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Archive for the ‘Artificial General Intelligence’ tag

Jan 30, 2024

The Professions of the Future (1)

Posted by in categories: automation, big data, business, computing, cyborgs, disruptive technology, education, Elon Musk, employment, evolution, futurism, information science, innovation, internet, life extension, lifeboat, machine learning, posthumanism, Ray Kurzweil, robotics/AI, science, singularity, Skynet, supercomputing, transhumanism

We are witnessing a professional revolution where the boundaries between man and machine slowly fade away, giving rise to innovative collaboration.

Photo by Mateusz Kitka (Pexels)

As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.

As creator of the ETER9 Project (2), I perceive AI not only as a disruptive force but also as a powerful tool to shape a more efficient, innovative, and inclusive future. As we move forward in this new world, it’s crucial for each of us to contribute to building a professional environment that celebrates the interplay between humanity and technology, where the potential of AI is realized for the benefit of all.

In the ETER9 Project, dedicated to exploring the interaction between artificial intelligences and humans, I have gained unique insights into the transformative potential of AI. Reflecting on the future of professions, it’s evident that adaptability and a profound understanding of technological dynamics will be crucial to navigate this new landscape.

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Jun 8, 2017

Artificial General Intelligence (AGI): Future A to Z

Posted by in categories: business, computing, cyborgs, engineering, ethics, existential risks, machine learning, robotics/AI, singularity

What is the ultimate goal of Artificial General Intelligence?

In this video series, the Galactic Public Archives takes bite-sized looks at a variety of terms, technologies, and ideas that are likely to be prominent in the future. Terms are regularly changing and being redefined with the passing of time. With constant breakthroughs and the development of new technology and other resources, we seek to define what these things are and how they will impact our future.

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May 31, 2013

How Could WBE+AGI be Easier than AGI Alone?

Posted by in categories: complex systems, engineering, ethics, existential risks, futurism, military, neuroscience, singularity, supercomputing

This essay was also published by the Institute for Ethics & Emerging Technologies and by Transhumanity under the title “Is Price Performance the Wrong Measure for a Coming Intelligence Explosion?”.

Introduction

Most thinkers speculating on the coming of an intelligence explosion (whether via Artificial-General-Intelligence or Whole-Brain-Emulation/uploading), such as Ray Kurzweil [1] and Hans Moravec [2], typically use computational price performance as the best measure for an impending intelligence explosion (e.g. Kurzweil’s measure is when enough processing power to satisfy his estimates for basic processing power required to simulate the human brain costs $1,000). However, I think a lurking assumption lies here: that it won’t be much of an explosion unless available to the average person. I present a scenario below that may indicate that the imminence of a coming intelligence-explosion is more impacted by basic processing speed – or instructions per second (ISP), regardless of cost or resource requirements per unit of computation, than it is by computational price performance. This scenario also yields some additional, counter-intuitive conclusions, such as that it may be easier (for a given amount of “effort” or funding) to implement WBE+AGI than it would be to implement AGI alone – or rather that using WBE as a mediator of an increase in the rate of progress in AGI may yield an AGI faster or more efficiently per unit of effort or funding than it would be to implement AGI directly.

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