After Burning Through 900 Billion, Zuckerberg Decides to Open a Casino Where You Can't Gamble

marsbit2026-06-26 tarihinde yayınlandı2026-06-26 tarihinde güncellendi

Özet

Mark Zuckerberg's Meta is venting a new app called Arena, a prediction market platform where users use points instead of real money to bet on outcomes of elections, sports, and world events. This move follows Meta's massive $90 billion cumulative loss in its Reality Labs metaverse division. Critics argue the "play money" model undermines the core mechanism of prediction markets, where real financial stakes ensure accurate forecasts. Arena is seen as Meta's attempt to copy established, fast-growing platforms like Polymarket and Kalshi while avoiding regulatory hurdles. The article suggests this may be less about creating a genuine prediction tool and more about social engagement, potentially acting as a gateway that introduces billions to the concept, from which licensed platforms could ultimately benefit.

Author: Max.s

A man who lost 90 billion dollars decides to start a project that doesn't involve spending money.

You read that right.

Just yesterday, The New York Times reported that Zuckerberg is personally leading the development of a prediction market app called Arena — users can bet on the outcomes of elections, sports, and major international events, but the chips are points. Not dollars, not USDC, but 'fun beans'.

That's right! The kind you don't feel bad about losing all night in mahjong.

What Lessons Can 90 Billion Dollars Buy?

First, let's review Meta's "Chronology of Burning Money."

In 2021, Zuckerberg renamed Facebook to Meta, announcing plans to build the metaverse. His Reality Labs division began spending lavishly — VR headsets, the virtual social platform Horizon Worlds, immersive office spaces...

And the result?

Horizon Worlds' monthly active users once fell below 200,000, failing to even reach its initial goal of 500,000. It lost 17.7 billion dollars in 2024 and 19.2 billion dollars in 2025, with cumulative losses approaching 90 billion dollars. 90 billion. That's enough money to buy several Polymarkets.

And Meta itself admitted that its loss scale for 2026 would be "in line with 2025."

In other words, before even filling this bottomless pit of the metaverse, Zuckerberg is already eagerly digging a new hole next to it.

From "Changing the World" to "Copying Others' Homework"

Interestingly, this isn't Meta's first attempt at prediction markets.

During the early days of the pandemic in 2020, Meta launched a crowdsourced prediction app called Forecast, allowing users to guess the course of current events. The result? It was quietly taken down in 2022.

Back then, Polymarket wasn't hot yet, Kalshi hadn't won its lawsuit against the CFTC, and the entire prediction market's annual trading volume was less than 50 billion dollars.

Now? In 2026, the industry's trading volume has surpassed 130 billion dollars, Kalshi's valuation is hitting 40 billion dollars, and Polymarket's valuation is 9-15 billion dollars.

Others made the cake bigger, and Zuckerberg smells it and comes running.

Does this playbook sound familiar? Snapchat launches Stories → Instagram launches Stories. TikTok popularizes short videos → Meta launches Reels. Twitter is still breathing → Meta launches Threads.

Every time it's: You get hot, I copy it, I crush you with 3.5 billion users worth of traffic.

Most of the time, this tactic works. But prediction markets are not short videos, nor are they ephemeral stories.

The Soul of a Prediction Market is "Real Money"

Let me explain why this is so absurd.

Prediction markets can forecast accurately because participants are betting their own money. You think seriously only when it hurts, you tell the truth only when you lose. Prices reflect probabilities because every dollar is a vote cast with real money.

Now Meta says: We're going to make a prediction market, but we won't let users spend real money.

This is like opening a Michelin-starred restaurant where all the dishes are made of air. The decor is luxurious, the menu is exquisite, customers come in droves — but everyone is just chewing on air.

Predictions without the constraint of real money aren't predictions; they're votes.

And the internet is never short on votes. Comment sections on Weibo vote every day, WeChat Moments are full of predictions every day — have you ever seen an accurate probability calculated from "likes"?

Zuckerberg, of course, knows this. The real purpose of the points system isn't to make predictions, but to bypass regulation.

In April 2026, the CFTC initiated the first-ever insider trading lawsuit in prediction market history — a US military officer profited on Polymarket using classified intelligence. The regulatory winds are already clear.

So Arena uses points. In the eyes of the law, this is a "game." In the eyes of the product, this is "social." In the eyes of prediction markets — this is an empty shell with its soul sucked out.

