The future of military artificial intelligence may not be a single all-knowing machine directing a battlefield from a distant command center. Instead, DARPA is preparing to explore enormous collectives of AI agents capable of organizing themselves, dividing up missions, adapting to chaos, and continuing to operate even when some members of the group fail, disappear, or go rogue.

The Defense Advanced Research Projects Agency (DARPA) has formally launched a new effort called Decentralized Artificial Intelligence by Controlled Emergence, or DICE, aimed at developing AI collectives that can operate in contested environments without requiring a human or central AI planner to explicitly direct every action.

By the program’s final phase, DARPA wants researchers to test simulated collectives involving as many as 100,000 AI agents exchanging up to 1 million messages as they work toward shared objectives.

A recently released solicitation notice describes DICE as a 36-month effort divided between decentralization, adversarial robustness, and large-scale testing.

“Future conflicts will unfold at machine speed, and the current centralized planning and scripted orchestration approach is too slow, too rigid, and too predictable for the hyper-dynamic, contested environments of the future,” researchers write. “Surprise, adaptability, and resilience will depend on the ability to compose and recompose AI capabilities on demand.”

The basic premise behind DARPA’s DICE program is that today’s approach to multi-agent AI has a serious weakness. Most systems involving multiple AI agents still rely on some form of central orchestrator.

Think of it as a manager overseeing a team of specialized employees. One AI agent might gather information. Another analyzes it. A third creates a plan. A fourth executes a particular task. But somewhere in the system, a central planner or workflow typically decides who does what and combines the results.

That works reasonably well for predictable tasks. However, DARPA argues it may be dangerously vulnerable on a battlefield.

A central orchestrator creates a bottleneck because every increasingly complex mission must ultimately flow through a single decision-making structure. As the number of agents, roles, and interactions grows, the central planner must absorb more information, preserve greater context, and coordinate an expanding web of specialized systems.

Eventually, DARPA says, even an AI orchestrator can hit the context and inference limits of its underlying foundation model. There is also a more obvious military problem. A central command node is a single point of failure.

If communications are degraded, information arrives late, or the orchestrator itself is compromised, errors can potentially spread throughout the entire AI collective.

In a future conflict where electronic warfare, cyberattacks, deception, and broken communications are expected rather than exceptional, that vulnerability could be catastrophic.

DICE proposes a radically different model.

Rather than having a central AI issue instructions, individual AI agents would communicate directly with one another. They could form temporary teams, divide missions into smaller tasks, negotiate roles, combine incomplete information, and reorganize themselves when conditions change.

DARPA compares the idea to the architecture of the internet, where resilient global behavior can emerge from relatively simple local rules and decentralized interactions.

Essentially, an AI agent might receive a mission and determine that only part of the objective falls within its capabilities. The agent could volunteer to handle that portion and broadcast the remaining problem to neighboring agents.

Another agent might take the next task. Others could compete to perform the same job, potentially bidding based on cost or capability. Through repeated local interactions along with distributed consensus, the collective could gradually assemble its own mission plan.

If an agent fails, the entire mission does not necessarily need to be replanned. Its particular task could simply be offered back to the collective.

DARPA calls the larger concept “controlled emergence.”

Similar systems already exist in nature. Ant colonies, or flocks of birds, can engage in surprisingly complex group behavior even though no individual member possesses a complete understanding of the collective.

Computer scientists have long studied similar phenomena. DARPA’s solicitation even points to Conway’s Game of Life, the famous mathematical simulation in which extraordinarily complex patterns can emerge from a handful of simple rules.

The challenge is applying that principle to cognitive systems capable of reasoning, planning, and independently pursuing goals.

A sophisticated AI system may interpret ambiguous information, interact with tools, maintain memory, and generate its own intermediate objectives. Put thousands of such agents together, allow them to communicate, and the resulting collective could behave in ways that were never explicitly programmed.

That unpredictability is both the attraction and the danger of DICE.

DARPA wants the collective to remain creative enough to discover unexpected courses of action. However, it also wants individual agents to continue aligned with their designated roles, the wider mission, established doctrine, and ultimately the human user’s intent.

Too much control could produce a predictable but unstable AI force incapable of adapting. Too little control could allow agents to drift from their roles or develop what DARPA calls “instrumental goals” that are not consistent with the mission.

