The European Commission has launched the OpenEuroLLM Project, a new initiative aimed at developing open-source, multilingual AI models. The project, which began on February 1, is supported by a consortium of 20 European research institutions, companies, and EuroHPC centres. Coordinated by Jan Hajič from Charles University and co-led by Peter Sarlin of AMD Silo AI, the project is designed to produce large language models (LLMs) that are proficient in all EU languages and comply with the bloc’s regulatory framework.
The OpenEuroLLM Project has been awarded the Strategic Technologies for Europe Platform (STEP) Seal, a recognition granted to high-quality initiatives under the Digital Europe Programme. This endorsement highlights the project’s importance as a critical technology for Europe. The LLMs developed will be open-sourced, allowing their use for commercial, industrial, and public sector purposes. The project promises full transparency, with public access to documentation, training codes, and evaluation metrics once the models are released.
The initiative aims to democratise access to high-quality AI technologies, helping European companies remain competitive globally and empowering public organisations to deliver impactful services. While the timeline for model release and specific focus areas have not yet been detailed, the European Commission has already committed funding and anticipates attracting further investors in the coming weeks.
Google is set to transform its Search engine into a more advanced AI-driven assistant, CEO Sundar Pichai revealed during an earnings call. The company’s ongoing AI evolution began with controversial “AI overviews” and is now expanding to include new capabilities developed by its research division, DeepMind. Google’s goal is to allow Search to browse the web, analyse information, and deliver direct answers, reducing reliance on traditional search results.
Among the upcoming innovations is Project Astra, a multimodal AI system capable of interpreting live video and responding to real-time questions. Another key development is Gemini Deep Research, an AI agent designed to generate in-depth reports, effectively automating research tasks that users previously conducted themselves. Additionally, Project Mariner could enable AI to interact with websites on behalf of users, potentially reshaping how people navigate the internet.
The shift towards AI-powered Search has sparked debate, particularly among businesses that depend on Google’s traffic and advertising. Google’s first attempt at AI integration resulted in embarrassing errors, such as incorrect and bizarre search responses. Despite initial setbacks, the company is pushing ahead, believing AI-enhanced Search will redefine how people find and interact with information online.
ByteDance, the company behind TikTok, has introduced OmniHuman-1, an advanced AI system capable of generating highly realistic deepfake videos from just a single image and an audio clip. Unlike previous deepfake technology, which often displayed telltale glitches, OmniHuman-1 produces remarkably smooth and lifelike footage. The AI can also manipulate body movements, allowing for extensive editing of existing videos.
Trained on 19,000 hours of video content from undisclosed sources, the system’s potential applications range from entertainment to more troubling uses, such as misinformation. The rise of deepfake content has already led to cases of political and financial deception worldwide, from election interference to multimillion-dollar fraud schemes. Experts warn that the technology’s increasing sophistication makes it harder to detect AI-generated fakes.
Despite calls for regulation, deepfake laws remain limited. While some governments have introduced measures to combat AI-generated disinformation, enforcement remains a challenge. With deepfake content spreading at an alarming rate, many fear that systems like OmniHuman-1 could further blur the line between reality and fabrication.
At the annual Almaty Digital Forum, experts highlighted the growing importance of preparing for the AI revolution sparked by the sudden rise of the Chinese AI company DeepSeek. The company’s appearance at the forum raised questions about the future of AI and humanity, particularly due to the affordability of DeepSeek’s AI models, which cost just $6 million to develop, compared to the $40-100 million investments from other global players. This has made AI solutions more accessible to smaller developers and countries.
During the forum, Kaan Teryioglu, CEO of VEON Group, emphasised that AI’s potential lies in enhancing human capabilities across various sectors. Experts agreed that AI will no longer be dominated by tech giants, with smaller developers now able to harness its power. However, concerns were raised about the risk of cultural homogenisation if AI technologies are not adapted to local languages and values.
The forum also showcased Central Asia’s ambition to keep up with global AI developments, with high-level representatives from several countries, including Kazakhstan, Armenia, and Uzbekistan, in attendance. Kazakhstan, in particular, is planning to train a million AI professionals by 2030, with the goal of boosting AI exports to $5 billion by 2029. The government is also launching Alem.ai, a hub for AI research, start-ups, and international collaboration, expected to play a key role in the country’s AI future.
Kazakhstan’s ambitious plans have attracted the attention of global tech giants, who are already in discussions about establishing offices at Alem.ai. With a focus on developing local talent and fostering innovation, Kazakhstan aims to position itself as Central Asia’s intellectual capital and a key player in the global AI landscape. The forum’s success, with over 220 tech companies and 80 local start-ups participating, signals that the country’s plans may not be overly ambitious after all.
India‘s finance ministry has issued an advisory urging employees to refrain from using AI tools like ChatGPT and DeepSeek for official tasks, citing concerns over the potential risks to the confidentiality of government data. The directive, dated January 29, highlights the dangers of AI apps on office devices, warning that they could jeopardise the security of sensitive documents and information.
This move comes amid similar actions taken by other countries such as Australia and Italy, which have restricted the use of DeepSeek due to data security concerns. The advisory surfaced just ahead of OpenAI CEO Sam Altman’s visit to India, where he is scheduled to meet with the IT minister.
