In this exciting episode of the AI Amigos Show, Marina, James, and Jianchao dive deep into the world of reinforcement learning and its pivotal role in the evolution of AI technologies. We explore how models like DeepSeek are transforming the landscape, especially in generating high-quality results using reinforcement learning techniques. From AI models’ energy consumption and training to how reinforcement learning shapes the way these agents evolve, we cover it all! We also discuss the growing competition, the importance of pre-trained models, and the ethics of AI. Plus, James shares his experience with reinforcement learning in stock trading, while Chen Chow delves into the real-world applications of DeepSeek. Tune in for a fascinating conversation on AI's past, present, and future!

🎙️ Is #DeepSeek the next biggest #OpenAI Competitor? 🤖💡In this episode of AI Amigos, we talk about "the company of the moment", #DeepSeek, the latest AI powerhouse making waves in the industry 🔥 🧐 We discuss the company's vision, its advancements, and the possible strategies investors should consider. Is DeepSeek poised to challenge OpenAI as the dominant force in #AI? Or will it take a different path? 🔍💭🎙️ Join us as we break down the tech, the market dynamics, and what this could mean for the future of #LLMs, AI research, and global competition in the AI space.Tune in for expert insights, bold predictions, and an engaging conversation with your hosts Marina, James and Jianchao🎧🔥

Ever wondered how AI “thinks”? How it moves from one thought to the next, piecing together logic like a human would? 🤯

We’re exploring the fascinating world of AI reasoning, specifically the ‘chain of thought’ process—how machines simulate step-by-step logic, solve problems, and even surprise us with creative breakthroughs! 🧠✨

From simple pattern recognition to complex decision-making, AI is evolving in ways that make us question what it really means to “think.” Can AI develop reasoning abilities similar to human intuition? What are the limitations? Where does it go from here?

🔍 Let’s discuss! How do you see AI reasoning evolving in the next few years?