Summary:
- The article discusses the current approach to training AI systems, which often involves large language models trained on vast amounts of internet data.
- The author argues that this approach is flawed, as it can lead to biases, inconsistencies, and a lack of true understanding of the underlying concepts.
- The article suggests that a more targeted and focused approach to AI training, with a greater emphasis on task-specific knowledge and reasoning, could lead to more reliable and trustworthy AI systems.