logo
Meta AI on WhatsApp to support image analysis like ChatGPT and Gemini for free

Meta AI on WhatsApp to support image analysis like ChatGPT and Gemini for free

More than a year after WhatsApp introduced Meta AI, which allows users to interact with AI more intuitively, it's now stepping up its game. In a significant move towards deeper AI integration, the platform is reportedly working on a feature that will allow Meta AI to analyse user-shared images and documents. Based on the input, Meta AI will offer instant insights like verifying authenticity or describing visual content.
What is this feature?
In a recent post on X, WABetaInfo revealed that users will soon be able to forward images or files directly to Meta AI and ask questions about them. This functionality, reminiscent of what's available on ChatGPT (paid version) or Gemini, expands Meta AI's utility beyond just text prompts.
But, what's the catch? WhatsApp plans to offer these features for free, potentially making high-end AI capabilities more accessible to millions.
How does this feature impact users' privacy?
While there have always been concerns about AI storing your private information and data, Meta clarifies that the AI can only access content that users explicitly share. However, the feature's usage terms have outlined a clause that states shared inputs may be used to improve its AI systems. This might lead to some hesitation among privacy-conscious users despite the feature's utility.
Feature availability and accessibility
The image analysis feature by Meta AI is currently being rolled out to select beta testers on both iOS and Android platforms. According to WABetaInfo, users on WhatsApp beta for iOS version 25.17.10.78 and Android version 2.25.18.14 may be able to try it out, depending on their eligibility and update history. Some users might receive access by installing certain previous updates.
Since the feature is still in the testing phase, a wider release is expected once Meta completes internal testing and gathers user feedback.
What is the new AI tab?
Alongside image analysis, WhatsApp is also gearing up to roll out a dedicated 'AI' tab. This feature will enable users to build their own custom AI chatbots without any coding. Through a guided, step-by-step interface, users will be able to create bots tailored for personal use or simple business functions.
With these developments, Meta is clearly aiming to make AI more approachable, powerful, and personal, right from within the world's most widely used messaging app.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Google revives Snapseed on iPhone with major update and new editing tools
Google revives Snapseed on iPhone with major update and new editing tools

Hindustan Times

time25 minutes ago

  • Hindustan Times

Google revives Snapseed on iPhone with major update and new editing tools

Google has rolled out a major update to Snapseed, its photo editing app for iOS devices. The new version 3.0 brings a redesigned interface for both iPhone and iPad users. This update introduces a grid view displaying all edited images, making it easier to browse through past work. Navigation now relies on three distinct tabs: Looks, Faves, and Tools. The Faves tab is new and allows users to save frequently used editing tools for quick access. Snapseed 3.0: Redesigned Interface and New Features Snapseed offers over 25 editing tools and filters, including recently added film-style filters. Google also updated the app's icon to a simpler design. Also read: Neurotech and brain data: New frontier of privacy concerns Snapseed has been part of Google since 2012, but it has seen little development over recent years. The last significant update came in 2021, followed by minor changes in 2023 and 2024. Because the app processes images locally on the device and does not depend on cloud services, Google appeared to have deprioritised its development. The sudden release of version 3.0 signals renewed attention to the app. Also read: Snap to launch smart glasses for users in 2026 in challenge to Meta The updated interface focuses on ease of use. Users begin editing by tapping a circular plus button at the bottom of the screen. The new tab system separates editing functions clearly: Looks provides preset styles, Faves stores user-selected tools, and Tools offers the full range of editing features. The export option moved to the top-right corner for easier access. Editing tools include options to adjust image details, correct tonality and white balance, and apply effects like lens blur and vignette. Retouch features allow selective editing, brushing, healing, cropping, and perspective changes. The Style tab includes film filters along with options such as black and white, HDR, and drama effects. Creative tools cover double exposure, frames, and text additions. Also read: Nintendo sells record 3.5 million Switch 2 consoles in four days In addition to the interface overhaul, Snapseed now features a simplified app icon and a 'More to come, stay tuned' message, which indicates further developments may follow. However, Google has not confirmed whether the 3.0 update will be available on Android.

