MachineFi Lab (@machinefilab) / X

Pinned

Today we're launching the first model of the Trio family: Trio-Spark v1.0, a Situated World Model built purely for instant action. Feed it a scenario and up to 8 possible moves, and it instantly returns the optimal choice and full probability distribution in exactly ONE pass.

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Trio-Spark v1.0 is now listed on ModelSystem.One ✨ A Situated World Model for fast judgment. Give it a scenario and 2–8 possible moves—it returns the choice and full probability distribution in one pass. Listing: modelsystem.one/models/trio-sp… Try it: platform.machinefi.com/spark

MachineFi Lab

@machinefilab

14h

Following our drone deployment, Trio-Spark v1.0 now generalizes to robotic manipulation. By continuously evaluating the physical state, the model executes a strict sequence of 8 manipulation skills to complete the task in 13.68 seconds with zero collision violations. Entirely

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MachineFi Lab

@machinefilab

Sep 30

To validate its real-time physical capabilities, we integrated the API into a fully autonomous drone loop. The model successfully navigated a dynamic obstacle field, making 25 consecutive tactical decisions over a 75.7m course with zero collisions. The framework is open-source.

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MachineFi Lab

@machinefilab

Sep 30

00:34

Today we're launching the first model of the Trio family: Trio-Spark v1.0, a Situated World Model built purely for instant action. Feed it a scenario and up to 8 possible moves, and it instantly returns the optimal choice and full probability distribution in exactly ONE pass.

MachineFi Lab

@machinefilab

Jun 24

AI conquered the digital world — language, code, images. Now it's coming for the physical one. Today we're launching Trio: a world model for physical operations. AI learned language first. Now it's operating the real world.🧵🧵

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