Trump Memecoin to Be Used in Mobile Game About Billionaires

RBK-cryptoОпубліковано о 2025-12-10Востаннє оновлено о 2025-12-10

Анотація

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

Пов'язані питання

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.

Пов'язані матеріали

Upbit Rebalances 864B SHIB In Internal Wallet Move

South Korean cryptocurrency exchange Upbit moved a total of 864 billion SHIB (worth approximately $4 million) between its internal wallet addresses. The activity, involving transfers of 384 billion SHIB outbound and 480 billion SHIB inbound, occurred following a 36% SHIB price rally. On-chain data indicates this was a routine internal wallet rebalancing operation by the exchange, not a sell-off or liquidation event. The article cautions that while large on-chain transfers are highly visible, they require proper context and wallet labeling to interpret correctly. In this case, the movement between known Upbit addresses does not inherently signal a change in market supply or selling pressure for SHIB.

bitcoinist54 хв тому

Upbit Rebalances 864B SHIB In Internal Wallet Move

bitcoinist54 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit54 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit54 хв тому

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

The International Conference on Learning Representations (ICLR) 2027 has introduced a new submission rule limiting authors to a maximum of 20 papers per conference. This policy, announced due to a 68% surge in submissions for ICLR 2026 that strained the review system, aims to ensure fair and informative peer review. Google DeepMind researcher Dan Roy responded with a sarcastic petition on X, calling the 20-paper cap "absurd" and claiming it would slow AI progress. His post mockingly argued that AI agents can now produce incremental research and that large language models (LLMs) already handle all reviewing, so output should be maximized. This satire critiques the broader trend of AI's role in academia, referencing a 2025 study that found about 21% of ICLR 2026 reviews were likely fully AI-generated. Roy's underlying point questions whether simply capping submissions addresses the systemic issue of AI potentially flooding conferences with agent-written papers and AI-assisted reviews. The debate highlights tensions between managing submission volume and maintaining research quality as AI tools become pervasive.

marsbit59 хв тому

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

marsbit59 хв тому

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit1 год тому

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbit1 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit2 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit2 год тому

Торгівля

Спот
活动图片