
satellite imagery analysis at bloomberg news [email protected]
Greater NYC
Joined July 2010
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Krishna Karra retweeted
Wow, it seems that every time I launch a new open-source project, there are always people quick to criticize it. That's fine. Not everyone has to like what I build.
I create tools to solve real problems and pain points I encounter in my own research, teaching, and development workflows. My tools may not always be the most advanced or the fastest, but I strive to make them among the easiest to use.
I don't claim that my projects are perfect, and I welcome constructive criticism and contributions. At the end of the day, I build these tools because I find them useful, and I share them openly in the hope that others might find them useful too.
I'll keep building, learning, and improving. Time will tell whether these projects provide value.
Check out terrio: github.com/opengeos/terrio
Krishna Karra retweeted
This is a chilling long read. AI targeted the school where over 100 children died. Run by Palantir.
Bloomberg just dropped the most disturbing investigation I have read this year, and every AI builder should read it and take it seriously.
On February 28, two Tomahawk missiles hit an elementary school in Minab, a small town in southern Iran. 156 people died. At least 123 were children. The Pentagon knew within hours that it had bombed a school.
The school had its own website. It was labeled on Google Maps. You could see the soccer pitch from a satellite view. You could see the brightly painted walls. Any 12-year-old with a browser could tell what the building was.
The AI system could not.
Inside US Central Command, personnel were using Palantir's Maven Smart System. It is an AI targeting platform running on a $1.3 billion Pentagon contract, and embedded inside it is Anthropic's Claude.
On day one of the war, more than 1,000 targets went through it in 24 hours. Work that used to take a team hours per target got compressed into minutes.
The satellite imagery Maven was pulling from was seven years old. The site was still tagged in the database as an Islamic Revolutionary Guard facility.
The system spat it out as a recommended day-one target. Humans signed off. The first missile flew. Then a second one landed minutes later to hit the people who came to help.
Investigators later found that some Central Command staff had assumed Maven would flag stale intelligence for them. It did not. Nobody had told it to.
Palantir told Bloomberg the government is responsible for the underlying data. The Pentagon's civilian harm mitigation team, the people whose actual job is to catch a target like this, had been cut back before the war started.
This is not AI going rogue. This is the opposite.
This is AI doing exactly what it was built to do at exactly the speed it was built to do it. And a school full of little girls got vaporized because the humans in the loop trusted the machine more than they trusted their own eyes.
I keep thinking about the version of this story that comes next. What happens when the system is faster. When the target list is not 1,000 in a day but 10,000. When "review" becomes a button the operator has three seconds to hit before the next target loads. When there is no human left slow enough to notice that a soccer pitch is not a helipad.
We are not talking about a spam filter mislabeling an email. We are talking about a system that turned a seven-year-old database entry into two cruise missiles landing on children in the middle of a morning class.
A UN-backed panel has now called it a potential war crime.
In terms of children killed, it is the deadliest American targeting error of the entire 21st century. And according to Bloomberg, some of Defense Secretary Hegseth's own advisors are worried that too much public scrutiny of Maven might slow down its adoption inside the Pentagon.
Read that last line again.
If you build this stuff, you own what it does. You do not get to hide behind "the government owns the data." The whole pitch of your product is that speed and integration save lives. When it takes them instead, that is also on you.
I am not against AI in defense. I am against AI in a hurry. Speed is the entire mechanism that made Minab possible. Every guardrail we already know how to build takes time, and time is exactly what the system was designed to eliminate.
So here is the question I have not been able to stop asking, and I genuinely want to know what you think.
If a piece of software helped kill 123 children in a single morning while behaving exactly as designed, what does "responsible AI" even mean anymore?
Krishna Karra retweeted
Palantir and Anthropic targeted Minab school, aided by Pentagon stale data and Hegseth psychopathy stripping target review staff.
And it was a triple tap, not a double tap. Children killed on first strike. Parents killed by second strike getting surviving children. Rescue workers killed by third strike rushing in after second strike.
Unforgivable.
Bloomberg just dropped the most disturbing investigation I have read this year, and every AI builder should read it and take it seriously.
On February 28, two Tomahawk missiles hit an elementary school in Minab, a small town in southern Iran. 156 people died. At least 123 were children. The Pentagon knew within hours that it had bombed a school.
The school had its own website. It was labeled on Google Maps. You could see the soccer pitch from a satellite view. You could see the brightly painted walls. Any 12-year-old with a browser could tell what the building was.
The AI system could not.
