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AI NewsOpenAI pushes into higher education as India seeks to scale AI skills

OpenAI pushes into higher education as India seeks to scale AI skills

8:15 PM IST · February 18, 2026

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 over100 million monthly active usersin 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 anAI Impact Summitin 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 thehighest global usage of its Gemini tools for learning. Microsoft, similarly, said this week it wouldexpand its Elevate skilling programin 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.

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What is Mistral AI? Everything to know about the OpenAI competitor

What is Mistral AI? Everything to know about the OpenAI competitor

Following the Trump directive that led Anthropic topull its latest AI models offlineand growing calls forsovereign tech that reduces reliance on the U.S.,Mistral AIhas been caught in a whirlwind of attention. But the French AI darling is often misunderstood, and the fact that it develops large language models (LLMs) has muddied the picture. Anyone who judges Mistral by how close it is to becoming ‘the OpenAI from Europe’ is in for disappointment. Its chat and agent Vibe, formerlyLe Chat, only has an ounce of ChatGPT’s brand recognition, and Claude is more popular than Mistral’s modelseven among founders based at Station F, Paris’ startup campus. On the other hand, casual observers tend to miss that the French decacorn is following the Palantir playbook, with forward-deployed engineers that help governments and large corporations adopt AI and tailor it for their use cases. This approach is also better suited for Mistral’s means. While the company is rumored to be raisingsome $3.5 billion at a $23.15 billion valuation, nearly doubling its current valuation, that’s still far less than U.S. frontier labs. But its revenues have also ramped up; in February, it disclosed that its annual recurring revenue was nowabove $400 million, up from $20 million just one year earlier, and claimed it was on track to surpass $1 billion in ARR this year. This has helped Mistral gain a seat at the table in places like Davos, and even in rooms where tech CEOs have a hard time getting their message across, such asthe French Parliament. Mistral CEO Arthur Mensch has becomea public ambassador for a certain vision of AI, but he still has some evangelizing to do when it comes to explaining his own company. In a lengthyLinkedIn post, Mensch broke down what the Paris-based company has been doing “for a living” — deploying its models and agent platform on the infrastructure of its Enterprise customers, and helping them build custom models withForge, a platform that lets them use their own data for training. However, misunderstandings and bigger hopes around Mistral don’t stem out of thin air. Named after a wind, the company pursues a grand vision. “We exist to make sure that everyone gets access to the best AI systems, outside of centralized control exercised by states or corporations that feel the need to control in-fine deployment of AI,” Mensch wrote. This vision means that Mistral is looking beyond the enterprise. It also aims to keep on making big investments into research to keep up with foundational AI rivals — and Mensch’s post also covered where he thinks the company stands in that regard. “Today, we do not yet own the best language models, but we’ve constantly reduced that gap. We have a very exciting model to come this summer – it will be open-weight, and we’re opening early access to it in July. In domains that are less compute bound, e.g. voice, vision and document processing, we have state-of-the-art solutions,” Mensch claimed. Mistral’s upcoming model has already generatedsome buzz on X, where Mensch and Mistral backer Marc Andreessen haveengaged with jokesand amplified memes on what we now know won’t be called “Le Chaton Fat.” That’s another sign that the world — especially “the rest of the world” — is keeping an eye out for whatever Mistral has in its bag. The most interesting part may be happening behind the scenes. Earlier this year, Mistralacquired infrastructure startup Koyebto further boost its plans to build “a true AI cloud. The company also announced a€4 billion investment strategy(around $4.56 billion) to build data centers in France and Sweden — and the sovereignty undertones are never very far. “We’re building under the premise that AI technology is a commodity technology that every organization needs a secured and affordable supply of,” Mensch wrote. If you are curious to learn more, keep on reading. Mistral’s three founders share a background in AI research at major U.S. tech companies that have operations in Paris. Before becoming Mistral’s CEO, Mensch used to work at Google’s DeepMind; CTO Timothée Lacroix and chief scientist officer Guillaume Lample are former Meta staffers. Mistral also granted the title of co-founding advisers to the cofounders of health insurance startupAlan, Charles Gorintin andJean-Charles Samuelian-Werve(also a board member). In addition, it recently appointed three new executives to support its growth: Johan Bergqvist as Chief Financial Officer, Brian Hall as Chief Marketing Officer and Kamal Brar as SVP, Partners & Alliances. Mistral has developed abroad suite of modelsranging from LLMs to multimodal, reasoning, audio andOCRmodels. Not all of its models emphasize size; there’s the tellingly named Mistral Small 4 and “Les Ministraux,” a family of modelsoptimized for edge devicessuch as phones. Some are open weights, and it alsomade code agent Leanstral