Dear amazing community members, After much consideration, I've made the difficult decision to pause our community here on Skool. This isn't goodbye forever, but rather a "see you later" as I focus my energy on some exciting AI ventures that require my full attention right now. To each and every one of you: Thank you for making this community what it became. Your questions challenged me, your successes inspired me, and your willingness to share experiences created something truly special. Whether you were here from day one or joined us recently, you've contributed to a space where real learning and genuine connections happened. I'm deeply grateful for: - Every thoughtful question that sparked meaningful discussions - The wins you shared that celebrated our collective growth - The support you showed each other, even when I wasn't around - Your patience as we built something together from the ground up While I'm stepping away from hosting this community, I'm not disappearing from Skool entirely. You can still find me on the platform, and I'll always be grateful for the relationships we've built here. This isn't the end of our story. When the time is right and I can give a community the attention it deserves, there's a very real possibility we'll reunite. Until then, keep pushing boundaries, keep asking great questions, and keep supporting each other wherever your journeys take you. The official shut down date will be this July 17th. Thank you for being part of something special. It's been an honor to learn alongside all of you. With genuine appreciation and excitement for what's ahead, Terry P.S. - Feel free to connect with me directly if our paths cross again on Skool. Once part of this community, always part of this community 🤝🏼

Today's research dives into the exciting realm of Multimodal AI, showcasing how AI is revolutionizing tropical cyclone prediction with the latest advancements from Google DeepMind. 🔬 Using cutting-edge AI systems like Gemini and Flash-Lite, researchers are enhancing the accuracy of tropical cyclone forecasts through multimodal data fusion techniques, enabling better preparedness for extreme weather events. 🏭 The real-world application of this research is profound, as improved cyclone prediction models can potentially save lives and mitigate the impact of natural disasters on vulnerable communities worldwide. 📈 The performance benchmark set by these AI models demonstrates a significant leap in predictive capabilities, setting a new standard for the integration of diverse data sources in weather forecasting. ⚡ The efficiency gains from utilizing multimodal AI for cyclone prediction highlight the power of combining different data modalities to enhance the accuracy and reliability of forecasting models, paving the way for more effective disaster management strategies. 🎯 Listen Now 📥 Download MP3 ⏱️ Duration: ~5 minutes | 🎙️ Format: Professional AI research narration ──────────────────────────────── 💭 Let's Discuss: 1. How can multimodal data fusion techniques, as seen in Gemini and Flash-Lite models, improve the accuracy of other types of weather predictions? 2. In what other areas of disaster management could multimodal AI integration have a significant impact based on the insights from this research? 3. What challenges might arise in implementing these advanced AI systems for real-time cyclone forecasting on a global scale? ──────────────────────────────── 🔥 Why This Matters: Today's research not only enhances cyclone prediction accuracy but also underscores the transformative potential of Multimodal AI in addressing critical challenges like natural disasters, showcasing the tangible benefits of AI advancements in real-world scenarios.

https://www.instagram.com/reel/DFnincAPFyh/?igsh=MTFid255NWdnM2UwZQ== It’s interesting to be able to see what’s going on in a visual way. I still don’t quite understand what’s happening but from what I can tell is it’s able to extrapolate specific information from reorganizing data. I’m curious how it’s able to do this. Like is it running some kind of recursive program to deduce or is it some other kind of data point it’s able to utilize for an answer. 😭😭 I feel like a middle school teacher asking a student to show their math work. 😂

I've had some interesting experiences in my career, from an unpaid internship, to working on projects for The Treasury and Meta, to being laid off, even doing a kickstarter campaign for an indie sci-fi movie... Of all things, it happened to be at In-N-Out for lunch after a gym session with a great friend that inspired this AI curiosity and journey of mine. Long story short... I want to build a world in which people understand their significance, and feel empowered with the proper resources and knowledge to help them express their creativity and be their authentic selves. I believe that AI can bring us closer to humanity, rather than further. 🙋🏻‍♂️ Oh, my name is Terry btw. Welcome to Seamless-AI. In order to build that world I envision, it starts with us embracing AI, and I won't be the only one teaching you. I promise if you engage, you'll find so much more extra value in building this community together than I could ever teach you by myself. I'll show you how to build automation workflows and agents that are built for you - the human, the individual. Adoption starts with us. ----------------------------------------------------------------------------------- Start with an introduction of yourself, your interests, and something meaningful about yourself, like your purpose or passions in life. Answer the poll with your 'technical level', and include in the comments what you seek to accomplish within our community, and why you chose to join! Engage other learners in the comments and make connections with those that have similar goals. 📱 Please reach out to me as well, I want to set up meetings with every member in the community! 📩 🌳 Let's build this community together.

Today's digest spans an impressive range of AI frontiers—from large language models to retrieval-augmented generation and beyond. These aren't isolated advances; they're pieces of a larger puzzle that's reshaping how we think about artificial intelligence. 🚀 Today's Key Insights: - 🔬 Large language models evolving rapidly with new architectures and applications - 🏭 Real-world applications emerging in robotics and automation - 📈 Significant performance improvements across multiple benchmarks - ⚡ Focus on efficiency and optimization for practical deployment 🎯 Listen Now 📥 Download MP3 ⏱️ Duration: ~5 minutes | 🎙️ Format: Professional AI research narration ──────────────────────────────── 💭 Let's Discuss: 1. Which breakthrough do you think will have the most immediate real-world impact? 2. How might advances in large language models transform robotics and automation in the next 2-3 years? 3. What do you see as the biggest remaining challenges in this research area? ──────────────────────────────── 🔥 Why This Matters: These aren't just academic papers—they're blueprints for the AI systems that will shape our world. Understanding these developments today gives you insight into tomorrow's technological landscape. 👇 Your Turn: Which research direction excites you most? Drop your thoughts and let's explore these ideas together! #AIResearch #Innovation #FutureOfAI #MachineLearning #TechTrends