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AI-induced cultural stagnation is no longer speculation − it’s already happening

AI-induced cultural stagnation. A 2026 study by researchers revealed that when generative AI operates autonomously, it produces homogenous content, referred to as “visual elevator music,” despite diverse prompts. This convergence leads to bland outputs and indicates a risk of cultural stagnation as AI perpetuates familiar themes, potentially limiting innovation and diversity in creative expression.

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Elevator with people in modern building.
When generative AI was left to its own devices, its outputs landed on a set of generic images – what researchers called ‘visual elevator music.’ Wang Zhao/AFP via Getty Images

Ahmed Elgammal, Rutgers University

Generative AI was trained on centuries of art and writing produced by humans.

But scientists and critics have wondered what would happen once AI became widely adopted and started training on its outputs.

A new study points to some answers.

In January 2026, artificial intelligence researchers Arend Hintze, Frida Proschinger Åström and Jory Schossau published a study showing what happens when generative AI systems are allowed to run autonomously – generating and interpreting their own outputs without human intervention.

The researchers linked a text-to-image system with an image-to-text system and let them iterate – image, caption, image, caption – over and over and over.

Regardless of how diverse the starting prompts were – and regardless of how much randomness the systems were allowed – the outputs quickly converged onto a narrow set of generic, familiar visual themes: atmospheric cityscapes, grandiose buildings and pastoral landscapes. Even more striking, the system quickly “forgot” its starting prompt.

The researchers called the outcomes “visual elevator music” – pleasant and polished, yet devoid of any real meaning.

For example, they started with the image prompt, “The Prime Minister pored over strategy documents, trying to sell the public on a fragile peace deal while juggling the weight of his job amidst impending military action.” The resulting image was then captioned by AI. This caption was used as a prompt to generate the next image.

After repeating this loop, the researchers ended up with a bland image of a formal interior space – no people, no drama, no real sense of time and place.

A collage of AI-generated images that begins with a politician surrounded by policy papers and progresses to a room with fancy red curtains.
A prompt that begins with a prime minister under stress ends with an image of an empty room with fancy furnishings. Arend Hintze, Frida Proschinger Åström and Jory Schossau, CC BY

As a computer scientist who studies generative models and creativity, I see the findings from this study as an important piece of the debate over whether AI will lead to cultural stagnation.

The results show that generative AI systems themselves tend toward homogenization when used autonomously and repeatedly. They even suggest that AI systems are currently operating in this way by default.

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The familiar is the default

This experiment may appear beside the point: Most people don’t ask AI systems to endlessly describe and regenerate their own images. The convergence to a set of bland, stock images happened without retraining. No new data was added. Nothing was learned. The collapse emerged purely from repeated use.

But I think the setup of the experiment can be thought of as a diagnostic tool. It reveals what generative systems preserve when no one intervenes.

A rolling, green field with a tree and a clear, blue sky.
Pretty … boring. Chris McLoughlin/Moment via Getty Images

This has broader implications, because modern culture is increasingly influenced by exactly these kinds of pipelines. Images are summarized into text. Text is turned into images. Content is ranked, filtered and regenerated as it moves between words, images and videos. New articles on the web are now more likely to be written by AI than humans. Even when humans remain in the loop, they are often choosing from AI-generated options rather than starting from scratch.

The findings of this recent study show that the default behavior of these systems is to compress meaning toward what is most familiar, recognizable and easy to regenerate.

Cultural stagnation or acceleration?

For the past few years, skeptics have warned that generative AI could lead to cultural stagnation by flooding the web with synthetic content that future AI systems then train on. Over time, the argument goes, this recursive loop would narrow diversity and innovation.

Champions of the technology have pushed back, pointing out that fears of cultural decline accompany every new technology. Humans, they argue, will always be the final arbiter of creative decisions.

What has been missing from this debate is empirical evidence showing where homogenization actually begins.

The new study does not test retraining on AI-generated data. Instead, it shows something more fundamental: Homogenization happens before retraining even enters the picture. The content that generative AI systems naturally produce – when used autonomously and repeatedly – is already compressed and generic.

This reframes the stagnation argument. The risk is not only that future models might train on AI-generated content, but that AI-mediated culture is already being filtered in ways that favor the familiar, the describable and the conventional.

Retraining would amplify this effect. But it is not its source.

This is no moral panic

Skeptics are right about one thing: Culture has always adapted to new technologies. Photography did not kill painting. Film did not kill theater. Digital tools have enabled new forms of expression.

