OpenAI CEO Sam Altman has called Chinese startup DeepSeek’s R1 model “impressive,” highlighting its ability to deliver advanced AI performance at a fraction of the cost. According to DeepSeek, its R1 model is 20 to 50 times cheaper to use than OpenAI’s own models, offering significant affordability without sacrificing quality.
Chinese AI, DeepSeek gained global recognition last month when it revealed that training its DeepSeek-V3 model required less than $6 million in computing resources, leveraging lower-cost Nvidia H800 chips. In contrast, Altman noted that OpenAI remains committed to prioritising increased computing power, suggesting this as an important factor in achieving AI progress.
The emergence of DeepSeek has disrupted the AI industry, leading to a significant sell-off in tech stocks, including Nvidia, which recorded a historic single-day loss of $593 billion in market value. Analysts say DeepSeek’s cost-efficient approach raises doubts about the necessity of the massive financial investments made by US tech firms in AI development.
As DeepSeek continues to attract attention, the startup’s success underscores a shift in the AI market, with low-cost models challenging traditional notions of progress in AI.
Chinese AI startup DeepSeek has announced that its Janus-Pro-7B model has surpassed competitors, including OpenAI’s DALL-E 3 and Stability AI’s Stable Diffusion, in benchmark rankings for text-to-image generation. This achievement solidifies DeepSeek’s reputation as a key player in the rapidly evolving AI market.
According to a technical report, the Janus-Pro model builds upon its predecessor by incorporating enhanced training processes, higher-quality data, and advanced scaling, resulting in improved stability and more detailed image outputs. The company credited the inclusion of 72 million high-quality synthetic images, combined with real-world data, for the model’s superior performance.
This success follows the launch of DeepSeek’s new AI assistant based on the DeepSeek-V3 model, which has become the top-rated free app in the US Apple App Store. The news sent shockwaves through the tech industry, leading to declines in shares of companies like Nvidia and Oracle, as investors reassessed the competitive dynamics in AI development.
OpenAI and Stability AI have yet to comment on the claims. DeepSeek’s achievements highlight the growing influence of Chinese firms in cutting-edge AI innovation, setting the stage for heightened competition in the global tech market.
Microsoft-backed OpenAI is seeking to prevent some of India’s largest media organisations, including those linked to Gautam Adani and Mukesh Ambani, from joining a copyright lawsuit. The case, initiated by news agency ANI last year, involves claims that AI systems like ChatGPT use copyrighted material without permission, sparking a wider debate over AI and intellectual property in the country. India ranks as OpenAI’s second-largest market by user numbers, following the US.
OpenAI has argued its AI services rely only on publicly available data and adhere to fair use principles. During Tuesday’s hearing, OpenAI’s lawyer opposed bids by additional media organisations to join the case, stating he would submit formal objections in writing. The company has also challenged the court’s jurisdiction, asserting that its servers are located outside India. The case is scheduled to continue in February.
The Federation of Indian Publishers has accused ChatGPT of harming their business by summarising books from unlicensed online sources. OpenAI denies these claims, maintaining its tools do not infringe copyright. Prominent digital media groups, including the Indian Express and Hindustan Times, allege ChatGPT scrapes and reproduces their content, prompting their involvement in the lawsuit.
Tensions escalated over media coverage of the case, with OpenAI objecting to reports based on non-public court filings. Lawyers representing media groups called such claims unfounded. The lawsuit is poised to shape the future of AI and copyright law in India, as courts worldwide grapple with similar challenges.
The launch of DeepSeek’s cost-efficient AI model has sent shockwaves through Australian tech markets, with shares in AI-related companies experiencing steep declines. Investors are increasingly worried that the Chinese startup’s affordable technology could undermine the dominance of established players in the sector.
Among the biggest losers were AI software firm Appen, which saw its stock drop by 3.3%, and chipmaker Brainchip, which lost 10.3%. The technology sub-index fell by 1%, with major data centre operators also taking a hit. Analysts expressed concerns that DeepSeek’s success might reduce demand for AI infrastructure, which had driven heavy investments in Australian data centres.
DeepSeek’s AI assistant, launched last week, has already outpaced US competitor ChatGPT in downloads on Apple’s App Store. This rapid rise has sent ripples through the global tech sector, contributing to Nvidia’s record $592.7 billion market loss.
As Australian investors reassess their exposure to AI stocks, market strategists predict a shift towards safer sectors such as healthcare and consumer staples, after DeepSeek’s disruptive impact.
The Italian Data Protection Authority (IDPA) has commenced an investigation into DeepSeek, an AI firm, raising concerns about privacy and the handling of personal data. This initiative follows the IDPA’s pattern of scrutinising major AI platforms, as observed in past evaluations of ChatGPT.
The Authority has requested detailed information from Hangzhou DeepSeek Artificial Intelligence and Beijing DeepSeek Artificial Intelligence, the entities responsible for the DeepSeek chatbot service, in both its online and app-based forms. The central concern stems from the potential high risk to the personal data of millions of Italians, prompting the IDPA to question DeepSeek’s data collection sources, purposes, legal grounds, and storage locations, particularly focusing on any servers in China.
