Get the Future of Eyewear: Ray-Ban Meta AI Smart Glasses Now at Titan Eye+
Titan Eye+ has unveiled the Ray-Ban Meta AI Smart Glasses in India, bringing new wearable technology to local customers. The smart glasses are available at more than 50 Titan Eye+ stores and online across the country.
Availability of Ray-Ban Meta AI Smart Glasses
You can buy the Ray-Ban Meta AI Smart Glasses at Titan Eye+ stores across India or online at www.titaneyeplus.com. Customers can also get discounts by using Tata Neu reward points.
Features of Ray-Ban Meta AI Smart Glasses
These smart glasses use Meta's AI technology with Ray-Ban's well-known design to make a stylish and useful product.
Some key features are:
Voice-activated AI for quick information and commands
Hands-free 1080p video and photo capture with a 12MP camera
Open-ear speakers for clear audio while still being aware of your surroundings
Easy connection for calls, messages, music, and live streaming
This launch adds to Titan Eye+'s range of smart eyewear, which also includes products like Titan EyeX and Fastrack Vibes, to meet the needs of different customers.
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Time of India
2 hours ago
- Time of India
Meta set to throw billions at startup that leads AI data market
Three months after the Chinese artificial intelligence developer DeepSeek upended the tech world with a model that rivaled America's best, a 28-year-old AI executive named Alexandr Wang came to Capitol Hill to tell policymakers what they needed to do to maintain US dominance. The US, Wang said at the April hearing, needs to establish a 'national AI data reserve,' supply enough power for data centers and avoid an onerous patchwork of state-level rules. Lawmakers welcomed his feedback. 'It's good to see you again here in Washington,' Republican Representative Neal Dunn of Florida said. 'You're becoming a regular up here.' Wang, the chief executive officer of Scale AI , may not be a household name in the same way OpenAI's Sam Altman has become. But he and his company have gained significant influence in tech and policy circles in recent years. Scale uses an army of contractors to label the data that tech firms such as Meta Platforms Inc. and OpenAI use to train and improve their AI models, and helps companies make custom AI applications. Increasingly, it's enlisting PhDs, nurses and other experts with advanced degrees to help develop more sophisticated models, according to a person familiar with the matter. Put simply: The three pillars of AI are chips, talent and data. And Scale is a dominant player in the last of those. Now, the startup's stature is set to grow even more. Meta is in talks to make a multibillion-dollar investment in Scale, Bloomberg News reported over the weekend. The financing may exceed $10 billion in value, making it one of the largest private company funding events of all time. The startup was valued at about $14 billion in 2024, as part of a funding round that included backing from Meta. In many ways, Scale's rise mirrors that of OpenAI. Both companies were founded roughly a decade ago and bet that the industry was then on the cusp of what Wang called an 'inflection point of AI.' Their CEOs, who are friends and briefly lived together, are both adept networkers and have served as faces of the AI sector before Congress. And OpenAI, too, has been on the receiving end of an 11-figure investment from a large tech firm. Live Events Scale's trajectory has shaped, and been shaped by, the AI boom that OpenAI unleashed. In its early years, Scale focused more on labeling images of cars, traffic lights and street signs to help train the models used to build self-driving cars. But it has since helped to annotate and curate the massive amounts of text data needed to build the so-called large language models that power chatbots like ChatGPT. These models learn by drawing patterns from the data and their respective labels. Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories At times, that work has made Scale a lightning rod for criticisms about the unseen workforce in places such as Kenya and the Philippines that supports AI development. Scale has faced scrutiny for relying on thousands of contractors overseas who were paid relatively little to weed through reams of online data, with some saying they have suffered psychological trauma from the content they're asked to review. In a 2019 interview with Bloomberg, Wang said the company's contract workers earn 'good' pay — 'in the 60th to 70th percentile of wages in their geography.' Scale AI spokesperson Joe Osborne noted that the U.S. Department of Labor recently dropped an investigation into the company's compliance with fair labor regulations. Scale's business has evolved. More tech firms have begun to experiment with using synthetic, AI-generated data to train AI systems, potentially reducing the need for some of the services Scale historically provided. However, the leading AI labs are also struggling to get enough high-quality training data to build more advanced AI systems that are capable of fielding complex