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Meta’s Prediction Market Push Signals A New Phase In Social Engagement

Meta is reportedly exploring a new product inspired by the growing popularity of prediction markets. According to The New York Times, CEO Mark Zuckerberg has approved the early development of a standalone smartphone application internally known as “Arena.”

A Standalone Bet On Engagement

The proposed app would operate separately from Meta’s core social platforms. However, people familiar with the matter told The New York Times that Facebook, Instagram, and other Meta properties could still direct users toward it.

Sources described Arena as “experimental but a top priority.” At this stage, the concept reportedly does not involve real money. Instead, users would earn points for correctly predicting outcomes across selected topics, creating a system that resembles a competitive game. The introduction of financial elements could come at a later stage.

Why Meta Is Paying Attention Now

Prediction markets have evolved rapidly over the past year. Platforms such as Polymarket and Kalshi have generated significant trading volumes and attracted growing attention from investors, users, and regulators.

As of April, activity across the platforms had reached tens of billions of dollars, highlighting demand for markets that allow users to make predictions on politics, economics, culture, and current events. Meta is not the first major technology company to take notice. Last summer, X partnered with Polymarket, reflecting broader interest in prediction markets across the digital platform sector.

Growth Potential Comes With Regulatory Risk

The sector, however, continues to face legal and regulatory scrutiny.

Prediction markets have been linked to allegations involving insider trading, the use of non-public information, and potential conflicts with state gambling laws. One widely reported case involved a former special forces soldier accused of using insider knowledge to profit from an operation targeting Venezuelan President Nicolás Maduro. In another case, former congressman George Santos is under investigation over alleged Kalshi-related trades.

Several U.S. states have also taken legal action against prediction market operators, arguing that certain products may violate gambling regulations.

The Bigger Strategic Question

Meta’s reported interest in Arena comes as digital platforms continue to explore formats that encourage greater user participation. The administration in Washington has taken a relatively favorable view of prediction markets, even as legal disputes surrounding the sector continue. How those regulatory questions evolve could influence the future development of the industry.

For Meta, Arena remains an early-stage project. However, the company’s reported interest highlights the growing attention prediction markets are receiving from some of the world’s largest technology platforms.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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