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Music is the soul of culture, carrying history, language, and emotion across generations. For the Baloch community, the suroz—a traditional bowed string instrument—is a symbol of identity and heritage. However, in today’s hyper-digital world, many regional languages and traditional musical forms face a steep hurdle: a lack of representation in modern technology. Enter Suroz AI, a groundbreaking multi-language AI music generator created by the tech collective BalochDev. Designed specifically to preserve, celebrate, and expand the reach of Balochi music, Suroz AI is bridging the gap between centuries-old folklore and cutting-edge artificial intelligence. What is Suroz AI? Suroz AI is a specialized platform that allows users to generate original songs in the Balochi language using artificial intelligence. Historically, creating high-quality studio tracks required expensive equipment, engineering skills, and massive resources. Suroz AI democratizes this process. Whether you are a poet looking to set your verses to melody, a content creator in need of authentic regional background scores, or simply a music lover, the platform turns text inputs and prompts into fully realized Balochi tracks. Preserving Culture Through Code The primary mission behind Suroz AI isn't just technological novelty; it is cultural preservation. Because major mainstream AI models are primarily trained on Western and widely spoken global languages, regional languages like Balochi are often digitally marginalized. By building a dedicated tool, the developers at BalochDev are ensuring that Balochi linguistic nuances, poetic structures, and rhythmic patterns are coded into the future of the internet. It gives the community a powerful digital sandbox to keep their language vibrant, modern, and highly accessible to the younger generation. How it Works (and How to Get Started) Suroz AI is built to be highly accessible, operating on a community-supported model: The Free Tier: To ensure everyone can experience the technology, every registered user gets three free song generations per month. High-Powered GPU Processing: Generating authentic AI music requires massive computing power. Because these server resources are rented by the second, the platform relies on community support and donations to keep the queues moving smoothly during high-traffic periods. Join the Community: You can start creating your own tracks directly via the portal at BalochDev. For the latest updates on server capacity, new features, and community tracks, you can follow the official channel on Instagram @suroz.ai. The Future of Regional AI Suroz AI proves that artificial intelligence doesn't have to homogenize global culture—it can be used to amplify local voices. By putting the power of music creation into the hands of the community, Suroz AI is ensuring that the traditional echoes of the Baloch heritage continue to resonate across the global digital landscape.

