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00:02February 27th, 2026.
00:05Donald Trump's war room.
00:08At 3.38 Eastern time, the president orders a strike on Iran.
00:14As dawn crept up across the Central Command AOR,
00:18the sky surged to light.
00:21More than 100 aircraft launched from land, sea.
00:25Fighters, tankers, airborne early warning, electronic attack.
00:29Bombers from the states and unmanned platforms
00:33forming a single synchronized wave.
00:38The attackers send back positions, images and radio signals.
00:46Which are instantly processed and analyzed by artificial intelligence.
00:54Within hours, Iran's supreme leader, Ayatollah Aliyah Khamenei,
00:59is killed by an Israeli strike.
01:04The United States and its partners have launched Operation Epic Fury.
01:10One of the largest, most complex, most overwhelming military offensives
01:16the world has ever seen.
01:18Nobody's seen anything like it.
01:21There's never been a military like we possess.
01:25And frankly, there's nobody even close.
01:28But we are now using that military for good.
01:32The strike against Khamenei was successful because the Israelis knew exactly where to find him.
01:38In the preceding months, artificial intelligence had also been deployed
01:43to analyze vast troves of satellite, signals and human intelligence.
01:48The strikes against Iran and before that Venezuela are just the latest and most vivid demonstration
01:55of how we're in the midst of a once in a generation transformation of the technology of war.
02:02is an inflection point.
02:04It's going to change our processes.
02:05It's going to change the way we fight our operating systems.
02:08So you're watching all that play out.
02:10And whoever figures it out first will have an advantage.
02:14This is about winning, right? Winning.
02:17We can't forget our job is to win.
02:20The transformation has been building for decades as computers became more powerful,
02:26giving rise to AI.
02:29And more compact, allowing for swarms of lethal drones.
02:36This is a film about the development of these new war machines
02:39and how they're already being used by Israel, Ukraine and by the United States.
02:47The most important thing is to ensure that we in the West, broadly defined,
02:52have the most powerful versions of this technology and continue to do so.
02:57Will this new technology make war more precise?
03:01Reducing collateral damage and even preventing conflict altogether by deterrence?
03:08Or might it simply make wars cheaper, more frequent and ever more brutal?
03:14When you rely on AI, you need less people to ground you.
03:18And people can tell themselves a beautiful story on the most precise war ever.
03:25And they don't have to speak to anyone that will face them with the fact that they're just killing families
03:30and with no actual solution in the near future.
03:51Bavaria, southern Germany.
03:567,000 US and NATO troops are preparing to act in case Russia invades a NATO country.
04:06They're racing to learn how to use this new technology on the battlefield.
04:111, 2, 9, 9, 0.
04:131, 2, 9, 9, 0.
04:161, 2, 9, 9, 0.
04:23This is the headquarters of an army formation of about a thousand soldiers.
04:28To .
04:282, 9, 0, 4, 10, 0.
04:30Sir, there is no change to combat power, location, or arrayment of our forces?
04:36There he is.
04:36All right, cool.
04:37Let's have a lock-type plan to get all our replacements and our vehicles out to the front.
04:43Ten miles away, more NATO troops acting as an advancing enemy.
04:50The big picture of what we're doing here is we're exercising our brigades
04:54and our battalion's ability to do a combined arms fight against an enemy
04:58that has near or peer threats against us.
05:02We're starting to see the indicators and warnings that the enemy is about to try to breach,
05:06break through our lines using assault, maneuver, fires.
05:20You are experiencing gas non-persistent for four-hour duration.
05:27We have a chemical attack, so I mean, hey, uh, tape, I need tape, I need tape out.
05:31If you look at any of the exercises, any of the experimentation that we're doing,
05:35clearly it's leading to make sure that we have the right capability,
05:39in particular along the eastern flag.
05:47This is the command center for NATO and the U.S. Army.
05:51Any land war against Russia will be orchestrated from here.
05:56The commanding general is Chris Donoghue.
05:59He led much of the technological innovation in the U.S. Army
06:03and is now in charge of all U.S. soldiers in Europe.
06:07It's our job to make sure that Europe and everyone that's part of Europe
06:12remains safe, remains secure,
06:15and that we live up to what NATO expects us all to do.
06:19Donoghue was an early adopter of the idea that wars can be won or lost
06:24not only because of the strength of the armies,
06:26but also because of how much information can be gathered and analysed.
