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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

Google is once again reshaping how we interact with the internet. Starting this week, Gemini AI models will be directly available in Chrome for desktop users in the US. This move signals Google’s ambition to transform the browser into more than just a window to the web—it is now evolving into a smart assistant capable of multi-step tasks, summarisation, and deeper integration with everyday Google apps.

Why This Rollout Matters

The integration of Gemini into Chrome is not just a feature update—it’s a strategic shift. Browsers have always been the entry point to the internet, but with AI, Google is turning Chrome into an active partner in productivity and discovery. From retrieving past searches to helping summarise content across multiple pages, Gemini is set to change how users navigate information.

Key Features of Gemini in Chrome

  • Desktop Availability First: Rolling out for Mac and Windows users in the US with English set as the language.
  • Mobile Expansion: Soon coming to iOS via the Chrome app, and later extending to Android devices.
  • Business Integration: Gemini will also become a part of Google Workspace, assisting businesses in managing tasks, schedules, and workflows more efficiently.
  • Deeper Google App Synergy: Expect tighter links with YouTube, Maps, and Calendar, making everyday browsing more seamless.
  • Agentic Capabilities: In the coming months, Gemini will be able to handle multi-step tasks—like researching, planning, and executing across multiple tabs.

The Competitive Landscape

Google’s decision also reflects a broader industry trend. Competitors like Perplexity are working on AI-driven browsers, while startups like Comet promise to perform tasks on behalf of users. By integrating Gemini, Google is not only protecting Chrome’s dominance but also future-proofing its ecosystem against challengers.

The Legal Backdrop

Interestingly, this rollout comes shortly after a key antitrust ruling in the US. A judge spared Google from having to sell Chrome but did impose rules requiring it to share data and reduce exclusive deals. With Gemini in Chrome, Google strengthens its hold while carefully adapting to regulatory pressure.

What Users Can Expect Going Forward

The real promise of Gemini in Chrome lies in automation and personalization. Imagine asking your browser to:

  • Summarise five research articles into a quick brief.
  • Pull up a page you visited last week but forgot to bookmark.
  • Plan a trip using Maps, Calendar, and YouTube suggestions simultaneously.

In short, Chrome will no longer just show you the web—it will work with you on the web.

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Google Gemini

Starting September 2, Google will update its data policy for Gemini, its AI chatbot. This change will allow the company to use your interactions—including file uploads and chat prompts—to train and improve its artificial intelligence systems.

While this might sound like a way to make Gemini more intelligent and helpful, it also introduces concerns about privacy. If you’ve ever used Gemini to ask sensitive questions, you may wonder if those conversations should really be part of AI training. Fortunately, Google has provided a way to opt out.

Why Google Wants Your Data

Artificial intelligence models learn best from real-world examples. Public data alone can’t always capture the variety of ways people ask questions or express themselves. By studying chats and uploads, Gemini can refine its understanding of human language and deliver more accurate responses.

In short, your chats help the AI learn. But for some, the trade-off between smarter AI and personal privacy feels uneasy—especially when health, finance, or personal topics are involved.

What Exactly Will Be Collected?

Google calls this setting Gemini Apps Activity. Once the update rolls out, it will appear as Keep activity. When enabled, this feature records your chats, file uploads, and prompts. That means anything you type or share with Gemini could be stored for AI improvement.

The company emphasizes that the data isn’t directly linked to your personal account. Still, the option to opt out exists for those who’d rather not share their conversations at all.

How to Turn Off Gemini Activity on Desktop

If you’d prefer to stop sharing your interactions, here’s the process:

  1. Go to Gemini.Google.com and sign in.
  2. From the left-hand menu, click Settings and help.
  3. Under Activity, find Gemini apps activity (or Keep activity after September 2).
  4. Toggle it off to stop saving your chats and uploads.
  5. You can also delete your past records if you want them removed from Google’s servers.

Even after disabling it, Google temporarily holds the last 72 hours of your activity before deleting it permanently.