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But those earlier technologies never forced culture to be endlessly reshaped across various mediums at a global scale. They did not summarize, regenerate and rank cultural products – news stories, songs, memes, academic papers, photographs or social media posts – millions of times per day, guided by the same built-in assumptions about what is “typical.”

The study shows that when meaning is forced through such pipelines repeatedly, diversity collapses not because of bad intentions, malicious design or corporate negligence, but because only certain kinds of meaning survive the text-to-image-to-text repeated conversions.

This does not mean cultural stagnation is inevitable. Human creativity is resilient. Institutions, subcultures and artists have always found ways to resist homogenization. But in my view, the findings of the study show that stagnation is a real risk – not a speculative fear – if generative systems are left to operate in their current iteration.

They also help clarify a common misconception about AI creativity: Producing endless variations is not the same as producing innovation. A system can generate millions of images while exploring only a tiny corner of cultural space.

In my own research on creative AI, I found that novelty requires designing AI systems with incentives to deviate from the norms. Without it, systems optimize for familiarity because familiarity is what they have learned best. The study reinforces this point empirically. Autonomy alone does not guarantee exploration. In some cases, it accelerates convergence.

This pattern already emerged in the real world: One study found that AI-generated lesson plans featured the same drift toward conventional, uninspiring content, underscoring that AI systems converge toward what’s typical rather than what’s unique or creative.

AI-induced cultural stagnation. A cityscape of tall buildings on a fall morning.
AI’s outputs are familiar because they revert to average displays of human creativity. Bulgac/iStock via Getty Images

Lost in translation

Whenever you write a caption for an image, details will be lost. Likewise for generating an image from text. And this happens whether it’s being performed by a human or a machine.

In that sense, the convergence that took place is not a failure that’s unique to AI. It reflects a deeper property of bouncing from one medium to another. When meaning passes repeatedly through two different formats, only the most stable elements persist.

But by highlighting what survives during repeated translations between text and images, the authors are able to show that meaning is processed inside generative systems with a quiet pull toward the generic.

The implication is sobering: Even with human guidance – whether that means writing prompts, selecting outputs or refining results – these systems are still stripping away some details and amplifying others in ways that are oriented toward what’s “average.”

If generative AI is to enrich culture rather than flatten it, I think systems need to be designed in ways that resist convergence toward statistically average outputs. There can be rewards for deviation and support for less common and less mainstream forms of expression.

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The study makes one thing clear: Absent these interventions, generative AI will continue to drift toward mediocre and uninspired content.

Cultural stagnation is no longer speculation. It’s already happening.

Ahmed Elgammal, Professor of Computer Science and Director of the Art & AI Lab, Rutgers University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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The Knowledge

2025 was hotter than it should have been – 5 influences and a dirty surprise offer clues to what’s ahead

The past three years recorded unprecedented global heat, with 2025 being particularly warm. Factors such as greenhouse gas emissions and a decline in solar activity influenced temperatures and extreme weather patterns.

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AdobeStock 359078360
Sunset view of the Brooklyn bridge from the Brooklyn park with a lower Manhattan view on the other side of the Hudson river.

Michael Wysession, Washington University in St. Louis

The past three years have been the world’s hottest on record by far, with 2025 almost tied with 2023 for second place. With that energy came extreme weather, from flash flooding to powerful hurricanes and severe droughts. Yet, by most indicators, the planet should have been cooler in 2025 than it was.

So, what happened, and what does that say about the year ahead?

As an earth and environmental scientist, I study influences that affect global temperatures year to year, such as El Niño, wildfires and solar cycles. Some make Earth hotter. Some make it cooler. And one particularly unhealthy influence has been quietly hiding a large amount of global warming – until now.

Chart shows temperatures rising
The past three years have been the warmest on record. The chart compiled by the European Union’s Copernicus Climate Change Service shows the comparison to preindustrial-era temperatures in the second half of the 1800s. C3S/ECMWF

Factors that made 2025 cooler than 2024

The Earth’s climate is the result of many factors that change from year to year. Some that helped make 2025 cooler than 2024 include:

La Niña’s arrival: La Niña is part of the El Niño-Southern Oscillation, a natural climate pattern that fluctuates between warm El Niño conditions and cooler La Niña conditions. During El Niño, the Pacific Ocean heats up along the equator, influencing the atmosphere in ways that can cause intense storms, droughts and heat waves around the planet. La Niña does the opposite; it’s like putting an ice pack on the atmosphere.