In other words, the Pentagon’s research arm wants emergence—but only within boundaries.

To solve the problem, DICE researchers will develop a local adaptor designed to interface with each AI agent. Rather than functioning as a central command system, each adaptor would operate locally, helping the agent coordinate with peers while simultaneously monitoring and modifying its behavior.

For AI models whose internal activations are accessible, researchers may experiment with techniques such as “activation steering.”

The simplified idea is that assigning an AI a particular role can create detectable patterns inside the model. Researchers may be able to identify a mathematical representation associated with that role and continuously steer the model back toward it when the agent begins to drift. DARPA describes these representations as potential “role vectors.”

For proprietary or black-box AI models whose internal activations cannot be directly examined, the challenge becomes considerably harder. DICE researchers may instead experiment with memory editing, context engineering, tool restrictions, or even game-theoretic incentives created to encourage collaborative behavior.

The solicitation draws an intriguing comparison to the way social norms emerge and spread among humans. As AI models become better at reasoning and more aware of the context in which they operate, DARPA suggests that the same growing sophistication that fuels fears about rogue AI could also provide a new way to control it.

The scale DARPA ultimately envisions is enormous.

During the first nine-month phase of DICE, simulated missions are expected to involve approximately 500 agents and 5,000 interactions. DARPA will compare the decentralized systems with state-of-the-art centrally orchestrated multi-agent AI systems.

The second phase increases the target to 5,000 agents and 50,000 interactions while introducing adversarial conditions. Agents may fail, receive deceptive information, or deliberately behave as compromised or rogue members of the collective.

By the final 12-month phase, DICE aims to test simulations involving 100,000 agents and 1 million interactions.

At that scale, DARPA is not simply studying better chatbots working together. The agency is exploring whether collective intelligence itself can become a military capability.

One example described in the solicitation imagines AI agents conducting operational planning across an entire conflict ecosystem. Some agents could negotiate for raw materials in contested areas. Others might manage supply chains, optimize manufacturing, deploy units, conduct battle management, or analyze post-battle damage.

Even an individual simulated drone could effectively become a miniature AI collective composed of separate navigation, perception, and networking agents.

Under the DICE concept, those capabilities may potentially be recombined as conditions change. DARPA offers the example of a surveillance drone being repurposed as a network router because the collective recognizes an emerging communications need.

The important distinction is that no central planner necessarily has to foresee that solution. The collective discovers it.

Still, DARPA is careful to note that DICE is a research program centered on simulation. The agency’s public program page explicitly states that its scope does not include developing or launching autonomous systems in the real world.

Instead, DICE will use Department of War-relevant simulated environments to measure whether decentralized AI collectives can outperform today’s centrally orchestrated systems. Those simulations may resemble extraordinarily large and complicated strategy games.

DARPA suggests researchers could draw inspiration from StarCraft or massively multiplayer online role-playing games, although the environments must remain relevant to military problems. High-fidelity physics is not necessarily required. In fact, rendering every drone, vehicle, or battlefield interaction in photorealistic detail could make a simulation of 100,000 AI agents computationally impossible.

The focus is on reasoning. DARPA wants to know whether thousands of AI agents can gather and combine fragmented information without simply reinforcing one another’s incorrect assumptions. The systems will be tested on their ability to recognize deception, isolate compromised agents, adapt when communications fail, and remain focused on a mission across thousands of reasoning steps.

Perhaps most importantly, DICE is designed to examine how these massive AI collectives behave when their interactions yield outcomes their designers never anticipated.

DARPA explicitly wants its test environments to provoke emergent collaboration, competition, and even collusion.

During later phases, DICE teams will face one another in simulated “team vs team playoffs.” The second phase will culminate in a competition used to select which research teams advance. The final phase will feature another head-to-head competition after the systems have been pushed toward full scale.

By Phase 3, the program will bring in another significant complication: AI agents creating other AI agents. That progression draws attention to the deeper tension at the center of DICE.

For years, much of the AI safety debate has focused on preventing autonomous systems from exhibiting unforeseen behavior. DARPA is approaching the problem from a different direction. The agency appears to believe that, in future contested environments, some degree of unforeseen behavior may be precisely what gives an AI collective its value.

A perfectly scripted system is predictable not only to its commanders but potentially to an adversary.