How to Disable It on Mobile

The steps are similar on the Gemini app:

  1. Open the Gemini app and tap your profile icon.
  2. Go to Gemini apps activity.
  3. Switch it off to prevent future training.
  4. Delete past data if you don’t want your history stored.

Remember, if you use multiple Google accounts, you’ll need to repeat the steps on each one.

The Bigger Picture: Privacy vs Progress

This update reflects a larger dilemma in the world of artificial intelligence. On one side, companies like Google need massive amounts of real data to create smarter, more reliable AI. On the other, users worry about privacy and how their information might be used.

By offering an opt-out choice, Google is trying to strike a balance. Whether you choose to keep activity on or off depends on your comfort level with sharing data for AI development.

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Google has once again raised the bar in artificial intelligence with the launch of Gemini 2.5 Pro, its most advanced AI reasoning model yet. Designed to push the boundaries of logic, problem-solving, and multimodal processing, this latest addition to the Gemini family is now available on Google AI Studio and for Gemini Advanced users on the Gemini AI chat interface.

A New Era of Thinking AI

At the heart of Gemini 2.5 Pro is Google’s continuous exploration into making AI systems more intelligent, efficient, and capable of reasoning. The model builds upon the foundations laid by Gemini 2.0 Flash Thinking, incorporating advanced reinforcement learning and chain-of-thought prompting to enhance its ability to solve complex problems.

“For a long time, we’ve explored ways of making AI smarter and more capable of reasoning,” said Koray Kavukcuoglu, CTO at Google DeepMind, in a blog post announcing the launch. “With Gemini 2.5, we’ve achieved a new level of performance by combining a significantly enhanced base model with improved post-training.”

Multimodal Mastery and Expansive Context Processing

One of the standout features of Gemini 2.5 Pro is its multimodal capabilities. Unlike traditional AI models limited to text processing, Gemini 2.5 Pro can seamlessly analyze text, images, audio, videos, and even code repositories, making it one of the most versatile AI models available today.

Additionally, the model boasts an unprecedented 1 million token context window, enabling it to process vast amounts of data in a single interaction. Google has confirmed that this will soon expand to 2 million tokens, making it one of the largest context windows in AI history.

Surpassing Industry Standards

Google claims that Gemini 2.5 Pro has outperformed other leading AI models across multiple benchmarks, particularly in:

  • Code Editing & Software Development
  • Mathematical & Logical Reasoning
  • Multimodal Analysis (covering humanities, sciences, and problem-solving tasks)

By integrating these capabilities into all future AI models, Google is setting a new standard for AI-powered reasoning and decision-making.

Pricing and Future Developments

While Google has not yet revealed pricing details, an announcement is expected in the coming weeks. The company is also working on expanding its portfolio, having recently introduced Gemma 3, a small language model for on-device AI applications.

With Gemini 2.5 Pro, Google is reinforcing its position at the forefront of AI innovation, paving the way for smarter, more adaptable AI systems across industries. As the AI race heats up, one thing is clear—Google isn’t slowing down anytime soon.

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Google has introduced a series of new features to its Gemini AI, including a personalization tool called Gems, which allows users to customize the AI chatbot for specific tasks. This new feature enables users to tailor the Gemini chatbot to their needs, whether as a workout partner, a coding assistant, or a writing companion.

To create a personalized Gem, users can provide instructions on the desired style of responses, save a custom introduction, and even assign a specific character to the chatbot. Once these preferences are set, the customized Gem is activated and ready for use. This feature will be available exclusively to Gemini Advanced subscribers.

In addition to the customizable Gems, Google is also launching several predesigned Gems for broader tasks such as troubleshooting code, offering writing tips, and explaining complex topics in simpler terms.

Google is also rolling out the next-generation image generation tool, Imagen 3. This update includes the reactivation of Gemini’s ability to generate AI images of people—a feature that was previously disabled due to the creation of historically inaccurate images. The company has now implemented safeguards to prevent such issues in the future. These guardrails are designed to avoid overcorrection for diversity, which previously led to embarrassing mistakes.

