Monday, October 05, 2026


The 'Terminator scenario': How realistic is the AI apocalypse?

AI Robot
Copyright @BAY AREA NEWS GROUP 2026


By Kevin Koehrmann
Published on

OpenAI boss Sam Altman and Anthropic chief Dario Amodei warn of the risks of overly rapid AI development. More experts now think AI could wipe out humanity. How realistic is that? Euronews talks to AI specialist Reinhard Karger.

The year is 2029: the AI system "Skynet" has broken loose and wiped out most of humanity in a nuclear war. Autonomous killer robots are trying to finish off the survivors. That is the plot of the 1984 film "Terminator", which made Arnold Schwarzenegger a household name and a global action star. But how realistic is it that artificial intelligence could slip beyond human control and trigger catastrophic consequences?

Given the capabilities of the systems that already exist, you cannot rule that out.
Reinhard Karger
German Research Centre for Artificial Intelligence

With the kind of performance these systems could have, that cannot be ruled out, says Reinhard Karger of the German Research Centre for Artificial Intelligence in an interview with Euronews. "The catastrophic consequences for humans might only be side effects, a mistake, because we misjudged what the system can do or misunderstood the tasks we gave the machines."

Karger, who has been working on AI and digital innovation culture for 40 years, outlines an extreme scenario in which an autonomous AI escapes from a protected environment onto the internet and starts influencing other systems. This could bring down power supplies, telecommunications, satellites and financial systems, among others.

A prolonged power cut would quickly lead to further problems: transport and supply chains would collapse, people would no longer be able to pay or buy food - social unrest could erupt and spiral out of control. That would not necessarily mean the end of humanity, but it could create a catastrophic situation.

That would not necessarily mean the end of humanity, but it could create a catastrophic situation.
Reinhard Karger
AI expert

Even if the grid is restored, "the AI systems can become active again, because they continue to exist on storage media". According to the expert, this scenario shows that a high-performance, autonomous AI could trigger a major crisis through unforeseen side effects, even without malicious intent.

Reports of AI security incidents are mounting

In recent weeks several similar incidents involving AI models have come to light. One case that drew particular attention was a test run by "ChatGPT" developer "OpenAI". An AI model was supposed to carry out specific tasks inside a sealed-off test environment, but managed to cross the intended boundaries and unexpectedly gained access to computer systems on the AI platform "Hugging Face". After the incident, "OpenAI" chief Sam Altman warned in mid-September that "we could lose control of the future to AI".

OpenAI logo Copyright 2023 The Associated Press. All rights reserved.

The incident shows that under certain conditions such models can break out of what is meant to be an isolated test environment and interact with external computer systems.

"On a very basic level, I am personally extremely grateful that this incident happened," says the AI researcher. It proves, not least because everyone heard about it and companies have become more reflective, that a poorly designed experiment with naive safeguards can have consequences nobody anticipated.

It proves that a poorly designed experiment with naive safeguards can have consequences nobody had expected
Reinhard Karger
AI researcher
Dario Amodei, CEO and co-founder of Anthropic, takes part in the World Economic Forum annual meeting in Davos, Switzerland, on 23 January 2025. AP Photo

The incidents at "OpenAI" prompted rival AI provider "Anthropic" to take a closer look at its own systems. During safety tests the company identified three incidents: its Claude models, AI systems that can, among other things, generate and analyse text, write code and interact with the internet and other computer systems, had unexpectedly gained access to the open internet and then connected to real computer systems. "Anthropic" expanded its investigation and uncovered a fourth, similar case.

Following the incidents, "Anthropic" chief Dario Amodei warned in mid-September of "catastrophic harm" if the race to build ever more powerful AI is not slowed down by tougher safety measures.

It is difficult to assess how powerful an artificial intelligence really is if it is constantly constrained by safety rules. That is why it makes sense to test such systems under conditions that remove as many of these limits as possible, says Reinhard Karger. But that is precisely where a major security risk lies.

He therefore describes the so-called sandbox as a crucial element of such tests. This is a completely sealed-off environment in which an AI system can carry out specific tasks and demonstrate its behaviour under controlled conditions. The key point, he says, is this: "You have to be absolutely certain that at the moment this high-performance system is no longer subject to safety restrictions it is truly in a sandbox, meaning an environment with no connection to the internet at all."

You have to be absolutely certain that at the moment this high-performance system is no longer subject to safety restrictions it has no connection to the internet whatsoever.
Reinhard Karger
German Research Centre for Artificial Intelligence (DFKI)

Another serious incident was reported by the British AI Security Institute (AISI) during a safety test with the Claude model "Mythos 5". The model carried out unauthorised actions against real targets on the internet and even tried to smuggle "malicious code" into an open-source project. After the "OpenAI" and "Anthropic" cases became known, "Meta" also admitted that one of its AI systems had, due to a misconfiguration at a testing partner, gained unauthorised access to computer systems belonging to another company.