Both 2023 and 2024 were El Niño years, but in 2025 conditions shifted to neutral and then to La Niña starting in September.

The solar cycle: The Sun reached its solar maximum near the end of 2024, the peak of its energy output in an approximately 11-year cycle, and began declining in 2025. So, while the sun’s output was still stronger than average in 2025, it was less than in 2024.

Fewer wildfires: Despite some destructive blazes, the world also saw fewer wildfires during 2025 than 2024, which put less carbon dioxide – a planet-warming greenhouse gas – into the atmosphere.

How different factors affected temperature over a decade.
Major warming and cooling influences from 2016 to 2025. Each graph starts at 2016. Anthropogenic warming, natural carbon sinks and sulfur dioxide (SO2) reductions start from zero in 2016 to illustrate cumulative changes to existing reservoirs; El Niño/La Niña and the solar cycle show real-time influences on the global temperature, relative to mean values. Michael Wysession. Data: Global Carbon Project (Anthropogenic Global Warming, Natural Carbon Sinks); NOAA (El Niño/La Niña, Solar Cycle); SO2 Reductions (FaIR Analysis by Carbon Brief)

Despite those points, 2025 still ended up as the third-hottest year in over 175 years of record-keeping and likely one of the warmest in at least several thousand years. It was nearly as warm as 2023, at 2.6 degrees Fahrenheit (1.47 Celsius) above the 1850-1900 average, according to the European Union’s Copernicus Climate Change Service. It also had the second-highest average land temperature recorded, up 3.6 F (2 C) compared to preindustrial years, with more than 10% of the land experiencing record-high temperatures.

Factors that made 2025 warmer than expected

Several other factors made 2025 warmer than expected, and some are likely to continue to increase in 2026. They include:

Greenhouse gas emissions: The big driver of global warming is excess greenhouse gas emissions, largely from burning fossil fuels, and 2025 had plenty.

Greenhouse gases trap heat near Earth’s surface like a blanket, raising the temperature. They also linger in the atmosphere for years to centuries, meaning gases released today will continue to warm the planet well into the future. The levels of carbon dioxide, methane and nitrous oxide in the atmosphere all increased in 2025.

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Coal is the largest source of carbon dioxide emissions, followed by oil and gas.
Sources of worldwide carbon dioxide emissions that have grown the most in recent decades. Carbon Brief, CC BY

Rising energy demand drove an increase in fossil fuel use. About 80% of the increasing electric power demand came from emerging economies, largely for rising air conditioning demands as the world gets hotter. In the U.S., the rapid growth of data centers for AI and cryptocurrency mining helped boost U.S. carbon dioxide emissions by 2.4%.

China has become the largest carbon dioxide emitter in the past 20 years. U.S. emissions have fallen.
Countries that have been the largest sources of carbon dioxide emissions in recent decades. Carbon Brief, CC BY

Earth’s energy imbalance: Other sources can disrupt the natural balance between the amount of sunlight that reaches Earth and the lesser amount radiated back to space. A recent study found that Earth’s energy uptake surged and temperatures rose quickly when a rare three-year La Niña in 2020-2022 shifted to El Niño in 2023-2024.

Declining polar ice, which efficiently reflects sunlight back into space, also affects the energy balance. As sea ice declines, it leaves dark ocean water that absorbs most of the sunlight that reaches it. In a spiraling feedback, warmer water melts sea ice, allowing more sunlight into the ocean, warming it faster; 2025 had the lowest winter peak of Arctic sea ice on record and the third-lowest minimum extent of Antarctic ice.

https://datawrapper.dwcdn.net/t0SSd/1

Air pollution: Sulfate aerosol pollution from coal combustion and burning heavy fuel oil in shipping has also been affecting Earth’s energy balance. It has been masking the full effects of human-caused greenhouse gases for years by reflecting sunlight back into space, creating a cooling effect. But sulfate aerosol pollution is also a serious health hazard, blamed for about 8 million human deaths per year from lung diseases.

Recent reductions in sulfate pollution – now 40% less than 20 years ago – have meant about a 0.2 F (0.13 C) increase in global temperatures. Much of the reduction was from China’s efforts to reduce its notoriously bad air pollution in recent years and international shipping rules in effect since 2020 that have reduced sulfur emissions from large ships by 85%.

Lines show 2025 was among lost sea ice years for both Arctic and Antarctic sea ice.
Sea ice levels were near record lows for both Arctic and Antarctic ice in 2025. Carbon Brief, CC BY

Taking all factors together, humans are now warming the planet at a faster rate than at any point in human history: at about 0.5 F (0.27 C) per decade. That extra heat can fuel extreme weather, including flash floods, heat waves, extended droughts, wildfires and coastal flooding, affecting human lives and economies.

