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It’s Time for Humanity’s Best Exam for AI

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Better benchmarks can unlock the social benefits of AI technology.

The rhythm of artificial intelligence (AI) development has become unsettlingly familiar. A new model is unveiled, and with it comes a predictable flurry of media attention. One cluster of articles dissects its intricate training data and architecture; another marvels, often breathlessly, at its newfound capabilities; and a third, almost inevitably, scrutinizes its performance on a battery of standardized tests. These benchmarks have become our primary yardsticks for AI progress. Yet, they predominantly paint a picture skewed toward raw technical prowess and potential peril, leaving the public with a pervasive feeling that each impressive step forward for AI might translate into two regrettable steps back for the rest of us.

Many of these evaluations concentrate on the technical capacity of the model or its computational horsepower. Others, with growing urgency, assess the likelihood of misuse—could this advanced AI empower rogue actors to design a bioweapon or destabilize critical infrastructure through sophisticated cyberattacks? A significant portion of evaluations also measures AI against human performance in specific job tasks, fueling widespread anxieties about automation and diminished human agency. The reporting on these tests, frequently framed by alarming headlines, understandably casts AI advancements more as a societal regression than a leap forward. The very branding of prominent benchmarks, such as the ominously titled Humanity’s Last Exam, amplifies these negative connotations. That benchmark and others like it tend to measure a model’s capacity to complete bespoke tests, aid bad actors engaging in harmful conduct, or some combination of the two. It is difficult, if not impossible, to read coverage of such an assessment and come away with a hopeful, or even neutral, view of AI’s trajectory.

This is not to argue that assessing risks or understanding the deep mechanics of AI is unimportant. Vigilance and technical scrutiny are crucial components of responsible development. The current benchmarking landscape, however, is dangerously imbalanced. Those of us who recognize AI’s immense transformative potential to address some of the world’s most intractable problems—including revolutionizing medical diagnostics, accelerating climate solutions, and personalizing education for every child—currently lack a prominent, public-facing benchmark designed to track, celebrate, and encourage these positive developments.

It is time we introduce “Humanity’s Best Exam”—a benchmark that strives to capture a model’s capacity to address public policy problems and otherwise serve the general welfare.

Imagine a new form of evaluation that challenges AI systems not with abstract logic puzzles but with tangible goals vital to human flourishing. Consider a benchmark that tasks AI models with identifying early-stage diabetic retinopathy from retinal scans with over 95 percent accuracy, a leap that could surpass current screening efficacy and save millions from preventable blindness. Picture a test that spurs the design of three novel antibiotic compounds that are effective against stubborn, drug-resistant bacteria within a single year. In the realm of climate science, Humanity’s Best Exam might push AI to develop a groundbreaking, cost-effective catalyst for the direct air capture of carbon dioxide, improving efficiency by a significant margin—say, 20 percent—over existing technologies. Or it could encourage the creation of predictive models for localized flash floods that offer vulnerable regions a critical six-hour lead time with 90 percent accuracy. Or, in education, the challenge could be to generate personalized six-month learning plans for diverse student profiles in foundational STEM subjects, demonstrably elevating learning outcomes by an average of two grade levels.

The creation and widespread adoption of Humanity’s Best Exam would serve several critical, society-shaping purposes.

First, it would powerfully harness the intense competitive spirit of AI laboratories for the global good. AI developers are profoundly motivated by benchmark performance—the race to the top of the leaderboards is fierce. Channeling this potent drive toward solving clearly defined societal problems could positively redirect research priorities and resource allocation within these influential organizations.

Second, such a benchmark would be instrumental in reshaping the public discourse surrounding artificial intelligence. The narrative around any powerful new technology is inevitably shaped by the information that is most readily available and most prominently featured. If the most visible AI assessments continue to highlight dangers and disruptions, public perception will remain tinged with fear and skepticism. Humanity’s Best Exam would provide a steady stream of positive, concrete examples of AI’s potential, offering a more balanced and hopeful counter-narrative. This perspective is essential for fostering a more informed and constructive public conversation, which is, in turn, vital for democratic oversight of this transformative technology.

Finally, a benchmark focused on positive societal impact would provide invaluable guidance for policymakers, investors, and researchers. As a law professor whose research centers on accelerating AI innovation through thoughtful legal and policy reforms, I see a pressing need for clearer signals to guide governance away from reactive, fear-driven legislation and toward proactive, enabling frameworks. Humanity’s Best Exam would illuminate areas where AI is poised to deliver significant societal returns, helping policymakers to direct strategic funding more effectively and to develop supportive, rather than stifling, regulatory environments. Investors would gain a clearer view of emerging opportunities where AI can create substantial financial and social value. Researchers across numerous disciplines could more easily identify how cutting-edge AI capabilities can be leveraged within their fields, potentially sparking new collaborations and accelerating vital research.

