Tag Archives: AI

Last News on AI January 2026

January 10, 2026 admin Leave a comment

The artificial intelligence landscape continues to evolve rapidly, with significant developments across healthcare, enterprise applications, infrastructure investments, and regulatory challenges. Here’s a comprehensive roundup of the latest AI news from multiple authoritative sources.

AI in Healthcare: Self-Diagnosis and New Tools

The Rise of AI Self-Diagnosis

According to a nationwide study by Confused.com Life Insurance, 59% of Brits now use AI to self-diagnose health conditions. The research reveals that three in five people are turning to AI for symptom checks, treatment options, and understanding side effects. Notably, 11% of respondents claim AI has helped improve their health conditions.

“Advances in AI technology have created a new way for people to approach healthcare and self-diagnosis,” said Tom Vaughan, life insurance expert at Confused.com. The trend is driven by long GP appointment waiting times—currently averaging 10 days in the UK, with some waits reaching a month.

Health-related searches have surged since January 2025, including “what is my illness?” (up 85%), “what are the symptoms for?” (up 33%), and “side effects” (up 22%). The study found that 42% cited AI’s speed as a key advantage over waiting for doctor appointments, while 24% feel more comfortable using AI than discussing health concerns face-to-face with healthcare professionals.

OpenAI Launches ChatGPT Health

Coinciding with these trends, OpenAI has launched ChatGPT Health, a new feature allowing users to connect personal medical records and wellness apps like Apple Health. The platform receives over 230 million health-related inquiries weekly, according to OpenAI’s figures.

ChatGPT Health enables the AI to provide tailored responses based on individual medical data rather than general knowledge. However, OpenAI emphasizes that the feature “is not a diagnostic tool or substitute for professional medical care.” It has been developed with input from hundreds of physicians worldwide to ensure clarity and safety.

Enterprise AI and Agentic Systems

The Year of Agentic AI

Industry experts predict 2026 will be “the year of the agentic AI intern.” According to McKinsey, agentic AI represents the way to “break out of the gen AI paradox”—while nearly four in five companies use generative AI, comparatively few are getting bottom-line value from it.

BMC, named a leader in Gartner’s Magic Quadrant for service orchestration and automation platforms, sees orchestration as crucial. “The orchestration function is ‘the point when agents become agentic,'” according to analysis from CIO.com. BMC’s director of solutions marketing, Basil Faruqui, describes their Control-M platform as the “orchestrator of orchestrators,” predicting that within 12 to 24 months, orchestration will move from applications and APIs to agents.

“Whether it’s a data warehouse, whether it’s a CRM like Salesforce or SAP, all of these things will be automating their functions using agentic AI,” Faruqui explained. He noted meeting with a major healthcare organization’s CTO who processes over $10 billion monthly in claims, where initial gen AI testing was described as “transformative,” with potential to cut claims processing time by “orders of magnitude.”

Google Transforms Gmail with Gemini AI

Google is making sweeping changes to Gmail, integrating Gemini-powered AI capabilities throughout the service. The overhaul includes AI-driven email prioritization, automated summaries, and intelligent inbox organization. According to reports on SiliconANGLE, the update represents Google’s effort to “transform its flagship email service” by embedding AI assistance directly into everyday email workflows.

Major Investments and Valuations

Anthropic’s Massive Funding Round

AI startup Anthropic is reportedly raising $10 billion at a $350 billion valuation, according to multiple sources. The funding round represents one of the largest in AI history and underscores continued investor appetite for advanced AI development. CNBC reported the company has signed a term sheet for this substantial raise, reflecting strong confidence in Anthropic’s approach to AI safety and capabilities.

Chinese AI Companies Go Public

Chinese AI startup MiniMax Group raised approximately $619 million in its Hong Kong IPO, highlighting robust investor appetite for generative AI. The company’s public debut was reported by SiliconANGLE, with strong initial trading performance. Another Chinese AI company, Zhipu, also made its Hong Kong debut as part of what analysts call China’s “AI tigers” going public.

Strategic Partnerships and Investments

OpenAI and SoftBank announced a $1 billion investment in SB Energy to fuel AI infrastructure buildout. The partnership, reported by CNBC, aims to secure reliable energy sources for power-hungry AI data centers and training operations.

