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.
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Sweden’s ‘W’ Platform Joins Europe’s Push to Build Big Tech Alternative
A new Sweden-based social media platform called “W” has entered the growing field of European tech initiatives seeking to challenge the dominance of US-based Big Tech companies, as the European Commission announced its participation on Wednesday.
The platform, which was first introduced at the World Economic Forum in January, promotes itself as a digital space built on “verified human users, transparency, privacy and free speech.” It has now launched a beta version, with access limited to users who pass a vetting process before being allowed to post content.
European Commission President Ursula von der Leyen and European Council President Antonio Costa are among the early official users of the platform, signalling political support for the initiative. Users are required to verify their identity either by registering their real name or by using “W Identity,” a separate verification tool that scans passports or national identity documents directly on a user’s device.
According to the company, W was developed by a group of entrepreneurs working across media, technology and artificial intelligence. The platform states that it plans to host data exclusively on European servers operated by European companies, aligning its infrastructure with EU data protection standards.
CEO Anna Zeiter has said the platform intends to rely on European service providers, including Switzerland-based encrypted email company Proton and Finland’s cloud computing firm UpCloud, as part of its commitment to privacy-focused operations within Europe.
The launch comes amid a broader push across the continent to reduce dependence on US technology giants and strengthen what policymakers describe as “digital sovereignty.” Governments in France, Germany and the Netherlands have previously raised concerns that reliance on foreign-owned platforms could expose Europe to security risks and limit control over sensitive data.
W is part of a wider wave of European alternatives to mainstream social media networks. Other emerging platforms include Bulle in France, Eurosky, Monnett and eYou, all aiming to offer regionally governed digital ecosystems.
Some of these platforms recently signed a declaration supporting the development of Europe’s “social stack,” a shared digital infrastructure intended to provide a more diverse and resilient online environment. The initiative argues for reducing reliance on dominant global platforms and promoting alternatives with governance structures rooted in Europe.
However, analysts have noted that competing with established social media giants presents significant challenges. Experts have pointed out that new platforms often struggle to maintain large user bases, as they typically lack the scale, engagement features and convenience that have made existing networks dominant in global digital communication.
Despite these challenges, supporters of W and similar projects say the push reflects a broader effort to reshape Europe’s digital landscape and assert greater control over data, privacy and online governance in an increasingly competitive global tech environment.
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