But who would build and oversee such an ambitious undertaking, and how could we navigate the inherent challenges? The establishment of Humanity’s Best Exam would necessitate a dedicated, independent, and broadly representative multi-stakeholder governing consortium. This body should ideally include experts from leading academic institutions, established nonprofits with proven experience in managing “grand challenges”—akin to the XPrize Foundation model that involves hosting competitions to achieve societally beneficial breakthroughs—relevant international organizations, domain specialists from fields such as public health, environmental science, and education, as well as ethicists and, critically, representatives from civil society organizations to ensure public accountability. Funding could be drawn from a diverse portfolio, including major philanthropic sources, government grants earmarked for scientific and societal advancement, and perhaps even a coalition of AI laboratories and technology firms committed to socially beneficial AI development.

To address the valid concern that defining “societal benefit” can be subjective, a primary task for this consortium would be to establish a transparent and evolving framework for identifying and prioritizing challenge areas, perhaps drawing inspiration from established global agendas such as the United Nation’s Sustainable Development Goals. The specific tasks within the benchmark would need to be rigorously defined, objectively measurable, and, crucially, regularly updated by diverse expert panels. This dynamism is key to preventing the benchmark from becoming stale, to avoiding the pitfalls of “teaching to the test” in a way that stifles genuine innovation, and to ensuring continued relevance as AI capabilities and societal needs evolve. Although no benchmark can ever be entirely immune to attempts at superficial optimization, focusing on complex, real-world problems with multifaceted success criteria makes simplistic gaming far more difficult than it is on narrower, purely technical tests. Furthermore, a portion of the assessment could incorporate qualitative reviews by expert panels, evaluating the robustness, safety, ethical considerations, and real-world applicability of the proposed AI tools.

The current, almost myopic focus on AI’s potential downsides, although born of a necessary caution, is inadvertently creating an innovation ecosystem shrouded in anxiety. We are meticulously documenting every conceivable way AI could go wrong, while failing to champion, encourage, and measure systematically its profound potential to go spectacularly right.

It is time to correct this imbalance. A crucial first step would be for leading philanthropic organizations, forward-thinking academic consortia, and ethically minded AI developers to convene a foundational summit. The purpose of such a gathering would be to begin outlining the charter, initial problem sets, and robust governance structure for Humanity’s Best Exam. This is far more than a mere intellectual exercise; it is a necessary reorientation of our collective focus and a deliberate effort to harness the awesome power of artificial intelligence for the betterment of all. Let us not only brace for AI’s potential last exam but actively architect its very best.



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I asked AI tools philosophical questions – here’s what their answers revealed about how they think (and how we do too)

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Can AI help us think more clearly? We often talk about AI as a tool for writing, productivity, or even therapy. But lately, I’ve been experimenting with something different. What if we treated AI less like a content creator and more like a thinking companion? Could these tools help us clarify our thoughts? Especially when we’re wrestling with the big, messy, timeless philosophical questions that have no neat answers?

I know that might sound counterintuitive. Why turn to artificial intelligence to explore ideas like free will or goodness? But maybe that’s the point. When we get tangled in our own thinking, sometimes a detached, structured perspective is what we need.

AI isn’t emotional – at least not unless we ask it to “pretend” to be. It’s not tied to a particular worldvie,w the way humans are either. And while that can make its creative writing feel a little flat, maybe creativity was never its strength. Maybe what AI is best at is structure, helping us think more clearly, logically, even laterally, introducing new perspectives we might not have considered.

What happens when you ask ChatGPT about the meaning of life? (Image credit: ChatGPT)

The experiment



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Martyr “Majid Tajan -Jari”: The Man Who Reached the Heart of the World’s Artificial Intelligence

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TEHRAN- Martyr Majid Tajan Jar—a scientific genius who journeyed from the courtyard of his home in the village of Tajan Jar in Mazandaran Province to the heart of the world’s AI, now immortalized beside the word martyr.

Dr. Majid Tajan-Jari was a child who didn’t just take apart a broken radio but pieced its scattered fragments together like a puzzle, crafting a future with his small hands—a future that still echoes in the quiet of his childhood home.

