Interaction Collection | Mahojin Check-in to Earn Points; KAIO Waitlist Application (February 23)

Odaily星球日报Опубліковано о 2026-02-23Востаннє оновлено о 2026-02-23

Анотація

Original Author: Asher (@Asher_ 0210) from Odaily Planet Daily (@OdailyChina) **Mahojin** An AI infrastructure platform aiming to become the "GitHub" for AI model creators and dataset developers. It enables intellectual property tracking and compensates original contributors. On April 1, 2025, Mahojin announced a $5 million funding round co-led by a16z CSX and Maelstrom. **Interaction Guide:** 1. Visit the official website, sign in, and link your X account. 2. Click "MAHO Points" and complete daily check-ins to earn points. 3. Upgrade your plan for additional point bonuses. **KAIO** A Layer 1 blockchain focused on institutional-grade RWA tokenization. In 2023, KAIO raised $11 million in funding, led by Laser Digital (Nomura’s digital asset subsidiary) and WebN Group. **Interaction Guide:** 1. Join the waitlist by connecting your wallet and submitting required information. 2. Complete related tasks on Galxe. **Edgen** An intelligent trading assistant for crypto assets, providing real-time market intelligence and actionable trading insights for retail and institutional traders. It has raised a total of $11 million across two funding rounds, with investments from Framework Ventures and North Island Ventures. **Interaction Guide:** 1. Log in via X account on the official website. 2. Complete daily check-in tasks in the "Task Center." 3. Additional tasks include beginner, weekly, and social missions.

Original | Odaily Planet Daily (@OdailyChina)

Author | Asher (@Asher_ 0210)

Mahojin: AI Infrastructure Platform

Project Introduction

Mahojin aims to build a "GitHub" for AI model creators and dataset developers. Its platform enables intellectual property tracking and pays rewards to the original contributors of models and datasets.

On April 1, 2025, Mahojin announced the completion of a $5 million funding round, co-led by a16z CSX and Maelstrom.

Interaction Tutorial

STEP 1. Go to the official website (Link: https://app.mahojin.ai/maho-point), click "Sign in" to log into your account, and bind your X account.

STEP 2. Click "MAHO Points" and then click "Check-in" to complete the daily check-in and earn points.

STEP 3. Upgrading your plan provides a points bonus.

KAIO: L1 Focused on Institutional-Grade RWA Tokenization

Project Introduction

KAIO is an L1 blockchain focused on institutional-grade Real World Asset (RWA) tokenization. The project completed an $11 million funding round in 2023, led by Laser Digital (Nomura's digital asset subsidiary) and WebN Group.

Interaction Tutorial

STEP 1. Go to the waitlist application website (Link: https://waitlist.kaio.xyz/), connect your wallet, fill in the relevant information, and complete the application.

STEP 2. Complete the relevant tasks for KAIO on Galxe (Link: https://app.galxe.com/quest/KAIO?sort=Trending).

Edgen: Intelligent Trading Assistant for Crypto Assets

Project Introduction

Edgen is an intelligent trading assistant for crypto assets, designed to provide comprehensive, real-time, and actionable market intelligence and trading suggestions for all types of crypto traders, from retail to institutional, falling under the InfoFi sector. It is not only a "full-time financial analyst" but also an intelligent assistant for retail traders to compete against whales, helping traders seize opportunities in the rapidly changing market.

According to ROOTDATA, Edgen has currently completed two funding rounds, totaling $11 million, with investment from institutions including Framework Ventures and North Island Ventures.

Interaction Tutorial

STEP 1. Go to the official website (Link: https://www.edgen.tech/zh/task/), and log in using your X account.

STEP 2. Click on "Task Center" and then complete the daily check-in task.

STEP 3. In addition to the daily check-in task, you can also complete beginner tasks, weekly tasks, social tasks, etc.

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Пов'язані питання

QWhat is the main purpose of Mahojin's platform?

AMahojin aims to build a 'GitHub' for AI model creators and dataset developers, enabling intellectual property tracking and paying rewards to the original contributors of models and datasets.

QHow much funding did Mahojin announce on April 1, 2025, and who were the lead investors?

AMahojin announced a $5 million funding round on April 1, 2025, co-led by a16z CSX and Maelstrom.

QWhat is KAIO blockchain focused on, and how much funding did it raise in 2023?

AKAIO is a Layer 1 blockchain focused on institutional-grade RWA (Real World Asset) tokenization. It raised $11 million in funding in 2023, led by Laser Digital (Nomura's digital asset subsidiary) and WebN Group.

QWhat type of service does Edgen provide, and what is its total raised funding amount according to ROOTDATA?

AEdgen is an intelligent trading assistant for crypto assets, providing comprehensive, real-time market intelligence and trading advice. According to ROOTDATA, it has raised a total of $11 million across two funding rounds.

QWhat are the common interactive steps users can take for Mahojin and Edgen to earn rewards?

AFor Mahojin, users can sign in, link their X account, and complete daily check-ins to earn points. For Edgen, users can log in with their X account, go to the task center, and complete daily check-in tasks, as well as other tasks like newcomer tasks, weekly tasks, and social tasks.

