What is “Vibe-Coding”? Here is why Alexandr Wang thinks it’s a game-changer for young programmers

 

What is “Vibe-Coding”? Here is why Alexandr Wang thinks it’s a game-changer for young programmers

Alexandr Wang, the 28-year-old cofounder of Scale AI and Meta’s chief AI officer, is urging young tech enthusiasts to immerse themselves in “vibe-coding”—hands-on experimentation with AI coding tools. Speaking on the TBPN podcast, Wang stressed that early engagement with AI tools could become a career-defining advantage, much like personal computers were for Bill Gates and Mark Zuckerberg.

“Young people who dedicate time to mastering these tools now will gain an edge in the future economy,” Wang said. “It’s a moment of opportunity that won’t last forever.”

The rise of Vibe-Coding

Vibe-coding is a term Wang uses to describe learning AI programming through natural language prompts and iterative experimentation. Unlike traditional coding, which often relies on structured learning, vibe-coding encourages unstructured tinkering—testing AI tools, understanding their limits, and creating workflows that optimise productivity.

Wang compares this approach to the early experiences of tech founders: those who grew up experimenting with computers in the 1980s and 1990s gained a disproportionate advantage as the digital economy exploded. “When personal computers first came about, those who spent the most time with them had immense advantages in the future economy,” Wang explained on the TBPN podcast. “I think that moment is happening right now with AI.”

Why young programmers should care

The rise of automation and AI is reshaping the tech job market. Entry-level positions are shrinking as companies rely more on AI to handle coding, testing, and even project management. Wang argues that the solution for young professionals isn’t to compete with AI—but to learn to use it effectively.

By logging thousands of hours experimenting with AI tools, young programmers can build skills that far outpace peers who rely solely on formal education. Wang calls it a “huge advantage” for those willing to put in the time. The concept mirrors the 10,000-hour rule popularised in talent development: deep practice over long periods leads to mastery.

Other tech leaders are echoing this sentiment. Sebastian Siemiatkowski, CEO of Klarna, has said AI programming tools now allow him to build prototypes in 20 minutes—a task that previously took weeks of engineering back-and-forth. This kind of productivity boost is only possible for those comfortable interacting with AI systems daily.

Alexandr Wang’s journey and credibility

Wang became the youngest self-made billionaire at 25 after launching Scale AI at age 19. Today, Scale AI is valued at around $7 billion. In June 2025, Meta CEO Mark Zuckerberg entrusted Wang with leading Meta’s AI operations, following a $14.3 billion investment in the company.

“I’ve been radicalised by AI coding,” Wang said on the TBPN podcast. “You just have to figure out how to use the tools maximally. Those who do will have a tremendous advantage in the next decade.”

Opportunity for young workforce

For Gen Z and younger millennials entering the tech industry, Wang’s message is urgent: early, hands-on experimentation with AI is no longer optional—it is essential. Unlike traditional coding education, which can lag behind industry trends, vibe-coding equips young workers with practical, market-ready skills that companies increasingly demand.

Those who embrace the approach can differentiate themselves in a crowded job market, create faster prototypes, and innovate at a pace previously impossible. For career-minded teens and early professionals, vibe-coding represents not just a learning opportunity but a potential springboard to leadership roles in AI-driven tech companies.

The takeaway

Alexandr Wang’s advice is clear: start vibe-coding now. For young programmers, experimenting with AI isn’t just a hobby—it’s a strategic investment in their careers. As automation reshapes the tech workforce, those who master AI tools early could emerge as the next generation of tech leaders, innovators, and entrepreneurs.

Former Cisco CEO's dangerous prediction goes beyond AI will destroy jobs; says 50% of Fortune 500 companies will disappear

 

Former Cisco CEO's dangerous prediction goes beyond AI will destroy jobs; says 50% of Fortune 500 companies will disappear

Former Cisco Systems CEO John Chambers has issued a stark warning about the future impact of artificial intelligence (AI). While concerns about AI replacing human jobs have already been widely discussed, Chambers believes the disruption will go far deeper. “You are probably going to see 50% of the Fortune 500 companies disappear and 50% of the executives of the Fortune 500 disappear,” he said in a recent interview with Fortune.

