Why Google Veo, Sora & AI Images Cost So Much | Vision LLMs Explained

Why can ChatGPT write thousands of words almost instantly, but generating a single AI image or a few seconds of AI video can cost dollars in GPU compute? In this video, we break down the hidden engineering behind modern Vision Language Models (VLMs) and explain why AI image and video generation is dramatically more expensive than text generation. You'll learn: • How Vision Language Models (VLMs) work • What visual tokens are • How images become embeddings • Why GPUs are essential for AI • Parallel processing explained simply • Why Sora, Google Veo, Midjourney,Kling and Flux require massive compute • Why AI companies limit free image generations • Why AI video generation is so expensive We also explore today's leading AI models and platforms including OpenAI GPT Image, Sora, Google Veo, Gemini, Midjourney, Runway, Kling AI, Adobe Firefly, Stable Diffusion and Flux. Whether you're curious about generative AI, machine learning, GPUs, or the future of AI infrastructure, this video explains everything in simple language. Which AI image or video generator is your favorite right now? Let me know in the comments! 👇 --------------------------------------------------- WELCOME TO ML/AI FOR FUN (@mlaiforfun)! 🚀 --------------------------------------------------- We break down complex Machine Learning concepts, LLMs, Generative AI, and ML System Design—making advanced AI engineering easy to understand and fun to build. Whether you're prepping for FAANG ML interviews, building autonomous AI agents, or trying to understand the latest AI benchmarks and MLOps practices, subscribe to @mlaiforfun for regular deep dives into AI engineering and machine learning! 📌 CORE TOPICS WE COVER: • LLMs, RAG & Generative AI Systems • Vision LLMs & Multimodal AI Architecture • Autonomous AI Agents & Benchmarks • ML System Design & FAANG Interview Prep • Practical MLOps & AI Engineering #MachineLearning #AIEngineering #LLM #GenerativeAI #MLSystemDesign #VisionLLM #NvidiaGPU #AIAgents #MLOps