tasks as well as, or better than, humans. To meet that need, Scale has increasingly turned to better-paid contractors with graduate degrees to improve AI systems. These experts participate in a process known as reinforcement learning, which rewards a system for correct answers and punishes it for incorrect responses. The experts who work with Scale are tasked with constructing tricky problems – tests, essentially – for the models to solve, according to a person familiar with the matter who asked not to be named because the information is private. As of early 2025, 12% of the company's pool of contributors who work on the process of improving these models had a PhD in fields such as molecular biology and more than 40% had a master's degree, law degree or MBA in their field, the person said. Much of this process is aimed at companies that want to use AI for medical and legal applications, the person said. One area of focus, for example, is getting AI models to better answer questions regarding tax law, which can differ greatly from country to country and even state to state. Bets like those are driving significant growth for the company. Scale generated about $870 million in revenue in 2024 and expects $2 billion in revenue this year, Bloomberg News reported in April. Scale has seen demand for its network of experts increase in the wake of DeepSeek, the person familiar with the matter said, as more companies invest in models that mimic human reasoning and carry out more complicated tasks. Scale has also deepened its relationship with the US government through defense deals. Wang, a China hawk, has cozied up to lawmakers on the hill who are concerned about China's ascendance in AI. And Michael Kratsios, a former executive at Scale, is now one of President Donald Trump's top tech aides, helping to steer US policy on AI. For Meta, partnering more deeply with Scale may simultaneously help it keep pace with AI rivals like Google and OpenAI, and also help it build deeper ties with the US government at a time when it's pushing more into defense tech. For Scale, a tie-up with Meta offers a powerful and deep-pocketed ally. It would also be a fitting full-circle moment for Wang. Shortly after launching Scale, Wang said he was asked by one venture capitalist when he knew he wanted to build a startup. In response, Wang said he 'rattled off some silly answer about being inspired by The Social Network,' the film about the founding of Facebook.
Mint
5 hours ago
- Mint
Can Tim Cook stop Apple going the same way as Nokia?
A YEAR AGO, when Apple used a jamboree at its home in Silicon Valley to unveil its artificial-intelligence (AI) strategy, grandly known as Apple Intelligence, it was a banner occasion. The following day the firm's value soared by more than $200bn—one of the biggest single-day leaps of any company in American history. The excitement was fuelled by hopes that generative AI would enable Apple to transform the iPhone into a digital assistant—in effect, Siri with a brain—helping to resuscitate flagging phone sales. Twelve months later, that excitement has turned into almost existential dread. It is not just that many of last year's promises have turned out to be vapourware. Siri's overhaul has been indefinitely postponed, and Apple Intelligence is no match for other voice-activated AI assistants, such as Google's Gemini. Meanwhile Apple's vulnerabilities in China have been exposed by President Donald Trump's trade war. Moreover, it faces new legal and regulatory challenges to the two biggest parts of its high-margin services business. Its shares, down by almost a fifth this year, have lagged behind its big-tech peers, Alphabet, Amazon, Meta and Microsoft (see chart 1). But those are not the most alarming comparisons. In a new book, 'Apple in China", Patrick McGee draws an ominous parallel between Tim Cook, Apple's chief executive, and Jack Welch, boss of General Electric from 1981 to 2001. Like Welch, Mr Cook has made a fortune for investors—when Apple's market value first exceeded $3trn, in 2022, it had risen by an average of more than $700m per day since he took over from Steve Jobs in 2011. But Mr McGee raises the possibility that, as at GE, Apple's success may obscure serious vulnerabilities. If that is the case, what can Mr Cook do to avoid the sort of fate that befell GE, Nokia and other great companies that suddenly lost their way? The answer is unlikely to emerge during Apple's annual Worldwide Developers Conference that starts on June 9th. Amid reports of upheaval among executives, it is expected to return to its unflashy roots of announcing software updates for its phones and computers, rather than revealing a refreshed approach to AI. Many would prefer to see Mr Cook work on a new hardware strategy instead. Craig Moffett of MoffettNathanson, an equity-research firm, notes that the greatest moments in Apple's history have come from the reinvention of what techies call 'form factors": the Mac reimagined desktop computing, the iPod transformed personal-music habits and the iPhone popularised touchscreen smartphones. AI looks