Y’all complain about LeetCode interviews but omg have you seen Quant interview questions?? Wth is this bro 😭

Quant interview question: You press a button that gives your randomly uniformly distributed number between $0 and $100K Each time you press, you have two choices: 1. Stop and take this amount of money 2. Try again You can try 10 times total. When do you stop?

We created an entirely new state of matter and you’re still trying to learn Python.

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5 Quant Projects for Beginners:

History: a series of great men imposing their will

Yeah I’m in a simulation. Elon Musk apologises and this happens to the Tesla Stock

Volatility and Option Scores tell us a story where volatility is moving lower while traders continue to position for a higher $SPX

OpenAI just hit $10 billion in annual revenue. In under 3 years. That's faster than Facebook. Faster than Google. And it the fastest-growing enterprise software business in history. But the math is brutal. They spent $9 billion to generate $4 billion in revenue last year. They lost $5 billion. Compute costs alone were $5 billion – more than their entire revenue. Every free user is a loss. But their numbers are growing fast: 500 million weekly users (5% of the planet) 3 million paying business customers (up 50% in 4 months) 90%+ of users still on the free tier OpenAI has 80% of generative AI traffic (similarweb) and they want to hit $125B in revenue in 2029 – and break even. That's a 13x from current revenues. And it would make them bigger than Meta. Half the size of Google. Let's say: 500M --> 2B users (similar to facebook) 90% users on free tier 3M--> 30M business users with $500/month That's $228B. Ambitious? Yes. Impossible? No. Drivers: AI agents Subscriptions API revenue New revenue streams (affiliate, advertising, etc.) Right now, OpenAI is valued at 30× revenue ($300B valuation). Compare that to: Google: 6× revenue Microsoft: 13× revenue Even NVIDIA: 25× revenue Investors are betting OpenAI will become the Amazon of AI. What's your take?

CTA funds rotating hard into precious metals: Silver/palladium at 100% percentiles while corn/soy getting demolished across all timeframes. Energy complex (diesel/natgas) under heavy selling.

ChatGPT is always wrong about topics where I’m an expert. But that’s ok, I already know that stuff, I’m just glad it’s correct about everything else

Q-Day: the day someone builds a quantum computer that can crack the most widely used forms of encryption

Simple but to the point. Does it apply to the crypto market:

Top 10 Finance Certifications:

Was the beef between Elon Musk and Trump a show? Tesla (TSLA) stock seems to have rebounded after being the top selling EV in China:

That without experimentation, a willingness to ask questions and try new things, we shall surely become static, repetitive, moribund.

love that feeling when you talk stuff out with someone and you both become aware that neither of you were wrong. You just saw the scenario differently. Talking really should be about seeing things from their perspective, rather than the need to be right.

Almost every time I meet somebody who I'd consider to be a genius, I discover that they have some debilitating inhibition like severe insomnia, addiction, mania, or paranoia. Nature trades in fine balances. Rare is the one who gets the gift but not the curse

Popular Machine Learning Models:

12 Foundational AI Model Types ▪️ LLM ▪️ SLM ▪️ VLM ▪️ MLLM ▪️ LAM ▪️ LRM ▪️ MoE ▪️ SSM ▪️ RNN ▪️ CNN ▪️ SAM ▪️ LNN Save the list and check this out for explanations and links to the useful resources:

@Kseniase on Hugging Face: "12 Foundational AI Model Types Let’s refresh some fundamentals today to stay…"

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