It was as if an inner voice whispered to him: “The future begins right here.” This is the story told by a mother who witnessed every moment of it… and now narrates the silence of a home that her son, with his brilliance and his blood, gave meaning to.

A brilliance that seemed to have come from the future…

Some people are born not just for their own time, but for the times to come. From childhood, Dr. Majid Tajan-Jari showed signs of this timelessness in his demeanor—a sharp, creative mind that quickly blurred the line between play and science.

zobeideh Khaleghi, the martyr’s mother, recalls: “I remember one day when we went to the store together. Video players had just arrived. Majid was about ten or eleven. He took an old radio from his aunt, dismantled it, understood its components, and rebuilt it from scratch. We just watched, but it was as if he had a blueprint in his mind.”

Their simple courtyard became his laboratory—where he worked with electrical circuits and soldering. “One day, he asked me, ‘Mom, I don’t have a workshop—can I work here?’ I told him, ‘This house is yours. Do whatever you want.’”

Majid’s father, a retired employee, spoke of their financial struggles: “We had little, but Majid never gave up. He taught himself, built, and created.” At eighteen, he built a robot that didn’t just move—it thought.

Zobeideh continues: “We didn’t understand what he was making, but we knew it was something from the future.” Her voice is quiet, choked with emotion: “The pain of losing a child who was building the future is unbearable. The house feels smaller without him, and its silence is louder than ever.”

Yet Majid was not only unmatched in scientific brilliance—his ethics transcended ordinary boundaries. “He was kind to everyone; his respect and politeness were legendary,” his mother says. “Sometimes I thought his ‘grade’ in ethics was infinite.”

Majid’s move to Tehran was quiet and unassuming. “For fourteen years, he worked in silence,” his mother recalls. “I didn’t fully grasp what he was doing, but I felt he was fighting for something greater than himself.”

The scent of his shirt still lingers in the house…

Her voice trembles—not from breaking, but from standing firm, from honoring that pain. Softly, she says: “When I saw his body, it was as if the world stopped. I just looked at him… with that same smile he always had in my memory. I told myself, ‘Be calm—he wasn’t meant to stay. They didn’t bury him in the earth; they took him to the sky.’”

“He always said, ‘Kiss my throat, Mom…’” A brief silence follows. The mother looks down, then speaks a heavy truth: “Every time I visited his home, he’d say, ‘Mom, kiss my throat…’ Now I understand. I’m ashamed that the last time, I couldn’t kiss his throat.”

Our hearts are broken, but we have not collapsed

Amid this crushing grief, a voice rises from the depths of faith—not of mourning, but of resilience: “My sister calls every day and asks, ‘Zobeideh, I’m just his aunt, and I’m burning with grief—how are you still breathing?’ And I tell her, ‘Patience is the only thing Majid planted in my heart. He left, but he left his patience behind for me.’”

“His memory has lit up our lives.”

Martyr "Majid Tajan -Jari": The Man Who Reached the Heart of the World’s Artificial Intelligence

“We mothers live with our skin and bones—we touch pain. But every night, I tell myself, ‘Majid, my soul, though they took your body from me, your name, your memory, your voice are still with me. Sometimes, I still hear the door… as if you’re coming home, turning the key, saying, ‘Mom, I hope you’re not tired.’”

Ali Tajan-Jari, the martyr’s father, a quiet man with a gaze heavy with years of experience, sits on the couch, flipping through old photographs.

In a simple home, he had a global mind

His father, with a faint smile, glances toward the courtyard. A quiet pride lingers in his eyes: “That simple home, that humble courtyard, became the birthplace of boundless dreams.”

“From that small room, he connected with the world. He said, ‘I will stay in Iran, but my scientific voice must be heard beyond borders.’ And so it was. I often heard that when asked where his students were, he’d smile and say, ‘Everywhere… Spain, England, Canada, Turkey…’”

He built bridges from failure

A brief silence lingers between the father’s words before he continues: “In one of our talks, he said, ‘I’ve failed many, many times… but I built a home—a scientific family. All my chances were there.’ That group was called ‘AIO Learn’—young people who rose from the ground and reached the summit.”

The father places a hand on his chest, as if something deep within him speaks: “We didn’t know Majid was teaching. Not out of secrecy, but because, amid building robots and AI projects, that side of him was less visible.”

“One day, we heard his students had surpassed 500,000. Majid was a teacher without borders—with a virtual blackboard, yet magnificent. And all of it began in a room that didn’t even have an extra chair. Just love, a laptop, and a light of passion.”

