Catch up on Alex Kantrowitz videos in minutes

Demis Hassabis states that Google DeepMind never questioned the progress of AI, despite concerns about data running out. He argues that there's still room to improve existing architectures and data through tweaking and innovation in pre-training, post-training, and thinking paradigms. This suggests that current AI models have not yet reached their full potential, and further advancements are possible with existing techniques.