John Siem Reap
I’m John, Binance Angel from Cambodia 🇰🇭
Active in trading, P2P, Web3 farming & community building.
Притежател на BNB
Чест трейдър
8.4 години
149 Следвани
2.8K+ Последователи
2.6K+ Харесано
117 Споделено
Публикации
Всички
Оферти
Видеа
На живо
PINNED
How I Built My Own AI Assistant With OpenClaw : A Step-by-Step Guide From Ubuntu VM to Live Telegram
What if you could build your own AI assistant that runs on your machine, connects to Telegram, and helps with crypto research, content creation, and community support?
That’s exactly what I tested with OpenClaw.
Instead of using AI only through a normal chat app, I wanted to build something more useful: a real assistant that could live in its own environment, stay organized, and eventually grow into a serious workflow tool for Binance Square content, crypto education, and automation.
In this guide, I’ll show you:
• what OpenClaw is
• why I chose a VMware Ubuntu setup
• the difference between local machine vs VM vs VPS
• and the exact steps I used to get a live Telegram AI bot working
If you want to go from AI user to AI builder, this is a great place to start.
What Is OpenClaw?
OpenClaw is an AI assistant framework that helps you build your own assistant and connect it to real tools, workflows, and chat channels.
Instead of only chatting with AI, OpenClaw lets you create something more structured, such as:
• a Telegram AI bot
• a Discord assistant
• a crypto research copilot
• a content workflow assistant
• a community support bot
• a future skill-powered Binance assistant
What makes OpenClaw interesting is that it’s not just about responses. It’s about building a real assistant environment that you control.
Use cases for OpenClaw
Here are some practical examples:
• Crypto Education Assistant
Explain Bitcoin, wallets, Binance products, risk management, and beginner learning paths.
• Content Assistant
Draft Binance Square posts, Telegram content, educational threads, and campaign ideas.
• Community Copilot
Help answer questions, onboard users, and support crypto communities.
• Research Workflow Tool
Collect ideas, organize notes, and turn research into useful output.
For creators and operators, OpenClaw can become part of a real workflow system.
Local Machine vs VM vs VPS
Before building, I had one key question:
Where should I run my assistant?
1) Local machine
This means installing OpenClaw directly on your laptop or desktop user account.
Best for:
• fast testing
• learning
• simple experiments
Pros:
• easy to start
• no extra cost
• good for quick development
Cons:
• stops when your machine sleeps or shuts down
• less clean if mixed with your daily environment
2) VMware / Virtual Machine
This means creating a dedicated Ubuntu environment inside your computer.
Best for:
• cleaner local development
• safer testing
• learning a server-style workflow
Pros:
• isolated setup
• easier to organize
• closer to a real deployment environment
• great for snapshots and rollback
Cons:
• still depends on your computer being on
• uses more system resources than direct local install
3) VPS
A VPS is best when you want your assistant to be online all the time.
Best for:
• production bots
• 24/7 automation
• long-term public use
Pros:
• always online
• stable
• easier to scale later
Cons:
• monthly cost
• more maintenance and security work
My recommendation
The smartest path for most people is:
Start local or in a VM → learn the setup → move to VPS later
That’s why I used Ubuntu Server inside VMware first. It gave me a clean environment without going straight into full production hosting.
👉My Build Setup👀
Here’s the setup I used:
• Host machine: Windows
• Virtualization: VMware
• Guest OS: Ubuntu Server 24.04
• VM spec: 4 vCPU, 8 GB RAM, 80 GB disk
• Network: bridged
• Goal: OpenClaw + Telegram bot
• Use case: build a real AI assistant environment for future crypto education and content workflows
Step 1: Install Ubuntu Server in VMware
I created a new VM with:
• 4 cores
• 8 GB RAM
• 80 GB disk
• Ubuntu Server 24.04
During install, I chose:
• Use entire disk
• LVM enabled
• OpenSSH server enabled
• skipped optional package bundles
Step 2: Update the system
After logging into Ubuntu, I updated the packages:
sudo apt update
sudo apt upgrade -y
sudo apt install -y curl git build-essential tmux
This prepares the VM for the rest of the setup.
Step 3: Connect with SSH from Windows
Typing directly inside the VMware console was inconvenient, so I switched to SSH from Windows.
First, I found the VM IP:
ip a
Then from Windows PowerShell:
ssh yourusername@YOUR-VM-IP
That made copy/paste much easier and instantly improved the workflow.