The Most Expensive "Toe-Dip"

Let's put the two most glaring numbers together:

Reality Labs cumulative losses: 90 billion dollars

Arena's starting design: A points game where you can't spend real money

A company that burned through 90 billion dollars on hardware and content turns around and creates a "zero-financial-risk" social toy.

This isn't "learning a lesson"; this is a cat that got scalded by boiling water — now it's even afraid to touch lukewarm water.

The lesson from the metaverse is crystal clear: the cost of creating a new track out of thin air is extremely high. But Zuckerberg's takeaway seems to be: Then I won't create a new track, I'll just copy one that others have already proven.

The problem is, the premise of others' success is real money. Polymarket made its name in the 2024 election because every dollar was a vote with real money. Kalshi could raise money from Morgan Stanley because of its CFTC license and years of federal litigation.

These things, no matter how much traffic you have, cannot be replicated.

3.56 billion daily active users is indeed terrifying. But if those 3.56 billion people come to Arena and cast a bunch of "fun bean predictions" with points, then what?

The predicted probabilities are inaccurate → Users find it boring → Engagement drops → Zuckerberg says "it's an experimental project" → Quietly taken down.

The script is exactly the same as Forecast.

Maybe Zuck Just Doesn't Care About Accurate Predictions

Finally, let's consider a "contrarian view" — what if we've got it wrong?

Maybe Zuckerberg never intended to build a real prediction market. Maybe Arena's goal is simply to be a hot-topic social platform: users come here not to make money, but to see what others think, argue with friends, and show off their "prediction accuracy."

In essence, it's no different from arguing on Weibo, just with an added scoring system.

In this logic, points aren't a defect; they're by design. Real money would actually scare away ordinary users. What Meta wants isn't financial depth; it's user time.

If this path works, Kalshi and Polymarket might actually benefit — Meta introduces the concept of "prediction" to billions who have never touched financial derivatives. A small portion of them might think, "Points aren't exciting enough, I want to play with real money," and then flow to licensed platforms.

Meta grows the pie, and the professional platforms eat it.

This is probably the outcome everyone doesn't want to see, but the one most likely to happen.

So the question is: Do you think Zuckerberg has finally gotten smart this time, or is he just repeating past mistakes in a cheaper way?

İlgili Sorular

QWhat is the main project that Mark Zuckerberg is reportedly leading at Meta, according to the New York Times article?

AHe is reportedly leading the development of a prediction market application called Arena, where users can bet on outcomes like elections, sports, and international events using points instead of real money.

QWhat is one of the major reasons given in the article for why a prediction market without real money might fail?

AThe article argues that the accuracy of a prediction market relies on participants using their own real money, which forces serious consideration and truthful predictions. Without this financial stake, it becomes mere voting or opinion-sharing, lacking the mechanism to reflect accurate probabilities.

QHow does the article describe Meta's previous attempt at a prediction market called Forecast?

AMeta launched Forecast during the early pandemic in 2020 as a crowdsourced prediction app. However, it was quietly shut down in 2022, before the prediction market industry experienced its major growth.

QWhat potential legal and regulatory reason is suggested for Arena using points instead of real currency?

AThe article suggests that using points instead of real money is likely a strategy to circumvent strict financial regulations. By framing it as a 'game' or 'social' feature, it avoids being classified and regulated as a financial betting or trading platform.

QWhat alternative, less conventional motivation for the Arena project does the article propose at the end?

AThe article proposes that perhaps Zuckerberg's goal isn't to create an accurate financial prediction market at all. Instead, Arena might aim to be a social platform for discussing and engaging with trending events, where the point system is designed for engagement and user retention, not financial depth. This could, in turn, popularize the concept of prediction markets and drive some users to seek out real-money platforms like Polymarket.

