Comment

Comment by Dr. Krishna Kumari Challa on May 20, 2026 at 9:28am

The arXiv announcement doesn't come out against AI use, but rather says, "If a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can't trust anything in the paper."

This may be true as far as it goes. But the penalty—a year-long ban for all authors listed on a paper—may be out of keeping with current research practices.

In the past, research was often carried out by people working alone or in groups of two or three. In these circumstances, it seems reasonable to expect each author to take responsibility for the whole.

But research is now more collaborative than ever before. Many papers have four or five authors, and in a growing number of extreme cases papers may be credited to groups of hundreds of scientists working together, each working on their own specialty and trusting their colleagues to be doing the same.

In a case where one author of dozens or hundreds included an AI-hallucinated reference in their part of the paper, banning the lot seems harsh.

And there are no equivalent sanctions for publishing other problematic material. There's no ban for pushing fringe or discredited theories, or using poor quality evidence and illogical arguments, for example.
The rise of AI produces problems for publishers and quality assurance. And the idea of some kind of sanctions for reckless use of AI, such as included hallucinated references, is a good one.

original article.

Part 2

Comment by Dr. Krishna Kumari Challa on May 20, 2026 at 9:27am

A key science publishing platform is cracking down on AI slop

AI-generated text is on the rise everywhere. A study released last week suggests half of new articles published online are now "primarily AI-generated."
Science is not immune to this trend. Last month, the journal Organization Science published a study of how the rise of AI has affected submissions and peer reviews since the release of ChatGPT in 2022. Reporting a dramatic rise in submitted papers and a drop in quality, the authors conclude that "the current state of AI tools, amplified by existing publish-or-perish incentives, appears to be pushing the system toward an equilibrium of more rather than better research."
A common problem in AI-generated research writing is hallucinated citations: references to other research that does not exist.

The traditional safeguard against poor quality in scholarly publishing is peer review: another expert in the subject at hand reads the research paper and interrogates the work behind it before it can be published.

However, the peer review system was already struggling before AI. Pressured researchers often have little time or incentive to do the unpaid work of peer review.

And on arXiv, which publishes preprints—articles which have most often not been peer-reviewed—even this system is not available. Last year, flooded with AI-generated submissions, the site stopped accepting certain types of article.

A study published in January (itself a preprint) estimated around 1 in 8 papers in biomedical science now contain AI-generated text.

Most researchers would agree that AI-generated text is not a problem in itself. The problem is the lower-quality work that AI can make easy to produce.
Part 1

The pre-print website arXiv has announced that researchers who put their names to papers which included errors clearly generated by artificial intelligence (AI) will face a year-long ban and ongoing restrictions.

arXiv has implemented a year-long ban for authors submitting papers with clear, unchecked AI-generated errors, responding to a surge in low-quality, AI-generated research. While AI-generated text itself is not inherently problematic, its ease of use has led to increased submission volume and decreased quality, including issues like hallucinated citations. Critics argue that blanket penalties may be disproportionate, especially in large collaborations, and suggest that AI tools could instead be leveraged to enhance quality control and peer review processes.
The move is a response to a growing influx of AI-generated papers faced by scholarly journals as well as sites such as arXiv, which serve as unofficial platforms for research publication ahead of peer review.

However, not everyone agrees that arXiv's response to the problem is appropriate—and the solution to the flood of AI slop research may involve more AI, not less.

Comment by Dr. Krishna Kumari Challa on May 20, 2026 at 9:05am

A mop, a broom and a calmer mind. Why some find mental health benefits in everyday tasks

It can be tempting to dismiss housework as drudgery, so dreaded or anxiety-inducing that it's best delegated to others if at all possible.
But experts from Zen monks to psychologists say there are mental health benefits to be found in such manual chores as sweeping, mopping and clearing away clutter. These tasks can encourage mindfulness or permit the mind to wander, all while producing a concrete sense of achievement in accomplishing the basic tasks of daily life.

As one famous Zen saying goes:

"Before enlightenment, chop wood, carry water. After enlightenment, chop wood, carry water."
Zen apprentices, or "unsui" monks, spend much of their time cleaning and tidying.

