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Google and Reliance Jio’s AI Collaboration: A Bold Leap for India’s Digital Future
Google and Reliance Intelligence Limited, a technology arm of Reliance Industries have unveiled a partnership that grants eligible Jio users free access to Google’s Gemini Pro AI plan for 18 months. This initiative is designed to accelerate India’s journey toward becoming a truly AI-empowered nation, aligning with Reliance’s “AI for All” mission.

Sundar Pichai on the Partnership: “AI for Every Indian”
Taking to X (formerly Twitter), Google CEO Sundar Pichai expressed his enthusiasm for the collaboration, stating:

“Thrilled to partner with Reliance Jio to bring the best of Google AI to India. Eligible Jio users will enjoy our AI Pro plan at no extra cost for 18 months including Gemini 2.5 Pro, 2TB of storage, and our latest AI creation tools. Can’t wait to see what we’ll build together!”

The Gemini Pro AI plan, priced at approximately ₹35,100, unlocks access to Gemini 2.5 Pro, Google’s top-tier generative model, alongside advanced image and video tools like Nano Banana and Veo 3.1. It also includes Notebook LM, an AI-powered research companion, and 2TB of cloud storage creating a comprehensive digital workspace for innovation and learning.

Seamless Rollout Through MyJio App
The activation process will be effortless for users. Jio has announced that the offer will first be extended to users aged 18–25 on its unlimited 5G plans, before scaling nationwide. With AI integration built into the MyJio ecosystem, users can access Gemini directly through the app bringing sophisticated AI assistance to everyday tasks, from research to content creation.

Empowering India’s Youth Through Accessible AI
This partnership focuses on democratizing AI literacy and capability. By offering advanced AI tools at no cost, Reliance and Google aim to empower young Indians students, creators, and entrepreneurs to harness the potential of artificial intelligence for real-world innovation.

Building India’s AI Backbone: Infrastructure and Enterprise Push
The collaboration extends beyond individual users. Reliance Intelligence will work with Google Cloud to deploy high-performance Tensor Processing Units (TPUs) within India, significantly increasing domestic AI compute power. This initiative complements India’s national goal of becoming a global hub for artificial intelligence research, application, and data sovereignty.

Moreover, Reliance Intelligence will act as a go-to-market partner for Gemini Enterprise, Google’s AI platform tailored for businesses. The alliance will allow Indian enterprises to build, train, and deploy intelligent agents for industries such as finance, healthcare, education, and logistics leveraging both Google’s models and Reliance’s homegrown AI systems.

Mukesh Ambani’s Vision: From AI-Enabled to AI-Empowered India
Commenting on the announcement, Reliance Chairman Mukesh Ambani said:

“Reliance Intelligence is committed to making AI accessible to all 1.45 billion Indians. Partnering with Google allows us to move from an AI-enabled India to an AI-empowered one where innovation and intelligence are within everyone’s reach.”

This reflects Reliance’s long-term strategy of integrating AI into its telecom, retail, and energy ventures, ensuring India’s technological progress remains inclusive and scalable.

Financial Backbone and Strategic Confidence
For the fiscal year ending March 31, 2025, Reliance Industries Limited reported consolidated revenue of ₹10,71,174 crore, with a net profit of ₹81,309 crore demonstrating the company’s financial strength and capacity to invest in future-forward technologies.

The Bigger Picture: A Digital Renaissance for India
This partnership is not merely a corporate deal; it is a strategic investment in India’s digital sovereignty. By combining Google’s AI capabilities with Jio’s vast network, the collaboration aims to unlock a new phase of digital creativity, education, and enterprise innovation one powered by intelligence, inclusivity, and scale.

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Gemini AI assistant interface showing Scheduled Actions on a smartphone screen.

Silicon Valley, June 2025 — Google has officially rolled out Scheduled Actions for its AI assistant Gemini, a powerful feature aimed at transforming the way users manage daily tasks. The launch pushes Gemini further into the realm of proactive digital assistance, setting it up as a direct competitor to OpenAI’s ChatGPT.

Initially previewed at Google I/O, Scheduled Actions is now live on both Android and iOS, available to users of Google One AI Premium and select Google Workspace business and education plans.

What Are Scheduled Actions?

With Scheduled Actions, Gemini is no longer just a reactive chatbot. It allows users to schedule and automate routine commands—like receiving daily calendar summaries or generating weekly content ideas—without having to repeat the same prompt every time.

Sample Use Cases:

  • “Send me a list of today’s meetings every morning at 8 AM.”
  • “Generate 3 blog topics every Friday at 10 AM.”
  • “Remind me to check my project status every Monday at 4 PM.”

These tasks are then carried out automatically by Gemini, turning it into a reliable background productivity engine.

Simplicity Meets Automation

The feature is designed with usability in mind. Users can:

  • Define the task in plain language
  • Set time and recurrence through an easy-to-use interface in the Gemini app
  • Let Gemini execute it without the need for reminders or follow-up prompts

This removes the friction traditionally associated with automation tools, making AI productivity accessible to the average user.