like it will be another such pivot point. (Eddy Cue, Apple's head of services, recently admitted that AI could make the iPhone irrelevant in ten years.) For now, Apple's rivals have been faster to explore new opportunities. Meta and Google are pinning hopes on AI-infused smart glasses, as are Chinese tech firms such as Xiaomi and Baidu. OpenAI, maker of ChatGPT, recently announced a $6.4bn deal to buy a firm created by Jony Ive, Apple's former chief designer, to build an AI device. As yet there is only hype to go on, but it has put Apple's lack of AI innovation in the spotlight. Apple's response may seem like dogged incrementalism. Next year it is expected to unveil a foldable phone, following a path blazed previously by the likes of Samsung and Motorola. But Richard Windsor of Radio Free Mobile, a tech-research firm, thinks Apple may still have an ace up its sleeve. If smart glasses take off, its investment in the Vision Pro virtual-reality headset, though so far an expensive flop, may be an insurance policy. It could provide Apple with enough expertise in headgear and eyewear to shift quickly to glasses. If so, the company will avoid 'doing a Nokia", he says. Likewise, Apple might make use of this moment of soul-searching to rethink other shibboleths of Mr Cook's tenure, such as the obsession with privacy and the high walls it puts around its family of products. As Ben Thompson of Stratechery, a newsletter, points out, sanctifying the privacy of its users' data has been an easy virtue for Apple to uphold because until recently it did not have much of an advertising business. Yet in the AI era, it has drawbacks. First, Apple's reluctance to scrape customers' individual information makes it harder to train personalised AI models. Apple uses what it calls 'differential privacy" based on aggregate insights, rather than the rich, granular data hoovered up by firms such as Google. Second, privacy has encouraged it to prioritise AI that runs on its own devices, rather than investing in cloud infrastructure. Chatbots have advanced more rapidly in the cloud because the models can be bigger (awkwardly, this led Apple to offer some users of Apple Intelligence an opt-in to ChatGPT). In order to overcome its AI deficiencies, it could splash out on buying a builder of cloud-based large language models (LLMs). But it has left it quite late. OpenAI's deal with Mr Ive makes it less likely to ally with Apple. Anthropic is close to Amazon, which has a big stake in the maker of the Claude family of LLMs. Other options are either Chinese or too small for a company of Apple's heft. Alternatively, it could relax its 'walled garden" ethos of seamless integration, and partner with a variety of third-party LLMs, as Motorola, owned by the Chinese firm Lenovo, has done. Third-party voice-activated chatbots could quickly solve its Siri problem, giving renewed reason for people to upgrade their phones. The likelihood is that Mr Cook will do nothing radical. As Mr Moffett puts it, his tenure has been marked by the steady ascendancy of 'process over product". Instead of flashy innovations, his hallmark has been metronomic reliability, especially with regards to financial performance. Nor has he any hope of swiftly extricating Apple from China. As Mr McGee points out, even if Apple's final assembly moves to India and elsewhere, the supply chain's roots remain deeply embedded in the Middle Kingdom. Yet this is no time for complacency. Whatever the ups and downs of AI—as Google has recently shown, yesterday's losers can quickly become today's winners—nothing turns investors off quicker than a profits shock. That is what makes the threats to Apple's services business so serious (see chart 2). The most striking risk is that the judge who declared Google a monopolist may order it to suspend payments to Apple that make Google's search engine the default on the iPhone. The payments, which are partly for exclusivity and partly a revenue-sharing arrangement, generate about $20bn a year for Apple (last year its services revenue was $96bn). David Vogt of UBS Investment Bank says that, if the judge imposes a ban on the exclusivity part of the payments, it could cut Google's revenues by about $10bn. 'I'm getting calls every day of, 'What will the market do to Apple stock if that happens?'" he says. Google has vowed to appeal. Another looming threat is to app-store revenues, which are under scrutiny as a result of the EU's Digital Markets Act, as well as from an antitrust lawsuit brought by Epic, a gaming firm, against Apple in America. Bank of America estimates that app-store commissions generate $31bn a year of high-margin services revenue for Apple. If app developers steer customers away from Apple's app store as a result of the rulings, it could clobber the lucrative cash cow. Services have been the brightest spot of Mr Cook's tenure in recent years, helping to mitigate stagnation in iPhone sales. It will certainly be a blow if the line of business suffers. But if it prompts Mr Cook to tear up his own rule book on AI and everything else, it may be worth it in the end.
