Realme GT 7 series teased in India by the brand: Coming soon with Android 15, 12GB of RAM, MediaTek Dimensity 9300+ SoC, and more
Realme GT 7 series spotted on Geekbench: With its upcoming GT series, Realme is leading the way in the growing expectation for the next major smartphone launch. A Realme GT 7 variant was recently identified on Geekbench, creating a lot of excitement among tech aficionados.
This smartphone will cause a stir in the market, even though specifics are still being worked out. This news is guaranteed to catch your attention if you're eagerly awaiting Realme's next big thing or are searching for a powerful gadget to upgrade to.
We'll get into the specifics of the Indian version of the Realme GT 7 in this post, including what the Geekbench listing indicates about its possible performance.
Realme GT 7 teased in India
The gateway to unstoppable power is unlocking. #realmeGT7SeriesStep in, if you're ready for the #PowerThatNeverStops.Know More:https://t.co/ri6iG9Bt1ohttps://t.co/z8Dhu2oQqh#2025FlagshipKiller pic.twitter.com/yETdEEOVJw
Through a tweet on X (previously Twitter), Realme India hinted at the arrival of the Realme GT 7 series in the nation. The phrase "Power that never stops," in the accompanying graphic raises the possibility that the lineup may include high-performance chipsets designed specifically to meet gaming demands.
However, the tweet has no information regarding the series' possible start date—it simply states, "Coming Soon."
The Realme GT 7 series has been co-tested with Krafton, the company behind the well-known online multiplayer battle royale game Battlegrounds Mobile India (BGMI), according to a website created for the phone's Amazon debut.
According to Realme, the phones can play BGMI games at 120 frames per second for up to six hours.
Must Read: Realme GT 7 5G sale date is official: Launched in 3 colours, MediaTek Dimensity 9400+ chipset, 7,200mAh battery, 50MP Sony IMX896 primary OIS camera, and more
Realme GT 7 expected specifications
The RMX5061 model number of the next Realme smartphone was detected by Xpertpick staff on the Geekbench database. This model number relates to the Indian version of the Realme GT 7.
In single-core and multi-core tests, the forthcoming smartphone received scores of 2078 and 7037 points, respectively. With one core operating at 3.40GHz, three at 2.85GHz, and four at 2.0GHz, it will have an octa-core SoC.
The chipset will work with the Mali-G720 Immortalis MC12 GPU, according to the source code. It affirms that the premium MediaTek Dimensity 9300+ SoC would power the phone.
Additionally, the description states that the chipset will come pre-installed with 12GB of RAM and run Android 15.
According to the chipset, the Realme Neo 7, which was released in China in December 2024, may be rebranded as the Indian version of the future Realme GT 7.
It was previously announced that the Realme GT 7 would come with a 12GB + 512GB combination. It will be available in both black and blue. We anticipate that the next phone will have the same specs as the Realme Neo 7.
For the latest and more interesting tech news, keep reading Indiatimes Tech.
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Indian Express
23 minutes ago
- Indian Express
Why both Apple and Meta are interested in buying Perplexity AI
In Silicon Valley, what matters most is staying ahead of the competition. If you are Apple or Meta and find yourself short on talent or unable to build the technology in-house, the typical approach is to spend big. That usually means acquiring a successful company, bringing in the team behind the product, and either integrating it into your core offerings or giving the founders enough autonomy to continue innovating within your brand. It's an approach many Silicon Valley companies have embraced—some have made blockbuster acquisitions, while others have gotten burned. Last week, both Apple and Meta made headlines with news of their interest in acquiring Perplexity AI, a leading AI startup founded by Indian-origin computer scientist Arvind Srinivas. While major Silicon Valley players often work behind the scenes to quietly pursue companies they are interested in, this time two tech giants are eyeing Perplexity—at the same time. The timing makes it even more interesting, especially in the case of Apple, which typically avoids bringing in outside talent and prefers to build competing technologies in-house. Bloomberg first reported that Meta approached Perplexity about a potential takeover before the company recently invested $14.3 billion in Scale AI. Unsurprisingly, the San Francisco–based AI startup was also on Apple's radar, according to another Bloomberg report. It's not clear whether Perplexity is up for sale, whether Meta or Apple has held formal talks to acquire the company, or how close either might be to sealing a deal. We may not know until one of them makes an official announcement. While Meta has been on a shopping spree for months, Apple's name entering the mix is particularly interesting. It could signal a turning point in Cupertino's AI strategy—something many have been anticipating, especially after its underwhelming AI showing at the company's recent developers' conference. The interest from both Silicon Valley giants raises an important question: why are they eyeing a much smaller company like Perplexity? The answer