NEAR推出NEAR DA,进军模块化区块链领域

Odaily星球日报2023-11-19 tarihinde yayınlandı2023-11-19 tarihinde güncellendi

Özet

11月8日,NEAR基金会宣布推出NEAR数据可用性(NEAR DA)层。

NEAR推出NEAR DA,进军模块化区块链领域

11 月 8 日,NEAR 基金会宣布推出 NEAR 数据可用性(NEAR DA)层。作为 NEAR Open Web 堆栈的一部分,NEAR DA 是一项突破性创新,为 ETH rollup 和以太坊开发者提供了强大、高性价比的数据可用性。

NEAR DA 将与一些首批用户共同启动,包括 StarkNet 的 Madara、Caldera、Fluent、VistaraDymension RollApps 和 Movement Labs

让我们简要了解一下 NEAR DA,探索为什么它对 NEAR、以太坊乃至构建真正开放网络的更大努力来说,都是一个如此令人兴奋和重要的发展。

NEAR DA —— 为模块化区块链开发铺平道路

有了 NEAR DA,ETH rollup 和以太坊开发者可以获得高性价比、可靠的数据可用性。截至 2023 年 9 月,NEAR 上的 100 kB calldata 花费 0.0033 美元,而在以太坊 L1 上,同样的 calldata 将花费用户 26.22 美元。对比之下 NEAR 便宜了 8000 倍!

NEAR DA 将帮助开发者降低成本,提高 rollup 的可靠性,同时保持以太坊的安全性。启动应用链或 L2 的高质量项目也将能够获得 NEAR DA 的支持。

NEAR 协议的联合创始人、NEAR 基金会新任 CEO Illia Polosukhin 表示:“为以太坊 rollup 提供数据可用性层,凸显了 NEAR 技术的多功能性,同时也帮助来自 Web3 的创始人们交付出色的产品,让我们更接近于 Open Web 的大规模采用。”

Polosukhin 补充说:“NEAR 的 L1 已经实现了超过三年的 100% 正常运行时间,因此它能为寻求安全 DA 的项目提供真正的可靠性,同时还有很高的性价比。NEAR 为开发者提供了极好的解决方案,无论他们正在哪个技术堆栈之上构建,现在 NEAR 也开始进军以太坊模块化区块链领域。”

扩展 NEAR 的开放网络堆栈

通过开放其区块链来提供数据可用性,NEAR 协议正在扩展其模块化区块链开发框架。这将让 Web3 开发者和创始人继续在以太坊上构建,同时根据他们的需求,利用 NEAR 的最先进技术进行一部分堆栈的开发。

NEAR DA 扩展了 NEAR 的 Open Web 堆栈的能力。Open Web 是一个开发者和用户都可以轻松构建、浏览和发现 Web3 产品和平台的切入点。它包括了使用 FastAuth 无需加密或种子短语就在几秒钟内创建账户,以及从数千个组件库中创建去中心化前端的能力。

对于在以太坊 rollup 上进行构建的开发者和创始人,如果对使用 NEAR DA 感兴趣,可以访问 near.org/data-availability 开始使用。

阅读更多:

İlgili Okumalar

Podcast Notes: Hyperliquid Has Become the Top Interest Point for Traditional Hedge Funds

Empire Podcast hosts Jason Yanowitz and Santiago Santos discuss the surging institutional interest in Hyperliquid, a decentralized perpetual exchange, marking the highest level of engagement from traditional hedge fund managers since Paul Tudor Jones endorsed Bitcoin in 2020. The primary driver is the demand for weekend trading of commodities like oil, especially during geopolitical tensions such as the Iran conflict, as Hyperliquid provides the only active price discovery venue when traditional markets are closed. Trade XYZ, a front-end on Hyperliquid, has seen significant growth, with weekend oil price predictions having a median error of only 50 basis points. Santos predicts commodity trading volume on Hyperliquid will surpass Bitcoin within the year and that its market cap could rise from $25 billion to $100 billion. Other key points include Kraken raising $200 million at a reduced valuation of $13.3 billion, and the SEC clarifying that self-custodied DeFi frontends like MetaMask are not subject to broker-dealer rules, resolving a major regulatory uncertainty. The hosts also note the strong correlation between crypto and macro markets, with the S&P 500 posting one of its best 10-day rallies since 1950. They highlight MicroStrategy's continued Bitcoin acquisitions and the potential of real-world asset (RWA) tokenization as a key trend. The discussion concludes with skepticism towards many L2 projects, predicting a wave of protocols truly going to zero as capital concentrates in proven assets like Bitcoin and Hyperliquid.

marsbit5 saat önce

Podcast Notes: Hyperliquid Has Become the Top Interest Point for Traditional Hedge Funds

marsbit5 saat önce

a16z: The Next Frontier of AI, The Triple Flywheel of Robotics, Autonomous Science, and Brain-Computer Interfaces

a16z presents a comprehensive investment thesis for the next frontier of AI: Physical AI, centered on a synergistic flywheel of robotics, autonomous science, and novel human-computer interfaces (HCIs) like brain-computers. While the current AI paradigm scales on language and code, the most disruptive future capabilities will emerge from three adjacent fields leveraging five core technical primitives: 1) learned representations of physical dynamics (via models like VLA, WAM, and native embodied models), 2) embodied action architectures (e.g., dual-system designs, diffusion-based motion generation, and RL fine-tuning like RECAP), 3) simulation and synthetic data as scaling infrastructure, 4) expanded sensory channels (touch, neural signals, silent speech, olfaction), and 5) closed-loop agent systems for long-horizon tasks. These primitives converge to power three key domains: * **Robotics:** The literal embodiment of AI, requiring all primitives for real-world physical interaction and manipulation. * **Autonomous Science:** Self-driving labs that conduct hypothesis-experiment-analysis loops, generating structured, causally-grounded data to improve physical AI models. * **Novel HCIs:** Devices (AR glasses, EMG wearables, BCIs) that expand human-AI bandwidth and act as massive data-collection networks for real-world human experience. These domains form a mutually reinforcing flywheel: Robotics enable autonomous labs, which in turn generate valuable data for robotics and materials science. New interfaces provide rich human-physical interaction data to train better robots and scientists. Together, they represent a new scaling axis for AI, moving beyond the digital realm to interact with and learn from physical reality, promising significant emergent capabilities and value.

marsbit5 saat önce

a16z: The Next Frontier of AI, The Triple Flywheel of Robotics, Autonomous Science, and Brain-Computer Interfaces

marsbit5 saat önce

İşlemler

Spot
Futures
活动图片