Inside US Central Command, personnel were using Palantir's Maven Smart System. It is an AI targeting platform running on a $1.3 billion Pentagon contract, and embedded inside it is Anthropic's Claude.
On day one of the war, more than 1,000 targets went through it in 24 hours. Work that used to take a team hours per target got compressed into minutes.
The satellite imagery Maven was pulling from was seven years old. The site was still tagged in the database as an Islamic Revolutionary Guard facility.
The system spat it out as a recommended day-one target. Humans signed off. The first missile flew. Then a second one landed minutes later to hit the people who came to help.
Investigators later found that some Central Command staff had assumed Maven would flag stale intelligence for them. It did not. Nobody had told it to.
Palantir told Bloomberg the government is responsible for the underlying data. The Pentagon's civilian harm mitigation team, the people whose actual job is to catch a target like this, had been cut back before the war started.
This is not AI going rogue. This is the opposite.
This is AI doing exactly what it was built to do at exactly the speed it was built to do it. And a school full of little girls got vaporized because the humans in the loop trusted the machine more than they trusted their own eyes.
I keep thinking about the version of this story that comes next. What happens when the system is faster. When the target list is not 1,000 in a day but 10,000. When "review" becomes a button the operator has three seconds to hit before the next target loads. When there is no human left slow enough to notice that a soccer pitch is not a helipad.
We are not talking about a spam filter mislabeling an email. We are talking about a system that turned a seven-year-old database entry into two cruise missiles landing on children in the middle of a morning class.
A UN-backed panel has now called it a potential war crime.
In terms of children killed, it is the deadliest American targeting error of the entire 21st century. And according to Bloomberg, some of Defense Secretary Hegseth's own advisors are worried that too much public scrutiny of Maven might slow down its adoption inside the Pentagon.
Read that last line again.
If you build this stuff, you own what it does. You do not get to hide behind "the government owns the data." The whole pitch of your product is that speed and integration save lives. When it takes them instead, that is also on you.
I am not against AI in defense. I am against AI in a hurry. Speed is the entire mechanism that made Minab possible. Every guardrail we already know how to build takes time, and time is exactly what the system was designed to eliminate.
So here is the question I have not been able to stop asking, and I genuinely want to know what you think.
If a piece of software helped kill 123 children in a single morning while behaving exactly as designed, what does "responsible AI" even mean anymore?
Krishna Karra retweeted
Bloomberg just dropped the most disturbing investigation I have read this year, and every AI builder should read it and take it seriously.
On February 28, two Tomahawk missiles hit an elementary school in Minab, a small town in southern Iran. 156 people died. At least 123 were children. The Pentagon knew within hours that it had bombed a school.
The school had its own website. It was labeled on Google Maps. You could see the soccer pitch from a satellite view. You could see the brightly painted walls. Any 12-year-old with a browser could tell what the building was.
The AI system could not.
Inside US Central Command, personnel were using Palantir's Maven Smart System. It is an AI targeting platform running on a $1.3 billion Pentagon contract, and embedded inside it is Anthropic's Claude.
On day one of the war, more than 1,000 targets went through it in 24 hours. Work that used to take a team hours per target got compressed into minutes.
The satellite imagery Maven was pulling from was seven years old. The site was still tagged in the database as an Islamic Revolutionary Guard facility.
The system spat it out as a recommended day-one target. Humans signed off. The first missile flew. Then a second one landed minutes later to hit the people who came to help.
Investigators later found that some Central Command staff had assumed Maven would flag stale intelligence for them. It did not. Nobody had told it to.
Palantir told Bloomberg the government is responsible for the underlying data. The Pentagon's civilian harm mitigation team, the people whose actual job is to catch a target like this, had been cut back before the war started.
This is not AI going rogue. This is the opposite.
This is AI doing exactly what it was built to do at exactly the speed it was built to do it. And a school full of little girls got vaporized because the humans in the loop trusted the machine more than they trusted their own eyes.
I keep thinking about the version of this story that comes next. What happens when the system is faster. When the target list is not 1,000 in a day but 10,000. When "review" becomes a button the operator has three seconds to hit before the next target loads. When there is no human left slow enough to notice that a soccer pitch is not a helipad.
We are not talking about a spam filter mislabeling an email. We are talking about a system that turned a seven-year-old database entry into two cruise missiles landing on children in the middle of a morning class.
A UN-backed panel has now called it a potential war crime.
In terms of children killed, it is the deadliest American targeting error of the entire 21st century. And according to Bloomberg, some of Defense Secretary Hegseth's own advisors are worried that too much public scrutiny of Maven might slow down its adoption inside the Pentagon.
