New research confirms the Universe is expanding faster than theoretical models predict, intensifying the Hubble tension.
Using precise measurements of the Coma cluster, scientists recalibrated the cosmic distance ladder, suggesting flaws in existing cosmological models.
Expanding Universe: A Startling Discovery.
The Full Self-Driving version 13.2.2 successfully navigates challenging snowy Canadian roads with impressive performance and minimal driver intervention ## Advanced Navigation in Challenging Conditions.
🚗13.2.2 successfully navigated snowy, slippery roads in Canada without interventions, handling obscured lane lines, vehicles, and signs even when the roadway was difficult to discern.
🌨️The system demonstrated impressive adaptive driving, moving slowly and smoothly with minimal slipping, and never requesting driver takeover despite challenging road conditions. ## Complex Intersection Management.
🛑13.2.2 effectively managed various challenging intersections, including a five-way intersection at an odd angle and a busy roadway with an obscured angle. ## Safety-First Approach.
⚠️The system exhibited a cautious approach, waiting for clear visibility before proceeding when faced with high snowbanks, and then moving slowly without complaint. ## Self-Correction and Adaptation.
🔄13.2.2 showed the ability to self-correct and adapt, as evidenced by correcting an incorrect signal at a corner and recovering from briefly bumping a sidewalk during a turn.
Scientists at Caltech and Princeton University have discovered that bacterial cells growing in a solution of polymers, such as mucus, form long cables that buckle and twist on each other, building a kind of “living Jell-O.”
The finding could be particularly important to the study and treatment of diseases such as cystic fibrosis, in which the mucus that lines the lungs becomes more concentrated, often causing bacterial infections that take hold in that mucus to become life threatening. This discovery could also have implications in studies of polymer-secreting conglomerations of bacteria known as biofilms—the slippery goo on river rocks, for example—and in industrial applications where they can cause equipment malfunctions and health hazards.
The work is described in a paper published on January 17 in the journal Science Advances.
OpenAI says it trained a new AI model called GPT-4b micro with Retro Biosciences, a longevity science startup trying to extend the human lifespan by 10 years, according to the MIT Technology Review.
Retro, which is backed by Sam Altman, has been working with OpenAI for roughly a year on this research, according to the report. The GPT-4b micro model tries to re-engineer proteins — a specific set called the Yamanaka factors — that can turn human skin cells into young-seeming stem cells. Retro believes these proteins are a promising step toward building human organs and providing supplies of replacement cells.
The model differs slightly from Google’s Nobel prize-winning AlphaFold, which predicts the shape of proteins, but it appears to be OpenAI’s first model that is custom-built for biological research. OpenAI and Retro tell the MIT Technology Review they plan to release research on the model and its outputs.
