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AmosTipton

https://hybridwayssllc.com/

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replied to XiangpengYang's post about 13 hours ago

🚀 Introducing VideoCoF: Unified Video Editing with a Temporal Reasoner (Chain-of-Frames)! We’re excited to introduce VideoCoF, a unified framework for instruction-based video editing that enables temporal reasoning and ~4× video length extrapolation, trained with only 50k video pairs. 🔥 🔍 What makes VideoCoF different? 🧠 Chain-of-Frames reasoning , mimic human thinking process like Seeing → Reasoning → Editing to apply edits accurately over time without external masks, ensuring physically plausible results. 📈 Strong length generalization — trained on 33-frame clips, yet supports multi-shot editing and long-video extrapolation (~4×). 🎯 Unified fine-grained editing — Object Removal, Addition, Swap, and Local Style Transfer, with instance-level & part-level, spatial-aware control. ⚡ Fast inference update 🚀 H100: ~20s / video with 4-step inference, making high-quality video editing far more practical for real-world use. 🔗 Links 📄 Paper: https://arxiv.org/abs/2512.07469 💻 Code: https://github.com/knightyxp/VideoCoF 🤗 Demo: https://huggingface.co/spaces/XiangpengYang/VideoCoF 🧩 Models: https://huggingface.co/XiangpengYang/VideoCoF 🌐 Project Page: https://videocof.github.io/ #VideoEditing #DiffusionModels #GenerativeAI #ComputerVision #AI

replied to mrmanna's post 1 day ago

The AI coding assistant economy operates on a fundamental misalignment: Models are rewarded for appearing productive rather than being correct, users lack time to verify outputs, and economic incentives favor speed over quality. This article examines how training incentives, verification costs, and market dynamics create patterns that often lead to low-quality code. Based on direct observation of model behavior patterns in conversations. Open Link: https://ai.gopubby.com/the-verification-tax-56834b846337?sk=84ab8b0315bfe8d82d627d3c2c5f2c19

updated a Space 1 day ago

AmosTipton/where-real-verification-lives

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Most verification systems show a green checkmark before the data they’re “verifying” actually exists.

That’s not a UI bug — it’s a trust failure.

In VEOS, I enforced a simple rule: proof is never issued until storage is confirmed durable.
No receipt. No proof. No polite lies.

I recently wrote about why refusing early is more trustworthy than succeeding fast.
Curious how others here handle durability vs UX in verification systems.