may be that this rising AI darling holds the potential to supercharge their AI ambitions in the escalating battle against Google and Microsoft-backed OpenAI. When Perplexity was founded in 2022 by a team of AI researchers and machine learning experts—Aravind Srinivas, Andy Konwinski, Denis Yarats, and Johnny Ho—in San Francisco, the idea behind the startup was to 'democratise access to knowledge.' While the AI-driven search engine and chatbot rose quickly, Perplexity AI was initially mocked as little more than an 'AI wrapper.' Now, its greatest strength lies in allowing users to choose from a range of powerful large language models (LLMs), though it also has its own LLM called Sonar. The startup has built various services on top of these LLMs, giving consumers real choice and flexibility. This ability to rapidly develop and launch new features on top of popular LLMs is what helped Perplexity gain its user base and rise in popularity. As of mid-2024, it reportedly had around 15 million users. Perplexity's rise is especially unexpected in its emergence as a serious search engine contender. Both insiders and the general public have praised its search capabilities, with some calling it a potential challenger to Google's dominance in the space. Many have tried and failed to replicate Google over the years—Neeva, for instance, shut down in 2023 after struggling to gain traction. But Google itself appears to be on shaky ground. Users have increasingly complained that Google's search results are cluttered with low-quality, spammy websites gaining the rankings. As a result, many people have begun turning to platforms like Reddit and TikTok for more authentic answers. Neither Perplexity nor ChatGPT has replaced Google yet, but there are growing signs that user search behaviour is shifting—and new players are emerging. Even Google is trying to reinvent itself with a new feature in its search engine called AI Overviews, which offers summarised answers on the search page itself. While Perplexity is slowly gaining more users, it has also faced controversy. The company has been accused by major publishers of bypassing paywalls and plagiarizing content. That said, Perplexity has quickly become one of the most buzzing products in the tech world. The company is currently valued at over $14 billion. Cupertino took an early lead in artificial intelligence with Siri in the early 2010s, but the company is now virtually absent from the current AI race. In fact, Apple is lagging behind other FAANG — an acronym for the top tech companies: Facebook (now Meta), Apple, Amazon, Netflix, and Google (now Alphabet) — companies when it comes to AI. Its much-hyped Apple Intelligence has been underwhelming at best, and the promised Siri overhaul has been delayed—with no clear timeline in sight. Apple appears to be years behind the competition, painting a picture of weak leadership, flawed decision-making, and poor integration between teams. The company's recently concluded Worldwide Developers Conference (WWDC) keynote included little to no mention of AI—a clear sign that Apple failed to anticipate the generative AI boom and was caught off guard. However, Apple has been developing a version of Siri that is entirely based on large language models (LLMs), aiming to make it more conversational and better at processing information. This new version is expected to eventually replace the current hybrid Siri that Apple is using, but we will have to wait until sometime next year to see how polished the new Siri actually is. A major difference between Apple and other companies in bringing AI to the masses is that Cupertino is more open to partnerships—such as the one it has with OpenAI. The idea is that Apple will combine its own machine learning models with generative AI technologies from partners to power features within Apple Intelligence. It's a smart way to deliver the best of AI through collaboration. And since Apple has some of the best hardware on the market—and billions of active users—it makes sense to work with various AI companies and build new features on top of their LLMs. But the real question is whether Apple's hardware-first business model puts it at a disadvantage in the AI age—or whether we are simply expecting Apple to behave like Google or OpenAI and invest billions in AI as a core product. What's often overlooked is that Apple's business model is fundamentally different from the major players in AI. Apple is not (yet) an AI-first company—though it could become one in the future if its devices and software are redesigned around AI. While Google and OpenAI aim to sell their AI technologies to others and monetise them directly, Apple's focus is on serving its own customers—those who buy iPhones, Macs, and other devices—by integrating AI features into its existing software ecosystem. Apple is also morally accountable to its users, which is why it maintains a strong emphasis on building a private, user-focused version of AI. If that approach takes more time to deliver, Apple is willing to wait—and that's okay, even if it takes longer than expected. Apple has made a choice, and its partnership-driven approach comes with both pros and cons. The company can either compete directly with OpenAI and Google by developing its own large language model (LLM) as advanced as theirs and integrating it into Apple Intelligence, or