ChatGPT might be taking over the internet, but a computer scientist explains why some problems are still too hard to solve—even for AI.

The article focuses on the capabilities and limitations of computers, particularly in relation to artificial intelligence and algorithm efficiency. It explains that a computer's power is determined by its hardware speed and the efficiency of the algorithms it runs, with some problems being unsolvable or impractical to solve even with advanced technology. The concept of a Turing machine, introduced by Alan Turing, serves as a foundational model for understanding computability, while NP-complete problems, such as the Traveling Salesman Problem, highlight the challenges in finding efficient solutions. The article also discusses the potential of quantum computing to address certain computational problems that are currently beyond the reach of traditional algorithms. [Extracted from the article]