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Basically on the pro side it could be something good to help earth but really if is on the bad side we probably want to cloak the earth with an invisibility cloak and force fields ideally so they don’t wipe us out.


An experiment aboard NASA’s Psyche mission achieved “first light” by sending and receiving its first deep-space laser communications from far beyond the moon.

An amazing graph theoretic analysis of the C. elegans neuropeptide connectome!


Neuromodulation by peptides is essential for brain function. By comprehensively mapping neuropeptide signaling in the nematode C. elegans, Ripoll-Sánchez et al. define a dense wireless network whose organization differs in important ways from wired brain circuits. This network is a prototype for understanding neuropeptide signaling networks in larger brains.

Just weeks before the management shakeup at OpenAI rocked Silicon Valley and made international news, the company’s cofounder and chief scientist Ilya Sutskever explored the transformative potential of artificial general intelligence (AGI), highlighting how it could surpass human intelligence and profoundly transform every aspect of life. Hear his take on the promises and perils of AGI — and his optimistic case for how unprecedented collaboration will ensure its safe and beneficial development. (Recorded October 17, 2023)

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The planet Mercury seems like a place inhospitable to life, with surface temperatures reaching a blistering 800 degrees Fahrenheit due to its extremely close proximity to the Sun.

But new research suggests that there are regions on the Solar System’s smallest planet that may have the right conditions for biological life to survive.

Scientists at the Planetary Science Institute (PSI) in Arizona say they’ve found evidence of salt glaciers on the planet’s surface, regions that are similar to extremely harsh and salt-rich environments on Earth where life still finds a way to exist.

Weaving piezoelectric polymers into nanofibers reveals a surprising pathway to boost stem cell growth naturally, without external power.

Our bodies are a complex tapestry of cells, woven into tissues and organs, like bones, muscle, and skin. All these cells begin as blank slates called stem cells, which are directed to become all the unique cell types in the body by a myriad of genetic and environmental cues.

To harness the biomedical potential of stem cells, researchers have long sought ways to untangle these factors and find a recipe to efficiently grow any desired cell type. Now, expertise from textile research is helping create a new platform to achieve this goal.

Investigators from the laboratory of Ali Shilatifard, Ph.D., the Robert Francis Furchgott Professor and chair of Biochemistry and Molecular Genetics, have discovered a new repeat gene cluster sequence that is exclusively expressed in humans and non-human primates.

The discovery, detailed in a study published in Science Advances, is a breakthrough for biology and has wide-ranging implications for future research in , , and the study of repetitive DNA sequences, according to the authors.

“This is an unbelievable discovery of the first elongation factor that is repeated within the genome and is very primate-specific,” said Shilatifard, who is also director of the Simpson Querrey Institute for Epigenetics and a professor of Pediatrics.

Nvidia’s (NASDAQ: NVDA) stock has rallied about 1,110% over the past five years, turning it into the world’s first trillion-dollar chipmaker. A large portion of that rally was fueled by the explosive growth of the artificial intelligence (AI) market, which drove more companies to buy Nvidia’s high-end data center chips for processing AI tasks.

Nvidia might still have room to run, but it’s asking a lot for a $1.2 trillion company to generate even bigger multibagger gains. Therefore, many investors are already likely seeking out the “next Nvidia” — a company that is exposed to the same secular AI tailwinds but has more upside potential. Could the quantum computing company IonQ (NYSE: IONQ) check all the right boxes?

Unlike traditional computers, which process data with binary “bits” of zeros and ones, quantum computers can store zeros and ones simultaneously in “qubits” to process data at much faster rates. However, quantum computing systems are also much larger, more expensive, and more prone to making mistakes than traditional computers.