“He always said, ‘Science must have attraction—not fear, not force… only motivation and the desire to know.’”

A Quran that still carries his presence…

Moments later, the father grows quieter. His eyes settle on a small Quran on the table—the one that had accompanied his son for years. Slowly, he takes out his glasses, places them on, and silently recites a verse.

His voice is soft, but the words are clear and firm. He closes the Quran, running his hand over its cover—as if still feeling the warmth of his son’s hands.

In the silence of the house, only the sound of his breathing can be heard. His gaze lingers on his son’s portrait. He says nothing. But that look tells a thousand unspoken words.

The end of a story, the beginning of a path

This chapter of Majid’s life was not just a career—it was part of Iran’s scientific identity today. A young man who chose to stay instead of emigrate, to build instead of complain, and to take root instead of leave.

In a simple home, with hands on a keyboard and a heart full of conviction, he trained students who now carry his legacy across the world.

The legacy he planted in life…

Mohaddeseh Tajan-Jari, the martyr’s sister, sits composed in the frame of the image. Soft light from a half-open window falls on her face. Her voice, delicate and measured, wavers between sorrow and pride:

“Sometimes they ask, ‘What did Majid leave behind?’ He had no children, no family of his own… But I say, ‘If only they knew what a child truly is.’”

“Majid did not father a child of his blood, but he fathered one of his mind—he named it his company. He always said with certainty, ‘I built AIO Learn… this is my child.’”

Martyr "Majid Tajan -Jari": The Man Who Reached the Heart of the World’s Artificial Intelligence

She pauses briefly, then adds: “Majid wasn’t just my brother—he was my confidant. We never fought—not because we couldn’t, but because there was no need. We were friends, united in thought, concern, and heart. More than a brother, he was my teacher—one whose silence itself was a lesson.”

“When my child was born, he was genuinely happy. He’d buy toys and say, ‘He must grow up intelligent.’ He wasn’t a father, but he lived fatherhood. In action, he was a martyr—not just in title.”

Her voice grows quieter, but the meaning grows heavier: “He didn’t see martyrdom only in combat. He stayed up till dawn coding, creating ideas, building the future. He wrote projects that seemed to come from decades ahead.”

“His jihad was a jihad of thought—his battlefield was science, his weapon genius. Martyrdom was not the end of his path—it was the manifestation of a life entirely devoted.”

My brother said ‘no’ to money, ‘yes’ to his homeland

The narrative shifts—from emotion to loyalty, from offers to faith. “When a major European company made him a staggering offer, everyone thought his choice was obvious. High salary, easy immigration… I told him, ‘Majid, it’s your decision.’ He smiled and said, ‘Mahdeh, I can’t live in a country where they lie about my people day and night. Even if I have to live in a tent, I’d rather be in my homeland.’”

An ascension that was preordained

Her gaze drifts to a distant point—a moment of silence. Then, with inner conviction, she says: “Majid wasn’t born—it was as if he descended. He came to build, to teach, to inspire… and when his mission was complete, he left. Not in silence, but at his peak.”

“I always think God entrusted Majid to us for only thirty-five years. Now, his mission is over… but his voice still flows.”

We are still standing…

Today, the small room in the Tajan-Jar home is silent. The sound of soldering is gone, the monitor remains dark, the desk empty. But the ideas born in that room are more alive than ever—in the pulse of research, the veins of science, the sky of hope.

Martyr Dr. Majid Tajan-Jari is no longer among us, but his vision still shines in the eyes of his students. His thoughts live on in the code he wrote, the projects he brought to life, the dreams he refused to leave unfinished.

Martyr "Majid Tajan -Jari": The Man Who Reached the Heart of the World’s Artificial Intelligence

He is gone, but his path remains. His principles—his belief in staying, in building, in nurturing elites on his homeland’s soil—endure.

A father, with eyes full of pride, spoke of a son who, in silence, in dignity, in action, wrote a new definition of scientific jihad.

And today, we are certain: some people do not come to stay—they come to light a lamp that will illuminate the path for years to come…

Martyr Dr. Majid Tajan-Jari was not just a scientific genius—he was the embodiment of committed, scholarly, and national life. A man who could have crossed borders, shone in the world’s best institutions, but chose to remain in this soil, take root, and build a bright future.

