Tech
OpenAI pushes into higher education as India seeks to scale AI skills
OpenAI is expanding its footprint in India and moving into the country’s higher-education system through partnerships with leading academic institutions. The move comes as the South Asian nation seeks to scale AI skills and build domestic capacity in one of the world’s largest talent markets.
On Wednesday, OpenAI said it was partnering with six public and private higher-education institutions in India, including top engineering, management, medical, and design-focused institutes, with the aim of reaching more than 100,000 students, faculty, and staff over the next year.
Rather than focusing on consumer use, the initiative centers on integrating AI into core academic functions, signalling OpenAI’s interest in influencing how AI is taught, governed, and normalized within one of the world’s largest higher-education systems.
OpenAI has already built a large consumer audience for its ChatGPT chatbot, which has over 100 million monthly active users in India, according to CEO Sam Altman, and India has emerged as the company’s second-largest user base after the U.S. The announcement also coincides with a broader push by leading AI firms to deepen their presence in India, which is hosting an AI Impact Summit in New Delhi this week.
The first cohort of partners includes some of India’s most influential academic institutions, such as the Indian Institute of Technology Delhi, the Indian Institute of Management Ahmedabad, and the All India Institute of Medical Sciences New Delhi, alongside private universities and specialised design schools. The ChatGPT maker said the partnerships would span disciplines ranging from engineering and management to healthcare and creative fields.
India has already emerged as a key testing ground for AI use in education. Last month, Google said India accounts for the highest global usage of its Gemini tools for learning. Microsoft, similarly, said this week it would expand its Elevate skilling program in India to train teachers across schools, vocational institutes, and higher-education settings, working with government agencies as part of a broader push to build AI skills at scale.
OpenAI said the partnerships would involve campus-wide access to its ChatGPT Edu tools, faculty training, and responsible-use frameworks. The focus, the company said, is on embedding AI into core academic workflows such as coding, research, analytics, and case analysis, rather than offering standalone access to tools.
Two of the partner institutions, the Indian Institute of Management Ahmedabad and Manipal Academy of Higher Education, will also introduce OpenAI-backed certifications. Additionally, OpenAI said it would work with Indian ed-tech platforms, including PhysicsWallah, upGrad, and HCL GUVI, to extend AI training beyond campuses. These platforms will launch structured courses on AI fundamentals and ChatGPT use cases, aimed at students and early-career professionals.
Raghav Gupta, head of education at OpenAI India, said educational institutions were a “critical route” to closing the gap between rapidly advancing AI tools and how people are actually using them, as skills demands shift across the economy.
Last year, OpenAI hired Gupta, a former Coursera Asia-Pacific managing director, as its India and Asia-Pacific head of education, alongside the launch of a Learning Accelerator programme focused on expanding AI skills.
The flurry of moves into education underscores how AI companies are increasingly looking beyond consumer tools and corporate clients toward institutions that shape skills, norms, and long-term adoption. For countries like India, the contest is not just around access to AI, but also about who helps define how it is taught, governed, and embedded at scale.
Tech
Tesla dodges 30-day suspension in California after removing ‘Autopilot’
The California Department of Motor Vehicles will not suspend Tesla’s sales and manufacturing licenses for 30 days because the EV maker has stopped using the term “Autopilot” in the marketing of its vehicles in the state.
The decision, issued late Tuesday, means Tesla can continue selling its EVs in California without interruption and officially settles a case that has been dragging on for nearly three years. California is Tesla’s biggest U.S. market.
In November 2023, the DMV filed accusations that Tesla violated state law by using deceptive marketing of Autopilot, its basic advanced driver-assistance system, as well as its more capable Full Self-Driving driver-assistance software. The state regulator argued that the terms misled customers and distorted the capabilities of the advanced driver-assistance systems.
Tesla stopped using the term “Full Self-Driving Capability” and instead used Full Self-Driving (Supervised) to more accurately describe the system and clarify that drivers were still required to monitor it. But Tesla held on to the Autopilot term, prompting the DMV to refer the case to an administrative law judge at the California Office of Administrative Hearings.
In December, the administrative law judge agreed with the DMV’s request to suspend Tesla’s sales and manufacturing licenses in the state for 30 days as a penalty for its actions. The DMV agreed with the ruling but didn’t pounce; instead, the state regulator gave Tesla 60 days to comply.
“Since then, Tesla took corrective action and has stopped using the misleading term ‘Autopilot’ in the marketing of its electric vehicles in California,” the DMV stated in a release posted on its website. “Tesla had previously modified its use of the term ‘Full Self-Driving’ to clarify that driver supervision is required. By taking this prescribed action, Tesla will avoid having its dealer and manufacturer licenses suspended in the state for 30 days by the DMV.”
