懒人理财攻略|Upshift公布首期“加速任务”;Perena Vault开放申请(7月9日)

Odaily星球日报Publicado em 2025-07-09Última atualização em 2025-07-09

Resumo

DWF旗下Faclon将对Pendle YT及LP追溯36倍积分,但USDf却因而FUD而短暂脱锚。

原创 | Odaily 星球日报(@OdailyChina

作者|Azuma(@azuma_eth

懒人理财攻略|Upshift公布首期“加速任务”;Perena Vault开放申请(7月9日)

本栏目旨在覆盖当前市场上以稳定币(及其衍生代币)为主体的低风险收益策略(Odaily 注:代码风险永远无法排除),以帮助那些希望通过 U 本位理财来逐渐放大资金量级的用户寻找较为理想的生息机会。

往期记录

懒人理财攻略|Ripple 狂撒 RLUSD 激励;Electric 领投的年化 22% +新矿上线(6 月 4 日)

懒人理财攻略|Huma 2.0 重新开门;BounceBit 启动USD1激励活动(6 月 9 日)

懒人理财攻略|Sonic 第二季空投启动;Hyperliquid 生态“种子”项目开矿(6 月 18 日)

懒人理财攻略|USDC 存款即吃 17% +收益;SyrupUSDC 限额激励池别错过(6 月 24 日)

懒人理财攻略|Spark Farm 启动 SPK 激励;Gauntlet 上线 USD Alpha 策略(7 月 1 日)

旧矿跟进

Upshift 第二季启动

August 旗下的稳定币收益协议 Upshift 近期开放了第二季积分活动。第二季的特点在于每周一都会上线一项特殊任务,通过存入该任务制定的稳定币,可获取更高的收益率以及积分速率。

本周,Upshift 已公布了第二季活动的第一期特殊任务,指定的稳定币为我们曾推荐过的另一家项目 OpenEden 所发行的 cUSDO,目前在 Upshift 协议内存入 cUSDO 可获取 9.5% 的实时 APY,外加 10 倍的 Upshift 积分以及 12 倍的 OpenEden 积分。

懒人理财攻略|Upshift公布首期“加速任务”;Perena Vault开放申请(7月9日)

Faclon 追溯 Pendle YT 及 LP 积分(存在争议)

DWF Labs 旗下稳定币项目 Falcon Finance(USDf)前天已宣布将对 Pendle 上的 YT 及 LP 进行积分追溯,追溯积分倍率为 36 倍,这意味着此前利用 Pendle 进行“盲挖”的用户将比静态持有 USDf 的用户(6 倍)有着更高的积分速率,且后续这一积分速率优势大概率也会继续延续。

懒人理财攻略|Upshift公布首期“加速任务”;Perena Vault开放申请(7月9日)

值得一提的是,USDf 昨日遭遇了集中 FUD,质疑焦点主要围绕着储备情况及收益来源等方面。对此,Falcon 方面通过披露与 Harris & Trotter 合作进行的审计报告进行了回应,DWF Labs 执行合伙人 Andrei Grachev 也做出了进一步解释。

  • USDf 的储备资产中,稳定币和 BTC 占比约为 89% (约 5.65 亿美元),山寨币占比约 11% (约 6750 万美元),储备资产已经审计,当前超额抵押率为 116% 。

  • 收益率方面,协议收益构成如下:基差交易收益占比 44% ,套利交易收益占比 34% ,质押收益占比 22% 。

受 FUD 影响,USDf 昨日一度短时脱锚,最低曾下跌触及 0.8799 美元,随着官方下场回应,现已逐步回升至 0.9946 美元。各位可基于自己的风险倾向决定是否继续参与。

新增机会

Perena Vault 开放申请

前 Solana 基金会稳定币业务负责人 Anna Yuan 所创办的稳定币项目 Perena 今晨宣布已开放 Perena Vault 的白名单申请,Perena Vault 是 Perena 的核心收益生成工具,旨在通过自动化策略驱动的方式,有效配置 Perena 生态系统中的稳定资产(如 USDC、USDT、PYUSD 等),使其产生收益。

懒人理财攻略|Upshift公布首期“加速任务”;Perena Vault开放申请(7月9日)

目前,通过在 X 与 Perena 进行互动即有机会获取白名单,感兴趣的用户可试试互动拿白。

Leituras Relacionadas

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

marsbitHá 4h

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

marsbitHá 4h

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

marsbitHá 5h

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

marsbitHá 5h

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

marsbitHá 5h

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

marsbitHá 5h

Trading

Spot
活动图片