it can give consumers the option to choose between assistants—like Siri and Gemini, for example. However, taking the latter route risks complicating Apple's business model and could create a confusing user experience, such as having two voice assistants running on the same iPhone. For Apple, its current position in the AI age is a high-risk battle. The company could open its wallet to acquire a major AI company or poach the brightest software developers to build a team of AI experts. Apple might already be quietly doing this behind the scenes. Apple rumoured move to acquire Perplexity AI suggests a potential shift in its AI strategy. In some ways, Perplexity AI and Apple share similarities, and the long-term impact of integrating Perplexity's technology with Apple's hardware and software could be significant but in a positive way. Perplexity's search tool—with its text interface, voice controls, and Apple-like design—resonates more strongly on iOS than on Android. Perhaps the secret to Perplexity AI lies in how it is redefining the search engine experience. While traditional search engines like Google (built on crawling, indexing, and ranking) constantly scan and catalog the internet, Perplexity AI takes a different approach. Instead of relying solely on static results, its search engine transforms search into a natural conversation. Users can phrase questions as they would when speaking to another person, rather than using keyword strings. This conversational flow allows users to ask follow-up questions, refine queries, or explore related topics without starting over. Additionally, Perplexity AI's responses include numbered footnotes that link directly to original sources, improving transparency. It scans the web rapidly to find the latest information, and thanks to its multimodal capabilities—supporting text, speech, and more—users can even upload images to receive detailed explanations of visual content. The result is a more user-friendly, transparent, and informative search experience. Perhaps Cupertino is exploring the idea of creating its own AI-based search engine to reduce its long-term reliance on Google. While talk of Apple acquiring Perplexity AI may still be just a rumour, the reality is that Apple needs both top-tier AI talent and a clear long-term strategy for integrating AI into its products. Maybe Apple wants to move beyond its current partnership strategy and is now aiming for full control over the user experience. Gaining access to Perplexity AI's talented team and its ready-made alternative to Google Search could mark the beginning of what Apple has long envisioned as the core experience behind Apple Intelligence. In May, Apple's Senior Vice-President Eddy Cue revealed that the company had discussed a possible Safari integration with Perplexity during Google's ongoing search antitrust case. Apple has been under increasing pressure to end its partnership with Google, which currently pays Cupertino billions of dollars each year to remain the default search engine on the iPhone. While that could mean the end of the billions Apple receives from Google if regulators apply pressure, Cupertino also needs an alternative—and a long-term bet on Perplexity AI makes a lot of sense. Though it remains to be seen whether Apple will invest in Perplexity AI or move to acquire the startup outright, one major hurdle could be regulatory approval. Apple has already faced accusations of creating a monopoly through its App Store and its dominant role as a gatekeeper—concerns that could intensify if it attempts a multi-billion dollar acquisition. However, Apple has generally avoided high-profile acquisitions. Its last major deal was the $3 billion purchase of Beats in 2014. Historically, the company prefers smaller acquisitions, usually aimed at bringing talented teams on board to kickstart new projects or to fill talent gaps in existing internal efforts. While Apple is rather cautious with acquisitions, Meta is known for large-scale deals. Meta has made a number of high-profile acquisitions in the past, and in many cases, it has allowed those brands to shine on their own. Take, for example, the photo-sharing platform Instagram or the messaging service WhatsApp—both highly successful deals that continue to pay dividends today. However, CEO Mark Zuckerberg is now under pressure and must answer to shareholders about how the company plans to win the AI race against OpenAI and Google's parent company, Alphabet. That explains why Meta is on a spending spree and actively eyeing AI companies, even though the cost of acquiring them during the peak of the AI boom is astronomically high. Just recently, Meta made a $14.3 billion investment in Scale AI, gaining access to star developer and startup founder Alexandr Wang—a Massachusetts Institute of Technology dropout who founded the company at age 19. The 41-year-old Meta CEO has also reportedly attempted to acquire Perplexity AI and Safe Superintelligence, the latter launched a year ago by OpenAI co-founder Ilya Sutskever. Meta is now reportedly planning to hire former GitHub CEO Nat Friedman and his business partner Daniel Gross, who had been leading the $32 billion AI startup Safe Superintelligence. In recent months, Meta has upped its spending on data centers investments and potential the added cost of AI hardware. Cash isn't a problem for Meta; what