Toggle light / dark theme

The AI revolution is happening faster than experts ever predicted — and we’ve hit the turning point.

The long-debated arrival of artificial general intelligence (AGI) may be closer than we think, with some experts suggesting we could reach the technological singularity within the next year.

A new analysis of nearly 8,600 expert predictions reveals shifting timelines, particularly since the rise of large language models (LLMs) like ChatGPT. While previous estimates placed AGI’s emergence around 2060, recent advancements have led many to revise their forecasts to as early as 2030.

Some industry leaders, however, believe AGI’s arrival is imminent, and with the rapid progression of computing power and potential breakthroughs in quantum computing, we may soon see machines capable of surpassing human intelligence.

Ray Kurzweil, who used to be a computer scientist at Google, is no stranger to accurate predictions. With an impressive track record, he foresaw consumers designing their own clothes from home computers by 1999 and the world’s best chess player losing to a computer by 2000. He had also predicted the widespread use of portable computers in various shapes and sizes by 2009.

His groundbreaking forecasts have consistently inspired people to push the boundaries of what is possible. Ray Kurzweil has so far made 147 predictions with 86% accuracy and has the world looking forward to the new ones with much anticipation. For his remarkable contributions and insight, the visionary was awarded the prestigious National Medal of Technology in 1999. He was also inducted into the National Inventors Hall of Fame in 2022.

The renowned futurist predicts that AI will surpass human intelligence and pass the Turing test by 2029. And that by 2045, humans will merge with the artificial intelligence we’ve created, a phenomenon he calls ‘The Singularity.’ He believes this would exponentially amplify our intelligence, creating unparalleled opportunities for innovation and progress.

In this video, we explore seven astonishing breakthroughs leading us closer to age reversal and longer, healthier lives by 2025. From mapping the complete fruit fly brain for deeper insights into neurobiology, to AI-driven drug discovery breakthroughs by Insilico Medicine, these cutting-edge innovations are changing the way we understand and tackle aging. We’ll also dive into the growing world of microbiome-targeting startups, and Dr. Ben Goertzel’s vision for an AI-driven future where extended longevity and superintelligence converge. Whether you’re interested in the most advanced biotech research, the latest in computational biology, or the promise of AGI to transform healthcare, this video covers the game-changing science that could redefine what it means to grow older.

Stay tuned for expert insights on how these remarkable advancements might help us inch closer to “longevity escape velocity.” Be sure to check the description for links to the studies, articles, and visionary leaders shaping tomorrow’s health landscape.

00:00 intro.
01:25 Dont Die Documentary Cameo.
03:30 Folistatin Gene Therapy.
06:15 Cellular Reprogramming.
09:00 Decentralized Science.
11:50 Human Brain Simulation.
14:53 AI Designed Drugs.
18:08 Microbiome.
21:25 Ben Goertzel AI+Longevity.

Mentioned vids: part 1: the surprising environmental impacts of an aging cure. • the surprising environmental impacts…

At the threshold of a century poised for unprecedented transformations, we find ourselves at a crossroads unlike any before. The convergence of humanity and technology is no longer a distant possibility; it has become a tangible reality that challenges our most fundamental conceptions of what it means to be human.

This article seeks to explore the implications of this new era, in which Artificial Intelligence (AI) emerges as a central player. Are we truly on the verge of a symbiotic fusion, or is the conflict between the natural and the artificial inevitable?

The prevailing discourse on AI oscillates between two extremes: on one hand, some view this technology as a powerful extension of human capabilities, capable of amplifying our creativity and efficiency. On the other, a more alarmist narrative predicts the decline of human significance in the face of relentless machine advancement. Yet, both perspectives seem overly simplistic when confronted with the intrinsic complexity of this phenomenon. Beyond the dichotomy of utopian optimism and apocalyptic pessimism, it is imperative to critically reflect on AI’s cultural, ethical, and philosophical impact on the social fabric, as well as the redefinition of human identity that this technological revolution demands.

Since the dawn of civilization, humans have sought to transcend their natural limitations through the creation of tools and technologies. From the wheel to the modern computer, every innovation has been seen as a means to overcome the physical and cognitive constraints imposed by biology. However, AI represents something profoundly different: for the first time, we are developing systems that not only execute predefined tasks but also learn, adapt, and, to some extent, think.

This transition should not be underestimated. While previous technologies were primarily instrumental—serving as controlled extensions of human will—AI introduces an element of autonomy that challenges the traditional relationship between subject and object. Machines are no longer merely passive tools; they are becoming active partners in the processes of creation and decision-making. This qualitative leap radically alters the balance of power between humans and machines, raising crucial questions about our position as the dominant species.

But what does it truly mean to “be human” in a world where the boundaries between mind and machine are blurring? Traditionally, humanity has been defined by attributes such as consciousness, emotion, creativity, and moral decision-making. Yet, as AI advances, these uniquely human traits are beginning to be replicated—albeit imperfectly—within algorithms. If a machine can imitate creativity or exhibit convincing emotional behavior, where does our uniqueness lie?

This challenge is not merely technical; it strikes at the core of our collective identity. Throughout history, humanity has constructed cultural and religious narratives that placed us at the center of the cosmos, distinguishing us from animals and the forces of nature. Today, that narrative is being contested by a new technological order that threatens to displace us from our self-imposed pedestal. It is not so much the fear of physical obsolescence that haunts our reflections but rather the anxiety of losing the sense of purpose and meaning derived from our uniqueness.

