Polymarket Launches Mini App In Its World App

TheCryptoTimesОпубликовано 2025-10-21Обновлено 2025-10-21

Polymarket, a decentralized prediction markets platform, has launched a new mini app inside World App, the official application of the Worldcoin ecosystem. The feature went live on October 21, offering eligible users a 10% bonus, up to 5 WLD (roughly $5), on first-time deposits made through the mini app. A minimum deposit of $5 is required to qualify for the bonus.

The rollout comes as part of a new partnership between Polymarket and the World Foundation, the organization behind World App and Worldcoin. The collaboration aims to incentivize user engagement while expanding access to prediction markets for World App’s growing global user base.

“We’re excited to announce our Polymarket mini app has launched in the World App,” the company wrote on X.

Launch amid technical advances in the World ecosystem

The mini app launch coincides with Worldcoin’s initiative to integrate cross-chain functionality and enhance user experience within its Layer 2 blockchain, World Chain. Earlier this month, World Chain adopted Chainlink’s Cross-Chain Interoperability Protocol (CCIP) and Cross-Chain Token (CCT) standard.

Chainlink’s integration enables cross-chain WLD transfers and provides low-latency price feeds via Data Streams, supporting DeFi apps like Polymarket.

“With Chainlink CCIP, WLD can now be safely transferred across blockchains,” said Steven Smith, VP of Engineering at Tools for Humanity. “This improves market safety and opens new trading possibilities.”

Polymarket’s launch within World App signals an increased integration between decentralized prediction platforms and the Worldcoin ecosystem. This development comes amid ongoing regulatory scrutiny in regions like Germany and Kenya, where product utility and real-world integrations may influence public and policy perception.

Also read: MetaMask Expands With Polymarket Integration

Mobile Only Image

Похожее

Even the DAT Companies Included in the Russell Index Can't Save Ethereum

The FTSE Russell preliminary list for 2026 includes several crypto-related companies like CoreWeave, Iren, Galaxy Digital, and DAT firms BitMine and Sharplink. Inclusion in the Russell 3000 index means billions in passive fund inflows will automatically buy these stocks. While this is positive for the stock prices of these Digital Asset Technology (DAT) companies, the article argues it may not directly benefit the underlying cryptocurrencies like Ethereum. DAT firms can use stock price gains to buy more crypto, but the capital doesn't flow directly to the assets. Citing David Hoffman's recent exit from ETH, the piece notes a structural issue: Ethereum's value as a public good ("giver, not taker") and the profit capture by L2s and applications mean only a small portion of ecosystem success translates to ETH's price. Despite BitMine buying millions of ETH during its price decline, Ethereum's value has fallen significantly. The conclusion is that while index inclusion marks traditional finance acceptance, the "ETH as money" narrative is fading. New value narratives for native tokens are needed, as current mechanisms like chain revenue and buybacks may have inherent limits.

marsbit41 мин. назад

Even the DAT Companies Included in the Russell Index Can't Save Ethereum

marsbit41 мин. назад

Confirmed: GPT-5.5 "Brain Drain" Exposed, OpenAI's Own Documentation Admits It

Summary: Evidence emerges that OpenAI's GPT-5.5 may be "silently" switching to a less capable model during use. Users report that after roughly two hours, the GPT-5.5 Extended Thinking model begins responding instantly with significantly degraded output quality, while the interface continues to display the premium model's label. Complaints on developer forums describe a loss of instruction-following ability and poor code quality, with even the highest "xhigh" tier affected. This is corroborated by an OpenAI help document stating that after Plus users exceed 160 messages per 3 hours, the system "silently" switches to a "mini" model without any user notification. Pro users also report "heavy thinking" modes being throttled during high server loads. Trace commands from earlier incidents have shown users requesting GPT-5.3 Codex but receiving GPT-5.2 outputs. OpenAI acknowledged performance degradation in mid-May, marking it resolved, but user reports surged again in late May. The pattern mirrors past controversies with GPT-5, 5.2, 5.3, and 5.4 releases, where each update was followed by user complaints of reduced capability. The article suggests cost-cutting on compute may be a factor, noting that while GPT-5.5 users struggle, GPT-5.6 is already being tested internally.