06:31If you can truly harness the right data, have the right processes,
06:36you can really come up with a distinct advantage.
06:38And what is that advantage?
06:40You have to out-think, out-decide, out-act,
06:44and then do that multiple times.
06:49What's innovative is that this command centre
06:51has access to all information from the battlefield
06:54through a single network of computers, called MAVEN,
06:58that supports all U.S. and NATO operations.
07:03On MSS, put something on there, keep people out of Hawk Hill.
07:09These screens deliver the picture through MAVEN smart systems,
07:13which takes in multiple different streams of data.
07:16that operators are looking at and analysing and giving me
07:20the recommendations or their understanding
07:23of what they've seen on the battlefield.
07:26I think the first thing with MAVEN smart systems is
07:29it gives us the ability to take classified of all type,
07:34unclassified, and then commercial data,
07:36and you can aggregate it all together
07:38to help you make all the decisions that you have to in warfare.
07:45Underpinning MAVEN is artificial intelligence.
07:49MAVEN smart systems is a battle command system tool.
07:53We're starting now to use a lot of different machine learning
07:55or computer vision models to help,
07:58especially with imagery or videos.
08:01For example, you can have a computer vision model
08:05that's looking specifically for tanks.
08:08To do that, you have to take thousands of images of tanks
08:11and you train the model to look for those.
08:14So what you do is you take a picture of a tank
08:17and you draw a box around the tank
08:19and you tell the computer, this is a tank.
08:21And you do that a thousand times.
08:24Now, when you feed an image to that model,
08:27it's going to tell you, yes, this is a tank, or no, it's not.
08:31Once the computer has flagged an image where it suspects,
08:35it's detected a tank, for instance,
08:37we don't just action that immediately, right?
08:40That's when we would take it to our human analyst and say,
08:42hey, can you confirm or deny that this was properly classified?
08:46What the AI is doing, it's not replacing the human,
08:49but it's enabling them to do their job faster
08:51so we can process more and more data
08:53and identify targets quicker and solve problems faster.
08:57Five, five, nine, zero, seven.
09:00It's a BMP stationary, over.
09:02AI is helping glean what's important,
09:05what's useful, what's not useful.
09:07So I can, say, friendly or foe, or target or not.
09:12The enemy has the same capability, so I have to be quicker.
09:15I have to be faster.
09:17Otherwise, I'm at risk for becoming that target.
09:25The revolution in how wars are forward
09:27has come about not only with the processing of data,
09:31but also with small unmanned vehicles, drones.
09:40So this drone, descend up.
09:43This is your eyes in the sky.
09:44It's going to detect everybody around you.
09:46Early warning to see what's going on on the battlefield.
09:50And in addition, FPV, first-person-view drones,
09:55can carry bombs.
09:57The FPV drones, that's your strike drone.
10:00That's what's going to take everything out.
10:01Okay, I think they're about to launch.
10:10Two BMPs, like, 200 meters for a month.
10:13You can hear them driving.
10:14The battlefield makes me move quicker
10:17and understand quicker and make decisions quicker.
10:22I hit the rear BMP.
10:25Add one to the scoreboard.
10:27The enemy is currently moving about a click every two minutes over.
10:33I just spotted a vehicle in the wood line.
10:36What's the grid?
10:37What you see is now a completely digitally data-driven unit
10:42that had all these new forms of mass, drones, unmanned systems,
10:47in there to make them as able to find the enemy,
10:51hide from the enemy, see the enemy, and kill the enemy.
10:54Artillery, in time.
11:01This year, Sergeant Cole has noticed
11:04that the Ukrainians are also putting AI into drones
11:08so they can fly themselves to targets.
11:12It's just absolutely insane what they're doing.
11:15The targeting software, it'll detect, like,
11:18that's a person, that's a truck.
11:19The hard part is to program it to actually fly on its own
11:23and then hit something.
11:24You know, that comes in with, like, morals and ethics,
11:28like, do we want something to decide on its own to kill something?
11:33What's your view of that?
11:35I mean,
11:39if it flies completely autonomously and kills stuff,
11:43I don't necessarily agree with it.
11:47Completely autonomous drones flying around, killing people,
11:50that's just insanity.
11:52That's stuff out of nightmares.
11:55I've got to come land.
11:58Go ahead.