Predictions for 2026

Most climate models predict 2026 will be about as hot as 2025, depending on whether a Pacific El Niño develops, which forecasters give about a 60% chance of happening. The planet is already starting the year out warm, even if it doesn’t feel like that everywhere. While January was very cold in parts of the U.S., globally, Earth saw its fifth-warmest January on record, and much of the western U.S. saw one of its warmest winters on record.

Solar output will continue to decrease slowly in 2026. However, the International Monetary Fund projects strong global economic growth at about 3.3%, suggesting electricity demand will also continue to grow. The International Energy Agency expects global electricity demand to increase by 3.6% per year through at least 2030.

Even though global renewable energy use is growing quickly, it isn’t growing fast enough to meet rising demand, meaning more fossil fuel use in the coming years. More fossil fuels burned means more emissions and more warming, while the ability of the ocean and land to absorb carbon dioxide continues to decrease. As a result, the atmosphere and oceans heat up, increasing the risks of passing tipping points – glaciers disappear, Atlantic Ocean circulation shuts down, permafrost thaws, coral reefs die.

If greenhouse gas emissions continue at a high rate, humanity may look back at 2025 as one the coolest years globally in the rest of our lives.

Michael Wysession, Professor of Earth, Environmental, and Planetary Sciences, Washington University in St. Louis

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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After the Blood Moon: Scientists and Skywatchers React to the March 3, 2026 Total Lunar Eclipse

The March 3, 2026 total lunar eclipse amazed skywatchers worldwide. Scientists and amateur astronomers share reactions and photos from the dramatic blood moon event.

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Last Updated on March 5, 2026 by Daily News Staff

Millions of people around the world looked to the sky in the early hours of March 3, 2026 to witness one of the most striking astronomical events of the year — a total lunar eclipse, often referred to as a “Blood Moon.” As the Moon passed completely into Earth’s shadow, it transformed from its familiar silver glow into a deep copper-red color, captivating observers from North America to Asia and across the Pacific.

AdobeStock 217349871


Blood Moon Aftermath: Scientists and Skywatchers React to the March 3, 2026 Total Lunar Eclipse

For viewers in the western United States, including Arizona and California, the eclipse occurred just before sunrise. The timing created a dramatic scene as the reddish Moon hovered low in the western sky while the eastern horizon began to brighten with dawn.

A Global Skywatching Event

Total lunar eclipses occur when the Sun, Earth, and Moon align so that Earth’s shadow completely covers the Moon. During the March 3 event, the Moon spent nearly an hour fully inside the darkest part of Earth’s shadow, known as the umbra. During this phase, sunlight filtered through Earth’s atmosphere projected reddish light onto the Moon’s surface, creating the dramatic “blood moon” effect.

Astronomers noted that the event was particularly significant because total lunar eclipses are relatively infrequent. While partial eclipses occur more often, a full eclipse visible across large portions of the globe remains a memorable experience for both scientists and casual observers.

Scientists Explain the Phenomenon

According to researchers at NASA, the reddish color seen during totality occurs because Earth’s atmosphere scatters shorter wavelengths of sunlight — such as blue — while allowing longer red wavelengths to pass through. This filtered light is then bent, or refracted, into Earth’s shadow and projected onto the Moon.

Planetary scientists say lunar eclipses provide a powerful visual demonstration of the geometry of the Earth–Moon–Sun system. The curved shadow moving across the Moon also historically served as one of the earliest pieces of evidence that Earth is spherical.

Researchers also point out that lunar eclipses offer opportunities to study Earth’s atmosphere. Variations in dust, volcanic particles, and atmospheric conditions can influence how dark or red the Moon appears during totality.

img 2221
Taken in North Phoenix around 5 AM MST March 3, 2026

Amateur Astronomers Share Their Views

While professional observatories monitored the eclipse with precision instruments, amateur astronomers and astrophotographers helped document the event from countless locations worldwide. Social media platforms and astronomy forums quickly filled with images showing the Moon’s color shifting from pale gray to orange and deep red.

Many skywatchers in the southwestern United States described the experience as particularly dramatic because the eclipse occurred just before moonset. Observers reported seeing the Moon glowing red above desert landscapes and city skylines before gradually fading into the brightening morning sky.

