对加密货币未来发展的十个期望目标:实现匿名支付、共享协议收入...

深潮Published on 2024-08-09Last updated on 2024-08-09

加密货币未来有望推动全球金融的数字化和去中心化。

撰文:Ignas | DeFi

编译:白话区块链

加密货币的发展在过去十年中取得了显著的进展,从最初的比特币到如今丰富多样的数字资产生态系统。当前,加密货币不仅在投资和交易领域占据一席之地,还逐渐渗透到金融、技术和社会各个层面,如去中心化金融(DeFi)、不可替代 Token(NFT)和区块链技术的广泛应用。然而,随着监管政策的逐步明确和技术的持续演进,加密货币未来的发展也将面临新的挑战和机遇。未来,加密货币有望在更加安全、合规的环境中与传统金融体系共存,并推动全球金融的进一步数字化和去中心化。与此同时,隐私保护、自主身份、智能合约等创新将进一步赋能个体和企业,塑造更公平透明的数字经济体系。

推特(X)作者 @DefiIgnas 分享了他最想用加密货币实现的十大愿望,希望可以给到开发者们一些灵感,能帮助这些变为现实):

1)使用我的链上股票组合作为抵押进行借款。

可以想象在 DeFi 借代协议上使用一个标普 500 指数的 Token 化版本。

2)在不泄露我的钱包地址和持有资产的情况下,从我的主钱包发送稳定币支付。

简而言之,就是匿名支付。

3)通过持有协议 Token 自动、程序化地赚取收益。

这看似简单,但很少有协议实现了费用共享功能。

4)使用协议服务,而不是区块链。

当我借出 USDC 时,存款在哪条链上不应成为问题。流动性应该在所有链上统一,而不是分散。

永远不再需要 Token 授权。

5)使用我的 BTC 作为抵押品,以不可变 / 去中心化的方式借入稳定币或法币。

另外,在比特币上发行原生的 USDC 或 USDT 作为 RuneToken。

6)确保在我去世后,能安全地将我的非托管钱包资产转移给家人。

7)让博客、YouTube 或 X(推特)订阅者用加密货币支付。

顺便提一句,Subst*ck 可能很快会通过 Stripe 的稳定币支付来支持这个功能。

8)自主身份认证:在任何 Web2 服务上验证我的身份,无需 KYC 且不冒私人数据泄露的风险。

例如,我上传我的 KYC 数据,并在链上记录验证的「证明」,而不存储这些数据。

9)智能法律合约:签署、存储和转移所有政府和私人合同,并具备防篡改的身份验证。

  • 房屋购买 / 租赁协议

  • 汽车交易、保险单

  • 认证和文凭

告别丢失的纸质文件。

10)让 Venture DAO 的成长逐渐取代风投。

Venture DAO 带有社区和用户基础,而风投往往是由非加密原住民的人资助的。

目前,Venture DAO 在透明和公开的操作中面临着劣势,这相对于风投来说是不利的。

最后,你的对于加密的愿望清单是什么?欢迎评论分享

Related Reads

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

A new era is dawning for the server CPU (Central Processing Unit), driven by the shift from AI model training to large-scale reasoning and the rise of Agentic AI. This article explores how the CPU is reclaiming a central role in the AI data center. For years, the focus has been on the GPU (Graphics Processing Unit) for AI training. However, as AI moves to the inference and Agent phase—where tasks involve complex, multi-step reasoning, tool calls, and data management—the workload balance is flipping. Studies show CPUs now handle over 70% of the workload in Agentic AI, up from 10-30% in training. This is because Agent tasks generate massive intermediate data (KV Cache) that exceeds GPU memory, forcing it to be offloaded to the CPU's larger, more scalable memory pools. This increased importance is translating into market changes. Major players are taking note: NVIDIA launched its first standalone CPU line, Vera, based on ARM architecture and optimized for Agent performance. AMD doubled its server CPU market forecast to over $1200 billion by 2030. Analyst reports project the total server CPU market could reach $1700 billion by 2030, with AI-driven demand being a primary driver. Furthermore, the classic ratio of CPUs to GPUs in AI servers is rapidly changing, converging from 1:8 toward 1:1 for Agent deployments. This surge in demand has led to a rare industry-wide price increase of 10-15% for server CPUs from Intel and AMD, breaking a decade-long trend of "more performance for the same price." Demand is bifurcating into high-core-count CPUs for in-rack GPU support and moderate-core CPUs for standalone Agent task orchestration. In China, this global trend presents an opportunity for domestic CPU manufacturers like Hygon (海光信息) and Huawei Kunpeng, who are bolstered by both growing AI infrastructure needs and national policies promoting technological self-reliance ("xin chuang"). The maturity of their software ecosystems is also accelerating, evidenced by faster adaptation to new AI models. In conclusion, the narrative is shifting from a GPU-centric view to one where CPU-GPU synergy is critical. The CPU is no longer a peripheral component but a performance-defining bottleneck and a key growth driver in the AI hardware stack, opening a massive new market estimated in the hundreds of billions of dollars.

marsbit5h ago

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

marsbit5h ago

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

TechFlow Intelligence Report: This daily digest covers key developments in AI, crypto, hardware, and geopolitics. In AI, SK Telecom faces US export control scrutiny over its partnership with Anthropic, while a Gemini user reports being misled in a scam scenario, sparking safety debates. China's Z.AI launches the GLM-5.2 model, rivaling Claude Opus without NVIDIA chips. In crypto, Bithumb lists ReProtocol, and Upbit delists KernelDAO. On the hardware front, MIT researchers build a custom OS to study chips, ASML denies US claims its advanced lithography machines are in China, and Amazon considers selling its in-house AI chips. Apple's future A21 Pro chip may use TSMC's latest N2P process. Major tech issues include 10,000 GitHub repositories distributing malware and Apple patching a critical eavesdropping flaw in Beats earbuds. US stocks rise, led by semiconductors, with Intel surging 10.6%, while SpaceX falls 3.5%. Geopolitically, despite a US-Iran deal, the Strait of Hormuz remains risky with ~80 uncleared mines, stalling 80M barrels of oil on standby tankers. Iran postpones Switzerland talks, and Trump calls the agreement an "unconditional surrender." The report highlights a contrast: temporary geopolitical calm versus the ongoing, fundamental restructuring of tech supply chains and chip independence.

marsbit5h ago

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

marsbit5h ago

Trading

Spot
Futures
活动图片