Lifeboat Foundation: Safeguarding Humanity
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Category: futurism

Artificial Intelligence (AI) is, without a doubt, the defining technological breakthrough of our time. It represents not only a quantum leap in our ability to solve complex problems but also a mirror reflecting our ambitions, fears, and ethical dilemmas. As we witness its exponential growth, we cannot ignore the profound impact it is having on society. But are we heading toward a bright future or a dangerous precipice?

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 ]

Scientists have long suspected that phosphorene nanoribbons (PNRs)—thin pieces of black phosphorus, only a few nanometers wide—might exhibit unique magnetic and semiconducting properties, but proving this has been difficult.

In a recent study published in Nature, researchers focused on exploring the potential for magnetic and semiconducting characteristics of these nanoribbons. Using techniques such as ultrafast magneto-optical spectroscopy and electron paramagnetic resonance they were able to demonstrate the magnetic behavior of PNRs at room temperature, and show how these magnetic properties can interact with light.

The study, carried out at the Cavendish Laboratory in collaboration with other institutes, including the University of Warwick, University College London, Freie Universität Berlin and the European High Magnetic Field lab in Nijmegen, revealed several key findings about phosphorene nanoribbons.

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Tryptamine psychoactive substances, such as α-methyltryptamine (AMT), are monoamine alkaloids characterized by an indole ring structure. Rapid, highly sensitive, and specific identification of trace amounts of AMT is crucial for maintaining social stability and ensuring public safety. However, accurately detecting AMT using specific fluorescent methods is challenging due to the presence of similar amine groups and benzene rings in various other amines.

To address this challenge, a research team led by Prof. Dou Xincun from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences (CAS) has developed a novel molecular strategy to enhance and selectivity for AMT.

Their findings, published in Analytical Chemistry, emphasize tuning the electron-withdrawing strength of the π-conjugate bridge to improve the reactivity of Schiff base-based fluorescence probes with amines.

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Plasmonic modulators are tiny components that convert electrical signals into optical signals in order to transport them through optical fibers. A modulator of this kind had never managed to transmit data at a frequency of over a terahertz (over a trillion oscillations per second).

Now, researchers from the group led by Jürg Leuthold, Professor of Photonics and Communications at ETH Zurich, have succeeded in doing just that. Previous modulators could only convert frequencies up to 100 or 200 gigahertz—in other words, frequencies that are five to ten times lower.

The work is published in the journal Optica.

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Shanghai Jiao Tong University along with multiple collaborating institutions including the University of Copenhagen and Lawrence Berkeley National Laboratory, have conducted an extensive investigation into microbial ecosystems in the deep ocean hadal zone.

Findings reveal an unprecedented level of taxonomic novelty, with 89.4% of identified microbial species previously unreported. The study demonstrated that selection pressures, favoring either streamlined or versatile adaptation strategies, dominate over neutral drift in shaping these extreme .

Hadal environments, located at depths exceeding 6,000 meters below sea level, remain among the least explored ecosystems on Earth. Manned submersibles capable of reaching full-ocean depth have been rare, with less than a dozen individuals visiting the deepest point of the Mariana Trench before 2019.

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To fuel the future advancement of the electronics industry, engineers will need to develop batteries that can be charged quickly, have higher energy densities (i.e., can store more energy) and last longer. Among the most promising alternatives to lithium-ion (Li-ion) batteries, which power most devices on the market today, are lithium-metal batteries (LMBs).

As suggested by their name, LMBs have an anode (i.e., negative electrode) made of Li metal. Compared to Li-ion batteries, which have graphite or silicon-based anodes, LMBs can exhibit significantly higher energy densities.

Despite their potential, LMBs have been found to exhibit slow redox kinetics and poor cycling reversibility. These limitations tend to adversely impact their performance, reducing their charging speed and their efficiency over time.

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Aion from ballistic to diffusive motion within 10 ps is observed in supercritical carbon dioxide with X-ray photon correlation spectroscopy. Collisions of unbound molecules with clusters are responsible for the ultrafast momentum exchange.

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Much like a tongue freezes to a frigid metal pole, ice can cause speed up the adsorption, or stickiness, of molecules. An icy surface can also cause molecules to degrade in the presence of light, releasing trace gases. Before researchers can measure these reactions and incorporate their impacts in global atmospheric models, researchers first need to understand the structure of ice itself.

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Transfer RNAs (called tRNAs for short) are small RNA molecules that play an important role in protein synthesis! Each tRNA corresponds to one of the 20 possible protein building blocks in humans called amino acids. As the ribosome reads each codon along an mRNA, the tRNA bring the correct amino acid, which is then added to the growing protein molecule!

Many types of RNA, including tRNAs, fold into specific shapes that help them function and keep them stable. Complementary sequences at different positions along the length of an RNA fold the molecule into loops and other complex structures.

TRNAs are folded into a distinct L-shape that helps them carry out their function. One end of the tRNA has a specific sequence to match a codon on the mRNA, while the other end of the tRNA has a site to carry the amino acid that will be added to the new protein.

Learn more in our RNA fact sheet!

Ribonucleic acid (RNA) is an essential molecule that performs many roles in the cell, from carrying the instructions to make proteins to regulating genes.

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