Trump Memecoin to Be Used in Mobile Game About Billionaires

RBK-cryptoPubblicato 2025-12-10Pubblicato ultima volta 2025-12-10

Introduzione

The official Donald Trump meme coin, OFFICIAL TRUMP (TRUMP), will be used as a reward in the mobile game "Trump Billionaire Club." Promoted by Trump's long-time associate Bill Zanker, the game is set to launch on the App Store by the end of December. Set in New York, the 3D game allows users to spend TRUMP tokens to build a business empire and win prizes, with a total prize pool of $1 million in TRUMP tokens. The token, launched on January 18, 2025, initially surged to around $75 but has since declined by 92%, trading near $5.8. Zanker's company, Fight Fight Fight, which is behind the meme coin, has collaborated with Trump on multiple crypto projects. According to Financial Times, Trump and his family have earned over $1 billion from crypto projects in the past year, with TRUMP being a major contributor.

The memecoin of U.S. President Donald Trump, OFFICIAL TRUMP (TRUMP), will be used as a reward in the mobile game "Trump Billionaire Club." The token's promoter and long-time associate of Trump, entrepreneur Bill Zanker, plans to release the game app on the App Store by the end of December, sources told Bloomberg.

The 3D game will be set in New York. Users will be able to spend Trump tokens while attempting to build a business empire and win prizes. In the game's trailer, a voice resembling Trump's encourages players to become billionaires.

The prize pool in TRUMP tokens will amount to $1 million, according to the project's announcement. Organizers are inviting "true Trump fans" to sign up for the waitlist in advance.

The TRUMP memecoin was launched on January 18, 2025, two days before Trump's inauguration. Within 24 hours of its appearance, the token entered the list of the largest cryptocurrencies by market capitalization and reached an all-time high of around $75. Since then, TRUMP has fallen by 92% and is trading around $5.8.

The organizer behind the TRUMP memecoin release is the company Fight Fight Fight, associated with Bill Zanker. The entrepreneur, co-author of Trump's 2007 book "Think Big and Kick Ass," has collaborated with him on several crypto projects in recent years, including a crowdfunding website and a series of NFTs depicting Trump as a superhero.

Over the years, Zanker has built a portfolio of at least six companies related to the president, journalists note. This includes businesses producing sneakers, watches, and perfumes under the Trump brand, which are also sold for the TRUMP memecoin.

The developer of the "Trump Billionaire Club" game is Freedom 45 Games. A source from the publication stated that the game uses Trump's name under a licensing agreement.

Donald Trump and members of his family have received over $1 billion from crypto projects in a year, according to Financial Times estimates. Journalists calculated that the TRUMP memecoin was one of the main sources of this income.

Bitcoin hits new high since mid-November. What about other cryptocurrencies?

Bitcoin at $100,000 by the end of the year. What are the chances?

"Stop losses are wiped out along with the deposit." A selection of hot topics from the RBC Crypto Forum

Domande pertinenti

QWhat is the OFFICIAL TRUMP (TRUMP) memecoin going to be used for?

AIt will be used as a reward in the mobile game 'Trump Billionaire Club'.

QWho is the promoter of the TRUMP token and what is their connection to Donald Trump?

AThe promoter is entrepreneur Bill Zanker, a long-time associate of Donald Trump and co-author of his 2007 book 'Think Big and Kick Ass!'.

QWhat was the all-time high price of the TRUMP memecoin and what is its current approximate trading price?

AThe TRUMP memecoin reached an all-time high of approximately $75 and is currently trading around $5.8, representing a 92% decline.

QWhich company is developing the 'Trump Billionaire Club' mobile game?

AThe game is being developed by the company Freedom 45 Games.

QHow much have Donald Trump and his family reportedly earned from crypto projects in the past year, and which token was a major source of this income?

AAccording to the Financial Times, Donald Trump and his family have earned over $1 billion from crypto projects in the past year, with the TRUMP memecoin being one of the main sources of this income.

Letture associate

Morning Brief | Deloitte Acquires Crypto Infrastructure Firm Blocknative; Stablecoin Firm Checker Raises $8M; a16z Likely Becomes Largest External Holder of HYPE

ChainCatcher Daily Update - May 21st Major headlines include Deloitte's acquisition of crypto infrastructure firm Blocknative, signaling further traditional finance adoption. In funding news, stablecoin infrastructure company Checker secured $8 million, while decentralized derivatives platform Variational raised $50 million in a Series A round led by Dragonfly Capital. Significant corporate moves saw Tether acquire SoftBank's entire stake in Twenty One Capital (XXI), and Mastercard pivot its strategy by investing in BVNK for stablecoin payments after abandoning Zerohash. VC giant Andreessen Horowitz (a16z) is reported to be a major external holder of HYPE, with positions exceeding $356 million. On the institutional front, MicroStrategy's CEO noted that 13 of its top 15 institutional shareholders increased their $MSTR holdings in Q1 2026, with aggregate positions growing 27%. Meanwhile, the parent company of the NYSE, ICE, announced plans to launch a futures market for AI computing power ("hashrate"). The report also features a "Meme Hot List" ranking trending tokens on Ethereum, Solana, and Base networks, and highlights several key articles. These include an analysis of renowned investor Duan Yongping's first crypto investment in Circle, concerns over talent drain and institutional selling pressure at the Ethereum Foundation, the growing business of crypto asset recovery, and an examination of the trillion-dollar potential and remaining hurdles for the tokenized asset market.

