Latest AI News
Inside SpaceX’s Thin Float Sinking the IPO Rally
SpaceX went public with an incredibly thin public float, with only a tiny fraction of its total shares available to trade. When the buyers rushed in, the floor fell out.
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Google Finance App for Android Announced With AI Portfolio Tools, Real-Time Market Updates
Google on Thursday announced the Google Finance app for Android. It allows users to track watch lists, monitor real-time market data, and receive AI-generated insights. The company will also expand its capabilities to bring features like live earnings calls and today's new portfolio in the coming months. Alongside, the web experience has been upgraded with new portfolio management tools. Google says users can now access scheduled market briefings powered by AI.
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Gnani.ai Launches New Speech-to-Text Model, Claims to Outperform Global Rivals
Gnani.ai said Prisma v2.5 delivers lower word error rates for rural Hindi and noisy Dravidian speech than competing models.
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Anthropic Selects Indian IT Firm Hexaware as Authorised Reseller for Claude AI Models on Amazon Bedrock
Hexaware can now sell, integrate, and support Anthropic's Claude models for enterprise customers globally.
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India’s Sovereign AI Debate is Stuck. BharatGen’s Trillion-Parameter Plan Isn’t
Prof Ganesh Ramakrishnan says BharatGen's real north star is making its AI models affordable to as cheap as ₹5 per million tokens.
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Low-Code Platform Pegasystems Opens New Bengaluru Hub With ₹60 Cr Investment
The new facility will house an executive briefing centre to host customer engagements, product demonstrations, and strategic partner collaborations.
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Can Haryana Build GCCs Outside Gurugram? It All Comes Down to Execution
Haryana aims to attract more than 100 new GCCs and create 30,000 new jobs over the next five years.
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Reserve Bank of India Proposes Risk Management Framework For AI Models
The Reserve Bank of India proposes a risk management framework for AI models within institutions of finance and banking.
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The AI Coding Boom is Fueling an Agent Sprawl Crisis
According to OutSystems, the future of enterprise AI lies in agentic systems engineering, where applications, AI agents, enterprise data and security controls operate within a unified framework.
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After Anthropic Restrictions, US Govt Asks OpenAI to Delay GPT-5.6 Rollout: Report
OpenAI is also considering postponing its initial public offering (IPO) until 2027.
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Neysa Rejects the AI Divide as it Takes on Big Cloud With 20,000 GPUs
Neysa CEO Sharad Sanghi says inference—not model training—is emerging as the defining challenge for organisations looking to scale AI.
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The White House is asking OpenAI to slow roll the release of its new model over safety concerns
OpenAI’s release of its newest model, GPT 5.6, reportedly won’t be like its previous releases. Instead of distributing it to the public, the company plans to share it only with a select group of close partners because the Trump administration told it to,reports The Information. At a meeting this week, CEO Sam Altman reportedly told staff that the government would be “approving access customer by customer” during a preview period. Altman reportedly added that if the limited release goes well, OpenAI hopes to follow with a general, broader release a “couple of weeks later.” In other words, the Trump administration appears to be pressuring OpenAI to do what Anthropic is already voluntarily doing: keeping its most powerful AI models under wraps. According to The Information, OpenAI’s new model is not only being reviewed by the administration, but its staffers also “worked closely” with the government on the upcoming release. The agencies that reportedly asked for a limited release were the Office of the National Cyber Director and the Office of Science and Technology Policy. The Trump administration — which originally positioned itself as taking a “hands off” approach to AI — has in recent months pushed for federal oversight of new models. Earlier this month, Trumpsigned an executive orderdirecting certain AI companies to voluntarily submit new models to the government for testing and evaluation before releasing them publicly. Earlier this year, Anthropic sparked no small amount of controversy when it announced that its new frontier cyber model, Claude Mythos, wouldonly be releasedto a small coterie of partners through a program called Project Glasswing. Anthropic argued that its model was simply too powerful and could, in the wrong hands, cause more harm than good. Observers have since debated whether Anthropic’s rhetoric is a mere marketing gimmick or a legitimate attempt to keep a powerful model from being misused. The answer may be somewhere in between. Cybercriminals have used automated tools fora very long time, but in the age of generative AI, they now have more digital ammunition than ever before. LLMs have proven adept atwriting malware, and some can evenexecute entire ransomware attacksautonomously. The specific concern with frontier cyber tools like Mythos is that they are ostensibly capable of both identifying and exploiting software vulnerabilities at speeds that no human analyst could match. Since many software systems contain hidden bugs that act as entry points into enterprise networks, this obviously poses an obvious and significant problem for any organization running complex software infrastructure. That said, since these models remain closed to the public, it’s difficult to tell just how much of a threat they really are.
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