Chambers, who led Cisco through the internet boom of the late 1990s and the painful crash that followed, compared today’s AI wave to the dot-com era. But he stressed that the pace and consequences of AI adoption are far more dramatic. “AI is moving at five times the speed and will produce three times the outcomes of the internet age,” he said, pointing out that startups are now able to develop products in weeks rather than years.

The former CEO cautioned that such rapid transformation will create both winners and losers. “Is there going to be a train wreck? Yes, for those that aren’t able to translate the technology into a sustainable competitive advantage,” Chambers said. He warned that while some companies will thrive, others will vanish because their leaders lack the ability to adapt quickly enough to the new innovation economy.

Former Cisco CEO on job loss due to AI

On the jobs front, Chambers echoed a concern that has been raised by many industry leaders but with an even sharper edge. “If I am right about AI moving at five times the speed of the internet, we are going to destroy jobs faster than we can replace them,” he explained. He acknowledged that new roles will eventually be created, but not before a painful period of adjustment. “There is going to be a drought while we have to re-educate lots of people,” he said

According to Chambers, both white-collar and blue-collar entry-level jobs are most at risk in the immediate future. To counter this, he urged governments and companies to rethink education and training systems. “We need to change education. Entry-level jobs, both white and blue collar, are going to disappear fast,” he warned.

Despite his concerns, Chambers also sees potential for AI to drive productivity and economic growth—if businesses reinvest their gains. But he believes only those companies that can quickly reinvent themselves will survive. “With the speed the market is moving at now, you have to be able to reinvent yourself, which most CEOs and business leaders don’t know how to do, especially with AI,” he said.

For Chambers, the current moment represents the most uncertain global business climate he has ever witnessed. He described it as “the new normal” and said leaders who fail to adapt will be left behind.

Optical illusion personality test: Man or woman? What you see first reveals if you focus on details or the big picture

 

Optical illusion personality test: Man or woman? What you see first reveals if you focus on details or the big picture

Optical illusion personality tests are simple and fun tests that can decode a person's true traits within seconds. But, how? These images are strange-looking, and they have one or more elements in them that trick the eyes. Depending on what a person notices first in the image, a lot can be revealed about their true nature as these images are based on psychology.

This particular image claims to reveal if a person is a keen observer or look at the bigger picture. At first glance at the weird picture, a person can either see a man or a woman. Depending on what they notice first, a lot can be decoded about their true nature.

Intriguing, right? To take this test, simply close your eyes, relax, and look at the picture with a fresh mind. Notice what caught your attention first-- the man or the woman-- in the image. Now, read its interpretation below:

1. If you saw the woman in the picture first, it means...You likely have a keen eye for detail and tend to notice the little things others might miss. This shows you’re observant, emotionally in tune, and often deeply connected to the world around you. People find comfort in your presence, appreciating your supportive and understanding nature. These traits reflect a nurturing personality that’s often considered more traditionally feminine—calm, caring, and attentive. Whether it’s in relationships or daily life, you make others feel seen and valued. Your ability to tune into both emotions and small nuances is a strength that sets you apart in today’s fast-paced world.

2. If you saw the man in the picture first, it means...You’re someone who naturally sees the bigger picture and focuses on the overall vision rather than getting caught up in tiny details. While you may sometimes overlook subtle cues or hidden meanings, your strength lies in understanding broader patterns and long-term goals. You prefer clear communication and often need specifics to be spelled out, which helps you stay focused on what truly matters. Your perspective is valuable in group settings, as you bring clarity, direction, and a strategic mindset. Big-picture thinkers like you are often the ones who drive innovation and lead others toward meaningful progress.

