Why is it next to impossible to build a foundation AI model скачать в хорошем качестве

Why is it next to impossible to build a foundation AI model

Everyone is using AI today. Chatbots, search engines, coding assistants, document tools — they all feel different. But underneath, most of them rely on the same foundation AI models. So a natural question comes up: Why doesn’t everyone just build their own foundation AI model? In this video, I break down why building a foundation AI model is next to impossible for individuals and most companies — even highly skilled ones. We’ll explore: What a foundation AI model really is (and why it’s called “foundation”) How language models slowly evolved into large multi-modal systems Why training these models takes years before they’re even useful The real cost behind data, computing power, and long-term maintenance Why only a few companies in the world can afford to do this How most businesses actually build on top of existing foundation models instead And why the future of AI isn’t about building models — but adapting them better than others This video isn’t about hype. It’s about understanding the real structure of modern AI systems and where individuals, startups, and companies actually fit in this ecosystem. If you’re curious about AI, business, or the reality behind large language models — this one’s for you.