How Vision-Language Models Learned to Reason About Space (10 Papers, One Thread)
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This is a cross-post. The original (with diagrams, code, and cheat sheets for every chapter) lives on my blog: 👉 The Evolution of Spatial VLMs Vision-language models can describe a warehouse photo in fluent prose — and then fail to answer "how many meters is the forklift from the shelf?" They see but don't perceive . Over 2024–2026 a line of research closed that gap step by step, and the arc is remarkably coherent once you read it through a single lens: The representational mismatch between…
1Key Takeaways
- The original (with diagrams, code, and cheat sheets for every chapter) lives on my blog: 👉 The Evolution of Spatial VLMs Vision-language models can describe a warehouse photo in fluent prose — and then fail to answer "how many meters is the forklift from the shelf?" They see but don't perceive .
- Over 2024–2026 a line of research closed that gap step by step, and the arc is remarkably coherent once you read it through a single lens: The representational mismatch between….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the original (with diagrams, code, and cheat sheets for every chapter) lives on my blog: 👉 The Evolution of Spatial VLMs Vision-language models can describe a warehouse photo in fluent prose — and then fail to answer "how many meters is the forklift from the shelf?" They see but don't perceive .
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