超级链黑客松SuperHack2024 8个获胜项目速览

币界网Pubblicato 2024-08-19Pubblicato ultima volta 2024-08-19

币界网报道:

撰文:0xjs@

近日由ETHGlobal主办的超级链黑客松Superhack 2024,在经过8月2日至16日为期两周的比赛后,从291个项目中决选成8个获胜者。

这8个项目分别为:Tamayoshi、ChooseADelegate、Century Pay、EthDrive、QuickPay、Kiss or Slap、HomeBase、Draw dash。

以下为此8个项目简介:

Tamayoshi

Tamayoshi是一款类似 Tamagotchi 的无 gas 链上手机游戏。游戏中玩家需要照顾一只可以成长的虚拟宠物 Tamayoshi。玩家的行动都存储在链上,玩家可以通过喂食、玩耍或执行其他行动与它互动。账户抽象和无 gas 交易的绝佳范例。

Demo地址:https://tamayoshi.vercel.app/

ChooseADelegate

ChooseADelegate是一个Farcaster框架,它使用社交图谱来帮助人们选择活跃的代表来对 DAO 提案进行投票。ChooseADelegate创建了一个 Farcaster 框架,它首先允许用户查看他们是否选择了代表。如果他们有代表,它会检查该代表是否在最近的 10 个提案中处于活跃状态。如果他们没有代表或者他们有一个“坏”代表,它会建议一个代表供他们选择。

demo地址:暂无

github地址:https://github.com/Michael-Vander-Meiden/delegation_frame_optimism

Century Pay

Century Pay是一款 discord 机器人,可让用户通过 discord 付款。Century Pay旨在简化链上支付。用户可以轻松连接钱包并使用简单的 Discord 命令进行交易。无论是发送 ETH、访问水龙头还是为 ETHGlobal 黑客马拉松质押 ETH,Century Pay 都能简化流程。

由于与AA 钱包的集成,Century Pay链上交互很简单。用户可以使用密钥安全登录,他们的 gas 费用将由付款人承担。当交互需要发送价值(例如投票或铸造 NFT)时,机器人会提供清晰的指导,帮助用户无缝导航智能合约交互!

demo地址:https://discord.com/oauth2/authorize?client_id=1269633218811002880

EthDrive

EthDrive是一个用于存放资产的 Google Drive。EthDrive可让你像Google Drive一样组织和管理钱包中的资产。

通过结合 ERC6551 和帐户抽象,它可以通过类似于云存储服务的用户友好界面实现资产组织、转移、桥接、交换,甚至连接到各种 dApp。

EthDrive目录以 NFT 形式创建,资产可以存储在其中。这允许用户透明且集中地查看所有目录,就像单台计算机中的目录功能一样。我们称之为通用目录。 就像 ENS 一样,所有目录都成为通用目录的一部分,让每个人都可以使用。

为了提升 EthDrive 的用户体验,EthDrive专门为不分 L2 链创建了 Gas 费补贴,拥有 World ID 的用户可享受 Gas 费补贴,让 EthDrive 的使用更加便捷。

demo地址:https://super-eth-drive.vercel.app/

QuickPay

QuickPay 来自蒙古国,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家处付款。

QuickPay专注于在蒙古通过 Qpay 实现 USDC 支付,将加密货币和传统支付系统结合起来,无需商家直接集成加密货币,而且免gas 和 RWA 蒙古法币图格里克。

demo地址:https://quickpay-eosin.vercel.app/

Kiss or Slap

Kiss or Slap 是 Farcaster Frame 上的一款链上社交应用,它通过囚徒困境和代币经济学创造了一种与陌生人见面的有趣社交体验。

Kiss or Slap Frame可以在任何 Farcaster 频道中共享,用户会随机看到其他成员,并可以选择亲吻或扇他们耳光。Kiss or Slap 在 Base 上记录每次互动,因此用户无需签署交易。游戏的策略反映了囚徒困境:如果两个玩家都亲吻,他们就会获得代币。但如果一个人打耳光而另一个人亲吻,打耳光的人得分更高。由于每次互动都存储在链上,我们的排行榜会逐渐揭示每个成员的声誉。

demo地址:https://warpcast.com/~/developers/frames?url=https%3A%2F%2Fconnect-frame.vercel.app%2Fconnect

Homebase

HomeBase 是一个聚合各种 Base 项目的仪表板,为进入链上世界的人们简化了体验。个人可以创建 Coinbase 智能钱包并与不同的链上应用程序无缝交互。

HomeBase 充当了一个文化中心,使用户可以更轻松地在一个界面内探索新项目并与链上应用程序进行交互。

demo地址:https://homebase-six.vercel.app/

DrawDash

是一款链上 AI 艺术游戏。你将收到生成 AI 图像的提示,然后有 60 秒的时间来绘制你的版本。你的草图与 AI 的图像越接近,你完成得越快,你的得分就越高。

DrawDash融合了创造力和竞争性玩法,让玩家在享受乐趣的同时创作和增强艺术。完成草图后,玩家可以使用 AI ControlNet 技术增强他们的绘画,将作品铸造为 NFT,并将其列在集成市场上出售。

demo地址:https://drawdash.arttribute.io/

Letture associate

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.

marsbit4 h fa

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

marsbit4 h fa

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.

marsbit5 h fa

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

marsbit5 h fa

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.

marsbit5 h fa

This is How God Karpathy Uses Claude?

marsbit5 h fa

Trading

Spot
活动图片