Tesla didn’t just stop using the term Autopilot, though. In January, the company discontinued Autopilot in the U.S. and Canada altogether. The move not only helped it comply with the DMV but was also viewed as a way to boost adoption of FSD, which, unlike Autopilot, requires the owner to pay for the upgraded system.
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FSD Supervised, which until February 14 required an $8,000 one-time fee, is now only available through a monthly subscription of $99. That subscription fee is expected to increase as the system becomes more capable, Tesla CEO Elon Musk has said.
Tech
U.S. court bars OpenAI from using ‘Cameo’
A federal district court in Northern California ruled in favor of Cameo, a platform that allows users to get personalized video messages from celebrities and ordered OpenAI to stop using “Cameo” in its products and features.
OpenAI was using the “Cameo” name for its AI-powered video-generation app Sora 2. Users could use that feature to insert digital likenesses of themselves into AI-generated videos. In a ruling filed Saturday, the court said the name was similar enough to cause user confusion and rejected OpenAI’s argument that “Cameo” was merely descriptive, finding that “it suggests rather than describes the feature.”
In November, the court granted a temporary restraining order to Cameo and stopped OpenAI from using the word. The AI company then renamed the feature to “Characters” after that order.
“We have spent nearly a decade building a brand that stands for talent-friendly interactions and genuine connection, and we like to say that ‘every Cameo is a commercial for the next one,” Cameo CEO Steven Galanis said in a statement.
“This ruling is a critical victory not just for our company, but for the integrity of our marketplace and the thousands of creators who trust the Cameo name. We will continue to vigorously defend our intellectual property against any platform that attempts to trade on the goodwill and recognition we have worked so hard to establish,” he noted.
“We disagree with the complaint’s assertion that anyone can claim exclusive ownership over the word ‘cameo,’ and we look forward to continuing to make our case,” an OpenAI spokesperson told Reuters in response to the ruling.
OpenAI has been involved in several intellectual property cases in recent months. Earlier this month, the company ditched “IO” branding around its upcoming hardware products, according to court documents obtained by Wired. In November, digital library app OverDrive sued OpenAI over its use of “Sora” for its video-generation app. The company is also in legal disputes with various artists, creatives, and media groups in various geographies over copyright violations.
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DG Matrix raises $60M to make data center power smarter
Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology.
Traditional transformers are bulky and hot, but a new generation of solid-state transformers promises to address both problems while making power management more flexible.
One solid-state transformer startup, DG Matrix, has raised $60 million in a Series A round, TechCrunch has exclusively learned. Engine Ventures led the round with ABB, Cerberus Ventures, Chevron Technology Ventures, Clean Energy Ventures, Fine Structure Ventures, Helios Climate Ventures, MCJ, and Piedmont Capital participating.
The company also recently announced a deal to provide its Interport device to Exowatt, the startup building solar-plus-storage containers to supply data centers with 24/7 electricity.
The Interport device acts as a router for power, Subhashish Bhattacharya, co-founder and CTO of DG Matrix, told TechCrunch. One Interport can handle up to 2.4 megawatts of connections. For example, it could accumulate 600 kilowatts from solar panels and 600 kilowatts from grid-scale batteries to feed power to 12 racks drawing 100 kilowatts each.
Because Interport can integrate electricity from a variety of sources, including large batteries, DG Matrix says it can eliminate uninterruptible power supplies (UPS) and the equipment needed to support them.
Altogether, one Interport can cut down the amount of space devoted to power conversion in a data center. Two 4-by-30-foot skids laden with power conversion equipment can be replaced by a single four-by-four-foot Interport device, DG Matrix co-founder and CEO Haroon Inam told TechCrunch.
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By eliminating several devices, the company can boost the system’s overall efficiency. All the legacy devices chained together can achieve about 82% to 90% efficiency, Inam said, while Interport is 95% to 98% efficient. He said that reliability should improve, too. “When you are using only 10%, 15% of the components that legacy is using, you’re going to be far more reliable,” he added.
DG Matrix is in the process of rolling out initial units to customers in June. Its next product will be a sidecar to supply data center racks with power that builds on the technology the company has already developed.
Currently, data centers represent about 90% of DG Matrix’s pipeline, with the remainder devoted to EV charging for fleets. Inam said the next step is to expand into building power and add more capacity to build micro- and mini-grids to support electrification projects in remote communities. There, Interports would orchestrate power from solar, wind, and batteries to provide round-the-clock electricity without a grid connection.
“Nobody’s going to build a $100 million transmission line to a village,” Inam said. “Now you can spend a fraction of that money and help eliminate energy poverty.”
