The recent employment saga of Sam Altman and speculation about OpenAI’s groundbreaking Q* model have sparked renewed interest in the possibilities and risks of artificial general intelligence (AGI). While deep learning has gained popularity and is believed to play a crucial role in achieving AGI, it also has limitations in its ability to handle uncertainty and adapt to new phenomena. This raises the question of whether current AI developments are truly leading towards AGI.
