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'Godmother of AI' Says Biggest AI Risk In Schools Is Students Losing the Desire to Learn

Fei-Fei Li, aka The Godmother of AI, says the biggest AI risk in education may be students losing the motivation and agency to learn, rather than simply using the technology to cheat. She argues against banning AI outright, saying it can be valuable when used to support engaged students instead of replacing the thinking and struggle that learning requires. Techspot reports: Speaking on an episode of the science podcast Huberman Lab this week, Li talked about the fears around how students are using AI. "The absolute bad outcome is that our young generation, their agency and human-level motivation of learning and living is taken away by tools," the ImageNet inventor warned. "It should not be taken away by humans nor should it be taken away by machines." If we see a generation of graduates who have completely relied on AI without actively trying to learn anything for themselves, they risk leaving education without having "properly developed the brain," Li said. [...] Li certainly isn't advocating for a complete ban on students using AI. She believes it can genuinely help struggling students who are already engaged in their learning. Li herself noted how she struggled with organic chemistry as a premed student, when teaching assistants and professors didn't have enough time to answer every question. While there's no obvious solution, Li says we need to find a way to keep children and students' motivation and agency. "Let's find a way to give them the access and the right way of using these tools," she said. Li added that if AI is used properly in education, it could make the students of the future "way smarter than us because they are superpowered."

Read more of this story at Slashdot.

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Drone Captures Rare Aerial View of Stingray Migration Off Long Island

Drone Captures Rare Aerial View of Stingray Migration Off Long Island

A stunning drone video capturing dozens of stingrays swimming together off the coast of New York has drawn widespread attention from beachgoers and marine life enthusiasts alike. The footage offers an unusual bird’s-eye perspective on cownose rays, a species known for its seasonal visits to Long Island’s waters.

Captured last Friday off Southampton, the video was filmed by Joanna Steidle, a Hamptons-based drone pilot recognized for her striking aerial ocean photography. The clip shows a large group of cownose rays gliding gracefully just beneath the water’s surface, their distinctive wing-shaped bodies visible in remarkable detail.

Cownose rays, which can grow wing spans of up to three feet, are known for traveling in large schools and typically arrive in the region during the warmer summer months. Despite their somewhat intimidating appearance, marine scientists describe the species as shy and generally harmless to humans, posing little threat to swimmers or beachgoers who might encounter them.

While the sight of so many rays moving together may seem unusual to casual observers, experts note that this behavior is a normal part of their seasonal pattern and that these creatures have likely been visiting Long Island’s coastal waters for decades. The viral footage has offered a rare glimpse into a natural phenomenon that typically goes unnoticed by those on shore, highlighting the rich marine biodiversity present just off New York’s beaches during summer.

The post Drone Captures Rare Aerial View of Stingray Migration Off Long Island first appeared on EnviroLink Network.

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Humpback Whales Return to Rio De Janeiro’s Waters, but Can Tourism and Conservation Coexist?

Humpback Whales Return to Rio De Janeiro’s Waters, but Can Tourism and Conservation Coexist?

At sunrise, the yacht Boaventura II departs Rio de Janeiro carrying a boatload of eager whale watchers. Just past the Cagarras Islands, a rocky archipelago three miles from Ipanema beach, passengers crowd the bow, eyes fixed on the horizon.

Their patience is quickly rewarded. A pod of bottlenose dolphins surfaces first, leaping and diving playfully near the boat. Moments later, two plumes of mist rise into the air—the telltale sign of humpback whales. The massive creatures breathe rhythmically at the surface before diving, their distinctive tail flukes briefly visible above the waves.

This scene, once unimaginable, has become increasingly common off Rio’s coast. Humpback whales, hunted to near extinction during the 20th century whaling era, have made a remarkable comeback in Brazilian waters. Their resurgence has sparked a booming whale-watching tourism industry, drawing visitors eager to witness these ocean giants up close.

Yet the very success story that brings tourists to the water is now raising concerns among marine biologists. As boat traffic increases to meet demand, researchers are questioning whether unchecked tourism growth could threaten the fragile recovery of the species. The challenge now facing Rio: how to celebrate and share this conservation triumph without loving the whales back toward danger.