(Source: Mehr News Agency)



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The Key To Staying Relevant In The Age Of AI

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In today’s rapidly evolving technological landscape, artificial intelligence (AI) is transforming industries, reshaping the workforce, and redefining the rules of competition. What was once science fiction is now embedded in our everyday lives—from intelligent virtual assistants and automated customer service bots to advanced predictive analytics in healthcare and finance. As AI continues to expand its capabilities, individuals and organizations face an urgent question: How do we stay relevant in the age of AI?

The answer lies not in resisting the inevitable, but in adapting to it, embracing a mindset of lifelong learning, cultivating uniquely human skills, and strategically leveraging AI as a collaborator rather than a competitor.

1. Embrace Lifelong Learning

The most crucial shift in the AI era is a philosophical one: learning must never stop. In the past, a university degree could set the course for an entire career. Today, the half-life of skills—the time it takes for a skill to become half as valuable—continues to shrink, with estimates placing it at around five years or less in many tech-driven fields.

To stay relevant, individuals must continuously update their knowledge base. This doesn’t always mean going back to school. Online platforms like Coursera, edX, and LinkedIn Learning offer flexible, up-to-date courses in data science, digital marketing, cybersecurity, and AI fundamentals. Microlearning, bootcamps, and professional certifications can also offer rapid upskilling in key areas.

Staying relevant in the AI age means evolving as fast as the technology itself.

2. Cultivate Uniquely Human Skills

AI excels at tasks that are repetitive, data-driven, or logic-based. However, there are limits to what AI can replicate—especially when it comes to human empathy, ethics, creativity, and emotional intelligence.

Skills such as:

Critical thinking – evaluating information, making sound decisions, and solving novel problems.

Communication – articulating complex ideas clearly, listening actively, and collaborating across diverse teams.

Creativity – thinking divergently, innovating, and imagining new possibilities.

Empathy and leadership – understanding human emotions and guiding people effectively.

These are competencies that remain difficult for AI to emulate and therefore represent a core area where humans hold a lasting advantage.

Workers who can integrate both technical and soft skills—what some call “T-shaped professionals”—are particularly valuable. They have deep knowledge in one area (like AI programming or design thinking) and broad capabilities across disciplines, making them adaptable and cross-functional.

3. Learn to Collaborate With AI

Rather than fearing that AI will take jobs, the more productive outlook is to ask, “How can I use AI to enhance my work?”

Consider AI not as a rival, but as a tool for augmentation. For example:

A content creator can use AI to generate initial drafts or brainstorm headlines faster.

A data analyst can leverage machine learning models to uncover patterns that would take days to detect manually.

A marketer can personalize customer interactions using AI-powered recommendation engines.

Professionals who understand how to work with AI systems—inputting the right data, interpreting AI outputs, and making informed decisions—will become indispensable. This is particularly true in fields like healthcare, finance, law, and engineering, where AI can offer insights, but human oversight remains critical.

4. Stay Curious and Adaptable

In the age of AI, agility is the new security. Industries will change. Job descriptions will evolve. Roles will emerge that don’t even exist today. The ability to remain open, curious, and agile is far more valuable than expertise in a single tool or platform.

Cultivating a “growth mindset”—a belief that abilities and intelligence can be developed through effort and persistence—is crucial. People with growth mindsets are more likely to embrace change, learn from failures, and reinvent themselves in response to new challenges.

Being adaptable also means paying attention to trends and shifts in your industry. Subscribing to tech newsletters, attending webinars, joining professional communities, or simply staying informed can help you anticipate changes before they disrupt your work.

5. Ethical Awareness and Human-Centered Thinking

AI raises profound ethical questions—around bias, privacy, transparency, and accountability. As the technology becomes more powerful, ethical literacy becomes a vital skill. Understanding not just what AI can do, but what it should do, is critical.

Whether you’re a developer, policymaker, or user, approaching AI with a human-centered mindset—prioritizing fairness, inclusivity, and long-term impact—ensures that technological progress aligns with human values. Individuals who can bridge technical knowledge with ethical reasoning will play an essential role in shaping responsible AI systems.

Final Thoughts

Staying relevant in the age of AI is less about outpacing machines and more about deepening what makes us distinctively human. The future belongs to those who can learn continuously, think critically, act ethically, and collaborate seamlessly with intelligent systems.

Rather than fearing the rise of AI, we must see it as an opportunity—an invitation to reimagine how we work, learn, and contribute in a world where change is the only constant. As AI takes over more routine tasks, our job is to do what AI cannot: lead with heart, think with nuance, and innovate with purpose.

In the end, staying relevant is not about resisting the future—it’s about becoming ready for it.



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