Step 4: Install Node.js with nvm
Then I installed nvm and used it to install Node 24:
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh | bash
source ~/.bashrc
nvm install 24
nvm use 24
nvm alias default 24
node -v
npm -v
Once Node and npm were working, the environment was ready for OpenClaw.
Step 5: Install OpenClaw
Next, I installed OpenClaw globally:
npm install -g openclaw
Then I checked it:
openclaw --help
openclaw status
At this point, OpenClaw was installed, but the gateway was not fully configured yet.
Step 6: Install and start the gateway
To get the service running:
openclaw gateway install
openclaw gateway start
openclaw gateway status
At first, I hit a problem: the gateway service existed, but the actual gateway process was not listening correctly.
So I checked logs and found the cause.
Step 7: Fix the gateway issue
The main issue was:
Gateway start blocked: set gateway.mode=local
So I fixed it with:
openclaw config set gateway.mode local
openclaw gateway restart
openclaw gateway status
After that, the gateway was healthy and listening correctly.
This was the turning point. Once the gateway was live, the assistant environment became real.
Step 8: Configure model and channels
Then I ran:
openclaw configure
Inside setup, I configured:
• the workspace
• the model
• the Telegram channel
For the model, I selected:
• openai-codex/gpt-5.4
For Telegram, I used a bot token created through @BotFather.
Step 9: Create and connect the Telegram bot
To configure Telegram, I first created a bot with @BotFather and copied the token.
Inside OpenClaw setup, I selected:
• Channels
• Configure/link
• Telegram (Bot API)
• Enter Telegram bot token
After saving that config, the bot was ready for pairing.
Step 10: Pair the Telegram account
When I sent a message to the bot, OpenClaw gave me a pairing code. Then I approved it in the VM:
openclaw pairing approve telegram YOURCODE
After that, I sent another message in Telegram, and the bot replied successfully.
That was the real “it works” moment.
😍The Result😎
I tested the bot again from another network, and it still worked perfectly.
That proved something important:
This was no longer just a local experiment.
It was now a real working AI assistant setup.
And that opens the door to much bigger use cases:
• crypto education bot
• Binance Square content assistant
• Telegram community helper
• research copilot
• workflow automation tool
Why This Matters for Creators
For creators, the value isn’t just “having AI.”
The real value is building a system that helps you:
• move faster
• stay consistent
• organize ideas
• reply smarter
• turn research into content
• support your audience across platforms
A setup like this can evolve into:
• a Binance learning assistant
• a content drafting copilot
• a community operations assistant
• a crypto workflow system
That’s why I think this matters: once you see your own AI assistant working live, your mindset changes from consumer to builder.
Lessons I Learned
A few practical lessons from this build:
• VMware is a great local lab
• SSH makes setup much easier
• OpenClaw installation is straightforward
• the gateway config matters a lot
• Telegram pairing is simple once the core setup is healthy
• testing from another network is a great confidence check
If I improve this setup later, my next steps would be:
• rotate the bot token
• clean up the Node/gateway environment for long-term stability
• shape the assistant’s identity and prompts
• add future skills and workflow automation
Final Takeaway
If you want to build your own AI assistant, you do not need to start with a perfect cloud setup.
Start with what you have:
• your computer
• a VM
• Ubuntu
• Telegram
• one practical goal
That’s enough to build something real.
And once your assistant replies live for the first time, you’ll understand why this is more than just a tech experiment. It’s the beginning of your own AI infrastructure.
🤯If you’ve been thinking about building your own AI assistant, my advice is simple:
👉Start now. Start small. Build one working version.
Try it in a VM, connect Telegram, and get your first live assistant online. After that, you can improve, expand, and eventually move to a VPS for a full production setup.
If you want, I can also share a follow-up guide on:
• how to improve the assistant’s identity
• how to move from VM to VPS
• how to turn it into a crypto content and research copilot
🙏If you build your own version, share your result in the comments — I’d love to see it.
If this was useful, repost it to help more people start building with AI. And tell me what you want next: VPS deployment, Telegram workflows, prompt design, or Binance skill integration?
#OPENCLAW #AIAssistant #BuildWithYou
$BTC
$ETH
$BNB
That’s exactly what I tested with OpenClaw.
Instead of using AI only through a normal chat app, I wanted to build something more useful: a real assistant that could live in its own environment, stay organized, and eventually grow into a serious workflow tool for Binance Square content, crypto education, and automation.
In this guide, I’ll show you:
• what OpenClaw is
• why I chose a VMware Ubuntu setup
• the difference between local machine vs VM vs VPS
• and the exact steps I used to get a live Telegram AI bot working
If you want to go from AI user to AI builder, this is a great place to start.
