Built Different

This man's credentials will leave you speechless. 7th degree black belt. World's fastest gun disarm. Former Marine. All forged from being forced to kill at age 7. The explosive secret to weaponizing your worst trauma into unstoppable strength:

Figure taught two robots to make a bed together. Fully autonomous. I've been in robotics nearly 2 decades. Most demos turn out staged or teleoperated. But this one surprised even me. Here's why my timeline just moved:

6 habits for ageing well in your 60s and 70s (as per Stanford): 1. Strength and power training

A single piece of drill core from our Nisk project can be worth over $2,000. Most investors have never seen margins like this in any sector. Here's what makes high-grade polymetallic discovery so different: When people hear "mining," they think heavy equipment and tight margins. What they don't see is what's inside the rock. Power Metallic's Lion Zone is a zoned polymetallic system. Copper. Nickel. Palladium. Platinum. Gold. Silver. All in one deposit. That means a single drill core intersection can carry four or five revenue streams, not one. There are only a handful of significant systems like this on the planet. The economics of high-grade polymetallic aren't like gold or lithium. The metal basket creates margin density that most investors have simply never been exposed to. This is why 15 billionaires invested. This is why we raised C$50 million. This is why we funded a 100,000-metre drill program through 2026. The margin story is the thesis. Full conversation: youtube.com/watch?v=m2mb7S… $PNPN $PNPNF

In mid-1985, Andy Grove pointed out his window at a Ferris wheel. Intel had been a memory chip company for 17 years. Japanese competitors were eating them alive. He turned to Gordon Moore and asked one question. Here's how it built the largest semiconductor empire:

A ruthless NYPD detective obsessed with breaking a heroin ring. A surveillance expert in San Francisco, unraveling into paranoia after one recording. Two performances by Gene Hackman. One a study in force, one in silence. The French Connection and The Conversation.

The iRobot co-founder just bet against humanoids. No legs. No voice. No cloud. A 23-joint robot bear that does no chores. And it's the most contrarian consumer robot bet I've seen in 10 years. Here's why every humanoid company should pay attention:

I went from a bakery in a small fishing village to running the top performing mining company on the TSXV. But between those two things, I built the fastest growing company in Canada - and watched it collapse. Then I took over a mining company, the same year the entire sector crashed. Here's what those crashes taught me: When I was growing up, my father was a baker in a small Maritime fishing village. Nobody in my world talked about capital markets. Nobody talked about mining exploration. Nobody talked about building companies. I went to St. Francis Xavier on a scholarship, graduated with joint honours, and started building. Pallet Pallet Inc. went public in 1992. Fastest growing company in Canada in 1993 and 1994. Then I watched it all go sideways. I walked away in '96 and stepped back from business for 15 years. That experience taught me something no business school ever will: the people who survive crashes aren't the ones with the best plan. They're the ones who keep showing up when the plan stops working. I cofounded Cardiol Therapeutics in 2018 and helped raise $100 million. I founded Save Canadian Mining in 2020 to fight predatory short selling. And when we acquired the Nisk project in 2021, I knew what I was looking at. Power Metallic is the bet I've been building toward my entire career. Fully funded. 100,000 metres of drilling. One of the most significant polymetallic discoveries in decades. The crash-to-cash story isn't luck. It's conviction, timing, and showing up when everyone else leaves. Full conversation: youtube.com/watch?v=m2mb7S… --Terry $PNPN $PNPNF

When Lisa Su took over AMD in October 2014, the stock was at $3.28. By July 2015 it had bottomed at $1.61. Analysts called the company uninvestable. Today AMD is worth over $680B. Here's how she pulled it off:

She has been at Kismet since the very beginning. Inquiry process. The first data migrations into Navigator. Cleaning up integrations. Two days ago she started another new role. Shanti Dhanaraj wears whatever hat the company needs. Here is her story:

A New York writer lost in a four-day binge. A failed Hollywood screenwriter driving to Vegas to drink himself to death. Two devastating portraits of alcoholism and self-destruction. The Lost Weekend (1945) and Leaving Las Vegas (1995).

Everyone thinks Musk vs OpenAI was billionaire drama. WRONG. This was the first major legal battle over the future intelligence economy. Because underneath it all: AI is no longer a product. It's infrastructure.

Your brain has 7 to 30 times more microplastic than your liver or kidney. Dementia patients carry the heaviest loads. A new Brain Health Perspective just called this a brain emergency. Here's the evidence stack and the only removal pathway being tested:

Howard Schultz had been back as Starbucks CEO for 7 weeks. On a Tuesday in February 2008, he closed all 7,100 US stores at 5:30 PM. For 3 hours, every barista was retrained. Estimated lost sales: $6M in one night. Here's how he brought Starbucks back from the brink:

Juan López García is 82. At 66, he couldn't finish a mile. Today his VO2 max beats 70% of 20-year-olds. He holds the world 50K record for ages 80-84. Here's what scientists found and how he does it:

Elon Musk argued last night that complete peace is a bad idea. Not as a provocation but a technical analysis at an Israeli summit in a live interview he started at 2 AM. It was the most interesting thing he said & got the least coverage. Here's the full breakdown: 🧵

Mining will create more millionaires than AI over the next decade. Yet everyone is chasing chips and software. Here's why the real money is in what powers all of it: The world is obsessed with AI. Every portfolio, every headline, every allocation decision points in the same direction. But here's what most investors are missing. AI runs on infrastructure. Infrastructure runs on metals. Copper, nickel, palladium, platinum. The physical materials that make electrification, data centres, and energy grids possible. Supply is constrained. From discovery to production, the average mine takes around 18 years. And demand is growing faster than at any point in the last 30 years. This is the setup for a commodity supercycle. And historically, supercycles are where generational wealth gets built in the resource sector. Power Metallic sits at the centre of this thesis. A zoned polymetallic system with copper, nickel, and PGEs. Only a handful of comparable systems exist on the planet. Well funded with C$50 million raised and 100,000 metres of drilling through 2026. While everyone fights over the next AI stock, the real asymmetric opportunity might be sitting underground in Quebec. Full conversation: youtube.com/watch?v=m2mb7S… $PNPN $PNPNF

She took five months off to find the right job. She refused to settle. Then she sent a cold LinkedIn message to a CEO she had never met. Two years later, Nat Kramersh is the COO of Kismet. Here is her story:

The Cheesecake Factory runs one of the biggest menus in America. 250 items. 100 sauces, all from scratch. A 22-page book. Most chains can barely run 30 items. This one just hit a 47-year sales high. Here's how they pull it off, in 6 moves:

When I demoed Discovery to business leaders at a $60B global enterprise, their first reaction caught me off guard. "Who told you about this?" Then: "This is exactly what we need. It's making us rethink some of the other initiatives we're already running." Discovery is a new engine inside CrewAI. It uses our production data from billions of executions to find the right agent use cases for your specific business. Under the hood: multi-signal matching, cohort analysis, and structural pattern recognition against what's actually working in production right now. You tell us about your business. A few minutes later you're looking at use cases matched to your company. What the automation does, expected impact, complexity, how it fits your org. You can also connect your own data sources. Internal docs, knowledge bases, existing systems. So it works with your internal context, not just ours. We already have customers running it multiple times a day across different business units. It's becoming part of how they plan their AI roadmap. Discovery is live now for every CrewAI user.