chatGPT: what can we learn from the large language models? | Computational Intelligence

These texts, authored by Jorge Guerra Pires, PhD, explore the realm of computational thinking and artificial intelligence, particularly focusing on neural networks and large language models like ChatGPT. Pires examines the potential applications of AI in fields such as medicine and music, discussing both the capabilities and limitations of current AI models compared to human intelligence. He highlights the historical development of computational approaches to problem-solving, from manual calculations to complex algorithms, and emphasizes the growing importance of making complex scientific concepts accessible to a wider audience. The author also touches on the broader societal implications of increasing automation and the need to focus on uniquely human skills in the face of advancing AI.

From my blog: Computational Thinking