Noam Brown, who leads AI reasoning research at OpenAI, says certain forms of “reasoning” AI models could’ve arrived 20 years earlier had researchers “known [the right] approach” and algorithms. “There were various reasons why this research direction was neglected,” Brown said during a panel at Nvidia’s GTC conference in San Jose on Wednesday. “I noticed […] © 2024 TechCrunch. All rights reserved. For personal use only.
OpenAI's Noam Brown believes certain AI reasoning models, similar to his game-playing AI work at Carnegie Mellon, could have been developed 20 years ago with the right approach, despite reasons for past neglect. He highlighted the importance of "test-time inference" and collaboration between academia and labs like OpenAI, particularly in areas like model architecture design and AI benchmarking, which don't require extensive computing resources. He also noted concerns about the impact of cuts to scientific grant-making on AI research.
