💡 Getting started in programming and tech can be intimidating, but self-teaching can be a successful approach.
📚 Investing in learning resources like books and courses can be a valuable step in the self-teaching journey.
👨💻 Exploring alternative paths, such as starting with Python or pursuing a help desk role, can lead to a career in software engineering.
💡 There are many different career paths in the field of programming, including options beyond coding.
🎓 People from diverse educational backgrounds can excel in programming if they approach it with seriousness and passion for learning.
📚 Books on Python and data structures can provide a solid foundation for a software engineering career, even for beginners.
🤖 AI has the potential to make software engineers more effective, but its limitations and the importance of practical coding skills should not be disregarded.
🧠 Curiosity and a continual desire to learn are essential for success in the field of programming.
🔍 While AI can be a useful tool, traditional methods like searching online resources and consulting forums should not be overlooked.
🤖 Generative AI learning assistants like Khan Academy's platform offer a unique and interesting way for students to learn programming.
📚 Python and JavaScript are recommended as good starting languages for self-taught programmers.
👥 Being part of a supportive programming community, like Tom Style's, can be helpful for self-taught developers.
🚀 For non-tech startup founders, it may not be efficient to invest time in learning programming when they are already focused on building their startup.
📚 The importance of structured learning for learning Python efficiently.
🌐 The benefits of being part of a programming community for self-taught programmers.
🎮 The significance of making programming fun and engaging to increase motivation.
➕ The misconception that being good at math is required for a career in tech.
💻 The focus on fundamental Python knowledge in the first book and technical interview preparation in the second book.
🖥️ The challenges and motivation of tackling technical interviews.
💻 Remote work has become a controversial topic, with some CEOs advocating for in-person work while others support full remote work.
📈 Remote work can be just as effective, if not more efficient, for software engineers as long as they have clear goals and deliverables.
🌐 Full stack training programs, such as the upcoming codeine program, and certifications like CompTIA A+, are expanding job opportunities in the software engineering industry.
⏰ Time management is crucial for productivity, and the 'Getting Things Done' system by David Allen is highly recommended for prioritizing and tracking tasks.
📚 The video discusses the importance of taking notes and prioritizing tasks for efficient software engineering.
⏰ Productivity tools like OmniFocus and Obsidian are recommended for effective time management and note-taking.
🏀 Aside from coding, the speaker also enjoys playing basketball and pool.
🤖 The speaker believes that while there is hype around AI, its practical value and widespread adoption suggest its potential to change the world.
💡 Prompt engineering and generative AI can produce different results depending on the input.
💸 AI job opportunities are increasing, including high-paying positions.
☁️ Cloud computing is being overshadowed by AI.
PWLS 1 Unit 5 Listening
KDD 2023 - The Large Language Model Revolution: Implications from Chatbots and Tool-use to Reasoning
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