Katrina Manson
@KatrinaManson · Washington, DC · joined 27 Jan 2012
Author of Project Maven: A Marine Colonel, His Team, and the Dawn of AI Warfare; and Bloomberg reporter https://t.co/fevMFtR5u0
15 613Followers
3 665Following
3 963Posts total
27.3KViews on collected posts
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“a well-told and definitive account” —
Prof Sir Lawrence Freedman, Emeritus Professor of War Studies at King’s College London, reviews my book Project Maven: A Marine Colonel, His Team, and the Dawn of AI Warfare in the new issue of Foreign Affairs https://t.co/tWtjI4sreg
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My book “Project Maven: A Marine Colonel, His Team, and the Dawn of AI Warfare” is long-listed for the Financial Times and Standard Chartered Business Book of the Year Award 2026
https://t.co/vNQte7tjcq
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In September, the Pentagon plans to try something harder still: ejecting multiple drones from a single launcher.
Read the full story here:
https://t.co/DSgK2csjCc
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The US defense official thinks the drones fell back on old pattern recognition after being trained to identify white Toyota Hiluxes in the desert. Human military commanders rejected the suggested targets, but it’s the kind of mistake the Pentagon wants companies to fix quickly.
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The AI needs to improve: at tests in June some drones (from companies that the US defense official did not identify) suggested attacking civilian white Chevy trucks parked outside the designated operational area.
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Humans are not quite in the loop but not quite out of it either. Instead, they occupy a curious halfway position known as “on the loop,” according to the defense official: A target can be identified and attacked autonomously, but a human commander confirms the target selection.
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Auterion will compete in the third round of testing in September against companies including Anduril, Lockheed Martin and Palantir, as well as smaller rivals.
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While Auterion-supported drones act autonomously but individually in Ukraine, earlier this year the company carried out its first live-fire drone swarm strike in the US, as part of the launch of the Pentagon’s Swarm Forge competition.
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Auterion-supported drones have carried out 6,000 autonomous strikes in Ukraine, according to the company’s CEO. One of the latest versions of the company’s technology puts a GPU on the drone platform itself, bringing computer vision to the front line.
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NEW ON BLOOMBERG: At a Maryland farm proud to say it sells “humanely raised” meat, a small team is cultivating one of the potentially more inhumane products of the artificial intelligence age: autonomous drone swarms.
https://t.co/DSgK2csjCc
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Read the full story at this gift link:
https://t.co/RQO5f1HriH
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Bloomberg couldn’t corroborate Gallagher’s claims, a Palantir spox said the company wasn’t in a position to make an assessment about alternative scenarios because the Pentgaon investigation was ongoing, and a Pentagon spox said the incident remains under investigation.
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“There’s no question in my mind that if Palantir had been in charge of the underlying data set, that we could have avoided that tragedy,” Mike Gallagher said, referring to Minab, arguing the US needs to modernize all its systems.
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Mike Gallagher, head of Palantir’s defense division and a former US Republican representative, told Japanese public broadcaster NHK in June in response to questions about Minab that he understood the problem was with the underlying database.
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DIA military intel systems have incurred criticism since MARS was launched in 2018 to replace the legacy MIDB system. Those systems underpinned some elements of target development in the run up to the strike on a school in Minab, Iran, which killed an estimated 120 children.
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The bid had been to improve DIA’s military intel system known as MARS, which contains record that inform how military commanders develop targets. Palantir complained the govt was “impermissibly seeking a developmental solution when a commercial solution is already available.”
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NEW FROM BLOOMBERG: The Defense Intelligence Agency has withdrawn a bid to improve a military intelligence system at the heart of lethal targeting following a protest from Palantir.
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“A tour de force of reporting”
Thank you @NPR for featuring my book Project Maven: A Marine Colonel, His Team, and the Dawn of AI Warfare in your “Books We Love” list of nonfiction favorites so far this year.
https://t.co/zBJOS7efX4
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Frente a cuentas del mismo tamaño
18 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.
Visualizaciones medianas228esta cuenta924mediana de 10K–100K
Alcance, %1.46%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.79%esta cuenta1.52%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 228 | 924 | 0.25× |
| Alcance (visualizaciones ÷ seguidores) | 1.46% | 3.62% | 0.40× |
| Tasa de interacción | 0.79% | 1.52% | 0.52× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
20124 Jul
309
294
10K14 Aug
215
142
84
65
57
110
90
13
61017 Aug
45318 Aug
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.00%24 Jul
0.97%
0.34%
0.14%14 Aug
0.47%
0.70%
1.19%
1.54%
1.75%
0.91%
0.00%
0.00%
2.62%17 Aug
1.10%18 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes51.9%54 in total
Reposts15.4%16 in total
Replies17.3%18 in total
Quotes1.9%2 in total
Bookmarks13.5%14 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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