Interactive Tutorial | Perle Labs, Which Raised $17.5 Million, Launches Season 1 Points Campaign

Odaily星球日报Опубліковано о 2026-01-22Востаннє оновлено о 2026-01-22

Анотація

Perle Labs, an AI training data platform backed by $17.5 million in funding, has launched its Season 1 points campaign. The platform, which uses human experts to perform verifiable, on-chain data labeling on Solana, allows users to earn points by completing tasks. The interactive tasks, available on their app, include: a legal contract classification quest (1,000 points), social media account bindings (500 points), a product tagging quest from complaint emails (1,000 points), a meeting caption quest requiring audio recordings (1,000 points, pending manual review), and a medical specialty classification quest (1,000 points). Each task requires connecting a Solana wallet with some SOL for transaction fees. Users can also earn a 10% referral bonus from invited friends. Points and badges can be tracked in the "Earnings" section.

Original | Odaily Planet Daily (@OdailyChina)

Author | Asher (@Asher_ 0210)

On January 19, Perle Labs, an AI training data platform driven by human experts, announced on platform X that the beta version ended on January 6. The Season 1 campaign is now officially launched. Users can earn points by completing various tasks.

Below, Odaily Planet Daily will give you a quick overview of Perle Labs and a step-by-step guide to participating in the Season 1 campaign to earn points and potentially qualify for a future token airdrop.

Perle Labs: An AI Training Data Platform Driven by Human Experts

Project Introduction

Perle Labs is an AI training data platform driven by human experts, focused on providing high-quality datasets to support decentralized AI development. According to ROOTDATA, Perle Labs has raised a total of $17.5 million in funding to date.

On the Perle Labs platform, experts (such as doctors, financial analysts) perform data annotation. Each step is recorded on the Solana blockchain, making it tamper-proof and fully traceable. Clients (such as pharmaceutical companies, banks) can directly access this "certified" data via API.

Step-by-Step Interaction Tutorial

Interaction Link: https://app.perle.xyz/

STEP 1. Click "Connect Wallet" to connect a wallet supporting the Solana network (you will get a personal referral link; inviting friends earns you 10% of the points they earn). Ensure the connected wallet has a small amount of SOL, as each task requires on-chain confirmation.

STEP 2. Click "Marketplace". There will be 5 tasks available to participate in.

Except for the social binding task, for each other task, you need to fully watch the instructions to unlock it.

Task 1. Join The Perle Labs Legal Classification Quest: Read excerpts from legal contracts and select the corresponding clause (the questions are highly specialized; using AI tools for assistance is recommended). 10 questions, 100 points each, 1000 points total.

Task 2. Welcome to Perle Labs: Bind your personal X, Discord, Telegram, etc. 5 tasks total, 100 points each, 500 points total.

Task 3. Join The Perle Labs Product Tagging Quest: Find the mentioned product in complaint email messages. 10 questions, 100 points each, 1000 points total.

Task 4. Join The Perle Labs Meeting Caption Quest: Read sentences aloud (in English). 10 questions, 100 points each, 1000 points total. The audio part requires manual review and won't show as completed immediately; just submit the voice content on-chain.

Task 5. Join The Perle Labs Medical Specialty Quest: Read the content of doctor's notes to determine the medical specialty of the case (the questions are highly specialized; using AI tools for assistance is recommended). 10 questions, 100 points each, 1000 points total.

STEP 3. Click "Earnings" to view your points and badge acquisition status.

Пов'язані питання

QWhat is Perle Labs and what is its primary focus?

APerle Labs is a human expert-driven AI training data platform that focuses on providing high-quality datasets to support decentralized AI development.

QHow much total funding has Perle Labs raised according to the article?

APerle Labs has raised a total of $17.5 million in funding.

QWhat is the purpose of the Season 1 campaign launched by Perle Labs?

AThe purpose of the Season 1 campaign is for users to complete various tasks to earn points, potentially for future token airdrops.

QWhich blockchain does Perle Labs use to record data annotation steps?

APerle Labs records every step of expert data annotation on the Solana blockchain.

QWhat are the five main quests available in the Marketplace for users to earn points?

AThe five main quests are: 1. Legal Classification Quest, 2. Social Account Binding, 3. Product Tagging Quest, 4. Meeting Caption Quest, and 5. Medical Specialty Quest.

Пов'язані матеріали

Bitcoin Price Could See Another Crash, But What Is The Long-Term Prognosis?

Bitcoin recently surpassed $78,000, reigniting bullish sentiment and expectations of reaching six figures. However, analyst Behdark warns of a potential price crash before any sustained recovery. He suggests current optimism may be misleading, possibly a tactic by market makers to attract buyers before a downturn. Technical analysis indicates bearish patterns, such as a triangle or diamagnetic formation, signaling a likely decline. Key resistance levels to watch are $77,000 and $80,552, where a reversal may occur. If a correction happens, support levels are identified near $72,800, $67,885, and $67,677, with a break below possibly leading to a further 10% drop. The long-term outlook remains above the $60,000 cycle support, suggesting eventual recovery after a short-term dip.

bitcoinist8 хв тому

Bitcoin Price Could See Another Crash, But What Is The Long-Term Prognosis?