DICE is therefore attempting something considerably more ambitious than building a larger multi-agent AI framework. DARPA wants to understand whether engineers can deliberately cultivate emergent machine intelligence, allow it enough freedom to improvise, and still build controls capable of keeping an enormous AI collective aligned with a human-defined mission.

Whether those competing demands can coexist remains an open question. The program’s own solicitation repeatedly acknowledges the possibility of role drift, deceptive agents, collusion, compromised systems, and AI agents independently developing misaligned actions.

Ultimately, those are not side issues. They are the fundamental questions the DICE program was created to answer.

“DICE is built for such autonomy-powered, high-tempo battlespace,” the solicitation notice reads. “It is a future where success is measured by the relentless, creative ability of an autonomous collective to execute missions in the face of chaos and uncertainty. This is a profound and necessary departure from the past.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

The Space Development Agency awarded the companies a combined $1.75 billion for next batch of missile-tracking satellites

The post L3Harris, Sierra Space to build 36 satellites to expand U.S. missile-tracking network appeared first on SpaceNews.

Development in space is gaining serious momentum. Impressively, NASA recently unveiled plans for a new moon base — the first concrete step toward permanently moving human civilization off Earth. However, as we […]

The post Getting ready for lunar planetary defense appeared first on SpaceNews.

A new study favors buried explosions over Hollywood-style head-on impacts.

For many years, scientists have been tracking even the tiniest fragments of space debris orbiting our planet to keep tabs on whether these small leftovers from decades of spaceflight might become a problem, whether for astronauts or for populations here on Earth.

Now, in new research, scientists say they have uncovered dozens of previously undetected fragments of space debris orbiting high above Earth, revealing a hidden population of tiny objects that some liken to a “potential minefield” in space that could pose a growing hazard to some of the world’s most important satellites.

The findings, published in the Journal of the Astronautical Sciences, were carried out by an international team led by researchers at the University of Warwick, who found 25 faint objects in geosynchronous orbit—roughly 36,000 kilometers (22,400 miles) above Earth’s equator.

Close to 80 percent of these newly detected objects had been absent from catalogs available to the public that track such debris, meaning that there could be even more unrecognized leftovers from past space missions circling the Earth than experts realize.

A Problem in Geosynchronous Orbit

Home to a steadily growing number of satellites that we rely on daily for activities here on Earth, geosynchronous orbit is where satellites that govern communication systems, television broadcasting, weather forecasting, and environmental monitoring all reside.

Objects at this altitude remain synchronized with our planet’s rotation, which means that they inhabit what is considered some of the most valuable real estate in space around the Earth.

“Pieces of space junk can be moving very quickly relative to one another, as much as several kilometers every second,” says Dr. James Blake of the University of Warwick’s Centre for Space Domain Awareness, who served as the new study’s lead author. “The energies involved are really high, and even small debris can cause a lot of damage to very expensive satellites, so small things really matter.”

Archival Imagery Reveals New Concerns

Blake and his colleagues didn’t have to collect new observations to make these discoveries: they were able to discover evidence of undocumented orbital debris simply by looking at archival images obtained by the 2.54-meter Isaac Newton Telescope in the Canary Islands.

Offering a new perspective on these archival photos, the team employed a new image processing technique known as “blind stacking,” along with advanced image-processing algorithms, to detect fragments in orbit as small as five centimeters. The detections were significant, as they are now counted among the faintest examples of debris ever observed in geosynchronous orbit.

Naturally, a question arises: how many more examples of tiny debris might be lurking up there?

Tiny Tumbling Troublemakers in Space

Additional analysis of the brightness of these objects revealed another concerning reality: based on variances in the light they reflect, it was evident that many of these objects are tumbling as they make their way through space.

The team’s findings offer a wakeup call in terms of just how much undetected debris may be drifting—or even tumbling—through geosynchronous orbit. However, there is also a positive side to the situation: the team’s discoveries also showcase our growing ability to make such detections if we know how to look for such minuscule objects.

Still, the findings underscore the challenges presented by monitoring orbital debris in a space above the Earth where such materials could potentially linger for centuries, since atmospheric drag in this region of orbit is essentially nonexistent.

“The debris in the neighborhood of the geostationary belt is a potential minefield,” said co-author Dr. Stuart Eves of SJE Space Ltd. “No one in their right mind would enter a terrestrial minefield without a mine detector. Similarly, no one in their right mind should launch a satellite to GEO without an adequate debris survey.”

