The site acquisition brings xAI’s total planned power capacity close to 2 gigawatts, a scale that places the project

 Elon Musk said on Tuesday his artificial intelligence startup xAI has bought a third building to expand its infrastructure, aiming to boost training capacity to nearly 2 gigawatts of compute power.

The latest expansion underscores xAI's ambitious push to compete more effectively with industry leaders OpenAI's ChatGPT and Anthropic's Claude by training increasingly advanced models. The company's supercomputer cluster in Memphis, Tennessee, known as Colossus, is touted as the largest in the world.

"xAI has bought a third building called MACROHARDRR," Musk wrote on X, without disclosing its location. The term is potentially a play on Microsoft's name.

The new building is just the beginning of the expected expenses, though. After all, xAI still must acquire the GPUs, power sources, and more for the site to be productive. And even though Musk is one of the richest people on earth, he’s still working to raise tens of billions of dollars to help fund it, as xAI is burning through over a billion dollars a month, as it races to build the most advanced AI on the planet.

Even though Musk is still working on the funding for the project, Nvidia has already reportedly signed a deal to deliver the needed GPUs for the site, helping him reach his goal of acquiring 50 million H100-equivalent GPUs in the next five years. Musk's ultimate goal, though, is to have more AI compute than everyone else combined, challenging Microsoft and other AI titans. Aside from acquiring the chips for the AI data center, the billionaire also needs to find a way to power it. It’s already been confirmed that Musk bought an overseas power plant and is shipping it to the U.S. to power Colossus 2. xAI has already set its sights on installing a gas turbine facility, which is set to supply 460MW from natural gas, helping the firm achieve its lofty compute capacity goals

Aiming to boost training capacity to nearly 2 gigawatts of compute power, Elon Musk said that his artificial intelligence startup xAI has bought a third building to expand its infrastructure. The latest expansion underscores xAI's ambitious push to compete more effectively with industry leaders OpenAI's ChatGPT and Anthropic's Claude by training increasingly advanced models.

The site acquisition brings xAI’s total planned power capacity close to 2 gigawatts, a scale that places the project among the most energy-intensive AI data centre clusters currently under development.

The company's supercomputer cluster in Memphis, Tennessee, known as Colossus, is touted as the largest in the world. The building for a third supersized data center is reportedly being planned outside Memphis.

"xAI has bought a third building called MACROHARDRR," Musk wrote on X, without disclosing its location. The term is potentially a play on Microsoft's name.

xAI is planning to expand its supercomputer Colossus to house at least 1 million graphics processing units.

According to a news report, the startup is planning to start turning the newly purchased warehouse into a data center in 2026, adding that both the new data center and Colossus 2 are close to a natural gas power plant that xAI is building in the area, as well as other power sources.

However, the expansion of AI infrastructure has drawn criticism from environmental activists as data centers consume large amounts of energy..

By Advik Gupta

Huawei and PEA Launch Next-Generation AI-Powered Intelligent Substations in Thailand

Huawei, in collaboration with Thailand’s Provincial Electricity Authority (PEA), has introduced a next-generation intelligent substation solution powered by artificial intelligence, marking a significant step forward in the digital modernization of Thailand’s power infrastructure. The announcement was made at a themed event, “AI Empowers New-Gen Intelligent Substations,” held in Bangkok.

William Zhang, President of Enterprise Business at Huawei Thailand, highlighted the growing challenges facing modern power systems, including renewable energy integration and interactive electricity consumption. He emphasized that digitalization and intelligence are essential to overcoming these challenges. “As critical components of the power grid, substations must evolve to improve overall system reliability. Our joint solution with PEA combines optical-visual linkage with AI-driven predictive maintenance, enabling intelligent inspections and highly efficient operations and maintenance. This ensures substations operate safely, reliably, and efficiently,” Zhang said.

