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Yup, you nailed it. It's robots making "content" for other robots to "watch" in order for yet more robots to auto-magically-bid on ads to show that second set o
by CPLX 10y ago
Yup, you nailed it. It's robots making "content" for other robots to "watch" in order for yet more robots to auto-magically-bid on ads to show that second set of robots so the people who own the first set of robots can make a little bit of money.
- r00fus 10y agoThe future of our finance (as predicted by Charlie Stross): by robots, of robots, for robots. If it reads like the "America InAction" definition of Corporate Robotocracy, feel good that it's least a more likely dystopian future than nuclear holocaust.
- visarga 10y agoThis is strangely similar to generative adversarial training in neural nets. They are composed of a generator and a discriminator. The generator has the purpose to generate examples that fool the discriminator and vice-versa. They improve together, iteratively. It's a smart approach but has stability problems in training, because both the generator and the discriminator have to be balanced. Maybe they could try to apply this kind of technique to improve their auto-generated articles to the point where they can't be distinguished from those created by humans, and at the same time, fool the FB bots which filter the feeds.