What Is OpenClaw?
OpenClaw is an AI assistant framework that helps you build your own assistant and connect it to real tools, workflows, and chat channels.
Instead of only chatting with AI, OpenClaw lets you create something more structured, such as:
• a Telegram AI bot
• a Discord assistant
• a crypto research copilot
• a content workflow assistant
• a community support bot
• a future skill-powered Binance assistant
What makes OpenClaw interesting is that it’s not just about responses. It’s about building a real assistant environment that you control.
Use cases for OpenClaw
Here are some practical examples:
• Crypto Education Assistant
Explain Bitcoin, wallets, Binance products, risk management, and beginner learning paths.
• Content Assistant
Draft Binance Square posts, Telegram content, educational threads, and campaign ideas.
• Community Copilot
Help answer questions, onboard users, and support crypto communities.
• Research Workflow Tool
Collect ideas, organize notes, and turn research into useful output.
For creators and operators, OpenClaw can become part of a real workflow system.
Local Machine vs VM vs VPS
Before building, I had one key question:
Where should I run my assistant?
1) Local machine
This means installing OpenClaw directly on your laptop or desktop user account.
Best for:
• fast testing
• learning
• simple experiments
Pros:
• easy to start
• no extra cost
• good for quick development
Cons:
• stops when your machine sleeps or shuts down
• less clean if mixed with your daily environment
2) VMware / Virtual Machine
This means creating a dedicated Ubuntu environment inside your computer.
Best for:
• cleaner local development
• safer testing
• learning a server-style workflow
Pros:
• isolated setup
• easier to organize
• closer to a real deployment environment
• great for snapshots and rollback
Cons:
• still depends on your computer being on
• uses more system resources than direct local install
3) VPS
A VPS is best when you want your assistant to be online all the time.
Best for:
• production bots
• 24/7 automation
• long-term public use
Pros:
• always online
• stable
• easier to scale later
Cons:
• monthly cost
• more maintenance and security work
My recommendation
The smartest path for most people is:
Start local or in a VM → learn the setup → move to VPS later
That’s why I used Ubuntu Server inside VMware first. It gave me a clean environment without going straight into full production hosting.
👉My Build Setup👀
Here’s the setup I used:
• Host machine: Windows
• Virtualization: VMware
• Guest OS: Ubuntu Server 24.04
• VM spec: 4 vCPU, 8 GB RAM, 80 GB disk
• Network: bridged
• Goal: OpenClaw + Telegram bot
• Use case: build a real AI assistant environment for future crypto education and content workflows
Step 1: Install Ubuntu Server in VMware
I created a new VM with:
• 4 cores
• 8 GB RAM
• 80 GB disk
• Ubuntu Server 24.04
During install, I chose:
• Use entire disk
• LVM enabled
• OpenSSH server enabled
• skipped optional package bundles
Step 2: Update the system
After logging into Ubuntu, I updated the packages:
sudo apt update
sudo apt upgrade -y
sudo apt install -y curl git build-essential tmux
This prepares the VM for the rest of the setup.
Step 3: Connect with SSH from Windows
Typing directly inside the VMware console was inconvenient, so I switched to SSH from Windows.
First, I found the VM IP:
ip a
Then from Windows PowerShell:
ssh yourusername@YOUR-VM-IP
That made copy/paste much easier and instantly improved the workflow.
Step 4: Install Node.js with nvm
Then I installed nvm and used it to install Node 24:
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh | bash
source ~/.bashrc
nvm install 24
nvm use 24
nvm alias default 24
node -v
npm -v
Once Node and npm were working, the environment was ready for OpenClaw.
Step 5: Install OpenClaw
Next, I installed OpenClaw globally:
npm install -g openclaw
Then I checked it:
openclaw --help
openclaw status
At this point, OpenClaw was installed, but the gateway was not fully configured yet.
Step 6: Install and start the gateway
To get the service running:
openclaw gateway install
openclaw gateway start
openclaw gateway status
At first, I hit a problem: the gateway service existed, but the actual gateway process was not listening correctly.
So I checked logs and found the cause.
Step 7: Fix the gateway issue
The main issue was:
Gateway start blocked: set gateway.mode=local
So I fixed it with:
openclaw config set gateway.mode local
openclaw gateway restart
openclaw gateway status
After that, the gateway was healthy and listening correctly.
This was the turning point. Once the gateway was live, the assistant environment became real.
