盘点ETHGlobal Superhack 8个获胜项目

Odaily星球日报Publicado em 2024-08-20Última atualização em 2024-08-20

Resumo

Superhack 从 8 月 2 日持续至 16 日,总奖金 20 万美元。

原文作者:Pzai,Foresight News

ETHGlobal 举办的为期两周的「超级链」Superhack 黑客松落下帷幕,并同时揭晓获奖项目。超级链(OP Stack)作为一种基于 Layer 2 的多链网络架构,各个链被集成至共享安全性和通信层的网络。开发者可以基于该架构直接构建快速高效的应用,本文梳理了本次黑客松的 8 个获胜项目。

盘点ETHGlobal Superhack 8个获胜项目

Tamayoshi 是一个类似 Tamagotchi(一款日本的像素风宠物小游戏) 的无 Gas 链上游戏。该游戏可以让玩家照顾一只可以成长的虚拟宠物。所有操作存储在链上,玩家可以通过喂食、玩耍或执行其他动作来与之交互。该项目还获得了 Blockscout 的奖池。

https://d1x7dwosqaosdj.cloudfront.net/images/2024-08-20/5b969d8d2f166d0bcd6437c6a5f8c3a3

ChooseADelegate 通过构建一个 Farcaster 框架,使用社交图谱来帮助人们选择一个活跃的代表来进行投票权委托,并提升 DAO 提案的投票参与度。

https://d1x7dwosqaosdj.cloudfront.net/images/2024-08-20/f3ce959f071b43e94130192e49cb0185

Century Pay 是一个 Discord 机器人,该机器人允许用户使用他们的钱包签署和发送交易。底层架构上,其采用 Base 智能钱包和 Alchemy 嵌入式钱包构建。该项目还获得了 Base(最佳支付应用)、Mode(DeFi 最佳 UX/UI)和 Blockscout 的奖池。

https://d1x7dwosqaosdj.cloudfront.net/images/2024-08-20/4046261ca0f9546ae14c06a0e1032471

EthDrive 通过类似 Google Drive 的友好界面和 ERC 6551 ,结合账户抽象为用户带来更便捷的资产管理功能。该项目获得了大部分赞助商的奖池,并在 Celo、Goldsky 和 Conduit 的奖池中获得第一名。

https://d1x7dwosqaosdj.cloudfront.net/images/2024-08-20/5fac70b6c78ae3c88f7fdfdd11ee874b

QuickPay 使 Base 上的 USDC 持有者能够使用现有的 Qpay 系统在蒙古的实体商户进行支付。它连接了加密货币和传统支付系统,无需商家直接集成加密货币。该项目获得了 Superform 最佳 ERC-7540 金库实例第一名,并获得了 Blockscout 和 Worldcoin 的奖池。

https://d1x7dwosqaosdj.cloudfront.net/images/2024-08-20/4b92a8e45999e50259a3cfb052d39beb

Kiss or Slap 是 Farcaster Frame 上的一款链上社交应用,通过潜在的囚徒困境和代币经济学,用户可以在选择的互动中构建声誉,并获得代币激励。该项目还获得了 Conduit 的奖池。

https://d1x7dwosqaosdj.cloudfront.net/images/2024-08-20/d356865bff274a16fe9e05fd1bb0a83f

HomeBase 是一个聚合了各种 Base 项目的仪表板,简化了进入链上世界的体验。用户可以创建 Coinbase 智能钱包并与不同的链上应用程序无缝交互。该项目还获得了 Blockscout 的奖池。

https://d1x7dwosqaosdj.cloudfront.net/images/2024-08-20/8fed789ba1d005040949ba7776e761be

Draw dash 提供了创造力和竞争性游戏的独特结合,让玩家在享受乐趣的同时创造和增强艺术。在完成草图后,玩家可以使用 AI ControlNet 技术增强他们的绘图,将他们的作品铸造为 NFT,并在综合市场上出售。

https://d1x7dwosqaosdj.cloudfront.net/images/2024-08-20/701d634fcb1067710a7567a221ecf06f

Leituras Relacionadas

A Group of Suzhou Engineers Unexpectedly Attain Financial Freedom

In Suzhou, a group of engineers from Lianxun Instruments, a leader in optical communication testing equipment, have achieved remarkable wealth after the company's IPO. Listed just two months ago on the STAR Market, the company's stock price surged approximately 30 times, making it the only A-share stock priced above 2,000 yuan. This surge created substantial fortunes for nearly 100 technical employees who held a collective 15.91% stake through employee stock ownership platforms, valued at over 36 billion yuan at the current market cap. Among them, nearly 40 became billionaires, while even the smallest holdings exceeded 5 million yuan in value. Founded in 2017 by Hu Haiyang, Yang Jian, and Huang Jianjun, Lianxun Instruments was established to address China's reliance on foreign high-end testing instruments. The company grew rapidly with a strong focus on R&D, where technical staff make up nearly 80% of its workforce. Early implementation of employee stock plans helped retain this core talent. The company's explosive growth is fueled by booming AI computing demand, with clients including major global optical module leaders. Its revenue skyrocketed from 276 million yuan in 2023 to 1.194 billion yuan in 2025, turning a profit in 2024. The IPO has also generated massive returns for early investors, including Suzhou's state-owned capital, which saw a hundredfold return. This story reflects a broader trend in China's markets, where technology firms in AI, semiconductors, and optics are creating new wealth, rewarding engineers and technical teams who are now central to modern capital-driven success stories, marking a shift from previous eras dominated by internet and real estate tycoons.

