Scout AI

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Scout AI

Scout AI

@ScoutAI_

Frontier AI lab for U.S. defense

Silicon Valley Katılım Aralık 2024
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Scout AI
Scout AI@ScoutAI_·
Scout AI today publicly showcased for the first time its Fury Autonomous Vehicle Orchestrator running a heterogeneous fleet of autonomous air and ground systems from natural language mission intent Watch the full demo now ⬇️
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Collin Otis
Collin Otis@collinotis·
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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@jason
@jason@Jason·
Anyone building a war-focused LLM that’s looking for funding?
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WIRED
WIRED@WIRED·
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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Colby Adcock
Colby Adcock@adcock_colby·
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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Scout AI
Scout AI@ScoutAI_·
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
Scout AI tweet media
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Scout AI
Scout AI@ScoutAI_·
Scout AI today publicly showcased for the first time its Fury Autonomous Vehicle Orchestrator running a heterogeneous fleet of autonomous air and ground systems from natural language mission intent Watch the full demo now ⬇️
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Colby Adcock
Colby Adcock@adcock_colby·
Next week, we’re unveiling something we believe fundamentally changes multi-agent capability for modern defense operations
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Colby Adcock
Colby Adcock@adcock_colby·
Adaptability is one of many reasons VLA's will dominate offroad defense autonomy. Sharing a cool video from 2 months ago. We previously taught Fury to "follow a human" and with a small amount of human demonstration and changing the command to "follow the vehicle" it is able to Convoy
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Colby Adcock
Colby Adcock@adcock_colby·
Fury command: "hit the truck" ➡️ Autonomy engaged
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Scout AI
Scout AI@ScoutAI_·
Join our team to help scale Fury to millions of defense robots across air, land, sea, and space: > AI Engineer - Fury Team > AI Researcher - Fury Team > Embedded Engineer > Drone Operator #careers" target="_blank" rel="nofollow noopener">scoutco.ai/company#careers
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Scout AI
Scout AI@ScoutAI_·
Scout AI was selected as a winner of the @USArmy's xTechOverwatch Competition.
Scout AI tweet media
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Colby Adcock
Colby Adcock@adcock_colby·
New trucks at HQ 😎
Colby Adcock tweet media
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