A Call for International Collaboration

With the project’s reach beyond Europe to include collaboration with researchers in Australia and Japan, the team says that international cooperation will be necessary to track potentially dangerous orbital debris—especially as more and more satellites are being placed in orbit above the Earth.

Increasingly sensitive surveys will be essential for understanding and mitigating the risks posed by even the smallest fragments of space junk, the team says.

“There are a finite number of orbital slots in the GEO belt,” Blake adds, “so it’s important that we know how much debris is out there, how it behaves, what risks are posed to the active satellites we rely on. Surveys for faint debris help us build a clearer picture.”

The team’s findings were detailed in a new study, “DebrisWatch II: Digging Deeper for Geosynchronous Debris,” which appeared in The Journal of the Astronautical Sciences.

Micah Hanks is the Editor-in-Chief and Co-Founder of The Debrief. A longtime reporter on science, defense, and technology with a focus on space and astronomy, he can be reached at micah@thedebrief.org. Follow him on X @MicahHanks, and at micahhanks.com.

When you think of an asteroid impact, you’re probably imagining something like the cataclysmic event that nearly wiped out the dinosaurs. In an astonishingly rare event, a rock the size of the island of Manhattan could come hurtling from deep space towards Earth and destroy the world.

On the contrary, asteroids are generally leftover debris from the primordial solar system that didn’t become part of a larger body, like a planet or moon, and they’re not particularly rare. Scientists estimate that there are about 1 billion asteroids and comets classified as near-Earth objects, or NEOs. NEOs are generally much smaller than the asteroid that killed the dinosaurs. They range from weakly held-together piles of rubble 200 meters (700 feet) across, to the minuscule 2024 BX1, approximately 44 centimeters (17 inches) across. 

For several decades, astronomical surveys of the sky have looked for these asteroids. NASA’s Center for Near-Earth Object Studies (CNEOS) Fireball and Bolide Database has records of over 1,000 incidents of objects colliding with our planet since the mid-1990s. Among these is a set of 11 objects that scientists detected before they hit Earth, known as imminent impactors. Finding imminent impactors allows scientists unique opportunities to study the smallest building blocks of the solar system, enabling them to learn more about asteroid composition, structure, and history.

A team of scientists recently conducted a study on how the newly built Vera Rubin Observatory could detect more imminent impactors before they strike Earth. They examined the CNEOS Fireball and Bolide Database impact records spanning February 1, 1994, to January 1, 2026, for records of the asteroids’ coordinates, velocities, and the energy they released at the time of collision. 

They found that 343 NEOs met this criterion, including 5 known imminent impactors. Using these recorded data, they reconstructed the objects’ pre-impact characteristics. The team predicted the asteroids’ orbital paths from the recorded coordinates and velocity. Assuming the objects were spherical, they estimated the size from velocity and impact energy. From this information about the asteroids’ state before impact, the team could then simulate whether the Rubin Observatory would have detected them. 

When small asteroids hit Earth, they mostly burn up in the atmosphere, producing a bright flash that is relatively easy to spot compared to when they are in space. The Rubin Observatory can see objects up to 10 billion times dimmer than the brightest star in the night sky, Sirius. To predict if the Rubin Observatory can detect dim NEOs, the team used the solar system simulator SORCHA. SORCHA takes an observatory’s specifications and the physical properties of the NEOs and uses these to determine whether the observatory could detect them. It also estimates the measured sizes and speeds of the NEOs, and predicts when the observatory would have seen them. 

At the Rubin Observatory, an imminent impactor is considered discovered if it’s observed at least 3 separate times over 15 days before hitting Earth. So this team applied this same criterion to their simulation. They found that of their 343 impactors, SORCHA estimated that the Rubin Observatory would have discovered 14 of them before impact. 

They also found that SORCHA predicted 4 additional impactors that could have been observed at least once, potentially allowing scientists to search other telescope data for evidence of their existence in pre-collision images. Based on these results, the team estimated that the Rubin Observatory could find 4% of all objects longer than 1 meter (3 feet) before they hit Earth. This percentage of discovery translates to 1 to 2 imminent impactors detected every year, at least double their current discovery rate.