Further, the IDPA inquiry delves into the data utilised to train DeepSeek’s AI system. It seeks specific clarifications on the processing of personal data, especially if obtained through web scraping, aiming to assess how registered and non-registered users are informed about their data usage. This aspect underscores the priority of transparency and the necessity for obtaining informed consent. The investigation’s urgency is highlighted by the 20-day deadline given to DeepSeek to furnish the requisite information, characterising the IDPA’s approach as swift and firm given potential privacy risks within the EU.
This action by the IDPA coincides with ‘Data Protection Day’, emphasising the agency’s commitment to privacy issues and enhancing international awareness regarding data protection. It reflects a broader regulatory trend of increased scrutiny over AI technologies, ensuring stringent data protection standards are upheld. As AI advances, ensuring public trust and safeguarding personal information are deemed critical, and such regulatory measures are likely to become more prevalent.
Microsoft and OpenAI are investigating whether a group linked to Chinese AI startup DeepSeek accessed OpenAI data without authorisation. Bloomberg News reported that Microsoft’s security team detected large-scale data transfers last autumn using OpenAI’s application programming interface (API).
Microsoft, OpenAI’s largest investor, flagged the suspicious activity to the AI firm. DeepSeek, a low-cost Chinese AI startup, gained attention after its AI assistant surpassed OpenAI’s ChatGPT on Apple’s App Store in the US, causing a selloff in tech stocks.
White House AI and crypto adviser David Sacks suggested DeepSeek may have stolen US intellectual property by extracting knowledge from OpenAI’s models. An OpenAI spokesperson acknowledged that foreign firms frequently attempt to replicate its technology and stressed the importance of government collaboration to protect advanced AI models.
Microsoft declined to comment on the matter, while DeepSeek was unavailable for a response. OpenAI stated it actively counters unauthorised attempts to replicate its technology but did not specifically name DeepSeek.
The Chinese AI app DeepSeek was removed from Apple and Google app stores in Italy on Wednesday, following a request by the country’s data protection authority for information on its handling of personal data. Italy’s Garante regulator gave DeepSeek 20 days to clarify what data it collects, its sources, purposes, and whether it is stored in China. Concerns over safeguarding underage users, potential bias, and risks of electoral interference were also highlighted by Garante chief Pasquale Stanzione.
The app, which recently surpassed ChatGPT in downloads from Apple’s App Store, remains functional for Italian users who had already installed it. It is also still available in other European Union countries and the UK. Ireland‘s Data Protection Commission has also sought details about DeepSeek’s data processing practices for Irish users, while Germany‘s government has voiced concerns about potential AI-driven election interference ahead of its February vote.
Italy’s Garante is known for its proactive stance on AI regulations, having temporarily banned ChatGPT in 2023 over alleged breaches of EU privacy laws. DeepSeek, which touts itself as a cost-efficient alternative to U.S. AI services, has faced mounting scrutiny as it gains popularity. Meanwhile, Irish regulators noted that DeepSeek has not designated Ireland as its EU headquarters, complicating oversight under EU data protection rules.
Spanish oil company Repsol plans to invest 4 billion euros ($4.2 billion) in building data centres near Zaragoza, according to a report by Expansion newspaper. The planned investment marks Repsol’s significant move into the tech sector, aiming to capitalise on the growing demand for cloud computing infrastructure.
Zaragoza is becoming a key hub for cloud services, with major tech companies like Amazon and Microsoft already making large investments in the region. Repsol’s project will contribute to the area’s growing reputation as a leading destination for data centre development.
The company has not yet commented on the report, and details on the project’s timeline remain unclear. This move signals a shift for Repsol as it expands beyond its core oil business into digital services.
Brazil’s data protection authority, ANPD, has ordered Tools for Humanity (TFH), the company behind the World ID project, to cease offering crypto or financial compensation for biometric data collection. The move comes after an investigation launched in November 2023, with the ANPD citing concerns over the potential influence of financial incentives on individuals’ consent to share sensitive biometric data, such as iris scans.
The World ID project, which aims to create a universal digital identity, uses eye-scanning technology developed by TFH. The ANPD’s decision also reflects its concerns over the irreversible nature of biometric data collection and the inability to delete this information once submitted. Under Brazilian law, consent for processing such sensitive data must be freely given and informed, without undue influence.
This is not the first regulatory issue for World ID, as Germany’s data protection authority also issued corrective measures in December 2023, requiring the project to comply with the EU’s General Data Protection Regulations. Meanwhile, the value of World Network’s native token, WLF, has dropped significantly, falling by over 8% in the past 24 hours and 83% from its peak in March 2023.
The CEO of Japanese IT giant NTT DATA has called for global standards in AI regulation to mitigate the risks posed by the rapidly advancing technology. Speaking at the World Economic Forum in Davos, Switzerland, Abhijit Dubey emphasised that inconsistent regulations could lead to significant challenges. He argued that standardised global rules are essential for addressing issues like intellectual property protection, energy efficiency, and combating deepfakes.
Dubey pointed out that the key to unlocking AI’s potential lies not in the technology itself, which he believes will continue to improve rapidly, but in ensuring businesses are prepared to adopt it. A company’s ability to leverage AI, he said, depends on the readiness of its workforce and the robustness of its data architecture.
He stressed that companies must align their AI strategies with their broader business objectives to maximise productivity gains. ‘The biggest issue isn’t the technology it’s whether organisations are set up to implement it effectively,’ Dubey noted.
The discussion at Davos highlighted the urgent need for collaboration among governments, businesses, and industry leaders to create cohesive AI regulations that balance innovation with risk management.
