If there’s one type of content that has dominated the internet over the past two years, MBTI is definitely near the top of the list.

From “Why INTJs always prefer being alone” to “ENFPs are born social butterflies,” MBTI has practically become a new social language for younger generations.

Then came SBTI, which quickly took off in professional circles. Compared to MBTI’s focus on psychological tendencies, SBTI puts more emphasis on behavioral patterns and work styles in real-world environments.

The reason personality tests always go viral is actually pretty simple:

People are endlessly curious about one question:

“What kind of person am I, really?”

But here’s the problem.

These tests all describe your personality in the real world.

So what about the Web3 world?

What kind of person are you there?

Are you an “Alpha Hunter” constantly chasing the next opportunity at full speed?

Or a committed long-term believer with true diamond hands?

Are you an anonymous lurker?

Or an ecosystem socialite who loves interacting with communities?

In the past, these labels mostly existed as memes and inside jokes within crypto communities.

But now, RMTS (Web3.0 Personality Test), newly launched on AppsList, is trying to turn these “on-chain personalities” into something more systematic.

RMTS: A Personality Test Built for Web3 Users

RMTS is a fun personality-testing platform that supports both Web2 and Web3 login methods.

It doesn’t try to measure whether you’re “extroverted” or “sensitive.”

Instead, it analyzes your behavioral tendencies in the on-chain world based on how Web3 users actually think and act.

The entire test contains only 8 questions, but it evaluates you across four core dimensions:

• Risk
• Motivation
• Time
• Social

In simple terms, RMTS isn’t asking:

“What kind of person are you?”

It’s asking:

“What kind of Web3 player are you?”

What Kind of Personality Might You Get?

Based on your answers, RMTS generates a personalized Web3 personality profile.

For example:

Alpha Hunter

Always on the front lines. Extremely sensitive to information and naturally drawn to emerging projects and trends.

Diamond Hand Pro

A true long-term thinker who doesn’t FOMO easily and won’t let short-term volatility shake their convictions.

Beyond that, the system also visualizes your personality distribution across multiple on-chain behavioral dimensions:

• Degen / Safe (aggressive vs. conservative)
• Utility / Lore (practical vs. narrative-driven)
• Sniper / HODLer (short-term trader vs. long-term holder)
• Anon / Public (anonymous vs. highly social)

At their core, these are all real behavioral differences that exist among Web3 users.

And once you see the results, you realize something interesting:

Everyone participates in Web3 in completely different ways.

It Supports Both Web2 and Web3 Login

RMTS offers two login options:

• Email login
• Wallet login

That means even if you’re completely new to Web3, you can jump in immediately.

And for crypto-native users, wallet login makes the experience feel seamless and natural.

Why This Kind of Test Fits Web3 So Well

Because Web3 itself is an intensely personality-driven world.

Some people are obsessed with risk.

Some are deeply rational.

Some love narratives.

Some only trust data.

Some spend all day networking and engaging with communities.

Others stay permanently anonymous.

In the traditional internet era, these behaviors were simply user profiles.

But in Web3, they’re gradually becoming a new form of digital identity.

What makes RMTS interesting is this:

It’s one of the first attempts to visualize this kind of “on-chain personality” in a fun and approachable way.

Maybe You Should Take the Test

Maybe you think you’re a Diamond Hand.

Then the system tells you:

You’re actually a full-blown Alpha Hunter.

Or maybe you’ve always thought of yourself as a hardcore Degen —

only to discover that you’re really just a cautious long-term believer.

A lot of the time, people’s self-perception doesn’t fully match their actual behavioral patterns.

And that’s exactly what RMTS is trying to surface:

Your real Web3 behavioral personality.

So here’s the question:

What’s your true identity in the Web3 world?

Maybe it’s time to find out:

👉 https://datadid.memolabs.net/

If you’ve just heard about DataDID — or already created an account but still aren’t sure what you can actually do with it — this guide is for you.

DataDID is a decentralized data identity system. But rather than starting with definitions, here’s the simplest way to understand it:

Every action you take inside the ecosystem becomes part of your accumulation.

Points, data assets, ecosystem rewards — the deeper you participate, the more you build.

From registration to daily check-ins, minting, AppsList, SkillsList, event tasks, and the developer platform, the DataDID ecosystem is far more expansive than most people realize.

This guide will walk you through the entire ecosystem step by step.

Step 1: Register for DataDID and Create Your On-Chain Identity

Everything starts here.

Visit the DataDID platform and register using either your email address or a MetaMask wallet. The system will generate a unique decentralized identity (DID) for you.

This DID becomes your passport across the entire MEMO ecosystem. All of your future points, data assets, and participation records will be tied to this identity.

Registration takes about 2–3 minutes.

If someone invited you, entering an invitation code will instantly reward you with 500 starting points.

👉 Register now:

• Web: https://datadidapp.memolabs.net/
• H5: https://datadid.memolabs.net/
• Telegram: https://t.me/data_did_bot
• Pi Browser: https://datadidpi.memolabs.net/

Step 2: Daily Check-Ins — Keep Accumulating Points

After registering, the simplest — and most important — action begins:

Daily check-ins.

Click the check-in button on the DataDID homepage to complete your daily security report and receive points.

It sounds simple, but the long-term value is much bigger than it appears.

Points are the ecosystem’s record of participation and rights. They can be used for premium feature subscriptions and will also serve as an important basis for future reward distribution.

Points also benefit from a compounding time effect:

The earlier you start, the greater your long-term advantage becomes.

Step 3: Install the Browser Extension for Easier Check-Ins and More Powerful Features

If manually opening the website every day feels inconvenient, the DataDID browser extension is exactly what you need.

Once installed, you can complete daily check-ins directly inside your browser without switching pages.

But convenience is only the beginning.

The extension unlocks two much more important features.

Mint Your Tweets Into On-Chain Data Assets

After installing the extension and using it on Twitter/X, a Mint button will appear beneath your own tweets.

Clicking the button converts that tweet into an on-chain data asset powered by MEMO’s ERC-7829 Data Asset NFT standard.

Once minted, your tweet is no longer just text stored on Twitter’s servers. It becomes a digital asset with verifiable on-chain ownership:

• Owned by you
• Displayable
• Holdable
• Tradable in the upcoming data marketplace

Every tweet you mint today is positioning you for the future data economy.

AI Button: Earn Points Just by Posting

The extension also adds an AI button beneath tweet and reply boxes.

