Which of the following statements best describes the contributions of GPT-3 to the development of Transformer models while also addressing ethical considerations in AI?

GPT‑3 showed that scaling a Transformer to billions of parameters can dramatically improve language understanding and generation, proving that larger models can learn many tasks with little fine‑tuning. It also highlighted that such power can amplify existing biases, making it clear that ethical audits and fairness checks are essential parts of model development. Researchers use GPT‑3’s performance as a benchmark for new architectures while simultaneously studying how to mitigate misuse and privacy risks. For example, a single GPT‑3 prompt can produce a convincing news article, but the same prompt can also generate harmful misinformation, illustrating the need for responsible deployment. This dual legacy encourages both technical progress and a rigorous ethical framework.