Critical flaws in MLflow, PyTorch, and more enable remote code execution, threatening AI and ML security.

Envisioning armies of electronically controllable insects is probably nightmare fuel for most people. But scientists think they could help rescue workers scour challenging and hazardous terrain. An automated cyborg cockroach factory could help bring the idea to life.
The merger of living creatures with machines is a staple of science fiction, but it’s also a serious line of research for academics. Several groups have implanted electronics into moths, beetles, and cockroaches that allow simple control of the insects.
However, building these cyborgs is tricky as it takes considerable dexterity and patience to surgically implant electrodes in their delicate bodies. This means that creating enough for most practical applications is simply too time-consuming.
“AI” AS THE MODERN VERSION OF BELEIF IN A MAGICAL ALCHEMY. Although widely promoted as being possible, it grows increasingly ridiculous the more that complexity is added. This means a gigantic market bubble is building up for a tremendous burst, UNLESS, the obvious is done: simply treat it as any other useful human-created tool, such as a hammer, a screw driver, or an airplane. Are screw drivers going to rise up and threaten humanity? It is not physically possible in the real physical universe that “ai”, or any other human-created tool, will ever pose a danger to humanity. It CAN be misused by humans, but cannot of its own non-existent will decide to be a danger. It is high time to stop being afraid of the modern version of non-existent ghosts and goblins, otherwise known as “ai.” Stop scaring little boys and girls with superstitious monster stories and, instead, tell them what a wonderful new tool we now have! Like any tool, it increases the degree of freedom and power of the human mind to intervene in the universe. If we want a real “ai”, that will come from our speeding up the evolution of intelligent animals such as octopuses and seeding them on places like the oceans of Europa, the moon of Jupiter.
A demo video shows OpenAI’s new o1 tool measuring liquids in inches.
Researchers find evidence of superfluidity in low-density neutron matter by using highly flexible neural-network representations of quantum wave functions.
A groundbreaking study employing artificial neural networks has refined our understanding of neutron superfluidity in neutron stars, proposing a cost-effective model that rivals traditional computational approaches in predicting neutron behavior and emergent quantum phenomena.
Neutron Superfluidity in Neutron Stars.
In a surprise discovery, researchers found a new way to generate quantum entanglement for particles of light, which could make building quantum information networks easier.
OpenAI used to say that artificial general intelligence would change everything. Not anymore.