Nvidia's CEO, Jensen Huang, addressed these concerns at the company's annual GTC developer conference. He suggested that predicting when AGI will be achieved depends on how it is defined. If AGI is defined as a set of tests where a software program can perform significantly better than most people, Huang believes it could be achieved within five years. However, he is unwilling to make a prediction unless the questioner is very specific about what AGI means in the context of the question.
Key takeaways:
- Artificial General Intelligence (AGI) is a future leap in AI that will be able to perform a broad spectrum of cognitive tasks at or above human levels, unlike narrow AI which is tailored for specific tasks.
- There are concerns about the unpredictability of AGI's decision-making processes and objectives, which might not align with human values or priorities, and the potential impossibility to contain or control it once it reaches a certain level of autonomy and capability.
- Nvidia's CEO, Jensen Huang, argues that predicting when we will see a passable AGI depends on how you define AGI.
- Huang believes that if AGI is specified to be something very specific, like a set of tests where a software program can perform very well, we could get there within 5 years.