Click it, and the system automatically generates MEMO ecosystem-related tweets or quick replies. Once posted, you receive point rewards.

In other words:

You can casually use Twitter while accumulating ecosystem points at the same time.

👉 Install the DataDID browser extension:
https://datadidapp.memolabs.net/

Step 4: AppsList — Making Check-Ins More Interesting

DataDID is not just a check-in platform.

It’s a complete application ecosystem.

AppsList is DataDID’s built-in application marketplace, featuring a growing collection of functional Web3 applications.

You can log into all of them directly with your DataDID identity — no additional registration required. All activity remains tied to your DID.

Several standout applications are already live inside AppsList.

AliveCheck — A Core Safety Feature

AliveCheck is one of DataDID’s core protection modules.

Every day, users can check in to confirm they are safe. If no check-in occurs for two consecutive days, the system automatically alerts pre-designated emergency contacts.

Users can also configure:

• Location authorization
• Message capsules

A message capsule functions like a digital will. If you disappear or lose contact, the system automatically sends your preset message to selected contacts.

It’s one of the clearest examples of combining data sovereignty with real human-centered utility.

Personality Analysis

This application analyzes your on-chain behavior and data activity to generate a Web3 personality profile.

It’s both entertaining and insightful — a unique way to understand your digital identity.

Using AppsList applications also rewards you with points.

Every interaction contributes to your ecosystem accumulation.

Developers can also submit their own applications through the AppsList developer platform. Once approved, the app becomes available to all DataDID users and qualifies for ecosystem incentives.

👉 Enter AppsList:https://datadid.memolabs.net/

👉 Publish your app:https://datadid-developer.memolabs.net/

Step 5: SkillsList — Unlock More Possibilities for AI Agents

If you’re already using OpenClaw, SkillsList will take your experience to the next level.

SkillsList is a decentralized Skill plugin marketplace built specifically for OpenClaw on top of the DataDID architecture.

Here, users can browse and install Skill plugins that directly expand OpenClaw’s capabilities.

MEFS MCP Service

This is MEMO’s official decentralized storage Skill.

After installation, OpenClaw can permanently store:

• Conversation history
• Task outputs
• Knowledge base data

inside the MEMO decentralized network.

The data remains accessible anytime and doesn’t disappear when a session ends.

This gives AI Agents something critically important:

A true memory layer.

OpenClaw Skills

A growing collection of functional Skills already exists across areas such as:

• Data processing
• Content generation
• Automation tasks

allowing OpenClaw to continuously expand its abilities.

One particularly useful example is the datadid-checkin Skill.

After installation, you simply give OpenClaw a command, and both DataDID and AliveCheck daily check-ins are automatically completed for you.

Points are credited automatically — fully hands-free.

👉 Install here:https://skillhub.memolabs.net/q-hp-true/datadid-checkin

Developers can also upload their own Skills through the SkillsList developer platform. Revenue distribution is protected by smart contracts, preventing unilateral platform interference.

👉 Enter SkillsList:https://datadid.memolabs.net/

👉 Publish a Skill:https://datadid-developer.memolabs.net/

Step 6: Events and Tasks — Earn Both Points and Cash Rewards

Beyond daily check-ins and app usage, DataDID also offers advanced tasks and recurring ecosystem events.

These are among the fastest ways to accumulate points.

Completing tasks inside the platform can reward large amounts of points, while special campaigns often include direct USDT rewards.

Current Event: DataDID Mystery Box Carnival

📅 Event Period: April 24, 2026 — May 23, 2026

🎁 Prize Pool: $2,000 USDT
🏆 100% Win Rate

Rewards

• 🥇 First Prize: 300 USDT*1 (still unclaimed)
• 🥈 Second Prize: 200 USDT*2 (still unclaimed)

How to Participate

• Install the DataDID browser extension
  (First 10,000 users instantly receive 200 points)
• Register a DataDID account
  (Receive one exclusive mystery box draw)
• Invite friends
  (Each successful referral earns one additional draw opportunity — unlimited)

The top prizes are still waiting to be claimed.

👉 Join the event now:https://datadidapp.memolabs.net/

Conclusion: Every Step You Take Becomes Part of Your Accumulation

Let’s recap what you can do inside DataDID:

• Check in daily and accumulate points
• Install the extension and turn tweets into on-chain assets
• Use AppsList applications and continue earning
• Expand OpenClaw with Skills and unlock more AI capabilities
• Complete tasks and events for both points and cash rewards
• Publish apps or Skills as a developer and contribute directly to the ecosystem

DataDID is an ecosystem where every step forward becomes part of your accumulation.

Points are the most visible reward — but more importantly:

Every interaction helps build a truly personal on-chain data identity.

And over time, that identity becomes increasingly complete — and increasingly valuable.

Now is the best time to start.

👉 Register for DataDID:https://datadid.memolabs.net/

The story of DataDID isn’t finished yet.

Following the official launch of the AppsList marketplace, the next key piece of the DataDID ecosystem has arrived.

SkillsList — a decentralized Skill plugin platform built specifically for OpenClaw — is now live.

If AppsList opened up the world of applications, then SkillsList opens up the marketplace of capabilities.

What Is SkillsList?

Simply put, SkillsList is a platform for discovering, installing, and publishing Skill plugins, designed for both OpenClaw users and developers.

For users, you can freely browse a wide range of Skill plugins, find the capability modules that fit your needs, and install them with one click — instantly enhancing your OpenClaw. What your Agent can do is now entirely up to you.

👉 Get started: https://datadid.memolabs.net/

For developers, you can upload the Skills you’ve built to the developer platform. Once approved, they will be featured on SkillsList, giving you access to real OpenClaw users and allowing your work to generate real value.

👉 Publish your Skill: https://datadid-developer.memolabs.net/

But what truly sets SkillsList apart is this:

It’s built on DataDID — and is decentralized by design.

What Makes SkillsList Different?

1. Decentralized — Your Data Truly Belongs to You

On traditional Skill platforms, plugin data and user behavior data are stored on centralized servers. Platforms can remove plugins or ban accounts at any time. A developer’s work can disappear overnight, and user activity records can be deleted or sold without notice.

SkillsList is built on the MEMO decentralized network, with plugin data stored on-chain. No single party can interfere.

Your Skill is always there — permanently.

2. Unified DID Identity — Seamless Access

Your DataDID identity is your passport across the MEMO ecosystem.

