Artificial intelligence

AI data centres strain US power grid

The increasing number of data centres powering AI could pose significant challenges for the United States power grid, as reported by Bloomberg. Findings indicate a connection between data centre activity and ‘bad harmonics,’ a term describing electrical power distortions that can damage appliances, heighten fire risks, and lead to power outages.

Bloomberg’s analysis, using data from Whisker Labs and DC Byte, revealed that over half of homes with the worst power distortions are located within 20 miles of active data centres. AI-driven centres, with their unpredictable energy needs, exacerbate these grid strains, pushing infrastructure beyond its designed limits.

Experts, including Aman Joshi of Bloom Energy, warn that no current grid can handle such intense load fluctuations from multiple data centres. While some utility companies question these findings, the report underscores the urgent need to address the interplay between technological expansion and energy stability.

AI model Aitana takes social media by storm

In Barcelona, a pink-haired 25-year-old named Aitana captivates social media with her stunning images and relatable personality. But Aitana isn’t a real person—she’s an AI model created by The Clueless Agency. Launched during a challenging period for the agency, Aitana was designed as a solution to the unpredictability of working with human influencers. The virtual model has proven successful, earning up to €10,000 monthly by featuring in advertisements and modelling campaigns.

Aitana has already amassed over 343,000 Instagram followers, with some celebrities unknowingly messaging her for dates. Her creators, Rubén Cruz and Diana Núñez, maintain her appeal by crafting a detailed “life,” including fictional trips and hobbies, to connect with her audience. Unlike traditional models, Aitana has a defined personality, presented as a fitness enthusiast with a determined yet caring demeanour. This strategic design, rooted in current trends, has made her a relatable and marketable figure.

The success of Aitana has sparked a new wave of AI influencers. The Clueless Agency has developed additional virtual models, including a more introverted character named Maia. Brands increasingly seek these customisable AI creations for their campaigns, citing cost efficiency and the elimination of human unpredictability. However, critics warn that the hypersexualised and digitally perfected imagery promoted by such models may negatively influence societal beauty standards and young audiences.

Despite these concerns, Aitana represents a broader shift in advertising and social media. By democratising access to influencer marketing, AI models like her offer new opportunities for smaller businesses while challenging traditional notions of authenticity and influence in the digital age.

Hackers target Chrome extensions in data breach campaign

A series of intrusions targeting Chrome browser extensions has compromised multiple companies since mid-December, experts revealed. Among the victims is Cyberhaven, a California-based data protection company. The breach, confirmed by Cyberhaven on Christmas Eve, is reportedly part of a larger campaign aimed at developers of Chrome extensions across various industries.

Cyberhaven stated it is cooperating with federal law enforcement to address the issue. Browser extensions, commonly used to enhance web browsing, can also pose risks when maliciously altered. Cyberhaven’s Chrome extension, for example, is designed to monitor and secure client data within web-based applications.

Experts identified other compromised extensions, including those involving AI and virtual private networks. Jaime Blasco, cofounder of Texas-based Nudge Security, noted that the attacks appear opportunistic, aiming to harvest sensitive data from numerous sources. Some breaches date back to mid-December, indicating an ongoing effort.

Federal authorities, including the US cyber watchdog CISA, have redirected inquiries to the affected companies. Alphabet, maker of the Chrome browser, has yet to respond to requests for comment.

Plans for major structural change announced by OpenAI

OpenAI has unveiled plans to transition its for-profit arm into a Delaware-based public benefit corporation (PBC). The move aims to attract substantial investment as the competition to develop advanced AI intensifies, and the proposed structure intends to prioritise societal interests alongside shareholder value, setting the company apart from traditional corporate models.

The shift marks a significant step for OpenAI, which started as a nonprofit in 2015 before establishing a for-profit division to fund high-cost AI development. Its latest funding round, valued at $157 billion, necessitated the structural change to eliminate a profit cap for investors, enabling greater financial backing. The nonprofit will retain a substantial stake in the restructured company, ensuring alignment with its original mission.

OpenAI faces criticism and legal challenges over the move. Elon Musk, a co-founder and vocal critic, has filed a lawsuit claiming the changes prioritise profit over public interest. Meta Platforms has also urged regulatory intervention. Legal experts suggest the PBC status offers limited enforcement of its mission-focused commitments, relying on shareholder influence to maintain the balance between profit and purpose.

By adopting this structure, OpenAI aims to align with competitors like Anthropic and xAI, which have similarly raised billions in funding. Analysts view the move as essential for securing the resources needed to remain a leader in the AI sector, though significant hurdles remain.

AI robot stuns with record-breaking basketball shot

A humanoid robot named CUE6 has captivated audiences in Japan with its basketball prowess, achieving a Guinness World Record for the longest shot by a humanoid robot. Developed by Toyota engineers, the robot’s achievement highlights the potential of AI in mimicking human precision and adapting to complex tasks.

CUE6’s journey began in 2017 as an experimental project. Starting with LEGO-based prototypes, the team gradually refined the robot’s capabilities, culminating in its ability to dribble, handle balls, and adapt its movements based on real-time analysis. By 2019, the robot had already achieved a remarkable milestone: 2,020 consecutive free throws. The latest version, CUE6, demonstrated the power of AI by recalibrating its shot after a miss to secure the record on its second attempt.

