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Tag: Meta AI

  • Nvidia Spends $900 Million to Hire Enfabrica CEO and License Startup’s Technology

    According to a report by CNBC, Nvidia recently spent more than $900 million to license Enfabrica’s technology and hire Rochan Sankar, the CEO of the artificial intelligence hardware business, along with other staff members. According to the report, Nvidia is paying cash and stock in a deal that is reminiscent of recent AI talent acquisitions done by Meta and Google.

    The report further stated that the acquisition was finalised last week, and Rochan Sankar, the CEO of Enfabrica, has joined Nvidia. Since the introduction of OpenAI’s ChatGPT in late 2022, Nvidia has been the mainstay of the AI boom. Large language models are trained using the company’s graphics processing units (GPUs), which are typically purchased in large clusters and enable giant cloud providers to provide AI services to customers.

    Nvidia Building a Strong AI Network

    Nvidia’s latest AI chips, such as the A100, came in towering racks with 72 GPUs installed and cooperating, whereas its older models were single processors that slid into servers. Microsoft stated on September 18 that the $4 billion data centre in Wisconsin would house that kind of technology.

    The 2019-founded company Enfabrica claims that its technology can link over 100,000 GPUs. Nvidia may be able to provide integrated systems around its processors with the aid of this technology, enabling clusters to function as a single computer. In 2023, Nvidia made a $125 million Series B investment in Enfabrica under the leadership of Atreides Management.

    The business claimed that the valuation was five times higher than its Series A capital, but it did not reveal it at the time. Spark Capital, Arm, Samsung, and Cisco were among the investors who helped Enfabrica raise an additional $115 million towards the end of last year. The post-money valuation was approximately $600 million, according to PitchBook.

    Nvidia’s Competitors also Hiring Elite AI Talent

    Through agreements that resemble acquisitions, tech powerhouse Meta, Google, Microsoft, and Amazon have all heavily invested in hiring elite AI talent. Because of the agreements, the companies are able to hire outstanding researchers and engineers without having to worry about the regulatory complexities associated with acquisitions.

    The largest of these transactions occurred in June, when Meta acquired a 49% share in Scale AI and paid $14.3 billion to Alexandr Wang and other Scale AI founders. A month later, Google revealed that it had reached a $2.4 billion deal, including licence costs, to hire Varun Mohan, co-founder and CEO of Windsurf, a business that specialises in artificial intelligence code, along with other R&D staff. Google struck a similar agreement to hire Character’s founders last year. AI. Amazon did the same for Adept, while Microsoft did the same for Inflection.

    Quick
    Shots

    •Nvidia’s deal mirrors AI talent
    acquisitions by Meta, Google, Microsoft & Amazon.

    •Nvidia GPUs power large language
    model training and dominate AI infrastructure.

    •Nvidia had already invested $125M in
    Enfabrica’s Series B in 2023.

    •Enfabrica raised funds from Spark
    Capital, Arm, Samsung, Cisco, hitting around $600M valuation.

  • Meta Launches Ray-Ban Smart Glasses and Neural Band to Redefine Wearable Tech

    At its Connect event on September 17, Meta CEO Mark Zuckerberg unveiled the company’s newest wearable technology: the Meta Ray-Ban Display glasses and the matching Meta Neural Band. Meta’s first AI glasses with a full-colour, high-resolution in-lens display are the Ray-Ban Display.

    Users can preview images, check messages, and respond to AI prompts without glancing down at their phones thanks to the glasses. The display, in contrast to conventional smart glasses, is made for quick, glanceable interactions and is discrete when not in use.

    What is Meta’s New Neural Band?

    Each pair comes with the Meta Neural Band, a wrist-worn gadget that uses minor hand gestures to control the spectacles by deciphering electrical impulses from the wearer’s muscles. In addition to allowing hands-free navigation, this electromyography (EMG) technology may eventually enable users to discreetly “write” messages using finger motions, as Mark Zuckerberg demonstrated during the presentation. The spectacles, which weigh only 69 g and are modelled after Ray-Ban’s Wayfarer design, integrate microphones, speakers, cameras, and the revolutionary display.