marsbitHá 24m

A Group of Suzhou Engineers Unexpectedly Attain Financial Freedom

marsbitHá 24m

NVIDIA's Annual 'Most Dangerous' Paper: AI Self-Replicating Code, Unlimited Leveling and Evolution

NVIDIA's "Red Queen Gödel Machine" (RQGM) paper proposes a potentially groundbreaking AI self-evolution framework. It breaks from the long-stalled concept of the "Gödel Machine," which required mathematically proven beneficial self-modifications, by adopting an evolutionary approach. The core, and most striking, innovation is that the AI does not just evolve its own code in a static environment. Instead, it co-evolves both the "student" (the task-performing agent) and the "examiner" (the evaluation system that judges it). This creates a dynamic, recursive self-improvement loop inspired by the biological "Red Queen Hypothesis"—where continuous adaptation is needed just to maintain relative fitness. The mechanism operates in epochs. Within an epoch, a fixed examiner evaluates all candidate code variants. At epoch boundaries, a new, potentially more rigorous examiner can replace the old one, but only if it proves statistically superior on a held-out "ground truth" dataset. This "controlled utility evolution" aims to ensure progress is measurable and grounded. The paper demonstrates RQGM's effectiveness across three domains: 1. **Code Generation:** It achieved a 71.7% test-set pass rate (improving over a 69.9% SOTA) while using 1.35-1.72x fewer computational tokens. 2. **Paper Writing:** In a subjective task, the co-evolved writer and reviewer achieved a 40.5% acceptance rate by a fixed human panel, up from 21.8%. 3. **Math Proofs:** It evolved more accurate graders (at 3x lower cost) and higher-scoring provers. Notably, RQGM also mitigated a known LLM bias where AI reviewers favor AI-generated content. By specifically rewarding reviewers that correctly rejected AI-written papers from a historical pool, the evolved system achieved impartiality while maintaining 80% accuracy. The research has sparked significant discussion about the acceleration of Recursive Self-Improvement (RSI). Some, like Anthropic's Jack Clark, have predicted a high probability of highly autonomous, self-evolving AI emerging by 2028. The paper suggests that when an AI begins to design its own evaluators and push itself toward ever-higher standards in a recursive loop, it may be taking a fundamental step toward redefining intelligence and autonomy.

marsbitHá 50m

NVIDIA's Annual 'Most Dangerous' Paper: AI Self-Replicating Code, Unlimited Leveling and Evolution

marsbitHá 50m

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

The article analyzes the shifting profit dynamics and power balance between Apple and memory suppliers like Micron within the iPhone supply chain. It highlights a social media post criticizing Apple for raising iPhone prices while blaming memory chip cost increases, despite historically paying suppliers like Micron very little. An estimated iPhone 18 cost breakdown is referenced. Historically, memory was a minor cost component. In 2017's iPhone X, memory accounted for only about 1.6-2.3% of the price, with Apple capturing nearly 50% net profit. Over time, memory's share of the Bill-of-Materials (BOM) cost has grown significantly, reaching an estimated 12-15% for the iPhone 17 series. The core driver of this change is soaring demand for memory from the AI industry, particularly for High Bandwidth Memory (HBM) and AI servers, which is diverting production capacity and squeezing supply for consumer electronics. Memory manufacturers, after enduring periods of low profits, now hold greater pricing power. This is reflected in their recent strong financials, like Micron's 84.6% gross margin. Apple CEO Tim Cook initially described the memory price pressure as unprecedented in his 40-year career, later calling it a "once-in-a-century flood," before Apple announced price hikes across several product lines, causing a significant stock drop. Elon Musk echoed Cook's sentiment about the dramatic cost surge. The article concludes that the era of memory suppliers being at the mercy of Apple's pricing power has temporarily reversed, thanks to AI-driven demand. It notes Apple is reportedly seeking to diversify its supply chain, including exploring chips from China's CXMT.

Odaily星球日报Há 2h

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

Odaily星球日报Há 2h

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

In a conversation with Anthony Pompliano, Darius Dale, founder of 42 Macro, discusses the Federal Reserve's monetary policy and the K-shaped U.S. economy. Dale characterizes new Fed Chair Kevin Warsh as a "dove in hawk's clothing," expecting the Fed to signal or enact policy tightening in the coming quarters to create room for later easing. He argues current economic signals, including high deficit spending, debt monetization, and credit growth, strongly indicate inflation is not on a credible path back to 2%, forcing the Fed to act. The discussion highlights the stark "K-shaped" economic reality. While top earners, buoyed by massive cash savings (up ~$8 trillion since pre-pandemic), continue robust spending, those at the bottom face severe financial strain, with delinquency rates on consumer loans reaching crisis-era highs. Dale attributes much of the current social and political anxiety to this divergence, driven by the "Cantillon effects" of monetary expansion, which disproportionately benefits asset owners. He emphasizes that in this environment of "financial repression," individuals must participate in asset markets to avoid being left behind. On equities, Dale notes a rotation from the "Magnificent Seven" tech giants into broader AI-exposed companies, while warning that the tech giants' massive capital expenditure cycles could eventually puncture over-optimistic cash flow projections. Dale concludes by stressing that the core desire across all economic strata is simply the dignity to provide for one's family, a goal currently undermined by systemic policies that act as a "wealth siphon" from the bottom to the top.

marsbitHá 3h

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

marsbitHá 3h

Trading

Spot
活动图片