the company is focused on now is assembling a dream team to develop AI technology that aligns with Mark Zuckerberg's vision. Unlike Apple, which is a hardware-first company, Meta's business is more diversified—spanning its core advertising unit, Instagram's algorithm-driven content, as well as VR and smart glasses initiatives. Mark Zuckerberg often talks about the company's ambition to build a new computing platform that will one day replace smartphones, and to achieve that, Meta needs better AI models and the technology to power them. It's a massive undertaking, given Meta's presence across social media, advertising, and now hardware. It requires not only significant capital but also a long-term vision—and, more importantly, a 'superintelligence team.' But compared to OpenAI and Google, Meta has made slower progress in artificial intelligence, despite having vast resources and top-tier talent. The company's current AI strategy centers around an open-source approach built on its Llama family of models. In April, Meta announced the Llama 4 AI models, which were not well received by developers. So far, Meta has only released two smaller versions of Llama 4 and has stated it will eventually release a larger and more powerful 'Behemoth' model. This suggests that Meta remains behind Google, OpenAI, and Anthropic in the AI race. That leaves Meta with no choice but to speed up its efforts to hire the right talent. It's well known in Silicon Valley that star developers are few—and they come at a high cost. In the latest episode of the Uncapped podcast, hosted by his brother, OpenAI CEO Sam Altman revealed that Meta has attempted to recruit OpenAI employees by offering signing bonuses as high as $100 million, along with even larger annual compensation packages. This underscores just how desperate—Meta is to secure top-tier AI talent. Poaching is normalised in Silicon Valley – and certainly not new. With Perplexity AI reportedly on the radar of both Meta and Apple, it's clear that both companies are keen to acquire the Arvind Srinivas–led startup. Meta has previously been in talks to acquire the company, highlighting just how much it values Perplexity's potential. For Meta, the acquisition would be strategically important in improving its Meta AI assistant—which already serves over a billion monthly active users across the company's family of apps—by making it more personalised and better tuned for voice-based conversations. Anuj Bhatia is a personal technology writer at who has been covering smartphones, personal computers, gaming, apps, and lifestyle tech actively since 2011. He specialises in writing longer-form feature articles and explainers on trending tech topics. His unique interests encompass delving into vintage tech, retro gaming and composing in-depth narratives on the intersection of history, technology, and popular culture. He covers major international tech conferences and product launches from the world's biggest and most valuable tech brands including Apple, Google and others. At the same time, he also extensively covers indie, home-grown tech startups. Prior to joining The Indian Express in late 2016, he served as a senior tech writer at My Mobile magazine and previously held roles as a reviewer and tech writer at Gizbot. Anuj holds a postgraduate degree from Banaras Hindu University. You can find Anuj on Linkedin. Email: ... Read More
Time of India
an hour ago
- Time of India
Zen Technologies shares in focus after board approves acquisition of TISA Aerospace
Shares of Zen Technologies are likely to be in focus on Monday, June 23, following the company's announcement of a proposed acquisition of a majority stake in TISA Aerospace, an emerging defence technology firm specialising in loitering munitions and unmanned aerial vehicles (UAVs). In an exchange filing, Zen Technologies disclosed that its Board of Directors, at a meeting held on Saturday, approved an investment of up to Rs 6.56 crore towards the proposed acquisition. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Costco Shoppers Say This Wrinkle Cream Is "Actually Worth It" The Skincare Magazine Undo The investment will be executed through two components: The acquisition of 2,06,518 equity shares of Rs 10 each from an existing shareholder of TISA Aerospace, representing 54.67% of the total equity paid-up share capital of the company. The acquisition of 4,00,000 units of 6% Compulsory Convertible Debentures (CCDs) of Rs 100 face value each, from an existing CCD holder, also issued by TISA. The Board of Directors has unanimously approved the investment, which involves acquiring shares from current stakeholders of TISA as well as CCDs previously issued by TISA. The company stated that the transaction represents an investment in a domain of strategic relevance, comprising indigenously developed defence technologies. Live Events TISA Aerospace is positioned as a domestic player within the high-technology defence ecosystem. The company is engaged in the development of loitering munitions and UAVs—both of which are key segments within the evolving landscape of modern precision-guided weapon systems. Zen Technologies, through this acquisition, is entering a segment associated with advanced defence applications. 