Step 8: Configure model and channels
Then I ran:
openclaw configure
Inside setup, I configured:
• the workspace
• the model
• the Telegram channel
For the model, I selected:
• openai-codex/gpt-5.4
For Telegram, I used a bot token created through @BotFather.
Step 9: Create and connect the Telegram bot
To configure Telegram, I first created a bot with @BotFather and copied the token.
Inside OpenClaw setup, I selected:
• Channels
• Configure/link
• Telegram (Bot API)
• Enter Telegram bot token
After saving that config, the bot was ready for pairing.
Step 10: Pair the Telegram account
When I sent a message to the bot, OpenClaw gave me a pairing code. Then I approved it in the VM:
openclaw pairing approve telegram YOURCODE
After that, I sent another message in Telegram, and the bot replied successfully.
That was the real “it works” moment.
😍The Result😎
I tested the bot again from another network, and it still worked perfectly.
That proved something important:
This was no longer just a local experiment.
It was now a real working AI assistant setup.
And that opens the door to much bigger use cases:
• crypto education bot
• Binance Square content assistant
• Telegram community helper
• research copilot
• workflow automation tool
Why This Matters for Creators
For creators, the value isn’t just “having AI.”
The real value is building a system that helps you:
• move faster
• stay consistent
• organize ideas
• reply smarter
• turn research into content
• support your audience across platforms
A setup like this can evolve into:
• a Binance learning assistant
• a content drafting copilot
• a community operations assistant
• a crypto workflow system
That’s why I think this matters: once you see your own AI assistant working live, your mindset changes from consumer to builder.
Lessons I Learned
A few practical lessons from this build:
• VMware is a great local lab
• SSH makes setup much easier
• OpenClaw installation is straightforward
• the gateway config matters a lot
• Telegram pairing is simple once the core setup is healthy
• testing from another network is a great confidence check
If I improve this setup later, my next steps would be:
• rotate the bot token
• clean up the Node/gateway environment for long-term stability
• shape the assistant’s identity and prompts
• add future skills and workflow automation
Final Takeaway
If you want to build your own AI assistant, you do not need to start with a perfect cloud setup.
Start with what you have:
• your computer
• a VM
• Ubuntu
• Telegram
• one practical goal
That’s enough to build something real.
And once your assistant replies live for the first time, you’ll understand why this is more than just a tech experiment. It’s the beginning of your own AI infrastructure.
🤯If you’ve been thinking about building your own AI assistant, my advice is simple:
👉Start now. Start small. Build one working version.
Try it in a VM, connect Telegram, and get your first live assistant online. After that, you can improve, expand, and eventually move to a VPS for a full production setup.
If you want, I can also share a follow-up guide on:
• how to improve the assistant’s identity
• how to move from VM to VPS
• how to turn it into a crypto content and research copilot
🙏If you build your own version, share your result in the comments — I’d love to see it.
If this was useful, repost it to help more people start building with AI. And tell me what you want next: VPS deployment, Telegram workflows, prompt design, or Binance skill integration?
#OPENCLAW #AIAssistant #BuildWithYou
$BTC
$ETH
$BNB
My simple takeaway on Binance AI Pro beta:
The future of crypto AI is not just smarter answers.
It’s faster execution with better context.
The best AI tools won’t replace traders.
They’ll help traders:
- think clearer
- analyze faster
- act with more structure
That’s why products like this matter.
Less fragmentation. More execution.
#Binance #BinanceAIPro #CryptoAI #Execution
The future of crypto AI is not just smarter answers.
It’s faster execution with better context.
The best AI tools won’t replace traders.
They’ll help traders:
- think clearer
- analyze faster
- act with more structure
That’s why products like this matter.
Less fragmentation. More execution.
#Binance #BinanceAIPro #CryptoAI #Execution
After using Binance AI Pro beta, here’s what stands out most:
- better prompts = better insight
- strong models make analysis noticeably sharper
- research is more useful when it connects directly to execution
- AI works best as a trading copilot, not a replacement
For me, that’s the key value of the product.
It reduces friction between: asking -> understanding -> acting
That workflow advantage is where the edge starts to appear.
#Binance #BinanceAIPro #Trading #AI
- better prompts = better insight
- strong models make analysis noticeably sharper
- research is more useful when it connects directly to execution
- AI works best as a trading copilot, not a replacement
For me, that’s the key value of the product.
It reduces friction between: asking -> understanding -> acting
That workflow advantage is where the edge starts to appear.
#Binance #BinanceAIPro #Trading #AI
Binance AI Pro beta is one of the most practical AI product experiments I’ve used in crypto so far.
