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The Future of Human-Like Machine Intelligence: Distant Prospect or Near Reality?

Updated: Apr 28

Machine Intelligence Revolution Explained

In their review of the groundbreaking article "The Evolution of Intelligence," the researchers encountered a consensus among experts: the attainment of human-like machine intelligence remains a distant prospect, with odds of emergence by 2059 estimated at only 50-50. However, the question arises: what if there exists a pathway to achieve this milestone in significantly less time? Collaborating with VERSES for the culmination of their AI Revolution Series, they delve into a potential roadmap leading to the realization of shared or super intelligence within a mere 16 years. This exploration is part of Visual Capitalist's comprehensive examination of the evolution of intelligence, accessible at

Artificial Intelligence: Unraveling the Odyssey towards a Thinking Machine

In the latter part of 2022, the emergence of the latest iteration of generative artificial intelligence marked a pivotal moment in the technological landscape. The unveiling of ChatGPT, a language model, swiftly captured the attention of the world, amassing a staggering 100 million active monthly users within a mere two months. This unprecedented growth propelled ChatGPT to the echelons of history, heralding it as the fastest-growing consumer application to date. Simultaneously, projections by Goldman Sachs foretold a profound impact on the global economy, estimating that AI could contribute a substantial 7% to the global GDP over a decade, amounting to nearly $7 trillion. However, this surge in AI prowess also carried the ominous forecast of displacing 300 million jobs in its wake.

Yet, amidst the disruptive force of AI reshaping every facet of existence, a moment of pause beckons. In the inaugural segment of a trilogy titled "The AI Revolution," sponsored by VERSES AI, we embark on a reflective journey. Delving into the genesis, trajectory, and the tantalizing prospect of achieving a genuinely cogitating machine, we navigate the milestones that have propelled us to the present.

From Inception to Ascendancy:

The term "artificial intelligence" finds its origins in a seminal proposal made by computer scientist John McCarthy during a 1955 conference. McCarthy, alongside luminaries such as Alan Turing and Marvin Minsky, is revered as one of the progenitors of AI. Since its inception, AI has undergone exponential advancement, culminating in landmark achievements such as defeating chess grandmaster Garry Kasparov in 1997 and triumphing over Go champion Lee Sedol in 2016. The complexity of these victories underscores the evolution of AI, with the intricacies of Go far surpassing those of chess.

The advent of DALL-E in 2021 and ChatGPT-4 in early 2023 heralded a new epoch in AI development, setting the stage for contemporary exploration.

Deciphering Artificial Intelligence:

Distinguishing between the mundane utility of a household Roomba and the sentient intellect of HAL from "2001: A Space Odyssey" is imperative. Researchers have thus devised a taxonomy to categorize AI, encompassing Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI). While ANI, exemplified by virtual assistants like Siri or Alexa, excels in specific tasks, AGI, epitomized by Marvel's J.A.R.V.I.S., embodies a broader spectrum of human-like capabilities. The elusive pinnacle, ASI, remains an aspirational frontier.

Despite the sensationalism surrounding recent generative AI breakthroughs, skepticism persists regarding their classification as true thinking entities. Notwithstanding their formidable capabilities, these AI models, including ChatGPT, predominantly function as sophisticated autocomplete tools, falling short of genuine cognition.

Navigating the Turing Threshold:

Philip K. Dick's speculative opus, "Do Androids Dream of Electric Sheep?," and its cinematic adaptation, "Blade Runner," contemplate the enigmatic essence of artificial sentience. Proposals for discerning true AI consciousness have ranged from cognitive scientist Ben Goertzel's academic aptitude benchmark to Steve Wozniak's domestic prowess test. Yet, a common thread binding these criteria is the capacity for generalization, adaptation, and problem-solving—a realm in which contemporary AI endeavors still falter.

Pondering the Prospects of True Cognition:

As AI scales unprecedented heights, an air of uncertainty shrouds its ultimate trajectory. Despite notable advancements, standard benchmarks reveal a stagnation in AI performance growth, hinting at the limitations of prevailing methodologies. New benchmark suites like BIG-Bench and HELM offer renewed avenues for evaluation, yet the elusive goal of an AI akin to J.A.R.V.I.S. remains elusive.

Envisioning a Cerebral Sphere:

In the crucible of this evolutionary epoch, VERSES AI emerges as a vanguard in the quest for true artificial cognition. Recent research endeavors by this cognitive computing entity unveil tantalizing insights into constructing AI endowed with introspective capabilities, elucidating its cognitive processes. Stay tuned for the forthcoming installments of "The AI Revolution" series, poised to unravel the frontiers of the cognitive horizon.

In the labyrinthine odyssey towards a ruminating machine, the interplay of innovation, introspection, and inquiry promises to redefine the very essence of intelligence. As humanity stands at the cusp of this epochal juncture, the quest for artificial sentience beckons as an inexorable journey into the unknown.


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