@nomadicai: The future of computer vision is agentic. 1/ We built Nomadic around a gap we kept seeing in video understanding: VLMs …

X AI KOLs Following Products

Summary

NomadicAI is building an agentic computer-vision product to fix VLMs' weak grounding in actual video content.

The future of computer vision is agentic. 1/ We built Nomadic around a gap we kept seeing in video understanding: VLMs generate chain-of-thought that's fluent and often correct in structure, but weakly grounded in what's actually in the video. This limitation shows up in cases
Original Article Export to Word Export to PDF
View Cached Full Text

Cached at: 04/22/26, 06:20 AM

The future of computer vision is agentic. 1/ We built Nomadic around a gap we kept seeing in video understanding: VLMs generate chain-of-thought that’s fluent and often correct in structure, but weakly grounded in what’s actually in the video. This limitation shows up in cases

Similar Articles

@elonmusk: Tesla AI Vision

X AI KOLs Following

A brief mention of Tesla AI Vision, referring to Tesla's computer vision-based approach to autonomous driving.

A better method for planning complex visual tasks

MIT News — Artificial Intelligence

MIT researchers developed VLMFP, a two-stage generative AI approach combining vision-language models with formal planning software to achieve 70% success rate on complex visual planning tasks like robot navigation, nearly 2.3x better than existing baselines. The method automatically translates visual scenarios into planning files that classical solvers can process, enabling effective long-horizon planning in novel environments.