Additionally, venture capital firm Andreessen Horowitz raised $15 billion, with significant allocations toward infrastructure and defense sectors that increasingly rely on AI technologies.

AI Infrastructure and Hardware

Memory Shortage Drives Price Surge

AI memory components are experiencing unprecedented demand, with supplies sold out and prices surging. CNBC reported that “AI memory is sold out, causing an unprecedented surge in prices,” creating challenges for companies attempting to scale their AI operations. The shortage affects high-bandwidth memory (HBM) crucial for training large language models.

Meta’s Nuclear Energy Deals

Meta has signed deals with three nuclear companies for over 6 GW of power to support its AI infrastructure, according to TechCrunch. The agreements will power Meta’s Prometheus AI supercluster and reflect the massive energy requirements of modern AI systems. The move toward nuclear energy represents a strategic shift in how tech companies address the environmental and practical challenges of AI power consumption.

Red Hat Supports Nvidia’s Newest GPUs

IBM subsidiary Red Hat pledged day-zero support for Nvidia’s newest GPUs, according to SiliconANGLE. The commitment ensures Red Hat’s software stacks are ready immediately upon new Nvidia GPU generations launching, reflecting the critical importance of AI hardware optimization.

Robotics and Physical AI

CES 2026: The Robot Revolution

CES 2026 was dominated by discussions of “physical AI” and robotics applications. TechCrunch reported that the event featured extensive showcases of AI-powered robots, from industrial applications to consumer products. The convergence of AI intelligence with physical form factors represents a major trend for practical AI deployment.

A related article noted that “humanoid robots are coming to workplaces,” with AI News covering the transition “from cloud to factory” as companies deploy AI-powered humanoid robots in operational settings. The shift from cloud-based AI to embodied intelligence marks a significant evolution in how AI technologies are applied.

Enterprise Acquisitions and Consolidation

Snowflake Acquires Observe

Snowflake announced its intent to acquire observability platform Observe to enhance its monitoring and analytics capabilities, according to SiliconANGLE and TechCrunch. The acquisition reflects the growing importance of AI-powered observability tools as systems become more complex.

Lambda Raises $350M

AI cloud provider Lambda Inc. is reportedly raising $350 million in funding, as reported by SiliconANGLE. The startup’s cloud platform is designed specifically to run AI workloads, addressing the specialized infrastructure needs of machine learning operations.

Regulatory and Ethical Challenges

Grok and Deepfake Controversies

Indonesia blocked Grok, Elon Musk’s AI chatbot, over non-consensual sexualized deepfakes, according to TechCrunch. The incident highlights ongoing concerns about AI-generated content and the potential for abuse. In a related move, X (formerly Twitter) restricted Grok’s image generation to paying subscribers only after drawing widespread criticism.

Democratic senators have called for Grok and X to be suspended from Apple and Google app stores due to these controversies, as reported by CNBC. The situation exemplifies the tension between AI innovation and responsible deployment.

Google and Character.AI Settlements

Google and Character.AI negotiated the first major settlements in teen chatbot death cases, according to TechCrunch. The settlements address tragic incidents involving minors and AI chatbots, raising critical questions about AI safety, particularly for vulnerable users. The cases have intensified calls for stronger AI guardrails and age-appropriate protections.

Market Performance and Valuations

Alphabet Surpasses Apple

Alphabet’s market capitalization surpassed Apple’s for the first time since 2019, as reported by CNBC. The shift reflects investor confidence in Google’s AI strategy and the potential of its Gemini AI platform to drive future growth.

Nvidia’s Continued Dominance

Despite market fluctuations, Nvidia maintains its position as the leading AI hardware provider. Analysis from CNBC notes that “good news keeps coming for Nvidia but not the stock,” suggesting that much of Nvidia’s AI leadership may already be priced into its valuation. The company’s GPUs remain essential for AI training and inference workloads.

Sector-Specific Applications

Retail and E-Commerce

SAP announced expanded AI options for retailers at the National Retail Federation’s 2026 Big Show, as reported by SiliconANGLE. The features embed AI into planning, operations, and fulfillment processes. Meanwhile, L’Oréal is bringing AI into everyday digital advertising production, streamlining creative workflows with generative AI tools.

