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@selfvision Self Vision
Self Vision posts on X about generative, the world, inference, just a the most. They currently have XXXXX followers and XXX posts still getting attention that total XX engagements in the last XX hours.
Engagements: XX #
- X Week XXX +16%
- X Month XXXXX -XX%
- X Months XXXXXX +129%
- X Year XXXXXX -XX%
Mentions: X #
Followers: XXXXX #
- X Week XXXXX -XXXX%
- X Month XXXXX +0.26%
- X Months XXXXX +9%
- X Year XXXXX +40%
CreatorRank: undefined #
Social Influence
Social topic influence generative #304, the world, inference #270, just a, world model, solve
Top Social Posts
Top posts by engagements in the last XX hours
"For decades simulation was just a numerical shadow of reality. But as robots internalize differentiable generative world models something flips: the robot's most accurate "world" is no longer outside its sensors -its inside its simulators"
X Link 2025-12-10T12:37Z 2736 followers, XX engagements
"VLAs blur the line between symbolic reasoning & embodied intelligence: the robot reasons by moving and understands by acting"
X Link 2025-12-10T12:40Z 2734 followers, XX engagements
"As robots shift to VLA models and generative planners the bottleneck becomes the world model. A smart simulator is the robot's epistemology: its source of meaning and error bars"
X Link 2025-12-10T12:43Z 2734 followers, XX engagements
"Sim2Real in robotics breaks because simulators assume a fixed world. Reality doesnt. The next frontier is simulation engines that update themselves from real-world deltas in real time"
X Link 2025-12-10T12:44Z 2736 followers, XX engagements
"Foundation-model based robotics treats action as conditional sampling. The robot draws trajectories that satisfy visual constraints linguistic goals and learned priors. Control becomes inference in a structured generative model - not manual trajectory optimization"
X Link 2025-12-10T12:52Z 2733 followers, XX engagements
"Foundation models kill the old idea of SLAM. Instead of "Simultaneous Localization and Mapping" robots perform Simultaneous Inference & Imagination: they localize inside a latent world model and update the model as a generative prior - not a point cloud"
X Link 2025-12-10T12:54Z 2734 followers, XX engagements
"The hardest part of SLAM in Robotics was always data association. Foundation models solve it by embedding every observation - pixels poses objects goals into a shared latent coordinate system. Correspondence becomes geometry in feature space"
X Link 2025-12-10T12:55Z 2734 followers, XXX engagements
"The biggest shift in robotics this year: Maps are no longer geometric reconstructions - they are generative explanations. A foundation-model robot doesnt just model space; it models why the world appears the way it does. Robotics just jumped from geometry epistemology"
X Link 2025-12-10T12:58Z 2734 followers, XXX engagements