Republican Senator Ted Cruz has called for an investigation into whether European governments have improperly influenced US policies on AI. Cruz’s concerns stem from growing international collaborations on AI regulation, including treaties and partnerships initiated by the Biden administration.
Cruz criticised European regulations as overly restrictive, claiming they target American AI companies and could shape US policies unfairly. He also accused the Centre for the Governance of Artificial Intelligence (GovAI), a UK-based nonprofit, of political activities without registering as a foreign agent, though GovAI has denied any wrongdoing.
The European Union has taken a leading role in AI regulation, recently passing the AI Act, the world’s first comprehensive law for governing technology. Cruz has framed these efforts as part of what he describes as ‘radical left’ interference, urging transparency about foreign involvement in shaping US AI laws.
Photographer Eugenio Marongiu has harnessed the power of OpenAI’s unreleased text-to-video model, Sora, to create Surreal Elderhood, a project blending absurdity and vivid realism. As an alpha tester for the model, Marongiu explored its potential to transform his artistic workflow, which traditionally involved animating images manually after creating them.
The Sora model enabled Marongiu to accelerate this process, although the bulk of his time remained devoted to conceptualising, testing, and editing. The project took about two days to complete, showcasing Sora’s potential to streamline complex creative tasks. Despite its promise, the technology remains challenging to use and has drawn controversy for its broader implications.
While critics highlight the limitations and ethical concerns of such AI tools, artists like Marongiu continue to push creative boundaries, exploring the intersections of technology and imagination. The ongoing experimentation with AI like Sora hints at its transformative possibilities in art and beyond.
Google Cloud has partnered with Air France-KLM to apply generative AI technology to the airline group’s vast data. The airline’s extensive operations, which include 551 aircraft and 93 million passengers carried in 2023, generate significant amounts of data. Google Cloud’s AI solution will analyse passenger preferences and travel patterns and optimise aircraft maintenance predictions.
The partnership aims to enhance the airline’s operations by offering more tailored services to passengers and improving maintenance efficiency, reducing the time needed for predictive analysis from hours to minutes.
Despite the collaboration, Air France-KLM will retain full control over its data. Matt Renner, President of Google Cloud’s Global Revenue, emphasised the value of airline data in driving operational insights and enhancing customer experiences.
Chinese AI company SenseTime Group, which has struggled to keep up with rivals in the generative AI sector, announced a major organisational restructuring on Tuesday to shift its focus toward generative AI technologies. The Hong Kong-listed firm, which was once a leader in computer vision and surveillance, has faced a 61% drop in its share price since its IPO three years ago.
As part of its transformation, SenseTime is pivoting to make generative AI its core business, aiming to drive future growth and profitability. This comes as its traditional AI business, especially in computer vision, has seen a significant decline, with revenues from its ‘traditional AI’ segment dropping by more than 50% in the first half of the year.
SenseTime launched its own large language model, SenseNova, in early 2023, positioning it as a competitor to OpenAI’s GPT models. The company’s restructuring involves the creation of several new business units, each with its own CEO, focusing on sectors like smart healthcare, robotics, and smart retail. Despite its challenges, SenseTime continues to push for a shift toward more profitable, cutting-edge AI technologies.
Investors are flocking to data centre operators in the Asia Pacific region, driven by the growing demand for AI services and robust market valuations. Major transactions, like Blackstone’s $15.58 billion acquisition of Australia’s AirTrunk, have set high benchmarks for the sector. Industry experts predict that the region’s data centres will continue to see strong valuations due to their nascent stage and promising growth, despite concerns about insufficient infrastructure in some areas.
Several notable investment opportunities have surfaced, such as the sale of stakes in Indonesian data centre NeutraDC and Telkom’s data centre arm, which could be valued at over $1 billion. These deals reflect a broader trend of investors seeking high-growth opportunities in the region. NeutraDC’s expansion plan, which aims to increase capacity to 500 megawatts by 2030, has made it an attractive target, with valuations potentially exceeding 20 times core earnings.
The Asia Pacific region has become a leader in global data centre mergers and acquisitions, surpassing half of the world’s total transactions this year. This surge is attributed to the booming AI demand, with companies rapidly expanding their data processing capacity. However, some investors warn that the sustainability of these high valuations will depend on overcoming challenges like power shortages and the reliable delivery of new infrastructure projects.
While the long-term outlook for Asia Pacific’s data centre market remains positive, experts predict that growth may slow slightly as new capacity is brought online. Investors will need to navigate execution risks to maintain the sector’s momentum and ensure the continued expansion of data centre infrastructure.
Australia‘s competition watchdog has called for a review of efforts to ensure more choice for internet users, citing Google’s dominance in the search engine market and the failure of its competitors to capitalise on the rise of AI. A report by the Australian Competition and Consumer Commission (ACCC) highlighted concerns about the growing influence of Big Tech, particularly Google and Microsoft, as they integrate generative AI into their search services. This raises questions about the accuracy and reliability of AI-generated search results.
