What does it really take to reach your peak? The answer lies in the Netflix documentary Skyscraper Live, as climbing legend Alex Honnold scales Taipei 101, the tallest building in Taiwan, one move at a time. Watching him ascend the 1,667-foot glass and steel tower as if he were Spider-Man reveals a deceptively simple formula for mastery: Total focus on making your next best move.

Larry King used to tell me: "Nobody loves a hurricane like the weatherman." I learned exactly what he meant during the last winter storm — when the forecast was certain… and reality had other plans. It's why I've stopped trusting forecasts the way I trust people.

A brief encounter with Buddhist monks on their walk for peace from Fort Worth to Washington, D.C., leads Cal to wonder what Martin Luther King Jr. might have thought if he'd seen the large crowd of Americans gathered in gratitude for their journey.

A high school student named Matteo Paz uses old NASA data and new AI to find 1.5 million objects never noticed before in space (including planets in other solar systems). AI can now predict 130 diseases (including heart ailments, kidney failure and strokes) based on studying one night of sleep. And a school called Alpha uses only AI tutors, teaches core academics for only two hours a day and achieves top scores. Don't be late for the future.

In the age of artificial intelligence, it isn't a machine that stops Cal in his tracks—it's a deeply human idea. What if playing a video game could help fight cancer? Thanks to Travis Jennings and a small group of friends, a chain reaction begins—turning gamers with little money of their own into philanthropists. A breakout company called Besitos matches their winnings with donations to the American Cancer Society and bridges the cause to the $60 billion video game industry.

Imagine a mind that can solve a Rubik's Cube in 17 seconds. A mind that contributed to the development of OpenAI. A mind that directed AI for Elon Musk at Tesla. A mind named one of Time Magazine's Top 100 in artificial intelligence. Now imagine that same mind encountering recent, almost "alien" advances in programming—so startling they prompted a public admission: "I have never felt so behind." If someone like that can't keep up, what does it mean for the rest of us? We're entering a world we may not soon recognize. For Cal, that realization leads to a simple conclusion: This New Year isn't about racing machines—it's about reclaiming what they can't replace.

When Cal visits an old mentor, he's struck by two realizations. First: Some of the most profound moments in a young person's life can happen in entry-level jobs, when the right person takes you in, opens a door, and points you on the right path. Second: As artificial intelligence wipes out many of those first jobs, it will also erase those connections and moments. What disappears isn't just work. It's mentorship. It's the quiet bonds that shape confidence, character, and destiny. What will happen to a generation shaped without them? And an even bigger question: How might we be able to preserve them?

There are those believe artificial intelligence will cure cancer, reverse global warming, and unlock human potential. There are others who believe it will end everything we know. For the first time in history, both sides may be right. We are living inside the most consequential argument humanity has ever had — and the clock is ticking.

When Cal returns to Tampa's Ybor City to speak, he keeps a ritual that's become almost sacred: a meal at the legendary 120-year-old Columbia Restaurant, followed by a quiet moment of thanks to the man who first sent him there — Muhammad Ali's doctor, the renowned Ferdie Pacheco. Ferdie wasn't just the "Fight Doctor." He was an artist, a storyteller, and a man with a taste for a good practical joke. After his meal, Cal goes to pay tribute to Ferdie through his painting that hangs near The Columbia's kitchen. Only this time, the painting is gone, and it feels to Cal like an old friend has vanished. What happened next left Cal with a twist he couldn't see coming — and a hint that destiny sometimes whispers through the strangest openings. Listen in to hear the story unfold.

The future may not be hiding in Silicon Valley. It could be hidden in your childhood. When a bright young grad sits down at Cal's Thanksgiving table worried about AI layoffs and disappearing careers, Cal offers an unexpected roadmap: Don't try to predict the future . . . remember it. Some of the greatest innovators didn't choose their path — their childhood chose it for them. In this episode, Cal shows how a single moment from your early life can reveal where you're meant to go next in an AI-shaken world. If you're wondering what job will survive the robots, why not start with the kid you used to be, then project forward.