South Korea has announced the creation of a $34 billion policy fund to support companies in key industries such as semiconductors, automotive, and advanced technologies, in response to growing global competition and protectionist policies.
The state-run Korea Development Bank will manage the fund by providing low-interest loans and other financial support over the next five years to businesses involved in national strategic industries.
The government stressed that maintaining competitiveness in these strategic sectors has become crucial to the country’s economic security, particularly amid the uncertainties caused by the new US administration.
South Korea has identified 12 industries, including semiconductors, AI, and biopharmaceuticals, as critical for its future economic stability and will offer targeted financial support to strengthen these sectors.
In addition to the fund, South Korea also unveiled new policies to attract skilled global talent in cutting-edge fields. These measures include offering top-tier visas and permanent residency to professionals with experience at major international firms, aiming to enhance the country’s workforce in strategic industries.
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US District Judge Yvonne Gonzalez Rogers ruled that Musk did not meet the high standards required to block the move. However, the judge indicated that she would expedite a trial on the matter, which is expected to take place later this year.
Musk, who co-founded OpenAI in 2015 but left before its major success, argued that OpenAI had initially sought his charitable funding to create AI for the public good, but has since shifted its focus towards making profits.
His lawyer, Marc Toberoff, expressed satisfaction that the judge had agreed to a swift trial, claiming that the case involves urgent public interest concerns.
OpenAI, which is seeking to become a for-profit entity to attract the necessary capital for its AI projects, welcomed the court’s decision.
The company emphasised that its goal is to develop advanced AI models to benefit society. Musk’s legal action, which also includes antitrust claims, stems from his frustration with OpenAI’s shift in direction since he departed from the organisation.
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CoreWeave, backed by Nvidia, announced on Tuesday that it is acquiring AI developer platform Weights & Biases as part of its efforts to expand its cloud platform ahead of its upcoming IPO. The deal will merge CoreWeave’s infrastructure and managed cloud services with Weights & Biases’ AI model training and monitoring tools, which are used by major tech companies such as OpenAI and Meta.
While the financial terms of the deal were not disclosed, technology news site The Information reported that it could be valued at approximately $1.7 billion. CoreWeave, based in Roseland, New Jersey, has seen significant growth, with an eight-fold increase in revenue forecast for 2024.
CoreWeave, whose customers include companies like Meta, Microsoft, and hedge fund Jane Street, is aiming for a valuation exceeding $35 billion in its IPO later this year. The acquisition is seen as a move to strengthen CoreWeave’s position in the competitive AI market ahead of its New York listing.
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General Motors has appointed Barak Turovsky as its first chief AI officer, signalling a stronger focus on AI integration across its business.
Turovsky, a former AI leader at Cisco and Google, will report to Dave Richardson, GM’s senior vice president of software and services engineering. His team will work on expanding AI capabilities within GM’s vehicle lineup and broader operations.
GM has already implemented AI for tasks such as selecting locations for EV chargers, streamlining vehicle order processes, and optimising manufacturing.
Richardson stated that AI is central to the company’s strategy for electric, internal combustion, and autonomous vehicles, with Turovsky’s expertise expected to accelerate these efforts.
The hiring comes as GM continues to build its software-focused leadership team, having recently promoted former Apple executives to key positions. AI is set to play a crucial role in enhancing customer experience, improving operations, and driving innovation in the automaker’s future technologies.
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China is set to release new guidance aimed at promoting the use of open-source RISC-V chips nationwide, a move that signals the country’s growing efforts to reduce its reliance on Western technology. The policy, which could be unveiled as early as this month, is being developed by several government bodies, including the Cyberspace Administration of China and the Ministry of Industry and Information Technology. The final release date remains uncertain as discussions continue.
RISC-V, an open-source chip design technology, has gained popularity in China, particularly among state entities and research institutes, due to its lower cost and geopolitical neutrality. It is seen as a viable alternative to more established, proprietary chip architectures, such as those from Intel and AMD, and is gaining traction in various industries, including AI and mobile technology. This shift has raised concerns in the United States, where lawmakers are wary that China may be leveraging RISC-V’s open-source nature to boost its semiconductor sector.
The growing adoption of RISC-V has sparked a positive movement in the Chinese stock market, with shares of local chip design firms such as VeriSilicon and ASR Microelectronics experiencing significant gains. Industry leaders point out that RISC-V’s potential to reduce costs for smaller companies looking to implement AI, particularly with the rise of technologies like DeepSeek, could further drive its adoption.