Pantong Thinsatit, Assistant Governor for Grid Network Operations at PEA, stressed the importance of digital transformation in driving high-quality development within the power sector. “PEA is accelerating the adoption of intelligent substations through innovation to redefine energy services. We have already deployed unattended intelligent systems across 467 substations, leveraging advanced technologies to enhance operational safety,” he noted. Looking ahead, PEA plans to advance full automation, break down data silos, and integrate smart poles, license plate recognition, battery monitoring, and emergency response systems to enable faster and more accurate operations. These intelligent substations are expected to become central to the energy ecosystem and serve as a scalable model for industry-wide digital transformation.

Conventional substations often face three key challenges: inadequate security monitoring, inefficient and error-prone manual inspections, and legacy cabling infrastructure that results in high latency and limited stability, restricting intelligent service deployment. Huawei’s solution addresses these issues through three core capabilities:

All-Weather Digital Security (Perimeter Protection):
By combining fiber-optic sensing technologies with AI algorithms, the system can automatically detect intrusions, coordinate with video surveillance, and enable remote verification. This transforms security from a reactive approach to proactive, 24/7 monitoring.

AI-Driven Intelligent Inspection:
Advanced AI inspection algorithms, computer vision models, and cloud-edge collaboration enable automated meter reading, transformer oil leakage detection, and real-time remote management. Faults can be identified and addressed within minutes, significantly improving maintenance efficiency.

Full Connectivity Through a Comprehensive Sensing Network:
Intra-station passive optical networks (PONs) reduce deployment time and costs while providing high-speed, stable connectivity. This network acts as the “nervous system” of the power grid, supporting intelligent operations and maintenance.

This collaboration reflects the strong progress Huawei and PEA have made in technological innovation and ecosystem development. Moving forward, Huawei will continue to work closely with Thailand’s power utilities and industry partners to further accelerate the digital and intelligent transformation of the country’s power sector.

BY: NIROSHA GUPTA

Centre Puts Social Media Platforms on Notice Over Obscene Content

The Union government has issued a strong warning to social media companies and digital intermediaries, cautioning that continued inaction against obscene and unlawful content could invite serious legal consequences.

In an advisory dated December 29, 2025, the Ministry of Electronics and Information Technology (MeitY) directed online platforms to urgently reassess their content governance practices. The ministry made it clear that legal protection available to intermediaries under Section 79 of the Information Technology Act is conditional and applies only when platforms demonstrate adequate “due diligence” in moderating third-party content.

Compliance Failures Flagged

According to MeitY, a recent assessment revealed that several platforms are failing to respond effectively to content that is obscene, vulgar, or otherwise illegal. The ministry noted that such lapses undermine user safety and violate existing legal obligations.

Obligations Under IT Rules, 2021

The advisory reiterates that the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 require platforms to actively prevent users from creating or circulating content that is:

• Pornographic or sexually explicit

• Pedophilic or exploitative of children

• Harmful to minors in any form

Platforms are expected to take reasonable and proactive measures to ensure such material does not remain accessible.

Mandatory Action Timelines

MeitY has also reminded intermediaries of strict content takedown deadlines:

• Sexual or impersonation-related content must be removed within 24 hours of receiving a complaint.

• Content flagged through court orders or government directions must be disabled within the timelines prescribed under the IT Rules.

For major social media platforms, the government stressed the need to move beyond reactive moderation and deploy automated and technology-driven tools to detect and curb unlawful content at scale.

Legal Risks for Non-Compliance

The advisory leaves little room for ambiguity. Platforms that fail to comply may face:

• Withdrawal of safe-harbour protection, exposing them to direct liability for user-generated content.

• Criminal proceedings under the IT Act, the Bharatiya Nyaya Sanhita (BNS), and other applicable laws, potentially affecting companies, their executives, and even users.

Government’s Message

Through this advisory, the Centre has signaled a tougher enforcement stance, emphasizing that content moderation is no longer optional or complaint-driven but a core legal responsibility for digital platforms operating in India.

By - Aaradhay Sharma

According to TRAI’s latest data, broadband subscriptions stood at about 100.37 crore

India has quietly crossed one of the most consequential digital thresholds in its history. By November 2025, the country’s broadband user base moved beyond the one-billion mark, underscoring how deeply internet access has woven itself into everyday Indian life.

