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Perhaps some sort of adversarial network approach could work better; models that learn to generate text and other models that try to distinguish AIs from humans
by not2b 4y ago
Perhaps some sort of adversarial network approach could work better; models that learn to generate text and other models that try to distinguish AIs from humans, competing against each other. Also, children learning language benefit from constant feedback from people who have their best interest at heart ... that last part is important because of episodes like Microsoft's Tay where 4chan folks thought it would be fun to turn the chatbot into a fascist.
- ronsor 4y agoI think OpenAI has already published some research showing humans preferred smaller/fewer parameter models that were "better trained" through the use of human feedback. If there were a model that could adequately replace the role of the human, then that approach would probably work well.
- charcircuit 4y agoPassing the Turing test isn't the goal. You can have a useful model that isn't human like and can have a useless model that you can't tell isn't a human.
- not2b 4y agoCertainly. Approaches that have done better on the Turing test have used various tricks to avoid their lack of understanding, like playing a paranoid person. But some of the best chatbots give themselves away by getting stuck in a loop or demonstrating lack of basic intuition about the world that a three year old would have. Those things perhaps could be caught.