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Will DeepSeek rise strenghten open-source AI in the United States?

DeepSeek, a Chinese AI company, is rapidly transforming the global artificial intelligence landscape. The models’ standout feature is their open-source nature, which allows developers worldwide to access, modify, and build upon them. This contrasts with the closed-source strategies of most American tech firms, barring Meta, fostering an environment of transparency and innovation that challenges traditional industry norms.

This shift marks a significant realignment in technological power dynamics as DeepSeek elevates China alongside open-source models to compete with the traditionally dominant American, closed-source approaches. Such advancements have impacted stock markets, causing US tech stocks to drop and signalling a shift in competitive balance between the United States and China, as well as open- versus closed-source models.

DeepSeek’s methodologies question traditional AI training practices, expediting the race towards more efficient, lower-cost processes without sacrificing performance. They have advanced public understanding of model training through self-reflection and reasoning, democratising AI developments previously shielded by companies like OpenAI.

DeepSeek’s approach highlights the potential for cost-effectiveness in AI training, reducing reliance on extensive pretraining by utilizing reinforcement learning on open models, such as Meta’s Llama 3. This facilitates access for less-resourced research labs, enabling wider contributions to AI advancements.

The ongoing competitive landscape suggests a balance could be struck between open- and closed-source offerings, placing increasing pressure on American tech firms to reconsider their strategies. In response, the US government has initiated the Stargate Project, pledging $500 billion over the next four years to fortify AI infrastructure, underscoring the need to maintain America’s competitive edge.

In conclusion, DeepSeek’s rise endorses a trend towards open-source AI, challenging the entrenched power structures within the tech industry. By demonstrating efficient methodologies and promoting a collaborative developmental environment, DeepSeek not only illuminates open-source models’ potential to spearhead innovation but also highlights the shifting global landscape of AI research. As this competition unfolds, the dominance of traditional American firms may be reassessed, with open-source models presenting a promising and strategic path for the future of global AI ecosystems.

Australian shares hit by DeepSeek’s rise in AI

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.

Nvidia sees record retail investment amid stock plunge

Retail investors made a record purchase of Nvidia shares on Monday, buying a net $562.2 million worth of stock, following a sharp 17% drop in its market value. The decline came after concerns arose over a low-cost AI model from Chinese startup DeepSeek, which contributed to Nvidia losing $593 billion in market value. According to Vanda Research, this marked the largest retail investment in Nvidia since data tracking began in 2014.

Nvidia has seen steady retail investment over the past few years, with approximately $7.3 billion in shares purchased last quarter. However, this was nearly half the amount recorded in the peak quarter of September 2024.

While global tech stocks showed some recovery on Tuesday, the sector remains under pressure as investors grapple with concerns over the high valuations and dominance of AI leaders like Nvidia, amid rising competition from new players like DeepSeek.

SAP sees stronger demand for AI services

SAP anticipates growing demand for its AI services as energy-efficient models become more accessible. The company’s CEO, Christian Klein, stated that advancements like China’s DeepSeek model signal a shift toward scalable AI infrastructure, which is crucial for running general AI systems effectively.

Klein emphasised the increasing competition in the AI landscape, suggesting that the market will feature multiple large language models rather than dominance by a single player. He noted these developments as positive for SAP’s position in the industry.

Despite recent volatility in technology stocks triggered by concerns over the profitability of AI investments, SAP remains optimistic. The potential of cheaper and more efficient AI systems could reinvigorate confidence in the sector, benefiting companies with robust AI offerings.

White House examines security concerns over China’s DeepSeek AI

US officials are evaluating the potential national security risks posed by the Chinese AI app DeepSeek. White House press secretary Karoline Leavitt confirmed the National Security Council is leading the review, highlighting concerns about American AI dominance. White House AI and crypto adviser David Sacks suggested intellectual property theft might have played a role in DeepSeek’s development.

Global technology stocks faced a sell-off over fears that DeepSeek’s low-cost AI model could challenge major US firms like OpenAI and Google. Sacks explained that DeepSeek may have used a technique called distillation, allowing one AI model to learn from another. He warned that American AI companies would likely implement measures to block such practices.

Donald Trump argued that DeepSeek’s rise should push US firms to intensify their AI efforts. While acknowledging China’s progress, he maintained that American companies remain leaders in innovation. He suggested that more affordable AI solutions could benefit the industry without sacrificing technological advances.

