🧐 Unveiling the Popular Sahara AI Testnet: How to Earn Rich Rewards in High-Difficulty Tasks | The Most Comprehensive Research Report and Testnet Tutorial Online——

Introduction:

This article is relatively long and may be the most comprehensive testnet tutorial available online; it mainly studies content related to @SaharaLabsAI:

If you are interested in the Sahara project, you can start from the beginning;

If you only want to know how to earn points through AI labeling in the testnet, I suggest you skip to the latter part, where you will find what you want;

Additionally, since many friends have messaged me about how to participate in the testnet, I have created a TG group for everyone to discuss together. Those interested in Sahara or currently participating in the testnet can apply to join;

TG search: @wulimiuuu to apply for the group

Main Content:

The Sahara testnet has been running for a while; I have also received many private messages from friends asking me questions, such as whether there are answers to some Exams in the testnet; what is AI labeling? Why do such tests?

First, the true value of AI data labeling lies in providing high-quality training data, which is crucial for improving the accuracy and performance of AI models.

Sahara AI is the first AI Chain that allows users to co-create infrastructure and gain real value through data labeling from day one;

Secondly, the Exams in the testnet are not tests or exams; what Sahara's testnet provides are items that need to be labeled by everyone;

In other words, these are the real AI labels. Some projects claim to have AI labeling but have never performed the labeling action, which is definitely false;

To be honest, this testnet should reward more tokens because, given its difficulty, it is incomparable to other interactive projects;

1️⃣ What is Sahara——

Sahara AI is an AI chain that provides infrastructure for "AI development" and "AI data/model assetization." It aims to build a blockchain-based AI platform that offers users and developers secure control and "copyright" protection over their AI assets.

As a decentralized AI blockchain platform, its core goal is to create an ethical, transparent, and accessible AI future through the realization of AI sovereignty and open technology.

It emphasizes AI's "sovereignty" and "provenance," allowing every user to control and own the AI models they create, ensuring that the transparency and usage rights of these models are not monopolized by large companies.

Sahara AI democratizes the development, deployment, and monetization of AI assets (covering AI models, datasets, agents, and other AI-related assets) through its pioneering AI asset concept and proprietary infrastructure. Whether professional developers, entrepreneurs, or ordinary enthusiasts, everyone can conveniently build or deploy personalized AI products based on Sahara AI and earn rewards through contributions, development, and deployment of AI assets, co-creating and sharing a more democratic and fair AI collaborative ecosystem.

Sahara AI employs a complex architecture that integrates four main layers, each playing a key role in ensuring the platform's efficiency, security, and scalability. These four layers—the application layer, transaction layer, data layer, and execution layer—form the foundation of the Sahara AI collaborative economy. Together, they provide a seamless experience for developers, data providers, and users.

So simply put ——

@SaharaLabsAI is a platform that allows everyone to participate in creating, using, and trading artificial intelligence (AI). It is like an open market where you can design your own AI tools, sell them to others, or use them yourself; its uniqueness lies in the transparency of each person's AI creations—who developed it and who owns it is clear, and no one can easily control these AIs.

My understanding is that it provides everyone with the opportunity to contribute their expertise in AI to earn money and makes AI fairer and safer, allowing anyone to play this "AI game" and earn from it.

2️⃣ Team and Investment

As a luxury AI project led by Binance Labs, Pantera Capital, and Polychain Capital, and attracting investments from Samsung, Matrix Partners, and Thailand's Kasikorn Bank;

Sahara AI made a stunning debut. A few days ago, @SaharaLabsAI invited a traditional AI company of the caliber of @AnthropicAI as the speaker for its first AMA,

essentially announcing that Sahara is the largest leader in Web3AI.

From the team announcement, Sahara AI is composed of experts from the AI and Web3 industries, with rich experience from leading tech companies and renowned research institutions (including Stanford University, USC, UC Berkeley, AI2, Microsoft, Binance, Stability AI, Google, Protocol Labs, Avalanche, etc.).

The founding team includes Sean Ren, an AI professor at USC and chair of the Viterbi Center, and Tyler Zhou @tz_sahara, former investment director at Binance Labs;

Binance Labs head He Yi stated: "Looking forward to Sahara AI as a pioneer in building a decentralized AI blockchain platform, reshaping the future of AI to be more transparent, secure, and accessible to everyone."

3️⃣ Basic Concepts and Tutorials for Participating in the Testnet——

1) What is a testnet

A testnet is a beta version of the platform where users can participate in the Sahara AI ecosystem and engage in practical operations.

High-quality data is the source of a good AI model. Sahara AI is the first to build an inclusive AI platform that everyone can participate in and benefit from from day one. By collecting, optimizing, and labeling datasets, participants will provide new oil for the next stage of developer products, directly driving the future development of artificial intelligence.

2) What is being tested

This test focuses on the AI labeling experience, requiring labelers to provide precise and detailed annotations of the data and ensure the accuracy of the results through careful observation. Generally, the more challenging the task, the greater its potential value. Therefore, you may be a labeler or a reviewer.

