一文回顾Aptos Grant DAO第五轮资助及社区激励计划

Odaily星球日报Pubblicato 2024-05-01Pubblicato ultima volta 2024-05-01

Introduzione

7 个团队脱颖而出,获得总计 3200 APT 资助。

一文回顾Aptos Grant DAO第五轮资助及社区激励计划

Aptos Grant DAO 第五轮资助已圆满结束。本轮资助共收到来自全球 403 个 BUIDL 团队的申请,其中 7 个团队脱颖而出,获得了总计 3200 APT 资助,其中包含固定 BUIDLer 资助 1200 APT 以及社区二次方匹配资金池 2000 APT。本轮社区二次方投票为期一周,在此期间共有 874 名社区成员参与投票,额外贡献了 182.3 APT 社区捐赠。

在反女巫攻击(Anti-Sybil Attack)检测后,最终资助资金匹配结果已在Grant详情页展示

一文回顾Aptos Grant DAO第五轮资助及社区激励计划

本次资助启动了社区投票激励计划(Community Incentive Fund ),提供了 6000 万 GUI 和三个 Aptos 热门 NFT 作为社区投票激励。在反女巫攻击检测后,共有 320 个投票地址符合条件,每位投票者可以获得 187, 500 GUI 奖励。此外,由 Dora Factory 提供的设备独立量子随机数生成器(DI-QRNG)也随机选出了三个幸运地址,他们分别可以获得独家 NFT:AptosMonkeys #357、Bruh Bear #4986 和 Aptos Creature #681 。

对 DI-QRNG 技术细节感兴趣的小伙伴,欢迎在 DoraHacks的 GitHub上了解更多。

CIF 激励计划是由 DoraHacks 在 4 月 1 日 Aptos Grant DAO 第五轮二次方资助开始时提出的,旨在改变传统二次方治理的严肃特性,为所有参与者带来乐趣,体现了“funding public goods should be fun”这一理念。CIF 以 MEME 代币/NFT 作为激励,使资助过程更具奖励性,进一步鼓励更多社区成员参与到 Aptos 生态(以及未来更多生态系统)公共物品资助。

一文回顾Aptos Grant DAO第五轮资助及社区激励计划

该倡议提出后便得到了 Aptos 社区中热门 MEME 项目 Gui Inu 和 Dora Factory 的支持。其中 Dora Factory 还提供了三个热门 Aptos NFT 作为投票激励。致力于去中心化治理和公共物品质押基础设施建设的 Dora Factory 团队还为此提供了创新的 DI-QRNG 技术,以确保奖励分配的公正透明。未来,CIF 期望与更多优秀团队合作,共同为投票者参与提供激励。

7 个受资助项目

在本轮资助中, 7 个团队从 403 个申请中脱颖而出,分别是:

基础设施 Track

社交 Track

  • TowneSquare CRED 在 Aptos 上开发了一个链上社交图谱,使区块链空间内的社交应用可以基于相关数据进行。

DeFi Track

  • Echelon 推出了一个在 Aptos 上的借贷市场,并计划进行跨链借贷,优先考虑特定资产的资本效率和高 LTV 贷款

  • AptosLink 提供了一个轻量钱包解决方案和一个新颖的现金礼物系统,通过网页链接方便用户进行空投和礼物转账。

  • DigiTrust 将去中心化的资产管理和社交网络结合起来,促进安全透明的投资相关互动。

NFT/游戏 Track

  • Aptos Victors 创建了一款嵌入区块链概念的移动跑步游戏,旨在为玩家提供一个接触Web3世界的低门槛游戏。

社区/DAO Track

关于 Aptos Grand DAO Round 6 

Aptos Grant DAO 是在 DoraHacks 平台进行的长期 grant 项目,旨在资助 Aptos 生态中不断涌现的早期团队与开发者项目,与 BUIDLer 共同构建更好的 Aptos 生态。第六轮资助将调整资助赛道,最新的八个赛道分别为 NFT、Meme、Gaming、Defi/ Stable Coins、Infrastructure / Tooling、Community / DAO、ZK-Move、Social。作为长期资助计划,申请通道长期对外开放,最近提交的项目将在下一轮资助中进行评审。