Washington continues to restrict AI chip exports to China, aiming to slow its technological advancements. The Commerce Department, under Trump’s nominee Howard Lutnick, is set to play a key role in enforcing these limitations.

DeepSeek-linked group suspected in OpenAI data probe

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.

Italy suspends DeepSeek AI app amid data protection concerns

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.

DeepSeek challenges US AI dominance with low-cost innovation

Chinese AI startup DeepSeek has shaken the global AI industry with its low-cost, high-performance models, sparking mixed reactions among leading US developers. Its flagship AI assistant recently surpassed OpenAI’s ChatGPT as the most downloaded app on Apple’s US App Store. DeepSeek achieved this using Nvidia’s H800 chips, training its model for under $6 million—an astonishing contrast to the billions spent annually by US tech giants.

While some American AI experts acknowledged DeepSeek’s achievements, many remain unconvinced. OpenAI’s CEO, Sam Altman, praised the R1 model for its cost-effectiveness, but analysts noted that the $6 million figure only reflects the final training phase, with total development costs likely exceeding $1 billion. Nvidia viewed DeepSeek’s success as evidence of growing demand for its AI chips, despite US export controls aimed at slowing China’s progress.

US-based firms like Snowflake have already added DeepSeek models to their AI offerings, citing overwhelming customer interest. However, concerns about China‘s involvement in AI technology persist. DeepSeek’s decision to release its models as open source has drawn applause from industry leaders, highlighting a shift toward more accessible AI development.

With China’s advancements narrowing the gap in AI innovation, competition between US and Chinese firms intensifies. DeepSeek’s rapid rise is forcing industry players to rethink their strategies, while questions about scalability and long-term sustainability remain unanswered.

AI study rooms redefine education in China

AI-powered study rooms are revolutionising online education in China by offering personalised, tech-driven learning experiences. These spaces cater to students aged 8 to 18, using advanced software to provide interactive lessons and real-time feedback. The AI systems analyse mistakes, adjust course materials, and generate detailed progress reports for parents, who can track their child’s improvement remotely. By leveraging technology, these study rooms aim to make education more engaging and tailored to individual learning needs.

These AI rooms are marketed as self-study spaces rather than traditional tutoring centres, allowing them to navigate China’s strict private tutoring regulations by framing their services as facility rentals or membership plans. This creative positioning allows them to operate within a regulatory grey area, avoiding restrictions on off-campus tutoring for students in grades one through nine. Membership fees range from 1,000 to 3,000 yuan monthly, making them a more affordable long-term alternative to expensive one-on-one tutoring sessions.

Despite their growing popularity, education experts remain sceptical of their educational value. Critics argue that many of these systems lack proper AI functionality, relying instead on preloaded prompts and automated responses. Furthermore, there are concerns that their heavy emphasis on drilling questions to improve test scores may neglect critical thinking and deeper comprehension. However, proponents believe these AI-powered study rooms represent an essential step toward integrating technology into education and expanding access to personalised learning.

OpenAI faces legal action from Indian news companies

Several prominent Indian media outlets, including those owned by billionaires Gautam Adani and Mukesh Ambani, are taking legal action against OpenAI. These outlets, such as NDTV and Network18, along with organisations like the Indian Express and Hindustan Times, have filed to join an ongoing lawsuit against OpenAI in a New Delhi court. They allege that OpenAI has been improperly scraping their copyrighted content to train its AI model, ChatGPT, without permission or payment.

The legal claim, which is being led by the Digital News Publishers Association (DNPA), argues that OpenAI’s practices pose a significant threat to the copyrights of its members. The publishers claim that OpenAI’s actions amount to ‘wilful scraping’ and the use of their work for commercial gain, especially as the company generates revenue through ads linked to AI-generated content. This lawsuit highlights broader concerns in the media industry about the influence of large tech companies on content distribution and monetisation.

The legal proceedings are part of a larger global trend, with authors, musicians, and news organisations worldwide suing AI firms for using their works without compensation. In the US, the New York Times has filed a similar lawsuit against OpenAI and its major backer, Microsoft. This new case in India adds significant pressure to OpenAI, which has denied the allegations, arguing that its AI systems rely on publicly available data and that deleting such data could violate US law.

The Indian plaintiffs argue that OpenAI’s failure to strike content-sharing deals with local publishers, while it has done so with international media outlets, undermines the business of Indian news companies. The publishers warn that OpenAI’s practices could weaken the media landscape and negatively impact democracy, calling for greater protection of intellectual property in the age of AI.