11:59It's anyone's guess how these technologies play out in future wars.
12:04But clues already exist in Israel and Ukraine,
12:08where the technology is already in use.
12:17The trajectory of this new war machine begins in about 2016,
12:22when the technology of war was limited mostly to hardware,
12:27like aircraft carriers, artillery and tanks.
12:33But already there were experiments in data processing,
12:38especially in Israel,
12:40a nation that promoted itself as a tech superpower.
12:45Today, our biggest export is technology.
12:49Israeli technology, which powers the world's computers, cell phones, cars and so much more.
12:56The future belongs to those who innovate.
12:59And this is why the future belongs to countries like Israel.
13:03The future belongs to Israel.
13:04The future belongs to Israel.
13:06Nearly 50 years after Israel's occupation of the West Bank and Gaza,
13:11some Palestinians, hemmed in by the newly built separation wall,
13:16turned to lone wolf attacks.
13:20A short while ago, here at the central bus station in Jerusalem,
13:24one terrorist carried out an attack against a security guard that was stabbed.
13:27At just outside the entrance, at the moment, the area is still closed off.
13:31We've confirmed it was a terrorist attack.
13:34These attacks were different to the previous waves,
13:38as they weren't organised by a militia organisation.
13:42Instead, single Palestinians skirted round the security controls.
13:50You just had lone individuals, usually very young.
13:53These people usually just took a knife or even a screwdriver
13:56to attack soldiers in checkpoints
13:58or just suddenly batting people on the street
14:02or driving cars into people.
14:06The challenge was to try to figure out
14:08who's the random person that will wake up today,
14:11pick up a knife and stab someone.
14:16These witnesses are intelligence analysts
14:19who were called up to work for the Israeli army.
14:23They don't want to reveal their identities
14:25and their voices have been digitally altered.
14:29Their job was to monitor security threats in the West Bank.
14:33I was recruited to the army in the late 20 turns.
14:38In the theoretical framework that I worked under,
14:42every Palestinian is a suspect.
14:46When I joined the army,
14:47it was in the midst of a technological transformation,
14:52of trying to adopt new technologies.
14:57Israel had a special advantage in tracking the threat.
15:01It controlled Palestinian communications.
15:06Israel is basically unlimited data,
15:09because all stellar data of the West Bank
15:13goes through Israeli technological centers.
15:18The whole network is basically in Israel's hands.
15:22All phone calls that are being made
15:25through the regular network in the West Bank and Gaza,
15:28they would all go to a big database,
15:32sort of archive.
15:38These low-North attacks,
15:40they naturally encouraged the army
15:42to think in terms of big data.
15:45The traditional approach of just, you know,
15:47trying to infiltrate a terrorist organization,
15:50this wouldn't really work for people
15:52to just spontaneously decide to attack Israelis.
15:57At first, Israel tried simple word search
16:00to catch lone wolf militants before they attacked.
16:04We were really doing the first steps
16:07of, for example, working with telephone calls
16:10on how to identify a relevant telephone call
16:13according to keyboards.
16:17They kind of figured out
16:19that many people who've gone these long wolf things
16:21send text message, basically.
16:24Beforehand, some kind of declaration of intent.
16:29Certain words, whenever they are reported in the system,
16:33these words would jigger some sort of alarm.
16:38But soon they experimented with data patterns
16:41that would predict who might merely be tempted
16:44to become a radical.
16:47We want to create a usable data set of possible terrorists.
16:51So the general method to do it
16:54is specify as many attributes as we can.
16:58So age, gender,
17:01and try to find patterns in the data
17:04that can be used to squeeze it.
17:08Thousands of individual Palestinians
17:10were categorized by dozens of attributes
17:14and every attribute was given a value.
17:17A computer then calculated
17:19how likely each person was to turn violent.
17:24The initial algorithms created grades
17:27as to predictability to be terrorist for one to ten.
17:35You're a 7.8 terrorist,
17:38and here's the group of potential terrorists.
17:40Now let's surveil them on a daily basis
17:43to see which of them is actually planning to do terror.
17:51At some point, these attacks are reduced significantly.
17:57It was pretty efficient.
17:59I remember that I was almost shocked
18:02to see how efficient it was.
18:04They did feeling quite emboldened by this.
18:27Although Israel's military leadership was convinced
18:31that the decline in attacks was due to prediction technology,
18:35human rights groups reckoned the waves of violence
18:39had always ebbed and flowed.
