Human-like AI versus Human-centric AI Technologies
A rtificial Intelligence (AI) is once again making headlines following the release of OpenAI’s ChatGPT-4 and its ilk. Featuring improved relevance of results and better mimicry of human-like responses compared to its predecessors, ChatGPT-3 reached over 100 million users in its first two months. Keen explorers quickly set out to test the accuracy of the system, experimenting for a wide range of purposes, such as writing articles, business strategies, travel itineraries, movie scripts, and conversations.
Although the feedback on the quality of the resulting text is mixed – journalists have been quick to point out ChatGPT’s lack of depth and substance, whilst programmers have noted its impressive ability to create fairly accurate code – an overwhelmingly concern has arisen that the technology is going too far, too fast, too soon, and without clarity on the damage it could do. OpenAI responded swiftly with GPT-4, an improved and self-acclaimed “safer” version; but tech leaders including Elon Musk remained skeptical and consequently have called for a
“pause on the development and testing of AI technologies more powerful than OpenAI’s language model GPT-4 so that the risks it may pose can be properly studied.”
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