    According to Meta, the display reaches over 42 pixels per degree, which is a leading industry standard for a device of this size. With a battery life of up to six hours for mixed use and 30 hours with the portable charging case, the glasses also come with photochromatic Transitions lenses. Additionally, they have a peak brightness of 5,000 nits.

    The Neural Band is IPX7 water-resistant, comes in three sizes, and has a battery life of up to eighteen hours. Meta highlights that only command events are sent to the glasses; all raw EMG data is processed on-device.

    Pricing of Meta’s New Products

    The Meta Ray-Ban Display will go on sale in the US on September 30 at a few shops, including Best Buy, LensCrafters, Ray-Ban Stores, and Verizon. The price of the sunglasses and band is $799. Early 2026 is when it will be available internationally in Canada, France, Italy, and the UK.

    Zuckerberg presented the launch as a component of Meta’s larger initiative to position wearables with AI as the next computing platform. He said at the launch event that today is the beginning of the next phase for wearable technology in general and AI glasses in particular.

    Quick
    Shots

    •First Ray-Ban smart glasses with
    in-lens, full-color, high-resolution display.

    •Users can preview messages, images,
    and AI prompts without checking phones.

    •Wrist-worn device uses EMG signals to
    navigate glasses with subtle hand gestures.

    •42 pixels per degree display, 5,000
    nits brightness, 6-hour battery, and 30-hour charging case.

    •Lightweight 69 g Wayfarer-style frame
    with microphones, speakers, and cameras.

    •IPX7 water-resistant, up to 18-hour
    battery, on-device EMG processing.

  • Chaya Nayak: Indian-Origin AI Expert Behind Llama Joins OpenAI After 9 Years at Meta

    One of Meta’s most seasoned AI leaders has left the company amid the poaching war, as Chaya Nayak, an executive of Indian descent who worked there for almost ten years, announced she was going to join OpenAI.

    Career at Meta — Data for Good & LLaMA

    Her departure from Mark Zuckerberg’s AI division is the most recent in a series of high-profile departures. “I remember my first weeks at Facebook like they were yesterday,” Nayak wrote in a contemplative LinkedIn post announcing her retirement.

    She joined to support the launch of Data for Good, an initiative to demonstrate the potential benefits of data and AI/ML for the global community. Her career was built upon what began as a daring endeavour.

    Operations Handled by Nayak at Meta

    Nayak spent her ten years there working on initiatives that used AI and data to solve practical problems. She led the Facebook Open Research and Transparency (FORT) project, which created resources for scholars to carefully examine Meta’s impact, after playing a significant part in Data for Good. She also helped communities in crises by creating disaster maps, and she actively participated in studies on Meta’s impact on democracy, including those conducted during the US elections in 2020.

    What Her Move Means for the AI Industry?

    Nayak turned her attention to generative AI in more recent years, helping to create three generations of Llama and Meta AI. “I worked on GenAI for the last 2.5 years, creating three generations of Llama and Meta AI, solving challenging problems at breakneck speed, and speculating about the potential social implications of the next wave of AI,” she stated.

    She went on to reflect on her development, saying, “I developed as a leader along the road. I gained self-assurance, the courage to pursue ambitious concepts, and the ability to bounce back when things didn’t work out. Above all, I established a network of friends and coworkers who helped to mould and encourage me along the journey.”

    Nayak’s Future Role

    Nayak will now collaborate on Special Initiatives with Irina Kofman at OpenAI. “Today, I’m joining OpenAI to work with Irina Kofman on Special Initiatives – exploring new opportunities at the frontier of AI,” she tweeted, outlining her next step. “Using all I’ve learnt to work on projects that will help shape the future of technology and society seems like the ideal next step. The journey isn’t over,” she wrote as a hopeful closing to her post.

