Как запоминать ВСЕ с помощью NotebookLM и Anki

⭐ Method for outperforming competitors: https://zproger-school.com/notebooklm ⭐ OOP Course and Private Channel: https://zproger-school.com/?utm_sourc... ⭐ Telegram Channel: https://t.me/+2haQ8DMjSqRlNDNh In the age of AI, information has become overwhelming. People simply don't have time to study all the technologies and articles. As soon as you master one neural network, a new one (more advanced, faster, and cheaper) immediately appears. My scheme allows you to filter out all unnecessary information, remove unnecessary noise and fluff, so you get only high-quality information. I show you how to integrate NotebookLM with Anki to maximize the memorization of high-quality information. We'll explore how to use the right prompt to force AI to squeeze out all the fluff, leaving only the meat and automatically create flashcards for spaced repetition. This is a legitimate cheat code for learning in 2026. In this video: How to read 60 books a year and not forget their content. NotebookLM setup: extensions and prompts for expert-level extraction. How to remove junk and leave only the essence (using Python as an example). Anki integration: creating a knowledge base that works for you. How to overcome information overload and stop losing to the competition. ⭐ Get the prompt for NotebookLM: https://t.me/codeblog8/309 ⭐ Video about Obsidian:    • Как запоминать ВСЕ с помощью Obsidian.md и...   ⭐ Previous NotebookLM video (base):    • Я сэкономил 1460 часов на обучении (Notebo...   📁 Github: https://github.com/Zproger 📁 All lesson playlists: https://bit.ly/39GaY89 📁 Contact me: [email protected] 📁 Support the channel: https://github.com/Zproger/donate Timecodes: 00:00 - Main learning challenges 1:43 - Extension for easy work with NotebookLM 2:30 - How to quickly benefit from videos and articles? 4:47 - Extracting key points from videos and articles using prompts 5:47 - How to organize all videos and articles without adding unnecessary information? 6:38 - Checking information for logical errors and filtering out fakes 10:32 - How to check if I've understood the material correctly? 10:55 - How to integrate with Anki for maximum memorization?