There’s no need for additional registration when entering SkillsList. The Skills you install and the capabilities you use are all tied to your DID, enabling cross-application interoperability and unified management of identity and data.

3. Developer Ownership — Revenue Guaranteed

On SkillsList, the Skills you upload belong to you.

Revenue distribution is enforced by smart contracts. The platform cannot arbitrarily change revenue splits or remove your work.

Your creations are protected at the protocol level — not by platform policies.

This is the core promise SkillsList makes to every developer.

4. Deep Integration with the Points System

SkillsList is fully integrated with the DataDID points system.

Users earn points by installing and using Skills, while developers receive ecosystem incentives as their Skills gain adoption.

Every interaction generates real value, creating a positive feedback loop between users, developers, and the ecosystem.

5. Native Fit for AI Agents

SkillsList is designed around expanding OpenClaw’s AI Agent capabilities.

Each Skill plugin directly adds a new capability module to your Agent. Combined with MEMO’s native memory layer, MEFS, any data generated during Skill usage can be permanently stored and accessed at any time.

Your Agent doesn’t just use tools — it remembers context.

6. Seamless Integration with MEFS MCP

Skills in SkillsList can be used seamlessly with MEMO’s official MEFS MCP.

This means every Skill comes with built-in decentralized storage capabilities. Developers don’t need to build their own storage layer — they can directly leverage MEMO’s infrastructure.

What Does This Mean for Users?

In the past, what your Agent could do depended on what the platform allowed.

Now, what your Agent can do depends on what you choose to install.

SkillsList returns the power of capability selection back to users.

Need stronger data processing? Find it on SkillsList.
Want smarter content generation tools? Install them on SkillsList.

The limits of your Agent are now defined by you.

More importantly, early users will gain access to the full range of ecosystem benefits:

• Points incentives
• Ecosystem rewards
• Early access to high-quality Skills

These advantages belong to those who join early.

What Does This Mean for Developers?

If you’ve been looking for a truly developer-owned Skill distribution platform, SkillsList is your answer.

You don’t need to worry about shifting platform policies.
You don’t need to worry about your work being removed without reason.
You don’t need to build complex storage infrastructure yourself.

With MEFS MCP, your Skills come with built-in storage capabilities.
With DataDID’s user base, your application reaches real users.
With smart contracts, every dollar you earn is transparent and guaranteed.

You focus on building great Skills.
The MEMO ecosystem handles the rest.

What’s Next: Secure Your Position Early

SkillsList is now live and ready to explore.

Right now, there’s just one thing you need to do:

Register for DataDID and enter the ecosystem.

DataDID is your identity gateway into the entire MEMO ecosystem. Once registered, you can immediately install Skills or publish your own.

Developers can start submitting Skills today — once approved, they will be listed directly on SkillsList.

The DataDID ecosystem is being built layer by layer.

AppsList was the first step.
SkillsList is the second.

And this is just the beginning.

👉 Users: Browse & install Skills
https://datadid.memolabs.net/

👉 Developers: Publish your Skills
https://datadid-developer.memolabs.net/

There is a question that, after 30 years of the internet, is finally being taken seriously:

Who does data actually belong to?

This question has been set aside for so long not because there is no answer, but because the answer is inconvenient for too many parties. Platforms need data to sustain their business models, advertisers need data for precise targeting, and AI companies need data to train models. Across this entire value chain, the original creators of data — ordinary users — have always been at the very end, contributing the most while receiving the least.

But now, technological evolution is fundamentally changing this dynamic.

1. The 30-Year Data Paradox

The first era of the internet solved the problem of information distribution. Anyone could publish content and make it visible to the world. This was an unprecedented form of empowerment.

The second era of the internet solved the problem of connection. Social networks, e-commerce platforms, and search engines connected billions of people into a single network. Traffic became the most important resource, and attention became the scarcest commodity.

But in the process, something quietly happened: user data became systematically concentrated in the hands of a few platforms.

What you searched for, what you expressed on social media, what you purchased on e-commerce platforms — this data has been collected, analyzed, sold, used to train models, used to predict behavior, and used to influence decisions. And all of this usually happened without your knowledge, and without asking for your consent.

The deeper paradox is this: the value of data comes from its accumulation and circulation, yet in the current system, the benefits generated from that accumulation and circulation flow almost entirely to intermediary platforms, rather than to the original source of the data — the individual.

This is a systemic unfairness that has persisted for 30 years.

2. The AI Era Makes This Issue More Urgent

If over the past 30 years the data issue was background noise, the arrival of the AI era has made it a central issue that must be addressed head-on.

The reason is simple: AI’s demand for data is unprecedented.

The capabilities of large language models depend, to a large extent, on the quality and scale of their training data. Every article, every conversation, every accumulation of knowledge can become part of a model’s capabilities. This means that every digital trace left by humanity over decades now carries greater economic value than ever before.

At the same time, a structural contradiction has become more pronounced: data creates enormous value for AI, yet that value is captured by a small number of AI companies, with no mechanism for the original contributors of the data to share in that value.

Furthermore, as AI agents begin to act on behalf of humans — automatically completing tasks, executing transactions, and generating content — the questions of data origin, quality, and ownership become critically important. If the data used by an AI agent has unclear provenance or ownership, then its actions lack a trustworthy foundation.

The issue of data sovereignty has never been so closely tied to everyone’s real interests.

3. Three New Shifts Are Quietly Emerging

Over the past two years, discussions around data assetization have begun shifting from conceptual debates to infrastructure development. Three notable changes are emerging:

First, data is being viewed as an asset, not just a raw input.

In the past, data was defined as a production input — a raw material that drives economic activity. But the defining feature of raw materials is that once they are used, the value transfers to the user, and the original owner no longer benefits.

Now, with the maturation of blockchain technology, data is being redefined as an asset that can be owned, priced, and circulated repeatedly. The fundamental difference between an asset and a raw input is that ownership of an asset is persistent, and the value it generates can continuously flow back to its owner.

This shift in understanding is giving rise to entirely new models of the data economy.

Second, verifiability is becoming a core component of data value.

In an era flooded with AI-generated content, the value of a piece of data increasingly depends on whether it can be verified: where it comes from, whether it has been tampered with during circulation, and whether its usage history is clearly traceable.

Data without verifiability carries a high trust cost in high-value scenarios. Blockchain’s immutable records and timestamps naturally provide this verifiability, enabling a complete lifecycle record for each piece of data — from creation to circulation, with every step traceable.