    Other Meta AI Experts Who Recently Quit

    In recent months, a number of AI specialists have left Meta, including Nayak. According to Wired, at least three workers from Meta’s Superintelligence Labs (MSL) abruptly quit. Ethan Knight, Avi Verma, and Rishabh Agarwal left; Verma and Knight are now going to OpenAI.

    Given her seven-figure compensation, Agarwal’s resignation caused some controversy. Leaving Meta was a “tough decision”, he said in a social media post, but he “felt the pull to take on a different kind of risk”.

    Quick
    Shots

    •Played a key role in building Meta’s
    LLaMA and advancing generative AI.

    •Started career at Meta with Data for
    Good and worked on crisis response, democracy research, and transparency
    initiatives.

    •Led projects like Facebook Open
    Research and Transparency (FORT) and disaster mapping.

    •Helped build three generations of
    LLaMA and Meta AI in just 2.5 years.

  • Mira Murati’s Team Rejects $1B Meta Offer in Stunning AI Power Move

    Mira Murati, the former chief technology officer of OpenAI, is in the news after it was reported that, despite promising an employee $1 billion, Mark Zuckerberg’s Meta company was unable to recruit staff from her organisation. According to a Wired story, Murati’s employees at Thinking Machines Lab have rejected enormous offers from Meta.

    Meta’s $1B Offer to Murati’s Team Falls Flat

    The US IT titan was trying to fill positions at Meta Superintelligence Labs, its new AI business. According to the article, Meta reached out to more than a dozen workers at Murati’s firm, which was only one year old. While others were given $200 to $500 million in compensation over time, one employee received a $1 billion offer. But no one took advantage of Meta’s alluring offer.

    Zuckerberg’s Direct Outreach Signals Urgency

    The story claims that Zuckerberg personally contacted a few of the Thinking Machines Lab staff members. Even though Thinking Machines Lab is a new firm and hasn’t released any products yet, this development showed how much Murati’s team believes in her.

    At the moment, it is worth $12 billion. The former CTO of OpenAI has been in the tech sector for more than ten years. The 36-year-old engineer from Albania is well-known for heading up product development teams for programs like ChatGPT and DALL-E.

    She is renowned for spearheading the design, development, and introduction of automotive goods like the Model X at Tesla Motors. She was formerly also connected to Ultraleap (formerly known as Leap Motion).

    Mira Murati: From OpenAI CTO to AI Visionary

    In November 2023, OpenAI CEO Sam Altman was overthrown in a spectacular coup, and Murati was appointed as the company’s acting CEO. She was one of the executives that expressed disapproval of Altman’s management style.

    Remarkably, Altman was given back his position as CEO a few days later. She quit OpenAI in September 2024 to start her own business in the digital industry. In 2024, Time named her one of the 100 Most Influential People in AI. For “being a leading figure shaping the business world’s increasingly AI-centric future,” she was also named one of the Fortune 100 Most Powerful Women in Commerce for 2023.

    Meta’s AI Ambitions: Shengjia Zhao Joins the Race

    Shengjia Zhao, a co-creator of OpenAI’s ChatGPT, will be the chief scientist of Meta Superintelligence Labs, according to a statement released by Meta CEO Mark Zuckerberg on 25 July. The $14 billion investment in Scale AI is the centrepiece of Zuckerberg’s multibillion-dollar hiring spree in artificial intelligence in recent weeks.

    Zuckerberg revealed a brand-new company in June dubbed Meta Superintelligence Labs, which is composed of leading AI developers and researchers. Although the June message included Zhao’s name among other new staffers, Zuckerberg said that Zhao co-founded the lab and “has been our lead scientist from day one.”

  • Meta Hires ChatGPT Co-Creator Shengjia Zhao to Lead New AI Superintelligence Lab

    Shengjia Zhao, a co-creator of OpenAI’s ChatGPT, will be the chief scientist of Meta Superintelligence Labs, according to a statement released by Meta CEO Mark Zuckerberg on 25 July. The $14 billion investment in Scale AI is the centrepiece of Zuckerberg’s multibillion-dollar hiring spree in artificial intelligence in recent weeks.

