
'Blueprint for online safety': Google launches 'safety charter' to save Indians from online frauds
Google on Tuesday announced a major initiative to make India's digital space safer by unveiling its new 'Safety Charter' during the 'Safer with Google India Summit'. The initiative is focused on protecting users from online fraud, boosting cybersecurity for critical infrastructure and ensuring that AI is developed responsibly. This Safety Charter is built around three key goals -- keeping internet users safe from scams and frauds, strengthening cybersecurity for governments and businesses and building responsible AI systems that protect people.
Show more
Show less

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Hindustan Times
an hour ago
- Hindustan Times
Adobe Firefly and ChatGPT images in WhatsApp mark apps as generative AI hubs
As it becomes clear that a lot of the generative artificial intelligence (AI) usage is shifting to smartphones, AI companies scramble to make their apps more capable, and unlock new ways for users to access. OpenAI's approach sees ChatGPT integration within its WhatsApp bot, for quick image generation without needing to access OpenAI's models on the web or its own smartphone app. Meta's WhatsApp is incredibly popular worldwide, with 1.5 billion daily active users, which gives OpenAI a strong foothold to propel. Earlier, Perplexity too made its AI available as a chatbot on WhatsApp, which also includes an ability to generate images with text prompts. A Firefly app, finally At Adobe Max last year, HT had detailed how the company gave its creative apps a broader feature suite, with AI as the foundation. All of this, defined by their Firefly model. Yet, as time passed, there remained a nagging feeling that Adobe was missing a trick with its Firefly AI suite by not having an app for smartphones. More than anything else, to simply make it easy to access, on a user's phone or tablet. In this time, coincidentally, AI companies generally made considerable moves to fine-tune AI-enabled content creation. Another illustration of this rapid transition is that just before this year's I/O keynote, Google rolled out updates for the Gemini app across Android and iPhone, unlocking Veo 2 for video generation and new Imagen model for images. That has now changed. Adobe's Firefly app is now available for iPhones and Android devices. The integrated tools include text prompts to generate a video clip up to 7 seconds in duration and in up to 1080p resolution, text to image as well as generative fill and generative expand that had already found space in Adobe's popular creative tools including Photoshop. 'Our goal with Firefly is to deliver creators the most comprehensive destination on web and mobile to access the best generative models from across the industry, in a single integrated experience from ideation to generation and editing,' says Ely Greenfield, Adobe's senior vice president and chief technology officer. If you are thinking Adobe's simply pushing a case for its own Firefly models (of course it is) and not much else, you'd be very, very wrong. There are Adobe's own Firefly Image 4 Ultra, Firefly Image 4 and Firefly Image 3. And then there are the third-party models, including Google's Imagen 4, Imagen 3 and Veo 2, as well as OpenAI's GPT Image. Adobe says the Firefly generative AI ecosystem will be integrating models from Ideogram, Luma AI, Pika and Runway, alongside existing models from OpenAI, Google and Black Forest Labs too — that makes it the first creative platform of its kind, to integrate a large number of third party models too, as users get broader choice of generative styles, aesthetics and specifics such as formats and resolutions. Subscriptions are priced at ₹499 per month or ₹4,999 per year for 750 monthly credits, and 100GB storage. Generations get synced basis the Creative Cloud account, linking them to other Adobe apps including Lightroom and Photoshop, as well as the consumer focused Express. OpenAI unlocks more, on WhatsApp Remember those Ghibli-style images that caught social media feeds by storm, earlier this year? OpenAI's WhatsApp bet sees the image generation capabilities being made available as part of their WhatsApp toolset (1-800-ChatGPT is the number to save in WhatsApp). This is underlined by the company's newest generation GPT-4o model, which natively supports image generation. There are two broad ways to use image generation within WhatsApp using the GPT-4o model — ask AI to create any image with a detailed text prompt, or upload a photo and describe how a user would want to transform it. 'GPT4o's image generation follows detailed prompts with attention to detail. While other systems struggle with ~5-8 objects, GPT4o can handle up to 10-20 different objects,' the company had said in a statement, when the model was released earlier this year. OpenAI says ChatGPT on WhatsApp works with all subscription tiers — that is Free, Plus and Pro — but each with differing amounts of usability that will be notified as a user closes in on those rate limits.


