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veridive

Product Hunt · 2026-06-09

Veridive is a tool that lets you find key moments in videos via chat, enabling quick discovery of important segments.

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#video-analysis

Inter-1 does streaming: real-time social signal detection from live video, audio & text

Reddit r/artificial · 2026-05-21 Cached

Interhuman.ai has launched a Streaming API for its Inter-1 model, enabling real-time detection of 12 social signals from live video streams via WebSocket, along with engagement tracking and conversation quality scoring.

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#video-analysis

Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos

Hugging Face Daily Papers · 2026-05-18 Cached

Artifact-Bench is a comprehensive benchmark that evaluates multimodal large language models on detecting and analyzing artifacts in AI-generated videos, revealing significant limitations and misalignment with human perception.

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#video-analysis

@vista8: Last night I casually tested Knowly developed by the @Ethan_Yang_AI team. Tried interpreting YouTube videos and arXiv papers – the results were stunning. Except for a rather limited free quota and slightly slow vector processing. In terms of both product interaction and interpretation quality, it's no less impressive than NotebookLM. With a Chrome extension that has only a few users but has already been selected by Google as a featured pick, its strength is evident. Official site in comments https://t.co/62NkT3pO4G

X AI KOLs Timeline · 2026-05-13 Cached

Introduces Knowly AI tool, capable of interpreting YouTube videos and arXiv papers with impressive results. Interaction and interpretation quality rival NotebookLM. Comes with a Chrome extension already featured by Google. Drawbacks: limited free quota and slightly slow vector processing.

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#video-analysis

Perceptron Mk1 shocks with highly performant video analysis AI model 80-90% cheaper than Anthropic, OpenAI & Google (8 minute read)

TLDR AI · 2026-05-13 Cached

Perceptron Inc. released its flagship video analysis model Mk1, claiming 80-90% lower cost than competitors while achieving strong performance on spatial and video reasoning benchmarks.

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#video-analysis

Parameter-Efficient Multi-View Proficiency Estimation: From Discriminative Classification to Generative Feedback

Hugging Face Daily Papers · 2026-05-05 Cached

This paper introduces three parameter-efficient methods for multi-view proficiency estimation on the Ego-Exo4D dataset, shifting from discriminative classification to generative feedback. The proposed models achieve state-of-the-art accuracy with significantly fewer parameters and training epochs than video-transformer baselines.

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