@AntoineYang2
Pinned post
developers.googleblog.com Google for Developers Blog - News about Web, Mobile, AI and Cloud We’re introducing a new capability to our latest Gemini models: agentic video understanding.
This allows developers to process long-form video content with more accuracy, while using up to 88% less tokens.
See how it works 🧵View quoted post on X
1H-VideoQA is now available on Kaggle Benchmarks!
Developed by @GoogleDeepMind back in 2024 (@AntoineYang2) and now updated with latest SOTA models, 1H-VideoQA is a 101-prompt benchmark for long-context video comprehension and temporal episodic reasoning across hour-long YouTube footage — designed to track real progress on native long-form video and discourage sparse-frame sampling shortcuts.View quoted post on X
We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video.
It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵View quoted post on X
Introducing Ego2Web from Google DeepMind and UNC Chapel Hill, accepted to #CVPR2026.
AI agents can browse the web. But can they act based on what you see? Existing benchmarks focus only on web interaction while ignoring the real world.
Ego2Web bridges egocentric video perception and web execution, enabling agents that can see through first-person video, understand real-world context, and take actions on the web grounded in the egocentric video.
This opens a path toward AI assistants that operate seamlessly across physical and digital environments. We hope Ego2Web serves as an important step for building more capable, perception-driven agents.
🧵👇View quoted post on X
