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Featuring LumaFusion, Waldorf Nave, In-Shot, Moodscaper, MultitrackDAW. I used In-Shot to assemble still collages and then imported them into LumaFusion with subtle zooming. I used some of the new LumaFusion transitions between these still images. I recorded Waldorf Nave and Moodscaper clips into MultitrackDAW and then exported them into LumaFusion for final blending and mastering.

I was going for a post-human world where the singularity has been achieved and humanoids benefit from the merger and constant stimulus of a fully integrated, technical, digital audio and visual experience. This experience can be named as Utopia, Xanadu or Heterotopia and, while I prefer the latter word, “heterotopia” is perhaps a little too obscure of a title. So, for the title I chose the spelling “PROJEKT” to indicate the scientific, technical feeling; and “HUMANOID” to indicate a better version of humankind; and “2050” as a nod to Bladerunner 2049, as well as a nod to the next generation of humanity. May it solve the problems that we are confronting today.

I hope you enjoy watching and listening!

Peace!
Tom.

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We live at a time when humanity has never experienced such a rapid pace of change. We’re in the midst of unprecedented technological change, cultural change, political change, and philosophical change.

Some observers predict that the pace of change will slow down, but others anticipate that it will in fact increase — largely due to artificial intelligence leaping forward in capability, to the point where it exceeds human cognitive capabilities in every dimension.

How credible is such a possibility? How should humanity prepare for it? What values should guide us in our reactions and proactions to various new opportunities and potential threats that seem to be emerging almost daily?

The guest in this London Futurists webinar, Ben Goertzel, has arguably thought longer, harder, more creatively, and more boldly, about these questions, than anyone else on the planet. But he’s not just a thinker; Ben is very much also a doer — an organiser, an entrepreneur, an architect, an engineer, and a leader of too many initiatives to mention them all individually.

But let’s briefly highlight:
• Ben’s role as the long-time champion of the concept of AGI, artificial general intelligence;
• his role as the founder and leader of SingularityNET, with its mission to create a decentralized, democratic, inclusive and beneficial AGI;
• his leadership roles at Humanity+, the international transhumanist organisation, where he has served since 2008 as either Vice Chair or Chair;
• and his commitment to the writing and publication of mind-expanding ideas, such as his 2010 book \.

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This Deep Dive AI podcast discusses my book The Physics of Time: D-Theory of Time & Temporal Mechanics, an insightful exploration into one of the most profound mysteries of existence: the nature of time. As part of the Science and Philosophy of Information series, this book presents a radical reinterpretation of time grounded in modern physics and digital philosophy. It questions whether time is a fundamental aspect of reality or an emergent property of consciousness and information processing. Drawing on quantum physics, cosmology, and consciousness studies, this work invites readers (and listeners) to reimagine time not as a linear, absolute entity, but as a dynamic, editable dimension intertwined with the fabric of reality itself. It challenges traditional views, blending scientific inquiry with metaphysical insights, aimed at both the curious mind and the philosophical seeker.

#PhysicofTime #TemporalMechanics #DTheory #consciousness #DigitalPresentism #TimeFlow #EmergentTime #TimeTravel #ArrowofTime #SyntellectHypothesis

In this episode, we dive deep into The Physics of Time: D-Theory of Time & Temporal Mechanics by futurist-philosopher Alex M. Vikoulov. Explore the profound questions at the intersection of consciousness, quantum and digital physics, and the true nature of time. Is time fundamental or emergent? Can we travel through it? What is Digital Presentism?

The Physics of Time: D-Theory of Time & Temporal Mechanics by Alex M. Vikoulov is an insightful exploration into one of the most profound mysteries of existence: the nature of time. As part of the Science and Philosophy of Information series, this book presents a radical reinterpretation of time grounded in modern physics and digital philosophy. It questions whether time is a fundamental aspect of reality or an emergent property of consciousness and information processing.

The book introduces the D-Theory of Time, or Digital Presentism, which suggests that all moments exist as discrete, informational states, and that our perception of time’s flow is a mental construct. Vikoulov explores theoretical models of time travel, the feasibility of manipulating time, and the concept of the Temporal Singularity, a proposed point where temporal mechanics may reach a transformative threshold.

Continue reading “The Physics of Time | Deep Dive AI Podcast” | >

IN A NUTSHELL 🤖 The concept of singularity involves AI reaching a level of intelligence that surpasses that of humans. 🚀 Recent advancements in large language models and computing power have sparked debates about the possibility of achieving singularity soon. 🧠 Experts face technical and philosophical challenges, questioning whether AI can truly replicate human intelligence.

