The Science of Learning to Code

The Science of Learning to Code

Learning to code can feel impossible. Like facing a sheer rock wall with no ropes or harnesses. But what if there was a path up the mountain? A trail blazed smooth by master coders who went before?

In this episode, we'll follow that path. We'll hear the stories of legends like Seymour Papert, who championed active, project-based learning. Of Fred Brooks, who discovered that pairing accelerates learning. And more.

The research shows that with the right methods, motivation, and support, anyone can master learning curves and summit. So join me as we uncover the science behind learning to code. You'll walk away fired up, equipped with proven techniques to unlock your potential and conquer new technical skills.

The climb is on!

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Jaksot(116)

The Bitter Lesson: The history of reinforcement learning

The Bitter Lesson: The history of reinforcement learning

I've been trying to understand how machine learning actually works. Not use it, understand it, down to the ifs and loops. How does a program built out of plain conditionals get better on its own? So l...

13 Kesä 1h

The Pre-Training Wall and the Treadmill After It

The Pre-Training Wall and the Treadmill After It

I've been confusing Don with frontier-lab links late at night for a bit. Ilya Sutskever told a NeurIPS audience that pre-training as we know it would unquestionably end. There's only one internet, and...

9 Touko 56min

Story: The Aging Programmer

Story: The Aging Programmer

Kate Gregory has been writing C++ for over forty years. Books, keynotes, a consulting firm she built from the ground up. At sixty-three, she's one of the most experienced programmers alive. She survey...

2 Huhti 41min

From Hacker News to TikTok - How Algorithms Learned to Hook Us

From Hacker News to TikTok - How Algorithms Learned to Hook Us

Corey told me about his AI cat reel problem. He found these AI-genearted cat videos hilarious. Who makes these? He kept sending them to his wife. Then he tried to stop watching and he couldn't. So I w...

2 Maalis 41min

Notes: The Universal Paperclip Clicker

Notes: The Universal Paperclip Clicker

Multiple VS Code windows. "Agent stopping" in a robot voice. A laptop stand on the treadmill so Claude can keep working while I run. The Big Rich sitting unread by the fireplace while I check if the m...

4 Helmi 11min

Story: Inside Early Google - Race Conditions, Java Pain, and the Birth of AdWords

Story: Inside Early Google - Race Conditions, Java Pain, and the Birth of AdWords

Ron Garret left JPL for a 100-person startup he'd just discovered on Usenet. Four a.m. alarms. Burbank to San Jose on Southwest. A rented room in Susan Wojcicki's house. He expected the search engine ...

2 Tammi 37min

Story: The Bug He Couldn't Name - A 15-Year Fight Inside One Developer's Mind

Story: The Bug He Couldn't Name - A 15-Year Fight Inside One Developer's Mind

Imagine facing a problem you can't name, something that feels bigger than any bug you've ever had to fix. How do you debug your own mind when you don't even know what's wrong? Burke Holland's story st...

2 Joulu 202544min

Story: Godbolt's Rule - When Abstractions Fail

Story: Godbolt's Rule - When Abstractions Fail

What do you do when your code breaks and the only fix is to dig into the runtime below? Matt Godbolt lives for that. Tile-based renderers, color-coded scanlines, zero-copy NICs—each story is a clue th...

4 Marras 202544min

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