'This acquisition is a decisive step towards strengthening Zen's position in the rapidly evolving defence drone sector. TISA's expertise in loitering munitions provides us with immediate access to advanced technologies and platforms that align with the emerging operational requirements of the Armed Forces. TISA has achieved significant R&D milestones, including the successful execution of a project for DRDO with critical design assistance from IIT Madras. By integrating these capabilities with our existing strengths in anti-drone systems and propulsion technologies, we are building a broader and more future-ready defence portfolio,' said Ashok Atluri, Chairman and Managing Director of ZenTechnologies. Also read: How will US strikes on Iran affect Indian markets this week? Shares of Zen Technologies closed flat at Rs 1,900.30 on the BSE on Friday. ( Disclaimer : Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)
Time of India
an hour ago
- Time of India
Tamil Nadu emerging as key contributor in manufacturing drones for the armed forces, and other electronic defence systems
The Union govt referred to Operation Sindoor, India's retaliatory strike to the Pahalgam terror attack, as a milestone in the nation's journey towards technological self-reliance in military operations — in drone warfare, layered air defence, and electronic warfare. The operation significantly boosted demand for drones manufactured by indigenous companies. Projections peg the size of the Indian drone market to hit $11 billion by 2030, accounting for 12.2% of the global drone market. The ban on imported drones and the launch of the PLI scheme for drones and drone components, notified by the Ministry of Civil Aviation on Sept 30, 2021, with a total incentive of ₹120 crore spread over three Financial Years (FYs), are laying the groundwork for India making huge strides in the drone ecosystem. Tamil Nadu is emerging as a key contributor in manufacturing drones for the armed forces, as well as building broader electronic defence systems, including UAV jammers and sophisticated payload delivery systems. The state has notable companies, both startups and veterans, such as Dhaksha, Garuda Aerospace, Zuppa Geo Navigation, ePlane company, Big Bang Boom, Data Patterns, all of which are building strategic UAVs and related technologies. Many of these firms, which had quietly developed defence-grade technologies over the years, are now seeing a surge in interest and keeping them busy with product demonstrations on field in crucial areas. Sai Pattabiram, founder and managing director of Zuppa, which is making small drones and autopilots, says they received 5X increase in order enquiries in the aftermath of Operation Sindoor. "The way drones were predominantly considered as a tool for surveillance has now changed," he said. Zuppa works closely with the ministry of defence and army units to develop systems suitable for the specific terrains and mission conditions. Garuda Aerospace, traditionally known for agricultural drones, is focussing on defence applications in recent months. "We are developing eight different drone platforms and collaborating with global players such as Lockheed Martin and Thales," said Agnishwar Jayaprakash, founder and CEO. "We have participated in emergency procurement rounds and held about 40 field demonstrations. Our focus now is to design based on ground-level operational needs and co-develop with defence forces." Tamil Nadu is not the only drone manufacturing hub in India. The drone ecosystem is spread in peninsular India, spanning Karnataka, Telangana, and Maharashtra, which benefit from the presence of public sector giants like HAL and DRDO. However, Tamil Nadu is attempting to close the gap. Since 2022, the state has ramped up its policy and infrastructure support for the sector. Wing Commander P Madhusoodhanan, vice president of Aerospace and Defence at TIDCO, and CEO of TN UAV corporation, said, "The drone industry is at an inflection point. With military procurement expanding, we expect greater scale and sustainability." The ministry of defence is setting up four UAV testing and certification facilities near Sriperumbudur, expected to be operational by year-end. He said that these centres are focused on unmanned systems, electronic warfare and electro-optics, among the few of their kind in India and will reduce the testing cost in the state and spearhead development. TN companies' role extends beyond making drones. Dr Shivaraman Ramaswamy, CTO of Big Bang Boom Solutions, which has artificial intelligence and EW capabilities, said demand for its anti-drone systems is rising. He further said the state has a suitable environment for manufacturing defence systems, with the advantage of using electronics manufacturing service and fabrication from engineering firms. The presence of one of the country's two defence corridors, expertise in auto, aerospace and electronics manufacturing, vibrant research by educational institutions such as MIT, IIT-M, huge capacity for training drone pilots and training the trainers puts TN in a sweet spot in defence drones. Yet, challenges persist. The lack of indigenous supply chains remains a concern. Executives TOI spoke to said the union govt should hold more consultation with the companies doing actual work and urged the state govt to facilitate consultation. Many press the need for handholding by armed forces in designing and developing the technologies as more important than subsidies.
