Britain, Defence, Military, National Security

Recce-Strike: A new concept in warfare

DEFENCE

Colonel de Bretton-Gordon who commanded the 1st Royal Tank Regiment has written on the new concept of warfare known as “Recce-Strike”.

The former commander, and now a writer and author, says the British Army has finally planted its flag in the ground over the future of land warfare, embracing the Recce-Strike doctrine laid out in the Ministry of Defence’s 2025 Strategic Defence Review (SDR).

In many respects, this is being seen as one of the most important conceptual shifts in British military thinking since the end of the Cold War. Crucially, it recognises the brutal realities of modern combat, witnessed daily on the battlefields of Ukraine, where drones, sensors, and rapid precision strikes have fundamentally changed warfare.

Defence has judged that future lethality will come roughly 80pc from drones and autonomous systems, and just 20pc from traditional armoured platforms and artillery. The Colonel says this is both bold and correct. The evidence from Ukraine, he says, is overwhelming. The side that can find, identify, and destroy targets fastest is the side that survives. The Ukrainians, despite chronic shortages in ammunition and equipment, have become masters of this new form of warfare and remain streets ahead of most NATO armies in understanding its practical application.

Had Ukraine received the military support it requested earlier and in greater quantity, there is little doubt that Putin would now be in a far weaker position and considerably more enthusiastic about genuine peace negotiations. That lesson should not be lost on Britain. Defence cannot once again become the sacrificial lamb of domestic political turmoil. At a time when global instability is increasing, any government distracted by internal political warfare risks placing the defence of the realm in jeopardy.

Recce-Strike itself is deceptively simple in concept but revolutionary in execution. It integrates surveillance, reconnaissance, and strike assets into a single digital ecosystem capable of identifying and destroying enemy targets within minutes, sometimes seconds. The aim is to collapse the traditional “kill chain” through the use of AI-assisted targeting, drones, sensors, electronic warfare, and long-range precision firing.

The concept comprises three principal components. First, rapid targeting, drastically reducing the time between detection and destruction through AI-enabled decision making. Second, persistent battlefield surveillance using drones, sensors and electronic warfare to create a comprehensive picture of the battlespace. This is precisely where the much-maligned Ajax reconnaissance vehicle becomes absolutely critical. Critics have spent years deriding Ajax, but they fundamentally misunderstand its role. It is not merely a reconnaissance platform; it is the digital nerve centre of the future battlefield. Third comes long-range firing, combining intelligence and precision strike through artillery, missiles, and loitering munitions to hit enemy formations deep behind the front line.

The announcement that Britain will acquire 72 new self-propelled 155mm howitzers is highly significant. Mounted on the Boxer chassis, the RCH 155 represents exactly the sort of long-range precision capability Britain desperately needs. The systems will be manufactured in the United Kingdom under a contract valued at just under £1bn, strategically vital at a time when sovereign industrial resilience matters more than ever. The remotely or manually operated howitzer can fire eight rounds per minute at targets up to 70 kilometres away and can even operate unmanned when required.

Together with Ajax and Challenger 3, Britain is beginning to assemble the foundations of a genuinely modern, digitally integrated land force. Challenger 3, in particular, will be the Army’s first truly digital main battle tank and a formidable asset if fielded correctly. Combined, these systems could provide the British Army with a highly credible Recce-Strike capability suitable for surviving and winning on tomorrow’s battlefield.

However, time is not our side. The current ambition to have these capabilities fully operational by the end of the decade may simply be too slow given the pace of global instability and military innovation. There is no doubt that integrating Ajax, RCH 155, and Challenger 3 into a coherent fighting force presents enormous challengers in training, logistics, and doctrine. Nonetheless, these are solvable problems, provided the Treasury delivers sustained funding and political leaders maintain focus.

That, ultimately, is the key issue. Defence requires long-term national resolve, not short-term political calculation. The danger is that political chaos in Westminster, and any further lurch to the Left should Sir Keir Starmer lose his grip on Labour, could once again see defence spending sacrificed in favour of ever-expanding socialist commitments.

Today, Russia remains aggressive, China increasingly assertive, and conflict in the Middle East continues to destabilise the international order. Against such a backdrop, weakening defence spending would not simply be irresponsible. It would be reckless.

Without national security, every area of public spending is meaningless. If Britain cannot defend itself, debates over welfare and health budgets rapidly become academic. History repeatedly teaches us that freedom, prosperity, and stability are only preserved when nations possess the will and the capability to defend them.