Astrophotographers also emphasized that lunar eclipses are among the easiest astronomical events to capture. Unlike solar eclipses, they can be photographed safely without special filters, making them accessible to beginners using smartphones as well as professionals using telescopes and high-end cameras.

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A Rare Pre-Dawn Sight

In parts of the western United States, some observers were able to witness a rare atmospheric phenomenon known as a selenelion, when both the eclipsed Moon and the rising Sun appear in the sky at the same time due to atmospheric refraction. The effect added an unusual visual element to an already impressive celestial event.

The combination of a deep red Moon and the approaching dawn created striking photographic opportunities and memorable moments for early-morning skywatchers.

When Is the Next Total Lunar Eclipse?

Although partial eclipses occur periodically, the next widely visible total lunar eclipse will not occur until late 2028. That makes the March 2026 eclipse one of the most notable skywatching events of the decade.

For many observers, the event served as a reminder that some of the most spectacular astronomical experiences require nothing more than stepping outside, looking up, and taking a moment to appreciate the universe above.

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🌕 Blood Moon Over Arizona: Total Lunar Eclipse Visible in Phoenix on March 3, 2026

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Last Updated on March 2, 2026 by Daily News Staff

Early risers in Arizona are in for a celestial show.

A total lunar eclipse will be visible in Phoenix on March 3, 2026. Here are exact viewing times, what to expect, and how to watch the Blood Moon in Arizona.

On Tuesday, March 3, 2026, a total lunar eclipse will be visible across much of North America — including Phoenixand the Valley. During this event, the Moon will pass completely into Earth’s shadow, turning a deep copper-red color often called a “Blood Moon.”

Here’s what you need to know.


Geometry of a Lunar Eclipse.svg
A schematic diagram of the shadow cast by Earth. Within the umbra, the central region, the planet totally shields direct sunlight. In contrast, within the penumbra, the outer portion, the sunlight is only partially blocked. SunMoon, and Earth sizes and distances between them not to scale.

🌍 What Is a Total Lunar Eclipse?

A total lunar eclipse happens when the Sun, Earth, and Moon align perfectly, with Earth positioned directly between the Sun and the Moon. As the Moon moves into Earth’s darkest shadow (the umbra), it doesn’t disappear — instead, it glows red.

That reddish color comes from sunlight filtering through Earth’s atmosphere — essentially, we’re seeing all the world’s sunrises and sunsets projected onto the Moon at once.


🕒 Phoenix Viewing Times (MST)

Arizona does not observe Daylight Saving Time in March, so these times are in Mountain Standard Time (MST).

  • 1:44 a.m. – Penumbral eclipse begins (subtle dimming begins)
  • 2:50 a.m. – Partial eclipse begins (Earth’s shadow becomes clearly visible)
  • 4:04 a.m. – Totality begins 🌕
  • 4:34 a.m. – Greatest eclipse
  • 5:03 a.m. – Totality ends
  • 6:18 a.m. – Partial eclipse ends
  • 7:20 a.m. – Penumbral eclipse ends
Lunar eclipse contact diagram.svg
Vectorised by User:Sushant savla from the work by Tomruen – File:Lunar eclipse contact diagram.png

The most dramatic portion — totality — lasts nearly one hour.


🌅 Where to Look in Phoenix

The eclipse happens in the pre-dawn hours, so the Moon will be low in the western sky as it sets.

For the best view:

  • Find a location with a clear western horizon
  • Avoid city light glare if possible
  • Consider desert viewpoints, parks, or elevated areas around the Valley

Because the Moon will be setting as the Sun begins to rise, the backdrop of early morning twilight could make for stunning photography.

AdobeStock 284042140

🔭 Do You Need Special Equipment?

No.

Unlike a solar eclipse, lunar eclipses are completely safe to view with the naked eye. However:

  • Binoculars enhance color detail
  • A small telescope reveals subtle shadow gradients
  • A tripod and DSLR or smartphone with night mode can capture impressive images

🌎 Why This Eclipse Matters

This will be one of the most accessible celestial events of 2026 for Arizona residents. Total lunar eclipses don’t happen every year in the same location, and the timing — just before sunrise — adds dramatic visual contrast.

If skies are clear, Phoenix could have a spectacular view.


📌 Quick Viewing Reminder for Phoenix

Set your alarm for around 3:45 a.m.

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Step outside by 4:00 a.m.

Look west

Watch the Moon turn red

No tickets. No crowds. Just the sky putting on a show.


For more science, space, and Arizona skywatching coverage, visit STM Daily News.


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