167 - AI SERIES: 12 - The Evolution of AI: Rebrands, Capabilities, and Future Trends with Peter Correia

🚨MY NEWSLETTER https://nikolas-newsletter-241a64.beehiiv.com/subscribe 🚨Join me, Nik (https://x.com/CoFoundersNik), as I interview Peter Correia (https://x.com/BizScoutGuy). Get ready for a fascinating dive into the world of AI! Peter, who was into AI way before it was the hot topic, shares his wealth of experience from deep learning to the latest large language models.We unpack the differences between models like Claude, ChatGPT, and even the surprisingly useful Grok, exploring what each is best for, from brainstorming and coding to technical problem-solving. We also tackle the mystery of context windows and how they impact AI performance, plus Peter gives us a sneak peek into using MCPs to automate tasks and integrate AI with everyday business tools like Notion.Questions This Episode Answers:What's the difference between popular AI models like ChatGPT, Claude, and Grok?When should you use a more technical model like O1 versus a general one?How can AI be used for quantitative tasks like analyzing spreadsheets without hallucinating data?What are MCPs and how can they help automate business workflows?What's the deal with context windows and how does the size affect AI responses?Enjoy the conversation!__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Introduction to AI and Personal Journey02:52 Exploring AI Models and Their Applications06:07 Understanding Context Windows in AI09:00 The Role of AI in Business and Data Analysis11:51 Leveraging AI for Project Management and Development15:09 Future of AI and Its Integration in Workflows17:57 Conclusion and Call to Action