Two guys*
CommanderCloon
joined 2 years ago
Shorts fucking suck. It keeps recommending to me exactly four types of videos:
- stuff I have already watched, liked and commented -- sometimes a few minutes prior
- videos I'm wildly uninterested with and systematically mark as irrelevant or instantly skip, yet it keeps bringing up videos of the same subject
- very old old "news" shorts
- stuff of people I'm subscribed to -- which is fine, just not what makes great algorithms
Meanwhile, in a very short time, tiktok has managed to make me discover communities I had no idea I'd like to watch content from, while subtly managing to stop showing me some of the content from those communities I don't enjoy
That law does not cover the owners if we can prove they put an unseaworthy vessel to work and we can prove they knew of its unseaworthiness
An israeli soldier kicked a Palestinian flag. It was trapped lol
No worries, I appreciate your apology
Fuck anyone portraying israel as a victim.
I don't know which kinds of AIs you've worked on but my description (although using the incorrect terms) is certainly valid. I've described how GANs work, I'm not pulling this out of thin air 🤷♂️
The generative network generates candidates while the discriminative network evaluates them. The contest operates in terms of data distributions. Typically, the generative network learns to map from a latent space to a data distribution of interest, while the discriminative network distinguishes candidates produced by the generator from the true data distribution. The generative network's training objective is to increase the error rate of the discriminative network (i.e., "fool" the discriminator network by producing novel candidates that the discriminator thinks are not synthesized (are part of the true data distribution)).
So yes, whichever method you design which allows the product of an AI to be detected can be used by a discriminative network for a GAN, which defeats the purpose of designing the method to begin with
You don't understand that tech; when making an AI model, you do code both a generator of whatever it is you want to make, as well as a "detector" which tells you whether or not the result is convincing.
Then you change the genertor slightly based of the results of the "detector"
You do that a few million times and then you have a correct AI model, the quality of which is dependant on both the quantity of training and the "detector".
If someone comes up with a really strong "detector", they will do work as intended for a few days/weeks, and then AIs will come on the market which will be able to fool the detector
Irrelevant, embassies are internationally protected sanctuaries.
There were multiple producers, evidence will determine the shared responsibility of each of them
You made a typo in your original comment