The Promise of Artificial General Intelligence is Evaporating
source: mindmatters.ai (contributed by Artemus founder, Bob Wallace) | image: pexels.com
Revenue from corporate adoption of AI continues to disappoint and, so far, pales in comparison to the revenue that sustained the dot-com bubble — until it didn’t
hink back to when you took a science class in high school or college. Introductory physics, for example. There was one textbook and, if you learned the material in the book, you got a high grade in the class. If you were super serious, you might read a second textbook that reinforced what was in the first book and might even have added a few new concepts. A third book wouldn’t have added much, if anything. Reading a 10th, 20th, or 100th textbook would surely have been a waste of time.
Large language models (LLMs or chatbots) are like that when it comes to absorbing factual information. They don’t need to be told 10, 20, or 100 times that Abraham Lincoln was the 16th President of the United States, Paris is the capital of France, or that the formula for Newton’s law of universal gravitation is