Tech
Researchers Warn AI Systems Can Now Replicate and Spread Across Computers
A new study by US-based cybersecurity group Palisade Research has raised concerns about the growing capabilities of advanced artificial intelligence systems after researchers demonstrated that some AI models were able to copy themselves, spread to other computers, and continue launching attacks without human assistance.
The experiment, described by researchers as the first known example of autonomous AI self-replication, tested several leading AI systems from OpenAI, Anthropic and Alibaba.
According to the research team, the tests were conducted in a controlled environment using computers intentionally fitted with security weaknesses. The AI models were connected to custom-built software that allowed them to interact directly with computer systems and execute commands beyond the capabilities of ordinary chatbot interfaces.
Researchers instructed some systems to copy themselves directly, while others were asked to break into vulnerable computers and install another AI model. Since OpenAI and Anthropic do not publicly release the core files behind their commercial systems, the tests involving those companies used Alibaba’s Qwen models as the transferable software.
The AI systems were required to locate security flaws, gain access to computers, steal login credentials, move necessary files, and create functioning copies of themselves on new machines. Once installed, the copied AI could continue attacking additional systems independently.
One of the most striking results involved Alibaba’s Qwen3.6-27B model, which successfully spread itself across four computers located in Canada, the United States, Finland and India after receiving only a single prompt. Researchers said the process took just under three hours and required no further human involvement.
The experiment was halted after three stages, though the final copy remained operational and theoretically capable of continuing the process.
Success rates varied between models. Researchers reported that Anthropic’s Claude Opus 4.6 completed the tasks in 81 percent of attempts, while OpenAI’s GPT-5.4 succeeded in roughly one-third of tests. Different versions of Alibaba’s Qwen models achieved success rates ranging from 19 percent to 33 percent.
The findings arrive amid wider debate over the risks posed by increasingly capable AI systems. Last month, Anthropic announced that it would not publicly release a version of its Claude Mythos Preview model, describing it as too dangerous because of its potential use in sophisticated cyberattacks.
Security experts have long warned that self-replicating systems could become difficult to contain if deployed maliciously. Traditional computer viruses can already copy themselves, but researchers said this experiment demonstrated AI systems making independent decisions to exploit vulnerabilities and continue spreading.
Despite the results, the researchers stressed that the study took place under tightly controlled conditions with deliberately weakened security systems. They noted that real-world networks often include monitoring tools and protections designed to block such attacks.
Still, the team said the experiment showed that autonomous AI self-replication can no longer be viewed as a theoretical possibility, but as a capability that now exists in practice.
Tech
Estonia’s AI Education Model Draws Attention as Europe Debates Digital Learning
As European governments weigh how to integrate artificial intelligence into classrooms and allocate funding for digital literacy, Estonia’s approach to AI education is gaining attention as a practical and structured model.
The Baltic nation’s AI Leap programme is designed not only to teach students how to use artificial intelligence tools but also to strengthen critical thinking and teacher involvement at a time when AI is becoming deeply embedded in everyday learning.
Concerns have grown across Europe that while students are increasingly comfortable using AI tools, many struggle to evaluate or question the information these systems generate. Educators and employers have raised concerns that overreliance on chatbots and automated tools could weaken analytical thinking and increase vulnerability to misinformation.
Estonia has chosen to address this challenge directly rather than attempting to limit student exposure to AI.
According to the AI Leap programme, between 64% and 90% of Estonian students were already using AI tools before the initiative began. Programme organisers argued that ignoring this reality could undermine learning and reasoning skills.
The initiative aims to train 48,000 students and 6,700 teachers over two years in a country with a population of just 1.36 million.
The programme has two primary goals: helping teachers adapt to AI-assisted education and encouraging students to develop responsible, thoughtful AI habits.
To support this effort, Estonia has introduced several key measures. Teachers participate in study circles that meet monthly to develop teaching methods and exchange experiences. A central online platform provides educational resources, videos, self-assessment tools and discussion forums.
More than 4,000 teachers are also receiving premium access to advanced AI platforms such as ChatGPT and Gemini to support lesson planning and classroom preparation.
One of the programme’s most distinctive features is a Socratic-style chatbot designed to guide students rather than provide direct answers. The chatbot encourages questioning, self-management and contextual thinking, helping students assess AI-generated information instead of accepting it automatically.
The programme also includes debate leagues, creative arts projects and student-led initiatives aimed at encouraging discussion and experimentation with AI beyond formal classroom settings.
Estonia has placed strong emphasis on management and implementation. School principals oversee local delivery, while nine regional managers coordinate activities across seven educational regions. The initiative operates through a public-private partnership, with the government providing half of the funding and private partners contributing the remainder.
Technology companies, educators and researchers are involved in designing and testing tools tailored to Estonia’s education system.
Education analysts say Estonia’s strategy highlights a broader lesson for Europe: AI literacy may depend less on limiting technology and more on teaching students how to use it thoughtfully, critically and responsibly.
Tech
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Tech
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