Latest AI News
ROHM Partners with Suchi Semicon to Create Early-Stage Manufacturing Base in India
ROHM will consider outsourcing back-end processes for power devices and IC products to Suchi Semicon.
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India’s Supabase Block Leaves Developers and Startups Scrambling
India is one of the fastest-growing developer markets on Supabase, accounting for over 10% of all visits.
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upGrad Integrates OpenAI Stack Across Edtech Curricula
In a major push to mainstream applied AI skills, upGrad is embedding OpenAI’s latest tools across its accredited programmes.
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Why NIIT is No Longer on the Street Corner
Enterprise now drives 62% of NIIT’s revenue as it pivots to AI-led, outcome-linked workforce transformation.
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Stay Indoors: Indian IT Issues Advisory to MEA Employees as Iran War Intensifies
With several hundred employees in the Middle East, the region is a growth market for Indian IT firms.
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TCS Expands Zscaler Partnership with AI-Powered Workspace Experience Studio
The new solution integrates Zero Trust security, observability and AI analytics for digital workspaces.
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Groww Unveils AI Assistant for Investing, Expands Bonds and Trading Tools
Groww also introduced a retail bond marketplace, high-frequency trading mode, F&O risk safeguards, and family wealth accounts.
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Indian Markets Slide as Iran Tensions Weigh Heavy on Energy, Oil & Gas Stocks
Nifty 50 dropped 1.3%, while oil & gas gauges fell over 2% amid a broad-based selloff.
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OpenClaw Overtakes React in Total GitHub Stars
OpenClaw reached over 2,45,000 stars, overtaking React, which currently has 2,43,000 stars.
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Inside India's New VC Playbook: Think Exit First, Invest Later
Seasoned investors are now focusing on calculated exits, planning early exits and prioritising certainty over market sentiment.
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OpenAI reveals more details about its agreement with the Pentagon
By CEO Sam Altman’s own admission, OpenAI’s deal with the Department of Defense was “definitely rushed,” and “the optics don’t look good.” Afternegotiations between Anthropic and the Pentagon fell throughon Friday, President Donald Trump directed federal agencies to stop using Anthropic’s technology aftera six-month transition period, and Secretary of Defense Pete Hegseth said he was designating the AI company as a supply-chain risk. Then,OpenAI quickly announcedthat it had reached a deal of its own for models to be deployed in classified environments. With Anthropic saying it was drawing red lines around the use of its technology in fully autonomous weapons or mass domestic surveillance, and Altman saying OpenAI had the same red lines, there were some obvious questions: Was OpenAI being honest about its safeguards? Why was it able to reach a deal while Anthropic was not? So as OpenAI executives defended the agreement on social media, the company also publisheda blog post outlining its approach. In fact, the post pointed to three areas where it said OpenAI’s models cannot be used — mass domestic surveillance, autonomous weapon systems, and “high-stakes automated decisions (e.g. systems such as ‘social credit’).” The company said that in contrast to other AI companies that have “reduced or removed their safety guardrails and relied primarily on usage policies as their primary safeguards in national security deployments,” OpenAI’s agreement protects its red lines “through a more expansive, multi-layered approach.” “We retain full discretion over our safety stack, we deploy via cloud, cleared OpenAI personnel are in the loop, and we have strong contractual protections,” the blog said. “This is all in addition to the strong existing protections in U.S. law.” The company added, “We don’t know why Anthropic could not reach this deal, and we hope that they and more labs will consider it.” After the post was published,Techdirt’s Mike Masnick claimedthat the deal “absolutely does allow for domestic surveillance,” because it says the collection of private data will comply withExecutive Order 12333(along with a number of other laws). Masnick described that order as “how the NSA hides its domestic surveillance by capturing communications by tapping into lines *outside the US* even if it contains info from/on US persons.” Ina LinkedIn post, OpenAI’s head of national security partnerships Katrina Mulligan argued that much of the discussion around the contract language assumes “the only thing standing between Americans and the use of AI for mass domestic surveillance and autonomous weapons is a single usage policy provision in a single contract with the Department of War.” “That’s not how any of this works,” Mulligan said, adding, “Deployment architecture matters more than contract language […] By limiting our deployment to cloud API, we can ensure that our models cannot be integrated directly into weapons systems, sensors, or other operational hardware.” Altman also fielded questions about the deal on X, where headmitted it had been rushedand resulted in significant backlash against OpenAI (to the extent thatAnthropic’s Claude overtook OpenAI’s ChatGPT in Apple’s App Storeon Saturday). So why do it? “We really wanted to de-escalate things, and we thought the deal on offer was good,” Altman said. “If we are right and this does lead to a de-escalation between the DoW and the industry, we will look like geniuses, and a company that took on a lot of pain to do things to help the industry. If not, we will continue to be characterized as […] rushed and uncareful.”