marsbit41 мин. назад

Confirmed: GPT-5.5 "Brain Drain" Exposed, OpenAI's Own Documentation Admits It

marsbit41 мин. назад

Agentized OS: It's Not About AI, It's About the Foundation

The Agentic OS: Beyond AI, It's About the Foundational Stack In 2026, major operating systems like Android, iOS, HarmonyOS, and Windows are entering the "Agentic" era, integrating proactive AI assistants deeply into the system layer. However, the real competition lies not in the flashy AI features showcased at events, but in the three-layer foundational stack that enables them: the system-level AI Runtime, proprietary/controllable chips, and the on-device/cloud model matrix. The AI Runtime acts as the central scheduler, managing model inference, resource allocation, and exposing capabilities to apps. Controllable chips (e.g., Apple Silicon, Google Tensor, Huawei Kirin) are crucial for deep hardware-software co-optimization, determining the efficiency and experience limits of on-device Agents. The on-device/cloud model matrix provides the "intelligence," with proprietary, chip-optimized small models (like Gemini Nano, Apple's ~3B model) handling daily tasks locally for low latency, privacy, and reliability, while cloud models tackle complex requests. Deep synergy between these three layers enables key Agent differentiators: ultra-low latency and power efficiency, genuine "on-device first" privacy, access to system-level personal context across apps, and reliable performance as a system service even offline. OS vendors with strong integration across this stack (like Apple, Google, and Huawei) build a deeper moat. Beyond this core stack, long-term competitiveness depends on variables like structured App integration (e.g., App Intents/AppFunctions) for reliable multi-step workflows, and robust privacy frameworks that build user trust. This shift towards Agentic OS extends beyond phones and PCs to IoT, cars, and XR glasses via existing multi-device ecosystems. The race is won not in a keynote, but through generations of meticulously co-developed chips, models, and system software.

marsbit1 ч. назад

Agentized OS: It's Not About AI, It's About the Foundation

marsbit1 ч. назад

Why Sam Altman's 'Water and Electricity Theory' Sparks Copyright Controversy

OpenAI CEO Sam Altman's recent statement that "intelligence will become a utility like electricity or water" has sparked significant controversy, primarily around copyright issues and the nature of AI development. While positioning AI as a utility serves as a compelling narrative for infrastructure investors, critics argue the analogy is flawed in three key areas. First, there's a fundamental "property gap." Traditional utilities like water and power create new, physical infrastructure from scratch. In contrast, major AI models are trained by reorganizing vast amounts of existing human-created content—books, articles, code, etc.—often scraped from the web without explicit permission or compensation to creators. This "free acquisition, paid resale" model is seen by many as ethically problematic. Second, there's a "pricing gap." True public utilities are typically regulated to ensure universal service with non-discriminatory, cost-plus pricing. AI's token-based pricing, however, involves significant price discrimination (e.g., output tokens costing much more than input tokens) and is designed for revenue maximization, not equitable access. Third, a "governance gap" exists. Utilities operate under public oversight, while AI pricing and development are currently controlled by a few private companies. Furthermore, the industry's own shift toward buying licensed training data (e.g., deals with Reddit or news publishers) undermines its previous legal reliance on "fair use" for freely scraped data. In conclusion, while AI is indeed becoming a foundational technology, calling it a public utility remains contentious. The title requires not just scale and a pay-per-use model, but also credible solutions for data provenance, equitable pricing, and public governance.

marsbit1 ч. назад

Why Sam Altman's 'Water and Electricity Theory' Sparks Copyright Controversy

marsbit1 ч. назад

Ethereum OG Sitting On 630,000% Gain Wakes Up After 10 Years

On-chain data reveals a long-dormant Ethereum wallet from 2015, containing 2,000 ETH, has been reactivated after 10.8 years. Classified as a "pre-mine address," it belonged to an early participant from Ethereum's 2014 presale. The wallet's initial $620 investment, untouched for over a decade, is now worth over $4.2 million—a gain of nearly 630,000%. The activity began with a small test transfer of 1 ETH, followed by a near-complete movement of the remaining 1,997.9 ETH. While the funds have not been sent to a centralized exchange, the sudden activity suggests the owner may have recently regained access to lost or forgotten keys.

bitcoinist1 ч. назад

Ethereum OG Sitting On 630,000% Gain Wakes Up After 10 Years

bitcoinist1 ч. назад

Торговля

Спот
Фьючерсы
活动图片

Популярные категорииright-arrow

Популярные тегиright-arrow