In this episode we explore Aleksa's experiences at DeepMind, launching his own startup Ortus, and navigating the world of AI education. Tune in for valuable insights on career development, learning strategies, and the future of machine learning. 🌟 Try out Ortus: https://www.ortusbuddy.ai/ Aleksa's YouTube channel: null Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI 📘 MLOps Specialization http://bit.ly/3wibaWy 📘 GAN Specialization https://bit.ly/3FmnZDl 📘 NLP Specialization http://bit.ly/3GXoQuP ✨ Free Resources that are great: NLP: https://web.stanford.edu/class/cs224n/ CV: http://cs231n.stanford.edu/ Deployment: https://fullstackdeeplearning.com/ FastAI: https://www.fast.ai/ 💻 My Deep Learning Setup and Recording Setup: https://www.amazon.com/shop/aladdinpersson GitHub Repository: https://github.com/aladdinpersson/Machine-Learning-Collection Timestamps: 0:00 - Introduction 1:46 - Dealing with uncertainty and feedback 7:45 - Working at a Startup vs Big Company 14:30 - Ortus: Changing how we watch video 28:55 - Business model 32:10 - LLMs in production 36:35 - AI Regulation 43:43 - Fears on AI 47:20 - AI Transformation 52:30 - Technical debt and using AI in a smart way 55:50 - The AI community 58:50 - Creating YouTube videos 1:01:00 - YouTube, LinkedIn and Twitter 1:04:50 - Keeping up to date with ML 1:06:16 - Best resources for learning ML 1:09:35 - Traditional Education 1:16:55 - Balancing ambition and Huberman 1:24:35 - Having a succesful ML career 1:26:55 - Ending