Toggle light / dark theme

The world’s largest ultra-high-altitude wind farm came online on January 1 in Tibet, or what China now refers to as the Xizang Autonomous Region.

The 100-megawatt (MW) wind farm is at an altitude of 4,650 meters (15,256 feet) in the Seni District. A wind farm built at 3,500 (11,483 feet) to 5,500 feet (18,045 feet) is considered ultra-high.

Its developer, CHN Energy, will use the wind farm for R&D to further develop large-scale ultra-high-altitude wind farms. But in the meantime, this wind farm is providing clean electricity to 140,000 households in Nagqu City, the largest of Tibet’s prefecture-level cities.

Here’s my new Opinion article for Newsweek on AI!


Like so many in America, I watch astounded as generative artificial intelligence (AI) evolved at lighting speed in 2023, performing tasks that seemed unimaginable just a few years ago. Just last month, a survey found that nearly 40 percent of more than 900 companies were planning to cut jobs in 2024 in part because of AI. If robotics takes a giant leap in the next 12 months, as some suspect, then the survey might end up being too conservative. Generative AI combined with humanoids, which many companies are racing to turn out, is a game changer. Construction jobs, physician jobs, police jobs, and many more will soon be at stake.

Clearly, capitalism is facing a crisis. For years, I have advocated for a Universal Basic Income (UBI), as a way to transition society into the AI age. My method was by leasing out the trillions of dollars worth of empty U.S. federal land to big business, and using some of the proceeds to pay for a basic income for every American. However, any method of a basic income will now help offset the loss of jobs AI will bring.

But recently, chatter about something else is being thrown around in internet chat rooms, in congressional halls, and in arguments at holiday dinner tables: nationalizing AI.

Elon Musk Discusses AI, Longevity, and Bots with Peter Diamandis.
Technology, innovation, and optimism are crucial for solving global challenges and crafting a better future for humanity.

Questions to inspire discussion.

What are the challenges of the next iteration of Starlink satellites?
—Elon Musk discusses the challenges and potential of the next iteration of Starlink satellites, including the need to emulate a cell tower on the ground for phones to accept the signal.

Today, we are excited to take the next significant step forward and introduce the Copilot key to Windows 11 PCs. In this new year, we will be ushering in a significant shift toward a more personal and intelligent computing future where AI will be seamlessly woven into Windows from the system, to the silicon, to the hardware. This will not only simplify people’s computing experience but also amplify it, making 2024 the year of the AI PC.

This post is also available in: he עברית (Hebrew)

A research team from UNIST has made a discovery that might revolutionize cancer treatment as we know it-new cell-engaging nano-drones that were designed to target and eliminate cancer cells selectively.

These tiny bots are called NK cell-engaging nano-drones (NKeNDs), and their success lies in their ability to engage natural killer (NK) cells, the body’s frontline defenders against cancer. Using NK cells in cancer treatment is not new, but what sets these nanodrones apart is their precision. They are engineered to zero in on cancer cells almost like guided missiles.

NASA space debris expert Don Kessler observed that, once past a certain critical mass, the total amount of space debris will keep on increasing: collisions give rise to more debris and lead to more collisions, in a chain reaction. So Clean Space is seeking not just to cut debris production from future ESA missions but to reduce the total mass of current debris, such as the robotic salvage of derelict satellites. The task is an urgent one: debris levels have increased 50% in the last five years in low orbit.

He further mentioned that the AI tool functioned like an “extra pair of eyes,” identifying potential tumors within the video footage.

In short, the AI tool assists junior doctors during colonoscopies by analyzing video footage from the endoscope and identifying potential tumors. It aids in detecting adenomas, particularly those smaller than five millimeters (mm) in diameter.