AI chatbots need more books to learn from, so more libraries are opening their stacks
AI chatbots need more books to learn from, so more libraries are opening their stacks

The Hindu

time31 minutes ago

  • The Hindu

AI chatbots need more books to learn from, so more libraries are opening their stacks

Everything ever said on the internet was just the start of teaching artificial intelligence about humanity. Tech companies are now tapping into an older repository of knowledge: the library stacks. Nearly one million books published as early as the 15th century — and in 254 languages — are part of a Harvard University collection being released to AI researchers Thursday. Also coming soon are troves of old newspapers and government documents held by Boston's public library. Cracking open the vaults to centuries-old tomes could be a data bonanza for tech companies battling lawsuits from living novelists, visual artists and others whose creative works have been scooped up without their consent to train AI chatbots. 'It is a prudent decision to start with public domain data because that's less controversial right now than content that's still under copyright,' said Burton Davis, a deputy general counsel at Microsoft. Davis said libraries also hold 'significant amounts of interesting cultural, historical and language data' that's missing from the past few decades of online commentary that AI chatbots have mostly learned from. Supported by 'unrestricted gifts' from Microsoft and ChatGPT maker OpenAI, the Harvard-based Institutional Data Initiative is working with libraries around the world on how to make their historic collections AI-ready in a way that also benefits libraries and the communities they serve. 'We're trying to move some of the power from this current AI moment back to these institutions,' said Aristana Scourtas, who manages research at Harvard Law School's Library Innovation Lab. 'Librarians have always been the stewards of data and the stewards of information.' Harvard's newly released dataset, Institutional Books 1.0, contains more than 394 million scanned pages of paper. One of the earlier works is from the 1400s — a Korean painter's handwritten thoughts about cultivating flowers and trees. The largest concentration of works is from the 19th century, on subjects such as literature, philosophy, law and agriculture, all of it meticulously preserved and organised by generations of librarians. It promises to be a boon for AI developers trying to improve the accuracy and reliability of their systems. 'A lot of the data that's been used in AI training has not come from original sources,' said the data initiative's executive director, Greg Leppert, who is also chief technologist at Harvard's Berkman Klein Center for Internet & Society. This book collection goes "all the way back to the physical copy that was scanned by the institutions that actually collected those items,' he said. Before ChatGPT sparked a commercial AI frenzy, most AI researchers didn't think much about the provenance of the passages of text they pulled from Wikipedia, from social media forums like Reddit and sometimes from deep repositories of pirated books. They just needed lots of what computer scientists call tokens — units of data, each of which can represent a piece of a word. Harvard's new AI training collection has an estimated 242 billion tokens, an amount that's hard for humans to fathom but it's still just a drop of what's being fed into the most advanced AI systems. Facebook parent company Meta, for instance, has said the latest version of its AI large language model was trained on more than 30 trillion tokens pulled from text, images and videos. Meta is also battling a lawsuit from comedian Sarah Silverman and other published authors who accuse the company of stealing their books from 'shadow libraries' of pirated works. Now, with some reservations, the real libraries are standing up. OpenAI, which is also fighting a string of copyright lawsuits, donated $50 million this year to a group of research institutions including Oxford University's 400-year-old Bodleian Library, which is digitising rare texts and using AI to help transcribe them. When the company first reached out to the Boston Public Library, one of the biggest in the U.S., the library made clear that any information it digitised would be for everyone, said Jessica Chapel, its chief of digital and online services. 'OpenAI had this interest in massive amounts of training data. We have an interest in massive amounts of digital objects. So this is kind of just a case that things are aligning,' Chapel said. Digitisation is expensive. It's been painstaking work, for instance, for Boston's library to scan and curate dozens of New England's French-language newspapers that were widely read in the late 19th and early 20th century by Canadian immigrant communities from Quebec. Now that such text is of use as training data, it helps bankroll projects that librarians want to do anyway. 'We've been very clear that, 'Hey, we're a public library,'" Chapel said. 'Our collections are held for public use, and anything we digitised as part of this project will be made public.' Harvard's collection was already digitised starting in 2006 for another tech giant, Google, in its controversial project to create a searchable online library of more than 20 million books. Google spent years beating back legal challenges from authors to its online book library, which included many newer and copyrighted works. It was finally settled in 2016 when the U.S. Supreme Court let stand lower court rulings that rejected copyright infringement claims. Now, for the first time, Google has worked with Harvard to retrieve public domain volumes from Google Books and clear the way for their release to AI developers. Copyright protections in the U.S. typically last for 95 years, and longer for sound recordings. How useful all of this will be for the next generation of AI tools remains to be seen as the data gets shared Thursday on the Hugging Face platform, which hosts datasets and open-source AI models that anyone can download. The book collection is more linguistically diverse than typical AI data sources. Fewer than half the volumes are in English, though European languages still dominate, particularly German, French, Italian, Spanish and Latin. A book collection steeped in 19th century thought could also be 'immensely critical' for the tech industry's efforts to build AI agents that can plan and reason as well as humans, Leppert said. 'At a university, you have a lot of pedagogy around what it means to reason,' Leppert said. 'You have a lot of scientific information about how to run processes and how to run analyses.' At the same time, there's also plenty of outdated data, from debunked scientific and medical theories to racist narratives. 'When you're dealing with such a large data set, there are some tricky issues around harmful content and language," said Kristi Mukk, a coordinator at Harvard's Library Innovation Lab who said the initiative is trying to provide guidance about mitigating the risks of using the data, to 'help them make their own informed decisions and use AI responsibly.'

