Abstract:
The last five to 10 years have seen significant change, with the evolution of AI and its increasing applications in every field. While there is optimism for an overall net positive business impact and betterment of society, it is counter-balanced by pessimism linked to the impact on the role of humans and the depreciating value being placed on human effort. This has been the narrative for a while, at least the last five or so years, when machine learning, neural networks and other advancements were gaining ground. With the introduction of ChatGPT in November 2022 (at the time of writing this paper, ChatGPT is still less than two years old!), the reality is even more accelerated. In this short period of time, the world does seem a very different place; it is as if we could demarcate a BC (before ChatGPT) and AC (after ChatGPT) eras. While GPTs were not necessarily new and have been around since June 2018, the democratisation of access truly happened with the chat interface. Now anyone can enter a few lines of conversational text to generate outcomes. This chat functionality has then transcended mere text outputs, and we have text-to-image and text-to-video generating tools, whose quality of outputs is improving by leaps and bounds. They might not be there yet, but they are fast getting there.
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