链捕手24 min fa

Morning Brief | Deloitte Acquires Crypto Infrastructure Firm Blocknative; Stablecoin Firm Checker Raises $8M; a16z Likely Becomes Largest External Holder of HYPE

链捕手24 min fa

147 Trillion vs 70 Billion: The Rise of On-Chain 'Risk Managers' and the Potential Dawn of a New Era in DeFi Asset Management

"147 Trillion vs 70 Billion: The Rise of On-Chain 'Risk Managers' and the Potential Dawn of a New Era in DeFi Asset Management" Key Points: The role of professional asset managers is emerging in DeFi, ending the era where protocols and governance dictated everything. While early DeFi protocols like Aave and Compound bundled risk management within their code, innovations like Morpho have separated infrastructure from risk judgment. This allows specialized "Risk Managers" to operate independent lending vaults, acting as on-chain asset managers. The market, though early with ~$7B in assets under management (AUM), is rapidly consolidating around top performers like SteakhouseFi (RWA focus), SentoraHQ (AI-driven models), and Gauntlet (crisis management). This modular structure mirrors TradFi's division of labor: distributors (e.g., exchanges) source capital, Risk Managers design strategies and set standards, and underlying protocols handle custody and execution. For traditional asset managers, this familiar structure presents clear entry paths: 1) **Distribution**: Partnering with Risk Managers as a backend service. 2) **Supply**: Bringing real-world assets (RWA) on-chain as collateral. 3) **Operation**: Becoming a Risk Manager themselves (e.g., Bitwise). The core competency required is shifting from coding to traditional risk underwriting and financial expertise—areas where established institutions hold a natural advantage. While the current DeFi market (~$80B) is minuscule compared to global asset management (~$147T), it represents a significant growth runway. The teams that build the trusted standards and rails for risk-managed capital now are poised to define the market's future as institutional capital seeks secure on-ramps.

marsbit32 min fa

147 Trillion vs 70 Billion: The Rise of On-Chain 'Risk Managers' and the Potential Dawn of a New Era in DeFi Asset Management

marsbit32 min fa

Sui Launches Gasless Stablecoin Transfers, Supported by Fireblocks

Sui has officially launched "Gasless Stablecoin Transfers," a new protocol-level feature enabling users and enterprises to send supported stablecoins on Sui without paying gas fees or needing a separate SUI token balance. As the feature rolls out, stablecoin transfer fees on Sui are now effectively $0. Major stablecoins like USDsui, suiUSDe, AUSD, FDUSD, USDB, USDC, and USDY are already supported. This aims to simplify payments and remove a key barrier to mass adoption: requiring users to hold another token for gas. The enterprise platform Fireblocks, securing over $14 trillion in digital asset transactions, has integrated the feature in advance, enhancing institutional accessibility. Other wallets and custodians are also set to support zero-gas transactions. Sui co-founder Adeniyi Abiodun stated this brings Sui closer to being a global payment rail. Fireblocks' Ran Goldi noted it removes a major friction point for businesses building on-chain payments. This is a permanent structural change to Sui's mainnet, not a subsidy. It positions Sui as low-cost infrastructure for enterprises, traders, and AI agents. Sui's stablecoin transfer volume has surpassed $1 trillion since August 2025, with its architecture supporting high-frequency payments. Recent growth includes three SUI Exchange-Traded Products (ETPs) launching in 2026 and the expansion of major stablecoin projects like USDsui and SuiUSDe on the network. Zero-gas stablecoin transfers are now being gradually deployed on the Sui mainnet.

marsbit33 min fa

Sui Launches Gasless Stablecoin Transfers, Supported by Fireblocks

marsbit33 min fa

Major AI Collaboration Breakthrough! Stanford and NVIDIA Jointly Eliminate AI Communication Overhead, Boosting Reasoning Speed by 2.4x

Title: AI Collaboration Breakthrough: Stanford & NVIDIA Eliminate Communication Overhead, Boost Reasoning Speed by 2.4x A new approach called RecursiveMAS, developed by UIUC, Stanford, NVIDIA, and MIT, tackles the major bottleneck in multi-agent AI systems: the "language tax." Currently, AI agents collaborate by generating and reading natural language text, a slow, costly, and information-lossy process akin to inefficient radio communication. RecursiveMAS bypasses this by enabling agents to communicate directly through their "thoughts"—latent space vector representations—instead of text. Inspired by recursive language models, it treats each agent like a reusable layer in a recursive loop. A special lightweight module called RecursiveLink passes these high-dimensional, semantic-rich internal states between agents. Only the final agent decodes the last latent representation into human-readable text. This process, described as "telepathic" communication, dramatically cuts the overhead of encoding and decoding text at each step. The system is highly efficient; the core AI model weights remain frozen, and only the small RecursiveLink modules are trained, requiring updates to just 0.31% of total parameters. This reduces training costs by over 50% compared to full fine-tuning. Comprehensive evaluations across math, science, coding, and QA benchmarks show significant improvements: - **Accuracy:** Average increase of 8.3%, with gains up to 18.1% on complex math problems (AIME2025). - **Speed:** End-to-end reasoning is 1.2x to 2.4x faster, with greater speedups as recursive depth increases. - **Cost:** Token usage is reduced by 34.6% to 75.6%. The research suggests a new scaling paradigm for multi-agent systems: deepening recursive collaboration depth rather than merely adding more agents. This could address key production barriers like compute cost, latency, and memory limits. However, challenges remain, including the need for independent verification, compatibility between different AI models (heterogeneous agents), reduced interpretability of the "black-box" latent communication, and adaptation to complex real-world workflows involving tools and human interaction. If validated, RecursiveMAS could fundamentally change how AI agents work together, moving beyond inefficient "textual handoffs" to more seamless and powerful collaborative reasoning.

marsbit1 h fa

Major AI Collaboration Breakthrough! Stanford and NVIDIA Jointly Eliminate AI Communication Overhead, Boosting Reasoning Speed by 2.4x

marsbit1 h fa

Trading

Spot
Futures
活动图片