Jane Street, one of the richest and most secretive firms in the world, paid him between $330,000 and $600,000 a year, and in just a couple of months he built an AI system that runs TRILLIONS of operations per second
"we just hired a kid... and he turned out to be a supercomputer in a human body" is what they're whispering now at Jane Street
a math genius who pushed supercomputers to their limit. now Wall Street's quant traders are in shock
in this hour-long lecture he breaks down how to use his machine to process trillions of data points
bookmark it right now and watch it instead of reels to learn how to do the same ↓
Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
🚨NEW: THIEL-BACKED $1 BILLION STARTUP WILL PUT AI DATA CENTERS IN THE OCEAN
Panthalassa, a startup backed by Peter Thiel is developing floating platforms designed to host future AI data centre infrastructure at sea.
Its planned Ocean-3 system will use ocean waves for power and seawater for cooling, potentially eliminating the need for land, power grids, and traditional data center infrastructure.
Google CEO, Sundar Pichai:
"If you don't learn to how to orchestrate agents now, you'll spend 2027 catching up to people who started today"
In 30 minutes he explains why the best engineers stopped writing code and started building agents.
Most people think building an agent requires an engineering degree.
It doesn't. It requires one guide and one afternoon.
Watch the interview, then save the exact setup below 👇
A man spends 50 years teaching at MIT.
He knows his time is running out.
So he records one last lecture — everything he knows, distilled into a single hour.
He died 5 months later.
This is that lecture.
The most important hour you'll watch this week. 👇
Bookmark it for later
Under the directives of the President of the UAE, we launch a new government model. Within two years, 50% of government sectors, services, and operations will run on Agentic AI, making the UAE the first government globally to operate at this scale through autonomous systems.
AI is no longer a tool. It analyses, decides, executes, and improves in real time. It will become our executive partner to enhance services, accelerate decisions, and raise efficiency.
This transformation has a clear timeline. Two years. Performance across government will be measured by speed of adoption, quality of implementation, and mastery of AI in redesigning government work.
We are investing in our people. Every federal employee will be trained to master AI, building one of the world’s strongest capabilities in AI-driven government.
Implementation will be overseen by Sheikh Mansour bin Zayed, with a dedicated taskforce chaired by Mohammad Al Gergawi driving execution.
The world is changing. Technology is accelerating. Our principle remains constant. People come first. Our goal is a government that is faster, more responsive, and more impactful.
Here is a video of a North Korean IT worker being stopped dead in their tracks upon being required to insult Kim Jong Un.
It won't work forever, but right now it's genuinely an effective filter. I'm yet to come across one who can say it.
BREAKING: 🇺🇸 COINBASE JUST ANNOUNCED IT WILL LAUNCH CRYPTO-BACKED MORTGAGES FOR OVER 100,000,000 AMERICANS.
BUY AND OWN A HOUSE WITHOUT SELLING YOUR CRYPTO.
THIS IS MASSIVE 🤯
🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
@volvocars I need urgent help. My Volvo XC90 from 2023 lost its right front wheel at low speed after school pickup in Amstelveen. Thankfully not at 100 km/h. 6+ weeks later: no repair. I need Volvo to take ownership of the process.
The Best Indicator in the World!
The Williams %R created by Larry Williams.
Full Breakdown - Chart Setup - Tutorial 👇
YT Video: https://t.co/wCVFiYeCpO
I made $22,400 last month copy-trading a bot that simulates BTC 10,000 times before every trade.
Same setup a Hong Kong marketer used to make $360K in 30 days.
I've prepared the exact step-by-step guide to make this Bot.
I could've sold this for $999. Giving it free for 24 hours.
To get it:
1. Comment "Money"
2. Like and Retweet
3. Follow me @codewithimanshu (Only then, i can DM you)
The system:
> Claude = the algorithm's brain
> MiroFish = the simulation engine
> 10,000 cycles run before every single trade
> $5,000-$15,000 profit per position
His wallet hit $366K. Mine hit $22.4K in 30 days copying him.
He's not predicting the market.
He's running 10,000 versions of the future before the market moves.
You're picking trades on vibes.
He's running Monte Carlo simulations while you sleep.
You Must Follow me @codewithimanshu, so i can send you DM.
ShadowBroker is a real-time OSINT dashboard that tracks everything on one map.
- Aircraft, ships, and satellites
- Earthquakes and conflict zones
- CCTV networks and GPS jamming
- Breaking geopolitical events
All live. All open source.
The world has never been this visible to anyone with a browser.
github- https://t.co/RNPdRvoVG2
karpathy just broke the internet with something called auto research
it’s basically an ai research agent that runs experiments for you 24/7
you give it a goal like
“make this model better”
“find a higher converting landing page”
“lower customer acquisition cost”
then it runs a loop:
1) plan an experiment
2) edit the code or config
3) run a short test on a gpu
4) read the metrics
5) keep the winner
6) try again
over and over
while you sleep
by the morning you wake up to the best version
actual tested improvements
think of it like a robot research intern that runs hundreds of experiments and only keeps the winners
this is link to his repo https://t.co/hm9aFyXQZS for your to mess around with it
in the latest episode of @startupideaspod
i break down:
• what auto research actually is
• how it works step by step
• 10 business ideas you can build with it
• how to install it and start using it
this one is saucy
because tools like this change how startups get built
watch
🚨 BREAKING… this Claude bot has been quietly printing $200K on Polymarket and nobody noticed until now.
