text_examples/1p_ai_tedtalk_natural.txt

Speaker 1: Good evening everyone. I'm, uh, Dr. Rachel Thompson, and I've spent the last fifteen years working in artificial intelligence research. Today I want to talk about why open sourcing AI models isn't just beneficial, it's, um, absolutely essential for our future. So right now, the most powerful AI systems are locked behind corporate walls, controlled by a handful of companies. But, uh, imagine if the internet had been proprietary, if only Microsoft could build websites, or if only Google could create search engines. We'd have missed, um, decades of innovation. The same principle applies to AI. When we open source AI models, we, uh, we democratize intelligence itself. Small startups in developing countries can build healthcare applications that diagnose diseases. Researchers at universities can study AI safety without needing, um, billion dollar budgets. Teachers can create personalized learning tools for their students. Open source AI accelerates scientific discovery because, uh, thousands of researchers can collaborate instead of duplicating work in isolation. It also makes AI safer. When models are transparent, we can identify biases, understand decision making processes, and, um, build better safeguards. Proprietary AI is like, uh, medicine without ingredient labels, we're asked to trust without understanding. But open source AI invites scrutiny, encourages improvement, and, um, builds collective wisdom. Now, the companies hoarding AI today will tell you it's too dangerous to share. But, uh, the real danger is concentrating this transformative technology in the hands of a few. Open source AI doesn't just benefit developers, it, um, it benefits humanity. It ensures that the most important technology of our time serves everyone, not just those who can afford premium subscriptions. The future of AI should be written by, uh, all of us, not just a select few. Thank you.