Third, data ownership is shifting from platforms to individuals.

This trend is still in its early stages, but the signals are clear. Users are becoming aware of the value of their data, regulators are paying closer attention to data ownership, and technological tools are beginning to offer better support.

Real change will not come from platforms voluntarily giving up control — that is unrealistic. It will come from a redesign at the architectural level. When data storage, ownership, and circulation occur within on-chain protocols directly controlled by users, platforms lose the ability to unilaterally determine the fate of data.

4. Four Key Dimensions of Data Assetization

For data to truly become an asset rather than remain a concept, capabilities must be established across four dimensions:

Ownership: Data must have clear attribution.

The prerequisite for any asset is clear property rights. The first step in data assetization is to establish on-chain ownership records for each piece of data — who created it, when it was created, and what modifications it has undergone. This information must be permanently anchored in immutable infrastructure.

Only once ownership is established does everything else become meaningful. Data with unclear ownership cannot circulate in markets or generate returns for its original creator.

Circulation: Data needs a trusted marketplace.

After ownership is established, data must be able to circulate freely. This requires a transparent and efficient marketplace where buyers and sellers can discover each other, complete transactions, and settle through smart contracts.

However, there is a subtle balance: data circulation must occur while protecting privacy. Buyers need to verify the quality and provenance of data, but they do not necessarily need access to all raw information. This “usable but not visible” requirement is driving innovation in data trading models.

Revenue: The value generated by data should return to its creators.

This is the core proposition of data assetization. When your data is used — whether for AI training, research, or enterprise decision-making — you should receive corresponding returns.

This requires the automated execution capabilities of smart contracts. Each use of data can trigger a payment to the original creator, making the process automatic, transparent, and free of intermediaries.

Protection: Data assets require reliable security mechanisms.

Like any other type of asset, data assets need protection. This includes not only preventing hacking but also avoiding permanent loss due to unforeseen circumstances.

In this regard, decentralized storage offers greater reliability than centralized servers. Data is distributed across multiple nodes, eliminating single points of failure. At the same time, account recovery mechanisms are an essential part of the data asset security system.

5. The Historic Convergence of Two Technology Curves

The reason this moment represents a critical window for data assetization is that two technological trajectories — long evolving independently — are now converging in unprecedented ways.

One is the AI curve. AI is evolving from a tool into an agent, from answering questions to acting on behalf of humans. In this process, the demand for high-quality, traceable, and clearly owned data is growing exponentially.

The other is the blockchain curve. Blockchain is evolving from a carrier of speculative assets into infrastructure for identity, payments, permissions, and auditing. Its capabilities — immutable records, automated contracts, and decentralized trust — are exactly what data assetization requires.

The convergence of these two curves creates a new possibility: data can become a true asset, rather than just a passive production input.

6. The Evolution Path Over the Next Three Years

If this direction holds, the evolution path over the next three years is relatively clear:

Short term (1–2 years): ownership infrastructure matures first.

The first step in data assetization is to establish clear on-chain ownership records. Relevant standards, tools, and platforms will mature first, allowing users to easily turn their data into assets. This is the direction closest to real demand and with the least technical friction.

Medium term (2–3 years): data marketplaces become active.

As ownership infrastructure matures, data marketplaces will begin to see real activity. AI companies, research institutions, and enterprises will become the primary sources of demand, while individuals and organizations become the main suppliers. Pricing mechanisms will gradually emerge through market interaction.

Long term (3+ years): the data economy becomes a core part of the internet.

Once data ownership and trading become foundational capabilities, a complete data economy will gradually take shape. Users will no longer be just consumers of internet content, but participants in — and beneficiaries of — the data economy.

7. Conclusion: The Second Data Revolution

The first revolution of the internet solved the problem of information distribution. It allowed content to flow freely and gave everyone a voice.

The second data revolution will solve the problem of value ownership. Data will no longer exist merely as numbers on platform balance sheets, but will return to each real creator as an asset that can be owned, protected, traded, and monetized.

This revolution will not happen dramatically. It is quietly reshaping the logic of data ownership through the establishment of technical standards, the creation of data marketplaces, and the adoption of ownership tools.

When all of this becomes reality, one truth will be self-evident:

The data you create should work for you.

I. Big Announcement: DataDID Mystery Box Season Is Here!

In the Web3 era, data sovereignty returns to the individual. Every on-chain identity is your passport in the decentralized world.

DataDID is a decentralized identity (DID) platform built by MEMO, dedicated to giving every user true ownership of their Web3 digital identity and digital assets.

Today, we’re attaching a surprise gift package worth $2,000 USDT + massive points to your identity activation journey.

The DataDID Mystery Box Season is officially live.Register to draw, invite friends for unlimited chances — and 100% win rate, no empty boxes.

II. How to Play: Clear Participation Steps

Step 1: Complete registration and create your unique DID identity

No matter which platform you use to register your MEMO DataDID account, once you complete DID creation you instantly receive 1 exclusive Mystery Box draw:

● Web: Wallet registration → Complete DID creation

● H5: Email registration → Complete DID creation

● TG / Pi: First login and complete DID creation

The whole process takes under 5 minutes — no prior experience needed.

Step 2: Visit the website or install the plugin

👉 Web: https://datadidapp.memolabs.net/

👉 H5: https://datadid.memolabs.net/home

Install the DataDID browser extension and connect your wallet for the first time — instantly receive 1 exclusive Mystery Box draw.

Special bonus 🎁: The first 10,000 users to install the plugin and connect their wallet receive an extra 200 DataDID points on the spot.

👉https://chromewebstore.google.com/detail/datadid/mklejljmlgjnknaodkikbmcbpbmabdfo?hl=zh-CN&utm_source=ext_sidebar

Step 3: Share your exclusive referral code

This is the most exciting mechanic of the campaign.

Every time a new user installs the plugin and binds your referral code, you earn 1 additional Mystery Box draw — with no cap. In theory, the wider your network, the more draws you accumulate, and the higher your odds of winning a big prize.

In Web3, action is your competitive edge.

Your DID identity is waiting to be activated. Your Mystery Box is waiting to be opened.

III. Full Prize Breakdown: From 100 Points to 300 USDT

The Mystery Box prize pool is divided into two categories: USDT cash rewards and DataDID points rewards — 100% win rate guaranteed.