18:42And they accused Israel of an egregious invasion
18:46of the privacy of millions of Palestinians.
18:52To me, it was very clear that this total control
18:55is precisely what enables the political process to be frozen.
19:00Clearly, if we have that total control,
19:03then there's no motivation to change anything.
19:07We really thought that technology
19:09has solved most of our problems.
19:12While Israel concentrated more of its intelligence resources
19:16on technology, they neglected the role of human sources,
19:20particularly in the Gaza Strip.
19:24This had been an essential part
19:27of Israeli intelligence in the past.
19:30And it would prove to be a catastrophic error
19:33in the lead-up to the Hamas attack
19:35of October 7th, 2023.
19:38Hello, my goodness! Hello!
19:48The next chapter in the story of warfare technology
19:52began when Russian tanks rolled into Ukraine in February 2022.
19:59Ladies and gentlemen of Ukraine,
20:02Ladies and gentlemen of Ukraine,
20:02Ladies and gentlemen,
20:02President Putin took a special military operation on Donbass.
20:07Russia made attacks on our military infrastructure
20:10and on our borderline lines, borderline lines.
20:20This is a country-aggressor, this is a country-parasit.
20:22Russia is evil.
20:28The odds were stacked against Ukraine,
20:31who had 250,000 soldiers,
20:34but stood against an army of about a million.
21:14The challenge that Zelenskyy had in fighting back was working out which Russian targets
21:20to hit.
21:23From the command center in Germany, NATO offered assistance in the form of Maven Smart Systems,
21:31though the US military won't talk about what help was given.
21:36But the technology behind Maven Smart Systems was created by a controversial company called
21:43Palantir.
21:45Their CEO was and is a maverick skier called Alex Karp.
21:52Here he is, speaking to investors in the early months of the Ukraine war.
21:57Palantir, for example, we are a company to thrive in good times and we thrive in bad times.
22:07We are going to continue supplying the world's most important products to the most interesting,
22:11creative and effectual people in the world.
22:13Palantir's products are on the absolute front line and you see them in the news every day.
22:19Palantir's early investor was the CIA.
22:21And they have contracts with global national security organizations, including US immigration.
22:28Their next customer was to be Zelenskyy.
22:31The invitation came from the Ukrainians.
22:34The invitation came from the Ukrainians.
22:34So Alex Karp, our chief executive and founder, and I traveled to Kyiv May, June of 2022.
22:44I remember we woke up very early in Sheshoff on the Polish side of the border.
22:50You know, it was dawn at 4 a.m. and set off on a very long car journey across that
22:56eastern border of Poland into Ukraine and then eight hours on the road to Kyiv.
23:06We turned up at the appointed place to meet Zelenskyy.
23:10What was extraordinary about that meeting was frankly how lively he was.
23:14He was very funny.
23:15He was cracking jokes.
23:17And I mean, I guess I know he's a comedian, but still that was a very surprising and unexpected thing.
23:22You know, there was a couple of times he had us in stitches.
23:26I think Zelenskyy understood that the biggest challenge the Ukrainians faced was one of mass and numbers.
23:32They were outnumbered by the Russians and also outgunned.
23:38They had more armaments, more industrial capacity than Ukrainians did.
23:42And so the only way of correcting that imbalance was with technology.
23:48And Zelenskyy explained that he wanted us to come and help the Ukrainian war effort.
23:52And that he believed that Ukraine was going to be the research and development laboratory for conflict over the coming
24:00years.
24:02So, of course, Alex said yes.
24:04And then it fell to me and others on the Palantir team to turn that into a reality.
24:11We provided them with a software platform called Foundry.
24:14And at its core, it's a data integration platform.
24:18So that's to say it enables our customers to bring together data, information from really any source of any type,
24:27any format, any scale.
24:29Bring that data together, clean it, harmonize it and make it useful.
24:34In military technology terms, in a war like the one that Ukraine faced, there were many, many more targets, many,
24:41many more things to shoot at than they had things to shoot with.
24:45So the big challenge was not precision.
24:48It was prioritization.
24:49And that is a data integration problem.
24:52So at the beginning of the war, for example, there was lots of satellite imagery.
24:56And satellite imagery is very good at telling you where something is.
25:00But it's often very hard to tell what the thing is or why the thing might be important.