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Google’s October 16, 2026 privacy-policy update creates a new pathway for signals from connected Google apps to influence personalized advertising in Google services that support personalized ads. The immediate relevance is Google’s Personal Intelligence experience in Gemini and the ongoing testing of ads in AI Mode within Search. For PPC teams, the change does not create a new audience segment or a targeting switch in Google Ads. Advertisers cannot access a person’s Gmail messages, Google Photos, or Drive files. But for users who choose to connect those apps and enable the relevant experiences, Google may use summaries, excerpts, and inferences from that connected data to tailor content and, in some cases, ads. That makes the update important less as a new campaign setting than as a potential change to the context in which AI Mode ad experiences are personalized. What Google’s policy update changes Google’s privacy policy was updated effective October 16, 2026 to include an exception covering data from connected Google apps. Under that exception, data from apps such as Gmail, Google Photos, and Drive can inform personalized ads when those apps are connected to other Google services that support personalized advertising. The policy change sits alongside Personal Intelligence, an opt-in capability that lets Gemini and AI Mode use connected-app signals to produce more personally relevant responses. Google’s materials describe this as a way to draw on information from a user’s connected services, subject to controls and privacy safeguards. The key distinction is that connected-app data is not being presented as a new advertiser-owned data source. Rather, Google can use its understanding of an opted-in user’s context when deciding how to personalize an experience. In the AI Mode advertising tests reported by Search Engine Journal, that context can potentially affect ads shown to users with Personal Intelligence turned on. How the connected-data workflow works The available information points to a user-controlled sequence: A user connects eligible Google apps, such as Gmail, Photos, or Drive, to a supported experience. The user enables Personal Intelligence or otherwise opts into the connected-data workflow. Google uses relevant signals, summaries, excerpts, or inferences to improve AI-generated responses. Where personalized ads are supported, those signals may also inform the ad experience. This does not mean an advertiser can target someone because of a specific email, image, or document. Google does not provide advertisers with direct access to raw Gmail or Photos content through this setup. It also does not establish that every AI Mode ad will use connected-app signals. Google’s policy also sets boundaries around sensitive-data categories. The policy language further says connected-app data may be used to train Google’s AI models. The exact implementation can vary by product and user setting, so marketers should avoid assuming a uniform data flow across all Google surfaces. Why AI Mode makes this significant Traditional search advertising is generally interpreted through keyword, query, audience, and contextual signals that advertisers can at least partially observe and manage in campaign workflows. AI Mode changes the experience by generating answers and helping users explore more complex questions. Personal Intelligence adds another layer: the answer may reflect information a user has elected to connect. If ads are included in that environment, relevance may be shaped by a richer set of user-context signals than the query alone. That could alter how users encounter commercial information, particularly for decisions where an AI assistant can use personal context to refine recommendations or next steps. However, the current rollout status matters. AI Mode ads connected to Personal Intelligence are being tested, not described as a broadly available advertiser feature. There is no evidence in the supplied research of a dedicated campaign control for these signals or of broad, granular reporting for advertisers. The measurement gap for advertisers The most practical challenge is visibility. Advertisers may see aggregate performance from AI-related inventory or existing Google Ads reporting where available, but there is no dedicated Personal Intelligence reporting that isolates ad impressions or outcomes influenced by connected-app signals. That leaves several questions unanswered for PPC practitioners: Whether and how Google will identify Personal Intelligence-influenced ad delivery in reporting. Which AI Mode placements, formats, or query types are included as testing develops. Whether performance can be separated from other Search or AI-driven inventory. How much user adoption of connected apps and Personal Intelligence will affect the addressable audience. What controls advertisers will receive, if any, over participation or measurement. This is also a reminder not to overinterpret performance shifts. A change in conversion rate, click-through rate, or search-query mix would not by itself prove that connected-app data influenced ad delivery. AI Mode testing, creative changes, auction dynamics, and broader demand conditions can all affect campaign outcomes. What PPC teams should do now The appropriate response is monitoring and measurement discipline, not a rush to rebuild targeting strategies around inaccessible signals. Review AI-related Search reporting and product announcements for changes in inventory definitions, placement transparency, and segmentation. Keep notes on when tests or policy updates occur, especially if account-level performance patterns change. Where possible, compare trends across campaign types and conversion actions rather than attributing changes to one new factor. Privacy and brand teams should also understand the user side of the change. Users can opt out through My Ad Center or disconnect connected apps. The relevance of these signals therefore depends on user choice, not merely on an advertiser’s campaign configuration. Finally, teams should make sure their landing pages and conversion measurement remain useful in AI-assisted journeys. Clear offers, accurate product information, fast pages, and reliable first-party conversion tracking are still more actionable than trying to infer unavailable personal signals. For teams assessing how AI-driven discovery may affect their wider visibility, create a GEO Search Leads account. It provides a practical starting point for assessing website GEO readiness and identifying optimization opportunities as Google and other discovery platforms change how they generate answers, recommendations, and commercial experiences. Frequently Asked Questions Can advertisers target Gmail, Google Photos, or Drive data directly? No. The available research indicates that advertisers do not receive direct access to raw content from Gmail, Google Photos, or Drive. Google may use summaries, excerpts, and inferences from connected apps to personalize supported experiences for opted-in users. Is Google AI Mode advertising broadly available with Personal Intelligence? No. The supplied research describes AI Mode ads for users with Personal Intelligence enabled as a test. It does not establish broad availability or a dedicated advertiser control for this workflow. Can users stop connected-app data from influencing personalized ads? Users can opt out through My Ad Center or disconnect the relevant apps. The connected-data workflow depends on user-controlled settings and connections. Is there dedicated reporting for Personal Intelligence ad activity? Not currently, according to the supplied research. Advertisers do not have dedicated Personal Intelligence reporting to isolate ad activity influenced by connected-app signals. Conclusion Google’s policy update documents a meaningful expansion of the signals that can inform personalized experiences for users who opt into connected apps and Personal Intelligence. For advertisers, the near-term reality is limited control and limited measurement, not a new targeting product. The key task is to watch how AI Mode testing, reporting, and user controls develop before drawing conclusions about campaign impact.

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OpenAI is about to raise $11 billion, much less than the $30 billion it was targeting, with its valuation falling short to $1.25 trillion

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Multi-model risk scoring and multimodal detection of suspected minors help the adults-only platform find and act on harmful content in real time SINGAPORE – Media OutReach Newswire – 31 October 2026 – Chamet, a global live streaming and video chat platform with more than 50 million downloads on Google Play worldwide, is expanding its use […] The post Chamet Strengthens Multimodal AI Moderation for Live Video Chat as Singapore’s Online Safety Commission Takes Effect appeared first on Naijaonpoint.com.ng.

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Expert warns of 'AI hacking bloodbath' following massive Binance cryptocurrency theft Fox Business Binance’s $6.3 Billion Hack Is Just the Start of a Risky New Era The New York Times BTC news: Bitcoin stolen from Binance tops Tesla’s holdings and is over twice El Salvador’s reserve CoinDesk Gone in 20 minutes: How the biggest heist in crypto history unfolded Reuters 'Bad time to troll': Binance co-founder Zhao asks Musk for support after hack CNBC

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OpenAI has cut its latest fundraising target by $10 billion and is now seeking $20 billion at a $1.25 trillion valuation, the Financial Times reported. The company had previously aimed to raise $30 billion at a $1.4 trillion valuation.

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Lenovo Brings Tianxi AI 4.5 to AI PCs, Letting Phones and Tablets Hand Off Tasks to a Desktop Pandaily

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The workflow spans literature analysis, candidate design, experimental planning and industrial decision support, extending AI4S into materials research

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Meta's current AA- credit rating is the fourth-highest investment-grade score, and a one-notch downgrade would still leave it solidly in high-grade territory.