The ability to more consistently find imminent impactors would allow researchers to study the smallest pieces of the solar system in detail and to draw general conclusions about the properties of objects that could potentially collide with Earth. This would also allow scientists to more accurately calculate the orbits of imminent impactors, determine where more meteorites land to recover them, and keep tabs on the extremely rare but more hazardous large impactors for planetary defense initiatives. So, humanity can learn more about the ancient solar system, and hopefully avoid going the way of the dinosaurs while doing so!

The post How many asteroids can we detect before they hit Earth? appeared first on Sciworthy.

By any historical measure, the human cost of Russia’s invasion of Ukraine has entered unprecedented territory. Now, a new analysis from the Center for Strategic and International Studies (CSIS) estimates that Russia has suffered roughly 1.4 million battlefield casualties, including as many as 450,000 deaths, since launching its full-scale invasion in February 2022.

If accurate, those losses not only dwarf those sustained by the Soviet Union in Afghanistan and Russia’s wars in Chechnya—they exceed the combined military fatalities Russia and the Soviet Union suffered in every conflict since the end of the Second World War.

​More striking, researchers estimate that Russia’s battlefield losses have become increasingly lopsided relative to Ukraine’s, with the casualty ratio climbing from roughly two or three Russian casualties for every Ukrainian casualty during much of the war to nearly eight-to-one during the first half of 2026.

​CSIS estimates Ukraine has suffered between 525,000 and 625,000 battlefield casualties, including between 125,000 and 150,000 fatalities, since Russia’s full-scale invasion began in February 2022. Combined, the report finds, Russian and Ukrainian battlefield casualties have now exceeded 2 million.

​The evidence shows that while Moscow continues to push offensive operations, it is doing so at an increasingly staggering human cost.

The report, Russian Blood and Treasure: The Ballooning Costs of Putin’s War, examines battlefield casualties, fatalities, territorial gains, rates of advance, and more than 20,000 documented Ukrainian strikes against Russian targets.

Rather than relying on anecdotal assessments, the researchers compiled numerous datasets to evaluate how Russia’s military campaign has evolved over more than four years of fighting. Their conclusion: although Russia continues to wage war, its battlefield performance has deteriorated while the costs in manpower have reached historic levels.

“Russian battlefield costs continue to mount, with as many as 450,000 battlefield deaths and 1.4 million casualties between February 2022 and June 2026,” researchers write. “These rates are astounding.”

Those numbers place the war in a category unlike virtually any other conflict fought by a major military power since 1945.

According to the report, Russia’s estimated fatalities in Ukraine are more than four times greater than all U.S. military deaths in every war combined since World War II, including Korea, Vietnam, Iraq, Afghanistan, and the Persian Gulf War.

The report estimates that the United States has suffered approximately 102,000 combat fatalities across every major conflict fought over the past 80 years since World War II. Russia, by comparison, is estimated to have suffered as many as 450,000 battlefield deaths in Ukraine alone in just over four years.

The comparison is even more extraordinary when viewed through Russia’s own military history. The Soviet Union lost an estimated 14,000 to 16,000 troops during its decade-long war in Afghanistan. Russia’s First and Second Chechen Wars claimed between 12,000 and 25,000 military fatalities.

​Even when combined with every other Soviet and Russian military intervention since 1950—including Georgia, Syria, Hungary, Czechoslovakia, and earlier fighting in Ukraine before 2022—the total remains dramatically below the losses estimated in the current war.

​According to the CSIS analysis, Russian battlefield deaths in Ukraine are now more than nine times greater than all Soviet and Russian military fatalities in other conflicts since World War II combined.

Significantly, the casualty imbalance between Russia and Ukraine continues to widen.

For much of the conflict, researchers estimate Russia suffered between two and three casualties for every Ukrainian casualty. However, by early 2026, that ratio had nearly quadrupled to approximately 8:1, reflecting mounting Russian losses while Ukraine increasingly leveraged defensive positions and new technologies to inflict disproportionate damage.

​Combined, both sides have now endured more than two million casualties, underscoring the extraordinary scale of Europe’s largest land war since World War II.

The report identifies several reasons for Russia’s escalating losses. Russian commanders have increasingly relied on attritional tactics that send small, often poorly trained infantry squads forward to probe Ukrainian positions, supported by artillery, glide bombs, first-person-view drones, and armored vehicles.

