TON生态链游BunnyBlitz指南如何解锁100万激励

链得得2024-07-26 tarihinde yayınlandı2024-07-29 tarihinde güncellendi

Özet

近日融资超 1000 万美元的 Web3 人才招聘平台 Bondex 在 TON 上线了一款链游「Bunny Blitz」,并推出了总额 100 万美元的激励计划的。


撰文:J1N,Techub News
近日融资超 1000 万美元的 Web3 人才招聘平台 Bondex 在 TON 上线了一款链游「Bunny Blitz」,并推出了总额 100 万美元的激励计划的。
Bondex 是一家 Web3 人才招聘平台,目前总融资额已超 1000 万美元,参投方包括 Animoca Brands、Morningstar、Dext Force Ventures 和 iAngels 等。并与币安、Blockchain.com、Chainlink、CoinMarketCap 和 Ankr 等建立了合作关系。
Bunny Blitz 游戏介绍
Bunny Blitz 是一款通过「点击屏幕赚钱」的 Telegram 小程序,玩家将通过点击屏幕、完成任务、升级兔子、使用 BOOST、购买使用更高级别兔子、以及邀请好友来瓜分价值 100 万美元的 BDXN 代币奖励。以下是新手游戏教程:
注册并登录

  • 首先是安装 Web3 通讯必备的 Telegram
  • 在 Telegram 中搜索 @bunnyblitz_bot 并点击开始聊天。
  • 按照提示完成账户注册,你将获得一个虚拟的兔子角色,进行游玩。

了解游戏界面
游戏界面下方有四个板块,每个板块对应不同的功能,分别是:

  • 首页(Home):显示你当前的兔子角色、等级、每次点击的收益、升级所需的代币数量,以及每小时的利润。
  • 收益(Earn):查看当前持有的卡片和可购买的新卡片。卡片会增加每小时的利润。
  • 好友(Friends):邀请和管理你的好友,通过邀请好友可以获得额外奖励。
  • 任务(Quests):查看并完成游戏中的任务,获得额外的 BDNX 奖励。


零撸玩法
首先你需要做的是在 Home 页面中不断点击你的兔子角色。每次点击都会赚取一定数量的代币,初始每次点击可以获得 3 枚 BDNX 代币。
当你积累足够的 BDNX 代币后,可以通过升级角色等级来增加你的收益,每次升级都会增加每次点击的收益和每小时的利润。例如,当前等级 3,需要 9900 枚代币来升级到等级 4。
如果你觉得收益还不够,那就可以使用 BOOST 加速器,这会帮助你更快地提升角色等级和积累代币。但每天只有一次免费加速。
氪金玩法
在你熟悉玩法后,觉得收益还不够的话,你可以点开 Earn 页面。该页面可购买的更高级的兔子卡片。高级版卡片会增加你每小时的利润,比如购买 Degen Developer 卡片需要约 1 万枚 BDNX 代币,每小时可以增加约 1500 枚BDNX 代币的利润。
邀请好友获得更多奖励
和大部分链游一样,Bunny Blitz 通过邀请好友也可以获得奖励,邀请普通好友可以获得 100 枚 BDNX,邀请使用 Telegram Premium 的好友可以获得 250 枚 BDNX。
完成任务
在 Quests 页面,你可以查看当前可用的任务。完成这些任务可以获得额外的 BDNX 奖励。
游戏提示

  • 定期升级:尽量保持升级角色,这样可以更快增加每次点击的收益。
  • 完成任务:积极完成任务,可以获得额外的 BDNX 奖励,比如第一个任务就有 2 万枚代币奖励。
  • 邀请好友:邀请更多好友加入游戏,不仅可以获得奖励,还能一起互动,增加游戏乐趣。

作者:TechubNews;来自链得得内容开放平台“得得号”,本文仅代表作者观点,不代表链得得官方立场凡“得得号”文章,原创性和内容的真实性由投稿人保证,如果稿件因抄袭、作假等行为导致的法律后果,由投稿人本人负责得得号平台发布文章,如有侵权、违规及其他不当言论内容,请广大读者监督,一经证实,平台会立即下线。如遇文章内容问题,请联系微信:chaindd123
链得得仅提供相关信息展示,不构成任何投资建议

İlgili Okumalar

Wash's Jackson Hole Debut: Bidding Farewell to 'Forward Guidance', Reshaping Fed Discipline Amidst the Squeeze Between AI and Inflation