While the use of AI in search engines is still in its early stages, the ACCC warns that large tech companies’ financial strength and market presence give them a significant advantage. The commission expressed concerns that AI-driven search could lead to misinformation, as consumers may find AI-generated responses both more useful and less accurate. In response to this, Australia is pushing for new regulations, including laws to prevent anti-competitive behaviour and improve consumer choice.
The Australian government has already introduced several measures targeting tech giants, such as requiring social media platforms to pay for news content and restricting access for children under 16. A proposed new law could impose hefty fines on companies that suppress competition. The ACCC has called for service-specific codes to address data advantages and ensure consumers have more freedom to switch between services. The inquiry is expected to close by March next year.
This holiday season, millions of shoppers are set to buy gifts online, but tech companies are vying to make AI agents the new shopping assistants. Platforms like Perplexity, OpenAI, and Google are developing AI tools that can browse websites, select products, and even complete purchases. Perplexity recently launched a shopping agent that combines navigation and checkout features, though it’s still ironing out inefficiencies.
AI-driven shopping isn’t without challenges. Early tests show agents struggling with stock availability and delayed purchases, while companies like Perplexity rely on human oversight to address errors. Privacy concerns are also emerging, especially with AI systems accessing billing information. However, partnerships like Perplexity’s with Stripe, which uses single-use payment cards, aim to mitigate risks and provide secure transactions.
These tools could revolutionise online shopping by saving time and uncovering hidden deals, but they also threaten traditional e-commerce models. Retailers and advertisers may resist as fewer consumers visit storefronts and targeted ad opportunities shrink. Despite the hurdles, 2025 is expected to see significant advancements in AI shopping agents, promising a glimpse into the future of effortless online retail.
AI hardware startup Tenstorrent has secured a $693M Series D funding round, valuing the company at over $2.6B. The investment, led by Samsung Securities and AFW Partners, includes participation from Hyundai and Bezos Expeditions, among others. Founded in 2016 and based in Toronto, Canada, Tenstorrent aims to challenge Nvidia’s dominance in the AI chip market.
Tenstorrent’s CEO, Jim Keller, a renowned microprocessor engineer, announced plans to develop AI training servers and expand its engineering team using the new capital. The company has also committed to releasing a new AI processor every two years, with signed customer contracts amounting to nearly $150M. This move positions Tenstorrent among a growing number of startups racing to innovate in AI hardware, alongside competitors such as Axelera, Etched, and Groq.
The funding highlights escalating investor interest in alternative AI chipmakers as demand for cutting-edge computing solutions soars. With its ambitious roadmap and backing from high-profile investors, Tenstorrent is poised to carve out a significant share of the burgeoning AI hardware market.
Cancer drug development faces a pressing challenge: most new compounds fail to advance through clinical trials, despite rising cancer rates, particularly among younger adults. French entrepreneur Fanny Jaulin believes the root cause lies in outdated trial designs, not the drugs themselves. Her startup, Orakl Oncology, founded in 2023 as a spinoff from the Gustave Roussy Institute of Oncology, aims to revolutionise this process by blending data analysis with biological insights.
Unlike competitors focusing solely on AI or biology, Orakl combines the two to tackle cancer’s complexity. The approach leverages organoids—miniature, simplified organ versions—to test drug responses, supplemented by patient avatars that integrate tissue samples with extensive datasets. These datasets, though smaller than those of some competitors, contain 40 variables per patient, allowing a focus on hard-to-treat cancers like colorectal and pancreatic.
Orakl plans to commercialise two products: O-Predict, which forecasts how patients might respond to drug candidates, and O-Validate, designed to match drugs to biological data. These innovations cater to pharmaceutical developers and biotech firms alike, supported by nearly €15 million in funding, including a recent seed round led by Singular.
Jaulin’s mission goes beyond business success. She seeks to address the therapeutic gaps in precision medicine, making drug discovery faster and more effective. With cancer increasingly becoming a chronic condition, Orakl’s ultimate goal is to bring more life-saving treatments to patients.
Nebius Group has secured $700 million through a private placement, attracting investors such as Nvidia, Accel, and Orbis Investments. The AI infrastructure firm, founded by former Yandex CEO Arkady Volozh, aims to enhance its capabilities to serve artificial intelligence developers globally.
The funding will enable Nebius to accelerate its investments in GPU clusters, cloud platforms, and other AI development tools. Having already committed $1 billion in investments by mid-2025, the firm hinted at potential further expansion. With more than half its clientele based in the United States, Nebius is leasing data centre space in Kansas City, Missouri, and exploring additional growth opportunities.
As part of the placement, Nebius issued 33,333,334 Class A shares at $21 per share, reflecting a slight premium to recent Nasdaq trading averages. The financing was oversubscribed, leading to a revised annualised revenue projection of $750 million to $1 billion by the end of 2025.
Nebius also announced it would no longer pursue a previously approved share buyback, citing strong investor interest and favourable market conditions. Chairman John Boynton stated that shareholders who wished to exit had ample opportunity to do so at competitive prices.