Time of India
an hour ago
- Time of India
Why India's AI future hinges on smarter data centres
Imagine building a skyscraper on sand. That's what India's AI ambitions could look like without rethinking data centres. As generative AI, 5G, and IoT explode, our digital economy's bedrock—data centres—is at a tipping of AI Data Centres in IndiaIndia's data centre market is sprinting at ~25% CAGR, fueled by AI's relentless demand for compute power. But here's the catch: while we generate 20% of global data, we hold just 3% of data centre capacity. The government's push for data localisation under the Digital Personal Data Protection Act (DPDPA) has further accelerated the establishment of local data centres, drawing significant investments from global giants like AWS, Microsoft, and Google, as well as domestic players such as Reliance Jio and Yotta Infrastructure. Recently, during the Union Budget presentation, Finance Minister Nirmala Sitharaman allocated INR 20 billion ($230 million) for the IndiaAI mission, which will be used to build AI and data centre infrastructure, including GPUs, data centres, and connectivity solutions. AI isn't just code—it's hardware. Next-generation data centres need GPU clusters, liquid cooling, optical fibre cables, connectivity solutions, and renewable energy to handle workloads that are ten times denser than traditional setups. Projects like Yotta NM1 in Navi Mumbai and CtrlS Hyderabad exemplify the shift toward AI-optimised facilities, equipped with GPU clusters, advanced cooling, and renewable energy integration. The Infrastructure Gap: A Strategic Imperative Despite this momentum, India's AI data centre infrastructure faces significant challenges: Real estate and Connectivity challenges India's major metro markets like Mumbai, Chennai, Bengaluru, and Hyderabad dominate data centre capacity but face high land costs and limited availability of suitable sites. While metros benefit from robust fibre networks, many regions beyond metropolitan areas still suffer from limited fibre availability and high latency, impeding AI workloads that require ultra-low latency and high bandwidth. Network Latency and Location Strategy AI applications require ultra-low latency to function effectively, which means data centres must be located close to end users in major metropolitan areas. However, high population density and limited land availability complicate site selection. Addressing network latency requires not only proximity but also optimised connectivity infrastructure, including carrier-neutral facilities and high-speed interconnections within and between data centres. Infrastructure Modernisation and AI-Readiness Many existing data centres in APAC were designed before the AI era and are not equipped to handle the unique demands of AI workloads. This creates a gap that new developments and upgrades must fill by incorporating AI-ready features such as higher floor loading capacity, advanced cooling systems, and enhanced network capabilities. Made in India solutions - India's data centre revolution demands locally engineered solutions to overcome unique challenges like connectivity gaps in tier 2 and 3 cities, unreliable power infrastructure, complex land acquisition hurdles, and the need for energy-efficient architectures tailored to extreme climatic conditions. This requires data centre solutions like driving demand for home-grown solutions that cater to hyper-scalable fibre backhaul, edge computing integration, etc. Charting the path forward The fundamental changes AI is bringing to data centres are truly remarkable. India's vision to become a global AI powerhouse hinges on bridging the digital infrastructure gap, requiring advanced connectivity solutions to build this infrastructure. As AI continues to take centre stage, data centres built on agile and future-proof optical fibre foundations will evolve to provide immense compute power. This transformation will enable them to meet the industry's demands, including: Agile, high-bandwidth connectivity for AI - AI workloads demand massive, low-latency data transfer within the data centre and between data centres (DCI). Legacy copper struggles with scale and distance. The industry requires high-speed, low-latency optical solutions. Pre-terminated systems ensure rapid, error-free deployment, which is crucial for scaling AI scalability and future-proofing - India's data explosion requires infrastructure that can scale exponentially. Density is key to managing space and cost. High-fibre-count optical solutions offer unparalleled fibre density for scalable inter-facility links. Pre-terminated Systems are inherently designed for easy upgrades and massive bandwidth headroom, protecting latency and high reliability - AI and real-time analytics demand near-instantaneous data movement. Innovative optical solutions compliant with international standards such as ANSI/TIA-942, TIA-568, ISO 11801 guarantee engineered reliability and signal integrity, minimising latency jitter and failure risk. India's AI future depends on a holistic approach to digital infrastructure—one that integrates advanced optical connectivity, power-efficient cooling, and scalable physical digital infrastructure. India's AI race isn't just about algorithms; it's about reinventing infrastructure that's future-proof, sustainable, and inclusive. The question isn't if we'll bridge the gap—it's how fast.


