Artificial Intelligence
Meta’s 2026 AI Gamble: Inside Mango and Avocado, the Models Aimed at Challenging Google
New Delhi — As competition in artificial intelligence accelerates worldwide, Meta is preparing a major technological push that could redefine its position in the AI hierarchy. According to internal planning discussions, the company is developing two advanced AI systems—codenamed Mango and Avocado—within its newly formed Superintelligence Lab. Both models are expected to be released in stages during the first half of 2026 and are being positioned as direct competitors to cutting-edge AI offerings from Google.
Mango and Avocado: Distinct missions, shared ambition
Meta’s roadmap assigns clearly differentiated roles to its two flagship models. Mango is being developed as a next-generation image and video intelligence system. Its goal is to deliver deeper visual comprehension, higher-fidelity content generation, and real-time video analysis. The model is designed for creators, media organisations, advertisers, and enterprise clients that rely on advanced visual workflows.
Avocado, by contrast, is focused squarely on text-based intelligence, with an emphasis on software development, logical reasoning, and problem-solving. Meta sees developers as a critical audience and believes that stronger coding and reasoning performance is essential to gaining credibility in a market where adoption and monetisation are growing rapidly.
A strategic bet on “world models”
Beyond conventional text and multimedia AI, Meta is also investing heavily in so-called world models—systems designed to understand environments, anticipate outcomes, and plan actions rather than merely predict patterns. These models aim to bring AI closer to human-like reasoning by combining perception, planning, and decision-making.
In the long run, Meta envisions these capabilities being applied to simulations, robotics, gaming ecosystems, and real-world operational scenarios, potentially enabling autonomous agents that can operate in complex, changing environments.
Why Mango and Avocado matter for Meta
Despite reaching hundreds of millions of users through built-in AI features on platforms like Facebook, Instagram, and WhatsApp, Meta has faced criticism for lacking a standalone AI product that users actively seek out. Unlike rivals such as OpenAI or Google, most of Meta’s AI reach currently comes from default integrations rather than deliberate user choice.
Over the past year, the company’s AI division has undergone internal restructuring, leadership changes, and the departure of several senior researchers. Against this backdrop, Mango and Avocado are widely seen as more than incremental upgrades—they are viewed as the backbone of Meta’s next generation of consumer products, developer tools, and enterprise offerings.
The challenge of turning investment into returns
Meta is spending billions of dollars annually on AI research, infrastructure, and talent, but translating that investment into sustainable revenue remains an open question. Moving beyond an advertising-dominated business model is now one of the company’s biggest strategic priorities.
Analysts suggest that meaningful breakthroughs from Mango in visual intelligence, combined with strong developer adoption of Avocado, could open the door to new revenue streams. These may include enterprise licensing, developer subscriptions, and a broader API ecosystem that allows third parties to build on Meta’s AI capabilities.
Why 2026 could be a turning point
Industry observers increasingly view 2026 as a pivotal year for artificial intelligence, when multimodal systems, autonomous agents, and world models are expected to become mainstream. In that context, the performance of Mango and Avocado will be closely watched as indicators of whether Meta can reclaim a leadership role in advanced AI.
For Meta, these projects represent a test of technological credibility, developer trust, and commercial viability. Their success—or failure—may ultimately determine whether the company shapes the next wave of AI innovation or struggles to keep pace with faster-moving rivals.
Artificial Intelligence
San Francisco Orders Apple, Google to Pull AI ‘Nudify’ Apps in 28 Days
San Francisco City Attorney David Chiu has issued cease-and-desist notices to Apple and Google, directing both technology companies to remove a number of AI-powered “nudify” applications from their app stores within 28 days or risk potential civil penalties under California law.
The legal notices target 13 applications—eight available on Apple’s App Store and five on Google Play—that authorities say can generate non-consensual, sexually explicit AI images of real people using ordinary photographs without their permission.
California Cites Deepfake Laws in Enforcement Action
According to the City Attorney’s Office, the action relies on two California laws designed to address the misuse of artificial intelligence for creating intimate deepfake content.