Automotive and Transportation

Ford unveiled an AI assistant and new hands-free BlueCruise technology, according to TechCrunch. The developments showcase AI’s growing role in automotive safety and convenience features. Motive Technologies launched the AI Dashcam Plus to help logistics fleet operators avoid collisions, addressing commercial transportation safety.

Manufacturing and Construction

Caterpillar partnered with Nvidia to integrate AI into its construction equipment, as reported by TechCrunch. The collaboration aims to enhance equipment automation, predictive maintenance, and operational efficiency. Bosch announced a €2.9 billion AI investment with shifting manufacturing priorities, signaling major European commitment to AI integration in industrial processes.

Looking Ahead

The AI landscape in early 2026 reveals several clear trends: healthcare applications are expanding rapidly despite regulatory uncertainties; enterprise adoption is moving from experimentation to production deployment through orchestration and agentic systems; infrastructure investments are reaching unprecedented scales; and regulatory frameworks are struggling to keep pace with technological capabilities.

As Basil Faruqui from BMC noted, “This is going to move fast, which means that, from the vendor side we have to be ready, not in three years, [but] six months.” The accelerating pace of AI development, deployment, and integration across industries suggests 2026 will be a pivotal year in artificial intelligence’s evolution from novel technology to fundamental infrastructure.

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References

1. AI News (Artificial Intelligence News) – https://artificialintelligence-news.com/

“Dr AI, am I healthy?” 59% of Brits rely on AI for self-diagnosis (January 8, 2026)

2026 to be the year of the agentic AI intern (January 8, 2026)

From cloud to factory – Humanoid robots coming to workplaces (January 9, 2026)

Datadog: How AI code reviews slash incident risk (January 9, 2026)

2. TechCrunch – https://techcrunch.com/category/artificial-intelligence/

Indonesia blocks Grok over non-consensual, sexualized deepfakes (January 9, 2026)

X restricts Grok’s image generation to paying subscribers only (January 8, 2026)

Anthropic adds Allianz to growing list of enterprise wins (January 8, 2026)

OpenAI to acquire the team behind executive coaching AI tool Convogo (January 7, 2026)

Gmail debuts a personalized AI Inbox, AI Overviews in search, and more (January 7, 2026)

Google and Character.AI negotiate first major settlements in teen chatbot death cases (January 6, 2026)

Ford has an AI assistant and new hands-free BlueCruise tech on the way (January 6, 2026)

Caterpillar taps Nvidia to bring AI to its construction equipment (January 6, 2026)

CES 2026 was all about ‘physical AI’ and robots, robots, robots (January 8, 2026)

Meta signs deals with three nuclear companies for 6-plus GW of power (January 8, 2026)

3. SiliconANGLE – https://siliconangle.com/category/ai/

OpenAI invests $500M in SoftBank’s SB Energy unit (January 9, 2026)

AI cloud provider Lambda reportedly raising $350M round (January 9, 2026)

Red Hat pledges day-zero support for Nvidia’s newest GPUs (January 8, 2026)

Google’s Gmail is getting a Gemini-inspired overhaul with AI priorities, summaries and more (January 7, 2026)

MiniMax raises $619M in Hong Kong IPO as investor appetite for generative AI remains strong (January 7, 2026)

Snowflake acquires Observe to enhance its observability capabilities (January 7, 2026)

Motive debuts AI Dashcam Plus to help logistics fleet operators avoid collisions (January 7, 2026)

SAP expands AI options for retailers (January 7, 2026)

4. CNBC Technology – https://www.cnbc.com/technology/

AI memory is sold out, causing an unprecedented surge in prices (January 10, 2026)

Anthropic’s stunning growth and the sibling team that’s doing AI differently (January 10, 2026)

OpenAI and SoftBank announce $1 billion investment in SB Energy to fuel AI buildout (January 9, 2026)

Andreessen Horowitz raises $15 billion, as VC firm goes big in infrastructure, defense (January 9, 2026)

Meta signs nuclear energy deals to power Prometheus AI supercluster (January 9, 2026)

Robots take over CES in Las Vegas as tech industry touts future of AI (January 9, 2026)

Google is unleashing Gemini AI features on Gmail (January 8, 2026)

OpenAI launches ChatGPT Health to connect user medical records, wellness apps (January 7, 2026)

Anthropic signs term sheet for $10 billion round at $350 billion valuation (January 7, 2026)

