A negative/positive feedback loop, depending on what you consider negative or positive.

I'd go negative, with the y axis being "useful". Negative feedback loops all go to zero.

Language processing differs from games like chess because with chess you can definite a clear metric of quality. If you can define such a metric, AI models can learn from themselves and have a near-infinite positive feedback loop. See AlphaGo etc.