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Met a quant making mid-seven figures running systematic allocation at a quant fund. I asked him how he learned to build allocations that don't fall apart the moment market correlation shifts. He sent me the exact video that got him in. MIT's 79-minute portfolio management lecture. You won't find...

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31,417 views • 1 month ago •via X (Twitter)

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My friend makes $1.4 million/year as a Jane Street quant. No MIT. No Stanford. No Ivy League PhD. I asked him how he broke into quant from scratch. He sent me a video that was never supposed to get out. Hedge fund insiders laying out the full quant career playbook. You won't find anything better about becoming a quant than this video. I watched it last night. Halfway through, I realized I could break into a top quant firm in months, not years. Bookmark this and read the article below.
1:00:40

My friend makes $1.4 million/year as a Jane Street quant. No MIT. No Stanford. No Ivy League PhD. I asked him how he broke into quant from scratch. He sent me a video that was never supposed to get out. Hedge fund insiders laying out the full quant career playbook. You won't find anything better about becoming a quant than this video. I watched it last night. Halfway through, I realized I could break into a top quant firm in months, not years. Bookmark this and read the article below.

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143,251 views • 2 months ago

My friend was running a $150M hedge fund strategy on his laptop last night. No MIT. No Stanford. No hedge fund background. I asked him how he learned these quantitative trading strategies. He sent me the course that got him there. 4 real hedge fund managers reveal the strategies that made them billions. You won't find anything better about building quantitative trading strategies than this. I watched it last night. Halfway through, I realized building hedge fund strategies is embarrassingly simple. Bookmark this and read the article below. • 00:00 - quant strategy 1 • 50:45 - quant strategy 2 • 1:28:53 - quant strategy 3 • 1:51:41 - quant strategy 4
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My friend was running a $150M hedge fund strategy on his laptop last night. No MIT. No Stanford. No hedge fund background. I asked him how he learned these quantitative trading strategies. He sent me the course that got him there. 4 real hedge fund managers reveal the strategies that made them billions. You won't find anything better about building quantitative trading strategies than this. I watched it last night. Halfway through, I realized building hedge fund strategies is embarrassingly simple. Bookmark this and read the article below. • 00:00 - quant strategy 1 • 50:45 - quant strategy 2 • 1:28:53 - quant strategy 3 • 1:51:41 - quant strategy 4

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Met a guy making $1.4 million/year as a Jane Street quant. No MIT. No Stanford. No hedge fund background. I asked him how he broke into quant from scratch. He sent me the exact video that got him in. Jane Street's 3-hour course on becoming a quant. Covers everything from interviews to building real quant strategies. You won't find anything better about becoming a quant than this video. I watched it last night. Halfway through, I realized I could break into Jane Street in months, not years. Bookmark this and read the article below. • 00:00 - what Jane Street quant does • 08:10 - the language of quants • 1:14:47 - Jane Street trading interview • 1:40:30 - Jane Street SWE interview • 2:17:54 - building ML systems as a quant

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My friend spent two years getting auto rejected by every quant desk. state school, no PhD, no connections. Last month Two Sigma offered him $650,000. I asked him what finally clicked. He sent me a free Cornell course from 2014. a mathematician at a chalkboard explaining chaos. Steven Strogatz shows you why the market cannot be predicted, and why the pros stopped trying and started controlling risk instead. I watched it last night. Halfway through I understood why the people who get hired talk about surviving the system while everyone else builds one more model to forecast it. Bookmark this and watch the lecture below. - 2:00 - what chaos actually is, and why it is not randomness - 22:00 - sensitive dependence: how a tiny error becomes a different world - 45:00 - why your backtest fits the past and misses the future - 58:00 - predicting the market vs surviving it
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My friend spent two years getting auto rejected by every quant desk. state school, no PhD, no connections. Last month Two Sigma offered him $650,000. I asked him what finally clicked. He sent me a free Cornell course from 2014. a mathematician at a chalkboard explaining chaos. Steven Strogatz shows you why the market cannot be predicted, and why the pros stopped trying and started controlling risk instead. I watched it last night. Halfway through I understood why the people who get hired talk about surviving the system while everyone else builds one more model to forecast it. Bookmark this and watch the lecture below. - 2:00 - what chaos actually is, and why it is not randomness - 22:00 - sensitive dependence: how a tiny error becomes a different world - 45:00 - why your backtest fits the past and misses the future - 58:00 - predicting the market vs surviving it