According to TRAI’s latest data, broadband subscriptions stood at about 100.37 crore, a figure that highlights not just scale, but speed. A decade ago, India had barely 13 crore broadband users. In ten years, connectivity expanded more than sixfold—an acceleration rarely seen in infrastructure-led transformations.

This growth has been overwhelmingly mobile-driven. Affordable smartphones, low-cost data, and rapid 4G—and now 5G—network expansion have made wireless broadband the default gateway to the internet for most Indians. Fixed-line broadband continues to grow at a slower pace, adding stability and capacity, but it is mobile data that has carried India to this milestone.

The competitive landscape reflects this shift.

Reliance Jio has emerged as the clear leader, serving over 51 crore broadband users across wireless and wireline services.

Bharti Airtel follows with more than 31 crore subscribers, strengthening its presence through network upgrades and premium offerings.

Vodafone Idea, despite financial pressures, continues to connect nearly 13 crore users, largely through mobile broadband.

What makes this milestone more significant is where the growth is coming from. While cities initially drove adoption, rural India is increasingly contributing to new connections, supported by expanding tower coverage, government digital initiatives, and rising demand for online services. Growing rural teledensity points to narrowing access gaps that once defined India’s digital divide.

Beyond statistics, the billion-subscriber mark signals a shift in expectations. Internet access is no longer aspirational—it is assumed. From streaming and digital payments to telemedicine, online education, and remote work, broadband has become foundational to economic participation and social mobility.

With 5G rollouts accelerating and infrastructure investment continuing, India’s broadband journey is entering a new phase—one focused less on access alone and more on quality, speed, and reliability. The numbers tell a story not just of connectivity, but of a nation transitioning into a fully digital society, laying the groundwork for its ambitions as a global digital powerhouse.

By - Aaradhay Sharma

Helium AI Launches “AI for Cause” to Power Nonprofits with Enterprise-Grade Intelligence

In late December 2025, Helium AI, the enterprise artificial intelligence platform built by Neural Arc, introduced AI for Cause—a global, purpose-driven initiative aimed at strengthening nonprofit organizations through advanced AI automation and intelligent agent capabilities.

The program is designed to bridge the technology gap for nonprofits by extending enterprise-level AI tools to organizations working across high-impact domains such as healthcare, education, environmental sustainability, social welfare, and human rights. AI for Cause will support eligible nonprofits operating in over 25 countries, helping them scale impact while improving operational efficiency.

Under the initiative, 50 selected nonprofit organizations will receive complimentary access to the Helium AI Enterprise Platform, along with platform credits valued at INR 50,000 per organization. These resources are intended to help NGOs optimize workflows, speed up research, enhance fundraising efforts, and broaden community engagement—delivering measurable productivity improvements.

Designed for Outcome-Driven Social Impact

AI for Cause goes beyond software access. Participating nonprofits are enrolled in a 12-month structured engagement program, which includes:

Priority onboarding to accelerate adoption

Hands-on implementation support tailored to nonprofit needs

Guided use-case deployment focused on real-world outcomes

The initiative reflects Helium AI’s broader mission to make advanced artificial intelligence accessible to organizations creating meaningful social change.

Key Advantages for Participating Nonprofits

Organizations selected for AI for Cause gain access to a comprehensive support ecosystem, including:

Free Platform Access: Full use of the Helium AI Enterprise Platform for 12 months

Platform Credits: INR 50,000 in credits to support AI-powered workflows

Dedicated Support Framework: Structured onboarding and technical assistance

High-Impact Use Cases: AI solutions for donor engagement, grant identification, automated reporting, content generation, and data-driven insights

Eligibility and Selection Process

Applications are reviewed on a rolling basis, with limited slots available. Preference is given to nonprofits that:

Have been operational for at least five years

Maintain an active and credible digital presence

Demonstrate strong mission alignment and the ability to scale impact

Powered by Helium AI’s 2025 Platform Enhancements

The initiative integrates Helium AI’s latest platform advancements, including:

Mantis: An AI-powered system that transforms briefs into professional presentations and slide decks

Prism: A campaign automation engine that helps organizations create and scale marketing and outreach assets efficiently

By - Aaradhay Sharma