STX:牛市大黑马?

金色财经Pubblicato 2024-08-07Pubblicato ultima volta 2024-08-07

大家好,发掘机会,把握机会,我是你的好邻居挖挖机。风险提示:请遵守国家相关法律法规,本文不构成投资建议

stacks项目启动于2019年,是由美国sec批准通过并以ico形式发行。在2024年4月比特币区块奖励减半,比特币现货ETF正在申请中,BTC绝对是未来的热门话题。在比特币市值不断膨胀的预期下,stacks的重要性日益凸显,STX的价格将也和BTC同向变动。

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把比特币“升级”为“以太坊”

stacks项目是一条部署在比特币,通过POX共识机制运行的L2公链,旨在解决比特币拓展性问题赋予比特币defi智能合约NFT等重要功能。比特币作为最大最原始的加密货币之一,一方面拥有超过40%的市占率的超大市值体量,另一方面,比特币的pow算力之高使得其安全性毋庸置疑,但第一代区块链系统总会有拓展性能太弱tps太低的问题。

stacks取长补短利用比特币算力来保护网络安全,他能够把比特币“升级”为“以太坊”,使得其巨大的市值有“用武之地”。(上一轮牛市顶端比特币市值已经超过一万亿美元)。

技术升级

即将到来的Nakamoto升级使得他可以生成sBTC与BTC1:1锚定由此方便比特币在二层网络上的交互,更容易地使用defi等智能合约。小编认为这似乎是比WBTC更好的选择,WBTC终究只是一个过渡方案,只是锚定比特币的ERC20代币。比特币合约交互运行在比特币网络上,这样才足够安全放心。另外针对比特币网络又慢又堵又贵的问题,此次升级将把出块速度调节到5秒一个,大幅增加stacks网络的运行速度,更快的速度更低的成本极大提高了使用体验。

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更大的波动性

stacks只有约六亿美元的市值,且流通率超过70%,假设比特币ETF被通过,比特币二层项目鸡犬升天。下一轮牛市比特币市值突破2万亿,乐观估计以比特币5%的市值来估算stacks市值为1000亿美元,STX的涨幅可能超过惊人的一百倍。但这个预测并不具有太高的客观性和合理性,因为智能合约并不是比特币的使命,以太坊生态已经非常完善,比特币合约生态是否有必要这是个值得思考的问题,山寨币投资风险极高,一百倍的收益期望也意味着你失去所有本金的风险。

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独特的POX质押奖励

质押STX能够与矿工分得一杯羹。 POX共识机制允许用户质押STX获得预计约9%的年化回报,这个奖励是以比特币形式发放。此外由于STX目前不兼容EVM所以需要使用专用钱包如Xverse等,通过该去中心化钱包你可以完成质押操作,每个质押周期为21天,较为灵活。

总之,STX可能是个潜力极大的项目但也有归零风险,山寨币投资风险极大,请遵守国家相关法律法规,自行深入研究,本文不构成投资建议

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GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

In mid-June, three seemingly independent industry events—the compliance-driven throttling of Fable 5, the open-sourcing of GLM-5.2, and the leaked release timeline for GPT-5.6—are pushing the global AI industry toward a watershed moment. These shifts signal a fundamental restructuring of the industry's underlying logic. First, **"usability" has substantially overtaken "advanced capabilities"** as the primary weight, pushing the global large language model (LLM) supply chain into a "dual-track" phase of controlled closed-source and local open-source coexistence. Second, **the competitive moats of closed-source giants are shifting**. Their technical focus is moving from "language intelligence" toward "spatial intelligence (world models)"—a domain heavily reliant on computing power. Third, faced with常态化 transnational compliance risks, **a "model-agnostic" decoupled design has become a survival necessity for application-layer developers to maintain business continuity.** The article details how Anthropic's Fable 5, despite its advanced engineering feats, was restricted for non-U.S. citizens within 72 hours of launch, highlighting how geopolitical compliance can instantly limit even the most advanced models. In response, the open-source camp, exemplified by Zhipu AI's MIT-licensed GLM-5.2, is gaining market share by offering stable performance improvements and significant cost advantages (up to 70% savings for enterprises), while achieving full adaptation with domestic semiconductor platforms. Meanwhile, closed-source leaders like OpenAI are pivoting. The anticipated GPT-5.6 reportedly shifts focus from language to spatial intelligence and world models, aiming to rebuild a generational gap in areas like 3D understanding, simulation, and industrial design that demand immense compute. The core conclusion is that the LLM supply chain's logic has changed. Enterprises must now evaluate infrastructure based on a composite of technical performance and policy compliance. For developers, complete reliance on a single closed-source API poses unacceptable risk. Implementing a truly model-agnostic architecture—enabling swift switches to compliant, locally deployable open-source alternatives—is no longer just good practice but a fundamental baseline for business continuity.

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Is the 'Token Subsidy War' Among AI Giants Almost Over?

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