How true was this test result for you and do you agree with it? Tell us your views in the comments section below.

If you liked this test, then do share it with your friends and family to know them better. Also, do checkout other similar tests to know on our website to know yourself better.

Think you are fearless? Humans will always fear these 2 things no matter what, says science

 

Think you are fearless? Humans will always fear these 2 things no matter what, says science

Despite the modern narrative of humans being fearless or bold by nature, science tells a different story. Humans aren’t born with a long list of phobias. In fact, psychologists and neuroscientists agree that we only come into the world hardwired with two basic fears: the fear of falling and the fear of loud noises. These two serve a fundamental purpose—protecting us from harm in our earliest and most vulnerable stages.

One of the most cited pieces of evidence is the “visual cliff” experiment from 1960. In this setup, infants aged 6 to 14 months were placed on a platform with a transparent surface that gave the illusion of a drop. Despite encouragement from trusted caregivers, most babies would not crawl across the glass section. This reaction wasn’t something they were taught. It showed a natural fear of falling—something deeply rooted in our instincts. Babies who hadn’t yet started crawling didn’t show as much concern, suggesting that the development of movement plays a role in reinforcing this inborn fear.

Similarly, the fear of loud noises is seen right from birth. Sudden, sharp sounds—like the clanging of metal or a bursting balloon—can cause a newborn to flinch, cry, or display distress. This reaction is called the acoustic startle reflex. According to neuroscientist Seth Norrholm, this reflex is automatic and wired into the brain’s primitive survival systems. Loud noises are universally interpreted as signals of potential danger, which is why even a baby with no prior experience of the world reacts to them.

Learned Fears Begin with Experience

While these two fears are inborn, all other fears—be it spiders, darkness, or public speaking—are acquired through life. These are shaped by culture, upbringing, and personal experience.

The famous “Little Albert” experiment from the early 20th century is often referenced when discussing learned fears. A young child who was originally indifferent to a white rat began fearing it after it was repeatedly paired with loud, startling noises. Over time, the child began to associate the rat alone with fear, demonstrating how easily fear can be conditioned.

When it comes to things like fear of snakes or spiders, infants don’t start off frightened. Research shows they may notice these creatures more quickly than others, but that’s not the same as fear. It’s only through learned associations—perhaps stories, parental cues, or traumatic experiences—that children come to fear them.

Even something as common as a fear of the dark can be traced back to imagination and storytelling. Toddlers aren’t afraid of the absence of light itself—they respond to what they’ve been told could be lurking in it.

If Fear Can Be Learned, It Can Be Unlearned

This understanding that most fears are not innate but learned has wide-reaching implications. If a fear can be developed through life, it can also be reduced or even reversed through exposure, therapy, or conscious effort.

Many psychologists and therapists use this insight to encourage individuals facing anxiety or phobias. Recognizing that public speaking fear or social rejection anxiety wasn’t part of our original design can be empowering. It means the emotional weight of those fears can be lightened with time and effort.

As the saying often goes in self-help and mental health circles: we're only born with the fear of falling and loud noises. Everything else, we pick up along the way.

Two-faced moon: New study reveals moon’s near and far sides are more different than thought

 

Two-faced moon: New study reveals moon’s near and far sides are more different than thought

The near and far hemispheres of Earth’s only natural satellite are so unlike one another, it’s remarkable that they’re situated on the same celestial sphere. Now, recent research indicates that they’re even more dissimilar than astronomers believed. Research published Tuesday in the journal Nature Geoscience discovered evidence to indicate that the interior of the Moon’s mysterious far side may be considerably colder than the near side, which continuously faces Earth. As per the authors, the findings show that the geological contrasts between the Moon’s two faces extend far beneath the surface, bringing astronomers closer to knowing why they’re so different.

“It is one of the great mysteries of the Moon,” co-author Yang Li, an associate professor of Earth and planetary sciences at the University College London and Peking University, stated in a UCL release. “We call it the two-faced Moon. A dramatic difference in temperature between the near and far side of the mantle has long been hypothesised, but our study provides the first evidence using real samples.”