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Nolan Dudik, the Douglas County Sheriff’s deputy who was fired in May, was arrested Thursday morning by the Nebraska State Patrol, according to Sheriff Aaron Hanson.

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The race to build AI infrastructure is creating enormous new risks that could threaten the financing for these giant digital warehouses powering the artificial intelligence boom.

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Google built its empire on search ads, but its own AI is now undercutting that golden business model. Whether Alphabet can replace that revenue before it erodes is the question keeping analysts up at night.

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Today, Groundwork Collaborative released a new report exposing how corporate consolidation and a lack of basic price transparency in the funeral industry are driving up costs and forcing grieving families into debt at one of the most vulnerable moments of their lives. The new report, Death, Debt, and Paperwork: How the Business of Dying is Burying American Families by Groundwork’s Associate Director of Policy and Advocacy, Zoe Butler, analyzes Bureau of Labor Statistics data to find funeral costs have skyrocketed in recent decades, rising 310% since 1986 and now exceeding $7,700 on average, with many services topping $10,000. These costs are often due within days of an individual’s passing, even as families’ assets remain tied up in probate for months and are subject to administrative and legal fees. As a result, more families are forced to take on debt just to bury a loved one. The share of grieving family members taking on debt after a loved one’s death rose from 14% in 2024 to 37% in 2025. At the same time, the industry operates with little transparency or competition. Corporate consolidation has allowed large firms to raise prices while fewer than one in five funeral homes post prices online, leaving families to make urgent financial decisions without clear information or the ability to comparison shop. Groundwork’s President and CEO, Lindsay Owens, said: “No one should be forced into debt just to bury a loved one, but as corporations exploit families at their most vulnerable moments, more and more grieving loved ones are being driven to the brink to pay for a dignified death. Funeral companies are raising prices, hiding costs, and taking advantage of a system that gives grieving families no time and no transparency. Policymakers must act to bring down prices, increase accountability, and ensure families can access what is already theirs without delay.”

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An unreleased version of the AI model has found and chained multiple vulnerabilities in Chrome, Safari, Android, Windows, and Linux, Anthropic says. Read more → The post Claude Model Builds Exploits Across Major Browsers & OSes appeared first on IT Security News.

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Day two of Moonshot by TechCabal 2026 brought together technology leaders, startup founders, creatives, investors and industry professionals for conversations on the future of Africa’s digital economy, with sessions spanning artificial intelligence, financial technology, the creative economy and emerging technologies. The post Photos: Tech, AI, creative economy dominate conversations on Day 2 of Moonshot 2026 appeared first on Vanguard News.

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Anthropic, the artificial intelligence company behind the Claude chatbot, is reportedly preparing for a potentially record-breaking initial public offering (IPO) that could value the company at as much as $2 trillion. The proposed listing highlights the growing financial ambitions of the AI industry, but it also raises questions about profitability, infrastructure spending, and the potentially […] The post Anthropic eyes record-breaking IPO amid warnings of AI’s existential risks appeared first on BLiTZ.

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President Trump reportedly chose to do nothing in response.

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Combined company to have same share of the US online grocery market as Walmart

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The 2024 APRA Screen Music Awards showcased excellence in Australian screen composition, with Antony Partos winning three awards for 'Oddity' and Adam Gock/Dinesh Wicks securing their 12th title. The event also brought attention to the growing threat of AI scraping, with industry leaders advocating for strong copyright protection to safeguard human creativity and fair payment for creators.

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Recruitment billings rose 12.6% year over year, and the board declared an interim dividend of ₹3 per share.

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Google Cloud hosted Cloud Day India 2026 at Andaz Delhi, bringing together over 600 founders, promoters, managing directors and technology leaders from India’s fast-growing small and medium-sized businesses… The post Google Cloud Brings Production-Ready AI to India’s Small and Mid-Sized Businesses at Cloud Day India 2026 appeared first on CELLIT - Technology News Magazine.

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Software-as-a-service company Freshworks has acquired Israel-based AI startup Robusta to strengthen its IT operations platform, Freshservice. The financial details of the acquisition were not disclosed. Robusta helps businesses identify the causes of technology outages and recommend fixes using AI-based incident investigation technology. The acquisition will bring these capabilities to Freshservice, Freshworks’ IT service management platform. The deal is aimed at helping organisations investigate incidents, identify the underlying causes of IT disruptions and resolve issues more efficiently. The integration is expected to expand Freshservice’s AI-driven IT operations capabilities. Nasdaq-listed SaaS firm Freshworks reported a 16% year-on-year increase in revenue to $237.4 million in the second quarter ended June 2026. The company posted a GAAP net profit of $3.2 million in Q2 CY26, compared to a net loss of $1.7 million in the corresponding quarter last year.

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Samsung Electronics' revenue from its sixth-generation high-bandwidth memory chips (HBM4) more than tripled in the third quarter, and its planned HBM supply for 2027 had already sold out. During its third-quarter earnings call Thursday, where the chipmaker outlined record capital spending of 84.4 trillion won ($63.2 billion), Samsung said HBM4 accounted for about 60 percent of its total HBM revenue, helping it meet its market share target ahead of schedule. "Negotiations for our 2027 HBM supply

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