OpenAI CEO, Sam Altman, spoke to Wired about how the era of giant artificial intelligence models has likely already ended. He also talks about how the trend of building larger and larger artificial intelligence models is probably not sustainable long term, as there are problems with cost, energy consumption, and environmental impact being the main concerns.
From Altman's point of view, smaller and more efficient models could be the solution, as they can more easily be tailored for specific tasks. These smaller models can also be easier to train, more flexible, and potentially even outperform larger models.
His comments come over growing concerns about the environmental impact of these larger models. Needing great amounts of both computing power and energy when training and running, these large models' carbon footprint has quickly become a serious issue in recent years.
There are also practical limitations to the size of these artificial intelligence models; as they get larger, they become increasingly difficult to train and use. Altman believes smaller models can give a more practical and sustainable approach to developing artificial intelligence technology.
Despite these concerns, OpenAI's CEO is still optimistic about the future of artificial intelligence. Smaller models are a wonderful potential for innovation and progress opportunities in the field.
And, as technology continues to evolve, it's interesting to see how developers and researchers are adapting to new challenges and opportunities.
