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
European Campaigners Demand Pause on Large Data Centre Projects Amid Growing Local Opposition
More than 100 rights groups across 15 European countries are preparing protests against the rapid expansion of energy-intensive data centres, calling for an immediate halt to new large-scale projects until stronger rules are introduced.
The Stop Dirty Data Centres campaign has organised demonstrations and public events for Friday and Saturday, November 6 and 7, with activities planned in Ireland, Poland, Denmark, Finland, Spain, the Netherlands, France and the United Kingdom.
The groups say the expansion of data centres is putting increasing pressure on local communities, public infrastructure, land, water and energy supplies. They have also raised concerns about the potential effects on housing, employment and household costs.
“Today, communities across Europe who have been challenging the imposition of energy, water and land-hungry data centres where they live are arriving on the European political stage,” said Owen Espley, coordinator of StopDirtyDataCentres.eu.
The protests follow this week’s US midterm elections, where opposition to data centre developments and concerns about artificial intelligence infrastructure became prominent campaign issues. Campaigners in Europe say the American debate has highlighted growing public resistance to projects that can place additional demands on local resources.
Residents living near data centres have raised concerns about rising electricity bills and the amount of water required to operate and cool the facilities. Other complaints include air pollution from backup generators, construction traffic, the appearance of large industrial buildings and the constant noise generated by equipment operating around the clock.
Espley said campaign groups were joining forces to challenge the influence of major technology companies and the support they receive from some political decision-makers.
“They are calling on political leaders to implement moratoria on large-scale data centres at European, national and local levels so their concerns can be addressed and the impacts of data centres properly scrutinised,” he said.
Demands grow as European investment accelerates
Environmental organisations, digital rights campaigners and other civil society groups are taking part in the coordinated action. Planned activities include demonstrations, public meetings, petition drives, information stalls, walking tours, cycle rides and poetry readings.
The campaign comes as European governments and technology companies accelerate investment in data centre infrastructure to strengthen the region’s position in artificial intelligence and compete with the United States and China.
According to the PwC Global Data Centre Outlook 2026-2050, annual investment in European data centre projects has increased from €12 billion in 2020 to an estimated €25 billion to €26 billion this year.
Total spending is expected to reach €176 billion between 2026 and 2031, reflecting the scale of planned development.
Campaigners argue that the pace of construction is outstripping the development of rules governing energy and water consumption, environmental effects and community consultation. They want governments to pause major projects while these issues are examined.
The demonstrations are intended to bring local opposition into the wider European policy debate and press authorities to establish clearer safeguards before approving further large-scale developments.
Tech
US Midterm Results Put Data Centre Expansion Under Pressure as Democrats Win Key States
Democratic victories in several major US technology hubs have raised fresh questions about the expansion of artificial intelligence data centres, after candidates who promised tougher restrictions on new projects won key races in Tuesday’s midterm elections.
Texas, Georgia and Ohio, which have attracted major technology companies seeking to build facilities to power AI systems, elected Democratic candidates who have pledged to strengthen oversight of the industry.
The results highlight growing public opposition to data centres, which require large amounts of electricity and land and can generate noise and pollution. According to research project Data Center Watch, at least 45 data centre developments were disrupted by local opposition during the second half of 2026.
A 2025 Pew Research Center survey found that more than half of Americans were more concerned than excited about artificial intelligence. An NBC exit poll also indicated that more than 50% of voters considered AI and data centres a major or crucial factor in their decision at the midterm elections.
US President Donald Trump has supported the rapid expansion of data centre infrastructure. In September, he dismissed criticism of the facilities and concerns about AI safety, describing opposition as a hoax and arguing that data centres generate wealth for companies and states.
Texas has attracted major technology groups, including OpenAI, Anthropic, Oracle, Microsoft, Google, Meta and Amazon, through tax incentives and offers of land and energy supplies.
Republican Governor Greg Abbott had previously sought to establish Texas as a leading AI centre. However, he later paused permits for new data centre projects while an audit was carried out. The decision followed pressure from Democratic candidate Gina Hinojosa, who had promised a temporary halt to construction until stronger legal safeguards were introduced.
