@EthanLevins2 Because the biggest mining factory in the world is selling…… after all the sanctions where do you think the mighty Iran gets budget from………
Scientists just figured out how to turn seawater into drinking water using sunlight.
No chemicals. No toxic waste. No energy grid required.
The leftover salt gets collected and buried inside that salt is lithium.
The same lithium that goes into every EV battery on the planet.
2.2 billion people don't have clean drinking water today.
This could change the math.
CHINESE CRYPTO TRADER POSTED A NEURAL NETWORK VISUALIZATION ON TIKTOK AND ACCIDENTALLY SHOWED THE SYSTEM MAKING HIS POLYMARKET TRADES FOR HIM IN REAL TIME
Blue connection lines everywhere, hidden layers stacked vertically, neurons firing across the screen and a tiny label in the middle that most people ignored on the first watch - “Bitcoin XVIII”.
He framed the video like a normal AI experiment. Virtual aquarium simulation. Reinforcement learning. “Teaching the network survival behavior.” That was the caption.
Pause at 0:16
The model was not learning fish behavior.
The labels inside the hidden layer matched live Bitcoin prediction markets almost perfectly - price windows, directional probabilities and volatility ranges mapped directly into the network nodes while the simulation kept running in the background.
Then people found the wallet.
$367,385 profit in 30 days. 1,988 predictions. Biggest single win: $183,000. Almost every active position tied to Bitcoin range markets with entry prices between 94 and 98 cents - exactly the kind of low volatility spreads an automated system farms continuously without human input.
The comments turned into a detective board within an hour. Someone slowed the TikTok to 0.25x, stitched together every visible frame of the neural network screen and started matching the hidden layer labels against the active Polymarket positions on the wallet.
The timing matched too closely.
While viewers thought they were watching an AI visualization, the model was quietly classifying live market conditions in the background and routing trades automatically into different probability buckets depending on short term BTC movement.
The TikTok got 11K views.
The repost showing the wallet crossed 600,000 overnight.
By morning people were already cloning the interface, rebuilding the network layout and trying to figure out why almost every position on the account sat between 96 and 99 cents with unusually high sizing.
The original creator deleted nothing.
The wallet is still active.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment Your thoughts .
2. Like and Retweet this post
3. Follow me @SharminNahar401
This is the most important AI article you'll read all year.
I've been deep in the AI space for 2+ years, and if I had to rebuild wealth from zero, this is exactly what I'd do.
Three distinct paths to making money with AI - all executable by anyone.
Don't scroll past this one:
Nvidia will now pay you to put a mini AI data center on your house
It looks like a normal AC unit in the yard.
But inside sits 16 Nvidia Blackwell GPUs and Dell servers.
A startup called Span builds them, backed by Nvidia.
They bolt onto your home and you get paid for the power and Wi-Fi.
Some estimates put that around $1,000 a month in your pocket.
That is rent money just for hosting a box outside.
Span says it deploys way faster and cheaper than a real data center.
The AI boom is literally moving into the suburbs.
Save this, the grid is getting rebuilt in real time.
If you make your first $10,000 in crypto
- Convert it all to USDC
- Stake it on different DeFi protocols
- Earn a free $400-$800 every month
- Reinvest the profits and repeat
You can retire in a few years doing this…
"The richest 0.001% don't wear luxury."
Yes they do. You're just too poor to know what these brands are.
Forget Dior. Forget Louis Vuitton.
Old money wears quiet luxury.
Here are six brands that billionaires, world-leaders, and royalty actually wear:
Okay, it's finally here.
If you're looking for some fair-launch community-run fun chain, this is it.
Cookie basically has like 90% of the people that made Gorbagana Gorbagana. The way you knew it and liked.
I'm helping Cookie with bridging, this part is on me.
Let's cook.
Meet ReelRush.
Trending social reels, surfaced before they peak. Mint a token on the moment, powered by @MeteoraAG on Solana. Lowest bonding curve on the market.
CA:
EvKFvTQcSESeUPRpcBf8WKAYC4a1Er3jAQRYmTCi46x3
https://t.co/Jzivl0xGQU
Claude Code x TradingView is the best AI trading quant of all time.
Gone are the days of AI slop market analysis - AI is now better at technical analysis than you.
Here's how you can turn Claude Code into your expert trading quant (in <5 minutes):
Step 1. Ensure you have these requirements:
• Claude Code - installed on your computer (this is what talks to TradingView)
• Node.js 18+ - installed on your computer (the MCP server runs on this)
• TradingView Desktop app - downloaded from https://t.co/1YkJpaCU8L
• A valid TradingView subscription (paid plan for real-time data)
Step 2. Open Claude Code and run the following prompt to connect the TradingView MCP:
"Install the TradingView MCP server. Clone and explore https://t.co/k1Ql1o0CYi, run npm install, add to my MCP config at ~/.claude/.mcp.json, and launch TradingView with the debug port."
Step 3. Health check
Restart Claude Code, and paste this prompt:
"Use tv_health_check to confirm TradingView is connected."
If correctly connected, Claude Code should respond with a confirmation.
Step 4. Start prompting
Claude Code now has access to your ENTIRE TradingView environment
Your charts, your technical analysis, alerts - everything.
Use this prompt to turn Claude Code into your personal market analyst:
"Act as an elite quantitative trader and technical analyst with full access to my TradingView environment.
Analyze the current market structure for [ASSET] on the following timeframes: 5m, 15m, 1H, 4H, 1D.
Use my existing indicators, drawings, and chart context to:
Identify the current trend and market regime (trending, ranging, accumulation, distribution)
Mark key support and resistance levels based on price action and liquidity
Identify liquidity pools, stop clusters, and likely areas of manipulation
Analyze momentum using RSI, MACD, and volume where available
Detect any chart patterns (breakouts, consolidations, deviations, etc.)
Evaluate confluence across timeframes
Then provide:
A clear directional bias (bullish, bearish, neutral)
The highest probability trade setup right now
Exact entry, stop loss, and take profit levels
Risk-to-reward ratio
Invalidation point (what would prove this analysis wrong)
Finally:
Explain your reasoning step-by-step in plain English.
Avoid generic statements. Be decisive.
If no high-quality setup exists, explicitly say “no trade” and explain why."
This is an EXTREMELY powerful setup - make sure to save this post so you don't forget it.