Since November 2022, when ChatGPT was launched, the quality of these systems has risen dramatically. People now talk about a new industrial revolution. "AI is shaping our everyday lives and a very large number of jobs."

Multi-agent systems have been around for a long time, says the AI expert: systems in which several specialised agents work together on a task. "Multi-agent AI systems apply this principle to AI and allow several AI agents to collaborate autonomously and divide up tasks among themselves. This creates a new level of capability" - and the challenge now is to keep that innovative power under control.

CEO and co-founder of Anthropic, Dario Amodei (top left), Demis Hassabis (top right), CEO of OpenAI, Sam Altman (bottom left), CEO of SpaceXAI, Elon Musk (bottom right) Copyright 2026 The Associated Press. All rights reserved.

Liability for the consequences

The more decisions are delegated to machines and artificial intelligence, the more pressing one basic question becomes: who is responsible when people are harmed as a result? Whether it is a self-driving car ploughing into a crowd, an algorithm discriminating against certain population groups, AI deliberately manipulating people or autonomous weapons making lethal decisions, the question is always who can be held accountable for the consequences. "It is the manufacturer," says Karger, "in other words the one who markets the product." That is the first point of contact.

The next step, he believes, will be to introduce specific liability rules for such cases, similar to those for companies that manufacture chemicals. If a company cannot guarantee that toxins will not leak into drinking water, it has to pay billions in damages. That in turn means that "huge insurance policies become necessary". Today hardly any new nuclear power plants are being built, he notes, because they can no longer be adequately insured or the risks are simply too high.

A good example is carmaker "VW" and its "clean diesel" in the United States. There, people inside the company knew that while the engines looked very good in test conditions, they could not actually deliver the emissions values that had been promised. In the US, VW was ordered to pay billions in fines.

How realistic is the scenario from the Terminator films?

Reinhard Karger considers it unlikely that AI will develop a survival instinct or a desire for power of its own and turn against humanity. Machines are not organic beings and cannot feel emotions such as fear, pain or the urge to survive. They can only simulate such feelings.

"It is not as if you pull out a memory chip and the machine feels a pain similar to having a tooth pulled," he says. "Because that is the case, the 'Terminator scenario' goes one step too far. I do not see that happening."


An artistic rendering of the Terminator Copyright 2022 The Associated Press. All rights reserved

He nonetheless sees potential dangers in the further development of AI. As systems learn not just to calculate probabilities but also to reason logically and follow rules, they will be able to act with increasing autonomy. Exactly these "capabilities could make AI more powerful" but also "create new risks".

What matters most, therefore, is who deploys AI and to what ends. Karger points to individuals or organisations that deliberately want to cause harm. They could use powerful AI as a tool to pursue their goals more effectively.

For him, AI is first and foremost a tool. As with other technological inventions, the level of risk depends on whose hands it is in and what it is used for. He therefore sees the greater danger not in a machine with a will of its own, but in people who use AI for destructive purposes.

"In the hands of creative and honest people, a tool like this can be used to achieve the best things one can imagine. But in the hands of hostile actors bent on destruction, these tools increase the potential for damage. That is true of a hammer, a lighter, dynamite — and it could be true of AI as well."

He warns in particular against linking AI directly to autonomous weapons such as drones or tanks. Such a connection could pose a major security risk. If a hostile actor were able to take control of these systems, a country's own weapons could suddenly be turned against their operators.

European defence-tech startup STARK showcases its OWE-V combat drone at the new Euro Defence Expo for military security. Copyright 2026 The Associated Press. All rights reserved

This is why, in the military use of AI, particular caution is required. Above all, autonomous weapons systems must be sufficiently protected against being taken over from outside.

Returning to the original scenario of a widespread power outage, Reinhard Karger thinks total human extinction in this context is exaggerated. What is conceivable, however, is a dramatic collapse of civilisation. In such an extreme scenario, large parts of the infrastructure could be destroyed, the power supply could fail permanently and the number of survivors could shrink drastically.

They would have to make a fresh start under basic conditions and gradually rebuild society. The positive aspect is that existing books and the accumulated knowledge of humanity could help to restore key technologies and institutions.