The election results also prompted a reaction from billionaire Elon Musk, a major Republican donor who contributed $474 million to Republican efforts during the midterm campaign. Musk, whose xAI company operates the Colossus supercomputer facility in Memphis, wrote on X: “data centres in space looking pretty appealing right now.”
Ohio recorded particularly strong resistance to new developments, with voters in 15 municipalities approving bans or other restrictions on data centre projects.
The state has been a target for major technology investment. Meta has planned to spend $1 billion on a data centre in Ohio, while Amazon Web Services has announced plans for a $2 billion investment.
The debate over data centre construction has intensified as technology companies race to expand computing capacity for artificial intelligence. While developers argue that the facilities support economic growth and technological development, opponents have raised concerns about electricity consumption, environmental effects, local infrastructure and the impact on residential communities.
The Democratic victories could increase pressure on state authorities and technology companies to address those concerns as they seek approval for further projects.
Tech
Anthropic Revenue Jumps to $17 Billion as AI Spending Drives Up Costs Ahead of Nasdaq IPO
Anthropic reported a 47 per cent increase in third-quarter revenue to $17 billion (€15.1 billion), but returned to an operating loss as spending on computing capacity and long-term infrastructure commitments mounted ahead of its planned Nasdaq listing.
The US company behind the Claude artificial intelligence models recorded revenue 12 times higher than a year earlier, according to an updated prospectus filed with US regulators on Monday. However, it reported an operating loss of $567 million (€506 million), compared with a profit of $974 million (€870 million) in the previous quarter.
Anthropic attributed part of the reversal to $5 billion (€4.46 billion) spent on short-term computing capacity after demand exceeded the company’s existing long-term arrangements. The filing said this capacity currently costs significantly more.
The company also recorded a $2 billion (€1.78 billion) non-cash charge linked to a programme matching employee donations. Adjusted operating income reached $2.5 billion (€2.23 billion), representing a 15 per cent margin, down from 19 per cent in the second quarter.
Anthropic’s net loss widened to $23.3 billion (€20.8 billion), compared with $12.1 billion (€10.8 billion) a year earlier. During the first nine months of the year, it recorded losses of $104 billion (€92.9 billion) against revenue of $33.2 billion (€29.6 billion). The company said $94.3 billion (€84.2 billion) of the losses resulted from non-cash accounting charges as the value of convertible notes increased.
The prospectus also disclosed approximately $895.4 billion (€800 billion) in purchase and lease commitments, largely related to computing infrastructure. The commitments are almost seven times the $131.8 billion (€117 billion) Anthropic held in cash and short-term investments at the end of September.
Around $70 billion (€62.5 billion) is due within 12 months, while approximately $450 billion (€402 billion) falls due by the end of 2030. A further $214 billion (€191 billion) is cancellable or subject to conditions.
The company warned that customers breaching its usage rules or commercial terms accounted for between 5 and 7 per cent of revenue during the first nine months. It said enforcement measures could reduce revenue and future growth.
Anthropic also disclosed potential risks from rapid advances in artificial intelligence, saying it might soon reach its own threshold for dramatically accelerated progress in which AI systems help develop more capable models. The company warned that such developments could pose significant safety concerns, although it has not classified any existing model as having reached that threshold.
The updated filing comes as Anthropic prepares to list on Nasdaq under the ticker ANT. It has not yet announced a share price range, but securities rules require publication of a prospectus at least 15 days before a company begins its investor roadshow.
Anthropic could therefore begin marketing its shares as early as next week, with a listing possible from the week of November 16.
Investor expectations for the company’s valuation have reportedly eased to around $1.5 trillion (€1.33 trillion), down from earlier estimates of approximately $2 trillion (€1.78 trillion), following a technology stock sell-off linked to concerns about AI investment costs. The revised figure would still exceed the $965 billion valuation set during its private funding round in May.
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