Toyota engineers view CUE6 as more than a novelty. The project serves as a testing ground for AI systems capable of dynamic learning and adaptation. While the immediate goal of creating a robot that can dunk like Michael Jordan remains aspirational, the technologies developed for CUE6 in Japan have far-reaching implications beyond sports, from automation to healthcare.

Goodman Group surges as AI boom fuels data centre demand

Goodman Group has emerged as a standout performer in Australia’s real estate sector this year, with its stock soaring 45.8%, marking its strongest run since 2006. The surge is driven by a boom in AI, which has sparked frenzied demand for data centres. Global tech giants like Amazon, Microsoft, and Meta have poured billions into expanding their data centre capacity, fueling growth for developers like Goodman.

At the end of September, 42% of Goodman’s A$12.8 billion ($7.96 billion) development portfolio was dedicated to data centres, a jump from 37% last year. Analysts like John Lockton of Sandstone Insights see this focus as a key strength, noting the company’s access to land with power supply, a critical factor for future data-centre projects.

Despite the optimism, some caution remains. Analysts warn that soaring valuations in the data-centre sector could cool investor enthusiasm. Goodman’s high stock prices and concerns over risks like obsolescence and increased competition raise questions about long-term returns. Nonetheless, with robust demand for AI infrastructure, Goodman’s pipeline and strategic positioning keep it well-poised for continued growth.

Schools embrace AI to improve accessibility

AI is transforming education for students with disabilities, offering tools that level the playing field. From reading assistance to speech and language tools, AI is enabling students to overcome learning barriers. For 14-year-old Makenzie Gilkison, who has dyslexia, AI-powered assistive technology has been life-changing, allowing her to excel academically and keep pace with her peers.

Schools are increasingly adopting AI for personalised learning, balancing its benefits with ethical considerations. Tools like chatbots and text-to-speech programs enhance accessibility while raising concerns about over-reliance and the potential for misuse. Experts emphasise that AI should support, not replace, learning.

Research and development are advancing rapidly, addressing challenges like children’s handwriting and speech impediments. Initiatives such as the National AI Institute for Exceptional Education aim to refine these tools, while educators work to ensure students and teachers are equipped to harness their potential effectively.

Automation Anywhere introduces advanced AI solutions

The automation industry is evolving beyond Robotic Process Automation (RPA) to embrace multi-agentic AI systems capable of autonomous decision-making. Companies like Automation Anywhere are at the forefront, introducing AI Agent Studio to help enterprises streamline operations across finance, HR, IT, and customer service. These agents accelerate workflows, reduce costs, and enhance operational efficiency by up to 90%.

Automation Anywhere executives highlight how these advanced AI agents surpass earlier systems by integrating retrieval-augmented generation (RAG) with decision-making capabilities. Unlike static models, these agents learn from user interactions, ensuring adaptability and accuracy. Their blend of RAG and AI offers enterprises scalable, secure, and flexible solutions tailored to specific needs.

The shift from RPA to Agentic Process Automation (APA) marks a milestone, enabling automation of complex processes while fostering innovation and redefining job roles. With applications spanning healthcare, finance, retail, and manufacturing, AI agents are poised to disrupt industries and drive significant growth.

Snapdragon powers AI-driven Samsung Galaxy S25 Ultra

Samsung’s upcoming Galaxy S25 Ultra is set to debut with Qualcomm’s Snapdragon 8 Elite chipset, bringing advanced AI features directly to the device. A standout capability of the chipset enables on-device AI-powered image editing, enhancing privacy and reducing reliance on internet connectivity.

Code leaks have highlighted a feature called ‘FEATURE_GEN_EDIT_ON_DEVICE,’ which points to AI tools operating locally on the phone. Alongside this, Samsung plans to introduce a revamped AI-powered Bixby assistant with the Galaxy S25 lineup, aiming to outpace competitors like the iPhone 16.

All Galaxy S25 models are expected to exclusively use Snapdragon processors, with no signs of Exynos chipsets in the series. A leaked specifications sheet also suggests the Ultra variant will boast up to 16 GB of RAM, improving overall AI performance.

As manufacturers increasingly focus on AI, these features are only the beginning of a broader transformation. The Galaxy S25 Ultra represents a significant step in showcasing how powerful AI can reshape mobile experiences.

AGI linked to profits in Microsoft and OpenAI agreement

OpenAI and Microsoft have reportedly agreed on a financial benchmark to define AGI. According to ‘The Information’, AGI will be achieved only when OpenAI’s AI systems generate profits exceeding $100 billion. This definition departs from traditional technical interpretations of AGI and suggests the milestone is many years away.

Despite growing speculation about the progress of models like OpenAI’s o3, the company is currently unprofitable. It expects significant losses this year and predicts profitability only by 2029. The high computational costs associated with advanced AI models pose additional challenges to meeting the ambitious profit target.

Microsoft’s access to OpenAI’s technology hinges on this definition. Under their agreement, Microsoft retains access to OpenAI’s models until AGI is achieved. This provision has sparked discussions, as some believe OpenAI could prematurely declare AGI to gain strategic advantage, though the profit-centric definition may delay such claims.

Experts remain divided on whether the o3 model represents meaningful progress toward AGI. Its performance gains are tempered by substantial expenses, underscoring the tension between innovation and commercial viability in AI development.