Testing directions include——

• Data service platform: Mainly testing user participation and feedback on data tasks, including data labeling, review, etc., to ensure that these tasks are effective and user-friendly.

• User incentive system: Testing how to incentivize users to participate through points and rewards, as well as the effectiveness and fairness of these incentives.

• Platform performance and stability: Ensuring that the platform can operate stably under different user operations and that processing speeds meet expectations.

3) Who can participate

First, participation in the testnet requires a whitelist, so if you have a whitelist, you will receive an email notification, and then you can get started;

If you currently do not have a WL and cannot participate, you can wait for a while, or you can join the waiting list:

https://hi.saharalabs.ai/get-started

4) How to get started

• Visit the platform: http://app.saharalabs.ai;

• Log in using a whitelisted wallet;

• Complete your profile;

• Start contributing;

5) How to start labeling

Generally, you may be either an annotator or a reviewer; since the current AI labeling only supports English,

it is recommended that those who are not proficient in English use this plugin to immerse themselves in the tasks, so that language does not affect the process:

Browser plugin recommendation: https://chromewebstore.google.com/detail/%E6%B2%89%E6%B5%B8%E5%BC%8F%E7%BF%BB%E8%AF%91-%E7%BD%91%E9%A1%B5%E7%BF%BB%E8%AF%91%E6%8F%92%E4%BB%B6-pdf%E7%BF%BB%E8%AF%91-%E5%85%8D%E8%B4%B9/bpoadfkcbjbfhfodiogcnhhhpibjhbnh?utm_source=official

Below is the tutorial for AI labelers——

Generally, after you submit, the more approved forms you have, the more points you may earn; I have been doing AI labeling for several days in a row. At first, I found the language and content quite challenging, but now I feel it is actually manageable; if we find the patterns, it will be much easier.

Since this test focuses on the AI labeling experience, completing AI labeling tasks requires labelers to provide precise and detailed annotations of the data and ensure the accuracy of the results through careful observation.

Typically, the more challenging the task, the greater its potential value. Therefore, during testing, you may be a labeler or a reviewer.

Here are the specific steps:

A) Enter the task panel

First, click Take exam to participate in the introductory exam; answering questions has a time limit (5-10 min), and an accuracy rate of over 80% is required. You can only apply for various tasks after passing different exams.

Here’s a tip: take a screenshot of all the English questions on the page—extract the text, and then throw it into GPT to get answers, which will generally allow you to pass with full marks.

B) Start the data labeling task (main channel for acquiring SP points)

After passing, click Apply to apply; the system will randomly assign you a role (which cannot be changed)——

Annotator: Answer questions according to task requirements.

Reviewer: Grade the submissions of others.

Both roles have the same weight for earning SP, mostly subjective questions, but there are accuracy requirements. If you do not meet this requirement, the task will be considered failed, and failing four times will result in being banned from tasks.

C) Annotator answering tips

Annotators will follow these four steps:

1. Passed Exam: You need to pass an exam before any labeling to confirm your eligibility;

2. Applied for Task: After passing the exam, you can apply;

3. Began Work: This process is when you start working, i.e., the time you begin labeling;

4. Work Completed: After completing all labeling, you can submit and wait; generally, results will be available a few hours or a day later;

The questions, formats, and answers for tasks in each field are the same, and you may repeat answering and submitting multiple times. Here’s what I do——

I throw the first question into Doubao AI, and it will give three answers at once.

Then I throw the second question in, and it will continue to answer based on the three answers above.

This way, you only need to ask the question once to get three different answers, completing three tasks and saving time.

After answering all, submit until it shows that you have reached the limit, indicating that the task is complete.

D) Reviewer approval tips

For reviewers, it is relatively simpler; combine the question with the answers provided by the respondent to see if they are reasonable. If reasonable, click Approve; if not, click Disapprove and provide a reason.

Here are a few reasons I commonly use——

Not specific enough

Not answering the question

The answer makes no sense

There is no valid information in the answer

No need to look at it word for word; generally, if it looks relatively long and is not just random gibberish, it can be approved;

E) Settlement of Points

Tasks are categorized into new tasks, in progress, and closed, with the task expiration time displayed. In practice, it takes about 1-1.5 hours of serious work each day to complete.

For ongoing tasks, if it shows "daily annotation limit reached," it is considered completed. If it shows annotate or review, you can continue working on that task.

After completing the task, you need to wait until the next day for SP to be settled, and you can see the SP earned from successfully completed tasks in the closed tasks section.

F) Leaderboard, EXP, and SP

SP stands for Sahara Points, which are earned through tasks (and may be one of the factors for future airdrops).

More importantly, EXP (experience points) is the only metric that determines your ranking on the leaderboard. The top 1000 on the leaderboard will be promoted to higher roles after S1 ends, allowing them to take on advanced and expert tasks.

Ways to earn:

Titan’s Vigil: Daily sign-in, 1 EXP.

