链游周报 | MATR1X已燃烧销毁2亿枚MAX;BIGTIME周涨幅超40%(8.5-8.11)

Odaily星球日报Опубліковано о 2024-08-12Востаннє оновлено о 2024-08-12

Анотація

Catizen即将推出空战游戏Star Wing。

原创 | Odaily星球日报(@OdailyChina

作者 | Asher(@Asher_ 0210 

链游周报 | MATR1X已燃烧销毁2亿枚MAX;BIGTIME周涨幅超40%(8.5-8.11)

链游板块二级市场表现

截止今日,根据 Coingecko 数据,Gaming(GameFi)板块过去一周跌幅 0.3%;当前总市值为 12,782,830,710 美元,位列板块排行第 40 名,与上一周总市值板块排名下降两名。近一周内,GameFi 板块代币数量从 409 涨至 415,增加了 6 个项目,在板块排名中位列第 5,仅次于 DeFi、NFT、Meme、Finance/Banking 板块。

在已发币的 Gaming 项目中,有 89 个项目涨幅为正,周涨幅超过 20% 有 26 个项目,其中,Octokn 项目代币 OTK 以 68.4% 的涨幅领涨。此外,其他几个受到关注项目如下:

BIGTIME 突破 0.08 美元,过去 7 天涨幅为 41.0%,当前代币价格 0.088 美元;YGG 突破 0.37 美元,过去 7 天涨幅为 39.2%,当前代币价格 0.376 美元;DAR 过去 7 天涨幅为 23.8%,当前代币价格 0.13 美元;GMT 涨幅为 20.4%,当前代币价格 0.108 美元;ALICE 涨幅为 19.8%,当前代币价格 0.89 美元;MAVIA 涨幅为 17.2%,当前代币价格 1.36 美元;IMX 涨幅为 16.1%,当前代币价格 1.13 美元;PIXEL 涨幅为 15.7%,当前代币价格 0.126 美元。

链游 NFT 方面,据 NFT Price Foor 数据,游戏板块的 NFT 地板价在过去 7 日内涨幅 18.1%,位居板块第四。其中,排除交易量小于 20 ETH 项目后,7 日交易量最大的游戏 NFT 为 Nexus Nodes - Skyborne,7 日涨幅 5.38%,当前地板价为 0.68 ETH,7 日交易量为 95.93 ETH。此外,OVERWORLD INCARNA 7 日交易量为 68.97 ETH,过去 7 日涨幅为 21.48%,当前地板价为 0.42 ETH。

知名游戏动态追踪

MATR1X

链游周报 | MATR1X已燃烧销毁2亿枚MAX;BIGTIME周涨幅超40%(8.5-8.11)

官网:https://www.matr1x.io/

简介:MATR1X 是一个元宇宙品牌,计划通过自研精品游戏或与第三方合作、游戏 IP 开发合作、全球电竞赛事等方式打造MATR1X品牌。MATR1X 将通过 MATR1X FIRE(第一人称射击游戏)、MATR1X WAR(射击+MMORPG)和MATR1X EVOLUTION(SOC)三款统一世界观的大型游戏来演绎其游戏三部曲(赛博地球—火星移民—星际探索)。

最新动态:8 月 5 日,MATR1X 在 X 平台发文宣布,2 亿枚 MAX 已被燃烧销毁,占总供应量的 20%;其中,5000万枚来自来自团队与投资者,8000 万枚来自于社区部分,7000 万枚来自平台部分。

相关链接:https://x.com/Matr1x_io/status/1820360541929673107 

Catizen

链游周报 | MATR1X已燃烧销毁2亿枚MAX;BIGTIME周涨幅超40%(8.5-8.11)

官网:https://www.catizen.ai/

简介:Catizen 是一款 TON 生态上休闲挂机养猫链游,由 Pluto Studio 团队打造,是其 GameFi 平台的首款游戏。在休闲游戏和突破性创新的交汇点上,Catizen 推出了 "PLAY-TO-AIRDROP "模式。“用户的旅程不仅仅是一场游戏,更是在浩瀚的喵星宇宙中寻找代币的寻宝之旅。”

最新动态:8 月 12 日,Catizen 在 X 平台宣布即将推出一款空战游戏 Star Wing, 并成为 Catizen 迷你游戏中心的一部分。

相关链接:https://twitter.com/CatizenAI/status/1822910472628408710

Wild Forest

链游周报 | MATR1X已燃烧销毁2亿枚MAX;BIGTIME周涨幅超40%(8.5-8.11)

官网:https://playwildforest.io/

简介:Wild Forest 是 Ronin 生态一款免费的即时战略链游,游戏内有一个类似竞技场的 PvP 模式,游戏初始阶段只有一个空基地,玩家需要快速建造建筑物或兵营,直到他们统治并征服对方,而最先摧毁敌人基地的玩家将获胜。