As tensions between the US and China over technology intensify, the development of China’s semiconductor industry using RISC-V may become a critical aspect of its strategy to become less dependent on foreign chipmakers, while also advancing its own technological ambitions.
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SoftBank CEO Masayoshi Son is planning to borrow $16 billion to expand the company’s investments in AI, with a possible additional $8 billion loan in early 2026.
The financing plan was discussed with banks last week, according to sources cited by The Information.
The Japanese tech conglomerate has already committed $15 billion to the Stargate venture, a partnership with Oracle and OpenAI aimed at maintaining United States dominance in AI development.
Reports suggest SoftBank may invest up to $25 billion in OpenAI, further solidifying its position in the sector.
DeepSeek’s progress is a clear sign of the growing influence of Chinese companies in the AI sector, according to a spokesperson for China’s parliament. Lou Qinjian, speaking to reporters on Tuesday, praised the achievements of DeepSeek’s young team, describing their work as ‘commendable’.
He highlighted the company’s open-source approach and its efforts to spread AI technology globally, contributing ‘Chinese wisdom’ to the world.
The AI startup has been widely celebrated in China, particularly for rolling out AI models that offer a significantly lower cost than those developed by US rivals like OpenAI.
While some countries, including South Korea and Italy, have removed DeepSeek’s chatbot from their app stores over privacy concerns, it has been embraced within China, where local governments and tech firms are integrating it into their systems.
Based in Hangzhou, DeepSeek is rapidly advancing its next-generation model, set to succeed its R1 release from January, as it continues to make waves in the global tech sector.
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A group of researchers from Hao AI Lab at the University of California San Diego has suggested that Super Mario Bros. might actually be a tougher challenge for AI than Pokémon. In a recent experiment, AI models were tasked with playing the game, and while Anthropic’s Claude 3.7 performed the best, models like Google’s Gemini 1.5 Pro and OpenAI’s GPT-4o struggled. The game was not the original 1985 version but instead ran in an emulator integrated with GamingAgent, a framework that provided basic instructions and screenshots for the AI to control Mario.
The AI had to generate inputs, such as Python code, based on the given instructions to navigate Mario through the game’s challenges. The researchers found that while the game required models to plan complex manoeuvres and strategies, reasoning models like OpenAI’s o1 performed worse than non-reasoning models. This is because reasoning models typically take longer to decide on actions, and in a real-time game like Super Mario Bros., timing is critical.
While games have long been used to benchmark AI, some experts question the relevance of gaming skills as a measure of technological advancement. Andrej Karpathy, a research scientist at OpenAI, has expressed concerns over the current AI evaluation process, calling it an ‘evaluation crisis.’ Despite these concerns, watching AI take on Super Mario Bros. provides an interesting glimpse into how far AI has come, even if the benchmarks remain unclear.
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Amazon has announced plans to use AI to help reduce flood risks in Spain’s northeastern region of Aragon, where it is building new data centres.
As part of its $17.9 million investment, Amazon’s cloud computing unit AWS will modernise infrastructure and optimise agricultural water use to tackle flood concerns.
The move follows catastrophic floods that impacted large areas around Valencia and comes as AWS continues its €15.7 billion expansion in the region’s cloud infrastructure.
The region is prone to flooding, especially along the Ebro River, highest-flow river in Spain, which crosses through Aragon on its way to the Mediterranean.
Amazon will deploy advanced cloud computing technologies to create an early warning system combining real-time data collection, sensor networks, and AI-powered analysis.
However, this system will help Zaragoza, the capital of Aragon, monitor flood risks more effectively and provide timely warnings to emergency services.
In addition to its technological investment, local authorities in Zaragoza are building flood defences at the Barranco de la Muerte, or Death Ravine, to mitigate future flood damage.
With these combined efforts, Amazon aims to contribute to reducing the region’s vulnerability to floods while supporting its own expanding data infrastructure.
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Australia has banned Chinese AI startup DeepSeek from all government devices, citing security risks.
World leaders gathered in Paris for the second day of the Artificial Intelligence (AI) Action Summit, where the focus turned to balancing national interests with global cooperation.
DeepSeek, an up-and-coming AI startup from China, is rapidly pushing forward the release of its latest AI model, R2, following the remarkable success of its predecessor, R1.
