Recently, OpenAI artificial intelligence reasoning expert Norm Brown expressed concerns about the excessive hype about AI on social media. He believes that although the field of AI has made significant progress, there are still many unsolved mysteries and challenges that need to be overcome. "Superintelligence" is not a goal that OpenAI has achieved so far. Brown’s views contrast with the optimistic predictions of other researchers within OpenAI, triggering people to think about the current status and future direction of AI development. This article will provide an in-depth analysis of Brown’s views, explore its differences with other views within OpenAI, and interpret its significance in the development of AI.
On social media, Noam Brown, an expert in artificial intelligence reasoning at OpenAI, said that there is currently a lot of "vague hype" about artificial intelligence, which has attracted his attention. While he acknowledged that progress in the field of artificial intelligence brings optimistic prospects, he also pointed out that there are still many research problems that need to be solved and emphasized that OpenAI has not yet achieved so-called "superintelligence."
Brown's statement is in sharp contrast to some recent views within OpenAI. In January, OpenAI researcher Stephen McAleer said: "I kind of miss the time in AI research when we didn't know how to create superintelligence." This suggests that OpenAI may have found a way to A clear path to artificial superintelligence (ASI).
Before joining OpenAI, Brown worked at Facebook Artificial Intelligence Research (FAIR), where his research focused on developing artificial intelligence systems that can beat human players in complex games such as poker and diplomacy. His research on the poker AI "Libratus" explored the concept of "test-time compute" and showed that increasing AI calculation time can improve game strategies.
Brown later introduced these concepts into OpenAI and applied them to the development of language models. The company's latest o1 model is based on this idea, opening up a new development direction by increasing "thinking time" rather than just improving training performance. He believes this alternative scaling approach will enable the emergence of new AI capabilities, noting: "Scaling in this area is still in its early stages."
Brown’s perspective reminds us that although the prospects of artificial intelligence are exciting, we cannot ignore the limitations and challenges that still exist in the development of current technology.
Highlight:
Norm Brown pointed out that the AI hype on social media is too vague and emphasized that there are still many research questions to be solved.
Brown contradicted other OpenAI researchers by emphasizing that the company has not yet achieved superintelligence.
Brown mentioned expanding AI capabilities through "thinking time" and believed that there is still a lot of room for development in this area.
All in all, Brown's views provide sober thinking for the current development of the AI field. While enjoying the convenience brought by the advancement of AI technology, we should also keep a clear head, face the limitations of technological development, avoid blind optimism and excessive hype, and promote the healthy and sustainable development of AI technology.