25:08So you can identify a barn in a field in Ukraine, but you're not going to be able to tell
25:14from the satellite image that that barn might be the command and control center for an important part of Russian
25:21forces.
25:21And for that, you might need to layer on another kind of data, for example, radio frequencies, signals intelligence.
25:28So if you combine satellite imagery and signals intelligence, you can tell where something is and what it is.
25:35And that allows you to then, with the precision munitions that exist today, destroy it with pinpoint accuracy.
25:46In November 2022, nine months after the war began, ChatGPT burst onto the scene, showcasing the power of a new
25:55technology, large language models.
25:58Palantir and the Ukrainians were quick to harness the underlying technical breakthrough.
26:04So the emergence of large language models in 2022 has a dramatic impact on the battlefield.
26:10If you imagine, there might be thousands or even tens of thousands of different data sources that need to be
26:16monitored at any given time on a battlefield.
26:19And analysts traditionally would have had to review each of those data sources individually and manually.
26:28Large language models, as we all know, can synthesize information very quickly and can draw out important inferences, links or
26:37key points, depending on what you're looking for.
26:40And I think that did play a critical role in those early phases of the war.
26:45Isn't there something difficult about running a company that's speeding up the process of killing people?
26:51Deeply morally complex, and it's something that we wrestle with every day.
26:54But ultimately, I think ensuring that our armed forces have the most effective technology is actually the best way of
27:02preserving peace and therefore saving lives.
27:10But AI wasn't the only technology to take a huge leap forward in Ukraine.
27:17Also fast-tracked was the development of unmanned vehicles.
27:21Two Ukrainian soldiers describe how drones have transformed the battlefield.
27:36They may have started as tools of surveillance, but soon became deadly weapons.
27:49It's already a FPV drone, but with a skid.
27:54He works like a bomber.
27:57He has a turnaround camera.
28:01And skid.
28:02Well, skid is almost like these weapons.
28:11By 2024, each side had more than a million drones.
28:16All right.
28:18Good?
28:22Good!
28:22It's not for a year's sake, that there are about 70% of the drones.
28:50With a range of up to 30 kilometers,
28:53they transformed the front line.
28:56With a range of up to 30 kilometers,
28:57the war has changed very heavily by the range of drones.
29:01Now the technology is not coming to the front line.
29:07The one who is coming to the front line,
29:09is usually very fast.
29:11Our lines and our enemy are greatly increased
29:15due to the fact that almost any drone
29:19gets to the front positions.
29:23Automate! Automate!
29:26Ukraine demonstrated that the fundamental character of war
29:30has changed,
29:31with drones killing hundreds of thousands of soldiers.
29:38Because now, in the middle of every 3-5 minutes,
29:46on the front line,
29:48there is a minimum of one drone.
29:50It's a feeling when they are constantly waiting for you.
29:54It's a moral pressure.
29:56Because you understand,
29:57that wherever you have to go,
29:58and what you have to do,
29:59and soon or later,
30:00they will find you.
30:07Let's go!
30:11These new technologies of AI and drones,
30:15had allowed a smaller army to hold ground,
30:18albeit in a brutal and intractable fight.
30:22But soon these technologies would be used in Gaza,
30:26with devastating consequences.
30:43The next development, in the new war machine,
30:46began when hundreds of Hamas operatives
30:49breached Israel's high-tech border,
30:51at dawn on October the 7th, 2023.
30:57Social media quickly revealed the brutality of the attack.
31:08.
31:21I was in my apartment,
31:23Andrew Zoom,
31:24just me and one of my fat mates.
31:27And I got up in the morning,
31:29from all the sirens.
31:36Like almost every Israeli,
31:38I have family,
31:39closer to the border with Gaza.
31:42And that these moments,
31:43there were actual fear for their lives,
31:44I didn't know what's going on with them.
31:51For me, and I guess for many other people,
31:53it was more like from the collected level of,
31:55you know,
31:55if people like me,
31:57that were attacked,
31:58it could have been me.
32:06In a matter of hours,
32:081,200 Israelis were killed.
32:17251 hostages were taken to Gaza.
32:22The Israeli military and political response was immediate.
32:29The Israeli military and political response was immediate.
32:40I ran in the direction of the sergeant's,
32:43to conduct scandalous
32:45with the military and the enemy's Mend�.
