The Convergence of Technology and Data

Relying on people to guide machine learning models ensures their proper behavior and accuracy in outputs, highlighting the importance of human oversight in AI development. The simultaneous emergence of advanced data, powerful GPUs, and transformer architectures is a remarkable phenomenon, driven by key technological advancements. Improved and cost-effective transistors made personal computers widely accessible, which led to the need for internet connectivity. The rise of the internet generated vast amounts of data, while GPU technology evolved, originally driven by gaming, to become applicable for complex computations such as neural networks. This convergence illustrates how interconnected technological progress can synergistically foster advancements in AI.