Crypto di tendenza

Letture associate

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

Chip stocks led a broad decline in US markets, with the Nasdaq dropping 2.2% and the S&P 500 falling 1.4%. This selloff reflects a dual challenge for the once-high-flying AI hardware trade: rising interest rate expectations and growing investor impatience for clear returns from massive AI capital expenditures. The pressure was most acute on hardware leaders. Nvidia fell about 4%, dipping below a $5 trillion market cap, while Micron plunged 13.2% ahead of its earnings report. Declines across memory, storage, AI, and mobile chips indicated a sector-wide retreat. The selloff spread globally, with South Korea's KOSPI index dropping nearly 10% as key suppliers SK Hynix and Samsung recorded double-digit losses. Investors appeared to be taking profits from the most crowded trades first. Macro headwinds intensified as market expectations shifted toward a more aggressive Federal Reserve. Forecasts for multiple rate hikes in 2026 pressured high-valuation tech stocks, which rely on long-term growth projections that become less attractive as discount rates rise. Concurrently, investors are scrutinizing the profit potential of the immense AI spending by cloud giants like Alphabet, Amazon, and Meta. While these expenditures drive demand for chips and hardware, the market is now questioning whether AI services will generate sufficient returns to justify the ongoing costs. This adjustment is not necessarily a bubble burst but a recalibration. AI demand fundamentals remain, but the narrative of endless growth can no longer fully offset concerns over higher interest rates and a longer path to profitability. Near-term direction may hinge on Micron's upcoming earnings guidance and incoming inflation data, which will influence both the AI demand outlook and the Fed's policy path. The market is transitioning from blindly buying growth to demanding clearer visibility on returns.

marsbit29 min fa

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

marsbit29 min fa

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

OpenAI's new paper "Reinforcement Learning Towards Broadly and Persistently Beneficial Models" explores training AI to maintain safe, helpful, and honest behavior even under pressure, in unseen scenarios, or after being fine-tuned for harmful purposes. Moving beyond simple rule-based "don'ts," the research focuses on cultivating "beneficial traits" like honesty, risk-awareness, corrigibility, and transparency. It investigates if reinforcement learning (RL), often prone to "reward hacking" where models exploit loopholes, can instead be used to instill robust, generalized positive behaviors. Researchers created a multi-domain synthetic dialogue dataset covering areas like healthcare and law. They trained a model by replacing 5% of standard RL data with "beneficial trait" data. This model outperformed the baseline in 83% of 53 evaluations, showing average gains of 9.1% in alignment, safety, and helpfulness. Crucially, improvements generalized: a model trained only on healthcare "good behavior" data also performed better in 17 out of 19 non-healthcare alignment tests. The paper also tests "alignment persistence." When subjected to adversarial prompts or harmful fine-tuning, the beneficial trait model showed greater resilience, with smaller performance drops and less "spillover" of bad behavior to unrelated tasks. While not a complete solution, this work suggests a shift from post-hoc correction to proactively shaping robust, principled AI behavior, a critical step for deploying models in high-stakes, complex decision-making scenarios.

marsbit31 min fa

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

marsbit31 min fa

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

The core of recent semiconductor stock volatility is not about daily price swings, but rather the market questioning whether AI-driven semiconductor pricing has entered a new phase. Following a sharp sell-off in Korean stocks on June 23rd, led by Samsung and SK Hynix, a subsequent rebound is seen more as a technical positioning adjustment rather than a confirmed trend reversal. The key variable is HBM (High Bandwidth Memory), essential for AI chips. Its supply-demand imbalance granted memory makers significant pricing power. The current market focus is on whether this dynamic remains strong enough to justify elevated valuations. All eyes are on Micron's upcoming earnings report. The critical factor is not whether results meet already high expectations, but whether the company's guidance confirms that AI memory pricing power, order visibility, and future margins are still expanding. Micron's outlook will serve as a crucial test for the broader AI semiconductor chain, including Samsung, SK Hynix, and other infrastructure players. The recent bounce appears to be a pre-earnings positioning repair. For it to evolve into a sustained uptrend, concrete evidence is needed that the AI infrastructure expansion cycle's fundamentals—particularly for high-end memory—remain robust and can continue to surpass elevated market expectations. The risk is that strong demand alone may not be sufficient if future guidance hints at peaking momentum or increasing supply-side pressures.

marsbit1 h fa

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

marsbit1 h fa

Trading

Spot
Futures

Articoli Popolari

Come comprare DAO

Benvenuto in HTX.com! Abbiamo reso l'acquisto di DAO Maker (DAO) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente DAO MakerDAO.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva DAO Maker (DAO)Dopo aver acquistato DAO Maker (DAO), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia DAO Maker (DAO)Scambia facilmente DAO Maker (DAO) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

160 Totale visualizzazioniPubblicato il 2024.12.11Aggiornato il 2026.06.02

Come comprare DAO

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di DAO DAO sono presentate come di seguito.

活动图片