USDT Cash Rewards:

● 1st Prize: 300 USDT — 1 winner

● 2nd Prize: 200 USDT — 2 winners

● 3rd Prize: 100 USDT — 3 winners

● Lucky Prize: 20 USDT — 50 winners

Points Rewards:

● 1st Prize: 1,000 points — 300 winners

● 2nd Prize: 500 points — 3,000 winners

● 3rd Prize: 200 points — 60,000 winners

● Lucky Prize: 100 points — unlimited winners

Even if you haven’t referred anyone, simply log in and stay active daily — 100 points are waiting for you.

IV. Points Are More Than Points — They’re Tied to the $MEMO

There’s one thing worth emphasizing: the DataDID points you earn are far more than just a number.

MEMO is building an AI-powered decentralized data network with data sovereignty at its core, and points are the engine of value flow across the entire ecosystem. The DataDID points system serves as the recognition mechanism for early ecosystem contributors, and will directly influence future $MEMO airdrop allocations.

In other words: every point you earn today is a key credential for your future $MEMO airdrop.

How to Claim a Major Prize — USDT Winner Verification Process

To ensure prizes go to genuine community contributors, USDT winners must complete three verification steps:

1. Twitter interaction: Quote-retweet the official campaign post with hashtags #DataDID #MemoLabs

2. Screenshot proof: Attach a screenshot of your winning screen and your created DID in the tweet

3. DM confirmation: Message @MemoLabsOrg within 7 days to confirm your prize wallet address

The process is transparent and publicly verifiable.

Join now → https://datadidapp.memolabs.net/

Campaign dates: April 24 — May 23, 2026

Follow @MemoLabs for campaign updates and winner announcements.

Data is one of the most valuable resources of our time.

For over thirty years, the internet has operated on a simple, unchanging reality:

The data you generate every day — the content you write, the files you upload, every digital trace you leave behind — has always been working for someone else.

Platforms use it to train models.
Advertisers use it for precision targeting.
Companies use it to analyze markets.

This data creates enormous value — yet you’re rarely the one who benefits.
You’re simply the supplier of raw material.

We believe that’s fundamentally wrong.

That’s why we’re introducing the MEMO Data Asset Platform — built to change this paradigm.

This platform creates a complete data economy loop — from uploading and minting to management and trading — enabling every user to truly own, manage, and monetize their data.

From Data to Assets: A Complete Lifecycle

Upload & Mint

Once users upload their data to the platform, they can mint it into on-chain data assets using MEMO’s ERC-7829 Data Asset NFT Standard.

ERC-7829 is designed specifically for data assetization. It allows various types of digital content — including:

• Documents
• Images
• AI interaction records
• Datasets
• And more

to be packaged as verifiable, tradable, and transferable on-chain assets.

After minting, ownership of the data is permanently recorded on-chain — transparent, immutable, and verifiable.

From the moment your data is uploaded, it truly belongs to you.

Manage & Share

Once minted, your data assets are displayed in a unified management dashboard, where you can view and manage all of your assets with full flexibility.

If you’d like to share specific data with someone, you can grant access directly from the management page. You control:

• Who gets access
• What level of access they receive
• How long permissions remain active

The platform does not interfere with any authorization decisions.

If you’d prefer broader distribution, you can also list your data in the Data Marketplace, where users, enterprises, and AI developers can discover and purchase your data — generating ongoing returns.

Trade & Monetize

The Data Marketplace serves as the core engine of the platform.

Data assets listed in the marketplace can be freely traded. Transactions are settled through on-chain smart contracts, ensuring:

• Transparency
• Traceability
• Trustless settlement

Each time your data is traded, revenue automatically flows back to the original owner.

This creates a truly user-driven data economy:

• No middlemen
• No platform extraction
• No hidden fees

The value of data returns to the people who create it.

Your Dedicated DID: Identity Across the MEMO Ecosystem

Every user on the Data Asset Platform will receive a dedicated DID (Decentralized Identifier) fully integrated into the MEMO ecosystem.

This DID is more than just an account — it’s your unified identity across MEMO.

It connects:

• Your data assets
• Transaction history
• Permissions and authorizations
• Activity across the ecosystem

Whether you’re using the Data Asset Platform, DataDID, or other MEMO ecosystem products, everything is unified under one identity.

One identity. One ecosystem.

Domain Service: Your On-Chain Name

After registering your DID, you’ll also be able to apply for your own on-chain domain name.

Your domain will be bound to your DID, providing a more readable and recognizable identity across the MEMO ecosystem.

More domain-related features and utilities will be revealed following the official platform launch — stay tuned.

What Does the Data Asset Platform Mean?

In the past, discussions around data sovereignty were largely theoretical.

But data is fundamentally a form of creation.

When you write an article, compile a dataset, or document an experience, you invest time, knowledge, and creativity. These outputs deserve:

• Ownership
• Protection
• Liquidity
• Economic value

Now, the MEMO Data Asset Platform gives this vision a concrete form.

You can:

• Upload data
• Mint assets
• Manage permissions
• Enter the marketplace
• Earn revenue

Fully on-chain.
Fully transparent.
Fully under your control.

The era of the data economy is arriving.

And this time — you won’t just be an observer.

The platform is launching soon.
Stay tuned to official MEMO channels for more details.

DataDID just shipped its biggest update yet: a browser extension that brings daily check-ins, point collection, and on-chain data ownership directly into your everyday browsing.

This isn’t just a shortcut for signing in. It lets you check in, earn points, and permanently mint your tweets as on-chain data assets — all without ever leaving Twitter.

What the extension does

Feature 01

Check in from anywhere, earn points instantly

Once installed, you no longer need to open the DataDID web app to complete your daily check-in. Do it right from the browser toolbar and watch the points land in your account. Everything you can do on the web version is supported here — just faster and more seamless.

For existing DataDID users, this is the check-in button moving into your browser for good. No more tab-switching, no more forgetting.

Feature 02

Mint your tweets as data assets

This is the headline feature. After installing the DataDID extension, a Mint button appears at the bottom of your own tweets as you browse Twitter. Click it, and that tweet is cast onto the blockchain — permanently anchored, permanently yours.

This is powered by ERC-7829, a new NFT standard specifically designed for data assets. It lets you wrap all kinds of digital content — tweets, documents, AI chat logs, knowledge bases — into tradable, transferable on-chain assets. In plain terms: it gives your data ownership. Your content can be verified, priced, and exchanged.