open source. In 2024, Mistralsigned a deal with Microsoftthat included a €15 million investment and a strategic partnership for distributing the French company’s AI models through Microsoft’s Azure platform. In May 2025, Mistral said it would participate in the creation ofan AI Campus in the Paris region, as part of a joint venture with UAE investment firm MGX, NVIDIA, and France’s state-owned investment bankBpifrance. In June 2025, Mistral said it would launch a European platform dedicated to AI and powered by Nvidia processors,Mistral Compute, in 2026. The initiative washailed as “historic”by France’s president, Emmanuel Macron, who shared the stage with Mensch and Nvidia CEO Jensen Huang at the VivaTech conference shortly after the announcement. In July 2025, Mistral launchedAI for Citizens, an initiative that the company claimed could “help States and public institutions strategically harness AI for their people by transforming public services.” In September 2025, Mistral and chip company ASMLstruck a partnership“to explore the use of AI models across ASML’s product portfolio as well as research, development and operations.” Mistral also secured strategic partnerships with the likes ofAccenture,press agency Agence France-Presse, France’sarmyandjob agency,Luxembourg,shipping giant CMA, German defense tech startupHelsing,IBM,Orange, andStellantis. Most of Mistral AI’s funding to date wasdebt financing, but the company has also raised several venture funding rounds, with a grand total around $4 billion, according toCrunchbase. In June 2023, just one month after being founded, Mistral AI raised arecord $113 million seed roundled by Lightspeed Venture Partners. Sources at the time said the seed round,Europe’s largest ever, valued the startup at $260 million. Other investors in that round included Bpifrance, Eric Schmidt, Exor Ventures, First Minute Capital, Headline, JCDecaux Holding, La Famiglia, LocalGlobe, Motier Ventures, Rodolphe Saadé, Sofina, and Xavier Niel. Six months later, Mistral closed a€385 million Series A($415 million at the time), at a reported valuation of $2 billion. The round was led by Andreessen Horowitz (a16z) and saw participation from Lightspeed, as well as BNP Paribas, CMA-CGM, Conviction, Elad Gil, General Catalyst, and Salesforce. Microsoft’s$16.3 million convertible investmentin Mistral as part of a partnership announced in February 2024 was presented as a Series A extension, implying an unchanged valuation. In June 2024, Mistral raised€600 million (about $640 million) in a mix of equity and debt. Thelong-rumored roundwas led by General Catalyst at a $6 billion valuation, with notable investors including Cisco, IBM, Nvidia, and Samsung Venture Investment Corporation participating. In September 2025, Mistral closed a €1.7 billion Series C round (about $2 billion) led by ASML at a €11.7 billion valuation (approximately $13.8 billion), with participation from existing backers DST Global, a16z, Bpifrance, General Catalyst, Index Ventures, Lightspeed, and Nvidia. In addition toinfrastructure startup Koyeb, Mistral has also boughtEmmi, an Austrian startup focusing on physics AI, with the ambition to better support industrial enterprises in their AI transformation. While Mistral has yet to design its own chips, Menschisn’t ruling it out. “Owning the chips may come, I think it should come at some point, but for now we are relying on Nvidia, which is a great partner to us, and we’re testing a few things here and there,” he told CNBC. Mistral is “not for sale,”Mensch said in January 2025 at the World Economic Forum in Davos. “Of course, [an IPO is] the plan.” This makes sense, given how much the startup has raised so far: Even a sale to arumored prospective buyer like Applemay not provide high enough multiples for its investors, not to mention sovereignty concerns depending on the acquirer. This story was originally published on February 28, 2025, and will be regularly updated.

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Alibaba reportedly bans employees from using Claude Code

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China’s Alibaba will ban employees from using Anthropic’s programming tool Claude Code, starting on July 10, according tomultiplereports. Anthropic already prohibits Chinese companies, as well as foreign entities owned by those companies, from using its models. The company has reportedly beenworking to close loopholesthat allow Chinese users to access Claude. According toa recent Reddit post, some of that loophole-closing involved a version of Claude Code that could secretly identify Chinese users. Anthropic’s Thariq Shihiparsaid in a post on Xthat this was “an experiment we launched in March that was meant to prevent account abuse from unauthorized resellers and protect against distillation.” (Distillationis a practice where AI models are trained on the outputs of other models.) “The team has landed stronger mitigations since then and we’ve actually been meaning to take this down for a while,” Shihipar said. Nonetheless, Alibaba has reportedly classified Claude Code as high-risk software and is instructing employees to use the company’s own Qoder tool instead.

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Midjourney wants Hollywood studios to reveal the details of their AI usage

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In Swiggy's Developer Community, Some are Planning Parties, Other are Prepping Meals

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Swiggy is enabling developers to build health assistants, accessibility tools, and conversational shopping agents.

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