bitcoinist8 хв тому

Prediction Markets Under Bias

The article "Prediction Markets Under Bias" by Jeff Park of Bitwise argues against the common media portrayal of prediction markets as mere gambling or a social ill. It distinguishes between gambling and investment based on whether a participant's strategy has a positive expected value (+EV), not the market's structure. The author contends that prediction markets, like poker, are skill-based and can be a legitimate form of investment, offering individuals autonomy, truth discovery, and decentralized value. The piece critiques the common conflation of prediction markets with casino gambling, highlighting their role in risk hedging and capital efficiency, similar to insurance and securitization. A key differentiator is their precision and finite expiration, which makes prices directly anchor to factual outcomes, rewarding deep research and information advantage rather than punishing the uninformed. The author concludes that media opposition often stems from a structural bias, as these markets challenge traditional information gatekeepers and promote a more democratic, transparent system for pricing truth. The real debate is not about information having a price, but about who controls and profits from it.

marsbit32 хв тому

Why Do You Always Lose Money on Polymarket? Because You're Betting on News, While the Pros Read the Rules

Why do you always lose money on Polymarket? Because you bet on news, while the pros study the rules. This article explains how top traders ("che tou") profit by meticulously analyzing market rules, not just predicting events. Polymarket, a prediction market platform, often sees disputes over event outcomes due to ambiguous rule wording. For instance, a market asking "Who will be the leader of Venezuela by the end of 2026?" was misinterpreted by many who bet on Delcy Rodríguez, assuming she held power. However, the rules specified "officially holds" as the formally appointed, sworn-in individual. Since Nicolás Maduro was still recognized as president officially, he won the market—even being in prison. To resolve such disputes, Polymarket uses a decentralized arbitration system via UMA protocol. The process involves: 1. Proposal: Anyone can propose a market outcome by staking 750 USDC, earning 5 USDC if unchallenged. 2. Dispute: A 2-hour window allows challenges with a 750 USDC stake; successful challengers earn 250 USDC. 3. Discussion: A 48-hour period on UMA Discord for evidence and debate. 4. Voting: UMA token holders vote in two 24-hour phases (blind then public). Outcomes require >65% consensus and 5M tokens voted; otherwise, four re-votes occur before Polymarket intervention. 5. Settlement: Results are final and automatic. Unlike traditional courts, Polymarket’s system lacks separation between arbitrators and stakeholders—voters often hold market positions, creating conflicts of interest. This leads to herd mentality in discussions and non-transparent outcomes without explanatory rulings, preventing precedent formation. Thus, success on Polymarket hinges on deep rule interpretation, not just event prediction, exploiting gaps between reality and contractual wording.

marsbit43 хв тому

Why Do You Always Lose Money on Polymarket? Because You're Betting on News, While the Pros Read the Rules

marsbit43 хв тому

DeepSeek Funding: Liang Wenfeng's 'Realist' Pivot

DeepSeek, a leading Chinese AI company, has initiated its first external funding round, aiming to raise at least $300 million at a valuation of no less than $10 billion. This move marks a significant shift from its founder Liang Wenfeng’s previous idealistic stance of rejecting external capital to maintain independence. Despite strong financial backing from its parent company, quantitative trading firm幻方量化 (Huanfang Quant), which provided an estimated $700 million in revenue in 2025 alone, DeepSeek faces mounting challenges. Key issues include a 15-month gap in major model updates, delays in its flagship V4 release, and the loss of several core researchers to competitors offering significantly higher compensation. The company is also undergoing a strategic pivot by migrating its infrastructure from NVIDIA’s CUDA to Huawei’s Ascend platform, a move aligned with China’s push for technological self-reliance amid U.S. export controls. However, DeepSeek lags behind rivals like智谱AI and MiniMax—both now publicly listed—in areas such as product ecosystem, multimodal capabilities, and commercialization. The funding round, though relatively small in scale, is seen as a way to establish a market-validated valuation anchor, making employee stock options more competitive and facilitating talent retention. It also signals DeepSeek’s transition from a pure research-oriented organization to a commercially-driven player in the global AI ecosystem.

marsbit1 год тому

DeepSeek Funding: Liang Wenfeng's 'Realist' Pivot

marsbit1 год тому

Warsh, Trump's Next 'Scapegoat' at the Federal Reserve?

Kevin Warsh, a nominee for the Federal Reserve chair, faces a challenging confirmation hearing amid political pressure from former President Donald Trump to implement immediate and significant interest rate cuts. Warsh has proposed reforms including reducing the Fed’s communication frequency and shrinking its $6.7 trillion balance sheet. However, market expectations for rate cuts remain limited, creating tension with Trump’s demands. Warsh’s stance has shifted over time, from hawkish during the financial crisis to more dovish recently, citing AI-driven productivity gains. His confirmation is further complicated by Republican Senator Thom Tillis’s threat to block the nomination unless an investigation into current Chair Jerome Powell is dropped. Trump has warned of firing Powell if he doesn’t leave on time. Observers note that Warsh risks becoming a "scapegoat"—either by yielding to political pressure and fueling inflation, or by resisting and facing Trump’s backlash. His ties to Trump’s circle and Wall Street support may aid his nomination, but his ability to balance political demands with the Fed’s credibility remains uncertain. Historical precedents, like Arthur Burns’s compliance with Nixon, highlight the risks of political interference in monetary policy.

marsbit1 год тому

Warsh, Trump's Next 'Scapegoat' at the Federal Reserve?

marsbit1 год тому

Торгівля

Спот

Ф'ючерси