One statute makes it a criminal offence to knowingly facilitate or recklessly assist in the creation of non-consensual intimate deepfakes. Another law, enacted in 2025, allows civil action against digital platforms that continue to host or distribute such applications after receiving formal notice, potentially exposing app stores to legal liability.
Officials argue that Apple and Google were previously informed about the presence of these applications but allegedly allowed them to remain available while continuing to process in-app purchases.
Chiu stated that beyond any financial benefit earned through platform commissions, the apps have the potential to cause significant emotional, psychological, and reputational harm to victims whose images are manipulated without consent.
Research Report Prompted Wider Scrutiny
The legal action follows reports published by the Tech Transparency Project, a nonprofit research organization that documented the availability of AI “nudify” applications on major app marketplaces.
A report released in January 2026 identified numerous apps capable of generating synthetic intimate images, while a follow-up investigation in April 2026 alleged that many of those applications remained available and continued generating revenue. The report also claimed that some apps carried age ratings that could make them accessible to younger users despite their intended functionality.
Apple and Google Respond
Following the legal notices, both companies confirmed they had taken action against some of the identified applications.
Google said it had suspended all five apps named in the notice from Google Play, citing violations of its policies governing sexually explicit content.
Apple stated that its App Store guidelines prohibit applications designed to create or distribute pornographic material. The company said it had removed three of the identified apps, terminated the associated developer accounts, and was continuing discussions with the developers of the remaining applications over alleged policy violations.
AI Deepfake Platforms Face Growing Legal Pressure
The latest enforcement effort forms part of a broader campaign by San Francisco authorities to combat the misuse of artificial intelligence for creating non-consensual intimate imagery.
City officials have previously pursued legal action against websites offering similar AI-based image-generation services. Researchers have also raised concerns that major online platforms may inadvertently contribute to the spread of such tools by allowing advertising or promotional content that directs users to them.
Meanwhile, debate continues at the federal level over stronger legal protections for victims of AI-generated intimate imagery. While proposed legislation such as the DEFIANCE Act seeks to expand victims’ ability to pursue civil claims, California’s existing laws provide broader mechanisms for holding online platforms accountable in certain circumstances.
Authorities have increasingly warned that the misuse of generative AI extends beyond synthetic imagery. According to federal law enforcement data, AI-enabled fraud contributed to hundreds of millions of dollars in financial losses during 2025, highlighting the growing challenge regulators face in addressing emerging forms of digital abuse.
Artificial Intelligence
Aviva Deploys Advanced AI to Intercept £230M in Sophisticated Insurance Fraud Rings
Global insurance major Aviva has deployed advanced artificial intelligence systems across its claims processing network, successfully preventing an estimated £230 million (approximately $295 million) in fraudulent insurance claims over a 12-month period, according to company disclosures.
The AI-driven fraud detection framework marks a major shift in how insurers are combating increasingly sophisticated, technology-enabled fraud networks operating across the financial services sector.
Rise of AI-Driven Insurance Fraud Rings
Aviva reported a sharp evolution in fraud patterns, with criminal groups moving away from simple exaggerated claims toward highly organized, tech-enabled schemes.
Fraudsters are increasingly using generative AI tools to create fake accident evidence, manipulate invoices, and produce deepfake images and videos designed to support fraudulent insurance claims. In some cases, entirely synthetic identities and fabricated digital documentation are being used to simulate legitimate losses.
The company also highlighted the growing threat of “ghost brokering,” where criminals impersonate legitimate insurance sellers through fake websites or social media profiles, selling invalid policies and pocketing premiums.
AI-Powered Fraud Detection System
To counter these threats, Aviva has integrated a multi-layered AI screening system into its claims processing workflow. The system evaluates claims in real time using advanced analytics and risk-scoring models.
Key components include:
- Behavioral Analysis: Detects unusual language patterns, timing anomalies, and claim submission behavior linked to fraud networks.
- Digital Forensics: Scans uploaded images and documents for signs of manipulation, including metadata inconsistencies and AI-generated alterations.
- Network Mapping: Identifies hidden connections between claims using shared IP addresses, devices, or financial identifiers to expose coordinated fraud rings.
The system flags high-risk claims for human review while allowing legitimate claims to be processed quickly.
