Built by You. Part 1: AI Foundations

Curriculum focused on AI foundations, discussing the importance of a builder mindset and privacy in AI. She emphasizes the role of AI in empowering non-technical people and shares insights on AI's limitations, such as hallucinations and overconfidence. Anna encourages experimentation and learning through play, highlighting tools like Telegram for communication and various AI tools for productivity and design. Timestamps 0:00 - Introduction 0:09 - Overview of AI foundations and LLMs 0:44 - Anna's background in tech and AI 2:05 - Importance of privacy and safety in AI 3:03 - Course structure and feedback 5:22 - Experiment and learn 11:54 - Empowerment through AI for non-technical people 17:11 - Explanation of LLMs and their limitations 19:08 - Discussion on GPT and AI's predictive nature 25:01 - Limitations of LLMs and AI's unpredictability 29:59 - Privacy layers and data usage 32:47 - Developer and open-source models 39:36 - Importance of prompting and context 48:22 - Encouragement to perceive AI as play 50:18 - Five levels of AI usage 55:50 - Tools for meetings and productivity 01:00:17 - Prototyping and application building 01:05:34 - Building personal agents and skills 01:09:52 - Encouragement to automate repetitive tasks 01:20:14 - AI mindset and problem-solving Tools Mentioned Monologue: A transcribing tool similar to Whispr Flow. Claude: For design and prototyping. Google AI Studio: For UI copying and prototyping. Replit: For building chatbots and small services. Base 44: Advanced version of Lovable for app building. Notebook LLM: For context and prompting.