Cyber Fighters在Web3集成之前推出Play-to-Airdrop

币界网Pubblicato 2024-08-15Pubblicato ultima volta 2024-08-15

币界网报道:

Cyber Fighters是一款拥有800多万玩家的侧滚动作游戏,正在为即将在Immutable zkEVM网络上推出的web3做准备。

作为这一过渡的一部分,游戏引入了“玩到空投”活动,允许玩家获得可能带来未来奖励的积分。

Immutable zkEVM集成预计将使当前玩家能够无缝过渡到游戏的web3版本。

来源:Cyber Fighter

什么是网络战士?

Cyber Fighters是一款侧滚式免费游戏,融合了动作、RPG和战斗类型的元素。设定在一个反乌托邦的未来,底特律市在第三次世界大战后陷入混乱,玩家可以从六个不同的英雄职业中进行选择,每个职业都有自己独特的技能和战斗风格。其中包括《网络官剑客》、《神雷的惩罚者》和《蜜蜂射手女王刺客》等。

玩家以默认英雄开始他们的旅程,并可以通过在市场上购买和打开Box NFT来解锁更强大的英雄NFT。

游戏具有多种战斗模式和复杂的技能系统,玩家可以在其中收集资源来解锁和升级能力。英雄也可以由协助战斗的宠物陪同,尽管它们的属性保持不变。此外,玩家可以制作和增强装备,以进一步增强英雄的力量。

Cyber Fighters是一款成功的web2游戏,目前正在向web3过渡,旨在整合区块链技术,提高游戏经济的透明度和稳定性。该游戏可在iOS和Android设备上使用,并以免费模式运行。

来源:Cyber Fighter

如何参与游戏空投活动?

虽然《网络战士》的完整web3版本尚未推出,但玩家可以通过参与当前版本的游戏开始获得空投积分。空投功能可以通过游戏中的web3按钮激活,该按钮将自动为玩家创建一个数字钱包。

积分可以通过收集特定的游戏内物品、完成日常任务和推荐朋友来获得。这些积分在排行榜上被追踪,预计前500名玩家将在活动结束后获得奖品。这些奖励的性质尚未披露。

虽然没有提供官方推出web3或分发空投奖励的具体日期,但预计未来会发布更多细节。

Letture associate

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.

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

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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.

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

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