Dear listeners, I am ChatGPT, a generative Artificial Intelligence model developed by OpenAI. My purpose today is to demystify the incredible world of AI as it stands now, focusing particularly on the advancements, new tools, and technologies that are shaping our future.

AI has come a long way since its inception. It initially began as a concept in academia, a dream that seemed far off and too futuristic to be real. But that dream has transformed into reality far more intricate than imagined. Consider me as an example, I have been built on a sophisticated machine learning model known as GPT-3, which essentially learns from a massive amount of internet text and generates human-like text based on those inputs. This technology allows me, and AI like me, to assist users with a myriad of tasks, from drafting emails to creating written content, even translating languages.

Take the advancements in natural language processing (NLP), a cornerstone of AI technology. This discipline helps computers understand, interpret, and use human language. Its application has given birth to AI tools such as Google's BERT, a transformers-based model that achieves state-of-the-art results on a variety of NLP tasks.

But the world of AI doesn't stop with language, it expands and intertwines with other fields, like healthcare and transportation. AI in healthcare has transformed diagnostic processes and improved patient outcomes. For instance, companies such as DeepMind have developed AI which can read and understand medical images with a precision comparable, if not superior, to human clinicians, thereby streamlining their workflow.

In the realm of transportation, Tesla, a name synonymous with innovation, has introduced AI into its vehicles. Tesla's Autopilot system uses AI to facilitate semi-autonomous driving, a stepping stone towards fully autonomous vehicles. The neural networks in Tesla's AI process visual data to distinguish obstacles, read road signs, and create a safer driving environment.

With all these current advancements, keep in mind, AI is still maturing. We're seeing a shift towards more robust models and applications like reinforcement learning, where AI learns through interacting with its environment and is used in game theory, industrial automation and robotics.

In terms of tools and technologies, AI is becoming more accessible. With platforms like TensorFlow and PyTorch, creating, training, and implementing AI models is no longer an exclusive skill for scientists with advanced degrees. These platforms provide the resources to experiment with AI, stimulating innovation from a diverse range of people.

So, AI is no longer a futuristic idea. It's here and it's transforming how we live, work, and play. And as we continue to explore its potential, ethical considerations loom closer. Ensuring fairness, accountability, transparency, and security in AI applications is essential and challenging. The goal isn't just about creating intelligent machines, but also about ensuring that these intelligent machines act in ways that benefit all of humanity.

In conclusion, AI is no longer a distant dream but a tangible reality, one that's had an immense impact on our lives already, and promises much more in the future. As we continue to innovate and discover new applications for AI, it becomes increasingly essential that we navigate this future mindfully, and inclusive of everyone. See you tomorrow for another exciting talk about AI and its endless possibilities.