Google has extended its AI Overviews in Search to more than 100 countries and territories. Initially launched in the US in May, the feature provides summarised snapshots at the top of search results. It now serves over one billion users globally each month.
The expanded rollout introduces more language options, including English, Hindi, Indonesian, Japanese, Portuguese, and Spanish. Google aims to enhance the usability of the tool, offering new features like in-line links, which improve website traffic by embedding source links directly within the text.
AI Overviews are also playing a role in the company’s advertising strategy. Ads will now appear within the AI-generated summaries for mobile users in the US, marking a new direction for Google’s ad business by integrating advertising more seamlessly.
Despite some challenges at launch, including incorrect information that raised concerns, Google has made significant improvements. Fine-tuning efforts are ongoing, and the feature has also been introduced to Google Shopping, further expanding its presence across the platform.
A new podcast titled Virtually Parkinsonbrings back the voice of Sir Michael Parkinson, using AI technology to simulate the late chat show host. Produced by Deep Fusion Films with support from Parkinson’s family, the series aims to recreate his interview style across eight episodes, featuring new conversations with prominent guests.
Mike Parkinson, son of the late broadcaster, explained that the family wanted listeners to know the voice is an AI creation, ensuring transparency. He noted the project was inspired by conversations he had with his father before he passed, saying Sir Michael would have found the concept intriguing, despite being a technophobe.
The release comes amid growing controversy around AI’s role in the creative arts, with many actors and presenters fearing it could undermine their careers. Though AI is often criticised for replacing real talent, Parkinson’s son argued that the podcast offers a unique way to extend his father’s legacy, without replacing a living presenter.
Co-creator Jamie Anderson clarified that the AI version acts as an autonomous host, conducting interviews in a way reflective of Sir Michael’s original style. The podcast seeks to introduce his legacy to younger audiences, while also raising ethical questions about the use of AI to recreate deceased individuals.
The Open Source Initiative (OSI) has introduced version 1.0 of its Open Source AI Definition (OSAID), setting new standards for AI transparency and accessibility. Developed over the years in collaboration with academia and industry, the OSAID aims to establish clear criteria for what qualifies as open-source AI. The OSI says the definition will help align policymakers, developers, and industry leaders on a common understanding of ‘open source’ in the rapidly evolving field of AI.
According to OSI Executive Vice President Stefano Maffulli, the goal is to make sure AI models labelled as open source provide enough detail for others to recreate them and disclose essential information about training data, such as its origin and processing methods. The OSAID also emphasises that open source AI should grant users freedom to modify and build upon the models, without restrictive permissions. While OSI lacks enforcement power, it plans to advocate for its definition as the AI community’s reference point, aiming to combat “open source” claims that don’t meet OSAID standards.
The new definition comes as some companies, including Meta and Stability AI, use the open-source label without fully meeting transparency requirements. Meta, a financial supporter of the OSI, has voiced reservations about the OSAID, citing the need for protective restrictions around its Llama models. In contrast, OSI contends that AI models should be openly accessible to allow for a truly open-source AI ecosystem, rather than restricted by proprietary data and usage limitations.
Maffulli acknowledges the OSAID may need frequent updates as technology and regulations evolve. OSI has created a committee to monitor its application and adjust as necessary, with an eye on refining the open-source definition to address emerging issues like copyright and proprietary data.
Alphabet’s recent earnings report showcases a robust 35% surge in Google Cloud revenue for the third quarter, signalling a strong demand for AI-driven cloud computing and setting a promising tone for competitors Microsoft and Amazon. The jump, the fastest pace of growth in two years, has sent Alphabet’s shares up by 5.5%, reflecting investor optimism about the company’s expanding foothold in the cloud sector. Analysts had anticipated growth of around 29%, making this an even stronger-than-expected outcome for Google’s cloud division.
While Alphabet’s cloud segment remains smaller than Amazon’s AWS and Microsoft’s Azure, its performance has been noteworthy, accounting for 13% of Alphabet’s third-quarter revenue, up from 11% a year prior. This consistent growth aligns with Google’s continued investment in AI-powered tools and custom chips, like the Tensor Processing Unit (TPU), which have set it apart from competitors by enhancing cloud capabilities for AI applications. Analysts like Angelo Zino of CFRA Research believe Google may deliver the most impressive cloud growth numbers this quarter.
Google has been pouring resources into AI advancements across its cloud and search businesses, including its chatbot Gemini, which offers AI-generated code, data processing, and cybersecurity tools. These innovations, combined with the Vertex AI platform that enables custom model creation, have made Google Cloud a compelling choice for organisations seeking advanced AI solutions.
Investments in AI are also fueling Alphabet’s core advertising business, which rose 10% in the quarter, and supporting its broader cloud infrastructure expansion. Google has announced plans to invest billions in new data centres worldwide to strengthen its market presence and technological capabilities.
In its latest earnings call, Alphabet’s new CFO, Anat Ashkenazi, confirmed that capital expenditures in 2025 are expected to surpass this year’s, underlining the company’s commitment to scaling its AI and cloud capabilities. Analysts like Gil Luria of D.A. Davidson emphasise that Google Cloud’s outstanding performance in recent quarters showcases Alphabet’s success in turning AI investments into substantial revenue growth, solidifying its position in a competitive market.
Leaked details about Google’s upcoming Pixel 10 and Pixel 11 smartphones hint at significant upgrades powered by an advanced Tensor G5 chip, according to Android Authority. The Pixel 10, expected in late 2025, may introduce new AI-driven features, including ‘Video Generative ML’ for on-device video editing and a ‘Sketch-to-Image’ tool that turns hand-drawn sketches into fully rendered images. The chip could also allow users to run advanced AI models, like Stable Diffusion, locally through the Pixel’s image app.