32:53The three intelligence analysts,
32:55who were witness to the tech development around Lone Wolves,
32:59now returned to duty.
33:02Once you arrive over there to the unit, I mean, of course, you sit in front of a computer.
33:06It's not as if you're able to stop the attack from there, but you can feel like, OK, OK, I
33:11do my part.
33:13The whole atmosphere was, like, pretty insane.
33:16And I don't know, no one really knew what they were doing, I suppose.
33:21Like, originally, they kind of thought they could, like, wipe out from us in the...
33:25Because it's true, like, the space of, like, a few days and then we just have, like, so easy wins,
33:29supposedly.
33:30And I get on with our lives.
33:32In the first few days of the war, the biggest tasks were creating what's called targets.
33:40The creation of targets was a challenge because the Israeli government said it followed international law
33:46in which a strike would be prohibited when the expected incidental loss of civilian life
33:52is excessive in relation to the direct military advantage.
33:59There were complaints that there aren't enough targets in the Gaza Strip even before the war.
34:04People high up were very content with the amount of targets that were being produced.
34:08They set up a thing called the target factory.
34:13Then they were like, OK, we just need to make targets.
34:17Just finding locations and finding people, basically, to assassinate.
34:34The Israeli Air Force posted multiple videos of their strikes and the numbers of their targets on their telegram channel.
34:43There was an urge for extreme measures.
34:47So the general belief was that human work will not do to create the number of targets required.
34:55So the convenient solution was to use non-human ways of creating targets, which is namely AI.
35:13It was already clear that we have to bomb as much as we can.
35:19No realistic amount of humans could do this job in this amount of time.
35:24Then, naturally, they turned to machines.
35:29Computers created lists of locations and people that were passed to target rooms.
35:35There, other soldiers checked the targets were correct, assessed the collateral damage.
35:41And it's reported that sometimes they had less than a minute to make this decision.
35:47Early on, it was very clear that anything that has any connection with Hamas,
35:53and that includes also people who are not part of the military wing, but also part of the political wings.
35:58Anyone who has a connection with Hamas is a legitimate target.
36:08We were found in the 4th grade.
36:11In the 4th grade, at the 4th grade, the phone was sent to us, and they didn't know why.
36:18We had no idea why.
36:18We had no idea about my father and my brother, and my brother, and my daughter.
36:24We were the two-year-old.
36:26And my husband was the one-year-old.
36:28And I was the one-year-old.
36:30How did the Israeli army generate so many targets?
36:37In the preceding years, the Israelis had built targeting systems
36:41that had been derived from the software used to prevent lone wolf attacks.
36:50At some point, we were using an AI algorithm
36:54that gets a data set of people who are approved Hamas members
36:58and looks for people with similar attributes
37:02in general data sets of the entire Palestinian population.
37:06There were a number of different systems.
37:08One ascribed a threat probability to any individual between 1 and 100.
37:14Anyone over a threshold of, say, 90, could be targeted.
37:28If your requirement is to kill in numbers,
37:32you want to kill an impressive number of people.
37:36AI can give you theoretically an endless number
37:40as long as you're willing to give up on the precision.
37:45Within three weeks, Israel announced it had attacked 11,000 targets.
37:52And the Gaza Health Ministry, controlled by Hamas,
37:56had reported 8,800 dead and 22,000 injured.
38:03It was perfectly clear that we want this space of targeting
38:08with this level of collateral damage.
38:18But in the end, what drove the high number of casualties
38:22was not technology, but political and military choices.
38:27In the previous rounds of violence,
38:29the number of civilian casualties deemed acceptable by the Israeli military
38:33had been much lower.
38:37A different decision was made for Gaza in 2023.
38:44They have this decision at the source of the war
38:46that you can bomb any commerce operative anywhere he is
38:49and take 20 people along with him.
38:53Basically, assassinating people in the homes
38:55just means that you know that people of the army have killed.
38:59Wives, children...
39:05It's your own basic, he took the licence
39:07to kill a significant number of civilian casualties
39:11along with a target.
39:14Basically, you're like, yeah, he's there, boom.
39:19These intelligence analysts accuse Israel
39:22of allowing collateral damage of 20 civilians for any approved target.
39:27But they go further.
39:29There are actual numbers in Israeli military doctrine
39:33for each level of collateral damage which is allowed.