Geological Contrasts

Astronomers previously assumed that the Moon’s near and far sides were almost similar, but over the past 60 years of in-depth observation, geological differences have become significant. Only 1% of the far side contains maria, dark plains created by ancient volcanic eruptions when compared with 31% coverage on the near side. Findings from several lunar orbiters also suggest that rocks from the far side have distinctly contrasting chemical compositions than those on the near side. NASA’s twin GRAIL orbiters found out that the far side’s crust is approximately 12 miles (20 kilometers) thicker than the near side’s.

These differences are thought to track back to the Moon’s formation and evolution, which are closely linked to Earth’s history. Scientists generally believe that both Earth and its satellite formed following a Mars-sized object collided with the proto-Earth nearly 4.5 billion years ago. Observing these geological discrepancies offers valuable insight into our planet’s origin story.

Insights from Chang’e 6

The samples evaluated by Li and his team were gathered by China’s Chang’e 6 spacecraft, which landed on the Moon’s far side in May 2024. Analysis of the 2.8-billion-year-old rock indicates that it formed from lava deep beneath the lunar surface at approximately 2,012°F (1,100°C), about 200°F (100°C) cooler than similar near-side samples.

While the research did not directly examine current temperatures, the researchers found that these thermal contrasts likely persisted over billions of years. The cooler far-side interior may result from having less heat-producing radioactive factors like uranium, thorium, and potassium.

Possible Explanations

Some scientists indicate that the uneven distribution of these factors could be the result of a massive asteroid impact on the far side, which displaced denser, radioactive-rich material toward the near side. Others indicate that the Moon may have collided with a smaller satellite early in its history, making thermally different regions. Another hypothesis is that the near side’s interior remains warmer in regard to the Earth’s gravitational impact.

Regardless of the cause, the Chang’e 6 samples confirm yet another puzzling contrast between the Moon’s two faces. Knowing the complete implications of these contrasts for the Moon’s history and evolution will need further study, leaving scientists with more questions than answers for the time being.

FAQs:

Q1. Why is the Moon called two-faced?The Moon’s near and far sides have distinct geological traits. The far side is thicker, colder, and has fewer maria than the near side.

Q2. What is Maria on the Moon?Maria are dark plains formed by ancient volcanic eruptions. They cover 31% of the near side but only 1% of the far side.

New telescope cuts through space noise in search for Earth-like planets: PoET and PLATO

 

New telescope cuts through space noise in search for Earth-like planets: PoET and PLATO

Across the billions of stars and galaxies in the universe, Earth remains the only known planet to host life. Yet, the search for other habitable worlds drives scientists to develop ever-smarter observational tools. Despite cataloguing over 6,000 exoplanets, astronomers have yet to find a true Earth analogue, a planet similar in size and orbit to our own, circling a star like the Sun. The main challenge lies in detecting these worlds around sun-like stars, as they appear tiny and faint against the brightness of their host stars. New European Union-funded telescopes are now set to change that.

Stellar noise around sun-like stars makes finding Earth twins difficult

While smaller red dwarf stars have yielded rocky planets similar in size to Earth, locating such planets around stars like our Sun is far more difficult. The brightness and activity of these stars create "stellar noise," which obscures the faint signals of planets passing in front of them. Sun-like stars produce surface phenomena such as granulation patterns and magnetic activity, making it incredibly difficult to isolate the tiny dips in starlight caused by orbiting planets.

Dr Nuno Santos, a leading Portuguese astrophysicist, emphasises the problem: “If you look at the surface of the Sun, it looks like a boiling pot of water, speckled with darker and brighter regions. The big issue is that we don’t really understand how to diagnose this noise that comes from the star.”

