OpenAI, developer of ChatGPT and a leading innovator in the field of artificial intelligence (AI), was recently thrown into turmoil when its chief-executive and figurehead, Sam Altman, was fired. As it was revealed that he would be joining Microsoft’s advanced AI research team, more than 730 OpenAI employees threatened to quit. Finally, it was announced that most of the board who had terminated Altman’s employment were being replaced, and that he would be returning to the company.
In the background, there have been reports of vigorous debates within OpenAI regarding AI safety. This not only highlights the complexities of managing a cutting-edge tech company, but also serves as a microcosm for broader debates surrounding the regulation and safe development of AI technologies.
Large language models (LLMs) are at the heart of these discussions. LLMs, the technology behind AI chatbots such as ChatGPT, are exposed to vast sets of data that help them improve what they do – a process called training. However, the double-edged nature of this training process raises critical questions about fairness, privacy, and the potential misuse of AI.