Time of India
an hour ago
- Time of India
Silver prices at Rs 2 lakh? Rich Dad Poor Dad author Robert Kiyosaki's wild bet has everyone talking
Renowned author and investor Robert Kiyosaki has repeatedly stated on his social media that silver prices will double from current levels, citing strong fundamentals and rising global uncertainty. As his bold predictions stir conversations among retail investors and market watchers, analysts back home are weighing in with their forecasts on whether silver prices will soon touch Rs 2 lakh. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 나눔도 당신처럼 아름답게, 유니세프 팀 팔찌 유니세프 지금 기부하기 The analysis is rooted in industrial demand, macroeconomic dynamics, and technical breakouts, especially after the white metal stands at its all-time high of Rs 1.09 lakh/kg. Ads By Google Ad will close in 30 Skip ad in 5 Skip Ad While Kiyosaki's views point toward a long-term bullish outlook, market experts in India broadly agree that silver is on an upward trajectory, supported by both structural and cyclical drivers. Silver emerges as a dual-play: Industrial + Safe haven Live Events Jigar Trivedi, Senior Research Analyst - Currencies & Commodities at Reliance Securities, notes that 'amid escalating geopolitical tensions and trade uncertainties, both gold and silver have surged, but silver is emerging as a strong contender.' He explains that although gold remains a traditional safe haven, silver's potential is being increasingly fueled by booming demand in industrial sectors such as electric vehicles (EVs) and solar energy. He projects that COMEX silver may appreciate to $36–37 per ounce, while MCX silver could reach Rs 1,10,000 per kg within a month, supported by a weak dollar, strong industrial demand, and safe haven appeal. Trivedi recommends a diversified allocation with 6–8% in gold and 12–15% in silver, adding that a balanced approach can help investors benefit from both stability and upside in 2025. Bullish structural shift: From downtrend to potential all-time highs Jateen Trivedi, VP Research Analyst – Commodity and Currency at LKP Securities, observes a structural turnaround in silver prices since their 2020 lows. The white metal had remained in a downtrend from its 2011 peak of $49.50 (Rs 73,000) until March 2020, but has surged nearly 60% in the last two years, with prices moving from Rs 87,000 to Rs 1,04,500 in 2025 alone. Also read: Commodity Radar: Gold faces caution ahead of Fed meet, but bullish trend intact. Key entry levels to watch Trivedi highlights that 'silver remains poised to test Rs 1,10,000–Rs 1,20,000 this year,' driven by robust demand from solar and EV sectors and heightened geopolitical tensions such as the Russia-Ukraine war. He maintains a bullish outlook, favoring a buy-on-dips strategy for investors looking to ride the next wave of silver's upward momentum. Multi-year breakout and long-term structural bull run Naveen Mathur, Director – Commodities & Currencies at Anand Rathi Shares and Stock Brokers, points to a multi-year breakout in silver, with prices recently touching 13-year highs. He notes that the rally seen last week was propelled by a combination of safe haven demand, trade uncertainties, and industrial buying. 'Silver looks set to outperform gold in the current year, especially in the second half of 2025,' Mathur said. He forecasts that silver may trade in the range of $38.70–$41.50 per ounce, translating to Rs 1,15,000–Rs 1,23,000 per kg in the MCX futures market—a further upside of 15–18% from current levels. Looking further ahead, Mathur suggests that silver could be entering a structural bull run, given that the market is running a deficit for the fifth consecutive year. He anticipates new all-time highs in international markets at around $50 per ounce, equivalent to Rs 1,50,000–Rs 1,70,000 per kg in the next 3–5 years. In conclusion While Robert Kiyosaki's projection that silver prices could double may seem ambitious, Indian analysts broadly validate the positive trajectory, albeit through gradual, data-backed milestones rather than speculative leaps. With fundamentals such as industrial demand, geopolitical instability, and long-term supply deficits aligning, silver continues to command attention as both a defensive and growth-oriented asset class. ( Disclaimer : Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)