İlgili Okumalar

Never expected that the first tangible application of AI x Crypto is in security auditing

Unexpectedly, the initial major application of AI in the Crypto sphere has turned out to be security auditing. In 2026, DeFi has faced significant security challenges, with 121 hacking incidents resulting in approximately $942 million in losses. While AI was expected to first impact areas like quantitative trading, its initial breakthrough has instead transformed security auditing by drastically lowering the cost and skill barrier for finding smart contract vulnerabilities. The traditional audit model is facing obsolescence. Advanced AI models, such as Claude Mythos, enable attackers to scan thousands of contracts and identify vulnerability patterns at scale, compressing the time from discovery to execution to mere minutes. This renders the month-long validity of traditional audit reports ineffective. Notably, attacks now frequently target well-audited, established protocols by exploiting business logic flaws, operational security weaknesses, and even years-old historical contracts, demonstrating that old audit reports offer zero protection. This pressure is forcing a fundamental shift in the industry. In the short term, a wave of defensive re-auditing is occurring, driven by projects seeking to meet new AI-era security standards and regulatory requirements. In the long run, audit firms' business models are diverging. The one-time report delivery model is declining in value, as evidenced by platforms like Code4rena shutting down. Leading firms are now pivoting towards AI-powered defense, integrating continuous monitoring, real-time on-chain risk detection, and embedding security directly into the development phase, as seen with tools like OpenZeppelin's Skills system. Ultimately, the era of "audit once, secure forever" is over. Security must become a continuous, embedded infrastructure investment for projects. For audit companies, survival depends on proactively transforming from traditional service providers into platforms offering AI-native, ongoing security solutions.

链捕手3 dk önce

Never expected that the first tangible application of AI x Crypto is in security auditing

链捕手3 dk önce

Who's Paying for the $64 Billion Paper Feast?

"The Illusion of Wealth: Who Bears the Burden of the $64 Billion Paper Bonanza?" Bitcoin recently broke below the critical $60,000 support level, triggering significant selling by major holders. While the price drop itself is concerning, a deeper issue lies with publicly traded companies that have bet their entire balance sheets on Bitcoin, creating a precarious financial link between their stock prices and crypto valuations. Leading the pack is Strategy (formerly MicroStrategy), holding 847,000 BTC at an average cost of ~$75,600, now facing over 20% unrealized losses. Its stock trades at a deep discount to its Bitcoin holdings. Other companies like Japan's Metaplanet (nearly 40% unrealized loss) and Solmate (which fully pivoted to Solana and saw its stock collapse 98%) illustrate the risks of this model without underlying business operations. A key misconception is that these firms face immediate, forced liquidation. Their debt structures provide a buffer. However, the core "financial flywheel" is stalling. Strategy's CEO has even hinted at potentially selling Bitcoin to cover obligations—a reversal of his long-standing "never sell" doctrine. New accounting rules (ASU 2023-08) exacerbate the problem, requiring quarterly mark-to-market adjustments. Bull markets create paper profits, attracting capital. In bear markets, they generate massive paper losses, potentially triggering index exclusions and forced selling by passive funds. The true crisis point is not the current price, but a looming debt reckoning. If Bitcoin fails to recover above key cost bases within 12-24 months, convertible note redemption windows opening in Fall 2027 could force companies to sell massive Bitcoin holdings for cash, potentially triggering a severe liquidity crisis. The model hasn't eliminated risk; it has merely transformed instant, price-triggered liquidation into a slow-burning, time-triggered debt crisis.

marsbit14 dk önce

Who's Paying for the $64 Billion Paper Feast?

marsbit14 dk önce

Base Halts for Two Hours: A Single Invalid Block Reveals the Centralized Reality of L2s

Base, an Ethereum Layer-2 Rollup, experienced a two-hour network outage starting around 00:03 UTC on June 26. The halt was caused by a consensus issue that led to an invalid block being sequenced, which prevented the generation of new blocks after block 47806542. The team identified the problem, restored block sequencing by 01:51 UTC, and confirmed full recovery of ecosystem infrastructure synchronization shortly after. This incident highlights the operational reality for many L2s: while they leverage Ethereum for security and data availability, their day-to-day usability heavily depends on their sequencer and internal systems. Base employs a high-availability sequencer system with one active leader, but this setup did not prevent the outage when a consensus-level problem arose. This follows a previous 33-minute outage in August 2025 related to a faulty sequencer handover process. The downtime occurred near the scheduled activation window for the "Beryl" network upgrade, which has since been postponed. Beryl introduces the native B20 token standard, among other improvements. The incident has sparked renewed discussion about Base potentially launching its own network token in the future, shifting the conversation from mere speculation to questions about how a token might relate to sequencer decentralization, governance, and accountability in such failure scenarios.

Foresight News34 dk önce

Base Halts for Two Hours: A Single Invalid Block Reveals the Centralized Reality of L2s

Foresight News34 dk önce

İşlemler

Spot
Futures
活动图片