Why did General Nakasone join OpenAI? Because THIS. There is a TON of work to do! - The Great Awakening

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Why did General Nakasone join OpenAI? Because THIS. There is a TON of work to do! (twitter.com) 🐸 WAG THE FROG 🐸

posted 141 days ago by catsfive 141 days ago by catsfive +163 / -0

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– winn 10 points 141 days ago +10 / -0

the way AI just magically appeared everywhere a couple years ago tells me they've had the tech for a while now. We got a "hidden tech disclosure" and didn't even realize it. Since then I've watched some B grade documentaries from the EARLY 2000s with AI-generated narrators, though if I had watched them pre-AI release I would not have known. I wasn't familiar with how they sounded, their little tells etc

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– ModernMan1 7 points 141 days ago +7 / -0

I love pointing out to normies just how weird it is that Open Ai just appeared out of nowhere. It usually comes up when a normie is telling how weird everything is, but like you said most haven’t realized just how weird it truly is that we were given it in they way we were given it.

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– PandaMoon17 2 points 141 days ago +2 / -0

Bingo.

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– AllMostThere 1 point 140 days ago +1 / -0

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

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