PoET: Cutting through the stellar noise

To tackle this challenge, Santos and his team at the Institute for Astrophysics and Space Sciences in Portugal are developing a new solar telescope: PoET (Paranal Solar Espresso Telescope). As part of the EU-funded FIERCE initiative, PoET is designed to analyse the Sun’s surface in extraordinary detail, measuring the chemical and physical processes that produce stellar noise.

The 60-centimetre telescope will be installed in Chile, operating alongside the Very Large Telescope (VLT) in the Atacama Desert. By focusing on our own Sun, PoET will generate data to improve the detection of Earth-like planets around other sun-like stars.

PoET will work in tandem with ESPRESSO (Echelle SPectrograph for Rocky Exoplanets and Stable Spectroscopic Observations), an instrument designed to separate starlight into its spectral components. By understanding the Sun’s behaviour and filtering out its noise, astronomers can refine techniques to detect the subtle signals of distant exoplanets.

Preparing for PLATO

The European Space Agency’s PLATO (PLAnetary Transits and Oscillations of stars) mission, launching in 2026, aims to identify Earth-like worlds around Sun-like stars. Equipped with 26 cameras, PLATO will monitor over a million stars, measuring planet radii and enabling density and composition calculations, even across vast interstellar distances.

Observations from PoET will be essential to reducing stellar noise, allowing PLATO to make precise measurements. “We have to find a way to get rid of this noise to be able to fully exploit the data from the upcoming PLATO mission,” says Santos.

PoET is expected to begin observations by the end of 2025 and will continue for three years, with daytime solar studies complementing ESPRESSO’s night-time exoplanet observations.

The importance of stellar noise analysis

Stellar noise arises from magnetic fields, sunspots, and granulation patterns on the star’s surface. These variations mimic or obscure the tiny dips in starlight that indicate a planet transit. By mapping these effects in our Sun, astronomers can develop methods to filter similar noise from distant stars, enhancing the likelihood of detecting true Earth analogues.

The synergy between PoET and ESPRESSO provides Europe with a critical edge in the global hunt for habitable planets.

How PoET and PLATO are shaping the future of exoplanet exploration

The data from PoET will pave the way for more advanced missions in the decades ahead. NASA’s Habitable Worlds Observatory, expected in the 2040s, and next-generation European telescopes, due by 2030, aim to directly image exoplanets and search for signs of life.

Until then, missions like PLATO, supported by PoET’s stellar noise research, will help astronomers map how many Earth-like worlds exist and where they are located. As Santos notes, “The quest for Earth orbiting other suns is one of the big questions we have.”

Telescopes like PoET and PLATO are pushing the boundaries of observational astronomy, offering new insights into our galaxy and the potential for life beyond Earth.

Strongest evidence of life found on Saturn’s icy moon Enceladus, scientists reveal

Strongest evidence of life found on Saturn’s icy moon Enceladus, scientists reveal

A small icy moon orbiting Saturn has become the centre of a major scientific breakthrough. Fresh data now suggests that Enceladus, with its hidden ocean and chemical-rich environment, may hold the key to understanding how life begins beyond Earth.

Are Life’s Ingredients Present on Enceladus?

Astronomers have confirmed that essential molecular building blocks for life are present on Saturn’s moon Enceladus. At just 314 miles http://wide, the icy world contains liquid water beneath its frozen crust and a source of hydrothermal energy, raising hopes of potential habitability.

Two decades ago, NASA’s Cassini spacecraft first revealed signs of a vast subsurface ocean ejecting ice particles from cracks near the moon’s south pole. Within these icy grains, scientists previously found five of the six elements vital for life: carbon, hydrogen, nitrogen, oxygen, and phosphorus. Only sulphur remained undetected. However, many of those findings came from particles that had floated in Saturn’s E ring for centuries, leaving doubts about their origin.

Now, fresh ice grains freshly sprayed from Enceladus have provided new evidence of the existence of organic molecules, potentially including nitrogen and oxygen. These results, published in Nature Astronomy, validate the notion that the moon's internal ocean has the chemical toolset life needs.