia chips despite US export restrictions and related investigations. The servers were reportedly rented from Super Micro Computer Inc. with significant financial backing from Lingmeixin Technology Co.

      When AI starts operating machines, the network becomes industrial infrastructure

      As manufacturing and automation expand together, networks built to serve billions of people will increasingly serve tens of billions of machines and AI agents as well. Treating those connections as industrial infrastructure, and planning them for that scale, will determine how well physical AI works once deployments move from individual use cases to whole industrial environments.

      Australia to adopt 'mandatory' AI safeguards

      Artificial intelligence companies will have to abide by new "mandatory" safeguards when operating in Australia, Prime Minister Anthony Albanese said Tuesday. With immense renewable energy potential and vast stretches of uninhabited land, Australia has billed itself as a prime location for the data centres needed to power artificial intelligence.

      India's ChatGPT boom faces a reality check as free AI use meets rising costs

      India has emerged as ChatGPT's largest market, driven by its vast digitally connected population and widespread access to free AI services. However, as AI infrastructure expands and computing and energy costs rise, companies face the challenge of recovering investments. Convincing price-sensitive Indian users to pay for AI remains difficult.

      Anthropic is rapidly accelerating AI development amid slowdown calls, outside research group says

      Anthropic invited researchers from the Berkeley, California-based nonprofit, Model Evaluation and Threat Research, to review its internal data and interview staff as it prepares for its Wall Street debut with debate swirling over the potential for AI models to elude human control with catastrophic consequences.

      Tencent rolls out AI model trained with limited cybersecurity data amid hacking fears

      Tencent on Wednesday released Hy4, its new open-source model, that the company said was trained with limited cybersecurity data to "defensive" content to reduce the risks of the model's ability to aid cyberattacks.

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