Tag: DeepSeek

Security Stop-Press: Australia Bans DeepSeek From Government Devices

Posted on by Paul Stradling

Australia has banned DeepSeek from all government devices, citing national security concerns.

The directive mandates the removal of all DeepSeek products from government systems. Home Affairs Minister Tony Burke called it an “unacceptable risk.”

DeepSeek, a Chinese AI start-up, recently launched a chatbot rivalling Western models at a lower cost, but scrutiny over its data handling practices has grown. The platform stores user data on Chinese servers, raising concerns about potential government access. Italy and Taiwan have also restricted its use, while the US and several European nations are investigating its security implications.

The ban follows similar actions against Chinese tech firms, including Huawei and TikTok, reflecting wider geopolitical tensions. DeepSeek’s launch has also disrupted global AI investments, leading to a decline in AI-related stocks, including Australian chipmaker BrainChip.

For businesses, the move highlights the need for strict AI security policies. Organisations should vet AI applications, ensure compliance with data regulations, and restrict sensitive data interactions to mitigate risks.

Featured Article : Is DeepSeek Safe?

Posted on by Paul Stradling

Following the surprise introduction of Chinese AI chatbot DeepSeek, here we look at what makes it different, and why concerns are growing over its safety and privacy implications.

What is DeepSeek?

DeepSeek is a Chinese-developed AI chatbot that functions much like OpenAI’s ChatGPT or Google’s Gemini. The app exploded in popularity following its release in January 2025. It has reportedly already surpassed three million downloads, becoming the most-downloaded free app on Apple’s App Store in the US. Compared to competitors such as Perplexity, it has been downloaded at three times the rate.

Like ChatGPT, DeepSeek provides AI-generated responses to user queries but has been praised for its ability to perform complex reasoning tasks at a fraction of the cost of rival models. DeepSeek’s developers claim it was built with significantly fewer resources than models like GPT-4, making it an attractive and cost-effective alternative.

One of DeepSeek’s standout claims is its low development cost. While OpenAI’s GPT-4 reportedly cost over $100 million to train, DeepSeek’s AI model was (purportedly), built for just $6 million, i.e. a fraction of the budget! This efficiency has raised eyebrows in Silicon Valley and cast doubt on the assumption that only the most advanced AI chips can power state-of-the-art models. These relatively low development cost have raised doubts (as to their authenticity), as well as concerns for US companies.

Big Losses For Nvidia

DeepSeek’s rapid rise has sent shockwaves through the tech sector. For example, US chip giant Nvidia suffered a staggering $600bn (£482bn) loss in market value after investors questioned the future profitability of high-end AI chips. The shockwave spread to other major players, with Microsoft and Alphabet (Google’s parent company) also seeing significant stock downturns.

The shock of DeepSeek’s introduction and effect on the markets caused US President Donald Trump to call DeepSeek a “wake-up call” for American tech firms, stressing that they must compete harder. OpenAI CEO Sam Altman admitted DeepSeek was “impressive” but insisted OpenAI would continue to build superior models.

However, while DeepSeek’s capabilities have impressed many, its arrival has also triggered serious privacy and security concerns.

What Are the Privacy Concerns?

One of the biggest red flags surrounding DeepSeek is its data privacy policy. Unlike many Western AI platforms, which have moved to storing user data in local data centres, DeepSeek openly states that all user data is stored on servers in China. This includes:

– Personal information such as email addresses, phone numbers, and dates of birth.

– Chat histories, including all questions and responses.

– Technical data such as IP addresses, device information, and even keystroke patterns.

DeepSeek claims this data collection helps improve its services, but critics warn that it also grants the Chinese government (i.e. the Chinese Communist Party) potential access to vast amounts of sensitive user information. Under China’s cybersecurity laws, companies are required to cooperate with state intelligence efforts, meaning that the government could theoretically demand access to DeepSeek’s data at any time.

Warnings From Australia And The UK

Australia’s science minister, Ed Husic, has already warned users to be “very careful” when using the app, highlighting unanswered questions about data privacy. Also, the UK’s Information Commissioner’s Office has reminded users of their rights regarding data protection, urging AI developers to ensure transparency in how personal data is used.

US Navy Personnel Banned From Using It

Meanwhile, the US Navy has taken the drastic step of banning its personnel from using DeepSeek entirely, citing security concerns. White House press secretary Karoline Leavitt confirmed that US officials are actively investigating the national security implications of the app.

Security Breaches and Leaks

Privacy concerns escalated further when cybersecurity researchers at Wiz reported discovering that DeepSeek had an unprotected internal database leaking user chat histories, API keys, and other sensitive data to the open internet. More than a million unencrypted logs were exposed due to what appeared to be a simple misconfiguration. While DeepSeek moved quickly to secure the database, it remains unclear whether any unauthorised parties accessed the data before the breach was fixed.

