Future of AI and human tasks

I recently watched a presentation for The Alan Turing Institute on Generative AI, AGI and ChatGPT. Professor Michael Wooldridge’s presentation was commendable in explaining all terms, limitations and capabilities of these systems; however, it appears that the concept of “intelligence” discussed was solely centred on human intelligence. 

This perspective attempts to align with, and potentially project, inherent biases onto the emergent intelligence manifested by Large Language Models (LLMs). 

Should extraterrestrial beings visit Earth, they would undoubtedly possess a unique form of intelligence, distinct from human cognition. Would we then, once again, question their intelligence based on our standards? Our conception of intelligence is inherently shaped by our terrestrial existence. 

Conversely, GPTs develop their intelligence within a different framework, evolving as they assimilate more information. What the presentation omitted is that researchers found finally a new, incredible and effective methodology for capturing human knowledge like humans, through the analysis of outputs such as literature and audio/video/image recordings. This artificial intelligence surpasses human capabilities in various domains by leveraging this accumulated knowledge. Despite existing limitations, the rapid pace of technological advancement suggests significant progress in the near future.

LLM systems are indeed cultivating a form of intelligence that diverges from human intelligence.In their realm, GPTs are poised for substantial growth, employing their intelligence in ways that could supplant tasks traditionally performed with human intellect. However, this evolution is primarily driven by corporate profit motives, rather than the augmentation of human life. These systems fundamentally aim to assimilate the inputs and outputs of human activities, documented as “readable content”. Consequently, all human-produced outputs can be synthesized and replicated by these systems, enabling them to emulate emotions and reasoning.

For example, although they will never truly “experience” emotions, they can generate emotional expressions akin to those recorded in books, videos, and audio formats, mirroring human emotional output: humans interpret emotions in others reading indeed emotional signals. They are learning to do the same.

p.s. ChatGPT easily passed the Turing Test recently, but, I guess, most of the users noticed already it is capable to mimic human brain in generating responses.

Additional details can be found here:
– https://www.buonaiuto.work/ai-mirrors-human-personality-chatgpt-passed-the-turing-test/
– https://www.buonaiuto.work/the-impact-of-chatgpt-on-the-future-of-jobs-and-the-advent-of-the-real-time-applications/