AI has made great improvements, especially with tasks that involve generating human-like responses and art. However, many people are getting carried away with the hype about its capabilities.
Machine learning allows AI to recognize patterns in data, but it doesn't actually understand content like a human does. This means it can make mistakes that a human wouldn't.
The idea of creating Artificial General Intelligence (AGI) from current AI is questionable because we still don't fully understand how human intelligence works. It's not just about being faster; something fundamental is still missing.
The traditional waterfall model of software development rarely works well. Projects often go over budget, and the software can end up being unusable.
Agile development was created to improve this, but many teams still stick to outdated processes and struggle with meeting user needs.
Involving users early by writing code during requirements gathering can lead to better feedback and faster development, making sure the software created is valuable.