AMD unveils AI server as OpenAI taps its newest chips
AMD unveils AI server as OpenAI taps its newest chips

The Hindu

time32 minutes ago

  • The Hindu

AMD unveils AI server as OpenAI taps its newest chips

Advanced Micro Devices CEO Lisa Su on Thursday unveiled a new artificial intelligence server for 2026 that aims to challenge Nvidia's flagship offerings as OpenAI's CEO said the ChatGPT creator would adopt AMD's latest chips. Su took the stage at a developer conference in San Jose, California, called "Advancing AI" to discuss the MI350 series and MI400 series AI chips that she said would compete with Nvidia's Blackwell line of processors. The MI400 series of chips will be the basis of a new server called "Helios" that AMD plans to release next year. The move comes as the competition between Nvidia and other AI chip firms has shifted away from selling individual chips to selling servers packed with scores or even hundreds of processors, woven together with networking chips from the same company. The AMD Helios servers will have 72 of AMD's MI400 series chips, making them comparable to Nvidia's current NVL72 servers, AMD executives said. During its keynote presentation, AMD said that many aspects of the Helios servers - such as the networking standards - would be made openly available and shared with competitors such as Intel. The move was a direct swipe at market leader Nvidia, which uses proprietary technology called NVLink to string together its chips but has recently started to license that technology as pressure mounts from rivals. "The future of AI is not going to be built by any one company or in a closed ecosystem. It's going to be shaped by open collaboration across the industry," Su said. Su was joined onstage by OpenAI's Sam Altman. The ChatGPT creator is working with AMD on the firm's MI450 chips to improve their design for AI work. "Our infrastructure ramp-up over the last year, and what we're looking at over the next year, have just been a crazy, crazy thing to watch," Altman said. During her speech, executives from Elon Musk-owned xAI, Meta Platforms and Oracle took to the stage to discuss their respective uses of AMD processors. Crusoe, a cloud provider that specializes in AI, told Reuters it is planning to buy $400 million of AMD's new chips. AMD's Su reiterated the company's product plans for the next year, which will roughly match the annual release schedule that Nvidia began with its Blackwell chips. AMD shares ended 2.2% lower after the company's announcement. Kinngai Chan, an analyst at Summit Insights, said the chips announced on Thursday were not likely to immediately change AMD's competitive position. AMD has struggled to siphon off a portion of the quickly growing market for AI chips from the dominant Nvidia. But the company has made a concerted effort to improve its software and produce a line of chips that rival Nvidia's performance. AMD completed the acquisition of server builder ZT Systems in March. As a result, AMD is expected to launch new complete AI systems, similar to several of the server-rack-sized products Nvidia produces. Santa Clara, California-based AMD has made a series of small acquisitions in recent weeks and has added talent to its chip design and AI software teams. At the event, Su said the company has made 25 strategic investments in the past year that were related to the company's AI plans. Last week, AMD hired the team from chip startup Untether AI. On Wednesday, AMD said it had hired several employees from generative AI startup Lamini, including the co-founder and CEO. AMD's software called ROCm has struggled to gain traction against Nvidia's CUDA, which is seen by some industry insiders as a key part of protecting the company's dominance. When AMD reported earnings in May, Su said that despite increasingly aggressive curbs on AI chip exports to China, AMD still expected strong double-digit growth from AI chips.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store