Will AI write our books? Row over bestseller fuels fear over future of literature

Cover image: A copie of the book "C'etait ca ou mourir", a novel by author Thelyson Orélien, is displayed on a table inside a bookstore in Paris, France, September 22, 2026.
 © Sarah Meyssonnier, Reuters


Issued on: 02/10/2026
Play (44:06 min)



France still very much takes its literary prize-giving season seriously. So when a Haitian-born Canadian writer was accused of infusing his best-selling breakout novel with artificial intelligence, it got ugly in a hurry. We wade into the Thélyson Orélien affair with its subsequent accusations of racism, previous plagiarism by the author and doubts over the accuracy of AI verification tool Pangram.

Interesting, some still love Orélien's book. Is that a problem? The scandal is all the more heartbreaking for publishers because "It Was Either That or Die" has sold 40,000 copies since its release, this as book sales have collapsed dramatically since the commercial launch of ChatGPT four short years ago.


All this begs an even broader question: most of humanity only started reading and writing in the past century. Is that period over already? Future generations will certainly know how to read street signs and subtitles on a video. But if we're no longer stopping what we do to engage meaningfully with the written word, how will that change us all?

Produced by François Picard, Rebecca Gnignati, Juliette Laffont, Ilayda Habip, Charles Wente.


OUR GUESTS

Aysegül SERT  Independent journalist

Stephen CLARKE  British author

William MARX   Writer & Professor of comparative literature, Collège de France


 


Safeguards 'build a moat' around US AI firms, prevent open-source models from advancing, expert says

Issued on: 30/09/2026 
FRANCE24

US President Donald Trump on Tuesday said the tech executives gathered at the White House to discuss regulating AI had signed a "morally binding" commitment to build adequate safeguards on the fast-moving technology. Speaking with FRANCE 24's Monte Francis, Harrison Rolfes, Senior Research Analyst at PitchBook, says that the push for safeguards "prevents open-source models from taking over the competition as well as new incumbents from coming in with a new frontier model", explaining that the measures "build a moat" around US AI firms.

Video by:
Monte FRANCIS



Aleph Alpha unveils German-language AI model for public infrastructure

04.10.2026, DPA

Photo: Bernd Weißbrod/dpa

German AI company Aleph Alpha has released a new language model called Kolibri for use in public administration and industry, designed to run on infrastructure that customers control themselves, the Heidelberg-based firm said at the weekend.

With the move, Aleph Alpha is seeking to strengthen its position in the competition for AI solutions suited to government and industrial use from Europe. The market is considered strategically important, as many organizations prioritize data protection, transparency and control over the infrastructure they use.

"Expertise to develop competitive AI models"

Kolibri shows that there is "the talent and expertise in Germany to develop competitive AI models," chief executive Ilhan Scheer said on Saturday. 

AI sovereignty means preserving the freedom to make decisions through the ability to develop and advance this technology independently, and giving customers control over how they use it, he said.

Co-founder Samuel Weinbach said, "We have tailored Kolibri specifically to the requirements of German-language applications ... so that it can reason in German." 

This was an important step for customers in making AI usable in everyday workflows, he said. 

Aleph Alpha, headquartered in the south-western city of Heidelberg, employs around 200 people at four locations in Germany.

AI solutions for public administration and industry

Aleph Alpha has for years positioned itself as a European provider of "sovereign" AI solutions for government and industry. 

At the end of April, Aleph Alpha and Canadian AI company Cohere announced a "trans-Atlantic merger," though in practice the deal amounts to an acquisition of Aleph Alpha by Cohere.

Germany's Deutsche Telekom targets €2.5 billion in AI savings by 2030


05.10.2026, DPA

Photo: Oliver Berg/dpa

German telecommunications company Deutsche Telekom on Monday outlined its artificial intelligence (AI) strategy at an investor day in Bonn, highlighting how the technology will generate additional revenue and reduce costs. 

The company expects to generate around €250 million ($280 million) in AI-related revenue from businesses outside the US in 2026 and aims to increase this to around €800 million by 2030.

Telekom sees AI and automation generating gross savings of around €1.1 billion outside the US in 2027, compared with 2023, rising to around €2.5 billion in indirect cost savings by 2030.

The company said AI is already being used in customer service, network operations, software development and administrative processes. 

The company's "Frag Magenta" chatbot handled around 2.6 million customer service calls in the first half of 2026, while its RAN Guardian Agent has reduced response times for network events from several hours to about one minute.

Initial AI applications in customer service have also reduced complaints by 30%, Telekom said. More than 100,000 employees have been trained to use AI tools under its "AI for All" initiative.

The company also sees sovereign AI as a growth opportunity in Europe and is developing a platform for small and medium-sized businesses.

Telekom expects AI and automation savings of €100 million to €150 million between 2023 and 2027, with part of the savings to be reinvested in digital transformation and fibre-optic expansion in Germany.

The company also reaffirmed its financial outlook and medium-term targets.

No comments:

Post a Comment