The article also covers the issue of AI hallucinations, where some AIs generate plausible but factually incorrect answers. Huang suggests this issue can be solved by ensuring AI systems research their answers thoroughly, a practice he refers to as 'Retrieval-augmented generation.' For critical answers, such as health advice, Huang recommends checking multiple resources and known sources of truth. He also emphasizes that AI systems should have the option to admit when they do not know the answer to a question.
Key takeaways:
- Artificial General Intelligence (AGI) represents a significant future leap in the field of artificial intelligence, capable of performing a broad spectrum of cognitive tasks at or above human levels.
- CEO of Nvidia, Jensen Huang, believes that predicting when AGI will be achieved depends on how it is defined and measured.
- Huang suggests that if AGI is defined as a software program that can perform specific tests better than most people, it could be achieved within 5 years.
- Huang also addressed the issue of AI hallucinations, suggesting that they can be solved by ensuring that AI systems research their answers and cross-check them with multiple sources.