In a world of robotization, artificial intelligence and constant evolution, art develops in harmony with these systems. With a complexity of information, a unique creation emerges.
In 1955, on the occasion of a conference taking place at the Dartmouth College in Hanover (USA), John McCarthy and Marvin Minsky first developed that concept [1]. AI consists in developing sets of algorithms and computer programs that would be able to perform actions usually done by humans. The goal is to endow a machine, a "robot", with functions peculiar to living beings, such as memory and rationality, but also perception and reasoning.
Human is both a conscious and enlightened being, which « enable him to feel its own existence, to be present in himself, to himself », therefore being aware of his actions. But also being endowed with consciousness in the moral sense of it, capable « to pass immediate normative judgments, and having intuitive knowledge on the moral value of his actions, all based on the distinction of good and evil".
The performance of the machines is essentially focused on their regularity, on the high accuracy of the smallest details of their programming according to an order strictly predetermined. And it is precisely there that their weaknesses lie, as Edgar Morin points out: “Their determinism and their unconditional obedience to a binary logic make them unfit to deal with randomness and hazard”.
Note: This isn’t in any way, the exact description of an artificial consciousness intelligence, but only a fiction written and set up in a way to strive to shed light on its nature.
It's all about learning. In the human brain, the learning process is linked to what are called synapses which ensure the connections between neurons. To reduce the computing power of its neural networks, the machine would have to learn and store its experience. And in this field, the creation of artificial synapses is a major advance.
“A year spent in artificial intelligence is enough to make one believe in God.” —Alan Perlis
The purpose of artificial intelligence is to clone the cognitive abilities of a human being, hoping to reach the final goal to encompass the awareness, so far considered specific to humans or at least to the most evolved animal species[2]. As it is still difficult to define, consciousness divides the scientific community on the possibility to integrate it or not into machines. Indeed, “artificial” and “consciousness” are a strong paradox, that are impossible for some people to link.
“Current machines still primarily implement calculations that reflect unconscious processing in the human brain”.
Even if scientific and technological progress could envision it, artificial intelligence is far from possessing a conscience in the sense that we understand it: an entity able to reflect on itself, to include emotions in the rational decision-making, etc. 7 million years of human brain evolution could hardly be replaced by algorithms, no matter how elaborate they are. However, another form of “consciousness”, more and more evolved, could very much emerge and come into being in a near future [3] .
“By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.” —Eliezer Yudkowsky
ChatGPT[4] was created by OpenAI, an AI and research company. The company launched ChatGPT on November 30, 2022.
ChatGPT is a natural language processing tool driven by AI technology that allows you to have human-like conversations and much more with the chatbot. The language model can answer questions and assist you with tasks, such as composing emails, essays, and code.
ChatGPT works through its Generative Pre-trained Transformer, which uses specialized algorithms to find patterns within data sequences. ChatGPT uses the GPT-3 language model, a neural network machine learning model and the third generation of Generative Pre-trained Transformer. The transformer pulls from a significant amount of data to formulate a response.
ChatGPT uses deep learning -- a subset of machine learning -- to produce humanlike text through transformer neural networks. The transformer predicts text, including the next word, sentence or paragraph, based on its training data's typical sequence.