最新动态:8 月 10 日,Ronin 生态链游 Wild Forest 在 X 发文表示,Play-to-Airdrop Season 2P2AS2)空投 WF 代币已分发至合格用户的游戏账户,用户可点击游戏内“ Manage”键进行申领。WF 代币总供应量的 2.5% 已发送给前 8000 名玩家。抽奖期间将随机抽取另外 2000 名符合条件的参与者。

相关链接:https://www.odaily.news/newsflash/385001

链游赛道其他值得关注的动态

Pixelverse

链游周报 | MATR1X已燃烧销毁2亿枚MAX;BIGTIME周涨幅超40%(8.5-8.11)

官网:https://pixelverse.xyz/

简介:Pixelverse 是一个赛博朋克主题的娱乐工作室和游戏,使 Web3 变得有趣且易于访问。

最新动态:8 月 8 日,Pixelverse 在 X 平台发文宣布与 Azur Games 建立合作伙伴关系,并且表示将与 Azur Games 一起推出新的游戏功能,在传统手机游戏和网页游戏之间架起一座 Web3 桥梁。

相关链接:https://twitter.com/pixelverse_xyz/status/1821564266526167184

Illuvium

链游周报 | MATR1X已燃烧销毁2亿枚MAX;BIGTIME周涨幅超40%(8.5-8.11)

官网:https://illuvium.io/

简介:Illuvium 是一个基于以太坊构建的 RPG 和 NFT 游戏,游戏机制在于玩家通过打怪升级来捕获野兽,并将其铸造生成 NFT,然后放到交易市场中卖出获利。

最新动态:8 月 9 日,Illuvium 在 X 平台发文宣布已与三星达成合作,以将游戏与数字艺术相结合。双方合作将把链游带入至 Web3 电视,并在德国科隆游戏展上开放体验。用户可通过参与来获得三星 Gen3 芯片和 GEN3 RATOR NFT 并解锁合作 NFT(包括来自 Illuvium 的限量系列)。

相关链接:https://x.com/illuviumio/status/1821767105819361398

Heroes of Mavia

链游周报 | MATR1X已燃烧销毁2亿枚MAX;BIGTIME周涨幅超40%(8.5-8.11)

官网:https://www.mavia.com/

简介:Heroes of Mavia 是由 Skrice Studios 开发的 Web3 MMO 策略 Play to Earn 游戏,玩家可以租赁或与土地所有者合作来获取和建造游戏中的基地,同时使用自己的基地和军队与其他玩家作战获得更多奖励,游戏界面与玩法与“部落冲突”相似。

最新动态:8 月 2 日,Heroes of Mavia 在 X 平台发文宣布,其 DAO 提案 MIP #103 以 94.7% 的支持率获得通过,该提案包括将不活跃玩家的红宝石卡一次性转换为蓝宝石卡,此提议仅适用于 2024 年 6 月 29 日之后未登录游戏的玩家。

相关链接:https://twitter.com/MaviaGame/status/1819125776480133572

Пов'язані матеріали

Fed Turns Hawkish, Wall Street Capitulates, Citi Stands as 'Last Holdout': Insists on Resuming Rate Cuts in October

Amid a surprisingly hawkish shift from the Fed and most of Wall Street capitulating on rate cut expectations, Citigroup stands as a notable outlier, holding firm to its forecast for monetary easing to restart this October. Following the June FOMC meeting, where the "dovish bias" was removed and the dot plot shifted dramatically, markets priced in nearly 37bps of tightening for 2026. Major banks like Deutsche Bank and Goldman Sachs revised their calls, predicting rate hikes as soon as September. Citigroup, however, maintains a baseline scenario for a 25bps rate cut in October, followed by two more cuts in December and January 2027. Its counter-consensus view rests on three key arguments: 1) Plunging oil prices are eliminating a major inflation upside risk. 2) Rising initial jobless claims are mirroring seasonal weakening patterns seen in 2024-2025, signaling a labor market cool-down. 3) The strong core PCE is an "outlier," heavily influenced by AI-related prices and equity market gains rather than broad consumer price pressures, with other inflation metrics showing more moderation. While Wall Street largely "surrenders" to the hawkish Fed narrative, with Deutsche Bank forecasting two hikes and Goldman Sachs warning of potential back-to-back moves, Citigroup remains the "last holdout," betting that disinflationary forces will pave the way for cuts before year-end.

marsbit2 хв тому

Fed Turns Hawkish, Wall Street Capitulates, Citi Stands as 'Last Holdout': Insists on Resuming Rate Cuts in October

marsbit2 хв тому

Open Systems Will Ultimately Prevail: Why Ethereum Is the Next Linux?

