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
Robotics Firm Says AI-Powered Humanoid Robots Could Carry Weapons by 2027
A U.S. robotics company developing artificial intelligence-powered humanoid robots says weaponised versions of the technology could begin testing as early as next year, following field trials in Ukraine, raising fresh questions about the future of autonomous systems in modern warfare.
Foundation Future Industries, which builds humanoid robots for commercial and military applications, has already tested its Phantom robots in Ukraine in non-combat roles. Chief Executive Officer Sankaet Pathak said the company expects to explore weaponisation after evaluating the results of those pilot programs.
Pathak said public fears are often shaped by science fiction but argued that humanoid robots would not replace existing weapons such as missiles or drones.
“I think we have this psychological reaction, which is like the Terminator, but the reality is not really like that,” he said.
Instead, he believes humanoid robots could be deployed for highly precise military operations where limiting damage to infrastructure and reducing civilian casualties are priorities.
According to Pathak, drones and conventional weapons remain more effective for large-scale attacks, while humanoid robots would be better suited to complex ground missions requiring careful movement through buildings and urban environments.
He added that robots are unlikely to replace drones on the battlefield but could help reduce risks faced by soldiers in increasingly dangerous combat zones.
Currently, there is no international treaty specifically regulating humanoid or autonomous combat robots. Their use falls under existing international humanitarian law, which requires distinction between military targets and civilians during armed conflict.
The issue has drawn increasing attention from the United Nations. Last week, UN Secretary-General António Guterres renewed calls for restrictions on lethal autonomous weapons systems, describing them as “killer robots” capable of selecting and attacking targets without human judgment. The UN has been negotiating a treaty on lethal autonomous weapons since 2023, with proposals calling for a legally binding agreement by 2026.
Pathak argued that humanoid robots should be treated similarly to other precision-guided military systems already in service, including armed drones and unmanned ground vehicles.
Foundation’s robots rely on artificial intelligence built around so-called world models. Unlike large language models that predict text, these systems learn from video, simulations and spatial information to understand physical environments and predict how objects and people move over time.
The company believes these models are essential for creating robots capable of safely navigating complex surroundings.
While concerns persist about advanced AI becoming uncontrollable, Pathak said the greater short-term threat comes from criminals or extremist groups misusing publicly available AI tools for cyberattacks, disinformation campaigns or modifying commercial drones for attacks.
He believes scenarios involving AI independently rewriting its own objectives and improving itself remain several major technological breakthroughs away.
Beyond combat, Foundation sees immediate military uses for its humanoid robots in logistics, reconnaissance and building inspections. Those capabilities have already been evaluated in Ukraine, helping shape the development of the company’s next-generation Phantom 2 robot.
The upgraded model is designed for harsh outdoor conditions, offering waterproof and dustproof protection, an increased payload capacity of around 80 kilograms and greater resistance to impacts.
Foundation currently leases Phantom robots to commercial customers for about $100,000 annually per unit, while military buyers purchase the machines at similar prices. Its investors include Eric Trump, payment company Stripe and venture capital firm Define.
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