    Zuckerberg revealed a brand-new company in June dubbed Meta Superintelligence Labs, which is composed of leading AI developers and researchers. Although the June message included Zhao’s name among other new staffers, Zuckerberg said that Zhao co-founded the lab and “has been our lead scientist from day one.”

    Shengjia Zhao’s Role and Vision at Superintelligence Lab

    Zhao will collaborate closely with Alexandr Wang, the former CEO of Scale AI who is serving as Meta’s chief artificial intelligence officer, and Zuckerberg. In a social media post, Zuckerberg stated, “Shengjia has already pioneered several breakthroughs, including a new scaling paradigm, and distinguished himself as a leader in the field.” “I’m excited to collaborate closely with him to further his scientific vision.”

    Inside Meta’s Multibillion-Dollar AI Ambitions

    According to Zuckerberg’s June memo, Zhao co-founded ChatGPT and contributed to the development of OpenAI’s GPT-4, micro models, 4.1, and O3. He also served as OpenAI’s lead for synthetic data.

    Employees at Meta Superintelligence Labs will work on foundation models, including the Fundamental Artificial Intelligence Research programs and the open-source Llama family of AI models and products. Earlier this month, Zuckerberg announced that the social media business would invest “hundreds of billions of dollars” in AI compute infrastructure. “The upcoming years will be extremely exciting!” On July 25, Zuckerberg wrote.

    According to the Threads article, Zhao is a co-founder of the lab, which runs independently of FAIR, Meta’s well-established AI research section headed by Yann LeCun, a pioneer in deep learning. According to Zuckerberg, Meta wants to develop “full general intelligence” and make its work publicly available. The AI community has expressed both support and scepticism for this approach.

    Meta vs OpenAI: A New Chapter in the AI Talent War

    In addition to hiring about seven to eight researchers, including well-known figures like Xiaohua Zhai, Trapit Bansal, Alexander Kolesnikov, and Lucas Beyer, Meta has been constantly working on enhancing its Superintelligence Labs with significant financial support and leadership appointments.

    A potential strategic change for OpenAI is also indicated by the recent break, as the company abandons its rapid-fire product release methodology in favour of concentrating more on long-term AGI development.

    In the face of escalating competition and internal restructuring, the internal memo referred to the decision to suspend operations as a “reset”.

    The competition for AI expertise is becoming a defining issue for the major players in the industry as Meta expands its own superintelligence lab and offers previously unthinkable compensation packages.

  • Karnataka CM Slams Meta Over ‘Flawed’ Kannada Translations

    “Faulty auto translation of Kannada content on Meta platforms” has drawn harsh criticism from Karnataka Chief Minister Siddaramaiah. This comes after Meta’s automatic translation engine mistranslated a Facebook condolence message from the chief minister’s office and pronounced Siddaramaiah deceased.

    Originally composed in Kannada to lament the passing of legendary actor B. Saroja Devi, the post was incorrectly translated into English, resulting in criticism from Siddaramaiah and a formal letter to Meta. The chief minister claimed on social media site X that inaccurate Kannada content auto-translation on Meta platforms is confusing users and misrepresenting the facts.

    This is particularly risky when it comes to official correspondence. Siddaramaiah also emphasised the need for social media companies to behave properly. Additionally, he warned the public that the translations displayed are frequently incorrect. Such carelessness on the part of tech behemoths can undermine public confidence and comprehension.

    Letter from CM’s Office to Meta India

    K V Prabhakar, the CM’s media advisor, publicly wrote to Meta after the public remark, requesting prompt remedial action. The state administration has expressed worry about the many inaccuracies and, in certain instances, egregious misleadingness of the auto-translation from Kannada to English, according to Prabhakar’s letter to the Meta India team.

