Updates to Veo, Imagen and VideoFX, plus introducing Whisk in Google Labs

While video models often “hallucinate” unwanted details — extra fingers or unexpected objects, for example — Veo 2 produces these less frequently, making outputs more realistic. Our commitment to safety and responsible development has guided Veo 2. We have been intentionally measured in growing Veo’s availability, so we can help identify, understand and improve the…

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A new benchmark for evaluating the factuality of large language models — Google DeepMind

Acknowledgements FACTS is a collaboration between Google DeepMind and Google Research.FACTS Grounding was led by: Alon Jacovi, Andrew Wang, Chris Alberti, Connie Tao, Dipanjan Das, Jon Lipovetz, Kate Olszewska, Lukas Haas, Michelle Liu, and Nate Keating. We are also very grateful for contributions from: Adam Bloniarz, Carl Saroufim, Corey Fry, Dror Marcus, Doron Kukliansky, Gaurav…

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