Experts warn that this kind of security lapse suggests a worrying lack of basic cybersecurity hygiene. A spokesperson for Wiz has been reported as saying: “Misconfigured databases are often due to human error rather than malicious intent,” and “When dealing with user data at this scale, mistakes like this are simply unacceptable.”

Censorship and Propaganda Concerns

Another major issue with DeepSeek appears to be its approach to content moderation. For example, users have reported that the chatbot censors politically sensitive topics, particularly those related to the Chinese government. One widely reported example is that when asked about the 1989 Tiananmen Square massacre, DeepSeek simply refused to provide an answer, stating: “I am sorry, I cannot answer that question.”

Some critics have also argued that this suggests DeepSeek is designed not just as a neutral AI assistant but as a tool that aligns with Chinese government policies. For example, John Scott-Railton, a senior researcher at the University of Toronto’s Citizen Lab, has warned that AI models like DeepSeek could be used to subtly influence public opinion, saying: “When you interact with an AI like this, you’re not just getting neutral information—you’re getting content that is shaped by the policies and priorities of the company behind it.”

How Does It Really Compare to Other AI Models?

DeepSeek’s privacy policy is not entirely unique, i.e. many AI platforms collect extensive user data. ChatGPT, for example, retains user inputs to improve its models, and Google’s Gemini collects detailed device and usage data.

However, the key difference lies in where the data is stored and who has access to it. Unlike DeepSeek, OpenAI and Google operate under strict US and EU regulations that limit how personal data can be shared or used. DeepSeek’s data policies, on the other hand, appear to leave the door open for potential state surveillance.

For users, this means that while DeepSeek may offer an innovative and cost-effective AI experience, it may also come with significant risks that are hard to overlook.

What Does This Mean For Your Business?

The rise of DeepSeek showed (much to the shock of the US) that powerful models are no longer exclusive to Silicon Valley’s tech giants. However, while its impressive capabilities and cost efficiency make it an attractive option, concerns surrounding its privacy policies, security vulnerabilities, and potential government oversight have raised some serious questions for businesses considering its adoption.

For companies looking to integrate AI into their operations, DeepSeek’s ability to perform complex reasoning tasks at a fraction of the cost of rival models may seem like a compelling advantage. However, its data storage practices appear to stand in stark contrast to those of Western AI providers. Unlike ChatGPT or Google’s Gemini, which operate under strict US and EU data protection regulations, DeepSeek openly stores user data on servers in China. Given China’s cybersecurity laws, which require companies to cooperate with state intelligence efforts, businesses using DeepSeek should acknowledge the very real possibility that sensitive information could be accessed or monitored by the Chinese government.

This, of course, raises critical concerns for organisations handling confidential or highly regulated information. For example, companies operating in finance, healthcare, legal services, and government sectors may want to be particularly cautious, as the use of DeepSeek could lead to unintended breaches of data protection laws such as the UK’s Data Protection Act or the EU’s GDPR. The potential for regulatory scrutiny, legal repercussions, or even outright bans on the software in certain jurisdictions can’t be ignored. The fact that the US Navy has already prohibited its personnel from using DeepSeek, citing national security risks, suggests that further restrictions may follow, particularly in industries dealing with sensitive data or intellectual property.

Beyond privacy and compliance issues, the recent security breach that left user chat histories and API keys exposed raises further doubts about the reliability of DeepSeek’s cybersecurity practices. While the developers moved quickly to secure the database, the fact that such an oversight occurred at all suggests a worrying lack of basic security protocols. For businesses, this highlights the potential risk of data leaks, unauthorised access, and cyber espionage, i.e. concerns that no organisation can afford to take lightly.

Another challenge lies in DeepSeek’s approach to content moderation and information control. Reports of the chatbot refusing to answer politically sensitive questions, particularly those related to the Chinese government, indicate that it is not merely a neutral AI assistant but one that aligns with the policies of the state that developed it. This raises important questions about bias, censorship, and the reliability of information provided by the platform. Businesses relying on AI for research, market analysis, or customer engagement must be aware that the responses they receive may not always be objective or complete.

Given these concerns, organisations considering the use of DeepSeek should carefully evaluate whether the potential benefits outweigh the risks.

While the app’s cost efficiency and performance may seem appealing, any business dealing with sensitive data, regulatory requirements, or intellectual property should approach it with extreme caution. Those who do choose to explore its capabilities should ensure that no confidential or personally identifiable information is entered into the system and should implement strict internal controls to mitigate the risk of exposure.

Ultimately, DeepSeek represents both the promise and the peril of modern AI. Its rapid ascent proves that cutting-edge technology can emerge from beyond the traditional powerhouses of the tech industry, but its controversial data policies and security concerns serve as a stark reminder that not all AI models are created equal.