What makes it interesting is not just "AI gives answers."
It brings research + execution into one workflow.
That matters because most traders don’t lose time from lack of information. They lose time from switching between tools, overthinking, and delaying action.
AI doesn’t trade for you. It trades with you.
That’s the real product shift.
#Binance #BinanceAIPro #AI #Crypto
What makes it interesting is not just "AI gives answers."
It brings research + execution into one workflow.
That matters because most traders don’t lose time from lack of information. They lose time from switching between tools, overthinking, and delaying action.
AI doesn’t trade for you. It trades with you.
That’s the real product shift.
#Binance #BinanceAIPro #AI #Crypto
Warm night, calm mind.
Crypto moves fast, but strong builders know when to pause, learn, and come back sharper the next day. Every chart, every cycle, and every lesson adds up over time.
Rest well tonight, protect your energy, and keep building with patience. The journey is long, and consistency always matters more than noise. 🌙
#Crypto #BinanceSquare #KeepBuilding $BTC $BNB $ETH
Crypto moves fast, but strong builders know when to pause, learn, and come back sharper the next day. Every chart, every cycle, and every lesson adds up over time.
Rest well tonight, protect your energy, and keep building with patience. The journey is long, and consistency always matters more than noise. 🌙
#Crypto #BinanceSquare #KeepBuilding $BTC $BNB $ETH
OpenClaw is insane...it can complete a whole day of work matter just minutes.
The evolution is so so amazing.
#OPENCLAW
The evolution is so so amazing.
#OPENCLAW
Most Binance P2P problems happen because beginners rush.
Here are some of the most common mistakes:
- Releasing crypto before confirming payment
- Trusting screenshots instead of checking account balance
- Moving the conversation outside Binance
- Ignoring trader completion rate or history
- Choosing speed over safety
Many scams work because people feel pressure to act quickly.
A better approach:
- slow down
- verify payment properly
- use trusted merchants when possible
- follow Binance P2P rules step by step
Simple takeaway:
Speed can cost money. In P2P, careful verification is more important than rushing the trade.
$USDT $BNB $XRP
Here are some of the most common mistakes:
- Releasing crypto before confirming payment
- Trusting screenshots instead of checking account balance
- Moving the conversation outside Binance
- Ignoring trader completion rate or history
- Choosing speed over safety
Many scams work because people feel pressure to act quickly.
A better approach:
- slow down
- verify payment properly
- use trusted merchants when possible
- follow Binance P2P rules step by step
Simple takeaway:
Speed can cost money. In P2P, careful verification is more important than rushing the trade.
$USDT $BNB $XRP
One of the most important beginner concepts in Binance P2P is escrow.
If you do not understand escrow, you do not fully understand how P2P stays safer.
Here’s the simple version:
- When a seller opens a trade, the crypto is locked
- The buyer sends payment through the agreed method
- Once payment is confirmed, the seller releases the crypto
- If there is a dispute, Binance can review the case
Escrow helps reduce the risk of one side disappearing after the trade starts.
But beginners still need to be careful:
- always follow the platform process
- do not move outside the official chat/trade flow
- confirm details carefully before releasing funds
Simple takeaway:
Escrow is one of the key safety layers in Binance P2P, but good user behavior still matters.
$BNB $USDT $ETH
If you do not understand escrow, you do not fully understand how P2P stays safer.
Here’s the simple version:
- When a seller opens a trade, the crypto is locked
- The buyer sends payment through the agreed method
- Once payment is confirmed, the seller releases the crypto
- If there is a dispute, Binance can review the case
Escrow helps reduce the risk of one side disappearing after the trade starts.
But beginners still need to be careful:
- always follow the platform process
- do not move outside the official chat/trade flow
- confirm details carefully before releasing funds
Simple takeaway:
Escrow is one of the key safety layers in Binance P2P, but good user behavior still matters.
$BNB $USDT $ETH
Why is USDT sometimes more expensive on Binance P2P?
Many beginners think USDT should always stay exactly at $1. But on P2P, the price can move higher or lower depending on market conditions.
Why?
- Local demand changes quickly
- Seller supply may be limited
- Fiat currency pressure affects pricing
- Payment method convenience can create premiums
- Market fear often increases stablecoin demand
That means when USDT trades above $1 in your local market, it usually reflects supply and demand, not a failure of USDT itself.
Simple takeaway:
On P2P, USDT price often reflects local liquidity and buyer demand more than the global peg.
$USDT $BTC $FDUSD
Many beginners think USDT should always stay exactly at $1. But on P2P, the price can move higher or lower depending on market conditions.
