The findings have led to a reality check in the AI field, with experts cautioning against overhyping the imminent arrival of AGI. While transformers are advanced technology, their limitations highlight the need for more advanced forms of AI that can better generalize tasks. Despite these limitations, some experts believe transformers can still be useful if trained and aligned properly.
Key takeaways:
- Google researchers have found that transformers, the technology behind AI, struggle with generalizing tasks that are outside of their pre-training data.
- This finding presents a challenge for those aiming to achieve artificial general intelligence (AGI), which is AI that can perform any task a human can do.
- Experts suggest that the hype around AGI should be tempered, as current AI technology is still far from achieving this level of intelligence.
- Despite these findings, some experts believe that more advanced forms of AI may be better at generalizing, and that transformers can still be useful if trained properly.