– Colonel Hamish de Bretton-Gordon’s next book ‘Tank Command’, to be released on June 4, is published by Headline, 320pp

His previous memoir, Chemical Warrior, was published in 2021. Hamish de Bretton-Gordon is a world-leading expert on chemical, biological, radiological, and nuclear weapons

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Artificial Intelligence, Britain, Government, Politics, Society, Technology

Proposed ‘kill switch’ for AI data centres

CYBER SECURITY

UK politicians are pushing for an AI “kill switch” that would allow ministers to shut down data centres.

Campaigners are seeking new laws that would give the Government powers to switch off AI systems in the event of a “catastrophic risk”.

A proposed amendment to the cyber security and resilience bill has the backing of at least 11 MPs, and is part of a coordinated campaign from Control AI, a group calling for strict AI regulations. The plans have not been endorsed by the Government, but demonstrate growing concerns about Artificial Intelligence among Members of Parliament.

Donald Trump, too, has recently expressed support for a kill switch and told Fox News that there should be government powers to shut down AI.

The amendment, proposed by Labour’s Alex Sobel, would give the technology secretary “last resort powers” to direct the shutdown of data centres “in the event of an AI security or operational emergency”.

The powers would come into force if there were a “catastrophic risk” to critical infrastructure, national security, or “severe, large-scale harm to human life”. Data centre operators would have to install infrastructure allowing them to be stopped instantly and establish secure communications to the Department of Science, Innovation and Technology to enable ministers to act.

Meanwhile, Dario Amodei, the Anthropic chief executive, is expected to meet a group of 50 top European chief executives at a two-day forum to discuss AI adoption across the private sector.

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Artificial Intelligence, Research, Science, Society, Technology

Superintelligent AI and its threat to humanity

ARTIFICIAL INTELLIGENCE

Intro: Humanity faces an uncertain fate as experts brace for superintelligent AI. The tech industry claims looming “singularity” will change everything

Every time one of the world’s top artificial intelligence companies unveils a new system, employees at the US research organisation METR put it through its paces. Its ability is tested to complete a series of increasingly complex tasks.

The tasks are measured by how long each one would take a skilled human. They range from trivial arithmetic (two seconds) and completing a game of Wordle (13 minutes) to building complex military satellite software (taking a human expert 14.5 hours).

The test then serves as a gauge as to how capable AI has become – and where it might go.

The first version of ChatGPT, released in 2022, could only perform simple tasks that would take a human a few seconds.

But as AI systems have become more powerful, they are able to complete more complex actions that would take humans hours or days, such as breaking into a medical website and downloading all its data.

METR has found that AI capabilities are doubling in power every 196 days. Plotted on a graph, this progress starts slowly then rapidly accelerates to a near-vertical plane.

Converse with anyone in the AI industry for any length of time and the likelihood of them pulling up a version of the chart approaches 100pc, to the point where it has become a meme in its own right. It is being referred to as the most important chart in the world. The chart goes off the scale.

Last month, the AI lab Anthropic announced it had developed a new system, called Mythos, that it said was too powerful to release to the public because of its ability to find gaping holes in online security systems.

When METR’s researchers released the results of Mythos’s capability and function, they scored the system at 16 hours – meaning the world’s most powerful AI can now automate tasks that would take a human two full eight-hour shifts.

Nonetheless, they said the model was “at the upper end” of their ability to test. In other words, progress has become too fast for them to measure.

Not everybody is convinced by the results because the test only measures if a machine can do something half the time, not if it can do it consistently. The METR chart has, however, captured many people’s imaginations for two reasons.

First, the exponential growth looks strikingly similar to “Moore’s Law”, the maxim that has governed the electronics industry for more than half a century, stating that microchips roughly double in power every two years.

Second, it measures abilities, rather than intelligence. While many AI “benchmarks” resemble university exams and gradings, dealing in abstract reasoning or maths, the METR test studies whether AI can actually work.

It suggests that on current trends, vast amounts of human tasks could be automated in the next couple of years – including, most crucially of all, the art of developing AI models itself.

At that threshold, known in the tech industry as “recursive self-improvement”, all bets are off.

The concept is closely linked to superhuman AI because an AI that can make itself smarter could act like an evolutionary chain reaction, rapidly building to a system vastly more capable than mankind.

AI would have become – as IJ Good, the Bletchley Park codebreaker, predicted in 1965 – “the last invention that man need make”. Almost Orwellian in thought.

For 60 years, the idea seemed out of reach. But much of Silicon Valley believes this is about to change – and the US government is starting to notice.

The vast majority of people’s experience of AI has not changed much in the last couple of years. The release of ChatGPT in 2022 generated an initial flurry of excitement and fear in equal measure but, since then, progress has been less obvious.

The AI experience for many people comes in seeing an obviously fake video on their social media feeds, seeing an AI overview at the top of their search results, or having a bot that “helpfully” offers to summarise their emails.

But at the coalface, people are rapidly bringing forward their timelines for the day that superintelligence arrives.

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