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Would you want to live forever? On this episode, Neil deGrasse Tyson and author, inventor, and futurist Ray Kurzweil discuss immortality, longevity escape velocity, the singularity, and the future of technology. What will life be like in 10 years?

Could we upload our brain to the cloud? We explore the merger of humans with machines and how we are already doing it. Could nanobots someday flow through our bloodstreams? Learn about the exponential growth of computation and what future computing power will look like.

When will computers pass the Turing test? Learn why the singularity is nearer and how to think exponentially about the world. Are things getting worse? We go through why things might not be as bad as they seem. What are the consequences of having a longer lifetime? Will we deplete resources?

Will there be a class divide between people able to access longer lifespans? What sort of jobs would people have in the future? Explore what artificial intelligence has in store for us. What happens if AI achieves consciousness? We discuss the definition of intelligence and whether there will be a day when there is nothing left for humans to do. Will we ever see this advancement ending?

It wouldn’t shock me if all the buzz around searching for the ‘locus of consciousness’ merely fine-tunes our grasp of how the brain is linked to consciousness — without actually revealing where consciousness comes from, because it’s not generated in the brain. Similarly, your smartphone doesn’t create the Internet or a cellular network; it just processes them. Networks of minds are a common occurrence throughout the natural world. What sets humans apart is the impending advent of cybernetic connectivity explosion that could soon evolve into a form of synthetic telepathy, eventually leading to the rise of a unified, global consciousness — what could be termed the Syntellect Emergence.

#consciousness #phenomenology #cybernetics #cognition #neuroscience


In summary, the study of consciousness could be conceptualized through a variety of lenses: as a series of digital perceptual snapshots, as a cybernetic system with its feedback processes, as a grand theater; or perhaps even as a VIP section in a cosmological establishment of magnificent complexity. Today’s leading theories of consciousness are largely complementary, not mutually exclusive. These multiple perspectives not only contribute to philosophical discourse but also herald the dawn of new exploratory avenues, equally enthralling and challenging, in our understanding of consciousness.

In The Cybernetic Theory of Mind (2022), I expand on existing theories to propose certain conceptual models and concepts, such as Noocentrism, Digital Presentism (D-Theory of Time), Experiential Realism, Ontological Holism, Multi-Ego Pantheistic Solipsism, the Omega Singularity, deeming a non-local consciousness, or Universal Mind, as the substrate of objective reality. In search of God’s equation, we finally look upward for the source. What many religions call “God” is clearly an interdimensional being within the nested levels of complexity. Besides setting initial conditions for our universe, God speaks to us in the language of religion, spirituality, synchronicities and transcendental experiences.

This video covers digital immortality, its required technologies, processes of uploading a mind, its potential impact on society, and more. Watch this next video about the world in 2200: https://bit.ly/3htaWEr.
🎁 5 Free ChatGPT Prompts To Become a Superhuman: https://bit.ly/3Oka9FM
🤖 AI for Business Leaders (Udacity Program): https://bit.ly/3Qjxkmu.
☕ My Patreon: https://www.patreon.com/futurebusinesstech.
➡️ Official Discord Server: https://discord.gg/R8cYEWpCzK

CHAPTERS
00:00 Required Technologies.
01:42 The Processes of Uploading a Mind.
03:32 Positive Impacts On Society.
05:34 When Will It Become Possible?
05:53 Is Digital Immortality Potentially Dangerous?

SOURCES:
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA
https://www.scientificamerican.com/article/what-is-the-memory-capacity/
https://www.anl.gov/article/researchers-image-an-entire-mous…first-time.
https://interestingengineering.com/cheating-death-and-becomi…-uploading.

Official Discord Server: https://discord.gg/R8cYEWpCzK

Join Dr. Ben Goertzel, the visionary CEO and Founder of SingularityNET, as he delves into the compelling realm of large language models. In this Dublin Tech Summit keynote presentation, Dr. Goertzel will navigate the uncharted territories of AI, discussing the imminent impact of large language models on innovation across industries. Discover the intricacies, challenges, and prospects of developing and deploying these transformative tools. Gain insights into the future of AI, as Dr. Goertzel unveils his visionary perspective on the role of large language models in shaping the AI landscape. Tune in to explore the boundless potentials of AI and machine learning in this thought-provoking session.

Themes: AI & Machine Learning | Innovation | Future of Technology | Language Models | Industry Transformation.
Keynote: Dr. Ben Goertzel, CEO and Founder, SingularityNET
#dubtechsummit

In 1993, acclaimed sci-fi author and computer scientist Vernor Vinge made a bold prediction – within 30 years, advances in technology would enable the creation of artificial intelligence surpassing human intelligence, leading to “the end of the human era.”

Vinge theorized that once AI becomes capable of recursively improving itself, it would trigger a feedback loop of rapid, exponential improvements to AI systems. This hypothetical point in time when AI exceeds human intelligence has become known as “the Singularity.”

While predictions of superhuman AI may have sounded far-fetched in 1993, today they are taken seriously by many AI experts and tech investors seeking to develop “artificial general intelligence” or AGI – AI capable of fully matching human performance on any intellectual task.

This book, ‘The Singularity Is Near’, predicts the future. However, unlike most best-selling futurology books, its author, Kurzweil, is a renowned technology expert. His insights into the future are not technocratic wild fantasies but are rooted in his profound contemplation of technological principles.

This audio informs us that, due to Moore’s Law, the pace of human technological advancement in the future will far exceed our expectations. By 2045, we will reach the technological ‘Singularity’, which will profoundly alter our human condition, and technology may even enable humans to conquer the universe within a millennium.

The author, Ray Kurzweil, is a true tech maestro. He has been inducted into the National Inventors Hall of Fame in the U.S., is a recipient of the National Medal of Technology, holds 13 honorary doctorates, has been lauded by three U.S. presidents, and is dubbed by the media as the ‘rightful heir to Thomas Edison’.

In the audio, you will hear:

Artificial General Intelligence (AGI) is a term for Artificial Intelligence systems that meet or exceed human performance on the broad range of tasks that humans are capable of performing. There are benefits and downsides to AGI. On the upside, AGIs can do most of the labor that consume a vast amount of humanity’s time and energy. AGI can herald a utopia where no one has wants that cannot be fulfilled. AGI can also result in an unbalanced situation where one (or a few) companies dominate the economy, exacerbating the existing dichotomy between the top 1% and the rest of humankind. Beyond that, the argument goes, a super-intelligent AGI could find it beneficial to enslave humans for its own purposes, or exterminate humans so as to not compete for resources. One hypothetical scenario is that an AGI that is smarter than humans can simply design a better AGI, which can, in turn, design an even better AGI, leading to something called hard take-off and the singularity.

I do not know of any theory that claims that AGI or the singularity is impossible. However, I am generally skeptical of arguments that Large Language Models such the GPT series (GPT-2, GPT-3, GPT-4, GPT-X) are on the pathway to AGI. This article will attempt to explain why I believe that to be the case, and what I think is missing should humanity (or members of the human race) so choose to try to achieve AGI. I will also try to convey a sense for why it is easy to talk about the so-called “recipe for AGI” in the abstract but why physics itself will prevent any sudden and unexpected leap from where we are now to AGI or super-AGI.

To achieve AGI it seems likely we will need one or more of the following: