This opinion piece aims to foster critical reflection on AI’s role in the modern world and what it means for our collective future.

AI is no longer the stuff of science fiction. It is embedded in nearly every aspect of our lives, from the virtual assistants on our smartphones to the algorithms that recommend what to watch on Netflix or determine our eligibility for a bank loan. In medicine, AI is revolutionizing diagnostics and treatments, enabling the early detection of cancer and the personalization of therapies based on a patient’s genome. In education, adaptive learning platforms are democratizing access to knowledge by tailoring instruction to each student’s pace.

These advancements are undeniably impressive. AI promises a more efficient, safer, and fairer world. But is this promise being fulfilled? Or are we inadvertently creating new forms of inequality, where the benefits of technology are concentrated among a privileged few while others are left behind?

One of AI’s most pressing challenges is its impact on employment. Automation is eliminating jobs across various sectors, including manufacturing, services, and even traditionally “safe” fields such as law and accounting. Meanwhile, workforce reskilling is not keeping pace with technological disruption. The result? A growing divide between those equipped with the skills to thrive in the AI-driven era and those displaced by machines.

Another urgent concern is privacy. AI relies on vast amounts of data, and the massive collection of personal information raises serious questions about who controls these data and how they are used. We live in an era where our habits, preferences, and even emotions are continuously monitored and analyzed. This not only threatens our privacy but also opens the door to subtle forms of manipulation and social control.

Then, there is the issue of algorithmic bias. AI is only as good as the data it is trained on. If these data reflect existing biases, AI can perpetuate and even amplify societal injustices. We have already seen examples of this, such as facial recognition systems that fail to accurately identify individuals from minority groups or hiring algorithms that inadvertently discriminate based on gender. Far from being neutral, AI can become a tool of oppression if not carefully regulated.

Who Decides What Is Right?

AI forces us to confront profound ethical questions. When a self-driving car must choose between hitting a pedestrian or colliding with another vehicle, who decides the “right” choice? When AI is used to determine parole eligibility or distribute social benefits, how do we ensure these decisions are fair and transparent?

The reality is that AI is not just a technical tool—it is also a moral one. The choices we make today about how we develop and deploy AI will shape the future of humanity. But who is making these decisions? Currently, AI’s development is largely in the hands of big tech companies and governments, often without sufficient oversight from civil society. This is concerning because AI has the potential to impact all of us, regardless of our individual consent.

A Utopia or a Dystopia?

The future of AI remains uncertain. On one hand, we have the potential to create a technological utopia, where AI frees us from mundane tasks, enhances productivity, and allows us to focus on what truly matters: creativity, human connection, and collective well-being. On the other hand, there is the risk of a dystopia where AI is used to control, manipulate, and oppress—dividing society between those who control technology and those who are controlled by it.

The key to avoiding this dark scenario lies in regulation and education. We need robust laws that protect privacy, ensure transparency, and prevent AI’s misuse. But we also need to educate the public on the risks and opportunities of AI so they can make informed decisions and demand accountability from those in power.

Artificial Intelligence is, indeed, the Holy Grail of Technology. But unlike the medieval legend, this Grail is not hidden in a distant castle—it is in our hands, here and now. It is up to us to decide how we use it. Will AI be a tool for building a more just and equitable future, or will it become a weapon that exacerbates inequalities and threatens our freedom?

The answer depends on all of us. As citizens, we must demand transparency and accountability from those developing and implementing AI. As a society, we must ensure that the benefits of this technology are shared by all, not just a technocratic elite. And above all, we must remember that technology is not an end in itself but a means to achieve human progress.

The future of AI is the future we choose to build. And at this critical moment in history, we cannot afford to get it wrong. The Holy Grail is within our reach—but its true value will only be realized if we use it for the common good.

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Copyright © 2025, Henrique Jorge

[ This article was originally published in Portuguese in SAPO’s technology section at: https://tek.sapo.pt/opiniao/artigos/o-santo-graal-da-tecnologia ]

Aubrey de Grey is giving a talk on Twitter this Saturday. You’ll get a chance to ask him questions directly if you attend live: [ https://lu.ma/viva-aubrey](https://lu.ma/viva-aubrey)

Join us for an educational talk with longevity scientist Dr. Aubrey de Grey about the state of longevity research, how to get a COVID-style “war on aging,” and the future of life extension science.

Factors like your income and how much sleep you get are more predictive of how long you’ll live than genes, an Oxford study found.

Scientists have recorded the first-ever brain scan of a dying human.

A man suddenly died during a routine brain scan, revealing intriguing insights into what happens in our final moments.

An 87-year-old man undergoing a routine EEG for epilepsy suffered a fatal heart attack. Researchers found that in the 30 seconds before and after his heart stopped, his brain waves resembled those seen during dreaming, memory recall, and meditation.

This suggests that the commonly reported phenomenon of “life flashing before your eyes” may have a neurological basis. However, since this is a single case study, more research is needed to confirm how common this experience may be.

The findings, published by Dr. Ajmal Zemmar and his team, showed a surge in gamma waves — high-frequency neural oscillations linked to memory and consciousness — just before and after death.

These waves are typically observed when people recall memories, adding weight to the idea that the brain may replay key life events in its final moments. While this discovery cannot fully explain the mysteries of death, it offers a fascinating glimpse into the brain’s last activity and opens the door for further research on human consciousness at the end of life.

This innovation, called ALA-CART, helps the immune system better recognize and destroy resistant cancers. The new design not only improves treatment success but also promises fewer side effects.

A Powerful Upgrade to CAR-T Therapy

Researchers at the University of Colorado Anschutz Medical Campus have developed an enhanced version of CAR-T cell therapy designed to improve effectiveness and longevity, particularly against cancer cells that were previously difficult to detect and eliminate.

Sunburns and aging skin are obvious effects of exposure to harmful UV rays, tobacco smoke and other carcinogens. But the effects aren’t just skin deep. Inside the body, DNA is literally being torn apart.

Understanding how the body heals and protects itself from DNA damage is vital for treating genetic disorders and life-threatening diseases such as cancer. But despite numerous studies and medical advances, much about the molecular mechanisms of DNA repair remains a mystery.

For the past several years, researchers at Georgia State University have tapped into the Summit supercomputer at the Department of Energy’s Oak Ridge National Laboratory to study an elaborate molecular pathway called nucleotide excision repair (NER). NER relies on an array of highly dynamic protein complexes to cut out (excise) damaged DNA with surgical precision.

Can Tesla REALLY Build Millions of Optimus Bots? ## Tesla is poised to revolutionize robotics and sustainable energy by leveraging its innovative manufacturing capabilities and vertical integration to produce millions of Optimus bots efficiently and cost-effectively ## Questions to inspire discussion ## Manufacturing and Production.

S low model count strategy benefit their production? A: Tesla s speed of innovation and ability to build millions of robots quickly gives them a key advantage in mass producing and scaling manufacturing for humanoid robots like Optimus. + s factory design strategies support rapid production scaling? A: Tesla## Cost and Efficiency.

S vertical integration impact their cost structure? A: Tesla s AI brain in-house, Tesla can avoid paying high margins to external suppliers like Nvidia for the training portion of the brain. +## Technology and Innovation.

S experience in other industries benefit Optimus development? A: Tesla s own supercomputer, Cortex, and AI training cluster are crucial for developing and training the Optimus bot## Quality and Reliability.

S manufacturing experience contribute to Optimus quality? A: Tesla## Market Strategy.

S focus on vehicle appeal relate to Optimus production? A: Tesla## Scaling and Demand.

For decades, scientists have focused on amyloid plaques—abnormal clumps of misfolded proteins that accumulate between neurons—as a therapeutic target for Alzheimer’s disease. But anti-amyloid therapies haven’t made strong headway in treating the devastating condition.

Now, researchers at Yale School of Medicine (YSM) are zeroing in on a byproduct of these plaques, called axonal spheroids, and exploring how to reverse their growth. They published their findings March 10 in Nature Aging.

Axonal spheroids are bubble-like structures on axons—the part of the neuron that sends messages through electrical impulses—that form due to swelling induced by amyloid plaques. Previous research at YSM has shown that as these spheroids grow, they block electricity conduction in the axons, which can hinder the ability to communicate with other neurons.

As Shakespeare put it, we all have our entrances and our exits on this grand stage we call life, and now researchers have identified the specific point in middle-age when our brain cells show the first signs of starting down a downward slope.

That age, based on brain scans and tests covering 19,300 individuals, is on average around 44 years. It’s here that degeneration starts to be noticeable, before hitting its most rapid rate at age 67. By the time we reach 90, the speed of brain aging levels off.

According to the team behind the new study, led by researchers from Stony Brook University in the US, the findings could be helpful in figuring out ways to promote better brain health during the later stages of life.

Dissecting the effects of hypothermic and hypometabolic states on aging processes, the authors show that activation of neurons in the preoptic area induces a torpor-like state in mice that slows epigenetic aging and improves healthspan. These pro-longevity effects are mediated by reduced Tb, reinforcing evidence that Tb is a key mediator of aging processes.