The monks sweep dust to remove worldly desires. They scrub dirt to free themselves of attachments!
A clinical psychologist based in Greenwich, Connecticut, agrees and confirms that the process of cleaning can be calming and almost meditative.
There is a link between mental health and the act of cleaning!
Repetitive, physical activities like cleaning can be regulating for the nervous system because they're predictable, structured and give a clear sense of completion. That gives people a feeling of control and grounding.
Plus, you can immediately see the result of what you've done, which can be satisfying in a way that many cognitive or emotional tasks aren't.

In a clean space, even if the person who cleaned it is not there, you can feel their consideration and awareness. This awareness creates a sense of peace and safety, similar to why sacred spaces feel different from the busy streets.

Source: News agencies

Comment by Dr. Krishna Kumari Challa on May 20, 2026 at 8:36am

Human cells can exchange genomic DNA that alters cell behavior
Large fragments of genomic DNA can transfer directly between human cells via nanotubes, become incorporated into recipient cell genomes, and remain biologically active, altering cell behaviour. The DNA can persist and change how the recipient cell functions. This process occurs between different cell types and challenges the view that human cell genomes evolve independently, with potential implications for understanding genome evolution and disease mechanisms such as cancer.
A study conducted by researchers shows DNA damage and errors in cell division can cause pieces of genomic DNA to escape from the nucleus and move into nearby cells through nanotubes—thin, tubelike structures that briefly form when some cells come into contact.

Once inside a recipient cell, transferred DNA can enter the nucleus and become incorporated into the cell's genome. Researchers found that transferred DNA persisted through multiple rounds of cell division, remained biologically active, and conferred new traits to recipient cells.
Using advanced live-cell microscopy, the team observed DNA moving from one cell to another. In one experiment, pieces of the Y chromosome transferred from male cells into female cells. The transferred DNA carried male-specific genes that became active in the female cells, indicating the transferred DNA remained functional after entering the recipient cell.
Researchers also observed DNA transfer between different types of human cells.

Elizabeth G. Maurais et al, Genome instability triggers intercellular DNA transfer between human cells, Cell (2026). DOI: 10.1016/j.cell.2026.04.041

Comment by Dr. Krishna Kumari Challa on May 20, 2026 at 7:21am

Urban life makes animals bolder, more aggressive across 133 species, analysis finds

A global analysis has found that urban animals are bolder and more aggressive, exploratory and active than their rural counterparts.

Urban animals across 133 species exhibit increased boldness, aggression, exploration, and activity compared to rural counterparts, with effects most pronounced in birds. These behavioural shifts may elevate risks of human-wildlife conflict and zoonotic disease transmission. Data are limited for non-avian taxa, highlighting the need for broader research and consideration of animal behaviour in urban planning.

Global meta-analysis reveals urban-associated behavioral differences among wild populations, Journal of Animal Ecology (2026). DOI: 10.1111/1365-2656.70269

Comment by Dr. Krishna Kumari Challa on May 20, 2026 at 7:18am

Scientists solved 200-year-old puzzle of how tobacco plants make nicotine

Scientists have uncovered how tobacco plants naturally make nicotine, solving a mystery that has puzzled researchers for nearly two centuries. The discovery, published in Nature Communications, could lead to safer production of medicines and vaccines using tobacco plants, without the unwanted nicotine.

The biosynthetic pathway for nicotine in tobacco plants has been elucidated, identifying the missing genes and enzymes, including NaGR and NicGS, responsible for assembling nicotine from two metabolic precursors. Nicotine biosynthesis involves an initial attachment to a glucose molecule, which is removed in the final step, explaining previous difficulties in tracing the process. This knowledge enables the potential removal or modification of nicotine in tobacco used for pharmaceutical production.
Scientists have now discovered the missing genes and enzyme that tobacco plants need to make nicotine, and recreated the process in the lab and inside living plants, proving how it works.

Benjamin T. W. Schwabe et al, Nicotine biosynthesis is completed by cryptic activating glucosylation, Nature Communications (2026). DOI: 10.1038/s41467-026-72705-0

Comment by Dr. Krishna Kumari Challa on May 20, 2026 at 7:08am

A de-extinction company has hatched live chicks from an artificial eggshell

A biotech company that aims to resurrect lost creatures said this week it has hatched live chicks in an artificial environment—a development that was met with mixed reviews from scientists and critics of its de-extinction mission.

Twenty-six baby chickens—ranging from a few days to several months old—were born from a 3D printed lattice structure that mimics an eggshell, according to Colossal Biosciences.

Colossal previously announced it had genetically engineered living animals to resemble extinct species, including mice with long hair like the woolly mammoth and wolf pups that take after dire wolves.

