Lifeboat Foundation

We are entering a new era of AI, one that is fundamentally changing how we relate to and benefit from technology. With the convergence of chat interfaces and large language models you can now ask for what you want in natural language and the technology is smart enough to answer, create it or take action. At Microsoft, we think about this as having a copilot to help navigate any task. We have been building AI-powered copilots into our most used and loved products – making coding more efficient with GitHub, transforming productivity at work with Microsoft 365, redefining search with Bing and Edge and delivering contextual value that works across your apps and PC with Windows.

Today we take the next step to unify these capabilities into a single experience we call Microsoft Copilot, your everyday AI companion. Copilot will uniquely incorporate the context and intelligence of the web, your work data and what you are doing in the moment on your PC to provide better assistance – with your privacy and security at the forefront. It will be a simple and seamless experience, available in Windows 11, Microsoft 365, and in our web browser with Edge and Bing. It will work as an app or reveal itself when you need it with a right click. We will continue to add capabilities and connections to Copilot across to our most-used applications over time in service of our vision to have one experience that works across your whole life.

Continue reading “Announcing Microsoft Copilot, your everyday AI companion” »

Still seems unsafe to me until its 100% error free, but step in correct direction at least.

Researchers have found that splitting the gene editor used in traditional CRISPR technology creates a more precise tool that can be switched on and off, with significantly less chance of causing unintended genome mutations. They say their novel tool can potentially correct around half of the mutations that cause disease.

CRISPR is one of those scientific terms that has made it into the everyday lexicon. Arguably one of the biggest discoveries of the 21st century, the gene-editing tool has revolutionized research and the treatment of genetic and non-genetic diseases. But the primary risk associated with CRISPR technology is ‘off-target edits,’ namely unexpected, unwanted, or even adverse alterations at locations in the genome other than the targeted site.

Continue reading “New gene-editing tool reduces unintended mutations by more than 70%” »

Lung cancer is the leading cause of cancer-related deaths in the United States. Some tumors are extremely small and hide deep within lung tissue, making it difficult for surgeons to reach them. To address this challenge, UNC–Chapel Hill and Vanderbilt University researchers have been working on an extremely bendy but sturdy robot capable of traversing lung tissue.

Their research has reached a new milestone. In a new paper, published in Science Robotics, Ron Alterovitz, Ph.D., in the UNC Department of Computer Science, and Jason Akulian, MD MPH, in the UNC Department of Medicine, have proven that their robot can autonomously go from “Point A” to “Point B” while avoiding important structures, such as tiny airways and blood vessels, in a living laboratory model.

“This technology allows us to reach targets we can’t otherwise reach with a standard or even robotic bronchoscope,” said Dr. Akulian, co-author on the paper and Section Chief of Interventional Pulmonology and Pulmonary Oncology in the UNC Division of Pulmonary Disease and Critical Care Medicine. “It gives you that extra few centimeters or few millimeters even, which would help immensely with pursuing small targets in the lungs.”

Many of the genetic mutations that directly cause a condition, such as those responsible for cystic fibrosis and sickle-cell disease, tend to change the amino acid sequence of the protein that they encode. But researchers have observed only a few million of these single-letter ‘missense mutations’. Of the more than 70 million such mutations that can occur in the human genome, only a sliver have been linked conclusively to disease, and most seem to have no ill effect on health.

So when researchers and doctors find a missense mutation that they’ve never seen before, it can be difficult to know what to make of it. To help interpret such ‘variants of unknown significance’, researchers have developed dozens of computational tools that can predict whether a variant is likely to cause disease. AlphaMissense incorporates existing approaches to the problem, which are increasingly being addressed with machine learning.

The Energy Department will invest $325 million in batteries that can better store clean energy, it announced Friday.

The funding will go toward 15 projects in 17 states and one tribal nation that aim to “advance energy storage technologies” and accelerate the development of long-duration energy storage (LDES) technologies.

A seven-year NASA mission is only just beginning as a capsule lands on Earth this weekend bringing with it some valuable cargo.

Given that Stuart Russell is a co-author of the most popular textbook on AI, I can hardly think of anyone more qualified to discuss Artificial Ingelligence.

Jacopo Pantaleoni joined Nvidia in 2001 when the company had less than 500 employees. He worked on what was then a small research project to improve Nvidia’s graphics processing units so they could better render images on computers and gaming consoles.

More than two decades later, Nvidia has more than 26,000 employees and its GPUs are at the center of the generative AI explosion. Pantaleoni had climbed the ranks to become a principal engineer and research scientist, one of the highest ranking positions for an individual contributor, he says. Then, in July, as Nvidia boomed like no other company, Pantaleoni says he resigned, giving up a substantial amount of unvested stock units, after coming to a realization.

“This market of machine learning, artificial intelligence” is “almost entirely driven by the big players— Googles, Amazons, Metas”—that have the “enormous amounts of data and enormous amounts of capital” to develop AI at scale. Those companies are also Nvidia’s biggest customers. “This was not the world I wanted to help build,” he said.

This isn’t good. I feel for anyone in the human trials.

Documents viewed as part of a new investigation by Wired, however, as well as testimony from a former employee, contradict Musk’s claims entirely — and the details are as upsetting as they are damning, adding to a mounting case against the safety of Neuralink’s devices.

And the timing couldn’t be more exigent either, with Neuralink announcing on Wednesday that it’s recruiting subjects for human trials.

Continue reading “Terrible Things Happened to Monkeys After Getting Neuralink Implants, According to Veterinary Records” »