thanks!

there is so much stuff to learn!

but that information is hard to retrieve

that makes sense!

In theory, can I use the discriminator of the GAN for this?

It will look at a weird picture and say: this looks fake?

thank you for the detailed answer!

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“GANs indeed learn to generate samples from the data distribution.”

So GANs do have estimation capabilities? Can I use the trained discriminator to detect anomalous images? I guess the discriminator should mark them as “fake” due to not being prevalent in the dataset?

I am slightly confused.

So, Sam Altman and collegues discovered a very powerful thing called Q*. This will make OpenAI very powerful and will make the board a lot of money.

So, why did this cause the board to fire him?

From the article, it seemed like the board was too afraid of Q* and fired him to stop it being released without proper security features.

Could someone please help clarify this?

Thanks.