    This presents a serious risk, particularly when official declarations, public communications, or crucial messages from the government and chief minister are mistranslated.

    Meta Expanding its Support to Indian Languages

    The occurrence of this incident coincides with Meta’s efforts to increase the number of Indian languages supported on its platforms and services. The platform has added Hindi and Hindi-Romanised script to its list of accessible languages for its Meta AI helper.

    Meta has also improved its ability to fact-check text in a number of Indian languages. In order to incorporate languages like Telugu, Kannada, Malayalam, Tamil, Kashmiri, Bhojpuri, Oriya, and Nepali into its fact-checking programme, it has partnered with organisations and extended its current alliances.

    Meta’s Trouble with AI Continues

    The SuperIntelligence Lab at Meta, established to further the company’s AI goals, is at a turning point. The business is now reevaluating the same tenet that brought it recognition for transparency and innovation acceleration.

    Previously, it set itself apart from covert rivals like OpenAI, Anthropic, and Google by openly disclosing its most potent AI models. Alexandr Wang, the former CEO of Scale AI, was recently named Chief AI Officer by the business, which also announced plans to invest hundreds of billions of dollars in large AI supercomputing clusters called Prometheus and Hyperion.

    Sources familiar with the company’s discussions claim that these actions have successfully eliminated internal opposition to limiting model access. Chinese AI labs have jumped at the chance to assert leadership in the open-source AI space as Meta re-examines its open strategy, potentially creating a long-lasting edge in the global AI infrastructure.

  • OpenAI Unleashes Powerful AI Agent in ChatGPT to Tackle Complex Tasks

    On July 17, OpenAI unveiled a new AI agent for its ChatGPT chatbot, enabling it to do intricate tasks online without human oversight as the Microsoft-backed business steps up its efforts to maintain its lead in the cutthroat AI market.

    Users of ChatGPT’s Pro, Plus, and Team plans may now access the new feature, which integrates previous OpenAI products like Operator and Deep Research into a single system that can interact with websites, analyse data, and have conversations.

    In a blog post, OpenAI stated that it had unlocked whole new potential by combining these complementary qualities. In the same chat, users can now effortlessly move from a straightforward discussion to making action requests.

    The Tasks Agent can Handle

    The agent may take care of things like placing an online clothing order for a certain occasion while accounting for variables like availability, dress code, and weather. According to OpenAI, it can also click, scroll, apply filters, and even verify login credentials.

     With the help of a virtual computer with web access and the ability to connect to programs like Gmail and GitHub, the tool may safely retrieve and act upon personal data when the user gives permission. In the tech sector, artificial intelligence (AI) agents are becoming more popular as the next big thing after digital assistants.

    To increase efficiency and reduce expenses, businesses such as Microsoft, Oracle, and Salesforce have been making significant investments in technology.

    Prior to this, Deep Research focused on information synthesis and summarisation, whereas OpenAI’s Operator enabled ChatGPT to communicate with websites. However, each had its limitations. By integrating their capacities, the new agentic system is intended to overcome those.

    Global AI Space a New Battle-Ground for Tech Firms

    Following the release of ChatGPT Team and integration with Microsoft’s Copilot features in Office products, the launch is a part of OpenAI’s larger push into workplace technologies.

    More features will be added in the upcoming months, according to OpenAI. Amazon hired the co-founders and some of the employees of the AI business Adept last June, while Microsoft signed a $650 million deal with Inflection AI in March 2024 to use the AI start-up’s models and hire its employees.

    In June, Meta made the largest test to date of this growing type of corporate alliances by acquiring a 49% interest in Scale AI. These transactions do not need to be reviewed by US antitrust authorities, in contrast to acquisitions that would grant the buyer a controlling interest.

    If the US authorities  think the deal was set up to evade those standards or hurt competition, they could still investigate it. Since then, other transactions have been the focus of regulatory investigations.