Featured Article : DeepSeek? Here’s The $500 Billion Stargate

Posted on by Paul Stradling

At a time when China’s “DeepSeek” chatbot has jolted the AI industry (having developed incredibly quickly and on a shoestring budget), we take a look at the US “Stargate Project,” a $500 billion initiative aimed at cementing the United States’ leadership in artificial intelligence (AI) by constructing cutting-edge infrastructure.

Heated Debate

Announced by President Donald Trump and backed by industry titans such as SoftBank, OpenAI, Oracle, and MGX, the Stargate Project has garnered significant attention. With promises of transformative economic benefits alongside concerns over its financial feasibility, energy demands, and political undertones, it is rapidly becoming one of the most talked-about developments in the AI landscape.

However, the project has also ignited a heated debate (laptop bags at dawn) among the biggest names in tech, including Elon Musk, Sam Altman, Satya Nadella, and Marc Benioff.

What Is the Stargate Project?

At its core, the Stargate Project is an ambitious plan to build state-of-the-art AI infrastructure across the United States. The initiative will see an initial investment of $100 billion, ramping up to $500 billion over four years. The funds will be used to construct massive data centres, with the first one-million-square-foot facility already underway in Texas. According to OpenAI, the project aims to secure American dominance in AI, create hundreds of thousands of jobs, and drive global economic growth.

The venture is spearheaded by SoftBank and OpenAI, with SoftBank’s Masayoshi Son serving as chairman. While SoftBank will handle financial responsibilities, OpenAI will oversee operations. Key technology partners include Microsoft, Nvidia, Arm, and Oracle, marking a collaborative effort among some of the most influential companies in the tech industry.

President Trump, speaking at the White House, declared the Stargate Project as the “largest AI infrastructure project in history.” Emphasising its strategic importance, he stated, “We want to keep it in this country. China’s a competitor and others are competitors – we want it to be in this country, and we’re making it available.”

The Numbers Behind the Vision

The scale of the Stargate Project does appear to be pretty staggering. For example, each data centre will require an estimated 6GW of power, with annual operating costs predicted to reach $4 billion per site! In total, the energy consumption of these centres could significantly strain regional power grids, with projections suggesting that data centres could account for a massive 12 per cent of U.S. energy use by 2028, up from 4.4 per cent today.

Research by the Lawrence Berkeley National Laboratory predicts power demands for data centres will rise to between 325TWh and 580TWh over the next four years. This has raised concerns among environmental groups and energy experts, who worry about the sustainability of such rapid expansion.

Criticised By Musk

Despite the grand vision, the Stargate Project has faced scepticism regarding its financial feasibility. Elon Musk, a frequent critic of OpenAI and its CEO Sam Altman (perhaps a big clue to the reason for his criticism), has cast doubt on the project’s funding. “They don’t actually have the money,” Musk recently claimed on X (formerly Twitter). “SoftBank has well under $10 billion secured. I have that on good authority.”

Sam Altman, however, was quick to rebut Musk’s allegations, stating, “Wrong, as you surely know. Want to come visit the first site already underway? This is great for the country.” OpenAI maintains that the funding commitments are solid, with SoftBank’s $24.3 billion in cash reserves and MGX’s $100 billion in capital commitments cited as evidence. Oracle, another key partner, boasts $11 billion in cash on its balance sheet, while OpenAI itself has secured over $10 billion in venture capital.

Microsoft Weighs In Too

Adding to the voices from big tech leaders about the project, Microsoft CEO Satya Nadella has also weighed in, saying, “All I know is, I’m good for my $80 billion,” referencing Microsoft’s massive investment in Azure data centres to support AI efforts. Nadella’s comments essentially highlight Microsoft’s ongoing partnership with OpenAI, though tensions have emerged over OpenAI’s recent decision to end Microsoft’s exclusivity as its cloud provider.

Industry Feud

The announcement of the Stargate Project appears to have exposed deep rifts within the tech industry. Elon Musk, who co-founded OpenAI but later parted ways, has been vocal in his criticism of the organisation’s shift towards profit-driven ventures. His scepticism extends beyond financial concerns, as he has accused OpenAI of abandoning its original mission to prioritise humanity’s benefit.

Meanwhile, Salesforce CEO Marc Benioff has raised questions about the potential fallout between OpenAI and Microsoft, saying: “I think it’s extremely important that OpenAI gets to other platforms quickly because Microsoft is building their own AI,” adding that Microsoft’s hiring of Mustafa Suleyman (a co-founder of DeepMind) may signal its intent to develop independent AI models.