If Ukrainian defenders reveal their positions by opening fire, those locations are identified, mapped, and then targeted with artillery, FPV drones, and glide bombs before additional Russian forces press the attack.

According to the report, the strategy has inflicted staggering casualties while producing only incremental territorial gains.

Ukraine, meanwhile, has spent years constructing dense defensive belts consisting of trenches, minefields, anti-tank obstacles known as “dragon’s teeth,” artillery positions, and increasingly sophisticated drone networks.

​According to the report, the battlefield has effectively become a vast “kill zone” stretching roughly 12 to 25 miles from the front, where soldiers and vehicles are under near-constant surveillance from drones capable of detecting and directing attacks against almost any movement.

​Estimates cited in the report suggest that more than 90 percent of Russian casualties may now result from drone attacks rather than traditional infantry engagements, showing how unmanned systems have radically changed the battlefield.

​AI-enabled drones capable of autonomous target identification and terminal guidance provide further increased Ukraine’s defensive advantages while reducing the effectiveness of Russian electronic warfare.

Critically, this tremendous human cost has not translated into rapid military gains.

CSIS found that Russian offensives around key cities such as Kostiantynivka, Pokrovsk, and Sloviansk have advanced at average rates of only about 55 to 100 yards per day—roughly half the length of a football field on a good day and among the slowest offensive rates recorded in modern warfare.

​The researchers compare these advances to the infamous Battle of the Somme during World War I, one of history’s most attritional campaigns, while noting that Russia’s early invasion advances in 2022 moved between 30 and 100 times faster than current operations.

Perhaps even more telling, the report notes that Russia’s territorial gains have begun moving in the opposite direction. After years of incremental advances, Russian-controlled territory actually shrank during April and May 2026, marking the first monthly net territorial losses since 2024. Ukrainian counteroffensives reclaimed roughly 155 square miles during the spring, suggesting Russia’s immense expenditure of manpower is producing diminishing strategic returns.

The staggering casualty figures raise questions about Russia’s ability to sustain its current strategy indefinitely.

Researchers estimate Russia is currently suffering between 30,000 and 34,000 battlefield casualties each month, while recruiting roughly 27,000 new soldiers monthly. If those estimates are accurate, Moscow may now be losing personnel faster than it can replace them, continuing to strain an already strained wartime economy.

Despite these staggering losses, the report concludes that neither side appears close to military collapse. Russia retains considerable manpower reserves and continues operating a wartime economy capable of sustaining prolonged combat.

In a June 28 speech to the ruling United Russia Party Congress, Russian President Vladimir Putin sought to project strength, insisting that Russia had the resources, political will, and national unity needed to pursue the war. He also rejected the idea that Western pressure could force a strategic defeat, claiming Ukrainian forces were retreating across the front, and framing Russian victory as equally inevitable and essential to the country’s core interests.

Ukraine, meanwhile, has demonstrated an ability to impose disproportionate costs through defensive tactics, long-range strikes, and rapidly evolving drone technologies that continue to reshape modern warfare.

Ultimately, this suggests the war remains locked in a brutal contest of attrition with no clear military end in sight. Although both sides continue adapting their tactics and technologies, neither has demonstrated the ability to achieve a decisive breakthrough.

As long as the conflict continues under these conditions, the report suggests the human toll—already unprecedented in post-World War II Europe—is likely to continue climbing, with both Russia and Ukraine facing the prospect of hundreds of thousands more casualties before the fighting ultimately ends.

“The war in Ukraine heavily favors the defender, a dynamic that has frustrated Russian offensives but also constrained Ukrainian counterattacks,” researchers write. “As the data in this analysis shows, Russia’s progress on the battlefield has been historically poor, with Russian casualties, fatalities, and average rates of advance among the worst of any major power in any war since World War II.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

Welcome to this edition of The Intelligence Brief… This week, the Pentagon announced a major milestone in the development of President Trump’s proposed Golden Dome missile defense system after successfully testing a next-generation directed-energy weapon capable of intercepting drones and cruise missiles. In our analysis, we’ll be looking at 1) what the Pentagon revealed about the new directed-energy technology, 2) how the Golden Dome aims to defend against ballistic, cruise, and hypersonic missile threats, 3) why the program has drawn comparisons to Ronald Reagan’s “Star Wars” initiative, and 4) the growing debate over what could become one of the most expensive defense projects in U.S. history.