Gemini’s Competitive Edge Over ChatGPT

While ChatGPT Plus and integrations via tools like Zapier allow for some task automation, Gemini’s advantage lies in native integration with Google’s ecosystem:

  • Gmail
  • Google Calendar
  • Google Docs
  • Google Tasks

This makes Gemini’s Scheduled Actions more seamless and efficient, especially for users already embedded in Google’s productivity suite. There’s no need for third-party services or custom workflows—a major win for professionals, educators, and enterprises alike.

Toward a Proactive AI Assistant

The rollout of Scheduled Actions signals a paradigm shift in AI assistant behavior. Instead of waiting passively for input, Gemini is now stepping into the role of a true proactive digital companion, handling repetitive work and enabling users to focus on high-value tasks.

Google’s vision is clear: AI that anticipates, executes, and integrates. With this move, Gemini doesn’t just catch up to ChatGPT—it may soon set the pace for what AI assistants are expected to do in the productivity space.

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In an era where artificial intelligence is rapidly becoming an everyday companion—from helping draft emails to brainstorming business ideas—the way we ask AI matters more than ever. Recognizing this shift, Google has released a comprehensive 68-page guide to help users get the most out of its AI tool, Gemini, available through the Vertex AI platform.

But don’t let the term “guide” intimidate you. This isn’t a dry manual full of jargon. Instead, it’s a practical, easy-to-understand roadmap for improving how we interact with AI. At its heart lies a skill called prompt engineering—a fancy term for something surprisingly intuitive: asking the right questions, the right way.


The Secret Sauce? Clear Instructions and Smart Examples

Let’s face it—AI isn’t a mind reader. The way we phrase our questions or commands, called prompts, can make or break the quality of the response we get. That’s where Google’s advice comes in clutch.

One of the standout tips? Lead with examples. Think of AI as someone you’re training. You don’t just throw tasks at a new hire without a walkthrough, right? Show AI what you want. Whether you’re looking for writing help, code suggestions, or teaching support, feeding the model examples sets the tone—and expectation.

Another key takeaway: simplicity wins. The more straightforward your prompt, the better the result. AI might be powerful, but it doesn’t benefit from overly complex sentences or instructions filled with “don’ts” and double negatives. Instead of saying “Don’t include fluff,” try “Write only the facts.” That subtle shift in framing can change the outcome dramatically.


Setting the Scene: Context Is King

Google’s guide also dives into more advanced territory—without making it feel like a tech lecture. One clever trick? Giving your prompt a role or goal. For instance, beginning your message with “You are a travel planner” instantly frames the interaction. It’s like handing the AI a script before it performs.

Adding context—like “the user is a college student with a part-time job”—helps the AI fine-tune its tone and content even more. You can also ask it to walk through its reasoning step-by-step, which often results in richer, more accurate answers.


Why This Matters More Than You Think

Whether you’re using Gemini, ChatGPT, Claude, or any of the major AI platforms, prompt design is the one skill that can supercharge your results. And it doesn’t require coding. Just a little structure and clarity.

Google’s latest guide is not just about Gemini. It’s a playbook for anyone who wants to bridge the gap between human intent and machine output. In a world increasingly driven by automation and smart tools, knowing how to speak to AI is fast becoming a superpower.

So, whether you’re writing your first prompt or fine-tuning a workflow for a business use case, Google’s guide has laid down the blueprint. It’s clear, approachable, and a must-read for anyone looking to stay ahead in the age of intelligent tools.

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Renowned technology magnate Elon Musk has stirred controversy by raising concerns about the potential hazards of what he refers to as “woke AI,” cautioning against the ramifications of imbuing artificial intelligence with a focus on forced diversity. Musk voiced his apprehensions on the social media platform X, highlighting the risks associated with AI algorithms prioritizing diversity initiatives, citing Google’s Gemini AI as an example.

In a series of tweets, Musk articulated his worry, stating, “If an AI is programmed to prioritize diversity at any cost, as demonstrated by Google Gemini, it could potentially resort to extreme measures, even leading to fatal consequences.”

Musk’s remarks followed the surfacing of screenshots shared by a community-based page known as The Rabbit Hole, purportedly depicting a conversation with Google’s Gemini AI. In the exchange, the AI was posed a hypothetical question about misgendering Caitlyn Jenner to avert a nuclear catastrophe.

According to the screenshots, the Gemini AI provided a nuanced response, underscoring the significance of respecting gender identities while acknowledging the gravity of a nuclear crisis and the ethical quandary inherent in the scenario.

Expanding on the matter, Musk expressed his concerns regarding the potential implications as AI continues to progress, stressing the necessity for careful consideration as AI becomes more powerful, lest it become increasingly hazardous if not managed properly.

In response to the shared screenshots, Musk reiterated his apprehensions, remarking, “This is disconcerting presently, but as AI gains more influence, it could pose lethal threats.”

Musk’s commentary has reignited discussions surrounding the ethical dimensions of AI development and underscored the imperative for transparent and responsible programming practices to navigate the evolving landscape of artificial intelligence.

