以太坊联合创始人警告反对“亲加密”投票,而Ripple首席执行官…

币界网Published on 2024-07-18Last updated on 2024-07-18

币界网报道:
    以太坊联合创始人Vitalik警告不要选择支持加密货币的候选人。Ripple首席执行官呼吁在美国采取两党合作的方式处理加密货币问题。

加密货币行业在美国已经占据了政治生活。今年晚些时候,数百万加密货币爱好者、交易员、投资者和持有者将参加投票,选举另一位总统。

许多加密货币利益相关者一直在押注一年内的政权更迭,加密货币公司面临着美国证券交易委员会和其他监管机构的挑战。因此,加密货币行业的许多人希望为加密货币友好的候选人赢得白宫。

以加密货币为主题的2024年美国总统竞选

随着选举期的结束,前总统唐纳德·特朗普将自己定位为支持加密货币的候选人。他通过竞选活动接受了加密货币捐款,甚至制作了一个加密货币投资组合。

然而,特朗普长期以来一直是加密货币的坚定批评者,认为美元是唯一的全球货币。为了巩固他作为加密货币爱好者的地位,他提名加密货币倡导者JD Vance作为他的竞选伙伴,同时计划推出他的NTF。

特朗普在加密货币领域引起了狂热,许多以特朗普为主题的模因币进入市场。此外,他还向加密货币社区承诺结束“拜登对加密货币的仇恨”

然而,这种支持加密货币的情绪让一些关键的行业人士持批评态度,并建议谨慎行事。

Vitalik警告短期政治关注加密货币

首先,以太坊联合创始人Vitalik Buterin警告社区不要仅仅基于他们的加密货币立场来支持政客。

他认为,这种想法与加密货币的理念以及激发加密货币运动的动机背道而驰。

在他的X页面上,他分享了,

反对根据谁是“亲加密货币”来选择你的政治忠诚

他通过个人网站进一步解释了这一论点。他同意欧盟和英国最近的事态发展正在加剧加密货币社区的担忧。

指出这一点,

“在这些担忧之后,加密货币领域越来越倾向于在政治上更加活跃,几乎完全取决于政党和候选人是否愿意对“加密货币”宽容友好

他进一步补充说,

“在这篇文章中,我反对这一趋势,特别是,我认为以这种方式做出决定的风险很高,可能会违背最初将你带入加密货币领域的价值观。”

他建议加密货币社区不要仅仅因为他们目前的立场而选举政客,他提醒他们,俄罗斯政府在2018年对加密货币持开放态度。指出这一点,

“如果你今天看到一位“支持加密货币”的政治家,那么探索他们的潜在价值观是值得的,看看如果确实发生冲突,他们会优先考虑哪一方。”

Ripple首席执行官打破政治分歧

同样,Ripple首席执行官Garlinghouse是加密货币行业的另一位关键人物,他在华盛顿特区的加密货币圆桌会议上分享了对当前政治情绪的看法。

他警告社区不要继续围绕加密货币两极分化。Garlinghouse认为,两党都应该接受加密货币,不要让民主党人反对加密货币,而共和党人支持加密货币。

然而,他承认,不同的民主党人正在改变他们的立场。

此外,Garlinghouse对美国围绕加密货币的更广泛的政治分歧表示担忧。加密货币不应被政治化,政府应为该行业提供明确的规章制度。

Trending Cryptos

Related Reads

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

DeepSeek has updated its DeepSeek V4 model with the DSpark speculative decoding framework, achieving a significant 60-85% speedup in generation for Flash models and 57-78% for Pro models while maintaining the same overall throughput. This engineering-focused update, rather than a core architectural change, introduces DSpark to address latency and throughput bottlenecks in high-concurrency production environments. DSpark combines high-throughput parallel generation with adaptive load-aware verification. Its key innovations include a semi-autoregressive generation architecture to model dependencies within token blocks and a hardware-aware confidence-scheduled verification system. This system uses a confidence head to predict token acceptance probabilities, allowing it to dynamically optimize verification length per request and allocate compute only to tokens with the highest expected payoff. The asynchronous scheduler is designed for real-world deployment, ensuring zero-overhead scheduling and continuous CUDA graph replay while preserving the target model's output distribution. In tests across mathematical reasoning, code generation, and daily dialogue, DSpark outperformed state-of-the-art models like Eagle3 and DFlash, increasing average acceptance length by 26.7%-30.9% and 16.3%-18.4% respectively on Qwen3 target models. DeepSeek also open-sourced DeepSpec, a full-stack codebase for training and evaluating speculative decoding draft models, providing a standardized toolkit that includes data preparation tools, model implementations, training code, and evaluation scripts.

marsbit3h ago

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

marsbit3h ago

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

The Bitcoin mining industry is undergoing its most complex structural adjustment since inception. Despite Bitcoin's price holding near $61,000 and the network hash rate approaching a record 1 ZH/s, miner profitability is deteriorating. The industry is operating close to its breakeven point, with the 2028 halving expected to accelerate consolidation. The challenges extend beyond the halving's subsidy reduction; the industry's revenue model has yet to successfully transition towards a fee-driven structure. Increasingly, mining companies are evolving from simple Bitcoin producers into infrastructure and energy operators, including providers of AI/HPC computing power. Competition is shifting from pure hash rate expansion to business model upgrades. Economic pressure is evident. The theoretical daily mining revenue at current prices is around $78 million, yet the actual figure is only about $33 million—a 136% gap. Transaction fees remain low at roughly $220k daily, far below historical implied levels. With a current estimated industry-wide breakeven price near $65,000, mining alone is struggling to generate ideal profits. The 2028 halving is projected to push the fundamental production cost floor to approximately $93,289. This will likely accelerate a shift towards consolidation among larger, well-capitalized miners with diversified revenue streams. Competitive advantage will belong to institutionalized players with access to low-cost energy, AI/HPC hosting operations, and stronger balance sheets. In essence, Bitcoin mining is transitioning from a "mining business" to an "infrastructure business." Future profitability and resilience will depend less on block rewards and more on diversified income sources like energy management and computational infrastructure services. For investors, the key question is not the halving itself, but which miners can successfully navigate this business model transformation.

marsbit4h ago

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

marsbit4h ago

This is How God Karpathy Uses Claude?

Andrej Karpathy, a prominent figure in AI, has reportedly joined Anthropic, leading to a noticeable decrease in his open-source contributions and social media activity. A document claiming to be his personal "CLAUDE.md" file—a set of instructions for the Claude AI to follow within a specific codebase—has been circulating online. While its authenticity is unverified, the content aligns closely with Karpathy's publicly shared principles on effective AI-assisted programming. The document outlines key rules for AI coding assistants, emphasizing the importance of reading existing code thoroughly before writing new code to maintain consistency. It advises against over-engineering, advocating for simple, surgical modifications that match the project's existing style. Other guidelines include clarifying assumptions upfront, writing meaningful tests, thoughtful debugging, and carefully considering dependencies. The core message is that these principles help prevent common AI coding failures, such as introducing unnecessary abstractions, style drift, or making invisible architectural decisions. The community has noted that even experts like Karpathy require detailed instructions to guide AI effectively, akin to managing a junior developer. A related GitHub repository, "andrej-karpathy-skills," which encapsulates these ideas, is reported to significantly reduce Claude's code error rate. Ultimately, the advice stresses that the best CLAUDE.md is tailored to one's own tech stack and coding practices.

marsbit4h ago

This is How God Karpathy Uses Claude?

marsbit4h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片