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The CEO of Uber just revealed his controversial way of running his company. His principle: Hard work is a learned skill. And if you haven't developed it by now, you probably never will. Dara Khosrowshahi went on Diary of a CEO and dropped something most executives would NEVER admit publicly... He was asked a simple question: "Have you ever seen someone who wasn't a hard worker become a really hard worker?" His answer: "No. No one occurs to me." Not one person. In decades of building billion dollar companies. Then he explained why: "The most important skill in life is the skill of working hard. It's not something you can turn on and off. It's a LEARNED skill. That's not something you're born with." Read that again. He's not saying hard workers are special or gifted. He's saying they LEARNED it. Developed it. Trained it like a muscle. And the people who never learned it? They stay that way forever. This is the guy who turned Uber from bleeding $3 billion a year into printing $10 billion in free cash flow. The guy who took Expedia from $2B to $9B in revenue. And his entire thesis on success comes down to one skill most people never bother developing. Here's how he runs Uber: "You come to Uber, you're going to work your ass off. If you're not performing, we're going to let you know. And if you don't fix it, we're going to push you out." He sends emails on Saturdays. If no response by Sunday, he follows up with just "?" When HR told him he was "scaring people" early in his tenure, he said: "Then they can leave." And here's what separates this from toxic hustle culture nonsense: Dara has dinner with his family every night. 6 to 8pm is protected. But he's back on email at 9:30pm. And again at 5:30am. It's not about grinding yourself to death. It's about the refusal to be outworked. "I'm not going to let anyone outwork me. They may be smarter, more talented. But I'm not going to let anyone outwork me." He studied the elites. Ronaldo. Jordan. The pattern is always the same... Talent gets you in the room. But the thing that separates the best from everyone else? "They work their asses off. They're disciplined. They're structured. They're relentless." That's learned behavior. Not genetics. The uncomfortable truth here is that most people had their chance to develop this skill. And they didn't. Now they spend their energy debating whether hard work is "toxic" instead of building something. The question isn't whether this is "fair" or "healthy" or whatever cope people want to throw at it. The question is which SIDE you're going to be on. The people who learned to work? Or the people who learned to make excuses?

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Ex-Point72 Proprietary Research Head Kirk McKeown on building edge, alpha decay, & why everything that happened on Wall Street is about to happen on Main Street. Kirk McKeown (8.5 years @ Point72 under Steve Cohen | Built primary research at Glenview under Larry Robbins | Now founder of Carbon Arc Carbon Arc) "Alpha rewards those who value assets in a cold way. You want to get it right — not be right." We cover: - How alpha creation differs across multi-manager vs. concentrated shops - The 3 vectors every middle office function must move to justify its existence - Why he worked 6-hour Sundays from 2006-2020 — and the math behind it - The TSMC call that signaled semiconductor cancellations before anyone else knew - What the quant revolution on Wall Street tells us about the AI economy today - His framework: 4 market structures, 9 business models, & why they have rules - The MIT beer game & why every business problem is really an inventory problem - His hot take: a top hedge fund launches an enterprise AI lab in 2026 Highlights: 00:00 Intro 04:47 Tutor vs Glenview vs Point72: how edge differs 12:29 How to build “lift” for PMs: at-bats, hit-rate, sizing 18:44 Building research edge: outwork, read, fieldwork 27:16 Personal moat in 2026: analogs, history, decision trees 40:08 “Main Street becomes Wall Street”: what that actually means 44:30 Carbon Arc thesis: “decimalization” of data market structure 46:43 Why the edge migrates to data plus domain context 51:00 How to win in commoditized research: sample size beats anecdotes 01:03:26 Factorizing everything: themes, market structure, business models 01:08:37 Pruning decision trees: signals, scale points, inventory dynamics 01:14:18 Contrarian 2026 take: hedge funds launching enterprise AI labs 01:23:32 Final question: one habit to build career alpha

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