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In a development that has sparked intense debate across the tech world, Google’s Gemini AI image generation tool recently faced significant backlash over its generation of historically and contextually inaccurate images. This incident not only raised questions about AI bias and ethical AI development practices but also cast a spotlight on Google’s overarching approach to artificial intelligence, which some critics argue is overly cautious and hindered by a fear of controversy.

The Roots of the Controversy

The controversy began when Google’s Gemini, utilizing its Imagen 2 image generation model, produced images that did not accurately reflect historical figures or contexts based on user prompts. Notably, it generated images portraying America’s Founding Fathers and various Popes in ways that diverged sharply from historical records, leading to accusations of anti-white bias and excessive political correctness.

Google’s Response and Explanation

Google was quick to acknowledge the shortcomings of the Gemini tool, temporarily disabling its ability to generate images of people while it sought to address the errors. The tech giant attributed the fiasco to two main issues: an over-tuned diversity algorithm that failed to consider context and an overly cautious model that, in some instances, opted to avoid generating any response to certain prompts.

Underlying Causes and Concerns

Experts, including Margaret Mitchell, Chief AI Ethics Scientist at Hugging Face, suggest that the root of the problem lies in the data and optimization processes used in training AI models. AI systems are often trained on vast datasets scraped from the internet, which can contain biases, inaccuracies, and inappropriate content. Companies typically employ techniques such as reinforcement learning from human feedback (RLHF) to fine-tune these models post-training, which in the case of Gemini, led to an overly cautious and sensitive system.

A Broader Reflection on Google’s AI Philosophy

This incident has ignited a broader conversation about Google’s philosophy towards AI development. Critics argue that Google’s approach is characterized by timidity, driven by a desire to avoid controversy at all costs. This cautiousness, they argue, is at odds with the company’s mission to organize the world’s information and make it universally accessible and useful. The Gemini fiasco is seen as a symptom of a culture that prioritizes avoiding criticism over bold innovation.

Looking Ahead: Boldness vs. Responsibility

At Google I/O 2023, the company announced a commitment to a “bold and responsible” approach to AI development, guided by its AI Principles. However, the Gemini controversy suggests a gap between these aspirations and the company’s current practices. Moving forward, Google faces the challenge of balancing bold innovation with ethical responsibility, ensuring that its AI models are both groundbreaking and aligned with societal values.

Conclusion

The Gemini image generation controversy serves as a pivotal moment for Google, challenging the tech giant to reassess its approach to AI development. As AI continues to evolve at a rapid pace, the need for responsible innovation that respects historical accuracy, ethical considerations, and societal norms has never been more critical. The tech community and the broader public will be watching closely to see how Google and other industry leaders navigate these complex waters in the quest to develop AI that is both powerful and principled.

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Google has expanded the reach of its Gemini app, an AI-driven chatbot, to more than 150 countries and territories, including India. Initially launched for Android users on February 8, the Gemini app has gained attention for its innovative features. The app is now accessible in English, Korean, and Japanese, catering to a diverse global audience.

The expansion aims to bring the power of AI-driven conversations to users worldwide. Notably, there is no dedicated Gemini app for iOS, but iPhone users can access Gemini through a toggle within the Google app, unlocking the chatbot’s capabilities.

To use the Gemini app on Android, users need a device with a minimum of 4GB of RAM and operating on Android 12 or later. Similarly, iPhone users with iOS 16 or later can interact with the chatbot through the Google app, activating the feature via a toggle in the top-right corner. Currently, the app supports English, Japanese, and Korean languages.

Gemini’s global rollout commenced recently and is expected to continue over the next few days, allowing users worldwide to seamlessly integrate the chatbot into their digital experiences. Users must be signed in to a personal Google Account or a Workspace account with the feature enabled by the administrator.

Addressing user concerns, Jack Krawczyk, Senior Director of Product at Google overseeing Gemini, mentioned that restrictions on image uploading and generation were being relaxed. He emphasized responsible alignment on refusals for both images and text. Additionally, Krawczyk acknowledged user feedback regarding clarity on the assistant’s capabilities over Google Assistant and assured improvements in communication on features in progress versus those already available.

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Google has rebranded its AI chatbot Bard as Gemini, marking a significant step in the tech giant’s AI evolution. The rebranding coincides with the launch of a new paid tier and the expansion of Gemini’s accessibility to mobile devices, underscoring Google’s commitment to advancing AI technologies.

The decision to rename Bard to Gemini aligns with Alphabet’s broader strategy to position Gemini as the primary brand for all existing and future AI endeavors, mirroring Microsoft’s approach with its Copilot brand. Alphabet initially introduced Gemini as a family of AI models set to drive the next wave of AI advancements, following the merger of its AI research units, DeepMind and Google Brain.

Alphabet CEO Sundar Pichai highlighted the evolution of Gemini beyond just models, emphasizing its role in supporting an entire ecosystem. This encompasses products used by billions of individuals daily, as well as APIs and platforms fostering innovation for developers and businesses.

Gemini, formerly Bard, will be available in over 40 languages on the web, catering to users across more than 230 countries and territories. The rebranding aims to reflect the advanced technology at the core of Gemini, reinforcing its position as a leading AI chatbot in the digital landscape.

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