What can we take away from the ‘stochastic parrot’ saga? In early 2023, the tech community was swept up in a heated debate about artificial intelligence ethics, centered around a series of tests conducted by the LionsOps organization on Meta's large language model, Galactica. These tests exposed a significant number of factual errors and potential dangers in the model's generated text, including instances of racial and gender discrimination. The findings sparked widespread concern and ultimately led Meta to halt public access to Galactica. This incident highlights the ethical challenges that large language models face during development and deployment. Despite significant advancements in natural language processing, these models are still prone to issues stemming from their training data and algorithm design. Biased training data can lead to the generation of discriminatory and misleading content, which not only undermines the model's reliability and utility but also raises serious social and legal risks. To address these challenges, experts have recommended several strategies. First, there is a need for stricter scrutiny of training data to ensure it is diverse and balanced. Second, increasing transparency about how these models operate can help both the public and researchers better understand the technology. Additionally, implementing more rigorous safety testing can prevent harmful content from being generated. Lastly, fostering interdisciplinary collaboration by incorporating knowledge from fields such as ethics and law into the AI development process can help align technological progress with societal interests. The term ‘stochastic parrot’ vividly captures the concern that these models might merely mimic human speech without true understanding. This metaphor serves as a stark reminder that the development of AI should not focus solely on technical achievements but must also include ethical, social, and legal considerations. By ensuring that technology is developed responsibly and with oversight, we can promote its safe and sustainable growth, ultimately benefiting human society.