The post Humpback Whales Return to Rio De Janeiro’s Waters, but Can Tourism and Conservation Coexist? first appeared on EnviroLink Network.

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Knowing through uncertainty: probability and the evolution of our cosmos

Abstract space geometric pattern
(Courtesy: Shutterstock/svekloid)

All scientific inquiry involves some kind of uncertainty, but the uncertainties in cosmology are particularly daunting. As well as being complex and difficult to describe, the systems cosmologists investigate are almost by definition out of reach. In these conditions of uncertainty, how confident can we be in the models we’ve built? How can we come to know how galaxies form, how the universe began or how much dark matter it contains?

In The Random Universe: How Models and Probability Help us Make Sense of the Cosmos, cosmologist and astrophysicist Andrew Jaffe offers a masterful and refreshing take on these questions. As the director of the Centre for Inference and Cosmology at Imperial College London, UK, and a past co-investigator on ESA’s Planck satellite that provided us with so much new information about the cosmos, Jaffe is well-equipped to walk readers through the tools that allow us to learn about the world despite its uncertainties. Anchoring his insights in beautifully narrated episodes from the history of physics, astrophysics and cosmology, he sheds light on how our theories of the universe evolved into our current best cosmological model – which nonetheless still has limitations.

Jaffe is particularly good at recounting how we refined, revised and even replaced some of our assumptions in light of incoming evidence such as the first measurements of stellar distance; the discovery of galaxies beyond our own; and precise measurements of cosmological parameters. Throughout this journey, he engages thoughtfully with a rich philosophical tradition that runs from David Hume in the 18th century through Willard Van Orman Quine, Imre Lakatos and Paul Feyerabend in the 20th.

Bayes’ theorem is important because it tells us how to update our degree of belief in light of new evidence

The book’s main protagonist, though, is the mathematician Thomas Bayes. For Jaffe, Bayesian probability is key to dealing with uncertainty, and even to solving Hume’s notorious problem of induction: how do we justify inferences from a finite set of observations to generalizations that go beyond them? Bayes’ theorem is important, Jaffe argues, because it tells us how to update our degree of belief in light of new evidence. It shows us why and how, even in an uncertain world, “the more observations we make, the surer we become”.

Of course, before we can use probability to deal with uncertainty, we first need a model. As Jaffe puts it, “Absent a model, I can’t assign a probability, and absent a probability, I can’t quantify my uncertainty about the world.” So, what exactly is a model? I found Jaffe’s answer to be one of the most captivating elements of the book. As the title of a subsection of chapter five puts it, “a model is a story about the world”. Without models, Jaffe tells us, our world would be an unexplained series of unrelated events. Models are also what allow us to take a finite set of data and use it to create something new. Without this leap, Jaffe suggests, we cannot learn anything about the world, because “you can’t make sense of an experimental result unless you have some model to interpret it”.

Of course, if the way we interpret data depends on our model, then different people may well obtain different interpretations depending on which model and which prior probability they choose. This charge of subjectivity is a longstanding accusation against Bayesians, but Jaffe offers at least a partial solution: “If you and I agree on the model, we should assign the same probability.” This, Jaffe argues, is where objectivity emerges, writing that “we come to the same conclusions if we start from the same premises”.

Models allow us to understand the world by bridging subjectivity with objectivity, and the personal with the collective

Many contemporary philosophers are at odds with the idealized view of science as an objective and linear enterprise that produces theories from a God’s-eye view. Instead, they strive to portray it as something that is social and human, but reliable nonetheless. Jaffe’s own views seem to align with this endeavour; as he puts it, “the scientific coupling of models and observations is a living, breathing, subjective endeavour, simultaneously collective and personal”. Through their interplay with data, he argues, models allow us to understand the world by bridging subjectivity with objectivity, and the personal with the collective.