Forge of Perseverance: Daily tasks, earn over 20 SP to claim 5 EXP.

Oracle of Knowledge: Unlock achievements; once a knowledge area reaches the 100 SP threshold, you can claim 30 EXP.

By signing in and completing tasks on the first day, you can reach up to 25 EXP.

G) Important Notes

Daily sign-in & task refresh time is 8:00 (UTC+8)

Answer questions well; if you get banned too many times, you may be restricted from tasks for a week or permanently lose access.

For other questions, refer to the official documentation: https://docs.saharalabs.ai

🚨 Here are some tips I used during the process——

• A) Remember to sign in: Make sure to sign in every day; signing in is the easiest way, and daily sign-ins and completing designated tasks are the basic ways to earn points.

• B) Complete all available tasks: Each time you log in, check and complete all available tasks. These tasks include data labeling, model reviews, answering questions, etc. Each completed task contributes to point accumulation.

• C) Focus on answer quality: In answering tasks, providing accurate and detailed answers may yield extra points; I suggest using external tools like GPT and X's Grok to improve answer quality; higher quality leads to more points.

• D) Understand task details: Each task may have specific requirements or scoring criteria; we cannot be lazy here. We need to read task instructions carefully to ensure you understand how to complete tasks correctly to maximize your point earnings; often, a low accuracy rate or poor answers may result in not earning points.

• E) Actively participate: There are no shortcuts here; you need to study more. You can only earn more points through a mechanism of more work equals more rewards, meaning the more you participate in tasks and activities, the more points you can earn.

• F) Maintain patience and persistence: Participating in the testnet is usually a long-term process; keep patient and continue participating. Point accumulation is gradual, and persistence will yield better results.

• G) Strategically choose tasks: Based on the value of the tasks and your time availability, choose those that allow you to earn more points in a short time. Some users suggest prioritizing high-value tasks.

Finally, it’s best to keep an eye on Sahara AI's official channels (like Twitter, Discord, etc.) for the latest task and activity information.

The testnet may update or add new task types at any time, and timely participation helps in rapid point growth.

Although not explicitly mentioned, actively participating in community discussions and sharing experiences may also increase your chances of being noticed and receiving more testing opportunities or points.

4️⃣ Other Related Questions (from official documents)

Q1: What is the true value of AI data labeling?

A: The true value of AI data labeling lies in providing high-quality training data, which is crucial for improving the accuracy and performance of AI models. Accurate labeling helps models correctly understand and process various types of information, leading to better outcomes in real-world applications.

Q2: Why is the Sahara AI testnet more difficult than the regular experiences on other platforms?

A: The design of the Sahara AI testnet aims to ensure that the collected data can achieve high-quality application effects in real environments, meaning the data is genuinely usable and valuable. The difficulty of this testnet not only enhances the accuracy of AI Web3 labeling but also ensures that participants can create more valuable training data. Sahara AI's philosophy is to be a pioneer in advancing AI Web3 labeling technology, advocating for inclusive participation and efficient data services, empowering community members to collaboratively build a high-quality AI ecosystem.

Q3: What kind of AI data labeling product does Sahara AI hope to build?

A: Sahara AI's data labeling product not only focuses on accuracy and high-quality data output but also emphasizes community participation and feedback. Sahara AI aims to be a pioneer in advancing AI Web3 labeling technology, advocating for inclusive participation and efficient data services, empowering community members to collaboratively build a high-quality AI ecosystem, and ensuring that participants receive fair recognition and rewards for their contributions.

Q4: What benefits will participants gain from contributing to Sahara AI's data labeling?

A:

1. Based on your completion rate, accuracy, and consistency, the platform will automatically calculate the Sahara points and achievements you earn, which can be redeemed for rich rewards.

2. High-quality contributors can unlock seasonal bonuses and improve their rankings on the leaderboard, gaining public recognition (participants with multiple low-quality contributions will gradually be banned to prevent affecting the contributions of other high-quality users).

Q5: Will the tasks in Sahara AI continue to be this difficult in the future?

A: As Sahara AI's training continues to improve and community feedback is received, we will continuously adjust the difficulty of tasks. As users gradually understand the requirements and processes of data labeling, efficiency and proficiency will increase. The progressive learning of high-quality contributors will gradually reduce the overall task difficulty. In the future, more products suitable for broader user participation will be launched.

Q6: What are the criteria for selecting participants for this test by Sahara AI?

A:

1. Actively engage with Sahara AI's social media.

2. Possess rich knowledge and experience in the AI and Web3 fields.

3. Have the potential to contribute high-quality data.

4. The use of bots to manipulate data is prohibited.

Q7: Will Sahara AI open up to more people in the future?

A: Sahara AI will closely engage with the community through the first quarter of internal testing and iterate the product based on user feedback, aiming to bring the product to the public as quickly as possible. Afterward, there are plans to gradually open up participation opportunities to more users to attract a broader community. This will help Sahara AI build a stronger and more diverse data labeling ecosystem.

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