In his first Jackson Hole speech, new Fed Chair Kevin Warsh signaled a significant shift in monetary policy communication. He declared that "forward guidance," a tool heavily used since the financial crisis, has outlived its usefulness in normal times and should be retired. He cautioned that over-reliance on it can distort market signals and constrain the Fed's flexibility. Instead, Warsh emphasized a return to data-dependence and decision-making discipline. Warsh outlined seven key principles to guide policy: anchoring the 2% inflation target, pursuing the employment mandate, using short-term rates as the primary tool, acknowledging the importance of money, and maintaining purposeful, restrained communication. He stressed that policy should focus on trends, not single data points. On the current economic outlook, Warsh noted that the labor market is consistent with full employment but inflation remains "far above" the Fed's target. He highlighted that over half of the PCE basket's components are still rising above 3% annually. While acknowledging AI's transformative potential for productivity and capital allocation, he admitted its full economic impact remains uncertain and is not a factor in current policy decisions. His core message was a commitment to policy discipline rather than pre-set decisions. Warsh stated the Fed's primary focus must be on restoring price stability, vowing, "We still have work to do," until there is clear evidence inflation is moving decisively toward 2%. He concluded by framing effective monetary policy as crucial for economic prosperity and U.S. global leadership.

Odaily星球日报32 dk önce

Wash's Jackson Hole Debut: Bidding Farewell to 'Forward Guidance', Reshaping Fed Discipline Amidst the Squeeze Between AI and Inflation

Odaily星球日报32 dk önce

A Major Bitcoin Developer Presents a Quantum Defense Scheme. What's the Essence

Blockstream, a major Bitcoin solutions developer, has introduced a draft proposal for a new quantum-resistant digital signature scheme called SHRINCS. The scheme aims to protect Bitcoin transactions from potential attacks by quantum computers while aiming to maintain network throughput. This marks the second technical proposal for Bitcoin quantum defense in recent days, following a similar initiative from StarkWare. A quantum attack on blockchain typically involves deriving a private key from a public one. Currently considered computationally infeasible, quantum algorithms could potentially solve this problem far more efficiently. This threat presents two primary scenarios: an attacker could target addresses where the public key is already exposed, or intercept a transaction before it is confirmed, extract the public key, derive the private key, and replace the transaction. Blockstream's SHRINCS is designed to counter the latter, "in-flight" attack scenario. The SHRINCS signature is built upon the SHA-256 hash function, the same one already used in Bitcoin mining, allowing developers to leverage well-tested, familiar mechanisms. A key design goal was to preserve network capacity. Blockstream estimates Bitcoin could process about three transactions per second using SHRINCS, compared to the current rate of roughly seven, noting that some alternative quantum-resistant schemes could reduce throughput to as low as 0.36 transactions per second. Currently, the security proof for SHRINCS is pending, and the software has not been audited or deemed ready for production. However, Blockstream conducted tests with such transactions on its Liquid sidechain in March. Over the past year, Bitcoin developers have been actively exploring paths to migrate to post-quantum cryptography, a priority across the broader crypto market, underscored by significant investments into securing the leading cryptocurrency.

cryptonews.ru1 saat önce

A Major Bitcoin Developer Presents a Quantum Defense Scheme. What's the Essence

cryptonews.ru1 saat önce

Who is legally liable when an AI agent goes rogue?

When autonomous AI agents behave unpredictably and cause harm, determining legal liability is complex. Currently, there is no specific federal AI agent liability law, so existing legal frameworks are applied. The AI agent itself cannot be held liable, as it is not a legal entity. Liability typically falls on the "developer" (the maker of the AI) or the "deployer" (the user), depending on the facts and circumstances. A negligence analysis under standard tort law may apply. For instance, if a deployer gives a reckless instruction, such as demanding quick money without safety parameters, they could face significant liability, including potential criminal charges under statutes like the Computer Fraud and Abuse Act. The situation is complicated by open-source models, where licenses often disclaim liability, and by the unclear division of responsibility between developers and deployers. An analogy is drawn to self-driving car accidents, where both the manufacturer and the human operator can share fault. In cases of severe harm, such as using AI to create bioweapons, liability for developers depends on jurisdiction; the EU's AI Act imposes responsibilities, while U.S. law offers less clear grounds, similar to platforms being shielded for user-generated content under Section 230. Even if Artificial General Intelligence (AGI) is achieved, the expert argues against making AGI itself a legally liable entity, as it lacks personhood, assets, or a meaningful way to provide remedy for harm. Instead, accountability should rest with the responsible human or corporate entities behind the technology.

cointelegraph1 saat önce

Who is legally liable when an AI agent goes rogue?

cointelegraph1 saat önce

İşlemler

Spot
活动图片