Awesome Stuff From Our Partner, NVIDIA -Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/Should we be worried about what OpenAI said about Sora? What does Google's new video game-playing model mean about agents? (Almost) Every week, we dive deep into the AI news and developments to help you keep up with what really matters.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 211: OpenAI’s Sora – The larger impact that no one’s talking aboutUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:50 Google DeepMind enters the world of AI agents.03:56 OpenAI Sora data concerns09:40 Apple develops multimodal language model in 3 sizes.14:42 Generative AI breakthrough in smartphone productivity discussed.20:18 Free GPU chip giveaway25:36 Inadequate multitasking skills; admiration for AI capabilities.27:39 NVIDIA GTC AI event with industry leaders and breakthroughs.Topics Covered in This Episode:1. Google DeepMind's New AI Model, Sima2.  Scrutiny Around OpenAI's Sora Model3. Figure 01, by OpenAI and Figure4. Apple's New Large Language Model, MM1Keywords:Figure AI, real-time conversations, ChatGPT, large language model, OpenAI, NVIDIA, GTC conference, San Jose, California, AI advancements, keynote, CEO, AI in financial services, generative AI, robotics, AI-powered transportation, GPU giveaway, Apple, m m one, multimodal large language model, image recognition, natural language reasoning, Google's Gemini, GPT 4, edge computing, on-device AI, Siri, iPhone, former employees of OpenAI, Boston Dynamics, Tesla, Microsoft, humanoid robots, visual recognition, Tesla's Optimus bots, Google DeepMind, Sima, video games, natural language instructions, video game studios, agents, smart AI, SoRA, text to video model, training data accuracy.