Пов'язані матеріали

Manus Buyback Plan Emerges: Chinese Investors Plan to Repurchase Equity with $2 Billion, Path to Hong Kong IPO Becomes Clearer

According to a report by The Information, early Chinese investors of Manus, including Tencent, Sequoia Capital China, and ZhenFund, are planning to repurchase the company from Meta for $2 billion—the same price Meta paid in its acquisition last December. This move is a direct response to the Chinese government's prohibition of the foreign acquisition in April. As part of the repurchase plan, Manus is considering establishing a Sino-foreign joint venture within China. This structure is seen as a way to ensure regulatory compliance for its Chinese investors and to pave the way for a future IPO in Hong Kong. Notably, U.S. investor Benchmark will not participate in the buyback, which will concentrate ownership even more among Chinese capital. Since its acquisition by Meta, Manus's business has grown rapidly, with its annualized revenue run rate reportedly increasing four-to-fivefold to $400-$500 million in roughly six months. This strong growth underpins the investors' willingness to repurchase at the original price. Financially, the forced unwinding of the deal may benefit the early investors, allowing them to regain equity at a cost far below the company's current implied valuation, with the added prospect of an independent future listing. However, specific terms of the repurchase, including funding proportions and the joint venture's equity structure, are still under negotiation. This "repurchase-joint venture-Hong Kong IPO" approach could serve as a reference model for other Chinese AI startups navigating cross-border M&A regulations.

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Manus Buyback Plan Emerges: Chinese Investors Plan to Repurchase Equity with $2 Billion, Path to Hong Kong IPO Becomes Clearer

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STRC Loses Peg by 11%, Can Strategy's Perpetual Motion Machine Keep Running?

The article discusses the significant and concerning depegging of MicroStrategy's (MSTR) preferred stock, STRC. Designed to trade near its $100 target par value, STRC has recently fallen sharply, reaching a low of $83.26 and closing at $88.59, representing an over 11% discount. STRC is a core component of MicroStrategy's financial strategy. As a perpetual preferred stock, it allows the company to raise capital through an "at-the-market" (ATM) issuance program without diluting common shareholders (MSTR). This capital is primarily used to purchase Bitcoin, creating a "capital flywheel": issuing STRC → raising cash → buying BTC → increasing net assets → supporting STRC's value. The flywheel's operation depends on STRC maintaining its $100 price. To enforce this, MicroStrategy employs a dynamic dividend mechanism, recently raising the rate to 11.5% and increasing payout frequency. However, this has failed to halt the depegging, indicating market concerns extend beyond yield. Analysts cite two main reasons. First, technical factors like forced liquidations from leveraged arbitrage trades may have exacerbated the sell-off. Second, and more fundamentally, is waning confidence in MicroStrategy's financial resilience. A JPMorgan report highlighted the company's limited cash relative to its ~$1.7 billion annual dividend obligation, raising liquidity concerns. While MicroStrategy counters that its massive Bitcoin holdings provide decades of coverage, this argument relies on the potential need to sell BTC—a departure from its long-standing "never sell" narrative. The company's recent sale of a small amount of Bitcoin for "testing," despite being framed as minor, has intensified these fears. The persistent depegging threatens to cripple MicroStrategy's primary funding channel. If STRC remains discounted, the company's ability to fund further Bitcoin purchases weakens. Should cash reserves dwindle while financing is constrained, the market may increasingly price in the risk of MicroStrategy becoming a forced seller of Bitcoin to meet obligations. This shift from a major marginal buyer to a potential seller could pose significant downside risk to the broader Bitcoin market.

链捕手22 хв тому

STRC Loses Peg by 11%, Can Strategy's Perpetual Motion Machine Keep Running?

链捕手22 хв тому

Behind the AI Scorecards Lies a Chinese 'Question Setter'

Behind the AI scorecards that dominate industry discussions—benchmarks like MMLU-Pro, MMMU, and MMMU-Pro—stands a Chinese-Canadian researcher: Wenhu Chen. As an assistant professor at the University of Waterloo and founder of the TIGER Lab, Chen has become a key "exam-setter" for evaluating large language and multimodal models. Chen first gained broader recognition with MMLU-Pro, a more challenging and stable update to the popular MMLU benchmark. As top models like OpenAI’s o3 began achieving near-perfect scores on the original MMLU, it became difficult to distinguish their true capabilities. MMLU-Pro introduced more complex reasoning questions, expanded answer choices, and filtered out ambiguous or simple items, effectively reintroducing differentiation among state-of-the-art models. His work on MMMU addressed the evaluation of multimodal models, requiring them to integrate visual information (like charts, diagrams, or tables) with textual knowledge across diverse academic subjects. Even the strongest models initially scored only around 56-59%, highlighting significant room for improvement in genuine multimodal reasoning. MMMU-Pro further refined this by preventing models from bypassing visual cues. Chen’s research focus has long been on complex information understanding and reasoning. His background—including a PhD at UC Santa Barbara, research at Google/DeepMind on Gemini, and now a role in Meta’s superintelligence lab—provides deep insight into model development and their potential weaknesses. His TIGER Lab also builds models (e.g., for video understanding and generation), ensuring his evaluation benchmarks are grounded in practical challenges. While AI headlines often spotlight company leaders and product launches, Chen’s work exemplifies the critical, behind-the-scenes contributions of researchers crafting the rigorous standards that define and drive progress in AI capabilities.

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Behind the AI Scorecards Lies a Chinese 'Question Setter'

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