I think ai "discoveries" will be the perfect way whitehats can release hidden tech in the future. They will just say ai helped us figure it out.

This ai "discovery" process is already starting to happen:

From EV batteries to solar cells to microchips, new materials can supercharge technological breakthroughs. But discovering them usually takes months or even years of trial-and-error research.

Google DeepMind hopes to change that with a new tool that uses deep learning to dramatically speed up the process of discovering new materials. Called graphical networks for material exploration (GNoME), the technology has already been used to predict structures for 2.2 million new materials, of which more than 700 have gone on to be created in the lab and are now being tested.

https://www.wired.com/story/an-ai-dreamed-up-380000-new-materials-the-next-challenge-is-making-them/

And its also already being used in the medical field.

https://www.mobihealthnews.com/news/contributed-nine-revolutionary-ways-ai-advancing-healthcare

I think ai "discoveries" will be the perfect way whitehats can release hidden tech in the future. They will just say ai helped us figure it out.

This ai "discovery" process is already starting to happen:

From EV batteries to solar cells to microchips, new materials can supercharge technological breakthroughs. But discovering them usually takes months or even years of trial-and-error research.

Google DeepMind hopes to change that with a new tool that uses deep learning to dramatically speed up the process of discovering new materials. Called graphical networks for material exploration (GNoME), the technology has already been used to predict structures for 2.2 million new materials, of which more than 700 have gone on to be created in the lab and are now being tested.

https://www.wired.com/story/an-ai-dreamed-up-380000-new-materials-the-next-challenge-is-making-them/