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Microsoft Research's Rho VLA ranked first in an independent robotics evaluation, per an X post

According to a post on X by @Andrey__Kolobov, pokeandwiggle independently evaluated Microsoft Research's Rho against MolmoAct2, Pi0.5, GR00T-N1.7 and a DiT-Flow baseline, and Rho came out on top. Rho is described as a family of open-weight, 5B-parameter vision-language-action models built for two-armed manipulation. The post does not give the evaluation's scores, tasks or methodology, so the size of Rho's lead is not clear from the source. The item is a social post, not a full report.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-28T00:45:00+00:00 Detected 2026-10-28T05:25:42+00:00
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According to a post on X by @Andrey__Kolobov, pokeandwiggle independently evaluated Microsoft Research's Rho against MolmoAct2, Pi0.5, GR00T-N1.7 and a DiT-Flow baseline, and Rho came out on top. Rho is described as a family of open-weight, 5B-parameter vision-language-action models built for two-armed manipulation. The post does not give the evaluation's scores, tasks or methodology, so the size of Rho's lead is not clear from the source. The item is a social post, not a full report.

AI-assisted summary based on the listed source.

Andrey__Kolobov says pokeandwiggle independently evaluated Microsoft Research's Rho against MolmoAct2, Pi0.5, GR00T-N1.7 and a DiT-Flow baseline, and Rho came out on top. Rho is a family of open-weight, 5B-parameter vision-language-action models for two-armed manipulation. Original post on X Section: Models & Releases

Builders working on two-armed robot manipulation may want to look at Rho as an open-weight option alongside the other models named. Because the evaluation is only described in a social post, the result should be checked against the full methodology and results before it guides decisions. Watch for a published report or benchmark details from pokeandwiggle or Microsoft Research.

Signal Strength 93% Technical label WATCH Public Interest 35 Category OPEN SOURCE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

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Recognizable Entity Score 0 Practical Impact Score 18 Novelty Interest Score 94 Consequence Score 30 Curiosity Score 32 Shareability Score 48

VQV surfaced this signal because it is recent, relevant to Robotics, connected to Scobleizer News Pulse (X).