Author
Scott H. Young
The self-experimenter who learned MIT's computer science curriculum in a year, then turned his method into a playbook for hard skills.
1 book on BookYol
The story and the impact
Scott H. Young is a Canadian writer who began blogging about learning, productivity and self-improvement in the mid-2000s, while he was studying business at the University of Manitoba. His essays kept returning to one idea that would shape his career: the way most people study is far less effective than it could be, and an ambitious self-directed project can show what is possible instead.
The project that made his name was the MIT Challenge (2011–2012). Using the course materials MIT publishes freely online, he worked through the lectures, problem sets and final exams of its undergraduate computer science curriculum in roughly twelve months, and he documented the process publicly as he went. He followed it with "The Year Without English" alongside his friend Vat Jaiswal. The two spent about three months each in Spain, Brazil, China and South Korea and tried to speak only the local language. He also ran a short project to rapidly improve his portrait drawing.
Those experiments became Ultralearning (2019). The book examines people who taught themselves difficult skills through intense, self-directed projects and distils their approach into nine principles. He extended the same line of inquiry in Get Better at Anything (2024). With Cal Newport, he has also developed online courses on productivity and career skills.
The signature
Young treats learning as a project to be designed, not a habit of exposure. He starts with metalearning, which means mapping what a skill actually demands before studying it. He then practises as directly as possible in the setting where the skill will be used. Weak sub-skills get isolated into drills. He tests himself through retrieval instead of rereading, seeks blunt feedback, plans for forgetting with spaced review, and builds intuition by working ideas out from first principles until he can explain them simply.
What makes the method his is that it comes from a practitioner reporting on his own experiments, including where they fell short. He is candid that ultralearning is demanding and not the right mode for every goal. He also makes experimentation the final principle, so the method itself stays open to testing. The result is less a set of study hacks than a strategy for the moments when a skill truly matters and you are willing to go after it deliberately.