Despite these concerns, many AI advocates argue that the real opportunity lies in forging a symbiotic partnership between humans and machines. In this vision, technology is not a threat to humanity but an ally that enhances our capabilities. The underlying idea is that AI can take on repetitive or highly complex tasks, freeing humans to engage in activities that truly require creativity, intuition, and—most importantly—emotion.

Concrete examples of this approach can already be seen across various sectors. In medicine, AI-powered diagnostic systems can process vast amounts of clinical data in record time, allowing doctors to focus on more nuanced aspects of patient care. In the creative industry, AI-driven text and image generation software are being used as sources of inspiration, helping artists and writers explore new ideas and perspectives. In both cases, AI acts as a catalyst, amplifying human abilities rather than replacing them.

Furthermore, this collaboration could pave the way for innovative solutions in critical areas such as environmental sustainability, education, and social inclusion. For example, powerful neural networks can analyze global climate patterns, assisting scientists in predicting and mitigating natural disasters. Personalized algorithms can tailor educational content to the specific needs of each student, fostering more effective and inclusive learning. These applications suggest that AI, far from being a destructive force, can serve as a powerful instrument to address some of the greatest challenges of our time.

However, for this vision to become reality, a strategic approach is required—one that goes beyond mere technological implementation. It is crucial to ensure that AI is developed and deployed ethically, respecting fundamental human rights and promoting collective well-being. This involves regulating harmful practices, such as the misuse of personal data or the indiscriminate automation of jobs, as well as investing in training programs that prepare people for the new demands of the labor market.

While the prospect of symbiotic fusion is hopeful, we cannot ignore the inherent risks of AI’s rapid evolution. As these technologies become more sophisticated, so too does the potential for misuse and unforeseen consequences. One of the greatest dangers lies in the concentration of power in the hands of a few entities, whether they be governments, multinational corporations, or criminal organizations.

Recent history has already provided concerning examples of this phenomenon. The manipulation of public opinion through algorithm-driven social media, mass surveillance enabled by facial recognition systems, and the use of AI-controlled military drones illustrate how this technology can be wielded in ways that undermine societal interests.

Another critical risk in AI development is the so-called “alignment problem.” Even if a machine is programmed with good intentions, there is always the possibility that it misinterprets its instructions or prioritizes objectives that conflict with human values. This issue becomes particularly relevant in the context of autonomous systems that make decisions without direct human intervention. Imagine, for instance, a self-driving car forced to choose between saving its passenger or a pedestrian in an unavoidable collision. How should such decisions be made, and who bears responsibility for the outcome?

These uncertainties raise legitimate concerns about humanity’s ability to maintain control over increasingly advanced technologies. The very notion of scientific progress is called into question when we realize that accumulated knowledge can be used both for humanity’s benefit and its detriment. The nuclear arms race during the Cold War serves as a sobering reminder of what can happen when science escapes moral oversight.

Whether the future holds symbiotic fusion or inevitable conflict, one thing is clear: our understanding of human identity must adapt to the new realities imposed by AI. This adjustment will not be easy, as it requires confronting profound questions about free will, the nature of consciousness, and the essence of individuality.

One of the most pressing challenges is reconciling our increasing technological dependence with the preservation of human dignity. While AI can significantly enhance quality of life, there is a risk of reducing humans to mere consumers of automated services. Without a conscious effort to safeguard the emotional and spiritual dimensions of human experience, we may end up creating a society where efficiency outweighs empathy, and interpersonal interactions are replaced by cold, impersonal digital interfaces.

On the other hand, this very transformation offers a unique opportunity to rediscover and redefine what it means to be human. By delegating mechanical and routine tasks to machines, we can focus on activities that truly enrich our existence—art, philosophy, emotional relationships, and civic engagement. AI can serve as a mirror, compelling us to reflect on our values and aspirations, encouraging us to cultivate what is genuinely unique about the human condition.

Ultimately, the fate of our relationship with AI will depend on the choices we make today. We can choose to view it as an existential threat, resisting the inevitable changes it brings, or we can embrace the challenge of reinventing our collective identity in a post-humanist era. The latter, though more daring, offers the possibility of building a future where technology and humanity coexist in harmony, complementing each other.

To achieve this, we must adopt a holistic approach that integrates scientific, ethical, philosophical, and sociological perspectives. It also requires an open, inclusive dialogue involving all sectors of society—from researchers and entrepreneurs to policymakers and ordinary citizens. After all, AI is not merely a technical tool; it is an expression of our collective imagination, a reflection of our ambitions and fears.

As we gaze toward the horizon, we see a world full of uncertainties but also immense possibilities. The future is not predetermined; it will be shaped by the decisions we make today. What kind of social contract do we wish to establish with AI? Will it be one of domination or cooperation? The answer to this question will determine not only the trajectory of technology but the very essence of our existence as a species.

Now is the time to embrace our historical responsibility and embark on this journey with courage, wisdom, and an unwavering commitment to the values that make human life worth living.

__
Copyright © 2025, Henrique Jorge

[ This article was originally published in Portuguese in SAPO’s technology section at: https://tek.sapo.pt/opiniao/artigos/a-sinfonia-do-amanha-tit…exao-seria ]

Alternative path the day after the singularity.


Charles-François Gounod (17 June 1818 – 17 or 18 October 1893) was a French composer, best known for his Ave Maria, based on a work by Bach, as well as his opera Faust. Another opera by Gounod occasionally still performed is Roméo et Juliette. Although he is known for his Grand Operas, the soprano aria “Que ferons-nous avec le ragoût de citrouille?” from his first opera “Livre de recettes d’un enfant” (Op. 24) is still performed in concert as an encore, similarly to his “Jewel Song” from Faust.

Please support my channel:

Link in comments!


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?

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.