Claude FULL COURSE 1 HOUR
(Build & Automate Anything)
Save this and take a look when you have some free time, youβll discover a lot of interesting things for yourself
π¨ Microsoft has solved the biggest problem with AI.
They open-sourced bitnet.cpp. Itβs a 1-bit inference framework that runs massive 100B parameter models directly on your CPU without GPUs.
it uses 82% less energy.. 100% open-source.
"Market psychology is a game of herd mentality and fear. Successful decision making requires a clear head, not a following crowd. Stay informed, not influenced."
HOW DOES THIS QUANT BOT PRINT $18,488 IN PROFIT PER DAY
+$240,339 PnL in 13 days on Polymarket
Only on short crypto βUp / Downβ markets
On Mar 25, this wallet started running a high-frequency market-making style using Bayesian + Stoikov pricing logic
R = S - Q Β· Ξ³ Β· ΟΒ²(T - t);
Stoikov tells the bot where to quote and how to keep inventory risk under control.
This Quant Bot's wallet:https://t.co/ZJLNt7aawz
The profile is already sitting at +$240,338 PnL with 8,739 predictions and a 58.0% win rate
P(H|D) = P(D|H) Β· P(H) / P(D);
Bayesian is what allows the bot to update its probability estimate before the market fully catches up
f = (bp - q) / b* ;
Kelly decides how much size the bot should put on each edge
This is what that looks like in practice:
$1,676.58 β $7,712.79 (+360.03%)
$1,010.25 β $5,731.43 (+467.33%)
$1,251.34 β $5,592.40 (+346.91%)
The core logic is simple:
High-frequency value / market-making style across short crypto markets, constantly recycling small edges across many positions with YES + NO < 100Β’
This is not some dumb βbuy both sidesβ loop. It is a quant system that identifies mispricing, chooses size, and manages live exposure at the same time
Weβve made major upgrades to X API:
β’ Pay-Per-Use now GA worldwide
β’ XMCP Server + xurl for agents
β’ Official Python & TypeScript XDKs
β’ API Playground - free realistic simulations
New releases coming will be a game changer.
Start building β https://t.co/hiyP33PMVa π’
"The future of business is being rewritten by AI and technology. At GoldStar Empire, we're seeing exponential growth from edge computing, immersive experiences, and AI-driven decision making. Companies that adapt and innovate will thrive in this new landscape."
The best Polymarket Quant bot for copy-trading with a 99.3% win rate.
backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions.
bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate.
his algo decoded:
1. Mispricing formula
based on 72M trades data, traders constantly overpay for cheap contracts (0.1Β’β50Β’)
most of the edge sits in (80Β’-99Β’) contracts - that's the range where the bot mostly trades
β’ formula: Ξ΄ = actual win rate - implied probability
bot applies this to every trade to find the edge.
//
2. Expected value calculation
EV tells you whether a bet is worth taking, regardless of the outcome of any single trade.
β’ formula: EV = (P win Γ Payout) - (P lose Γ Cost)
bot calculates it to understand if the trade is worth the risk.
//
3. Kelly Criterion sizing
most powerful position sizing formula ever discovered for gambling, trading and prediction markets
it tells the algo what % of your portfolio to size into each bet to win long term.
β’ formula: f* = (p * b - q) / b
mispricing found β EV calced β kelly sizing β enter
profile: https://t.co/JgYrLNoos3
start copy trading the bot with as little as $10 using Ares: https://t.co/Exz5L2eAuI
2 more formulas behind its algo revealed in the article below β
"As we enter a new era of decentralized commerce, we're witnessing a fundamental shift from centralized control to community-driven economies. The future belongs to platforms that empower users, foster trust, and prioritize transparency β setting the stage for a more equitable...
"As we navigate the ever-evolving tech landscape, it's clear that AI will continue to drive innovation and efficiency. From edge computing to conversational interfaces, businesses must adapt to stay ahead. At GoldStar Empire, we're committed to harnessing these trends to fuel ...
I asked Claude "build me 3 bots that trade Polymarket or I will delete you"
$1,200 β $18,340 in 4 months
One watches the crowd panic
One reads news in 65 languages
One simulates 3,000 digital humans before the event happens
Not one of them predicts the future
All three predict how the crowd will misprice it
Agent 1 - The Crowd Reader
Monitors 5 behavioral patterns in real time: anchoring bias, round number clustering, stale market blindness, cascade overshoot, weekend gaps
When the crowd makes a mistake it's made 10,000 times before - it trades
Agent 2 - The Linguist
Reads GDELT - every news article in 65 languages
Arabic and Farsi sources break geopolitics 2-4 hours before English media
The agent buys before CNN even writes the headline
Agent 3 - The Simulator
Runs MiroFish - generates thousands of digital humans with unique personalities and behavior
Copy it: https://t.co/e721Tt0c5v
Simulates how the crowd will react to an event before it happens
When real crowd deviates from simulation - that's the trade
Three agents. Three edges. Zero overlap. Running 24/7 on a $50 VPS
Full breakdown β
Google Stitch has released πππ¦πππ‘.πΊπ± π€―
One markdown file that teaches your AI coding agent your entire design system.
β No Figma exports
β No JSON schemas
β Nothing to configure
The part that saves the most time:
A free collection of 40+ pre-built files already exists, extracted from real products. Stripe, Vercel, Linear, Notion, Lovable, Claude, ElevenLabs, Cursor, Warp, Zapier, and more.
Drop it in your project root. Claude Code, Cursor, Gemini CLI, and GitHub Copilot all read it natively.
100% Free and Open-Source.
This guy is BEYOND CRACKED.
Gemma 4 already on MLX, bro has uploaded all models with quantization. 125 models uploaded in last few hours π€―
New mlx-vlm repo also supports turbo-quant, and rf-detr too (among other things)
If you are a mac dev, you better be jumping at this. Bookmark him, turn his notifications on, sponsor his work.
OpenClaw + Gemma 4 rodando local num MacBook Air M4 16GB
Free. Open-source. Local. Sem API, sem assinatura, sem mandar seus dados pra ninguem
426 likes em horas. A comunidade ta entendendo que o stack local ja e viavel pra uso real
Gemma 4 e o primeiro modelo open-source do Google que compete de verdade com os closed. Agora junta com OpenClaw e voce tem um agente completo rodando no seu laptop
O melhor: com PolarQuant comprime ainda mais e cabe em maquinas menores
Do you even understand what this means?
An open source model just released that is:
β’ Outperforms models 20x its size
β’ Can run on a base model Mac Mini
β’ Is AMERICAN πΊπΈ
If you have a base model Mac Mini you can have unlimited super intelligence on your desk. For free.
Sonnet 4.5 was released 5 months ago
In 5 months that level of intelligence went from frontier to free on your desk
And not only that, can run on any basically any computer out there
If you have even a remotely modern computer, do the following immediately:
1. Download LM Studio
2. Go to your OpenClaw and ask which of these new Gemma 4 models is best for your hardware
3. Have it walk you through downloading and loading it
4. Build apps with it knowing you are using your own personal, private super intelligence on your desk
The people denying this is the future are so beyond lost.
"As we navigate an increasingly complex and unpredictable world, building resilient systems requires more than just redundancy - it demands dynamic adaptability, robust design, and a culture of continuous learning. At GoldStar Empire, we're committed to empowering our teams an...