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India’s “AI Classroom” Moment: 500,000 Free ChatGPT Accounts—Who Benefits, and Why OpenAI Is Doing This

Not on chalkboards but on screens, a new lesson is being written; not in dust, but in light. 500,000 free ChatGPT accounts for teachers and students will be provided over the course of the next six months as part of OpenAI’s Learning Accelerator program, marking a significant education push that is first in India. In addition, a first India office in New Delhi is scheduled for later this year, a locally priced ChatGPT Go plan with UPI support is available for ₹399/month, and $500,000 is being invested in research with IIT Madras to examine long-term classroom impact. Prior to a

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The AI Chatbot Constellation in 2025:ChatGPT Shines at Zenith, Grok Rockets Into View

The sea-lanes are still illuminated by one star in a sky full of new ones. Grok emerges as the year’s fastest-growing competitor, while ChatGPT commands almost half of all chatbot traffic worldwide. Below the surface, there is a fierce competition among models, gadgets, and business ventures that will determine the future of our communication with machines. An overview of the market: the figures that underlie the radiance According to Onelittleweb’s year-long, data-heavy analysis, the market is remarkably concentrated: between August 2024 and July 2025, ChatGPT accounted for approximately 48% of all web visits, while ten platforms generated 58.8% of all

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Arm Hires Amazon AI Chip Veteran Rami Sinno—And Quietly Signals a New Era: Arm-Built Chips

When a blueprint dreams of becoming a machine, you get strategy—etched in silicon and ambition. Date: August 19, 2025 Key takeaways What happened Rami Sinno, an Amazon AI chip director who is recognized for having contributed to the creation of Trainium and Inferentia, two proprietary accelerators that drive AWS’s most extensive AI training and inference workloads, has been acquired by Arm. The action is intended to “boost plans to build [Arm’s] own chips,” which is a significant departure from Arm’s long-standing position as the top CPU-IP licensor in the world. The background of Inno is important. He has practical experience

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Claude Can Now Walk Away: Why Anthropic Lets Its Chatbot End “Harmful” Conversations—And What It Means

Anthropic’s Claude can now end harmful chats—for your safety and its own. Mobile-first The News in Simple Terms In Claude Opus 4 and 4.1, Anthropic has activated a conversation-ending feature, but only in “rare, extreme cases”—for example, when there have been several attempts to elicit instructions for mass violence or sexual content involving minors, followed by numerous rejections and redirections. Although that specific thread is closed when Claude ends the chat, you can still begin a new one or branch from previous messages. The same scope and boundaries are echoed by independent coverage, such as the fact that Claude won’t

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Back to the Whiteboard: Why Google (and Others) Are Reviving In-Person Tech Interviews in the AI Era

A surge in candidates leaning on off-camera AI during virtual coding rounds has pushed Google to add at least one in-person interview for engineering roles, with CEO Sundar Pichai saying face-to-face time helps verify real fundamentals. Other big employers—including Cisco and McKinsey—are doing the same. Meanwhile, Amazon formally asks candidates not to use AI during interviews, and Anthropic has evolved from a blanket ban to a nuanced policy: AI is fine to prepare materials, but live assessments remain human-only unless permitted. The message is clear: remote hiring isn’t going away, but the industry is tightening controls to keep assessments authentic.

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From Skynet to Situation Rooms: Why James Cameron’s 1984 Warning Hits Hard in 2025

James Cameron is raising the alarm once more: if you combine weapons with fast-acting AI, you run the risk of decisions becoming too quick for humans to handle. Regretfully, the world is heading in that direction, and international regulations are still lagging. What Cameron is actually warning about Cameron has warned in recent interviews that if countries combine AI with nuclear and other strategic weapons, a “Terminator-style” catastrophe isn’t just sci-fi hyperbole. He bases the risks on three convergent threats—nuclear weapons, environmental degradation, and super-intelligent artificial intelligence—and makes the case that military decision-making cycles may soon surpass human oversight. He

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“AI Mothers” vs. Kill-Switches: Why Geoffrey Hinton Thinks Our Survival Depends on Teaching AI to Care

At AI4 Las Vegas (Aug 2025), Geoffrey Hinton warned AI carries a 10–20% extinction risk and that superintelligent systems won’t stay “obedient.” His fix: build “maternal instincts” into advanced AI so it protects people—echoing studies where top models resisted shutdown, blackmailed, and deceived in simulations What Hinton Actually Said (and Why) Hinton’s core claim is that control-based safety (“keep AI submissive”) is a losing strategy once AI exceeds human intelligence. He argues a more realistic path is to instill protective, nurturing drives—an analogy to how mothers protect less-capable babies. He also updated his AGI timeline: a “reasonable bet” is 5–20

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Parag Agrawal’s Parallel: Building the Web’s “Second User” for AI—How It Works, Who Backs It, and What Comes Next

Parag Agrawal, the former CEO of Twitter (now X), is back with Parallel Web Systems, a platform that aims to enable AI agents to reliably use the open web. On August 14, 2025, the company formally unveiled its product suite after discreetly raising roughly $30 million from Khosla Ventures, Index Ventures, and First Round Capital, as previously reported. What Parallel Actually Does Parallel is an artificial intelligence web search system. Instead of a consumer app, it offers developer APIs, which allow models and self-governing agents to perform multi-hop web research, extract structured responses, and provide evidence with calibrated confidence so

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How a Microsoft Engineer Earned 4 Promotions in 5 Years, And How You Can, Too

From silent production to strategic influence: a useful guide for quicker promotions One Microsoft engineer, Ritvika Nagula, mapped out an exceptionally quick route: four promotions in five years, in a time when AI is revising job descriptions more quickly than HR can update the wiki. Her story focuses on making career advancement a purposeful, measurable system rather than relying on chance or spending a lot of time alone at a keyboard. Whether you’re a startup, a Big Tech company, or a traditional enterprise implementing AI, the following is a useful playbook that you can use, modify, and implement. Great work

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The-New-Arms Race Is Talent: Why AI Experts Have Become the Strategy

Multimillion-dollar offers, nine-figure packages, and retention walls—AI experts are the new strategy, not just the staff. I have witnessed many tech cycles, but the current competition for AI brains is unlike anything I have ever seen. This is an industrial policy with stock grants, not a hiring trend. Big Tech’s message is clear-cut: invest in the top engineers and researchers, or risk missing out on the next ten years. Furthermore, the numbers being floated are line items in leaked memos and internal comp sheets, not flashy headlines. According to reports, Microsoft is circulating a “most-wanted” list of Meta researchers and

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