|
You are here |
www.lesswrong.com | ||
| | | | |
paulgraham.com
|
|
| | | | | [AI summary] The article 'How to Do Great Work' by Cal Newport explores the path to achieving significant work by emphasizing the importance of deep work, cultivating one's unique interests, and embracing curiosity. It outlines various strategies to overcome common obstacles like procrastination and fear, and highlights the value of focusing on personal passion rather than external validation. Newport also touches on the role of heuristics in finding meaningful work and the importance of persistence in the face of uncertainty. The piece concludes by encouraging readers to take initiative and try to do great work, suggesting that the potential for success is vast and that the journey is worth the effort. | |
| | | | |
zhengdongwang.com
|
|
| | | | | [AI summary] The author reflects on a year of experiences, travel, personal growth, and productivity. They discuss their journey through various cities like London, the Bay Area, and others, highlighting the cultural and intellectual aspects of each. The author also addresses their personal habits, the challenges of balancing multiple projects, and the importance of focus and recovery. They mention reading John Gaddis's book, the value of structured breaks, and the significance of writing reflective letters. The piece concludes with a lighthearted note about parting with a handmade cake branding iron. | |
| | | | |
meaningness.com
|
|
| | | | | Explore the ideas of Meaningness in greater depth by reading the books that inspired it | |
| | | | |
ischoolonline.berkeley.edu
|
|
| | | Whether you know it or not, you've probably been taking advantage of the benefits of machine learning for years. Most of us would find it hard to go a full day without using at least one app or web service driven by machine learning. But what is machine learning? | ||