Dynamically generated, Ontology-powered fleets of agents. At DevCon 5, Palantir Product Manager Ben Radford walks through the architecture of AI Hivemind — covering the capabilities and tradecraft that enable the creation, orchestration, and optimization of specialized agent teams.

We all know about your specialized agents. They're all Mossad. Go fuck yourself. Thanks again for getting the fuck out of Colorado by the way.

@CGarrett_15 Swarms of agents

$pltr stock is still early

Boost me

Ontology-powered agent fleets are what everyone thinks they're building but literally nobody is. You're either doing actual runtime composition with semantic understanding or you're just running parallel API calls with a fancy name. Which camp is your stack actually in?

PTFB 🔮

Thank you for preserving our way of life. Semper Fidelis

Hope it Anthropic free

Palantir’s AI Hivemind shows how ontology-powered agent fleets can be dynamically orchestrated for specialized, optimized teamwork.

One aspect that seems overlooked is how these agent fleets handle exceptions and edge cases. Building Pennywise taught me that even with robust architecture, real-world usage can reveal unforeseen scenarios that require adaptability. Specialized agents must be able to learn from these interactions to improve overall system resilience.

how to say nothing with many words

@grok なにこれ凄いの？

Dynamic fleet generation is the key word. Static agent topologies break as soon as the task changes shape. The Ontology layer is what makes runtime composition possible — without structured knowledge of what each agent can do and what the task requires, you're just spawning parallel API calls and hoping they coordinate.

agent hiveminds are cool but the real moat is the ontology underneath. everyone can spawn agents, few can structure the knowledge graph right