Alphabet’s market cap surpasses Apple’s for first time since 2019 (January 7, 2026)

Grok and X should be suspended from Apple, Google app stores, Democratic senators say (January 9, 2026)

AI, AI Agents, AI app builder

Famous.ai: An AI-Powered App Builder Turning Prompts Into Production-Ready Software

January 7, 2026 admin Leave a comment

Intro

Famous.ai is a next-generation AI-powered app builder designed to help creators, entrepreneurs, and businesses build fully functional web and mobile apps without writing a single line of code. The platform represents a convergence of three major technological trends: the no-code movement, AI as co-creator, and rapid speed-to-market capabilities that allow users to go from idea to app prototype in hours rather than weeks.

Unlike traditional no-code platforms that rely on drag-and-drop interfaces, Famous.ai uses natural language processing to interpret plain-language instructions and transform them into complete, production-ready applications. The platform handles everything from user interface design to backend architecture, database setup, authentication, and hosting automatically.

What Is Famous.ai and How Does It Work?

Famous.ai operates on a fundamentally different paradigm than conventional app builders. Instead of requiring users to drag elements or manually configure databases, the platform interprets conversational prompts and generates coherent applications rather than disconnected components. Users simply describe the application they want to build, and Famous.ai’s agentic orchestration engine evaluates the prompt intent to create software that feels more like custom-designed solutions than template assembly.

The platform’s workflow is remarkably straightforward:

1. Users describe their app idea in a chat window using natural language

2. Famous.ai analyzes the prompt behind the scenes, breaking it down into database structure, API endpoints, authentication logic, frontend interface, and deployment flow

3. The system generates actual source code, including React components, backend logic, PostgreSQL setups, and serverless deployment scripts

4. Users see their app live almost instantly and can continue improving it through conversational tweaks

5. One-click export or deployment to web or mobile app stores completes the build cycle

After the initial build, users refine applications through a continuous conversational flow. Adjustments to layout, new screens, logic changes, and design refinements can all be made by typing natural language instructions, with changes appearing in real-time through a preview environment and optional code view.

Key Features and Capabilities

Full-Stack Application Generation

Famous.ai automates the creation of both frontend and backend layers of applications. It handles everything from user interface components and database structures to API endpoints and hosting, allowing users to go from idea to fully functional product without needing a development team.

Agentic Orchestration Engine

The organizational engine behind Famous.ai makes intelligent decisions about architecture, data flow, and feature connections. When users add or modify functionality, the system intelligently updates the underlying application structure, creating builds that are more consistent and reliable than typical no-code output.

Native Mobile Publishing

Famous.ai supports direct publishing to the Apple App Store and Google Play Store without requiring external wrappers or manual configuration. Mobile apps built through text prompts can be deployed to both platforms from inside the interface, handling the often painful store submission process automatically.

Landing Page Generator

Beyond complete applications, the platform includes a landing page builder for marketers, creators, and founders who need fast campaign pages or early validation funnels. The pages produced are responsive and support branding, forms, and content sections.

Web3 and Blockchain Support

Famous.ai provides native blockchain integration, supporting smart contracts, wallet logins, NFT minting, and other Web3 features. Users can build crypto wallets, NFT marketplaces, and blockchain-integrated apps with simple prompts like “Create an NFT store where users connect wallets and mint art” without requiring prior blockchain development experience.

Natural Language Editing

Every change is handled through simple text instructions. Users can modify pages, update flows, adjust styling, introduce new logic, or change the overall structure of applications without navigating complex menus. The platform responds with clarifying questions when prompts are too vague, creating a “build as you talk” experience.

Full Code Ownership and Export

Users maintain complete ownership of the generated code and can export, modify, or host their applications anywhere. The platform produces exportable, production-grade code that can be continued in external development environments or kept entirely within Famous.ai.

Checkpoint System

Famous.ai includes a version control feature that records each significant change as a “Checkpoint,” allowing users to preview changes at any time or revert to previous versions in seconds. This provides confidence for small businesses building without developers, as they have total ownership and control over the code they create.

User Experience and Interface

Famous.ai is designed to feel more like a conversation than a traditional development environment. The prompt panel sits next to a real-time preview, allowing users to see changes as they’re generated. Users can switch between Code and Preview views to watch progress from both angles: real source code and live design. The platform also allows previewing apps as they would appear on desktop or mobile devices, ensuring applications look great across different screen sizes before publication.