Rossst.03

10,475 views • 4 days ago

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My friend makes $1.2 million a year as an Anthropic engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting playbook. You won’t find anything better about prompting than this video. I watched it last night. Halfway through, I realized I've been using Claude completely wrong for two years. Watch it, then read the article below.
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32,996 views • 1 month ago

Harry Markowitz, the Nobel laureate who invented modern portfolio theory: "Every fund from Bridgewater to Citadel runs on one equation I wrote as a 25-year-old grad student. Wall Street pays quants $500K to use it. It's free." the thread above teaches you to build a portfolio the real way, with the mathematics of capital allocation. every line of it traces back to one paper markowitz wrote in 1952. before him, "don't put all your eggs in one basket" was folklore. he turned it into algebra. he proved a portfolio's risk isn't the average of its parts, it's driven by how the parts move together, the covariance. combine assets that don't move in lockstep and you cut risk without giving up return. that is the closest thing to a free lunch in all of finance, and he wrote the exact equation for how much of it you get. that single insight, mean-variance optimization, is the engine under every serious fund on earth. renaissance, bridgewater, citadel, your pension, all of them size risk with markowitz's math. he published it in 1952, won the nobel in 1990, and it sits in every textbook and this free lecture. same story i keep telling: the math that runs the trillion-dollar machine has been public and free for seventy years. here is the part markowitz himself warned about. the equation is only as good as the numbers you feed it, your estimates of return and covariance. feed it garbage and the "optimal" portfolio it hands back is confidently, precisely wrong, and it detonates in the exact crisis it was built to survive. the optimizer is free. estimating the future honestly, and knowing when to distrust your own inputs, is the entire job.
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Harry Markowitz, the Nobel laureate who invented modern portfolio theory: "Every fund from Bridgewater to Citadel runs on one equation I wrote as a 25-year-old grad student. Wall Street pays quants $500K to use it. It's free." the thread above teaches you to build a portfolio the real way, with the mathematics of capital allocation. every line of it traces back to one paper markowitz wrote in 1952. before him, "don't put all your eggs in one basket" was folklore. he turned it into algebra. he proved a portfolio's risk isn't the average of its parts, it's driven by how the parts move together, the covariance. combine assets that don't move in lockstep and you cut risk without giving up return. that is the closest thing to a free lunch in all of finance, and he wrote the exact equation for how much of it you get. that single insight, mean-variance optimization, is the engine under every serious fund on earth. renaissance, bridgewater, citadel, your pension, all of them size risk with markowitz's math. he published it in 1952, won the nobel in 1990, and it sits in every textbook and this free lecture. same story i keep telling: the math that runs the trillion-dollar machine has been public and free for seventy years. here is the part markowitz himself warned about. the equation is only as good as the numbers you feed it, your estimates of return and covariance. feed it garbage and the "optimal" portfolio it hands back is confidently, precisely wrong, and it detonates in the exact crisis it was built to survive. the optimizer is free. estimating the future honestly, and knowing when to distrust your own inputs, is the entire job.

Rossst.03

44,259 views • 1 month ago

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My friend applied to 200 tech jobs in two years. No MIT. No Stanford. Last month SpaceXAI offered him $750,000. I asked him how he broke in from zero. He sent me the exact video that got him in. A 1 hour course on "Complete AI Engineering in 2026". Matt Pocock shows you how to architect & build AI agents like Grok Bot from scratch. The exact AI-assisted coding workflow that lets agents ship code while you sleep. I watched it last night. Halfway through, I realized I could break into an AI lab in days, not years. Bookmark this and read the article below.