Every tweet you’ve ever posted was traffic and data for the platform. With this extension, it becomes a digital asset with your name on it — one whose value you define and whose ownership you control.

Feature 03

GoData button — earn points just by tweeting

The extension adds a GoData button in two places on Twitter, so you can rack up DataDID points as a natural side-effect of using the platform.

In the tweet composer: A GoData button appears at the bottom of the tweet box. Click it, and the extension auto-generates a tweet related to the MEMO ecosystem. Confirm and post — points credited.

Below the reply box: The same button appears under any reply field. Click it, get a pre-written MEMO-related reply, send it, and earn more points.

This opens up a much broader funnel for accumulating points — beyond daily check-ins, every piece of content you share and every interaction you make can become a point-earning event. Early adopters can compound that advantage over time.

Why this matters

The DataDID browser extension turns the ecosystem from something you have to actively go use into something that’s woven into your daily routine.

You don’t have to change a single habit. Open Twitter, browse your feed, post content, reply to people — everything you already do, now simultaneously checking you in, earning you points, and minting your data.

More importantly, ERC-7829 gives all of this a deeper layer of meaning. The content you create on the internet is no longer just data that belongs to the platform. It becomes a verifiable, transferable, potentially monetizable digital asset.

In the near future, these data assets will be tradable on dedicated data asset marketplaces, creating tangible real-world value for their creators.

This is what Web3 data sovereignty actually looks like in practice — not in a whitepaper, but inside the browser you use every day.

How to install

Head to the DataDID Chrome Web Store listing, install the extension, and log in with your DataDID account. All features activate immediately.

Install the DataDID Browser Extension Get it on Chrome Web Store →

Recently, the hottest topic in the crypto space isn’t a massive token pump or a protocol hack, but a book.

Changpeng Zhao, widely known as CZ, wrote this book, Freedom of Money, by hand while in prison. There was no PR team polishing the text, no ghostwriter; he wrote it purely from memory on a prison computer that didn’t allow copy-pasting, forcing him to retype entire paragraphs.

Many people know CZ starting from the label of “founder of the world’s largest cryptocurrency exchange.” However, in this book, you will see a different CZ — a child who grew up on the muddy ground of a rural village, a teenager frying french fries at McDonald’s, and an entrepreneur who spent the most glorious years of his life relying on a bicycle and cheap T-shirts.

This person’s story is more real than any inspirational movie, and also more exciting than any inspirational movie.

Based on the book Freedom of Money, this article will take you through the true growth story of CZ.

Well Water, Kerosene Lamps, and the Day He First Saw an Electric Light

CZ was born in a rural village in Ganyu, Jiangsu province, to parents who were both teachers.

His childhood had no running water — the nearest well was 300 meters away, and his mother would make multiple trips every day carrying water with a shoulder pole to fill their water vat; the whole family relied on this water for drinking, cooking, and bathing. When bathing, each person could only use one bucket, making it almost impossible to bathe in the winter.

There was no electricity. For countless nights during his early elementary school years, he did his homework under a kerosene lamp. Later, the village got electricity, but it was only supplied for a few hours a day at irregular times, so the kerosene lamp remained his most reliable companion.

Eventually, a hand-pump water well was installed in the yard, and CZ looked at this simple machine, amazed that something so simple could draw out an endless supply of water. He said that the hand pump planted the seed of longing for technology in his heart.

Even later, an electric light bulb was hung up. His older sister told him it was invented by Edison. His thought at the time was: “How on earth did this guy come up with this?”

A child who grew up on muddy ground and studied by a kerosene lamp began to develop his initial curiosity about technology.

Age Twelve: Immigrating to Canada

In 1989, at the age of twelve, CZ immigrated to Vancouver, Canada, with his mother and sister to reunite with his father, who was studying for a Ph.D. at UBC.

Their first car upon arriving in Canada was a beat-up Datsun bought for $400 CAD that had been driven for over a decade and could break down at any moment. His father spent a full seven months of his income to buy him an x286 computer.

His mother’s English wasn’t good, so she went from being a math and history teacher to a seamstress in a garment factory, leaving home at 7 AM and returning at 7 PM every day. The family lived on coupons, and every Saturday, the whole family would drive that broken-down car from supermarket to supermarket to buy vegetables and fruits according to the coupons. It was only two years after coming to Canada that they went to Chinatown for the first time to eat noodles to celebrate his sister’s birthday.

CZ had no pocket money, nor did he ever ask for any. He said this was “something not even worth thinking about.”

The only exception was when he pestered his father in a supermarket to buy a $1.99 CAD toy airplane, crying for a long time before getting it. That was the only toy of his entire youth. From then on, he never asked for anything else.

Frying Fries, Night Shifts at the Gas Station, and Volleyball Refereeing

CZ started working at the age of fourteen at McDonald’s, earning $4.5 CAD an hour, which was below the minimum wage.

At fifteen, he worked as a dishwasher at an amusement park for $9 CAD an hour, which felt like a “career leap.”

At sixteen, he worked the night shift at a gas station, from 11 PM to 7 AM, earning $12 CAD an hour.

In the same year, he earned his volleyball referee certification, making $16 CAD an hour, driving between various schools to referee games. This was the first time he truly understood the meaning of the phrase, “If you love your job, you’ll never have to work a day in your life.”

He played volleyball for five years in middle school, serving as captain for four of them, and led a mini-team from a school with only about twenty boys in total to participate in the city tournament; relying on hard training and a refusal to lose, he won his first trophy in life — the city tournament MVP.

That team lost more than they won. But those years taught him for the first time how to lead a team and keep moving forward amidst failure.

Stuttering, Heartbreak, and “Incredibly Stupid” Lessons

Starting in ninth grade, CZ developed a severe stutter. The more crucial the occasion, the more he couldn’t speak. As the volleyball captain, when he needed to argue with the referee, he would often freeze up while the whole court stared at him, making the scene both awkward and comical.

Later, a school counselor helped him connect with a retired speech therapist who was willing to tutor him for free, and in just four weeks, his stutter was mostly cured. He said this is one of the people he will be forever grateful to.

In college, he had a failed relationship. He was in the habit of threatening his girlfriend with a “breakup,” escalating conflicts every time they argued. The kind-hearted girl lowered her head and apologized time after time, until one day, when he said “break up” again, she simply and calmly said, “Okay.”

He cried outside the computer lab. He said, “There was sadness from the breakup in those tears, but probably more of it was crying over how stupid and dramatic I had been.”

