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Professor Stefan Lorenz Sorgner talks about his new book, ‘We Have Always Been Cyborgs’. Find out more about the book: https://bristoluniversitypress.co.uk/we-have-always-been-cyborgs.

“With an encyclopaedic knowledge of transhumanism and a deep philosophical grounding, especially in Nietzschean thought, Stefan Sorgner tackles some of the most challenging ethical issues currently discussed, including gene editing, digital data collection, and life extension, with uncommon good sense and incisive conclusions. This study is one of the most detailed and comprehensive analyses available today. Highly recommended for anyone interested in transhumanist/posthumanist ideas and in these issues generally.” N. Katherine Hayles, University of California, Los Angeles.

“An eye-opening, wide-ranging and all-inclusive study of transhumanism. Sorgner’s account avoids both the utopian trap and the bogeyman spectre. He makes a compelling case for placing ourselves on the transhuman spectrum. How we continue to use technologies is in our hands. Sorgner’s book is both a comprehensive introduction to transhumanist thought and a clear-sighted vision for its future realisation.” Julian Savulescu, University of Oxford.

CEO Elon Musk posted an ancient Chinese poem on Weibo on Monday and this led his millions-strong followers on the social media platform to open up their wallets.

What Happened: Musk posted an 1800-year-old poem, called “The Quatrain of Seven Steps,” composed by Cao Zhi, the brother of the Emperor of Wei Cao Pi without any clear context.

Subsequently, Musk, who has 1.9 million followers on Weibo, began receiving donations from the users of the Chinese social media platform, reported CnEVPost.

For people with motor impairments or physical disabilities, completing daily tasks and house chores can be incredibly challenging. Recent advancements in robotics, such as brain-controlled robotic limbs, have the potential to significantly improve their quality of life.

Researchers at Hebei University of Technology and other institutes in China have developed an innovative system for controlling robotic arms that is based on augmented reality (AR) and a . This system, presented in a paper published in the Journal of Neural Engineering, could enable the development of bionic or prosthetic arms that are easier for users to control.

“In recent years, with the development of robotic arms, brain science and information decoding technology, brain-controlled robotic arms have attained increasing achievements,” Zhiguo Luo, one of the researchers who carried out the study, told TechXplore. “However, disadvantages like poor flexibility restrict their widespread application. We aim to promote the lightweight and practicality of brain-controlled robotic arms.”

Solar panel companies turn to silicon because it is efficient and lasts a long time. A single panel lasts for at least 25 years, providing more than 80% of its initial power.

Despite the benefits, crystalline silicon is difficult to produce, which slows down the solar panel manufacturing process. In the past year, the cost of silicon has skyrocketed, up to a 300% increase, and the U.S. banned imports from China (due to a violation of international standards on child labor) — making it the second most abundant element on the planet an actual scarcity.

Alternative semiconductors: Some companies are ditching silicon for, a cheaper alternative. If they can commercialize low-cost films, the solar industry would change dramatically.

Critical RCE Vulnerability Reported in Linux Kernel’s Transparent Inter Process Communication (TIPC) module.


Cybersecurity researchers have disclosed a security flaw in the Linux Kernel’s Transparent Inter Process Communication (TIPC) module that could potentially be leveraged both locally as well as remotely to execute arbitrary code within the kernel and take control of vulnerable machines.

Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.

In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type.

The most recent generation of predictive language models also appears to learn something about the underlying meaning of language. These models can not only predict the word that comes next, but also perform tasks that seem to require some degree of genuine understanding, such as question answering, document summarization, and story completion.