Over the past year, artificial intelligence has emerged as a prominent and widely discussed subject. It is no longer merely a buzzword, but rather a practical tool that we can actively employ. Revolutionary platforms such as ChatGPT and Midjourney are transforming the functioning of our world. However, the advancement of AI also raises significant and profound inquiries. Will AI supersede human capabilities? Does it pose a threat to humanity's existence? What about the potential job displacement caused by AI? If you share these concerns, watch this video by Dhruv Rathee, where he delves into the realities of artificial intelligence, offering insights and answers to these pressing questions.
The field of AI research was born at a workshop at Dartmouth College in 1956.[d][23] The attendees became the founders and leaders of AI research.[e] They and their students produced programs that the press described as "astonishing":[f] computers were learning checkers strategies, solving word problems in algebra, proving logical theorems and speaking English.[g][26] By the middle of the 1960s, research in the U.S. was heavily funded by the Department of Defense[27] and laboratories had been established around the world.[28]
Researchers in the 1960s and the 1970s were convinced that their methods would eventually succeed in creating a machine with artificial general intelligence and considered this the goal of their field.[29] Herbert Simon predicted, "machines will be capable, within twenty years, of doing any work a man can do".[30] Marvin Minsky agreed, writing, "within a generation ... the problem of creating 'artificial intelligence' will substantially be solved".[31]
They had failed to recognize the difficulty of some of the remaining tasks.[h] Progress slowed and in 1974, in response to the criticism of Sir James Lighthill[33] and ongoing pressure from the US Congress to fund more productive projects, both the U.S. and British governments cut off exploratory research in AI. Early research into artificial neural networks was discredited by Minsky's and Papert's book Perceptrons, which was perceived as proving that this technology would never work.[34] The next few years would later be called an "AI winter", a period when obtaining funding for AI projects was difficult.[5]