From then on, he stopped acting that way. He summarized two rules: First, be a kind, easy-to-get-along-with person; second, whether in an argument or a negotiation, never issue an ultimatum.

He continues to follow these two rules to this day, and they deeply influenced his later style of business negotiation.

Giving Up Biology to Major in Computer Science

When applying to colleges, CZ had no idea what he should study. On the advice of a friend’s mother, he chose to major in biology at McGill University.

Upon entering, he realized he hated biology. Dissecting animals and memorizing various Greek terminology was excruciating. However, his minor in computer science increasingly fascinated him — the creative joy brought by writing code was something the biology lab could not provide.

After one semester, he resolutely transferred to the computer science major.

He stated in his book that truly useful knowledge almost entirely came from intro CS courses — data structures and algorithms. Even when he later stopped writing code himself, this foundational knowledge helped him better understand engineers and accurately judge the technical difficulty of implementing a feature.

During his senior year of college, he participated in an AI robot soccer competition, using backpropagation neural networks to train AI to play soccer. The paper they wrote was accepted by the Association for the Advancement of Artificial Intelligence in 2000 and is still hosted on their website today.

He marveled that back then they used a small three-layer network with nine nodes, whereas the most advanced AI models today have reached a scale of trillions of nodes.

Summer Internships, Tokyo, and the Premonition of the “New Google”

During the summer of his junior year, CZ, introduced by his sister, interned at a Japanese IT company with a monthly salary of $2,000 CAD, which was the highest income of any job he had held before. The company also covered his accommodation — he quickly discovered that the cost of accommodation was much higher than his salary.

That period in Tokyo left a profound mark on his life. Later on, Binance briefly set up its Asian headquarters in Tokyo, which perhaps was related to this experience.

In 2013, CZ was exposed to Bitcoin for the first time. He sold his apartment and went all-in on Bitcoin. Subsequently, the price fell from $600 to $200. His assets shrank by two-thirds, yet he did not sell a single coin.

He said he simply felt at the time that this thing called Bitcoin was the right path.

Losing Ten Kilograms in Three Weeks, Then Becoming Number One in the World

On July 14, 2017, Binance went live.

On its launch day, the price of BNB kept falling, chat rooms were filled with curses, and some people directly “greeted” his ancestors. He wrote in the book that the pressure was “unprecedented” — tens of thousands of people had invested money because they trusted him, but now they were all losing money.

The entire office was brightly lit through the night as the team frantically iterated: API interfaces, zero trading fees, new tokens, mobile apps, nine languages… Every other day, he would host a live stream; people kept cursing in the comments, but he insisted on showing up.

He said: “CEOs of traditional companies might hide behind their PR teams and speak in corporate jargon. I feel that playbook is outdated. In the blockchain era, users need to feel your sincerity.”

When founding Binance, he lost ten kilograms in three weeks. Five months later, Binance became the world’s largest cryptocurrency exchange.

Cheap Amazon Clothes and the Toyota Minivan with Adjustable Seats

Even after becoming the CEO of the world’s largest exchange, CZ continued to wear cheap Amazon clothes and ride a bicycle to meetings. The most expensive “ride” he owned was a Toyota minivan with seats that could be adjusted to accommodate the two spinal surgeries he had undergone.

Journalists turned this into a joke to mock him, but he didn’t get angry.

He said: “The person they are praising, and the person they are attacking, are both someone they’ve imagined in their heads, so there’s no need to take it too seriously.”

He didn’t let it get to his head when people praised him like Jesus, nor did he collapse when people dragged him through the mud, and he didn’t feel entitled to a grand destiny when he was pardoned — he was on his way to a meeting to promote blockchain to the Kyrgyz government and was the last person to know about his own pardon.

Writing This Book in Prison

In 2023, CZ voluntarily flew to the United States to plead guilty and was sentenced to four months in prison. He stated in the book that his entire crime was that Binance served American users in its early days without registering in the U.S. — there was no fraud, no money laundering, no victims, and no users suffered losses.

In prison, using that computer that wouldn’t allow copy-pasting, he wrote the first draft of this book from memory. If he wanted to adjust a paragraph, he had to retype the whole thing, just like an old-fashioned typewriter.

After his release, President Trump pardoned him in October 2025.

Conclusion

From the muddy ground of a rural village to the world’s largest exchange, there are no magical talents or predestined opportunities in CZ’s story.

All there is: a child doing homework under a kerosene lamp, a teenager frying french fries at McDonald’s, a programmer betting his life savings on a new concept, and an entrepreneur who chose to stand up and carry the weight himself during the hardest times.

He has never been a god, nor a demon.

He is simply himself.

Building a Web3 application is no longer the hardest part; the real challenge lies in what comes next — securing users, establishing an identity framework, and creating incentive structures. For almost every Web3 developer, “cold starting” is the first major wall they hit.

The launch of the DataDID Developer Platform is designed to help you scale that wall.

What is Applist?

Applist is the application hub within the DataDID ecosystem. Here, DataDID users can discover, browse, and directly interact with a variety of Web3 applications.

The beauty of Applist is its native integration with the DataDID identity system — users don’t need to register new accounts; they simply log in using their existing DataDID identity.

Today, the developer portal for Applist is officially live. You can now submit your applications to the DataDID Developer Platform. Once approved by the MEMO official team, your app will be listed on Applist and opened to the entire DataDID user base.

Why Build on DataDID?

● Instant Access to Hundreds of Thousands of Real Users: DataDID has already amassed a massive registered user base that continues to grow daily. Once your app hits Applist, these users can find and use it immediately without you needing to spend resources on a cold start.

● Seamless Integration with DataDID Identity: Every DataDID user has their own on-chain identity. By integrating, you allow users to log in instantly via email verification or MetaMask — no new accounts or passwords required.

● Decentralized Storage via MEMO: Your application data can be integrated into the MEMO decentralized storage network. Data is distributed across multiple nodes, ensuring it is secure, reliable, and immune to tampering by any centralized entity.

● Integrated Incentive System: Users generate points through your app that are synchronized with the overall DataDID points system and ultimately linked to the $MEMO token. This incentive drives higher retention as users accumulate assets while using your application.

Getting Started: How to Upload Your App

The process is divided into two phases: Development Integration and Submission.

Phase 1: Development Integration

● Step 1: Register for Developer Permissions: Visit datadid.memolabs.net to create a DataDID account, verify your email, and bind your EVM wallet to gain developer access.