    In an effort to attract elite people in the competition to lead the next wave of AI, tech titans like Alphabet and Meta are aggressively pursuing high-profile acquisitions and offering multi-million dollar compensation packages.

  • Meta to Ditch Llama 4: AI Behemoth Meets an Early End

    Former proponents of democratising artificial intelligence through open-source releases of Llama at Meta, engineers and executives are now contemplating a radical philosophical shift: giving up their top open-source AI model, Behemoth, in favour of creating a closed, proprietary system.

    This possible withdrawal occurs at a critical juncture. Although Meta is considering shutting down, Chinese AI labs have risen to the top, becoming not just competitors in the open-source large language model competition but its clear leaders.

    Meta’s Trouble with AI Continues

    The SuperIntelligence Lab at Meta, established to further the company’s AI goals, is at a turning point. The business is now reevaluating the same tenet that brought it recognition for transparency and innovation acceleration.

    Previously, it set itself apart from clandestine rivals like OpenAI, Anthropic, and Google by openly disclosing its most potent AI models. Alexandr Wang, the former CEO of Scale AI, was recently named Chief AI Officer by the business, which also announced plans to invest hundreds of billions of dollars in large AI supercomputing clusters called Prometheus and Hyperion.

    Sources familiar with the company’s discussions claim that these actions have successfully eliminated internal opposition to limiting model access. Chinese AI labs have jumped at the chance to assert leadership in the open-source AI space as Meta re-examines its open strategy, potentially creating a long-lasting edge in the global AI infrastructure.

    Chinese AI Labs Changing the Dynamics of the Business

    Released under an MIT-style open-weight license, DeepSeek-R1 and DeepSeek-V3 are currently on par with Gemini 2.5 Pro in terms of performance and were apparently trained for a fraction of the price, at about $6 million as opposed to OpenAI’s anticipated $100 million.

    This accomplishment is not unique. China has developed what one venture capitalist called “an arsenal of open-source models,” such as Alibaba’s Qwen 3, a family of models with 128K token context released under the Apache-2.0 license that beats Deepseek V3 on important benchmarks, and Moonshot AI’s Kimi K2, which is excellent at high-code and complex tasks.

    Chinese labs’ advancement and Meta’s simultaneous retreat have had a domino effect on the global tech scene. Countries like Czechia, Australia, Canada, India, and the United States have started to prohibit Chinese LLMs due to data security concerns, even as certain Chinese models gain popularity on GitHub and Hugging Face.

    Prominent venture capitalists, including Marc Andreessen, have warned that China will dominate the global technology stack if Western companies don’t lead in open-source AI. This fear now seems to be coming true more quickly than expected.

    There are several reasons for Meta’s reevaluation. Llama 4, the company’s most recent open-source model, has failed. Meta is under increasing pressure to monetise its AI assets after making significant investments in infrastructure, talent, and computing.

  • OpenAI Hits Pause: Weeklong Shutdown Amid Fierce Talent Tug-of-War with Meta

    According to various media reports, OpenAI is planning a rare company-wide downtime for next week to allow workers to rest following months of demanding 80-hour workweeks.

    The interim closure occurs as the ChatGPT creator struggles to hold onto top staff in the face of significant recruitment offers from Meta, totalling $100 million.

    As the AI powerhouse strives to create artificial general intelligence, the ChatGPT maker has maintained what sources describe as rigorous operational schedules, with personnel putting in 80 hours a week.

    This closure is an unusual step for the company. As per a renowned media house, only executives would continue to work during the break.

    Mark Chen Warns Employees Against Offers From Meta

    In an internal Slack post, Chief Research Officer Mark Chen cautioned colleagues that Meta will probably take advantage of the outage period to prod OpenAI researchers into making judgements quickly.

    In a memo, he stated that Meta is aware that OpenAI is taking this week off and would attempt to use it to compel OpenAI staff to make snap choices. Given that Meta CEO Mark Zuckerberg has hired seven OpenAI researchers in recent weeks, including important contributors to the company’s reasoning models, the timing is crucial.

