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Published · transcript-backed

Tulsee Doshi: prediction

20 May 2026 The Cognitive Revolution The Model Eats the Scaffolding: DeepMind's Logan Kilpatrick & Tulsee Doshi on 3.5 Flash, Omni & More

“I think we're gonna keep getting things that we're using internally that we even start to push out externally through previews and this.”

— Tulsee Doshi

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Speaker
Tulsee Doshi
Attribution
Verified speaker
Claim type
prediction
Recorded
20 May 2026
Publisher
The Cognitive Revolution

Transcript context

…I think the perception from outside is by analogy too, it's hard to make a good flash model if you don't have a good pro model. People sort of think that there's like an ultra model internally that's the mega training run that's then being used to like help train pro, which maybe in turn is being used to help train flash. Is that true? Is there like a bigger thing inside that is only for these sort of distillation to the mid-size? I mean, we definitely use distillation as a way of kind of bringing down bringing down our sizes. So you will see that like pro influences flash, influences flashlight. We also do the reverse where we scale up, right? So you take the pro, you take the flash recipe and scale up to the pro recipe, for example. And we do have, I think what's been really fun, especially over like seeing as we've used even anti-gravity into this point of Logan made with the harness, I think we've been seeing a lot of examples actually of leveraging pretty awesome models to drive progress internally. Actually, like one thing Varun demos on stage on Tuesday is basically like being able to leverage a bunch of sub-agents to go and complete a bunch of tasks and come back. And you can actually try that as like an early preview in anti-gravity today if you go to slash teamwork. And that's an example, I think, of something we've been using internally, which is an extremely smart model. And it leverages both the combinations of the best of Gemini 3.5 as well as inference techniques. And you're able to actually accomplish so much. And I think that's the kind of direction I'm excited for us to go into more. So I think we're kind of pursuing all of these fronts. We're scaling up from the pre-training and kind of frontier perspective. And I think that's been really continuing to show gains. There's a bunch we're doing on the post-training side. And then there's also just a bunch we're pushing on the inference side. And then that plus trying to make sure we're working with the harnesses. I think we're gonna keep getting things that we're using internally that we even start to push out externally through previews and this. Brave Search API gives AI agents a fast, independent search index for research, RAG pipelines, images, places, and fewer hallucinations. Get $5 in free credits at https://brave.com/search/api/?mtm_campaign=q2-26-cognitive-revolution Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code COGNISM in the source field to save 20% off year one…

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