● Step 2: Install the SDK: DataDID offers SDKs for JavaScript, TypeScript, and Python. We recommend developing and debugging in the testnet environment first.

● Step 3: Integrate User Login: The SDK supports both email verification and MetaMask signature logins, managing user tokens automatically.

● Step 4: Create DIDs for Users: You can call the SDK to generate a unique on-chain Decentralized Identifier (DID) for users. This process is free for the user as the server covers the gas fees.

Phase 2: Submission and Listing

Once your app is ready and verified on the testnet, submit it for review via the developer dashboard. You will need to provide the app name, description, production URL, and a link to your privacy policy. After the MEMO team completes the audit, your app will officially appear on Applist.

Join Us Today

In Web3, the hardest part isn’t the build — it’s the start.

The DataDID Developer Platform has already prepared the user base, identity framework, storage, and incentive mechanisms for you. All you need to do is plug in.

A thriving ecosystem is growing, and we’re waiting for you to build it with us.

👉 Developer Portal:DataDID Developer Platform

April 1, 2026. April Fools’ Day.

When the Drift Protocol team issued their emergency announcement, the very first sentence read: “This is not an April Fools joke.”

That sentence alone said it all.

An Hour That Turned $300M into $41M

At 4:00 PM UTC, Drift’s vaults held $309 million. An hour later, only $41 million remained.

On-chain monitoring firms Lookonchain and PeckShield caught the anomaly almost simultaneously: a wallet created just eight days prior systematically began draining Drift’s core vaults. The first transfer alone was worth approximately $155.6 million in JLP tokens. Subsequently, the JLP Delta Neutral, SOL Super Staking, and BTC Super Staking vaults were drained dry, alongside USDC, SOL, cbBTC, wBTC, and even the Meme coin Fartcoin. In total, over 15 types of tokens worth roughly $285 million vanished within a single hour.

When the Drift team noticed the anomaly, they attempted to trigger an emergency freeze on the contracts — only to realize they couldn’t. The administrator keys had already been swapped by the attacker. The original owners were locked out of their own house.

The Getaway Route

The attacker’s exit strategy was textbook professional.

After siphoning the assets, they rapidly swapped various tokens for USDC via the Jupiter aggregator, then bridged them to Ethereum to heavily accumulate ETH. Simultaneously, another portion of SOL was sent directly to Binance and HyperLiquid. Multi-chain dispersion and multi-platform cash-outs — the entire process was so smooth it looked rehearsed.

Because it highly likely was rehearsed. The attacker’s wallet was created eight days before the strike and had executed small, probing transactions on OKX and Jupiter. This wasn’t a spur-of-the-moment heist; it was a thoroughly prepared operation.

Drift Is Not a Small Protocol

It’s worth contextualizing Drift’s scale.

Founded in 2021 by Cindy Leow and David Lu, it is the largest decentralized perpetual futures exchange in the Solana ecosystem. Polychain Capital previously led its $23.5 million Series A, bringing total funding to over $50 million. Prior to the incident, Drift boasted over $55 billion in cumulative trading volume, a Total Value Locked (TVL) surpassing $1 billion, and over 200,000 active traders.

Following the news, the DRIFT token plummeted by over 25%. This marks the largest security breach in the Solana ecosystem since the $325 million Wormhole bridge hack in 2022.

This Isn’t a Blockchain Problem

For many, the gut reaction is: Another DeFi hack, blockchain just isn’t secure. But in this incident, the blockchain itself didn’t fail at all.

Throughout the entire attack, the Solana network operated flawlessly. Every single transfer was faithfully recorded on-chain, entirely transparent and immutable. The blockchain did exactly what it was supposed to do — it even helped us completely reconstruct the attacker’s every operational step.

The real problem occurred off-chain.

Security firm PeckShield’s preliminary assessment points to a compromised admin private key. The attackers didn’t crack any smart contract logic, exploit any code vulnerabilities, or utilize flash loans or oracle manipulation. They simply got hold of a key — a master key capable of opening every single vault.

It’s akin to a bank where the vault doors are designed impeccably, but someone steals the master key. No matter how strong the door is, it’s useless. The flaw isn’t the door; it’s where the key was kept and who had access to it.

The Same Script, Played on Loop

Looking at Drift through a historical lens, this script is all too familiar.

In 2022, the Ronin Bridge lost $625 million due to a validator node private key leak. In February 2025, Bybit suffered a $1.4 billion breach, and Safe{Wallet}’s frontend was injected with malicious code — essentially another break in the key management chain. Now it’s Drift: same entry point, same ending.

These cases point to the exact same root cause: it’s not the code that’s flawed, but rather the safeguarding of the key that controls that code.

Specifically, several links in the chain demand questioning:

• Permission Design: A single admin private key controlling hundreds of millions of dollars is an inherently dangerous architecture. Multi-sig mechanisms, time-locks, tiered permissions — these tools exist, the question is whether they were utilized.
• Operational Security: Where was the private key stored? Who had access? Was there hardware isolation? These sound like basic questions, but it’s often the foundational links that fail.
• Emergency Response: When an attack happens, can the team freeze the contract and cut off losses in the first instance? Drift’s lesson is that once the admin keys are swapped, any emergency response is too late.

Code audits can catch logical flaws, but they can’t audit whether a key is left in a drawer or a safe. This is an operational and governance issue, not a technical one.

The Blockchain Provides the Foundation, But Humans Build the House

The Drift incident reiterates one thing: while blockchain technology provides a robust foundation of trust, ultimate security still relies on humans, code audits, permission design, and governance mechanisms.

The core value of blockchain is that no one can retroactively alter the ledger or forge records. This was fully demonstrated in this event — the attacker’s every step is clearly traceable, and the on-chain data is flawlessly accurate. But “transparent and traceable” is not the same as “unstealable.” The blockchain guarantees the authenticity of the records, but it cannot safeguard the key for you.

True decentralization shouldn’t just stop at the ledger level. If a protocol runs on a decentralized network, yet control is concentrated in a single private key, then that “decentralization” is merely a technical label, not a genuine security guarantee.

Drift’s failure is not Solana’s failure, it is not a smart contract failure, and it certainly isn’t a blockchain failure. It is a failure of humans utilizing this technology, breaking down at the most foundational link.

Technology is the foundation. What kind of house gets built is still decided by humans.