The article also discusses the potential issues with AI, including its inability to say "I don't know" and its tendency to invent facts, known as hallucinations. It also highlights the problem of bias in AI due to the training data used. The article further explains how AI can generate images and discusses the concept of Artificial General Intelligence (AGI), which refers to software capable of exceeding human capability in any task. However, the article concludes that AGI is currently just a concept and may not even be possible.
Key takeaways:
- Artificial Intelligence (AI) is software that approximates human thinking, and it's also referred to as machine learning. It doesn't actually 'know' anything but is good at detecting and continuing patterns.
- AI models can create low-value written work, sort and summarize large amounts of data, and even accelerate scientific discoveries by mapping out and finding patterns in data.
- AI can go wrong when it encounters something it hasn't seen before, leading to 'hallucinations' or invented responses. Bias is another issue, as AI models can only learn from the data they are given, which may not be representative or appropriate.
- AI models can also generate images by associating words and phrases with the contents of an image. The concept of 'artificial general intelligence' (AGI) refers to software that can exceed human capabilities in any task, but many experts believe it may not be possible or would require resources beyond our current capabilities.