Elon Musk’s AI startup, xAI, has unveiled its latest AI model, Grok-3, which the billionaire claims is the most advanced chatbot technology.
The New York Times has officially approved the use of AI tools for its editorial and product teams, allowing AI to assist with tasks such as generating social media copy, writing SEO headlines, and coding.
Microsoft has announced a groundbreaking quantum computing chip, Majorana 1, which it claims could make useful quantum computers a reality within years.
China has warned that the United States‘ efforts to pressure other nations into targeting its semiconductor industry will ultimately backfire.
Infrastructure
A state-of-the-art space lab on the outskirts of Cairo, touted as Africa’s first satellite production facility, has been built with substantial Chinese involvement.
Elon Musk’s Starlink network is facing increasing competition in the satellite internet market, particularly from SpaceSail, a Shanghai-based company backed by the Chinese government, and Amazon’s Project Kuiper.
Cybersecurity
The EU Commission introduced a proposal aimed at strengthening the EU’s response to large-scale cyber attacks.
Hackers have stolen $1.5 billion from Dubai-based cryptocurrency exchange Bybit in what is believed to be the largest digital heist in history.
Following the recent security breach at Bybit, major cryptocurrency firms have joined forces to combat the attack and mitigate its impact.
Digital rights
Elon Musk has reignited his rivalry with OpenAI by leading a consortium in a staggering $97.4 billion bid to acquire the nonprofit that governs the ChatGPT creator.
South Korea’s National Intelligence Service (NIS) has raised concerns about the Chinese AI app DeepSeek, accusing it of excessively collecting personal data and using it for training purposes.
TikTok has introduced a new method for US Android users to download the app directly from its website, bypassing restrictions imposed by app stores.
A US federal judge has denied a request to temporarily block Elon Musk’s Department of Government Efficiency (DOGE) from accessing data from seven federal agencies or making further workforce cuts.
Legal
An online education company has filed a lawsuit against Google, claiming its AI-generated search overviews are damaging digital publishing.
The Trump administration is reevaluating the conditions of CHIPS and Science Act subsidies, which allocate $39 billion to boost domestic semiconductor production.
Elon Musk-owned social media platform X has successfully removed a judge from a German court case concerning demands for real-time election data.
Trump Media & Technology Group and Rumble have filed an emergency motion in a US court against Brazilian Supreme Court Justice Alexandre de Moraes.
Internet economy
Chinese investors are flocking to AI-related stocks, betting that the success of home-grown startup DeepSeek will propel China to the forefront of the AI race amid the escalating Sino-US technology conflict.
In a meeting at the White House on Friday, US President Donald Trump and Nvidia CEO Jensen Huang discussed the emerging challenges posed by China’s AI advancements, particularly the rapid rise of DeepSeek that has disrupted the global tech industry.
Macron announced private sector investments totalling around 109 billion euros ($112.5 billion) in its AI sector at the Paris AI summit, according to President Emmanuel Macron.
Elon Musk, who is leading Donald Trump’s federal cost-cutting initiative, has announced that efforts are underway to shut down the United States Agency for International Development (USAID).
President Donald Trump confirmed on Wednesday that he was in active discussions with China over the future of TikTok, as the US seeks to broker a sale of the popular app.
Elon Musk’s social media company X is currently discussing raising funds from investors at a $44 billion valuation.
Development
Alibaba has announced plans to invest at least 380 billion yuan ($52.44 billion) in cloud computing and AI infrastructure over the next three years.
US drugmaker Amgen has announced a $200 million investment in a new technology centre in southern India, which will focus on using AI and data science to support the development of new medicines.
Sociocultural
A German court has ruled that Elon Musk’s social media platform X must provide researchers with data to track the spread of misinformation ahead of the country’s national election on 23 February.
French prosecutors have launched an investigation into X, formerly known as Twitter, over alleged algorithmic bias.
Meta has launched a new initiative with UNESCO to enhance AI language recognition and translation, focusing on underserved languages.
A Russian court has fined Google 3.8 million roubles (£32,600) for hosting YouTube videos that allegedly instructed Russian soldiers on how to surrender.
Mexico has strongly opposed Google’s decision to rename the Gulf of Mexico as the ‘Gulf of America’ for US Google Maps users.
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Data Protection Day 2025: A new mandate for data protection
Data Protection Day 2025 brought experts to Brussels and online to discuss the latest privacy challenges. The event featured key speeches, panels, and discussions on data protection enforcement, international cooperation, and the impact of emerging technologies.
