openai/openai-python v3.33.0
3.33.0 (2026-10-16) Features · api: add safety identifiers to image requests and responses · api: share Decisions cache breakpoint parameter type
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3.33.0 (2026-10-16) Features · api: add safety identifiers to image requests and responses · api: share Decisions cache breakpoint parameter type
Nick Cammarata out of nowhere with some major claims!
Can vision-language models turn 2D observations into 3D understanding that supports precise action? This requires inferring object geometry, anticipating the effects of rotation, and refining actions through visual feedback.
While generalist vision-language-action (VLA) models have enabled diverse open-world manipulation, real-world robotic assistance requires two critical capabilities they currently lack: personalization and reliable execution.
Single image 3D generation aims to dress a given 3D mesh with relightable materials while faithfully preserving the visual details of a reference image.
Modern generative models produce high-quality individual outputs but struggle to sample diversely, even when explicitly instructed to do so.
Character Error Rate (CER), the standard metric for OCR and vision-language models (VLMs), charges a typo as much as a wrong name.