The article "Open Systems Will Ultimately Prevail: Why Ethereum Is the Next Linux?" argues that Ethereum, like Linux before it, will triumph over closed, proprietary systems in finance due to its open, permissionless, and credibly neutral nature. It draws a historical parallel: just as the open internet defeated corporate private networks and Linux outcompeted proprietary Unix systems, open financial infrastructure like Ethereum will surpass private blockchains. The core advantage lies in the "bazaar" development model (as described in Eric Raymond's "The Cathedral and the Bazaar"), where decentralized, permissionless innovation by a global community of developers outpaces the controlled "cathedral" approach of centralized entities. This model fosters rapid innovation, as seen with Ethereum standards like ERC-20 and applications like Uniswap, which were built without needing permission. Ethereum's key, irreplicable strength is its credible neutrality: transparent, equally applicable, immutable rules that allow anyone to participate. This ensures sovereign independence, meaning no single entity (company, government) can control or change its core rules—a critical feature for global financial infrastructure. In contrast, private blockchains and consortium chains (like SWIFT or various bank-led projects) suffer from platform risk, central control, and an inability to attract broad developer ecosystems, leading to frequent failures. The article notes that major institutions (e.g., BlackRock, JPMorgan, Coinbase, Robinhood) are already building on Ethereum or its Layer 2 networks, recognizing its security, developer ecosystem, and network effects. While critics argue finance requires accountable, controlled systems, the response is that compliance (KYC, regulations) can be built at the application layer on top of a neutral settlement layer like Ethereum, just as secure commerce was built on the open internet via HTTPS. Ultimately, the thesis is that attempting to build walled-garden, proprietary financial networks is a flawed strategy that stifles innovation. The winning approach is to build applications on top of open, credibly neutral infrastructure like Ethereum, which is poised to become the foundational settlement layer for global finance.

Foresight News13 хв тому

Open Systems Will Ultimately Prevail: Why Ethereum Is the Next Linux?

Foresight News13 хв тому

The Computing Power Dilemma in the Sino-US AI Rivalry

The Sino-US AI rivalry faces a fundamental bottleneck: the widening compute power gap. While Chinese AI chip companies have seen investment surges, their current focus remains largely on the less demanding inference market. The real challenge lies in the high-end training chip sector, crucial for developing cutting-edge large language models (LLMs), where Nvidia holds a near-monopoly. The compute disparity is stark. US tech giants like Meta, Google, and xAI command massive GPU clusters, enabling them to train trillion-parameter models rapidly. Estimates suggest US data center count and total compute capacity significantly outstrip China's. This "brute force" advantage allows for faster model iteration and exploration of larger parameter scales, with top US models reportedly leading their Chinese counterparts by 8 to 15 months. Chinese alternatives, such as Huawei's Ascend and others from companies like Moore Thread and Biren, are emerging. They show promise in inference and some training scenarios, closing the performance gap with mid-range Nvidia products. However, the core hurdle extends beyond raw chip performance to the entrenched software ecosystem, exemplified by Nvidia's CUDA platform. The path forward involves "walking on two legs": navigating import restrictions while heavily investing in the domestic chip industry. Though still in a catch-up phase, China's vast market, talent pool, and capital are fostering progress. The ultimate test is whether Chinese firms can build a competitive hardware-software ecosystem to power the next generation of AI.

marsbit19 хв тому

The Computing Power Dilemma in the Sino-US AI Rivalry

marsbit19 хв тому

He Kaiming's Team's New Work: After Deleting VAE and Private Data, Text-to-Image Generation Becomes Even Stronger

KaiMing He's team introduces **MiniT2I**, a minimalist text-to-image (T2I) model that challenges the complexity of mainstream approaches. It eliminates components commonly considered essential: the VAE encoder-decoder, AdaLN conditioning mechanisms, auxiliary losses, private training data, and post-training alignment stages like RL/DPO. Instead, it uses a pure flow-matching objective trained directly on RGB pixels. The model employs a simplified **MM-JiT** Transformer architecture. It removes AdaLN blocks for conditioning and instead prepends two lightweight text adapter blocks to a standard pre-norm Transformer, allowing frozen T5 text features to adapt to the denoiser. Training follows a two-stage, LLM-like paradigm using only public datasets: pre-training on LLaVA-recaptioned CC12M for coverage, followed by fine-tuning on ~120k high-quality image-text pairs. With just 258M parameters (B/16), MiniT2I achieves competitive scores (0.87 on GenEval, 84.2 on DPG-Bench), outperforming larger pixel-space models. Scaling to 912M parameters (L/16) yields results comparable to SD3-Medium (~2B parameters) in style, composition, and imagination, though it lags in text rendering and named entities due to public data limitations. Key advantages include lower computational cost (~570 GFLOPs vs. ~1379 for latent models) and architectural simplicity. Acknowledged limitations include patch boundary artifacts in pixel space, side effects of high CFG scales, resolution ceilings for sequences longer than 1024 tokens, and the aforementioned data bottlenecks. The work demonstrates that high-performance T2I generation is possible with a radically simplified, publicly reproducible baseline.

marsbit24 хв тому

He Kaiming's Team's New Work: After Deleting VAE and Private Data, Text-to-Image Generation Becomes Even Stronger

marsbit24 хв тому

Торгівля

Спот
Ф'ючерси
活动图片