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In the paper accompanying the launch of R1, DeepSeek explained how it took advantage of techniques such as synthetic data generation, distillation, and machine-driven reinforcement learning to produce a model that exceeded the current state-of-the-art. Each of these approaches can be explained another way as harnessing the capabilities of an existing AI model to assist in the training of a more advanced version.

DeepSeek is far from alone in using these AI techniques to advance AI. Mark Zuckerberg predicts that the mid-level engineers at https://fortune.com/company/facebook/” class=””>Meta may soon be replaced by AI counterparts, and that Llama 3 (his company’s LLM) “helps us experiment and iterate faster, building capabilities we want to refine and expand in Llama 4.” https://fortune.com/company/nvidia/” class=””>Nvidia CEO Jensen Huang has spoken at length about creating virtual environments in which AI systems supervise the training of robotic systems: “We can create multiple different multiverses, allowing robots to learn in parallel, possibly learning in 100,000 different ways at the same time.”

This isn’t quite yet the singularity, when intelligent machines autonomously self-replicate, but it is something new and potentially profound. Even amidst such dizzying progress in AI models, though, it’s not uncommon to hear some observers talk about the potential slowing of what’s called the “scaling laws”—the observed principles that AI models increase in performance in direct relationship to the quantity of data, power, and compute applied to them. The release from DeepSeek, and several subsequent announcements from other companies, suggests that arguments of the scaling laws’ demise may be greatly exaggerated. In fact, innovations in AI development are leading to entirely new vectors for scaling—all enabled by AI itself. Progress isn’t slowing down, it’s speeding up—thanks to AI.

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Artificial Intelligence is evolving rapidly, bringing us closer to the Singularity—a future where AI surpasses human intelligence. This shift could transform every aspect of life, from jobs to technology, creating both exciting possibilities and significant risks. As AI continues to advance at an unprecedented pace, understanding its impact on society is more crucial than ever.

🔍 Key Topics Covered:
The rapid evolution of AI and its connection to the looming Singularity, where machines may surpass human intelligence.
How AI could reshape industries, jobs, and even human life as we know it.
The potential risks of uncontrolled AI growth, including the rise of misinformation, biased outcomes, and the threat of AI-designed chemical weapons.
The need for a global governance framework to regulate and monitor AI advancements.
The ethical and philosophical questions surrounding AI’s role in society, including its impact on human consciousness and labor.

🎥 What You’ll Learn:
The rapid advancement of artificial intelligence and its potential to reach the Singularity sooner than expected.
How AI systems like neural networks and symbolic systems impact modern technology and the dangers they pose when left unchecked.
The role AI could play in jobs, governance, and the potential for global cooperation to ensure safe AI development.
Insight into real-world concerns such as disinformation, biased AI systems, and even the possibility of AI leading to catastrophic societal changes.

📊 Why This Matters:
These developments highlight the critical need for responsible AI governance as the technology progresses toward potentially surpassing human intelligence. Understanding the rapid growth of AI and its implications helps us prepare for the future, where machines could fundamentally change society. Whether you’re interested in technology, philosophy, or the future of work, this content offers an in-depth look at the powerful impact AI will have on the world.

*DISCLAIMER*:
The content presented is for informational and entertainment purposes, offering insights into the future of AI based on current trends and technological research. The creators are not AI experts or legal professionals, and the information should not be taken as professional advice. Viewer discretion is advised due to the speculative nature of the topics discussed. The views expressed are those of the content creator and do not necessarily represent any affiliated individuals or organizations.

#ai.

Continue reading “AI Is Evolving FASTER Than Ever The SINGULARITY Is Close!” | >

In 1971, American electrical engineer and computer scientist Leon Chua reasoned that there must exist a fourth fundamental element of computing. There’s the resistor, capacitor, and inductor, but Chua believed there also existed a “memristor”— a portmanteau of “memory” and “resistor” that described a simple, non-volatile memory component that could store information even when turned off.

This sounds like a simple function, but it provides the technological foundation of neuromorphic (a.k.a. brain-like) computing—an effective memristor would essentially act as an artificial synapse in an AI neural net, as it can achieve both data storage and computation at the same time (which is something our brain does). Since researchers “discovered” memristors back in 2008, scientists and engineers around the world have been slowly improving their capabilities in the hopes of bringing about computers that are as efficient and powerful as human brains.

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