In a personal blog post by Sam Altman, CEO of OpenAI, he expressed his confidence in the company's transition from traditional understandings of "how to build AI" towards the goal of achieving "superintelligence." Altman stated in the article, "We are proud of our current products, but we exist for an even more brilliant future." He firmly believes that superintelligent tools will significantly accelerate scientific discoveries and innovations, surpassing human capabilities and driving societal prosperity.
Previously, Altman had predicted that superintelligence could arrive within "a few thousand days," with impacts far more "dramatic" than people imagine. This prediction has sparked considerable attention and discussion.
Regarding superintelligence, or AGI (Artificial General Intelligence), while the term is somewhat vague, OpenAI defines it as highly autonomous systems that can outperform humans in most economically valuable tasks. Additionally, OpenAI and its partner, investor Microsoft, have set a specific goal for AGI: an AI system capable of generating at least $100 billion in profits. According to agreements between the two companies, when OpenAI achieves this goal, Microsoft will lose access to its technology.
So, which definition of superintelligence is Altman referring to in his article? He does not specify, but based on the context, the former definition seems more fitting. Altman further elaborates that AI agents—autonomous systems capable of completing certain tasks—may join the workforce to some extent and substantially alter company outputs this year.
However, Altman acknowledges the significant limitations of current AI technologies. He notes, "AI may generate hallucinations and obvious errors that anyone can spot, and it can be very expensive." Nevertheless, he remains confident: "We still believe that gradually providing excellent tools to people will yield great, widespread results."
These viewpoints not only highlight OpenAI's unwavering belief in the future of superintelligence but also reflect Altman's clear understanding of the current limitations of AI technology.