玩赚科幻战略游戏GalFi即将推出:提供战略游戏和无限的盈利潜力

币界网Опубликовано 2024-08-15Обновлено 2024-08-15

币界网报道:

新闻稿。GalFi将游戏与基础建设、行星开发、交易、赌注、任务、殖民、战斗等相结合,为玩家提供具有无限盈利潜力的战略银河体验。

2024年8月15日,地点-GalFi(银河金融)是一款赚钱的科幻战略游戏,主要侧重于为玩家提供多种不同的方式,通过生态系统的15种游戏货币和游戏的主要加密货币GalFi赚钱。该游戏将于2024年第四季度在以太坊和Polygon网络上推出。

什么是GalFi?

GalFi是一款以深空为背景的代币化科幻战略游戏,拥有一个由现实行星、小行星、戴森球体、环形世界、船只和太空结构组成的巨大星系,供玩家完全沉浸其中。该游戏为玩家提供了几个关键的游戏循环,包括:赌注、行星开发、建筑结构、资源生成、造船、任务、探索、殖民、战斗和游戏内交易。玩家可以通过多种不同的方式使用多达15种游戏货币,在明星中打造自己独特的财富之路。

探索游戏

更有野心的GalFi探险家可以在有争议的空间中进行深空探索和战斗游戏,同时广泛升级基地和其他结构。

想要被动赚钱的休闲玩家可以交易所有游戏内货币,以及大量游戏内物品、NFT,并从众多投注选项中获得APY。

所有GalFi飞船、资源、结构和建筑都是由玩家创建的,可用于打造广阔的太空帝国、开采异国资源或执行太空殖民任务。玩家可以通过玩游戏或使用游戏内DEX赚取、挖掘、交易或抵押GalFi的15种游戏内货币。

赚钱的方法

GalFi玩家可以从多种赚钱方式中进行选择,包括:

    开发行星并从不同建筑和结构中获得15种不同代币的可靠收入承担大胆、时间敏感的太空任务探索有争议的太空交易和开发行星、小行星和其他结构以销售P2P软质押支持的外部NFT+专业NFT集合通过GalFi Nexus NFT Marketplace交易行星、小行星、船只和船员NFT在MetaMask或Uniswap上交易GalFi[ETH和MATIC]在GalFi的原生DEX上交易多达15种游戏内货币GalFi玩家推荐计划通过链上流动性池质押所有GalFi货币

代币组学

GalFi团队致力于确保有足够的资源在很长一段时间内进一步开发游戏,为游戏和GalFi社区创造一个稳定和稳定增长的环境。

因此,GALFI代币将不会出售。相反,总供应量的80%被锁定在游戏中,供玩家通过各种游戏循环赚取。这种新兴的经济结构旨在使活跃的参与者在决定游戏命运方面发挥关键作用。希望立即进步的玩家可以通过从DEXs或在游戏中购买GALFI来获得提升。

早期采用者奖励

为了确保15种游戏货币的价值,随着时间的推移,建筑物、任务和软赌注的所有奖励都将逐渐减少。首次奖励结构再平衡将在游戏发布90天后进行,为GalFi的早期采用者提供游戏中最高的奖励。

NFT

在GalFi中,行星和小行星是玩家拥有的NFT,其元数据不断变化,反映了玩家的建筑和他们世界的定制。此外,还有两个GalFi NFT系列:船员NFT和专家NFT,每个系列都为任务和资源生成提供了独特的好处。GalFi还将支持17个当前的NFT系列,包括Aavegotchi、银河猿、银河猿起源、Star Wolvez等等。

玩家可以在GalFi Nexus NFT Marketplace上购买和交易GalFi NFT。直接从游戏中销售的行星、小行星和船员NFT的所有ETH和Matic的10%将用于购买GALFI和资源代币,以稳定市场。GalFi(银河金融)将于2024年第四季度推出。

要了解更多关于GalFi的信息,请访问此处的官方网站,并在此处阅读GalFi白皮书。

保持最新状态:在推特、Discord和Telegram上关注GalFi

Twitter | Discord | Telegram | Medium | Gitbook

媒体联系信息

联系人姓名:GalFi团队

联系邮箱:[email protected]

GalFI是此内容的来源。本新闻稿仅供参考。该信息不构成投资建议或投资要约。


这是一份新闻稿。读者在采取与推广公司或其任何附属公司或服务相关的任何行动之前,应进行尽职调查。Bitcoin.com不对因使用或依赖新闻稿中提到的任何内容、商品或服务而造成或声称造成的任何损害或损失直接或间接负责。

Похожее

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

marsbit5 ч. назад

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

marsbit5 ч. назад

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

marsbit6 ч. назад

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

marsbit6 ч. назад

Торговля

Спот
Фьючерсы
活动图片