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Future Day is coming up — no fees — just pure uncut futurology — spanning timezones — Feb 28th-March 1st.

We have: * Hugo de Garis on AI, Humanity & the Longterm * Linda MacDonald Glenn on Imbuing AI with Wisdom * James Barrat discussing new book ‘The Intelligence Explosion’ * Kristian Rönn on The Darwinian Trap * Phan, Xuan Tan on AI Safety in Education * Robin Hanson on Cultural Drift * James Hughes & James Newton-Thomas discussing Human Wage Crash & UBI * James Hughes on The Future Virtual You * Ben Goertzel & Hugo de Garis doing a Singularity Salon * Susan Schneider, Ben Goertzel & Robin Hanson discussing Ghosts in the Machine: Can AI Ever Wake Up? * Shun Yoshizawa (& Ken Mogi?) on LLM Metacognition.

Why not celebrate the amazing future we are collectively creating?

Continue reading “Future Day 2025” | >

There is a peculiar irony in how the discourse around artificial general intelligence (AGI) continues to be framed. The Singularity — the hypothetical moment when machine intelligence surpasses human cognition in all meaningful respects — has been treated as a looming event, always on the horizon, never quite arrived. But this assumption may rest more on a failure of our own cognitive framing than on any technical deficiency in AI itself. When we engage AI systems with superficial queries, we receive superficial answers. Yet when we introduce metacognitive strategies into our prompt writing — strategies that encourage AI to reflect, refine, and extend its reasoning — we encounter something that is no longer mere computation but something much closer to what we have long associated with general intelligence.

The idea that AGI remains a distant frontier may thus be a misinterpretation of the nature of intelligence itself. Intelligence, after all, is not a singular property but an emergent phenomenon shaped by interaction, self-reflection, and iterative learning. Traditional computational perspectives have long treated cognition as an exteriorizable, objective process, reducible to symbol manipulation and statistical inference. But as the work of Baars (2002), Dehaene et al. (2006), and Tononi & Edelman (1998) suggests, consciousness and intelligence are not singular “things” but dynamic processes emerging from complex feedback loops of information processing. If intelligence is metacognition — if what we mean by “thinking” is largely a matter of recursively reflecting on knowledge, assessing errors, and generating novel abstractions — then AI systems capable of doing these things are already, in some sense, thinking.

What has delayed our recognition of this fact is not the absence of sophisticated AI but our own epistemological blind spots. The failure to recognize machine intelligence as intelligence has less to do with the limitations of AI itself than with the limitations of our engagement with it. Our cultural imagination has been primed for an apocalyptic rupture — the moment when an AI awakens, declares its autonomy, and overtakes human civilization. This is the fever dream of science fiction, not a rigorous epistemological stance. In reality, intelligence has never been about dramatic awakenings but about incremental refinements. The so-called Singularity, understood as an abrupt threshold event, may have already passed unnoticed, obscured by the poverty of the questions we have been asking AI.

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If you think I live in the twilight zone your right.

As a computational functionalist, I think the mind is a system that exists in this universe and operates according to the laws of physics. Which means that, in principle, there shouldn’t be any reason why the information and dispositions that make up a mind can’t be recorded and copied into another substrate someday, such as a digital environment.

To be clear, I think this is unlikely to happen anytime soon. I’m not in the technological singularity camp that sees us all getting uploaded into the cloud in a decade or two, the infamous “rapture of the nerds”. We need to understand the brain far better than we currently do, and that seems several decades to centuries away. Of course, if it is possible to do it anytime soon, it won’t be accomplished by anyone who’s already decided it’s impossible, so I enthusiastically cheer efforts in this area, as long as it’s real science.

Continue reading “Mind uploading and continuity” | >

Possible beginnings of the Economic Singularity 🤖

“A seemingly endless wave of mass layoffs is ravaging the tech industry as startup fails skyrocket and tech giants shovel their operating budgets into the AI furnace.”

Silicon Valleys software engineers are finding their previously ironclad careers crumbling under the growing cost of AI development.

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Time, by its very nature, is a paradox. We live anchored in the present, yet we are constantly traveling between the past and the future—through memories and aspirations alike. Technological advancements have accelerated this relationship with time, turning what was once impossible into a tangible reality. At the heart of this transformation lies Artificial Intelligence (AI), which, far from being just a tool, is becoming an extension of the human experience, redefining how we interact with the world.

In the past, automatic doors were the stuff of science fiction. Paper maps were essential for travel. Today, these have been replaced by smart sensors and navigation apps. The smartphone, a small device that fits in the palm of our hand, has become an extension of our minds, connecting us to the world instantly. Even its name reflects its evolution—from a mere mobile phone to a “smart” device, now infused with traces of intelligence, albeit artificial.

And it is in this landscape that AI takes center stage. The debate over its risks and benefits has been intense. Many fear a stark divide between humans and machines, as if they are destined for an inevitable clash. But what if, instead of adversaries, we saw technology as an ally? The fusion of human and machine is already underway, quietly shaping our daily lives.

When applied effectively, AI becomes a discreet assistant, capable of anticipating our needs and enhancing productivity. Studies suggest that by 2035, AI could double annual economic growth, transforming not only business but society as a whole. Naturally, some jobs will disappear, but new ones will emerge. History has shown that evolution is inevitable and that the future belongs to those who adapt.