Not everyone will agree with Jaffe that Bayesian probability offers a solution to Hume’s problem of induction. Personally, I (or perhaps the hardcore rationalist in me) was not convinced. Nevertheless, I found the book’s thesis – that uncertainty is not a hindrance to knowledge, but an opportunity to learn (and learn more) about the world – simultaneously liberating, humbling and empowering. I recommend The Random Universe to scientists, philosophers and anyone interested in better understanding the role of probability in science; the philosophical problems with how we handle uncertainty; and how our standard cosmological model came to be. I also hope it will encourage more collaborations between philosophers and scientists. There are many questions we can explore further if we work together.

  • 2025 Yale University Press, £25hb, 288pp

The post Knowing through uncertainty: probability and the evolution of our cosmos appeared first on Physics World.

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Artificial blood vessels grow with the help of mechanical forces

Tissue engineering offers a means to restore, maintain or replace biological tissues. But it is difficult to grow blood vessels using conventional fabrication techniques like 3D printing, as they are typically not precise enough to print fine capillaries and veins. A team of engineers from the Massachusetts Institute of Technology (MIT) has now developed a new approach to do just that, by using mechanical forces. Their blood-vessel-on-a-chip could be the first step in the scalable production of vascular networks that could then be implanted in the body to replace tissue that has been damaged by disease or injury.

The researchers, led by Ritu Raman, made their chip by filling a Petri dish with a gel containing nutrients and cell-growth factors. They then embedded a small magnet into the gel. Finally, they introduced a thin, hollow tube into the gel and coated the inside of the tube with live endothelial cells – the cells that naturally line blood vessels in the body.

Once anchored onto the inner walls of the tube, the endothelial cells began sprouting new, capillary-like vessels in the gel. And when the researchers moved the embedded magnet back and forth in different directions and by varying degrees, they found that the mechanical forces created by the moving magnet could stretch the vessels and increase the number of new capillaries that grew, as well as their length.

‘Steering’ blood vessel growth

“We also showed that blood vessel growth, or angiogenesis, could be directionally patterned using the mechanical forces created by the magnet and that these directions could change dynamically over time,” explains Raman. “This allows us to ‘steer’ blood vessel growth in all three spatial directions (x, y, z) and make complex geometries (like L-shaped branches) that would not be possible to fabricate using conventional methods.”

The researchers had previously demonstrated that biological cells are highly responsive to mechanical forces in the body, but they did not know how different types of forces – for example, stretching in different directions and at different degrees and frequencies – impacted the 3D structure of blood vessels. The main obstacle lay in developing a coupled magnet system to precisely stretch blood vessels in different directions. To achieve this, they designed a method for mechanically stimulating tissues, dubbed “magnetic matrix actuation”.

In their new work, which is detailed in PNAS, they went a step further and developed a method to accurately yet non-invasively stretch 3D blood vessel tissues they had built in the laboratory.

To better understand the effect of mechanical forces on angiogenesis, the MIT team decided to look into the role of a gene known as PIEZO1, which is just one of the many mechanically sensitive genes in the body. They built on the work of molecular biologist Ardem Patapoutian, who received the 2021 Nobel Prize in Physiology or Medicine for discovering that ion channels in cells open and close in response to mechanical pressure. One such ion channel is PIEZO1, which is regulated by the PIEZO1 gene.

By suppressing this PIEZO1 gene in the endothelial cells they studied, the researchers indeed observed that significantly fewer new blood vessels grew in the gel. This, they say, provides evidence that the applied mechanical forces in their experiment may have been opening the PIEZO1 ion channel in the endothelial cells, so triggering the new blood vessel growth.

“My group has always been interested in engineering artificial tissues that can be implanted in the body to repair damage caused by disease or traumatic injury, but such artificial tissues require integrated networks of blood vessels in order to function,” says Raman. “We hope that our method for precisely fabricating complex networks of blood vessels within engineered tissues will enable the development of such implants,” she tells Physics World.

The post Artificial blood vessels grow with the help of mechanical forces appeared first on Physics World.

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Neighbors live in fear after pipeline leak in ‘Unleashing American Energy’ era



As Trump’s agencies shrink, narrow their role, and reduce enforcement, politically connected Energy Transfer is steering a slow cleanup of fuel it spilled into drinking water near the Delaware River.

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