Read that last line again.
If you build this stuff, you own what it does. You do not get to hide behind "the government owns the data." The whole pitch of your product is that speed and integration save lives. When it takes them instead, that is also on you.
I am not against AI in defense. I am against AI in a hurry. Speed is the entire mechanism that made Minab possible. Every guardrail we already know how to build takes time, and time is exactly what the system was designed to eliminate.
So here is the question I have not been able to stop asking, and I genuinely want to know what you think.
If a piece of software helped kill 123 children in a single morning while behaving exactly as designed, what does "responsible AI" even mean anymore?
Krishna Karra retweeted
"Within hours of a Feb. 28 missile attack that hit an Iranian school, some Pentagon personnel knew the US was responsible, according to officials involved in an internal investigation of the incident. That probe found what the officials now describe as a cascade of preventable failures."
HUGE from @BenBartenstein @k3blu3: Inside the US ‘Kill Chain’ That Destroyed an Iranian School
Pentagon investigators discovered that flawed intel, outdated imagery & overreliance on AI contributed to a missile strike that killed 123 children in Minab
🎁 bloomberg.com/graphics/2026-…
Krishna Karra retweeted
INVESTIGATION: Inside the US military “kill chain” that destroyed a school and killed 123 children in Iran.
Pentagon investigators discovered that flawed intelligence, outdated imagery and an overreliance on AI contributed to the disaster.
bloomberg.com/graphics/2026-… @business
Krishna Karra retweeted
NEW, from Bloomberg News: “Within hours of a Feb. 28 missile attack that hit an Iranian school, some Pentagon personnel knew the US was responsible, according to officials involved in an internal investigation of the incident.” bloomberg.com/graphics/2026-…
Krishna Karra retweeted
HUGE from @BenBartenstein @k3blu3: Inside the US ‘Kill Chain’ That Destroyed an Iranian School
Pentagon investigators discovered that flawed intel, outdated imagery & overreliance on AI contributed to a missile strike that killed 123 children in Minab
🎁 bloomberg.com/graphics/2026-…
Krishna Karra retweeted
"Inside Centcom ... some personnel relied too much on the artificial intelligence embedded in Maven Smart System, the officials said. Maven, which is made by Palantir..."
Inside the US ‘Kill Chain’ That Destroyed an Iranian School
@BenBartenstein @k3blu3
Pentagon investigators have discovered that flawed intelligence, outdated imagery and an overreliance on AI contributed to a missile strike that killed 123 children in Minab. bloomberg.com/graphics/2026-…
NEW: Pentagon investigators have discovered that flawed intelligence, outdated imagery and an overreliance on AI contributed to a missile strike that killed 123 children in Minab.
🎁: bloomberg.com/graphics/2026-…
put my 2 cents in for this CJR piece, have a read
cjr.org/feature/the-future-o…
read our coverage of the destruction to buildings, roads and bridges caused by the GLOF in nepal.
🎁: bloomberg.com/graphics/2026-…
Krishna Karra retweeted
In Kenya, reporting shows that abandoning an incomplete project w/o mitigation steps triggered the worst flood in a decade, destroying farmland, damaging homes, disrupting livelihoods and increasing waterborne disease.
When the Trump administration abruptly terminated most of USAID's water and sanitation portfolio, it left dozens of projects unfinished around the world.
Bloomberg investigated the devastating impacts to one community in Kenya. Read The Big Take ⤵️ bloomberg.com/graphics/2026-…
NEW: we documented the fallout of a USAID irrigation system project in southern Kenya, leading to the worst flood the village of Kimorigo had seen in atleast a decade.
read our story 🎁: bloomberg.com/graphics/2026-…
Krishna Karra retweeted
I am glad that this issue is getting more attention - it was great to speak with speak with @k3blu3 who wrote wrote a great piece on @Bloomberg.
what do ongoing satellite imagery restrictions mean for the industry?
read my take 🎁: bloomberg.com/graphics/2026-…
we analyzed land use types across damage clusters in tehran derived from radar, and found that many military and government targets sit side-by-side with civilian and commercial areas.
read more here 🎁: bloomberg.com/graphics/2026-…
data from the NASA CYGNSS constellation shows large increases in GPS interference around gulf countries and the strait of hormuz since the iran conflict began. sailors caught in the crossfire are having a rough go of it.
read more here 🎁: bloomberg.com/graphics/2026-…


