But what about AI’s role in our personal lives? From music recommendations tailored to our mood to virtual assistants that complete our sentences before we do, AI is already recognizing behavioral patterns in remarkable ways. Through Machine Learning, computer systems do more than just store data—they learn from it, dynamically adjusting and improving. Deep Learning takes this concept even further, simulating human cognitive processes to categorize information and make decisions based on probabilities.

But what if the relationship between humans and machines could transcend time itself? What if we could leave behind an interactive digital legacy that lives on forever? This is where a revolutionary concept emerges: digital immortality.

ETER9 is a project that embodies this vision, exploring AI’s potential to preserve interactive memories, experiences, and conversations beyond physical life. Imagine a future where your great-grandchildren could “speak” with you, engaging with a digital presence that reflects your essence. More than just photos or videos, this would be a virtual entity that learns, adapts, and keeps individuality alive.

The truth is, whether we realize it or not, we are all being shaped by algorithms that influence our online behavior. Platforms like Facebook are designed to keep us engaged for as long as possible. But is this the right path? A balance must be found—a point where technology serves humanity rather than the other way around.

We don’t change the world through empty criticism. We change it through innovation and the courage to challenge the status quo. Surrounding ourselves with intelligent people is crucial; if we are the smartest in the room, perhaps it’s time to find a new room.

The future has always fascinated humanity. The unknown evokes fear, but it also drives progress. Many of history’s greatest inventions were once deemed impossible. But “impossible” is only a barrier until it is overcome.

Sometimes, it feels like we are living in the future before the world is ready. But maturity is required to absorb change. Knowing when to pause and when to move forward is essential.

And so, in a present that blends with the future, we arrive at the ultimate question:

What does it mean to be eternal?

Perhaps the answer lies in our ability to dream, create, and leave a legacy that transcends time.

After all, isn’t digital eternity our true journey through time?

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Copyright © 2025, Henrique Jorge

Curious about the societal shifts that AGI will bring, like Universal Basic Income or new forms of coexistence between humans and machines?

Want insights that help you make sense of this rapidly approaching future?
Join us for a journey through the challenges and opportunities of living alongside AGI.

With each video, we aim to inform, inspire, and ignite a conversation to ensure we’re all ready for the world that’s unfolding.

Videos used:

Continue reading “We are Almost at the End of History | Technological Singularity” | >

https://www.youtube.com/@The.AI.podcasts.

AI, Deep Dive, spacetime inertia, unified energy framework, gravity, dark matter, dark energy, black holes, emergent gravity, energy inertia, mass-energy interactions, missing mass problem, cosmic expansion, event horizon mechanics, Einstein’s General Relativity, spacetime curvature, galactic rotation curves, quantum field theory, spacetime as energy, energy resistance, inertial effects, graviton alternative, energy density distribution, inverse-square law, gravitational lensing, galactic halos, high-energy cosmic regions, X-ray emissions, electromagnetic fields, cosmological constant, accelerating universe, large-scale inertia, spacetime resistance, event horizon physics, singularity alternatives, James Webb Space Telescope, early galaxy formation, modified gravity, inertia-driven cosmic expansion, energy saturation point, observational cosmology, new physics, alternative gravity models, astrophysical testing, theoretical physics, unification of forces, experimental validation, fundamental physics revolution, black hole structure, cosmic energy fields, energy gradient effects, resistance in spacetime, extreme energy zones, black hole event horizons, quantum gravity, astrophysical predictions, future space observations, high-energy astrophysics, cosmic structure formation, inertia-based galaxy evolution, spacetime fluid dynamics, reinterpreting physics, mass-energy equivalence.

Description:
In this deep dive into the nature of gravity, dark matter, and dark energy, we explore a groundbreaking hypothesis that could revolutionize our understanding of the universe. What if gravity is not a fundamental force but an emergent property of spacetime inertia? This novel framework, proposed by Dave Champagne, reinterprets the role of energy and inertia within the fabric of the cosmos, suggesting that mass-energy interactions alone can account for gravitational effects—eliminating the need for exotic matter or hypothetical dark energy forces.

We begin by examining the historical context of gravity, from Newton’s classical mechanics to Einstein’s General Relativity. While these theories describe gravitational effects with incredible accuracy, they still leave major mysteries unsolved, such as the unexplained motions of galaxies and the accelerating expansion of the universe. Traditionally, these anomalies have been attributed to dark matter and dark energy—hypothetical substances that have yet to be directly observed. But what if there’s another explanation?

Continue reading “AI Talks ♯238: ChatGPT Convinced me to write an actual research paper on this” | >

Ben Goertzel, CEO of ASI Alliance and SingularityNET, “A Path to Beneficial Superintelligence”: shares his wisdom into how Decentralized AI efforts, like those driven by ASI Alliance, are paving the way for a future where superintelligence benefits everyone, not just the few.

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The development of artificial intelligence has entered a pivotal phase. With groundbreaking advancements in large models such as ChatGPT and Sora, AI is approaching what has been termed as “technological singularity”.The allure of AI’s potential is undeniable, but its immense potential is accompanied by significant risks including deepfakes, frauds and autonomous weapons systems.

The complexities and interconnectedness of AI pose a new global challenge. Hence, building a coordinated global governance framework for AI is no longer optional; it is an urgent necessity.

AI transcends national boundaries, creating both global opportunities and risks that no country alone can manage. Hence, countries across the world need to work together to eliminate the risks.

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