39:38I think they raised the base level
39:40and then for especially important targets,
39:43it could be even higher.
39:44Yeah.
39:45So there was permission to kill 300 people
39:51with Croatia or with damage.
39:54300 innocent victims for an approved target.
40:07On the 2nd of December, 2023,
40:11the Israelis appear to reinforce the claim.
40:14They launched more than 400 strikes
40:18and one on a housing block in Gaza City
40:21where they said they'd eliminated a Hamas commander
40:25who'd helped plan the October 7th massacre.
40:28But in doing so, the strike had killed
40:30an estimated 300 neighbours.
40:54The
40:54I remember there was this operation
40:56where other innocent people were killed.
40:58I listened to the call beforehand of the guy saying,
41:01yeah I'm in my family home and my whole family are here and I'm worried that we
41:06will get bombed and I finally will die and then I'm right just sitting there
41:11it's like four in the morning waiting for like the fucking planes to bomb
41:16this kind of bureaucratical apparatus takes like the personal responsibility
41:21of people and you don't see the face of people of you like killing you know but
41:27the weird thing is that I did hear these people's voices you know and I was like
41:33it's horrible to say this but you know I heard them crying when the relatives were killed
41:42I think a lot of what technology gives us is that it blurs the reality for us to be able
41:49to not be
41:51completely responsible for what's going on the session was just to bomb and bomb bomb if you
42:00want this space of bombings and still make them look legal let's call it that then you need at
42:07least this tool that and does the combination of data to reach the legal threshold for what is a
42:15legitimate target in this sense of this kind of technology is more of an excuse all three
42:26intelligence analysts are no longer on duty in the Israeli army by January 2026 an Israeli official
42:39briefed newspapers that they agreed there had been more than 70,000 deaths and strikes in the two years
42:48of the war organizations including Amnesty International Bet Salem and parts of the UN now accuse Israel of
42:54committing war crimes by amongst other things the disproportionate attacks on civilians in densely
43:00populated areas whilst Israel strategy was driven by human choices the technology enabled the onslaught
43:09the Israel Defense Force says the IDF does not use an AI system that identifies terrorist operatives or tries
43:17to predict whether a person is a terrorist information systems are merely tools for analysts in the target
43:23identification process the IDF operates in accordance with international law each strike undergoes an
43:30individualized case-by-case assessment evaluating anticipated military advantage against expected incidental
43:37civilian harm proportionality decisions are made based on the information available at the time of
43:43decision and not in hindsight the IDF has also said that the 70,000 deaths figure does not reflect official
43:51IDF data
43:55whatever the lessons of the tactics in Gaza and Ukraine the race for warfare technology shows no sign of
44:03slowing down in January 2026 the US Secretary of War Pete Hegseth was fully committed simply put the United
44:12United States must win the strategic competition for 21st century technological supremacy we must ensure
44:20that America's military AI dominance so that no adversary can exploit that same technology to hold our national
44:28security interests or our citizens at risk America first in every domain in short we will win this race by
44:39becoming an AI first war fighting force across all domains the rest of the world is following suit Western
44:47governments have entered into hefty military contracts with American based technology companies like
44:53Palantir Google Microsoft and Amazon making them ever more dependent on a few corporations for the next
45:00generation of military technology I think it's incredibly important if we want to maintain our way of life if we
45:08want to remain advanced first world economies if we want to keep our value system that we in the West
45:15broadly defined have the dominant militaries we have to maintain that technological advantage and if
45:21we are in an arms race that means we have to win it as drones replace missiles and computers replace
45:29men
45:29it seems that wars have not become cleaner more surgical and quicker if anything the costs in money and
45:37political capital of entering wars has declined and they're likely to become more frequent so now is
45:45the moment for citizens and their governments to decide whether just like for nuclear and biological
45:50weapons we need international agreements to control the new warfare I got to see like the advantages that AI gives
46:01a furious before the rest of the public and there's zero good value given by that it only creates more
46:09dust it only gives opportunity for deadly awards to be fair I really think it's a mistake
46:15it just creates more dust it just creates more doors
46:33more wars
46:34you
46:34you
46:34you
46:35you
46:35you
46:37you
46:37you
46:38you
46:39you
46:39you
46:39you
46:40you
46:40We are the first to use these innovations and the other areas.
46:44We are ready to work.
47:10That's next Friday at 7.30pm here on Channel 4.
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