DeepMind Advances Zero-Shot Video Models with Chain of Thought Reasoning
TL;DR Summary
The article discusses the performance of Veo 3, an AI video model, highlighting its inconsistent results across various tasks. While it demonstrates some ability to solve tasks, its unreliability in consistent performance suggests that future AI models need to improve significantly to be practically useful and truly understand how the real world works.
Topics:technology#ai-video-models#capability-assessment#future-ai-development#model-performance#task-variability#technology
- Can today’s AI video models accurately model how the real world works? Ars Technica
- Deepmind says video models for visual tasks could become what LLMs are for text tasks the-decoder.com
- Video Models Are Zero-shot Learners and Reasoners., Video Models Demonstrate Zero-shot Learning and Reasoning across a Broad Variety of Visual Tasks Quantum Zeitgeist
- DeepMind Leads in Proposing CoF: Video Models with Their Own Chain of Thought 36Kr
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