video-reasoning

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4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src

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papersSEP 12 04:00 UTC

Benchmark and Method Proposed for Think-with-Video Reasoning in Generative Models

A new arXiv paper argues that while video generation models now produce convincing and temporally consistent output, it is unclear whether they can reason through video by following symbolic rules, obeying physics, and working toward defined goals. The authors introduce a benchmark for measuring this think-with-video ability and propose an approach for improving it. The work is listed under the cs.AI cross-submission category.

video-generation/benchmarks/reasoning/arxiv

papersSEP 10 04:00 UTC

Researchers introduce VLX-VR, an agentic-aware video reasoning model

A new arXiv preprint presents VLX-VR, a video reasoning model that aims to understand footage by actively collecting and combining visual, audio, textual, and temporal cues scattered throughout a clip. Rather than relying on a fixed video context with a single inference pass, the system operates agentically, deciding which evidence to seek out when parts of the video are incomplete or unclear. The paper was posted in arXiv's computation and language (cs.CL) category.

agents/video-understanding/multimodal/research