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Tim Scarfe: evaluation

5 Aug 2025 Machine Learning Street Talk DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)

“I've also noticed that this model is is even better than v o 3 at things like text. It's because you you would think that they would they would dumb down the model to make it interactive and to make it this sophisticated.”

— Tim Scarfe

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Speaker
Tim Scarfe
Attribution
Verified speaker
Claim type
evaluation
Recorded
5 Aug 2025
Publisher
Machine Learning Street Talk

Transcript context

…My name is Enzo. I work at Prolific. I'm the VP of data and AI. I support everything from AI, data research, and and the likes. For those unfamiliar, Prolific is a human data platform for working with everything from academic researchers, but also small and large players in the AI industry. Visit prolific.com. Yes. This is the demo where they've got Genie 3 memory test on a blackboard. You see there's like an apple in a cup, and then you kind of like go out you you you look out the, the window. You see there's like a few cars. And the purpose of this test is to kind of say they've got such a long context window, you know, similar concept to a large language model that it still remembers all of the things that it generated, you know, even if it's minutes ago. We've got the the blackboard over here. We look up, and there it is. It remembered it. Genie 3 memory test. I've also noticed that this model is is even better than v o 3 at things like text. It's because you you would think that they would they would dumb down the model to make it interactive and to make it this sophisticated. But even as a video generated model, it seems almost better than v o 3 for doing a whole bunch of stuff. Alright. So I'm Shlomi Fuchter. I'm a research director at Google DeepMind. I'm the Veo co lead, and I'm basically working at Google for about 11 years. Recently on diffusion models and the various modalities, image, video, and we'll tell you more about what we're working on right now. Hey. I'm Jack Parker Holden. I'm a research scientist at Google DeepMind in the Open Endless team. Originally working on open ended learning and open endedness, and more recently working on world models.…

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