Representatives from India’s finance ministry, OpenAI, and DeepSeek have yet to comment on the matter. It remains unclear whether other Indian ministries have implemented similar measures.
A former Google software engineer faces additional charges in the US for allegedly stealing AI trade secrets to benefit Chinese companies. Prosecutors announced a 14-count indictment against Linwei Ding, also known as Leon Ding, accusing him of economic espionage and theft of trade secrets. Each charge carries significant prison terms and fines.
Ding, a Chinese national, was initially charged last March and remains free on bond. His case is being handled by a US task force established to prevent the transfer of advanced technology to countries such as China and Russia.
Prosecutors claim Ding stole information on Google’s supercomputing data centres used to train large AI models, including confidential chip blueprints intended to give the company a competitive edge.
Ding allegedly began his thefts in 2022 after being recruited by a Chinese technology firm. By 2023, he had uploaded over 1,000 confidential files and shared a presentation with employees of a startup he founded, citing China’s push for AI development.
Google has cooperated with authorities but has not been charged in the case. Discussions between prosecutors and defence lawyers indicate the case may go to trial.
AMD has announced it will release its next-generation data centre GPUs, the Instinct MI350 series, earlier than originally planned. CEO Lisa Su revealed during the company’s Q4 2024 earnings call that strong demand and smooth development have allowed AMD to move up production to mid-2025, rather than the latter half of the year.
The move comes as AMD looks to gain ground on industry leader Nvidia, whose dominance in the data centre market continues to pose a challenge. Despite this, AMD’s Instinct GPU sales surpassed $5 billion in 2024, and the company expects its data centre division to see double-digit growth in 2025. Major customers such as Meta, Microsoft, and IBM have contributed to AMD’s momentum in the AI computing sector.
Su expressed confidence in the expansion of AMD’s data centre business, forecasting substantial growth in AI-related computing over the coming years. Investors responded positively to the announcement, with AMD’s stock rising by over 4% following the earnings report.
Chinese companies are increasingly backing DeepSeek‘s AI, marking a pivotal moment for the industry. Firms like Moore Threads and Hygon Information Technology are enabling their computing clusters to support DeepSeek’s R1 and V3 models, which use domestically produced graphic processing units (GPUs). Analysts have hailed this as a ‘watershed moment,’ particularly as these models rival those run on global high-end chips.
Huawei has also joined the trend, integrating DeepSeek’s models with its Ascend cloud service and partnering with AI infrastructure start-up SiliconFlow. This integration showcases the growing potential of Chinese-made chips to support competitive large language models, reducing reliance on US hardware. Additionally, major Chinese tech companies such as Alibaba, Baidu, and Tencent have made DeepSeek’s models available through their cloud services.
DeepSeek’s rise has captured significant attention, especially after the launch of its free AI assistant, which surpassed ChatGPT in app downloads within days. The company’s approach, requiring far less computing power than its US counterparts, has further fueled its success. While DeepSeek is gaining traction globally, some countries, including Italy and the Netherlands, have raised privacy concerns, leading to investigations and blocks on its app.
The emergence of China’s DeepSeek, a low-cost AI model that requires less advanced chips, initially sparked a global selloff in tech stocks. Investors raised concerns about the future of Western investments in chipmakers and data centres. Nvidia, a leader in the sector, saw its market value plummet by nearly $600 billion, marking the largest one-day loss in company history. However, since then, tech stocks, particularly in Europe, have rebounded, with some investors turning to a 160-year-old economic theory to explain the market’s recovery: the Jevons Paradox.
The Jevons Paradox, proposed by economist William Stanley Jevons, suggests that as a resource becomes more efficient, its demand can actually increase. In the context of AI, the paradox argues that as AI technology becomes cheaper and more accessible, its use will likely expand. This idea is gaining traction among European investors, with some believing that lower AI costs could drive a new wave of investment in software and AI technologies, particularly in areas like data and inference.
Despite some scepticism, several fund managers have embraced the paradox as a reason for optimism in AI markets. The potential need for data centres and infrastructure to support AI growth remains a key focus, though the rise of more efficient software like DeepSeek has led some to question whether the sector will require as many resources as previously expected. While the long-term outlook remains uncertain, many see the reduction in AI costs as a catalyst for further investment and growth, especially in European companies that rely on AI technologies.
Not everyone is convinced, however, with some analysts pointing to Nvidia’s rapid stock rise as a sign that market dynamics may be more complex than the Jevons Paradox suggests. Nonetheless, for many, the falling costs of AI technology have reinforced the belief that demand for AI-related investments will continue to thrive.
Salesforce is cutting more than 1,000 jobs while simultaneously hiring employees to support its growing AI business, according to a Bloomberg report. Affected workers will have the opportunity to apply for other positions within the company, but it remains unclear which divisions will see the largest reductions. Salesforce has not yet commented on the job cuts.
The customer relationship management software giant had over 72,000 employees as of early 2024. CEO Marc Benioff previously announced that Salesforce had secured more than 1,000 paid deals for its AI-driven platform, Agentforce. The latest layoffs follow previous reductions, including 700 jobs cut in early 2024 and another 300 later in the year.
The job cuts highlight the company’s shift towards artificial intelligence, as it seeks to capitalise on growing demand for AI-powered tools. Despite the reductions, Salesforce continues to invest in AI products and expand its workforce in areas aligned with its future growth strategy.
