A small but growing number of artificial intelligence developers at OpenAI, Google and other companies say they’re skeptical that today’s technical approaches to AI will achieve major breakthroughs in biology, medicine and other fields while also managing to avoid making silly mistakes.

That was the buzz last week among numerous researchers at the Neural Information Processing Systems conference, a key meetup for people in the field. Some of them believe that developers must create AI that continues gaining new capabilities after it’s developed, mirroring the way humans learn. This type of continual learning hasn’t yet been discovered in the AI field.