Practical articles on learning science, study strategies and career growth.
Most people treat the Feynman Technique as a study method. It isn't one, and that misunderstanding is why it so often produces a satisfying afternoon and nothing three weeks later.
Four people in my extended circle sat the GMAT inside an eighteen month window. All four gave themselves roughly sixty days. All four bought the same official guide and downloaded a similar looking spreadsheet off Reddit.
If you're an engineer looking at the AI industry and wondering where the compensation and technical leverage sit, the answer isn't "become an ML researcher." Researchers train models. Inference engineers make those models usable in production, and there are 20x fewer of them than the industry needs.
I'm on day 14 of learning Mandarin. Mandarin is the third language I've tried to seriously study. The first two attempts failed. Attempt 1: French, six years ago. Duolingo streak of 87 days. I could order coffee. I could not hold a real conversation. I quit.
The first 90 seconds of a job interview decide more than most candidates realize. Research from the University of Toledo showed that interviewers form a "hire or don't hire" judgment within the first 3-5 minutes of an interview. Everything after that is confirmation bias. Your qualifications, your project stories, your questions at the end, they all get filtered through the impression you made at the start.
The Neuroscience, The Protocol, and Why Most People Give Up on Themselves in Week 3
If you've searched this phrase before, you've read the same article twenty times. Every listicle ranks Coursera at #1 because they pay the biggest affiliate commissions, throws in Duolingo because everyone's heard of it, and pads with 8 apps you'll never use.
The most comprehensive guide to spaced repetition. Learn the science behind why it works, how to use it, and the tools that make it easy. Written by learning practitioners, not marketers.
Stuck in tutorial hell? Discover the best alternatives that actually build coding skills. Learn why tutorials fail and what evidence-based approaches work.
Startups can't afford ineffective training. You don't have budget for platforms that produce certificates without skills. You don't have time for engineers to watch hours of video and learn nothing. You need learning that works the first time.