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My friend makes $1.4 million/year as an Anthropic engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting roundtable. You won’t find anything better about prompting than this video. I watched it last night. Halfway through, I realized I've been using Claude the wrong way for two years. Bookmark & watch this before someone takes it down.
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My friend makes $1.4 million/year as an Anthropic engineer. I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting roundtable. You won’t find anything better about prompting than this video. I watched it last night. Halfway through, I realized I've been using Claude the wrong way for two years. Bookmark & watch this before someone takes it down.

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81,659 views • 2 months ago

My friend applied to 200 tech jobs in two years. No PhD. No Stanford. Last month Anthropic offered him $750,000. I asked him how he broke in from zero. He sent me a course that was never supposed to get out. A 3-hour video to build a full LLM from scratch. A developer teaches you exactly how LLMs like ChatGPT and Claude are actually built. I watched it last night. Halfway through, I realized it's embarrassingly simple to break into an AI lab. Bookmark this and read the article below. • 00:00 - intro to LLMs • 05:43 - LLM transformer architecture • 40:24 - training the LLM • 1:30:27 - modernizing the LLM • 2:33:53 - scaling the LLM
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278,173 views • 1 month ago

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My friend applied to 250 tech jobs in two years. No MIT. No Stanford. Last month SpaceXAI offered him $850,000. I asked him how he broke in from zero. He sent me the exact video that got him in. Google's 1 hour course on "Full AI Engineering in 2026". Ex- Google Jeff Dean shows you exactly how to build AI agents like Grok Bot from scratch. I watched it last night. Halfway through, I realized I could break into an AI lab in weeks, not years. Bookmark this and read the article below. • 00:00 - LLM foundation • 17:22 - how to actually use AI models • 30:03 - AI prompt engineering • 52:35 - one human coordinating 100 AI agents

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648,851 views • 7 days ago

My friend makes around $1.1 million a year as an Anthropic engineer I asked him how he got so good at prompting He sent me a video that was never meant to be released The exact prompting playbook their core team actually uses You probably won't find a better resource on prompting than this video I watched it last night Halfway through, I realized I'd been using Claude wrong for the past 18 months Watch it and save it
14:58

My friend makes around $1.1 million a year as an Anthropic engineer I asked him how he got so good at prompting He sent me a video that was never meant to be released The exact prompting playbook their core team actually uses You probably won't find a better resource on prompting than this video I watched it last night Halfway through, I realized I'd been using Claude wrong for the past 18 months Watch it and save it

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My friend applied to 150 tech jobs in two years. No MIT. No Stanford. Last month SpaceXAI offered him $850,000. I asked him how he broke in from zero. He sent me the exact video that helped him to get in. SpaceXAI engineer's 1-hour course on "Coding with AI Agents in 2026". Lauren Tan (Ex-Cursor) shows you exactly how to build AI agents like Grok Bot from scratch. After this course you could turn AI agents into better engineers than humans. I watched it last night. Halfway through, I realized I could break into an AI lab in days, not years. Bookmark this and read the article below.
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My friend applied to 150 tech jobs in two years. No MIT. No Stanford. Last month SpaceXAI offered him $850,000. I asked him how he broke in from zero. He sent me the exact video that helped him to get in. SpaceXAI engineer's 1-hour course on "Coding with AI Agents in 2026". Lauren Tan (Ex-Cursor) shows you exactly how to build AI agents like Grok Bot from scratch. After this course you could turn AI agents into better engineers than humans. I watched it last night. Halfway through, I realized I could break into an AI lab in days, not years. Bookmark this and read the article below.

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My friend applied to 250 tech jobs in two years. No MIT. No Stanford. No PhD. Last month Anthropic offered him $750,000. I asked him how he broke in from zero. He sent me the exact video that got him in. Andrej Karpathy's 4-hour course on "How to build a full LLM from scratch." Anthropic's own researcher gives up the exact playbook behind building LLMs like ChatGPT & Claude. I watched it last night. Halfway through, I realized I could break into an AI lab in months, not years. Bookmark this and read the article below. • 00:00 - LLMs as new OS • 40:58 - LLM tokenization architecture • 53:22 - LLM neural network internals • 1:04:20 - LLM pretraining • 3:21:37 - LLM RLHF & DeepSeek R1

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124,260 views • 1 month ago