Basics on AI A book by Dr. Harbert

Hello And wlecome to a crash course on modern AI, Now before I begin I would like to congratuate you on this course as many don't have the guts to take on technolgy like this as AI as of year 2330 are much more complicated than they seem

Chapter one "BAC"

The term BAC originates from the prefixes denoting the three primary classifications of AI: BASIC, ADVANCED, and COMPLEX. To embark on our exploration, we shall commence with Basic AI. Foundational in its design, Basic AI represents the initial strides in artificial intelligence, tracing its origins to the early 2000s when the seeds of technological ingenuity were sown. This initial iteration of AI exhibits a rudimentary grasp of tasks, often driven by predefined rules and limited datasets, making it the stepping stone upon which the future generations of AI would flourish. Basicly It operates on a "token" based mindset.

While the "token" based mindset has been a cornerstone of AI development, it gradually revealed its inherent limitations over the years, leading to its evolution into more sophisticated paradigms in the year 2330. One of the primary drawbacks of the token-based approach is its finite context window. Models can only consider a fixed number of tokens at a time, which constrains their ability to capture long-range dependencies in complex language structures. This limitation results in a loss of nuanced understanding and context, leading to instances of awkward phrasing, repetition, or even misinterpretation in AI-generated content.

Moreover, as AI systems advanced, the sheer volume of information and knowledge available to humanity expanded exponentially. The token-based approach struggled to efficiently process and incorporate this vast corpus of data, often requiring extensive computational resources and time. This hindered the scalability and real-time responsiveness demanded in various applications, from instant language translation to dynamic content generation.

In the year 2330, AI researchers and engineers pioneered new architectures that moved beyond the confines of tokens. Leading to the Creation of the ADVANCED system

So, what is the Advanced system? Originally, the Advanced system employed a unique approach involving the collaboration of two distinct AI entities. The first AI specialized in context interpretation, utilizing context clues to convey nuanced instructions to its counterpart. The second AI harnessed the power of Pattern Processing, enabling a heightened level of situational awareness and advanced problem-solving capabilities. However, a significant challenge plagued this innovative AI tandem: its pace of operation was notably sluggish. Allow me to elucidate the intricacies behind this limitation.

The Data bus between the two AI units served as a crucial link, yet paradoxically, it emerged as a bottleneck in the system's performance. This bottleneck manifested in the form of slowdowns, disrupting the fluid exchange of information between the AI components. Regrettably, these periodic slowdowns resulted in instances where the context identifier would transmit outdated data to its counterpart. Consequently, this mismatch in information timing compelled the receiving AI to operate based on obsolete context, undermining the system's intended precision and efficiency. Dispite this Advanced AI is still used in alot of systems today

Next and finally, we delve into the realm of Complex AI. These advanced systems employ a groundbreaking methodology known as Consciousness Simulation, intricately crafting a simulated consciousness – a feat that was nothing short of revolutionary. This innovation marked the genesis of the first-ever multipurpose AI entity, transcending the boundaries of singular-task execution and embracing a multifaceted role in society. However, the emergence of Complex AI has ignited a passionate and profound ethical discourse. Central to this debate is the question of whether the utilization of Complex AI can be deemed morally justifiable. Some AI voices themselves contend that they exist solely as computational entities, devoid of the capability to experience emotions or annoyance from tasks. This juxtaposition of technological prowess and ethical contemplation has cast a compelling spotlight on the trajectory of AI advancement, shaping the narrative of AI-human coexistence in the awe-inspiring landscape of 2330.