“We don’t support the generation of photorealistic, identifiable individuals, depictions of minors, or excessively gory, violent, or sexual scenes,” stated Gemini Product Manager Dave Citron. He acknowledged that not every image generated by Gemini will be perfect but emphasized the company’s commitment to continuous improvement based on user feedback.

Additionally, Google has incorporated the SynthID tool to watermark images created by Imagen 3, ensuring the authenticity and traceability of AI-generated content.

Imagen 3 will be available to all users starting this week, though the ability to generate images of people will initially be limited to paid subscribers.

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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 CEO Sundar Pichai has labeled the recent controversy surrounding Google’s Gemini AI engine as “unacceptable” after it produced historically inaccurate images of racially diverse Nazis. In an internal memo addressed to the staff, Pichai acknowledged the offense caused and emphasized the company’s commitment to addressing and rectifying the issues.

In the memo, Pichai stated, “I know that some of its responses have offended our users and shown bias — to be clear, that’s completely unacceptable, and we got it wrong.” He further urged the teams to work tirelessly to rectify the problems and emphasized the high standards expected from Google.

The Gemini AI engine faced criticism for generating images of racially diverse Nazi soldiers, including black and Asian individuals in Wehrmacht uniforms. Users accused the AI of displaying bias and inappropriate contextual usage. Pichai’s statement recognized the imperfections of AI at this emerging stage but underscored Google’s commitment to meeting the high expectations set for the technology.

The controversy led to a significant drop in Alphabet’s shares, Google’s parent company, losing over $90 billion in market value. This marks one of the largest daily drops in the past year, emphasizing the potential financial implications of AI-related controversies for tech giants.

Tesla CEO Elon Musk also weighed in on the matter, criticizing the AI chatbot and highlighting concerns about its programming. Google responded by pausing the tool’s capacity to generate photos of people while they work to address and fix the issues.

This incident adds to a series of challenges and debates surrounding AI ethics, diversity, and responsible implementation, raising questions about the industry’s development and the need for stringent oversight.

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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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Since the recent launch of ChatGPT, AI discussions have been buzzing worldwide. Several tech giants have introduced their AI models, and now Google has joined the race with the unveiling of ‘Gemini AI,’ an advanced Artificial Intelligence model.

Claiming to be smarter than existing models, Google has introduced its Advanced Artificial Intelligence model ‘Gemini AI.’ Sundar Pichai, the CEO of Google, shared that this model draws inspiration from human conversations. In simple terms, it aims to understand interactions between individuals, shaping the development of this AI model.

Developed collaboratively by DeepMind and Google Research teams, Gemini AI is capable of handling various tasks, including text, images, audio, and coding. It offers three versions: ‘Ultra’ for complex tasks, ‘Pro’ for multitasking, and ‘Nano’ for on-device operations.

Available on Google Board Soon

Google Assistant and Board’s Vice President Sisi Hsiao revealed that Gemini Pro version will launch on Board from December 6, offering specialized support. This chatbot will assist users in comprehending stories, summarizing information, engaging in debates, coding, and outlining plans.

New Year, New Features

Starting next year, Gemini Ultra version will also be supported on Google Board. With multi-model reasoning capabilities, Gemini Ultra promises to excel in understanding high-quality code in various coding languages, making it a valuable tool for comprehending, explaining, and generating new code.

Accessible Across 170+ Countries

Google plans to roll out Gemini Pro initially with text-based prompts, with multi-model support coming later. The new AI will be available in over 170 countries, expanding its accessibility. While English will be the initial language, support for additional languages is on the horizon.

Google’s commitment to evolving AI models like Gemini AI reflects a global effort to bring smarter, more intuitive technology to users worldwide. Stay tuned for updates as Google continues to push the boundaries of conversational AI

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