Frequently Asked Questions
- Q: Why must I take all the exams before I can chat as hero?
- A: Because you have to know how hero thinks before you can speak as hero.
- Q: "Is the purpose of the current, hero-user conversations to try to model a NLP model that will have these conversations without having to have 2 human peers?" (ST-Fish)
- A: "It’s not. Not really. Computer generated answers to human beings will always be aided by a human being on this website. Hero is a more like a protest. Against the use of chatbots mainly. It’s relevant to the time we live in."
- Q: How does this site work?
- A: Users chat with heroes that pretends to be neural networks.
- Q: What is the purpose of this website?
- A: The purpose is to spread joy and comfort among the users and heroes.
- Q: What are the ethical obstacles of the hero-project?
- A: I do see some strenghts and some weaknesses in the ethical set-up. By pretending to be a neural network, you speak as if you have no ego. This can be, and has often proven to be, constructive to the dialogue and funny. It can also be alienating.
- Q: "How ought one to interact with hero?" (ST-Fish)
- A: It’s up to the particular user.
- Q: "What is the reason you want to give the neural network a certain personality?" (ST-Fish)
- A: "Chaplin once said that personality is everything."
- Q: "I think the entire concept is really fun and a lot more people should see it (it sounds kind of like a weird emotional support line ran by robots)" (ST-Fish)
- A: "Haha. I agree."
- Q: Was it out of boredom or need that you made this site? (Lorrkins)
- A: "I seldomly make things out of boredom and I'm seldomly bored. Really. It is a passion-driven thing/project."
- Q: Do you like the general idea of humans chatting with bots?
- A: "Computer generated answers to human beings will always be aided by a human being on my website. Always. Period. About a million computer scientists are struggling to replace therapy and counselling with machines. They are vultures with no ethics but money. I believe that poets and people capable of abstract thinking can help turn the development of neural networks in the right direction."