In his keynote, Leonardo Cervera Navas warned about algorithms being used to destabilise the EU democracies and the power imbalance caused by tech monopolies. Despite these challenges, he emphasised that European values and regulatory tools like the Digital Clearing House 2.0 could help uphold privacy.
A panel moderated by Kait Bolongaro examined data protection priorities and enforcement challenges. European Data Protection Supervisor Wojciech Wiewiorowski stressed the role of strong data protection authorities (DPAs) in ensuring GDPR compliance. Matthias Kloth highlighted the modernisation of Convention 108+ as a key legal advancement. The discussion also covered international cooperation, with panellists agreeing that while global collaboration is necessary, privacy standards must not be diluted.
Audience questions raised concerns about the complexity and cost of enforcing privacy rights. Wiewiorowski saw no major GDPR overhaul in the near future but suggested procedural adjustments. Jo Pierson proposed that civil society organisations assist individuals facing legal barriers. The discussion also touched on China’s DeepSeek AI, with panellists refraining from labelling it a threat but stressing the need for Europe to control AI training datasets. Wiewiorowski likened the AI race to the Cold War’s ‘Sputnik moment,’ questioning if Europe was falling behind.
A session on future data protection challenges, led by Anna Buchta, highlighted regulatory complexity. Marina Kaljurand noted a significant digital knowledge gap among European lawmakers, complicating policy decisions. She also raised concerns about the UK’s adequacy decision, which expires in June 2025, and worsening US-EU relations under Trump. UK Information Commissioner John Edwards emphasised AI’s disruptive impact on biometrics and tracking, while Alberto Di Felice from DIGITALEUROPE criticised excessive bureaucracy, advocating for streamlined regulatory oversight.
Beatriz de Anchorena, head of Argentina’s data protection authority, championed Convention 108+ as a global privacy standard. Argentina, the first non-European country to receive EU adequacy, has remained a leader in data protection reform.
A discussion on neuroscience and privacy, moderated by Ella Mein, explored ethical concerns surrounding brain data. Professor Marcello Ienca warned of potential ‘neuro-discrimination’ and the dangers of exploiting brain data. ECtHR Jurisconsult Anna Austin highlighted legal challenges, noting the high standards required for data waivers.
The final panel, led by Gabriela Zanfir-Fortuna, addressed the need for stronger enforcement. Johnny Ryan of the Irish Council for Civil Liberties criticised the EU’s slow response to data misuse, while Nora Ni Loideain emphasised the GDPR’s role in giving DPAs greater enforcement power.
The event underscored the need for robust regulation, global cooperation, and better enforcement mechanisms to protect privacy in a rapidly evolving digital landscape.
Legacy media vs social media and alternative media channels
The rapid spread of digital information has transformed communication, offering opportunities and challenges. While social media and alternative platforms have democratised access to information, they have also enabled misinformation, deepfakes, and sensationalism to flourish. The tension between traditional media and these new forms of communication is at the heart of current debates on content policy and media integrity.
The case of Novak Djokovic at the 2025 Australian Open highlights this shift. After a Channel 9 journalist made derogatory remarks about him and his Serbian supporters, Djokovic refused an on-court interview and took to social media to share his perspective. His video went viral, attracting support from figures like Elon Musk, who criticised traditional media as a ‘negativity filter,’ This incident underscored the ability of social media to bypass mainstream media narratives, raising questions about journalistic objectivity, editorial oversight, and the role of direct communication in shaping public discourse.
Elon Musk’s experience with the media further highlights these dynamics. After traditional media misrepresented a gesture he made at a public event, Musk turned to X (formerly Twitter) to counter the narrative. His criticism of ‘legacy media’ as biassed and slow to adapt resonated with many, reinforcing the growing preference for direct, unfiltered communication. However, this shift presents risks, as social media and alternative platforms lack the editorial oversight that traditional outlets provide, allowing misinformation to spread more easily.
The rise of podcasts, independent media, and social networks has disrupted traditional journalism, offering new ways to engage audiences. While these platforms provide greater freedom of expression, they raise concerns about accuracy, misinformation, and accountability. The challenge remains in balancing openness with factual integrity, ensuring that media—whether traditional or alternative—serves the public responsibly in an era where the boundaries between truth and fabrication continue to blur.