    Trapit Bansal, a key contributor to OpenAI’s O1 model, Xiaohua Zhai, Alexander Kolesnikov, and Lucas Beyer have joined Meta’s superintelligence lab. The leadership of OpenAI is “recalibrating comp” and looking into “creative ways to recognise and reward top talent,” Chen said.

    The company’s reaction follows CEO Sam Altman’s disclosure that Meta gave certain employees signing incentives worth over $100 million, but subsequent defectors have called these exact amounts “fake news”.

    Altman argues that none of OpenAI’s top talent have chosen to accept them despite the financial strain, attributing retention to the company’s better innovation skills and mission focus. The company’s main goal will be to achieve artificial general intelligence, rather than launching new products frequently.

    Intense War on AI Talent Acquisition

    Indeed, this case exemplifies how the AI talent war has escalated significantly. In addition to hiring about seven to eight researchers, including well-known figures like Xiaohua Zhai, Trapit Bansal, Alexander Kolesnikov, and Lucas Beyer, Meta has established its own Superintelligence Labs with significant financial support and leadership appointments.

    A potential strategic change for OpenAI is also indicated by the recent break, as the company abandons its rapid-fire product release methodology in favour of concentrating more on long-term AGI development.

    In the face of escalating competition and internal restructuring, the internal memo referred to the decision to suspend operations as a “reset”.

    The competition for AI expertise is becoming a defining issue for the major players in the industry as Meta expands its own superintelligence lab and offers previously unthinkable compensation packages.

  • WhatsApp Unveils AI Tool to Summarize Unread Conversations

    The most recent AI use case WhatsApp is providing for its users is generating a list of all the communications you haven’t read.

    The feature is dubbed AI-powered message summaries, as you might expect. It will use the new private computing system that the company has set up especially to protect and encrypt its AI data.

    According to WhatsApp, the new AI feature may be used in both private and group chats, but in order to see the summary, you must actively activate the tool.

    Using Meta AI to Summarise Chat

    According to WhatsApp, these chat summaries are created by Meta AI and are solely viewable to users. WhatsApp, Meta, and the chatbot users used to generate the list are unable to read these summaries.

    They will appear in bullet points, with the private processing label next to the lock icon and a visible-only-to-users label at the top. For the time being, WhatsApp is only making this functionality available to its customers in the US in English; later this year, more areas and languages will be enabled.

    In order to keep the conversations private, secure, and unusable for AI system training, Meta has discussed its own private computing system that runs in a different cloud tier.

    WhatsApp uses Meta AI throughout the platform with great care, and in order to maintain user satisfaction, the platform needs a strong back end.

    WhatsApp is working to put safeguards in place to prevent this from becoming a problem, but AI training is being carried out using our data without the user’s knowledge.

    WhatsApp to Add Ads on its Platform

    The WhatsApp advertising that the Meta-owned messaging firm has formally unveiled won’t appear in users’ calls or chats, so don’t worry. Instead of showing up in users’ personal area, these advertisements will show up in the Updates tab.

    The Updates page, where one may view WhatsApp Status posts, is where Meta is placing them.  Therefore, no, consumers’ private discussions are not being interrupted by advertisements for shoes or shampoo. These sponsored posts, such as Instagram Stories with occasional promotions, will appear between friends’ status updates.

    In an official blog post, WhatsApp stated that these new features will only be available on the Updates page, separate from your private conversations. This implies that a user’s experience remains unchanged if he or she solely uses WhatsApp to communicate with friends and family.

    Minting More Revenue Through this Move

    WhatsApp did not just adopt this notion without any prior planning. Since acquiring WhatsApp, Meta has considered monetising the app and introducing advertisements to make money.

    Meta always had a distinct idea, even though WhatsApp’s initial creators opposed the messaging service’s use of advertisements.  In 2020, they postponed their advertising goals, but they have since returned with a strategy that says it respects users’ privacy.