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Scout AI
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Scout AI
@ScoutAI_
Frontier AI lab for U.S. defense
Silicon Valley Katılım Aralık 2024
2 Takip Edilen2.3K Takipçiler
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Raw. Behind the scenes. Explainer. 🎥🤖
🚨 The first agentic military strike. 🚨
A few weeks ago we showed something that had never been demonstrated before:
A team of AI agents conducting a coordinated military strike on a target.
In the explainer video below, I'm sharing a look under the hood at how it actually works.
System architecture:
🚙 1 UGV carrying 2 one-way attack drones
🧠 7 AI agents total
• 1 Orchestrator agent (~300B parameters)
• 6 asset agents
Each asset runs two agents:
• Reasoning agent – planning, decision making, tool use
• VLA agent – perception and vehicle control trajectories (~1B parameters)
Tool use is also used all over the place on orchestration and platform autonomy. Agents call tools on traditional platform autonomy (e.g. flight controllers) when that makes sense vs. direct control (e.g. unlatch and takeoff command).
Systems:
• Orchestrator runs in an orchestration compute cluster on a set of H100s.
• Each edge asset has 2x Nvidia inference chips, some as low as 25W.
• Orchestrator does not have any implementation insight into assets.
• Treats them as third-party assets.
• It reads the ICD for the function calls, similar to MCP.
Shared cognition across the system:
📡 All agents share their thoughts across the network
🧠 Memory stored as text + short-term video context
👁️ Systems maintain shared situational awareness
This allows the system to operate as a single coordinated intelligence, not isolated robots.
• All systems are loosely coupled, prompting eachother.
• Clear safety guard rails and human on the loop.
• Entire video is hands-off from human control after the initial paragraph of intent into the Orchestrator.
• Agents run between 350ms to 10s cycle times depending on their function and all actions are real-time dynamic. No pre-scripting of the mission.
⚡ Video is sped up 2× for brevity
This capability was developed under DARPA and U.S. Army contracts for broad DoW use.
🎙️ @emilmichael @Jason @friedberg @chamath this is the fully autonomous AI mission you discussed as possible someday soon on the @theallinpod last week. Happy to give any of you a direct technical brief at any time.
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Scout AI is using technology borrowed from the AI industry to power lethal weapons—and recently demonstrated its explosive potential. wired.com/story/ai-lab-s…
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Today I am extremely proud to introduce the Fury Autonomous Vehicle Orchestrator 🇺🇸
For the past 12 months, the Scout AI team has been building this quietly. Now we’re finally ready to unveil it to the world
Just like AI agents are transforming the digital world, Fury Orchestrator brings that same agentic intelligence into the physical world for the U.S. warfighter
It is the first agentic system that can take a commander’s high-level mission intent, spoken or typed in natural language, and turn it into coordinated autonomous action across a mixed fleet of unmanned assets
More in 🧵
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Unlike traditional autonomy stacks that rely on hand-engineered code and conditional logic, Fury functions as an agentic interoperability layer
The orchestrator reads platform documentation and tool definitions, then generates structured JSON instructions native to each vehicle’s API, without modifying underlying flight controllers, mobility stacks, or autonomy software

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From robotic swarms to low-cost drone forces, the future battlefield is changing fast.
See what else Bill Vass, Randy Yamada, Brian MacCarthy, and @ScoutAI_’s @collinotis are predicting for the next decade of #DefenseTech.
Check out their full conversation: boozallen.co/4pLoEUg
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