To the left of the interface, users interact with a conversational panel that logs each action as a Checkpoint. To the right, they can see the actual code being generated, including backend logic, database configuration, and UI files, providing clarity and optional technical oversight.

Practical Applications

Famous.ai is being used to create a wide variety of applications across different categories:

SaaS platforms and tools

Fitness and wellness trackers

Travel agency websites

AI chatbot interfaces

eCommerce stores

Social media automation tools

Internal CRMs and booking systems

Customer portals and dashboards

Unlike many visual builders that produce mere prototypes, Famous.ai outputs real, scalable software suitable for production deployment.

Who Should Use Famous.ai?

Famous.ai works well for a broad spectrum of users:

Solo Entrepreneurs and Founders can quickly test app ideas, build minimum viable products (MVPs), and validate markets without large budgets or development teams. The platform enables them to create MVPs and full products without hiring developers.

Small Businesses can build internal tools, customer portals, booking systems, or dashboards without extensive technical resources. The rapid turnaround reduces time-to-market, lowers development risk, and allows teams to validate ideas without committing significant technical resources.

Creators can launch branded apps for their audiences and prototype tools and platforms quickly.

Marketers can generate landing pages for campaigns or product launches with minimal effort.

Agencies can speed up delivery cycles for client projects, accelerating timelines while maintaining quality.

Users who require deeply customized enterprise solutions with extensive integration with legacy systems may exceed the scope for which Famous.ai is built. However, for the majority of modern application needs, it represents a capable and efficient solution.

Pricing and Value Proposition

Famous.ai uses a credit-based model that adapts to users’ needs, keeping costs predictable while allowing projects to scale smoothly. The pricing structure makes the platform accessible to individuals, small teams, and early-stage founders, since users only pay for the building and publishing they actually do.

Pricing Tiers:

Free Tier: Available for exploration and basic building

Mini Plan: Begins at $7 per month, unlocking additional build modes, custom domains, and discounted hosting

Spark Plan: Available with a 10% discount through certain promotional links

The actual value is determined by the speed of production. Projects that typically require multiple rounds of design, development, and testing can be generated, refined, and deployed in minutes. For businesses that need efficiency and flexibility, the pricing model supports fast experimentation and scalable growth.

Learning Curve and Best Practices

Famous.ai has a minimal learning curve. If users can describe their idea in clear terms, they’re most of the way to successful app creation. However, better prompts yield better results. To maximize Famous.ai’s output:

Specify key features explicitly (e.g., “include user authentication and payment integration”)

Mention user journeys to provide context (“users sign up, create profiles, log daily progress”)

Avoid vagueness such as “make a cool app,” which will produce generic results

Exercise patience when using AI tools for app development

For highly customized or complex logic such as advanced algorithms or sophisticated analytics, traditional development help may still be necessary. Famous.ai excels at standard app archetypes and common application patterns.

Platform Specifications Overview

Starting Price: Free tier available, Mini plan begins at $7/month

Best For: SMBs, founders, creators, marketers, agencies

Use Cases: Apps, websites, mobile tools, landing pages

Publishing: Web, iOS, Android

Technology: Proprietary agentic orchestration engine

Advantages and Limitations

Pros

Full-stack app generation from simple prompts

Direct publishing to iOS and Android app stores

Natural language editing with conversational workflow

Smart contract and wallet integration for Web3 applications

Landing page generator for campaigns and product launches

Code export and checkpoint system for version control

Rapid time-to-market compared to traditional development

Complete code ownership

Cons

The free plan is limited for extensive building

Post-launch analytics are basic compared to traditional development platforms

Not ideal for very specialized enterprise systems with complex legacy integrations

Highly customized or complex algorithmic logic may still require traditional development

Community and Support

Famous.ai provides a supportive community through Discord and Facebook groups, where users can share experiences, ask questions, and learn from other builders. This community support is particularly valuable for beginners in app development who are navigating the platform for the first time.

