“电子乞丐”惹众怒,Starknet、Scroll接连遭遇舆论危机

Odaily星球日报Published on 2024-01-17Last updated on 2024-01-17

Abstract

项目方“口嗨”羊毛党,属实没有必要。

原创 | Odaily星球日报

作者 | Azuma

“电子乞丐”惹众怒,Starknet、Scroll接连遭遇舆论危机

近日,Starknet 又迎来了争议时刻。

事件的起因为,Starknet 的核心开发成员 Abdelhamid Bakhta(abdel.stark.eth)近期在社交媒体上将询问空投状况的社区用户公然称为“电子乞丐”(e-beggar);另一位开发者 od1n 亦涉嫌“使用表情包侮辱中文区用户”;此外 Starknet 还在官方 Discord 频道内新增了一个“电子乞丐”的子频道,并配以臭虫图标;。

“电子乞丐”惹众怒,Starknet、Scroll接连遭遇舆论危机

Starknet 官方 Discord 内的“电子乞丐”子频道。

“电子乞丐”惹众怒,Starknet、Scroll接连遭遇舆论危机

od1n 涉嫌侮辱中文区用户的记录

由于 Starknet 近期频频被传即将空投,但却迟迟没有实际动作,被吊了数年胃口的用户在情绪上本就逼近了爆发的临界点,不出意外,Abdelhamid 以及官方团队的此番操作直接引爆了部分用户的怒火。

随着事件的发酵,大量用户纷纷开始“礼貌慰问” Abdelhamid 及 Starknet;部分用户还通过制作各种 meme 来对 Starknet 进行嘲讽;最逗的是,有些用户还挖出了 od1n 早些年在 X(当时还是推特)上频繁讨论各个项目潜在空投的“打脸记录”,认为 od1n “重生之我是项目方”后便翻脸不认人。

“电子乞丐”惹众怒,Starknet、Scroll接连遭遇舆论危机

社区制作的 meme 图片。

“电子乞丐”惹众怒,Starknet、Scroll接连遭遇舆论危机

od1n 早年频频讨论潜在空投的记录之一

眼见舆论逐渐失控,昨日晚间 Abdelhamid 紧急发文致歉,承认自己使用“电子乞丐”一词并不合适,并解释表示最初只是觉得好玩,没有考虑用词所产生的后果,且加上 Uri 近期因家人健康问题辞去了 StarkWare 首席执行官之一,导致自己情绪进一步控制,反应过于强烈。

之后,Starknet 还在官方 Discord 频道内删除了“电子乞丐”的子频道。

虽然有许多用户在 Abdelhamid 道歉后表示理解,但仍有许多用户不买账,并在 Abdelhamid 的道歉声明下方继续“输出”。

值得一提的是,本次舆论风波之后,Starknet 上的“电子乞丐”概念 meme 币 EBG 及 EBGR 均迎来了逾暴涨,颇有称为该生态代表性 meme 的架势……

“电子乞丐”惹众怒,Starknet、Scroll接连遭遇舆论危机

Odaily 星球日报注:请警惕 meme 币波动较大,投资风险较高

无独有偶,Starknet 并非近期唯一一家因“电子乞丐”事件引发众怒的项目,Scroll 也曾惹火烧身。Scroll 高级研究员 Toghrul Maharramov 近期也曾在和用户“对线”时直接将对方称为“电子乞丐”,甚至还在发文嘲讽用户博取空投时直接使用了 fxxk 类的恶意词汇。

“电子乞丐”惹众怒,Starknet、Scroll接连遭遇舆论危机

如 Starknet 一般,Toghrul 的言论很快也为 Scroll 招来了社区的怒火。

接连发生的数起事件,其背后所反映出的深层矛盾其实是项目方与包括羊毛党在内的用户之间存在着理念分歧。

如何界定“真实用户”和“羊毛党”本就难以评估,即便许多用户使用某项目的初衷就是为了空投,但大部分用户在交互进程中往往也会进行很多带有明确目的的指向性操作,这些切切实实的使用行为均会反映在网络数据之上;反过来,也没有几个用户真的愿意放弃空投收益,单纯地“无偿贡献”。

对于项目方而言,团队希望将代币分配至更多所谓的真实用户手中,以维护项目发币之后的基本面状况,这本身无可厚非,但团队大可以默默地基于自己对于女巫行为的理解进行严格的地址筛查,天天盯着分歧进行言语输出属实没有必要,除了会误伤部分“真实用户”,并不会改善项目整体的交互画像。

退一步说,Web3 行业发展至今,“你要我的数据,我图你的空投”早已成为行业默契,虽说这一理念并不那么 zz 正确,但双方在需求端本就存在着捋不清的依赖关系,在这样的纠葛状态下去过多的强调分歧显然并不明智。

就本次事件而言,Starknet 和 Scroll 屡屡点破用户空投意图的行为可以定性为一场大型的公关失误。站在项目发展的角度考虑,技术开发固然重要,但运营方式同样不容忽视,我们很乐于看到 Starknet 和 Scroll 各自在非 EVM 环境 Rollup 以及等效 EVM Rollup 方面所带来的创新,也不希望它们因为如此低级的失误而被钉在了用户的对立面。

Web3 的征程还长,还没有到把内部分歧当作主要矛盾的时候,大家都还是“可以团结的力量”。

Related Reads

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbit3h ago

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbit3h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbit6h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbit6h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbit8h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbit8h ago

Trading

Spot
Futures
活动图片