Lifeboat Foundation

An ancient relative of modern seals—known as Potamotherium valletoni—that had an otter-like appearance and lived over 23 million years ago likely used its whiskers to forage for food and explore underwater environments, according to a new study in Communications Biology. The findings provide further insight into how ancient seals transitioned from life on land to life underwater.

Although modern seals live in marine environments and use their whiskers to locate food by sensing vibrations in the water, ancient seal relatives mostly lived on land or in freshwater environments. Some species used their forelimbs to explore their surroundings. Prior to this study, it was unclear when seals and their relatives began using their whiskers to forage.

Alexandra van der Geer and colleagues investigated the evolution of whisker-foraging behaviors in seals by comparing the brain structures of Potamotherium with those of six extinct and 31 living meat-eating mammals, including mustelids, bears, and seal relatives. Brain structures were inferred from casts taken from the inside of skulls.

Since this book is about what I consider intellectual subject matter, I think it’s relevant to keep brains in top shape and thought it would be important to share this. You probably know about this sort of thing but I didn’t know the specific nutrients needed and what was lacking in people with Alzheimer’s. Best wishes.

Alzheimer’s disease is a progressive neurodegenerative disease estimated to affect 6 million Americans and 33 million people worldwide. Large numbers of those affected have not yet been diagnosed.

A new study published in the Journal of Alzheimer’s Disease by a Virginia Tech Carilion School of Medicine faculty member shows that brain levels of dietary lutein, zeaxanthin, lycopene, and vitamin E in those with Alzheimer’s disease are half those in normal brains. Higher dietary levels of lutein and zeaxanthin have been strongly linked to better cognitive functions and lower risk for dementia or Alzheimer’s disease.

Continue reading “Brains with Alzheimer’s disease have subnormal levels of important dietary antioxidants” »

New research indicates that Australia and New Zealand are the two best places on Earth to survive a nuclear war. The recently published set of calculations don’t focus on blast-related deaths or even deaths caused by radiation fall-out, which most estimates say would number in the hundreds of millions, but instead look at how a nuclear winter caused by nuclear bomb explosions would affect food supplies, potentially leading to the starvation of billions.

Nuclear War Simulations Performed For Decades

Since the first atomic bombs were dropped on the Japanese cities of Hiroshima and Nagasaki in 1945, effectively spelling the end of World War II, war game theorists have looked at a myriad of simulations to determine the potential effects of a full-blown nuclear battle. Many simulations look at the potentially hundreds of millions that would likely die in the initial blasts, while others have tried to model the slower but equally as deadly body count from radiation sickness.

WE all know we should be eating more healthily.

Improving your diet lowers your risk of several diseases, boosts immunity and supports brain development.

And now, new research has found incorporating a certain five foods into your meals could help you live longer — and they all happen to be plant based.

New Zealand’s Pak’nSave bot is powered by OpenAI’s GPT 3.5.

Developed to churn out recipes for leftover food in people’s homes, a meal bot is now handing out (disaster) recipes to customers. The AI bot is a product of Pak’nSave, a New Zealand-based supermarket chain, and is powered by OpenAI’s GPT 3.5.

Not reviewed by humans.

Continue reading “Rogue AI bot is giving recipes for human flesh and chlorine gas” »

Specifically, the researchers examined how THC administered through edibles, a common consumption method, influenced epigenetic changes in crucial areas for fetal development, including the placenta, fetal lung, brain, and heart.

In recent years, the popularity and availability of cannabis has grown significantly, with various consumption methods like edibles gaining traction. However, alongside this trend, there has been a worrisome increase in cannabis use among pregnant women. Unfortunately, our understanding of the detailed effects of using cannabis during pregnancy on the developing child remains limited. Because normal fetal development relies on the crucial process of epigenetic regulation and gene expression modification, it has been suggested that studying the molecular changes linked to cannabis exposure during pregnancy could provide important insights.

To gain a better understanding of the effects of cannabis use during pregnancy, researchers from the Oregon Health & Science University (OHSU) conducted a unique preclinical study that focused on investigating the epigenetic impact of THC, the main active component in cannabis, on fetal development and future health outcomes. The study’s findings were published in the journal Clinical Epigenetics.

Continue reading “The Epigenetic Impact of Cannabis Use During Pregnancy on Child’s Health” »

Genome editing is a powerful breeding technique that introduces mutations into specific gene sequences in genomes. For genome editing in higher plants, nucleotides for artificial nuclease (e.g. TALEN or CRISPR-Cas9) are transiently or stably introduced into the plant cells. After the introduction of mutations by artificial nucleases, it is necessary to select lines that do not contain the foreign nucleotides to overcome GMO regulation; however, there is still no widely legally authorized and approved method for detecting foreign genes in genome-edited crops. Recently, k-mer analysis based on next-generation sequencing (NGS) was proposed as a new method for detecting foreign DNA in genome-edited agricultural products. Compared to conventional methods, such as PCR and Southern hybridization, in principle, this method can detect short DNA fragments with high accuracy.

Researchers have long thought that rewards like food or money encourage learning in the brain by causing the release of the “feel-good” hormone dopamine, known to reinforce storage of new information. Now, a new study in rodents describes how learning still occurs in the absence of an immediate incentive.

Led by researchers at NYU Grossman School of Medicine, the study explored the relationship between dopamine and the brain chemical acetylcholine, also known to play a role in learning and memory. Past research had shown that these two hormones compete with one another, so that a boost in one causes a decline in the other. Rewards were thought to promote learning by simultaneously triggering an increase in dopamine and a decrease in acetylcholine.

This sudden hormone imbalance is believed to open a window of opportunity for brain cells to adjust to new circumstances and form memories for later use. Known as neuroplasticity, this process is a major feature of learning as well as recovery after injury. However, the question had remained whether food and other external rewards are the only drivers for this memory system, or whether our brains instead are able to create the same conditions that are favorable to learning without outside help.

That’s how Andrew Feldman, CEO of Silicon Valley AI computer maker Cerebras, begins his introduction to his company’s latest achievement: An AI supercomputer capable of 2 billion billion operations per second (2 exaflops). The system, called Condor Galaxy 1, is on track to double in size within 12 weeks. In early 2024, it will be joined by two more systems of double that size. The Silicon Valley company plans to keep adding Condor Galaxy installations next year until it is running a network of nine supercomputers capable of 36 exaflops in total.

If large-language models and other generative AI are eating the world, Cerebras’s plan is to help them digest it. And the Sunnyvale, Calif., company is not alone. Other makers of AI-focused computers are building massive systems around either their own specialized processors or Nvidia’s latest GPU, the H100. While it’s difficult to judge the size and capabilities of most of these systems, Feldman claims Condor Galaxy 1 is already among the largest.

Condor Galaxy 1—assembled and started up in just 10 days—is made up of 32 Cerebras CS-2 computers and is set to expand to 64. The next two systems, to be built in Austin, Texas, and Ashville, N.C., will also house 64 CS-2s each.