Octopuses Prefer Specific Arms for Specific Tasks

The latest research aims to thoroughly investigate how wild octopuses utilize their arms within their natural environments. This pioneering study correlates arm movements to the entire animal in intricate, real-world contexts by examining arm dynamics across various settings. The results indicate that all arms are capable of executing all types of actions, yet a distinct pattern of arm specialization was evident. The front arms primarily engage in movements that aid in exploration, whereas the rear arms focus on facilitating locomotion. Additionally, the octopus displayed remarkable adaptability, with a single arm executing multiple actions simultaneously, showcasing coordination among different arms—signifying advanced motor control.

Illustrations of 12 arm actions from various wild octopus behaviors. These cephalopods frequently employ multiple arm actions at once, either on one arm or across several. Image credits: Venice et al., doi: 10.1038/s41598-025-10674-y.

The structure of an octopus arm is intricate, comprising four distinct muscle groups oriented horizontally, vertically, diagonally, and circularly around a central nerve.

This arrangement allows the octopus’s arms to adapt in numerous ways, enabling a variety of actions essential for tasks such as hunting, locomotion, and self-defense.

Despite this complexity, there is still a limited understanding of how wild octopuses utilize and modify their arms.

In this new study, Chelsea Venice and her colleagues at Florida Atlantic University analyzed 25-minute video recordings of wild octopuses filmed in the Atlantic and Caribbean between 2007 and 2015.

The observed octopuses belonged to the species Octopus vulgaris or closely related species such as Octopus insularis and Octopus americanus.

The researchers documented which arms were used each time an octopus exhibited one of 15 distinct behaviors (like crawling).

They also noted the combinations of 12 different arm actions (e.g., curling) and four distinct deformations (e.g., extension) executed by each arm during these activities.

Researchers found that every octopus is capable of transforming all eight arms in four diverse ways, enabling every arm to perform all actions.

The study revealed that both sides of the body utilize arms equally, although the front four arms are more actively engaged than the rear four (64% versus 36%).

The front arms are primarily employed for exploring, while the rear arms primarily assist in movement.

Consequently, two actions are notably more frequent with the rear arms: rolling, where the arm glides along the seabed akin to a conveyor belt, and lifting, where the arm extends vertically downwards.

“Our findings are among the first to demonstrate that octopuses utilize specific limbs for designated tasks—a behavior previously only documented in primates, rodents, and fish,” stated the researchers.

“These discoveries could inform advancements in robotic arms designed to replicate the functionality of the octopus.”

This study was published this week in the journal Scientific Reports.

____

Co Bennice et al. 2025. The flexibility of the octopus arm enhances complex behavior across various natural environments. Sci Rep 15, 31875; doi:10.1038/s41598-025-10674-y

Source: www.sci.news

Chinese AI Chip Company Recently Blacklisted Over Arms Concerns Now Granted Access to UK Technology

Chinese engineers are developing artificial intelligence chips for use in “advanced weapons systems” and have been granted access to cutting-edge British technology, as reported by the Guardian.

Moore Thread and Viren Technology, described as “China’s leading AI chip designers,” have been subject to U.S. export controls for their chip development. It is noted that the technology can provide artificial intelligence capabilities for the advancement of weapons of mass destruction, advanced weapons systems, and high-tech surveillance applications that raise national security concerns.

Before being blacklisted in the US in 2023, the companies had a broad license with UK-based Imagination Technologies, known for its expertise in designing advanced microchips essential for AI systems.

Imagination Technologies, a representative of the UK technology industry, denied intentionally trying to relocate its cutting-edge secrets to China. Representatives from Imagination confirmed the existence of licenses to Moore Thread and Viren Technology.

Allegations have arisen regarding Imagination’s partnerships with Chinese companies and the potential risks of knowledge transfer. Tensions between business with China and national security concerns have been highlighted by these developments.

Since 2020, at least three Chinese companies have obtained licenses to use Imagination’s chip designs, raising concerns about the potential misuse of intellectual property.

Imagination has worked closely with Apple in the past, contributing to the development of iPhone chips. However, concerns have been raised about the risks of sharing too much of its intellectual property with Chinese companies.

The acquisition of Imagination by a Chinese-backed buyer in 2017 raised further concerns about technology transfer and national security implications.

Imagination’s arrangements with Chinese customers are considered “totally normal” and have been described as limited in scope, duration, and usage rights.

Imagination’s policy of not doing business with companies on the US government’s Entity List raises questions about the termination of licenses granted to Chinese companies in October 2023.

A new report from the UK and China transparency research institute sheds light on further questions surrounding Chinese companies’ relationships with Imagination.

Moore Thread and Biren Technology, two Chinese chipmakers, have faced scrutiny for their development of GPUs for AI systems with potential ties to Imagination’s technology.

Funding for Biren Technology comes from the Russia-China Investment Fund, sparking concerns about deepening alliances between China and Moscow in the tech industry.

Source: www.theguardian.com

Twisted Spiral Arms Galaxy Hosting Supernova Discovered by Hubble Space Telescope

Astronomers used the NASA/ESA Hubble Space Telescope to capture this image of the barred spiral galaxy LEDA 857074.