Market Context and Industry Impact

Famous.ai is gaining significant buzz in the tech industry because it addresses the growing demand from non-technical users who want to build applications without needing full development teams. The platform hits three major trends simultaneously:

1. The No-Code Movement: More people want to build apps without extensive coding knowledge

2. AI as Co-Creator: Instead of manual configuration, AI guides creation through natural conversation

3. Speed to Market: Compressed timelines from months to hours for MVP development

Early adopters are particularly impressed with how the platform streamlines the build process, especially for minimum viable products and marketing-focused tools. With relatively few in-depth reviews or tutorials available in early 2025, Famous.ai is quickly becoming one of the hottest tools in the AI app builder space.

Conclusion

Famous.ai represents a legitimate AI-driven platform that produces real, deployable applications suitable for both web and mobile environments. It removes many of the barriers that traditionally slow down software development, making it a strong option for builders who value speed, flexibility, and ease of use.

The platform lives up to its central claim: “Describe it. Build it.” When an app is ready in Famous.ai, it’s not just a demo or proof-of-concept – it’s business-ready software that can be launched, monetized, deployed to app stores, and scaled on the user’s own terms.

With its natural-language workflow, full-stack output, and ability to publish across platforms, Famous.ai delivers a practical, modern way to transform ideas into working products. For solo builders, small businesses, and creators, Famous.ai removes the technical and financial barriers that have long stood between ideas and execution.

From clean UI generation to backend infrastructure and deployment, the platform makes app creation conversational and genuinely accessible, representing a significant advancement in democratizing software development.

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References

1. Mulyandari, R. (2025, November 10). Famous.ai review: The AI app builder turning simple prompts into real software. Cloud Computing News. https://www.cloudcomputing-news.net/news/famous-ai-review-the-ai-app-builder-turning-simple-prompts-into-real-software

2. Summers, M. P. (2025, June 2). Famous.AI Review (2025): What You Need to Know Before Using This AI App Builder. Marc P Summers. https://marcpsummers.com/2025/06/02/famousai-review-2025-what-you-need-to-know-before-using-this-ai-app-builder

3. Mazars, J. (2025, July 29). Famous.ai Review: Build Real Apps with AI from Just a Prompt. AutoGPT.net. https://autogpt.net/famous-ai-review

4. Famous.ai Official Website. (2025). https://famous.ai

5. MSN Technology News. (2025). AI Platform Famous.ai Turns Prompts Into Apps. https://www.msn.com/en-us/news/technology/ai-platform-famousai-turns-prompts-into-apps/ar-AA1PbpDv

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Article compiled from publicly available sources and technology reviews published in 2025. All source materials were accessed and verified as of January 2026.

Most Popular AI Apps 2026

January 4, 2026 admin 1 Comment

The market for mobile AI apps is currently estimated to be worth $2 billion, mostly because to ChatGPT’s popularity, and the industry is still growing as other apps are released.

Over 4,000 new AI applications were published in 2024 alone, and the total number of downloads for AI apps reached an astounding 1.49 billion.

But other from ChatGPT, what are the most widely used AI apps in the US and throughout the world?

The top AI applications in the globe as of October 2025 are listed below, arranged by monthly active users:

1. ChatGPT	OpenAI (US)	769.14 million
2. Doubao	ByteDance (China)	159.41 million
3. Quark	Alibaba (China)	151.66 million
4. Baidu Wangpan	Baidu (China)	148.14 million
5. Gemini	Google (US)	76.55 million
6. Yuanbao	Tencent (China)	73.29 million
7. DeepSeek	DeepSeek (China)	72.05 million
8. Nova	HubX (Turkey)	64.16 million
9. Grok	xAI (US)	54.77 million
10. Dreamina	ByteDance (China)	45.11 million
11. Dola (formerly Cici)	Spring (Singapore)	43.32 million
12. Perplexity	Perplexity (US)	35.74 million
13. Character AI	Character AI (US)	31.66 million
14. AI Mirror	Polyverse (US)	29.29 million
15. Chatbot AI	Newway Apps (India)	23.85 million
16. PixVerse	PixVerse (China)	23.62 million
17. Kimi	Moonshot AI (China)	23.47 million
18. Ask AI	Deep Flow Apps (US)	23.03 million
19. Remini	Bending Spoons (Italy)	22.8 million
20. Talkie AI	Subsup (Singapore)	22.15 million

Source: Aicpb

AI, Undress AI

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December 5, 2025 admin Leave a comment

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