Mint
7 hours ago
- Mint
Cost pinch is coming for cement companies in Q1
The early onset of the monsoon plays spoilsport for cement demand and prices. Also, a temporary rise in power and fuel costs (P&F) is on the cards for cement makers in the June quarter (Q1FY26). The cost of imported petroleum coke (pet coke) saw a sudden spike in March. A surge in demand by Chinese companies in anticipation of higher tariffs led to pre-booking, which translated into higher procurement costs. P&F costs are estimated at 30-35% of the cement sector's total production cost. Petcoke, which is derived from oil refining, is a key input material for cement manufacturers. Typically, cement companies import petcoke and stock fuel inventories for two-three months. So, the impact on profitability due to movement in fuel costs comes with a lag. Although spot international petcoke cost has now cooled off to $104/tonne from around $122/tonne in March, cement companies with a relatively higher reliance on this fuel could feel the heat in Q1FY26. Also read: Meta in talks to invest nearly $10 billion in artificial intelligence startup Scale AI 'On average, this should translate into a P&F cost/tonne increase of ₹75 for Indian cement companies during Q1FY26 on a sequential basis. North-focused cement makers Shree Cement Ltd and JK Cement could be most hurt," said Kunal Shah, analyst at DAM Capital. The fuel mix of Shree Cement and JK Cement comprises 95% and 70% petcoke, respectively. On the other hand, UltraTech Cement Ltd should be least affected given material exposure to imported coal, where cost trends were favourable in Q4FY25, he added. (See chart 1) To counter fuel cost volatility and reduce carbon footprint, cement companies have been enhancing their cost efficiency by investing in green energy and waste heat recovery systems. For instance, Ambuja eyes cost savings of ₹500-550/tonne by FY28 and has achieved around ₹150-170/tonne in FY25. Further savings of ₹100/tonne is likely in FY26. Dalmia Bharat Ltd expects to meet half of its ₹150–200/tonne cost savings target in FY26. These are steps in the right direction, but they would yield outcomes gradually. Cement prices However, in the current backdrop, if cement prices sustain at higher levels, companies could get some cushion from this cost bump. In June so far, cement prices in the trade segment at pan-India level are up by ₹2/bag month-on-month to ₹358/bag, according to Nomura Global Markets Research. One cement bag weighs 50kg. This is largely led by a ₹19/bag hike in the south, although cement prices are marginally down by ₹2-5/bag in other regions. In Q1FY26 so far, the average pan-India trade segment cement price is up ₹12/bag sequentially to ₹356/bag, the Nomura report said on 4 June. The brokerage cautions that pricing indiscipline amid industry consolidation will likely keep trade prices range-bound. Also read: Policy U-turn? New govt notice hints at easier local sourcing rules for telecom equipment makers Dealer channel checks by brokerages show that cement demand has been in the low single digits in Q1FY26 so far. Q1 will be followed by a seasonally weak Q2 as construction activities tend to be dull during the monsoon season. So, depending upon the pace of demand recovery, any meaningful improvement in cement prices could happen in H2FY26. Large cement stocks have given mixed returns in 2025 so far. On a one-year forward EV/Ebitda, the sector is trading at a valuation multiple of 20.6x, which is around a 25% premium to the long-term average, according to Motilal Oswal Financial Services. The sector's valuation declined around 30% by March 2025 from its peak in June/July 2024 due to weaker-than-estimated demand growth, continuing pricing pressure, and an increase in fuel prices, it said in a report. For rich valuations to justify realisations, they have to meaningfully improve. Key takeaways Also read: Not Ozempic, in India THIS weigh-loss and diabetes drug from Eli Lilly sees sales jump 60% — what is it?