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Google looks to tackle longstanding RCS spam in India — but not alone
As persistent spam complaints have clouded Google’s Rich Communication Services (RCS) push in India, the company is turning to deeper carrier integration to bolster protections on the platform. On Sunday, Bharti Airtel, India’s second-largest telecom operator with over 463 million subscribers, said it had partnered with Google to integrate the carrier’s network-level spam filtering into the RCS ecosystem in the country. The move is aimed at strengthening protections against unwanted messages and fraud on the platform, the companies said. India hasemerged as a particularly challenging marketfor spam and fraud across messaging channels, driven by the country’s vast mobile user base, rapid growth in digital payments, and aggressive enterprise marketing practices. In 2022, complaints about unsolicited ads on Google’s RCS — delivered primarily through the Google Messages app — were significant enough to prompt the company totemporarily pause business promotionson the platform in India. However, some userscontinue to report frustrationwith spam messages on Google Messages, suggesting theissue has not fully abated. Airtel said it had been cautious about deeper alignment with Google’s RCS until traffic could be routed through its own spam controls, highlighting carrier concerns about rising fraud risks. “We had not onboarded Google because we first wanted RCS messages to be routed through the Airtel spam filter,” an Airtel spokesperson said. Under the partnership, Airtel’s network intelligence will be combined with Google’s RCS platform to enable real-time checks on business messaging, including sender verification, spam detection, and enforcement of users’ do-not-disturb preferences. Airtel described the move as a “global first” for integrating a telecom operator’s spam filtering directly into an over-the-top messaging platform, though the companies did not provide comparative details. “We are committed to continuing to work with the broader ecosystem of carriers to create a consistent and trusted messaging experience for RCS users around the world,” Sameer Samat, president of Android ecosystem at Google, said in a statement. The comment signals the company may look to extend the model beyond India as it works to standardize security across the RCS ecosystem. India represents a critical market for Google’s messaging ambitions, with more than a billion internet users and over 700 million smartphone users. The country is also home toover 853 million WhatsApp users, according to World Population Review, underlining the scale of competition in mobile messaging. Prabhu Ram, vice president for the industry research group at CyberMedia Research, said the deeper carrier integration reflects efforts to plug longstanding weaknesses in rich messaging ecosystems that have been vulnerable to spam and fraud. “The efficacy of this partnership should be reflected in metrics such as reductions in spam volume, user complaints, and fraud incidence, as well as improvements in engagement with legitimate messages,” Ram told TechCrunch. Airtel has beenstepping up its anti-spam effortsover the past year, saying its AI-led systems have blocked more than 71 billion spam calls and 2.9 billion spam messages, helping drive a nearly 69% drop in fraud-related financial losses on its network. More broadly, Google has been positioning RCS as the successor to SMS, saying in May 2025 that the standard was handlingmore than a billion messages daily in the U.S., based on a 28-day average. Google did not say whether similar carrier integrations are planned for other markets or provide estimates for how much the move could reduce spam and fraud.
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