Why?
- Local demand changes quickly
- Seller supply may be limited
- Fiat currency pressure affects pricing
- Payment method convenience can create premiums
- Market fear often increases stablecoin demand
That means when USDT trades above $1 in your local market, it usually reflects supply and demand, not a failure of USDT itself.
Simple takeaway:
On P2P, USDT price often reflects local liquidity and buyer demand more than the global peg.
$USDT $BTC $FDUSD
Why does USDT sometimes rise above $1?
USDT is designed to stay close to $1, but in real market conditions, especially in P2P and local fiat markets, it can sometimes trade above that level.
This usually happens because of strong demand, not because USDT itself changed.
Here are the main reasons:
- More people want USDT quickly
During uncertain market conditions, many users move into stablecoins for safety.
- Seller supply is limited
If there are fewer USDT sellers in local markets, buyers may need to pay a premium.
- Local currency pressure
When confidence in local fiat weakens, demand for dollar-based assets like USDT can increase.
- Market volatility
In fast-moving conditions, traders often prefer stablecoins to reduce risk temporarily.
- Liquidity imbalance
If buying demand is stronger than available supply, USDT may trade above its normal peg in that market.
So when USDT goes above $1, it often reflects local demand, liquidity conditions, and market sentiment more than the stablecoin’s core value.
Simple takeaway:
A USDT premium is usually a sign that more people want stablecoin liquidity than the market can currently supply at $1.
#USDT #Stablecoin #BinanceP2P #CryptoEducation #BinanceSquare
USDT is designed to stay close to $1, but in real market conditions, especially in P2P and local fiat markets, it can sometimes trade above that level.
This usually happens because of strong demand, not because USDT itself changed.
Here are the main reasons:
- More people want USDT quickly
During uncertain market conditions, many users move into stablecoins for safety.
- Seller supply is limited
If there are fewer USDT sellers in local markets, buyers may need to pay a premium.
- Local currency pressure
When confidence in local fiat weakens, demand for dollar-based assets like USDT can increase.
- Market volatility
In fast-moving conditions, traders often prefer stablecoins to reduce risk temporarily.
- Liquidity imbalance
If buying demand is stronger than available supply, USDT may trade above its normal peg in that market.
So when USDT goes above $1, it often reflects local demand, liquidity conditions, and market sentiment more than the stablecoin’s core value.
Simple takeaway:
A USDT premium is usually a sign that more people want stablecoin liquidity than the market can currently supply at $1.
#USDT #Stablecoin #BinanceP2P #CryptoEducation #BinanceSquare
Since 2021, this is the first time of p2p history that people who sell USDT in profit...
$USDT
Why this happen?
Iran vs US/Israel is hot right now. Middle east is in the high alert why?
Oil - Strait of Hormoz alone carry 20% of world oil supply chain. And now closed.
Current situation is not released since Iran is still threatening Gulf countries, if US do something wrong to their resource plants. It will destroy water supply in the Gulf. This is huge.
People can live with oil price up, people could survive food for days. But how about water? That's critical.
I really wish that not to happen, but who know? Consequences of any war are far more than imagine.
Stay safe and be prayed!
🚀😭
$USDT
Why this happen?
Iran vs US/Israel is hot right now. Middle east is in the high alert why?
Oil - Strait of Hormoz alone carry 20% of world oil supply chain. And now closed.
Current situation is not released since Iran is still threatening Gulf countries, if US do something wrong to their resource plants. It will destroy water supply in the Gulf. This is huge.
People can live with oil price up, people could survive food for days. But how about water? That's critical.
I really wish that not to happen, but who know? Consequences of any war are far more than imagine.
Stay safe and be prayed!
🚀😭
Save the date!
M in
M in
Binance Square Official
·
--
Join us tomorrow for an AMA with Xin Yan, CEO of @SignOfficial 👀
📅 March 24 | ⏰ 13:00 UTC
✨ 22,000 SIGN in total rewards
🎮 Ending with a new community game show "Crypto Showdown"!
Join us live and ask questions. Stay tuned!
📅 March 24 | ⏰ 13:00 UTC
✨ 22,000 SIGN in total rewards
🎮 Ending with a new community game show "Crypto Showdown"!
Join us live and ask questions. Stay tuned!
👽Three Ways to Collaborate with AI🚀
To get the most value from AI, don’t just use it for one-time tasks like writing emails or quick ideas. Instead, treat it like a partner. Have a conversation, share ideas, and improve your work step by step with AI.