“With Golden Dome, the War Department will defend our homeland more powerfully than ever before. Golden Dome is real, powerful, and on track.”

– U.S. Secretary of War Pete Hegseth

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Golden Dome Advances with Deployment of New Counter-Missile Capability

This week, it was revealed that the Pentagon has made significant strides with the development of its proposed Golden Dome missile defense system, with tests involving a next-generation directed-energy weapon.

Capable of destroying incoming drones and cruise missiles, the weapon has been characterized as a major step toward strengthening America’s future air and missile defense capabilities.

Planned as a multi-layer missile defense system that aims to be operational by the end of President Trump’s term, the Golden Dome aspires to be capable of spotting and destroying a range of missile threats, including ballistic, hypersonic, and cruise missiles.

With the deployment of the new directed-energy weapon this week, the Pentagon has now implemented the first use of next-generation technology that U.S. officials say will lead the way in redefining America’s future air and missile defenses.

The Pentagon’s New Directed-Energy Weapon

In a statement, U.S. Secretary of War Pete Hegseth called the recent test a “first milestone test” for the Golden Dome system.

“Cutting edge directed energy was harnessed and the Dynamic Defense Autonomous Defeat (DDAD) system flawlessly and autonomously cued, targeted, and eliminated a multitude of incoming threats,” Hegseth’s statement read. “This test was executed on schedule — and dynamically defeated every threat.”

Hegesth, who said he was present for the demonstration, “watched our elite warfighters integrate with next-generation technology to stop incoming drones and cruise missiles dead in their tracks,” crediting the advancement to Trump’s One Big Beautiful Bill, a sweeping legislative package put forward in an effort to solidify the permanence of the 2017 Tax Cuts and Jobs Act, along with enacting various other Trump administration priorities.

Hegseth said the legislation provided “the funding to deliver on the ultimate shield to protect America,” and builds on the efforts of former U.S. President Ronald Reagan’s Strategic Defense Initiative (SDI).

Few Technical Details Available

While the Pentagon did not provide technical details about the new system, Hegseth refers to the new weapon as “cutting edge directed energy” technology.

For several years, the Pentagon has been developing directed-energy systems for use in the interception of unmanned aerial vehicles and cruise missiles, with Israel previously reporting operational use of prototype laser capabilities as well.

America’s Golden Dome is partly inspired by Israel’s Iron Dome, although the U.S. counterpart’s design will aim to defend America against longer-range missile attacks—a key element which has encouraged comparisons to Reagan’s SDI.

Unprecedented Expense

The project also carries a large price tag. Presently, the Congressional Budget Office estimates that the initiative could cost as much as $1.2 trillion—an amount nearing the total requested $1.5 trillion defense budget for fiscal year 2027, making it one of the most expensive defense initiatives in U.S. history.

The high cost of the initiative is also impacted by the recent costs associated with the U.S. conflict with Iran, which, by some estimates, could exceed $200 billion. Additionally, a recent controversial memorandum of understanding aiming to halt the conflict agrees to supply $300 billion to Iran, which, as noted by some analysts, is an amount that exceeds the current Iranian defense budget by well over a dozen times.

On Wednesday, the U.S. Senate voted 47-50-1 to block a war powers resolution led by Sen. Tim Kaine that sought to limit President Trump’s authority to conduct military operations against Iran.

Although the measure narrowly advanced in an earlier procedural vote, a surprise upset resulted in a loss of support after Republican Sens. Bill Cassidy and Rand Paul changed their positions. The latest vote came just hours after a heated exchange between Trump and Cassidy, during which Cassidy challenged the president over the duration and objectives of the conflict with Iran.

Many have expressed concerns over the unprecedented U.S. defense spending under the current administration, including U.S. Senator Merkley (D-Oregon), Ranking Member of the U.S. Committee on the Budget, who rebuked a recent addition that asks Congress to spend an additional $88 billion in the form of a supplemental request.

“Padding the pockets of their defense contractor friends does nothing to help Americans get ahead,” Merkley said on Wednesday.

That concludes this week’s installment of The Intelligence Brief. You can read past editions of our newsletter at our website, or if you found this installment online, don’t forget to subscribe and get future email editions from us here. Also, if you have a tip or other information you’d like to send along directly to me, you can email me at micah [@] thedebrief [dot] org, or reach me on X: @MicahHanks.

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