If you have domain expertise you would agree with us that, despite not being AGI, as it is now, deep learning, reinforcement learning, generative AI are an incredible creation of humanity, that, among other things, are capable already of:

1. solving long standing scientific challenges such as protein folding,
2. able to take independent decision and develop strategies that, on specific tasks, surpass human experts
3. Able to map human languages and art in high dimensional vector spaces where concepts and relationships are retained as properties of the spaces, allowing to perform math and statistical inference on things that few decades ago not many people would have guessed a mathematical representation was even possible.

On top of this we already give for granted all the current already existing application, such as image recognition, translation…

You would also agree with us that the potential of current AI methodologies in all field of science and technology is already enormous, as demonstrated by alphafold for instance. We just need few more years to see even more groundbreaking applications.