Lifeboat Foundation

New details of Musk’s involvement in the Ukraine-Russia war revealed in his biography.

Elon Musk holds many titles. He is the CEO of Tesla SpaceX and owns the social media company X, which was recently rebranded from Twitter. Going by an excerpt of his biography, published in the Washington Post.

According to the excerpt from Walter Isaacson’s book, Musk disabled his company Starlink’s satellite communication networks, which were being used by the Ukrainian military to attack the Russian naval fleet in Sevastopol, Crimea, sneakily. The Ukrainian army was using Starlink as a guide to target Russian ships and attack them with six small… More.

Continue reading “Did Elon Musk prevent a Russia-Ukraine nuclear war?” »

Moor Studio / iStock.

The report description of generative AI stated:

Prepare to be awestruck by the incredible technological advancements on the horizon! Explore the mind-blowing innovations coming in the next 10 years.
#brightside.

Animation is created by Bright Side.

Continue reading “The Shape of Future’s Technology You Won’t Believe!” »

Summary: Researchers delved deep into the mysteries of synchronization in complex systems, uncovering how certain elements effortlessly fall into or out of sync. This dance of coordination can be observed from humans clapping in rhythm to the synchronicity of heart cells.

By studying “walks” through networks, the team discovered the role of convergent walks in diminishing the quality of synchronization. These findings could revolutionize our understanding of everything from power grid stability to brain functions and social media dynamics.

The mission was successful, and Dimorphos’ orbit was shortened by 33 minutes in the weeks after the impact.

However, a team of high school students led by teacher Jonathan Swift at Thacher School in California have discovered that Dimorphos’ orbit continued to shrink by another minute more than a month after the collision.

‘The number we got was slightly larger, a change of 34 minutes,’ said Mr Swift. ‘That was inconsistent at an uncomfortable level.’

Summary: New research unveils a probable unique human ability to recognize and remember sequential information. Despite being our closest relatives, bonobos struggle to learn the order of stimuli in the same manner as humans.

This discovery contributes to understanding the cognitive distinctions between humans and other animals, explaining why only humans possess certain cultural abilities like language and advanced planning. This sequential memory might be the foundational block behind many uniquely human behaviors and capabilities.

Metalens for AR and VR.

BEIJING, Sept. 8, 2023 /PRNewswire/ — WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (“WiMi” or the “Company”), a leading global Hologram Augmented Reality (“AR”) Technology provider, today announced that a metasurface eyepiece for augmented reality has been developed, which is based on metasurfaces composed of artificially fabricated subwavelength structures. The metasurface eyepiece employs a special optical design and engineered anisotropic optical response to achieve an ultra-wide field of view(FOV), full-color imaging, and high-resolution near-eye display.

At the heart of the WiMi’s metalens are see-through metalens with a high numerical aperture(NA), a large area and broadband characteristics. Its anisotropic optical response allows it to perform two different optical functions simultaneously. First, it can image virtual information, acting as an imaging lens for virtual information. Second, it can transmit light, serving as a transparent glass for viewing a real-world scene. This design allows the transparent metalens to be placed directly in front of the eye without the need for additional optics, resulting in a wider FOV.

Fabrication of metalens is done using nanoimprinting technology, which is capable of fabricating large-area metalens with sub-wavelength structures. First, a mould or template with the desired structure is prepared. Then, the mould or template is contacted with a transparent substrate and the nanoscale structure is transferred by applying pressure and temperature. Through this nanoimprinting process, the subwavelength structure of the metalens is successfully replicated onto the transparent substrate, resulting in the formation of the metalens.

Continue reading “WiMi Developed Metasurface Eyepiece for Augmented Reality with Ultra-wide FOV” »

Artificial intelligence not only affords impressive performance, but also creates significant demand for energy. The more demanding the tasks for which it is trained, the more energy it consumes.

Víctor López-Pastor and Florian Marquardt, two scientists at the Max Planck Institute for the Science of Light in Erlangen, Germany, present a method by which artificial intelligence could be trained much more efficiently. Their approach relies on physical processes instead of the digital artificial neural networks currently used. The work is published in the journal Physical Review X.

The amount of energy required to train GPT-3, which makes ChatGPT an eloquent and apparently well-informed Chatbot, has not been revealed by Open AI, the company behind that artificial intelligence (AI). According to the German statistics company Statista, this would require 1,000 megawatt hours—about as much as 200 German households with three or more people consume annually. While this energy expenditure has allowed GPT-3 to learn whether the word “deep” is more likely to be followed by the word “sea” or “learning” in its data sets, by all accounts it has not understood the underlying meaning of such phrases.

It’s easy to trick the large language models powering chatbots like OpenAI’s ChatGPT and Google’s Bard. In one experiment in February, security researchers forced Microsoft’s Bing chatbot to behave like a scammer. Hidden instructions on a web page the researchers created told the chatbot to ask the person using it to hand over their bank account details. This kind of attack, where concealed information can make the AI system behave in unintended ways, is just the beginning.

Hundreds of examples of “indirect prompt injection” attacks have been created since then. This type of attack is now considered one of the most concerning ways that language models could be abused by hackers. As generative AI systems are put to work by big corporations and smaller startups, the cybersecurity industry is scrambling to raise awareness of the potential dangers. In doing so, they hope to keep data—both personal and corporate—safe from attack. Right now there isn’t one magic fix, but common security practices can reduce the risks.

“Indirect prompt injection is definitely a concern for us,” says Vijay Bolina, the chief information security officer at Google’s DeepMind artificial intelligence unit, who says Google has multiple projects ongoing to understand how AI can be attacked. In the past, Bolina says, prompt injection was considered “problematic,” but things have accelerated since people started connecting large language models (LLMs) to the internet and plug-ins, which can add new data to the systems. As more companies use LLMs, potentially feeding them more personal and corporate data, things are going to get messy. “We definitely think this is a risk, and it actually limits the potential uses of LLMs for us as an industry,” Bolina says.