This Hubble image shows the barred spiral galaxy LEDA 857074. The color image was created from observations in the near-infrared part of the spectrum with Hubble’s Wide Field Camera 3 (WFC3). Four filters were used to sample different wavelengths. Color is produced by assigning a different hue to each monochromatic image associated with an individual filter. Image courtesy of NASA / ESA / Hubble / RJ Foley.

LEDA857074 It is a barred spiral galaxy located in the constellation Eridanus.

“Hubble has observed a wide range of celestial objects, from galaxies, nebulae and star clusters to planets in our solar system and beyond,” Hubble astronomers said in a statement.

“Observing programs typically aim to collect data that will enable astronomers to answer specific questions.”

“Naturally, this means that most of the planned observations will be directed at objects that astronomers have already studied.”

“Some are well-known, such as the Crab Nebula and the globular cluster Omega Centauri, while others, such as the Spider Galaxy and NGC 4753, are less well known to the public but have been featured in hundreds of scientific papers.”

“This galaxy is not like that: LEDA 857074 has been named in fewer than five papers, one of which is the Lyon-Meudon extragalactic database itself.”

“Apart from its location, virtually no data has been recorded about this object. It has never been studied since it was discovered. So why did it attract the attention of the legendary Hubble telescope?”

In 2022, an automated survey observed a supernova event in LEDA 857074 called SN 2022ADQZ.

“Although astronomers have catalogued millions of galaxies and tens of thousands of supernovae are detected annually today, the probability of discovery in any particular galaxy is low,” the researchers said.

“We don’t know how actively LEDA 857074 is forming stars, and therefore how frequently it will undergo supernova explosions.”

“The spotlight from this supernova made this galaxy an unexpected and lucky target for Hubble!”

“This object joins the ranks of many other well-known celestial objects thanks to its unique imaging by the Hubble Space Telescope.”

Source: www.sci.news

Is the climate resilient enough to handle the escalating energy needs of the AI arms race?

The rise of artificial intelligence has propelled the stock prices of major tech companies to new heights, but this growth has come at the expense of the industry’s environmental efforts.

Google recently admitted that AI technology poses a challenge to its sustainability objectives. The company disclosed that its data centers, crucial for its AI infrastructure, have caused a 48% increase in greenhouse gas emissions since 2019. Google cited “significant uncertainties” in achieving its goal of net-zero emissions by 2030, particularly due to the complex and unpredictable environmental impacts of AI.

As the tech industry races ahead with AI advancements, the question arises: can technology mitigate the environmental impact of AI, or will the pursuit of cutting-edge innovation overshadow these concerns?


Why is AI a threat to tech companies’ environmental goals?

Data centers play a critical role in developing and operating AI models like Google’s Gemini and OpenAI’s GPT-4. These centers house complex computing equipment that require substantial electricity, leading to CO2 emissions both from energy sources and the manufacturing processes involved. According to the International Energy Agency, data centers are projected to double their electricity consumption by 2026, equivalent to Japan’s energy demand. Additionally, studies suggest that AI’s water consumption could reach significant levels by 2027, potentially straining resources equivalent to England’s annual consumption.


What do experts say about the environmental impact?

Government-sponsored reports in the UK have highlighted the importance of energy sources in determining the environmental cost of technology. Some experts caution that the reliance on fossil-fuel-powered energy sources for training AI models remains a significant challenge. While tech companies are increasing their use of renewable energy to meet sustainability goals, concerns persist that the lack of clean energy may push other users towards fossil fuels.

Alex de Vries, founder of Digiconomist, notes the dual challenge of rising energy consumption in AI and the struggle to secure sustainable energy sources.


Will there be enough renewable energy?

Global efforts to triple renewable energy resources by the end of the decade face challenges due to surging energy demands from AI data centers. The International Energy Agency warns that current plans may only double renewable energy capacity by 2030, potentially impacting climate goals.

Technology companies may need to invest heavily in new renewable energy projects to meet the escalating electricity needs driven by AI.


How quickly can new renewable energy projects be built?

While renewable energy projects like wind and solar farms can be developed relatively quickly, bureaucratic hurdles and grid connectivity issues can delay the process for years. The pace of building offshore wind and hydroelectric schemes faces similar challenges, posing concerns about whether renewable energy can keep up with the expansion of AI.

The reliance on existing low-carbon sources by tech companies may divert clean energy away from other users, potentially increasing fossil fuel consumption to meet growing demands.


Will AI’s power demands keep growing?

The escalating energy needs of AI systems could lead to higher energy costs, prompting cost-saving measures in the industry. However, the competitive landscape and the push for cutting-edge AI technologies may result in excessive electricity consumption despite rising costs.

The pursuit of state-of-the-art AI systems has fueled a “winner takes all” mentality among tech giants, compelling heavy investments in the development of advanced AI. The pressure to remain at the forefront of AI innovation, including the race towards achieving AGI, threatens to escalate energy consumption and costs.

Despite advancements in AI efficiency, the industry’s drive for innovation may offset potential energy savings, akin to the economic concept known as “Jevons’ Paradox.”


Won’t AI companies learn to use less electricity?

While AI breakthroughs continue to enhance efficiency, the industry’s relentless pursuit of cutting-edge models may counteract potential energy savings. The growth in AI capabilities does not necessarily translate to reduced energy consumption, leading to a paradox similar to historical instances of technological advancements increasing use rather than conserving resources.

Source: www.theguardian.com