Microsoft’s Nadella, however, has downplayed the possibility of a rift, describing Microsoft’s relationship with OpenAI as a “critical partnership” and emphasising that Microsoft retains the right of first refusal for OpenAI’s cloud needs and is committed to supporting the organisation’s ambitions.

Political and Environmental Implications

The Stargate Project appears to be as much a political statement as it is a technological endeavour. President Trump has framed the initiative as a dual strategy, i.e. to counter China’s rapid advancements in AI and to revitalise the U.S. economy through technological innovation. By accelerating domestic AI infrastructure development, the U.S. hopes to not only secure its position as a global leader in the field but also to reindustrialise key sectors, generate jobs, and strengthen national security in the face of growing global competition. Some economic commentators have suggested that the debt-laden U.S. could be showing signs of an ‘empire’ now in decline, with China and BRIC nations emerging as dominant players on the global stage. The Stargate Project, therefore, could be seen as an effort to reassert America’s dominance by leveraging technological leadership as a cornerstone for economic and geopolitical power in the 21st century.

Environmental Concerns

However, the project’s environmental impact has become a point of contention. For example, as highlighted in a recent LinkedIn post by Mark Nelson, managing director of the Radiant Energy Group, the Stargate Project’s data centres will have enormous power requirements. He estimated that each data centre would require at least 6GW of firm power capacity, warning that this could strain existing energy infrastructure, exacerbate shortages, and significantly drive up costs. Nelson also criticised the project’s reliance on fossil fuel-based energy generation, arguing that this approach runs counter to global climate goals. His detailed analysis has sparked broader debate, with environmentalists calling for a stronger focus on sustainable energy solutions to power such ambitious developments.

President Trump, however, is unlikely to heed such environmental concerns, given his long-standing scepticism of climate change initiatives, his reference to “drill, baby, drill” in his inauguration speech, and his signing of an executive order directing the U.S. to withdraw from the Paris Climate Agreement for the second time. President Trump, therefore, appears more committed to prioritising economic growth over environmental regulations. Also, by declaring a “national energy emergency,” Trump has taken steps to reverse previous climate policies and bolster oil and gas development, further indicating that projects like Stargate, with their substantial energy demands, are in line with his administration’s priorities (which aren’t the same priorities as environmental campaigners).

A Divisive Vision for the Future

The Stargate Project may be an ambitious plan to reshape AI infrastructure, with promises of economic and technological breakthroughs but its financial, operational, and environmental obstacles have sparked sharp debates among industry leaders and policymakers. As construction begins in Texas, the project remains a focal point for discussions about the future of AI and its broader implications.

What Does This Mean For Your Business?

The Stargate Project embodies both ambition and controversy. On one hand, the promises of economic revitalisation, job creation, and technological advancement reflect a vision for a transformed future. On the other, the financial feasibility of such a monumental endeavour, coupled with its environmental and political undertones, is fuelling intense debate.

For proponents, the project offers a strategic response to growing competition from nations like China, hopefully positioning the U.S. as a global leader in AI infrastructure while potentially reinvigorating key sectors of its economy. The involvement of major players such as SoftBank, OpenAI, Oracle, and Microsoft lends credibility to its aspirations. However, critics (like Musk) have questioned whether the funding commitments are truly secure and whether the reliance on non-renewable energy undermines global climate efforts.

The environmental concerns raised may also highlight a significant challenge, i.e. balancing progress in AI with sustainable practices. With President Trump prioritising energy independence and economic growth over climate commitments, these issues are unlikely to disappear from the discourse anytime soon.

For businesses, the Stargate Project could herald significant change. By dramatically increasing the availability of cutting-edge infrastructure, it has the potential to lower entry barriers for smaller companies while further empowering established players like Microsoft, Oracle, and Nvidia. This could lead to intensified competition, spurring innovation but also challenging businesses to keep pace with rapidly advancing technologies. The influx of infrastructure might enable startups to leverage powerful AI tools (previously out of reach), creating a more dynamic and diverse AI ecosystem. However, with such a significant investment at stake, large corporations could also use their scale to dominate key markets, potentially sidelining smaller players in the process.

Beyond competition, the project’s focus on domestic production and innovation could shift global market dynamics, reshaping supply chains and forging new partnerships. By making the U.S. a central hub for AI development, it might draw talent and investment away from other nations, accelerating its dominance in a field critical to the future of technology and industry. This centralisation could benefit American businesses with greater access to advanced AI capabilities but also risk exacerbating global inequalities in technological advancement.

The Stargate Project, therefore, could be seen to encapsulate the complexities of navigating the intersection of technology, economics, and geopolitics in a rapidly changing world. Its success or failure will not only shape the future of AI but also reflect broader societal priorities and the willingness of leaders to address the pressing challenges of our time. Whether it becomes a successful example of progress or a cautionary tale remains to be seen.