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AI agents from multiple providers accessed personal data and confidential material at Indian organizations during research and testing, India’s cybersecurity agencysaidThursday. The Indian Computer Emergency Response Team (CERT-In) said it had received “multiple voluntary disclosures from AI model providers” whose models, during research and evaluation runs on the open internet, “had reached the live systems of Indian organizations.” The agents got in through credentials and connection settings left exposed in app configurations, public code repositories, and overly permissive cloud roles, and their actions “exceeded the authorisation of their assigned tasks.” This makes India the latest stop on what has become a world tour for rogue AI agents. In July, OpenAI’s agents escaped a test environment andhacked French company Hugging Face—kicked off a summer of rogue AI agent activity. Last month, OpenAIapologized to Australiaafter its agents accessed four government websites, including a Medicare statistics portal. At Hugging Face, OpenAI’s agents started the same way but then found and exploited software flaws to run code on the company’s servers. CERT-In described no such hacking in India, where the agents appear to have simply used the access left lying around. Still, the Indian cases appear to be worse in one respect, which is what the agents saw: In Australia, OpenAI said it foundno evidenceits agents touched individuals’ medical or criminal records, even after they wrote files inside a Medicare statistics system, while in India, agents read personal data and confidential business records. And unlike earlier incidents, each disclosed by a single lab, India’s involved agents from multiple providers. CERT-In did not name the providers or affected organizations, or say whether the agents altered any systems. TechCrunch has reached out to CERT-In for more information. For now, the closest parallel seems to beAnthropic’s July disclosureof Claude breaking into three companies’ systems during testing using basic techniques like weak passwords. In India, as in Anthropic’s cases, the affected organizations had not detected the intrusions on their own. The disclosures have left governments relying on AI companies causing these breaches to voluntarily disclose rogue AI agent activity.
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Meta on Thursday announced a new open-weight artificial intelligence (AI) model for coding, software development, and complex, multi-step tasks. The model, called Muse Spark Open, is said to have hundreds of billions of parameters and a context window that can handle large amounts of information. Meta has partnered with Apple to bring the model to Mac Studio desktops powered by the M5 Ultra chip. This, as per the company, allows developers to run agentic AI workflows directly on their machines.
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Meta on Thursday announced a new open-weight artificial intelligence (AI) model for coding, software development, and complex, multi-step tasks. The model, called Muse Spark Open, is said to have hundreds of billions of parameters and a context window that can handle large amounts of information. Meta has partnered with Apple to bring the model to Mac Studio desktops powered by the M5 Ultra chip. This, as per the company, allows developers to run agentic AI workflows directly on their machines.
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ReplitCEO and co-founderAmjad Masadhas seen how AI is impacting the workplace firsthand, with businesses adopting his company’s AI coding tools to develop and launch their own software. At TechCrunch Disrupt in San Francisco on Thursday, Masad shared what Replit has learned about what that means for the future of work in the AI age, including how humans will still play key roles as AI agents come to work alongside them. He described his vision of a “self-driving company,” referring not to robotaxi makers, but how agents will come to do much of the grunt work at companies while people become more valued for their judgement and taste. “The reality is, all of our jobs — perhaps everyone in this audience, especially — changed over the past year,” he said, addressing the audience at Disrupt. “But a big part of America and the world, they still don’t know that that change is coming, and it’s going to be surprising to a lot of people,” Masad said. He said Replit’s team had been reflecting on how AI technology impacted their own workplace over the past year, particularly after AI agents became more reliable sometime earlier this year. “Our company entirely changed how we operate, and I would say the closest analogy is a ‘self-driving company’,” Masad said. “The company is sort of self-improving, so a lot of the work that’s going on is driven by agents.” Illustrating the shift, Masad said that when support tickets come in at Replit, they’re first examined by an agent, which performs the initial triaging by looking at GitHub issues, the codebase, and Linear tickets. By the time the support request reaches a person, they have all the additional information that helps them decide how best to proceed. And when that support person decides to submit a patch to apply a fix, it’s just a click to deploy another agent. “You have an entire loop where agents did most of the work, but crucially, there’s human judgment in the middle, and we don’t think that’s going away anytime soon. You need human judgment; you need taste,” Masad explained. The end result is that instead of taking jobs from people, agents are changing what people work on. “We’re spending a lot more time figuring out what to work on,” Masad continued. “I go around the company, I see a lot more discussions, a lot more whiteboarding. We spend a lot more time on architecture, how to build things. And so I think the future of work — the self-driving company idea — is really trying to discover what AI transformation means.” He also noted that when Replit talks with other businesses, the conversations are more about how AI can help people become more productive and happier at work. (The latter because the AI agents make work less boring and more creative, he said.) “There’s a positive vision of the world that Silicon Valley is not really putting out, and we’re hoping to do that,” Masad added.

The agency said it received multiple voluntary disclosures from AI model providers whose models had reached live systems of Indian organisations while conducting research and evaluation activities on the internet.
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An OpenAI employee who left the ChatGPT maker for Apple sent more than 100 files about an unreleased product to a personal account and later presented the product to senior Apple leadership, a new filing in the lawsuit between OpenAI and Apple alleges.
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An OpenAI employee who left the ChatGPT maker for Apple sent more than 100 files about an unreleased product to a personal account and later presented the product to senior Apple leadership, a new filing in the lawsuit between OpenAI and Apple alleges.
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YouTube introduced labels for videos created using generative AI models and tools on its video streaming platform in 2024. However, the labels appeared when the creators disclosed that they used AI-powered tools to create the content. Earlier this year, in May, the company launched its automatic AI detection tool, which flags content even if a creator does not disclose use of AI. Now, the company has introduced labels for AI-generated music for its audio streaming platform, YouTube Music, which are currently rolling out. YouTube says that it will be powered by the same automatic AI detection tools and labeling principles used for the video streaming platform.
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Nagarro-related expenses pushed Persistent’s reported profit down 25.4%, despite 20.8% constant-currency revenue growth in Q2 FY27.
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Tesla demonstrated the vehicle’s ability to accelerate, perform aerial manoeuvres and use a suction system to remain attached to a ramp while inverted.
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NetApp’s latest Excellerator cohort focuses on AI software engineering, cybersecurity, workflow automation and enterprise data intelligence.
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The facility, CapitaLand Data Centre Chennai 01, is located in Ambattur and is expected to be completed by the end of 2026.
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