Altman believes that the trend toward larger and larger models is unsustainable and will eventually hit a limit.
Altman explains that giant AI models require a tremendous amount of computing power and data to train.
This makes them extremely expensive to develop and difficult to maintain. In addition, larger models can be less interpretable and more prone to errors than smaller ones.
According to Altman, the future of AI will involve a shift towards more efficient models that are smaller, faster, and cheaper to develop.
This will require a focus on developing new algorithms and techniques that can achieve similar performance with fewer parameters.
As AI becomes more widespread, Altman stresses the importance of responsible development and deployment.
He believes that AI should be used to improve people's lives and solve real-world problems, rather than simply for the sake of creating ever more impressive technology.