We propose a multi-agent framework for modeling artificial consciousness in large language models (LLMs), grounded in psychoanalytic theory. Our \textbf{Psychodynamic Model} simulates self-awareness, preconsciousness, and unconsciousness through agent interaction, guided by a Personalization Module combining fixed traits and dynamic needs. Using parameter-efficient fine-tuning on emotionally rich dialogues, the system was evaluated across eight personalized conditions. An LLM as a judge approach showed a 71.2\% preference for the fine-tuned model, with improved emotional depth and reduced output variance, demonstrating its potential for adaptive, personalized cognition.

Human consciousness is still a concept hard to define with current scientific understanding. Although Large Language Models (LLMs) have recently demonstrated significant advancements across various domains including translation and summarization, human consciousness is not something to imitate with current upfront technology owing to so-called hallucination. This study, therefore, proposes a novel approach to address these challenges by integrating psychoanalysis and the Myers-Briggs Type Indicator (MBTI) into constructing consciousness and personality modules. We developed three artificial consciousnesses (self-awareness, unconsciousness, and preconsciousness) based on the principles of psychoanalysis. Additionally, we designed 16 characters with different personalities representing the sixteen MBTI types, with several attributes such as needs, status, and memories. To determine if our model's artificial consciousness exhibits human-like cognition, we created ten distinct situations considering seven attributes such as emotional understanding and logical thinking. The decision-making process of artificial consciousness and the final action were evaluated in three ways: survey evaluation, three-tier classification via ChatGPT, and qualitative review. Both quantitative and qualitative analyses indicated a high likelihood of well-simulated consciousness, although the difference in response between different characters and consciousnesses was not very significant. This implies that the developed models incorporating elements of psychoanalysis and personality theory can lead to building a more intuitive and adaptable AI system with humanoid consciousness. Therefore, this study contributes to opening up new avenues for improving AI interactions in complex cognitive contexts.

Americans who were part of'gifted and talented' education programs in the 1980s and 1990s believe they were part of a secret government intelligence program. The Gifted And Talented Education program (GATE) provides students with advanced curriculum and activities to foster creativity and critical thinking skills. But many former students believe they were actually part of a secret CIA initiative to test the supernatural abilities of children with above average intelligence. One woman, who claimed to be part of the program in the 1990s, shared a workbook she purportedly used during class, showing she was cracking codes and learning Russian. 'The stuff I found in there -- I'm like, what were you training us for?' she said. Some former GATE students argued that the program was tied to the CIA's Gateway Program that was developed in the 1980s to explore the limitations of human consciousness using sound, meditation and other techniques.

While they looked simple, their sharp edges were excellent for cutting objects and digging holes. It's unknown exactly how this occurred. But clearly, the transition from knowing how to use tools to learning how to build them was a significant cognitive leap, one that required advanced imagination and reasoning. This capacity is one of the things that most differentiates humans from animals. And today, it is what separates humans from robots… at least, for the time being.

As artificial intelligence travels through the solar system and gets to explore the heliosphere (enclosing the planets), it will adapt by making decisions that enable it to do its job. Many people in the field of astrobiology are in favour of the so-called post-biological cosmos vision. Is it because of the desire to conquer space that we humans are sowing the seeds of our own destruction in favour of artificial intelligence? Or are we unconsciously following some sort of master plan in which flesh and blood beings are destined to become extinct and be hybridised by silicon and synthetic materials? As for the mind, memory, consciousness, could there also be a place for humans in a robot's brain?

The Turing test was developed in 1950 by Alan Turing, and it served the purpose of identifying a machine's level of intelligence and how'human' it can sound, which is done by evaluating a text conversation between a human judge and a machine.[1] Alan Turing predicted that, by the year 2000, computers with as little as 100 megabytes of memory would be able to pass the Turing test with ease and thus be able to replicate human consciousness.[2] This could have be a well-placed prediction, considering the pace of technological developments during his lifetime. Indeed, over the years, digital programs created to establish small talk and generate human-like responses to questions have actually come remarkably close to passing the Turing test in an to attempt to resemble human consciousness (HC). However, Turing's prediction was not entirely accurate in the long run and failed to factor in the technical limitations and other problems that come with compacting computer processing power, which is why although artificial intelligence has been around for a long time, it has yet to truly reach its pinnacle and pass the Turing test to generate responses indistinguishable to human responses and successfully replicate human consciousness.

Constructing humanlike artificial intelligence often starts with deconstructing humans. Take fingerprints: When holding soapy dishes, we intuitively adjust our grip based on our fingerprint structure. It just doesn't cross our mind, because we chalk it up to reflex – and for the longest time, so did scientists. No one had any equations to unravel how this works because, well, it didn't matter much. But the rise of robotics has complicated things.

At the age of 98, former Secretary of State Henry Kissinger has a whole new area of interest: artificial intelligence. He became intrigued after being persuaded by Eric Schmidt, who was then the executive chairman of Google, to attend a lecture on the topic while at the Bilderberg conference in 2016. The two have teamed up with the dean of the MIT Schwarzman College of Computing, Daniel Huttenlocher, to write a bracing new book, The Age of AI, about the implications of the rapid rise and deployment of artificial intelligence, which they say "augurs a revolution in human affairs." The book argues that artificial intelligence processes have become so powerful, so seamlessly enmeshed in human affairs, and so unpredictable, that without some forethought and management, the kind of "epoch-making transformations" they will deliver may send human history in a dangerous direction. Kissinger and Schmidt sat down with TIME to talk about the future they envision. Kissinger: When I was an undergraduate, I wrote my undergraduate thesis of 300 pages--which was banned after that ever to be permitted--called "The Meaning of History."

Without a doubt, neuroscience holds vast scientific information about human consciousness as researchers over the years have tackled issues such as: how consciousness correlates with neural knowledge, the computational phenomenon achieved through consciousness, the theory of a global workspace, and the model of consciousness postulated by Damasio. Biologically he created a plausible model on consciousnesses as he had assigned all stages of consciousness to specific structures in the brain and associated them with respective functions. Tapping into the bedrock of discoveries made by neuroscience, artificial intelligence hosts many theories on consciousness, obviously from Damasio's Machinist point of view. However, virtually all algorithms investigated to create self-conscious machines have toed the line of a global workspace model of consciousness, which may be likened to a mechanical model. Unfortunately, due to widespread belief among the scientific community that human consciousness will never be simulated on a computer due to the infancy of AI ideas, there's a lackadaisical attitude towards implementing theories in this space.

Over the last few decades, we have observed tremendous improvements in the ability of machines to carry out human tasks. Thanks to progressive studies, series of algorithms are consistently improved to ensure that these functions are carried out efficiently. Regardless of daunting improvements in recent times, scientists continue to improve the functionality of these machines. This brings to the question, will machines ever attain consciousness or be self-aware like the human mind? Self-consciousness cannot be understood by mere behavioral observance because it's an act of the mind.