But remember: you are still in control. AI can give suggestions and different viewpoints, but you decide what works best for your goal.
This approach can help you work better and create higher-quality results.
1. AI helps you understand information
AI can break down complicated topics into simple parts, highlight key points, and show connections you might miss.
For example, you can ask AI to summarize industry trends when preparing a project proposal.
2. AI helps you create new ideas
AI can act as a creative partner. It can help you write content, create visuals, explain data, or suggest different ways to express ideas.
For example, you can use AI to draft the first version of your proposal.
3. AI helps you improve your work
AI can review your work, check for mistakes, and suggest ways to make it clearer or more persuasive.
For example, it can review your sales pitch and point out confusing parts.
⭐The key takeaway
Using AI is not just about saving time. It helps you think better, create with more confidence, and improve your work until it’s your best version.
Start using AI as a partner, not just a tool. Have ongoing conversations instead of asking only once. And always guide the process with your own knowledge and judgment.
💥Important reminder
Use AI responsibly. Never share sensitive information like credit card details or personal data.
Before using AI, ask yourself: “Is this information private and should I keep it confidential?”
#Aİ #collaboration
$AIA
$AIN
$AI
To get the most value from AI, don’t just use it for one-time tasks like writing emails or quick ideas. Instead, treat it like a partner. Have a conversation, share ideas, and improve your work step by step with AI.
But remember: you are still in control. AI can give suggestions and different viewpoints, but you decide what works best for your goal.
This approach can help you work better and create higher-quality results.
1. AI helps you understand information
AI can break down complicated topics into simple parts, highlight key points, and show connections you might miss.
For example, you can ask AI to summarize industry trends when preparing a project proposal.
2. AI helps you create new ideas
AI can act as a creative partner. It can help you write content, create visuals, explain data, or suggest different ways to express ideas.
For example, you can use AI to draft the first version of your proposal.
3. AI helps you improve your work
AI can review your work, check for mistakes, and suggest ways to make it clearer or more persuasive.
For example, it can review your sales pitch and point out confusing parts.
⭐The key takeaway
Using AI is not just about saving time. It helps you think better, create with more confidence, and improve your work until it’s your best version.
Start using AI as a partner, not just a tool. Have ongoing conversations instead of asking only once. And always guide the process with your own knowledge and judgment.
💥Important reminder
Use AI responsibly. Never share sensitive information like credit card details or personal data.
Before using AI, ask yourself: “Is this information private and should I keep it confidential?”
#Aİ #collaboration
$AIA
$AIN
$AI
Watch Maya, the vice president of strategy, operation and outreach at Google Research!
#Aİ
#Aİ
Take care, always stay up-to-date your Binance app, ios a must.
#safu
#safu
CZ
·
--
Make sure your iOS devices are up-to-date. Stay SAFU.
Google Threat Intelligence Group (GTIG) has identified a new iOS full-chain exploit that leveraged multiple zero-day vulnerabilities to fully compromise devices. Based on toolmarks in recovered payloads, we believe the exploit chain to be called DarkSword. Since at least November 2025, GTIG has observed multiple commercial surveillance vendors and suspected state-sponsored actors utilizing DarkSword in distinct campaigns. These threat actors have deployed the exploit chain against targets in Saudi Arabia, Turkey, Malaysia, and Ukraine.
Google Threat Intelligence Group (GTIG) has identified a new iOS full-chain exploit that leveraged multiple zero-day vulnerabilities to fully compromise devices. Based on toolmarks in recovered payloads, we believe the exploit chain to be called DarkSword. Since at least November 2025, GTIG has observed multiple commercial surveillance vendors and suspected state-sponsored actors utilizing DarkSword in distinct campaigns. These threat actors have deployed the exploit chain against targets in Saudi Arabia, Turkey, Malaysia, and Ukraine.
John Siem Reap
·
--
Someone just accidently drop 1.54 $SOL
{spot}(SOLUSDT)
to my testnet wallet....
{spot}(SOLUSDT)
to my testnet wallet....
Save the date!
Binance Square Official
·
--
Don't miss a live exclusive with Benjamin Cowen – on Binance Square, March 20.
Founder of Into The Cryptoverse, Ben is one of the most rigorous data-driven voices in crypto. He'll break down the mathematics behind crypto cycles, his probabilistic framework, and why 2026 is playing out exactly as his models suggested.
This is Episode 1 of Inside the Blockchain 100 – Binance's flagship series on the people shaping crypto.
