Enlarge / Image of some of the atmospheric circulation seen during NeuralGCM runs. (credit: Google)

Right now, the world's best weather forecast model is a General Circulation Model, or GCM, put together by the European Center for Medium-Range Weather Forecasts. A GCM is in part based on code that calculates the physics of various atmospheric processes that we understand well. For a lot of the rest, GCMs rely on what's termed "parameterization," which attempts to use empirically determined relationships to approximate what's going on with processes where we don't fully understand the physics.

Lately, GCMs have faced some competition from machine-learning techniques, which train AI systems to recognize patterns in meteorological data and use those to predict the conditions that will result over the next few days. Their forecasts, however, tend to get a bit vague after more than a few days and can't deal with the sort of long-term factors that need to be considered when GCMs are used to study climate change.

On Monday, a team from Google's AI group and the European Centre for Medium-Range Weather Forecasts are announcing NeuralGCM, a system that mixes physics-based atmospheric circulation with AI parameterization of other meteorological influences. Neural GCM is computationally efficient and performs very well in weather forecast benchmarks. Strikingly, it can also produce reasonable-looking output for runs that cover decades, potentially allowing it to address some climate-relevant questions. While it can't handle a lot of what we use climate models for, there are some obvious routes for potential improvements.

Enlarge / Bees fly to their hive. (credit: Getty | Federico Gambarini)

In what may be the biological equivalent to getting struck by lightning, a very unlucky man in the Philadelphia area took a very rare bee sting directly to the eyeball—and things went badly from there.

As one might expect, the 55-year-old went to the emergency department, where doctors tried to extract the injurious insect's stinger from the man's right eye. But it soon became apparent that they didn't get it all.

Two days after the bee attack, the man went to the Wills Eye Hospital with worsening vision and pain in the pierced eye. At that point, the vision in his right eye had deteriorated to only being able to count fingers. The eye was swollen, inflamed, and bloodshot. Blood was visibly pooling at the bottom of his iris. And right at the border between the man's cornea and the white of his eye, ophthalmologists spotted the problem: a teeny spear-like fragment of the bee's stinger still stuck in place.

Enlarge / Painting of a gryphon, or griffin, a lion-raptor chimera from ancient folklore. (credit: Mark Witton)

The gryphon, or griffin, is a legendary creature dating back to classical antiquity, sporting the body, legs, and tail of a lion and the wings, head, and front talons of an eagle. Since the 1980s, a popular "geomyth" has spread that the griffin's unique appearance was inspired by the fossilized skeleton of a horned dinosaur known as Protoceratops. It's a fascinating and colorful story, but according to the authors of a new paper published in the journal Interdisciplinary Science Reviews, there is no hard evidence to support such a connection.

"Everything about griffin origins is consistent with their traditional interpretation as imaginary beasts, just as their appearance is entirely explained by them being [mythological] chimeras of big cats and raptorial birds," said co-author Mark Witton, a paleontologist at the University of Portsmouth. "Invoking a role for dinosaurs in griffin lore, especially species from distant lands like Protoceratops, not only introduces unnecessary complexity and inconsistencies to their origins, but also relies on interpretations and proposals that don’t withstand scrutiny.”

There are representations of griffin-like creatures in ancient Egyptian art dated to before 3000 BCE, while in ancient Greek and Roman texts the creatures were associated with gold deposits in Central Asia. By the Middle Ages, griffins were common figures in medieval iconography and in heraldry. The hippogriff named Buckbeak in Harry Potter and the Prisoner of Azkaban is a related mythical creature, the product of a griffin and a mare.

Enlarge / AI weather models are arriving just in time for the 2024 Atlantic hurricane season. (credit: Aurich Lawson | Getty Images)

Much like the invigorating passage of a strong cold front, major changes are afoot in the weather forecasting community. And the end game is nothing short of revolutionary: an entirely new way to forecast weather based on artificial intelligence that can run on a desktop computer.

Today's artificial intelligence systems require one resource more than any other to operate—data. For example, large language models such as ChatGPT voraciously consume data to improve answers to queries. The more and higher quality data, the better their training, and the sharper the results.

However, there is a finite limit to quality data, even on the Internet. These large language models have hoovered up so much data that they're being sued widely for copyright infringement. And as they're running out of data, the operators of these AI models are turning to ideas such as synthetic data to keep feeding the beast and produce ever more capable results for users.