A standout feature rumoured for the Pixel 11 is an ‘Ultra Low Light video’ mode that builds on Google’s Night Sight technology to improve video quality in dark settings. This feature could enable higher-quality low-light recording with better exposure control and image stabilisation, allowing clearer and more vibrant videos shot in near darkness.
Both devices are expected to support recording 4K HDR video at up to 60 frames per second, enhancing video quality. Google’s move to incorporate more powerful on-device AI tools, paired with upgraded hardware, points to a continued focus on image and video processing innovation, likely to appeal to users who prioritise smartphone photography and creative applications.
Universal Music Group (UMG) has announced a partnership with Los Angeles-based AI music company KLAY Vision to create AI tools designed with an ethical framework for the music industry. According to Universal, the initiative focuses on exploring new opportunities for artists and creating safeguards to protect the music ecosystem as AI continues to evolve in creative spaces. Michael Nash, Universal’s chief digital officer, emphasised the importance of ethical AI use for artists’ rights in a rapidly changing industry.
The collaboration comes as Universal Music faces ongoing legal battles with other AI companies, including Anthropic AI, Suno, and Udio, over the use of its recordings in training music-generating AI models without authorisation. These cases highlight the growing concerns surrounding AI technology’s impact on the creative sector, particularly with respect to artists’ rights and intellectual property.
With this partnership, Universal Music aims to establish AI technologies that support artists’ needs while navigating the complex ethical questions surrounding AI-generated music. By working alongside US based KLAY Vision, Universal hopes to shape the future of AI in music responsibly and to develop solutions that ensure fair treatment of artists and their work.
Intel is expected to report its largest revenue drop in five quarters, signalling a possible decline in its market position in data centres and personal computers. CEO Pat Gelsinger faces mounting pressure from shareholders to revive Intel’s status as a leading chipmaker, especially as rivals like AMD capitalise on the surging demand for AI-driven chips. Wall Street analysts anticipate an 8% revenue decline to $13.02 billion, highlighting the urgency for Intel to advance its manufacturing technology and regain competitiveness.
Despite recent moves, including job cuts and securing a chipmaking contract with Amazon, investors remain sceptical. Intel’s market value has fallen below $100 billion, and its stock is down over 50% this year. Calls are growing for Intel to spin off its struggling foundry business, which posted a significant operating loss of $2.55 billion due to high production costs. This manufacturing segment is often blamed for Intel’s weakened gross margins, which are expected to dip to 37.9%.
Intel’s struggles are compounded by a 17% decline in data centre revenue, the company’s 10th straight quarterly drop. Meanwhile, AMD has gained momentum, with its data centre revenue projected to double due to its AI-focused chips. With half of the analysts covering Intel lowering their revenue forecasts, expectations are already low, leaving investors hoping for a strategic turnaround in Intel’s business model.
Apple announced that its Apple Intelligence AI suite will be available in the European Union starting in April 2025, with localised language support to follow. The AI-powered feature set, which includes advanced tools such as Writing Tools, Genmoji, and a redesigned Siri with ChatGPT integration, has until now been limited to US English. The delay in the European rollout was previously attributed to compliance requirements under the EU’s Digital Markets Act (DMA), which applies to certain digital platforms to ensure competition and user privacy.
With iOS 18.1, Mac users in Europe can already access Apple Intelligence features by switching their language settings, while iPhone and iPad users must wait until next April. The release will come with support for a dozen languages throughout 2025, including French, German, Italian, and Spanish, broadening accessibility for EU users.
Apple’s phased rollout underscores the tech giant’s efforts to adapt its products to EU regulatory standards while maintaining a consistent experience for European users. Although some features, like notification summaries, may not be available initially, Apple has committed to bringing as many AI capabilities as possible to European devices in future updates.
In a landmark case for AI and criminal justice, a UK man has been sentenced to 18 years in prison for using AI to create child sexual abuse material (CSAM). Hugh Nelson, 27, from Bolton, used an app called Daz 3D to turn regular photos of children into exploitative 3D imagery, according to reports. In several cases, he created these images based on photographs provided by individuals who personally knew the children involved.
Nelson sold the AI-generated images on various online forums, reportedly making around £5,000 (roughly $6,494) over an 18-month period. His activities were uncovered when he attempted to sell one of his digital creations to an undercover officer, charging £80 (about $103) per image.
Following his arrest, Nelson faced multiple charges, including encouraging the rape of a child, attempting to incite a minor in sexual acts, and distributing illegal images. This case is significant as it highlights the dark side of AI misuse and underscores the growing need for regulation around technology-enabled abuse.
San Francisco-based startup Untether has unveiled a new artificial intelligence chip, the 240 Slim, tailored for energy-efficient use in edge applications like autonomous vehicles and agricultural equipment. Unlike the large-scale data center chips produced by giants like Nvidia and AMD, Untether’s product is optimised to run pre-trained AI models, which means it focuses on inference, the process of applying existing AI models rather than training new ones.
As AI becomes more embedded in everyday technologies, demand for inference-focused chips is skyrocketing. Untether’s VP of product, Bob Beachler, anticipates the inference chip market to expand to $102B by 2027, far surpassing the training sector. The 240 Slim chip is built on the open-source RISC-V architecture, positioning it as a competitor to chips using Arm Holdings’ technology. Early tests by nonprofit MLCommons have shown promising performance results for Untether’s hardware.
Untether has already gained traction in the automotive sector; Mercedes-Benz plans to use Untether’s chips in its future autonomous vehicles. With these chips, the company aims to deliver cutting-edge performance with minimal power demands, a combination that could help drive innovation in autonomous tech, agriculture, and select data center applications.