Independent scientists say the technology, while impressive, lacks some components to be truly considered an artificial egg. And they said the idea of reviving extinct beasts is likely impossible.

To hatch the chicks, Colossal scientists poured fertilized eggs into the artificial system and placed them in an incubator. They also added calcium, which is normally absorbed from the eggshell, and imaged the embryos' development and growth in real-time.

Scientists say Colossal has designed an artificial eggshell with a membrane that allows the right amount of oxygen to get in, just like a real egg. But other components of an egg—like temporary organs that form to nourish and stabilize the growing chick and remove waste—weren't included.

That's not an artificial egg because they have poured in all the other parts that make it an egg. It's an artificial eggshell.

Source: News Agencies

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Comment by Dr. Krishna Kumari Challa on May 20, 2026 at 6:56am

Swarms of tiny light-controlled robots could revolutionize wound care

Having a swarm of microbots moving across your body may sound like the stuff of a horror movie, but it could actually be the future of targeted drug delivery and advanced wound healing. Scientists have developed a way to use blue and red light as a remote control to assemble and disperse swarms of biohybrid microrobots that could one day transform how we treat injuries.
The microrobots come in two parts. The first is a living green microalga called Chlamydomonas reinhardtii (CR), which uses two tail-like structures (flagella) to swim through aquatic environments and respond to light.

The second part consists of nanoparticles made of a biodegradable plastic called PLGA. These act like tiny backpacks that can be loaded with medicine and are given a positive charge so they can attach to the algae, which has a negative charge.

In nature, CR algae are highly sensitive to light and use their flagella to swim toward or away from it to survive. Their behaviour changes depending on the colour of the light they encounter.
Taking advantage of this, the researchers developed a system where they used light to guide millions of cells to split apart, merge together, and change shape on command, creating a variety of patterns like a gear and a star.

Such reversible swarming behavior is realized by combining the wavelength-dependent assembly ability of CR and its inherent phototactic properties with light exposures through a series of different mask openings that define the desired swarm geometry.
To demonstrate how this innovation could work in a medical setting, scientists tested it on a simulated wound on an artificial skin model.
They used an AI program to automatically scan the shape of the injury and project the exact patterns of light needed to guide the microrobots. These tiny medical helpers successfully carried and released drug-loaded particles to the target area.

Víctor de la Asunción-Nadal et al, Light-switchable swarming of biohybrid microrobots, Science Advances (2026). DOI: 10.1126/sciadv.aed0994

Comment by Dr. Krishna Kumari Challa on May 20, 2026 at 6:51am

Consistency check casts doubt on evolving dark energy

Cosmologists have long struggled to determine whether the universe's accelerating expansion is being driven by a simple cosmological constant, or whether dark energy's influence is evolving over time. In a new analysis published in Physical Review D, physicists have identified a subtle impact on the inference of the nature of dark energy, due to a tiny mismatch between a fundamental cosmological distance relation and two key datasets used to measure the properties of dark energy.

The result casts fresh doubt on the robustness of the recent claims that dark energy could be evolving over time—perhaps bringing us a step closer to solving one of cosmology's most enduring challenges.

Through their analysis, the duo found that both the supernova and DESI datasets are broadly consistent with the cosmic distance duality relation—but with a small mismatch. Crucially, this minor discrepancy correlates with a shift in the dark energy equation of state parameters away from the values expected for a simple cosmological constant. The results show that even a marginally significant mismatch can have meaningful consequences for the link between the dark energy equation of state and possible systematic errors in measuring the shape of the universe's expansion history.

Samsuzzaman Afroz et al, Hint toward an inconsistency between BAO and supernovae datasets: The evidence of redshift evolving dark energy from DESI DR2 is absent, Physical Review D (2026). DOI: 10.1103/k59d-l795. On arXiv: DOI: 10.48550/arxiv.2504.16868

Comment by Dr. Krishna Kumari Challa on May 19, 2026 at 11:53am

If AI can translate instantly, why learn another language?
AI translation provides rapid, accessible communication but cannot replicate the cognitive, cultural, and emotional benefits of learning a language. Multilingual experience is linked to enhanced visuospatial working memory, especially in older adults, and may contribute to cognitive resilience and delayed onset of neurodegenerative diseases. Language learning fosters deeper cultural understanding and personal expression, which AI tools cannot fully substitute.

original article.

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