Preventing Large-Scale Financial Losses
According to Aviva, the AI system has significantly improved fraud detection efficiency and reduced financial exposure across motor, property, and liability insurance segments.
The technology operates as a real-time risk filter, intercepting suspicious claims before payouts are approved. Company investigators said the system enhances—not replaces—human oversight, with flagged cases routed to specialized fraud investigation teams for deeper analysis.
Industry Moving Toward AI-Based Fraud Prevention
Experts say Aviva’s deployment reflects a broader transformation in the global insurance and banking sectors, where companies are increasingly turning to AI to combat automated fraud schemes.
Traditional manual verification methods are proving insufficient against the scale and speed of modern synthetic fraud, prompting insurers to adopt automated, data-driven compliance systems.
Industry analysts predict that AI-powered fraud detection frameworks and cross-industry threat intelligence sharing will soon become standard practice across financial institutions worldwide.
Future of Insurance Security
As fraud tactics become more advanced, insurers are expected to rely heavily on predictive analytics, machine learning, and real-time identity verification tools to safeguard operations.
Experts believe the next phase of financial security will involve interconnected AI systems capable of identifying fraudulent identities across global databases, reducing the ability of organized crime networks to operate across borders.
AI & Technology
Elon Musk vs OpenAI: Court Rejects Claims Over AI Company’s Profit Shift
A US federal court has dealt a significant setback to tech billionaire Elon Musk after a jury rejected his lawsuit against OpenAI and its CEO Sam Altman over allegations that the company abandoned its original non-profit mission in favor of commercial expansion.
The verdict was delivered in a federal courtroom in Oakland, California, following nearly two weeks of legal arguments, witness testimonies, and cross-examinations. The nine-member jury unanimously concluded that Musk’s legal claims were filed beyond the permissible deadline, effectively dismissing the case on statute-of-limitations grounds.
Court Rejects Musk’s Claims
Musk argued that OpenAI had deviated from its founding principles by transitioning into a profit-oriented enterprise. According to court filings, the entrepreneur claimed he had contributed nearly $38 million during OpenAI’s early years to support the development of artificial intelligence aimed at benefiting humanity rather than generating corporate profits.
During the trial, Musk’s legal team maintained that OpenAI’s transformation into a commercially driven AI giant contradicted the organization’s original commitments. The lawsuit also alleged that the company’s leadership failed to uphold the public-interest values on which the AI lab was established.
However, OpenAI strongly disputed those allegations. The company argued that adopting a hybrid commercial model was necessary to secure funding, compete in the rapidly evolving AI sector, and continue developing advanced technologies at scale.
OpenAI’s defense team further claimed that Musk had long been aware of the company’s strategic direction and only pursued legal action after losing influence within the organization.
OpenAI’s Rise at the Center of the Dispute
Founded in 2015 by Elon Musk and several prominent technology figures, OpenAI originally positioned itself as a research-focused non-profit dedicated to ensuring artificial intelligence would serve humanity responsibly.
Musk later departed from the company in 2018 amid reported disagreements over leadership and operational control. Since then, OpenAI has expanded aggressively and gained global recognition through AI products such as ChatGPT.
The company’s rapid growth and soaring valuation have turned it into one of the world’s most influential artificial intelligence firms. Industry estimates now place OpenAI’s valuation at more than $850 billion, making the legal battle particularly significant for investors, regulators, and technology leaders worldwide.
Wider Impact on the AI Industry
Legal experts noted that the case was ultimately decided on procedural timing rather than a direct judgment on whether Musk’s allegations were valid. The court’s reliance on statute-of-limitations rules means the jury focused primarily on whether the lawsuit had been filed within the legally acceptable timeframe.
Industry analysts believe the ruling could strengthen OpenAI’s standing in the global AI market at a time when artificial intelligence companies face growing scrutiny over ethics, transparency, regulation, and corporate accountability.
The case has also intensified broader discussions surrounding the future governance of AI technology, particularly the balance between public-interest research and commercial innovation. Observers view the dispute between Musk and OpenAI as part of a larger struggle over who will shape the future direction of artificial intelligence in the years ahead.
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