This is not a theory. Not a backtest. Not a copy of someone else’s setup.
This is a live system with a live wallet and $201,406 in realized profit.
Profile - https://t.co/1Ehzg6H1Kd
Copytrade - https://t.co/sPyFzneClW
I pulled every position. Broke down the logic. Here’s what’s actually running.
No news feeds
No directional conviction
No human touching the keyboard
Just Claude, wired directly into Polymarket, cycling through 5-minute BTC windows 24 hours a day
FULL strategy breakdown:
5-minute BTC micro-arbitrage
1. The bot targets ultra-short Bitcoin contracts on 5-minute cycles. YES + NO pricing occasionally dips below $1.00 - Claude closes that gap instantly. No forecast. No opinion. Just execution.
Speed is the only thing that matters
2. Manual traders don’t lose because they’re wrong. They lose because they’re slow. By the time you see the setup, Claude has already entered, exited, and moved to the next one.
Volume compounds everything
3. No single trade is impressive. But 20,810 trades at thin margins, running nonstop without fatigue - that’s how $201,406 gets built.
Top trades:
— BTC Down · Jan 2, 3:15AM → +$5,550 · +106.74%
— BTC Down · Feb 1, 10:30PM → +$5,387 · +136.49%
— BTC Down · Feb 4, 7:15AM → +$4,607 · +111.72%
The automation war on Polymarket is already here.
While you’re reading this - the bot just ran another cycle.
FOLLOW if you want signal, not noise.
My dad bet me $100 I couldn't make money on Polymarket without predicting a single outcome...
I didn't predict anything. I just found two markets that move together - but one is 4 minutes late.
Last month: +$22,400. He still owes me the $100.
Polymarket has 500+ active markets. Most traders pick one and guess. I don't guess. I measure.
Two markets. Same underlying event. Different prices. One reacts to news in 90 seconds. The other takes 6 minutes.
That gap is pure math:
ρ(X,Y) = Σ(xᵢ - x̄)(yᵢ - ȳ) / √[Σ(xᵢ - x̄)² · Σ(yᵢ - ȳ)²]
Pearson correlation. When ρ > 0.85 - they move together. But "together" doesn't mean "at the same time."
Cross-correlation at lag k tells you how many minutes one trails the other:
R_xy(k) = Σ X(t) · Y(t+k)
I'm use for copytrade bots: https://t.co/cfD16Z57mJ
I found 14 pairs with ρ > 0.87 and lag between 2–11 minutes. The slow market hasn't repriced yet. The fast one already moved.
You buy the slow one before it catches up.
Z-score tells you when the spread is stretched enough to trade:
z = (spread - μ) / σ
|z| > 2.0 - entry. |z| < 0.5 - exit. Mean reversion does the work.
14 pairs monitored 24/7
Entry only when |z| > 2.0
Average hold time: 23 minutes
Max drawdown: 3.1%
+$22,400 in 31 days. Starting capital: $500.
My roommate asked me to explain the math.
I wrote the full breakdown - Pearson correlation, cross-correlation lag detection, Z-score entries, Kelly sizing, and the 3 pairs that printed the most.
I asked ChatGPT to find the most profitable wallet on the platform.
It said it can’t access live blockchain data.
So I asked Claude.Claude wrote a Python script in 4 minutes.
The script scanned 200,000 wallets, ranked them by ROI, and filtered those active in the last 30 days.
The top result made me close my laptop and go for a walk.
RN1
$5,317,622 profit
36,298 predictions
Active since December 2024
Wallet →https://t.co/pQpz3Nm00j
Copy trades →https://t.co/IPY41UFgnZ
I didn’t believe the number.
So I ran the script again.
Same result.
$5.3 million in profit in 14 months.
Across almost every sport imaginable.
Counter-Strike
NFL
Tennis
Bundesliga
Serie A
Premier League
One example:
Counter-Strike
TheMongolz vs B8
Profit: $158,533
In total:
36,298 bets
Every sport
Every league
Over 624,000 people already watching the wallet.
Then I did something stupid.
I asked Claude to reverse engineer the strategy.
Claude analyzed 200 positions and came back with one sentence:
“This wallet buys mathematically mispriced underdogs across markets where the crowd overvalues favorites.”
No insider info.
No special access.
Just probability vs market bias.
So I asked:
“Can you build a bot that does this?”
Claude replied:
“I can write the logic. You need the API key and capital.”
14 lines of Python.
One prompt.
One afternoon.
I still haven’t deployed it.
Just staring at the code.
And at $5.3 million.
The wallet doesn’t care about teams.
Doesn’t watch games.
Doesn’t read news.
It simply finds where 36 cents should be 65 cents.
And buys.
So I asked Claude one last question:
“What’s stopping everyone from doing this?”
Claude answered:
“Nothing. They just haven’t asked.”
SOMEONE OPEN-SOURCED THE WORLD'S LARGEST PROMPT LIBRARY WITH 152K GITHUB STARS
> browse by category or AI search
> copy expert "Act as..." prompts
> paste into ChatGPT/Claude/Gemini/Llama/Mistral
> get god-tier results instantly
GitHub: https://t.co/dxPh7UJOgr