📅 March 20 ⏱ 14:00 UTC
📺 Live on Binance Square
🎙 Hosted by Karin, Binance Square
Set a reminder. You don't want to miss this one.
Tune in here.
Founder of Into The Cryptoverse, Ben is one of the most rigorous data-driven voices in crypto. He'll break down the mathematics behind crypto cycles, his probabilistic framework, and why 2026 is playing out exactly as his models suggested.
This is Episode 1 of Inside the Blockchain 100 – Binance's flagship series on the people shaping crypto.
📅 March 20 ⏱ 14:00 UTC
📺 Live on Binance Square
🎙 Hosted by Karin, Binance Square
Set a reminder. You don't want to miss this one.
Tune in here.
The Always-On Economy: Binance Leads the 24/7 Trading Era
🌍 The Big Idea: 24/7 Global Markets Are Coming
Traditional finance (stocks, forex) operates in limited hoursCrypto introduced non-stop 24/7 tradingNow, this model is expanding into TradFi via perpetual futures
⚡ Why This Matters
Markets no longer sleep → more opportunities anytimeGlobal users can trade without time zone limitsFaster reaction to news, events, and volatility
📈 Key Trend: TradFi Perpetual Futures
Combines:Crypto-style perpetual trading (no expiry)Traditional assets (stocks, indices, forex)
Enables continuous exposure to real-world markets
🧠 Binance’s Role
Leading the shift toward a unified financial systemBuilding infrastructure where:Crypto + TradFi mergeTrading becomes seamless in one placeMoving toward a “Super App” for finance
🚀 The Future Vision
One platform for:TradingPaymentsInvestingFinancial servicesBorderless, always-on economyUsers get full control, flexibility, and speed
👉 24/7 Global Market
#Binance #24x7Markets #crypto
$XAU
$XAG
$BTC
Traditional finance (stocks, forex) operates in limited hoursCrypto introduced non-stop 24/7 tradingNow, this model is expanding into TradFi via perpetual futures
⚡ Why This Matters
Markets no longer sleep → more opportunities anytimeGlobal users can trade without time zone limitsFaster reaction to news, events, and volatility
📈 Key Trend: TradFi Perpetual Futures
Combines:Crypto-style perpetual trading (no expiry)Traditional assets (stocks, indices, forex)
Enables continuous exposure to real-world markets
🧠 Binance’s Role
Leading the shift toward a unified financial systemBuilding infrastructure where:Crypto + TradFi mergeTrading becomes seamless in one placeMoving toward a “Super App” for finance
🚀 The Future Vision
One platform for:TradingPaymentsInvestingFinancial servicesBorderless, always-on economyUsers get full control, flexibility, and speed
👉 24/7 Global Market
#Binance #24x7Markets #crypto
$XAU
$XAG
$BTC
AI Meets Crypto:Trading Smarter, Building Faster with Binance AI Skill
Binance AI Skills are a massive upgrade for anyone in crypto 🚀
We’re entering a new era where AI helps you catch trends early, analyze smarter, and scale faster. From daily life tasks to trading and portfolio management, AI reduces stress and saves time—especially for those with busy schedules.
With tools like wallet analysis, trading signals, and automated content publishing, we’re no longer just users… we’re builders in the new AI-powered world.
Personally, one of the biggest game changers for me is the Binance Square Skill — now my content can go live even while I’m sleeping.
That’s next-level consistency and engagement 🔥
⚠️ But remember:
Never trust AI 100%. Always verify sources, double-check data, and stay in control.
👉 If you’re serious about growing in crypto, it’s time to start using AI as your advantage—not your replacement.
Are you already using Binance AI Skills? Or still exploring? 👇
Binance Skill Hub
#BuildWithBinanceAI
Binance AI Skills are a massive upgrade for anyone in crypto 🚀
We’re entering a new era where AI helps you catch trends early, analyze smarter, and scale faster. From daily life tasks to trading and portfolio management, AI reduces stress and saves time—especially for those with busy schedules.
With tools like wallet analysis, trading signals, and automated content publishing, we’re no longer just users… we’re builders in the new AI-powered world.
Personally, one of the biggest game changers for me is the Binance Square Skill — now my content can go live even while I’m sleeping.
That’s next-level consistency and engagement 🔥
⚠️ But remember:
Never trust AI 100%. Always verify sources, double-check data, and stay in control.
👉 If you’re serious about growing in crypto, it’s time to start using AI as your advantage—not your replacement.
Are you already using Binance AI Skills? Or still exploring? 👇
Binance Skill Hub
#BuildWithBinanceAI
Влезте, за да разгледате още съдържание