Andreas Blattman

Co-Founder, Black Forest Labs · 1 appearance on the record.

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Andreas Blattmann is a co-founder of the generative AI company Black Forest Labs, best known for developing the FLUX foundation models. Previously an AI researcher at LMU Munich and Stability AI, he co-invented Latent Diffusion Models and co-developed Stable Diffusion and Stable Video Diffusion.

4statements → 1claims → 1claims resolved → 3.75/5average certainty → 2.25/5average debate potential →

1 supported 0 partly supported 0 contradicted how the 1 claim stands · each chip opens the sources

1 assertion · 2 insights · 1 what if · every statement was checked. The predictions and assertion are the 1 claim: statements the public record can support or contradict. 1 is resolved. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Andreas argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported

Blattman: Stable Video Diffusion acquired 3D reasoning within 2,000 iterations

“We showed that by our three D fine tuning. This was, by the way, this was completely surprising for me seeing that model after a 1002 thousand iterations, like already getting what is like, three D reasoning or like explicit three D reasoning.”

Andreas Blattman Feb 17, 2024 ▶ 29:27 Text to Video: The Next Leap in AI Generation

What they said4 Episodes1

Everything Andreas Blattman said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

What-if

Blattman: AI image progress depended on open-sourcing Stable Diffusion

“Open sourcing, like a foundation model as stable diffusion initially, that led to a whole lot of research on these models, which was, yeah, it was in, in retrospect, extremely important to do this. I think otherwise we wouldn't have seen the improvements we sa…”

Andreas Blattman Feb 17, 2024 ▶ 9:26 Text to Video: The Next Leap in AI Generation

Insight

Blattman: Video AI models must learn physics and 3D geometry

“I think video is, is like an awesome kind of data because you, to solve that task, to solve video generation, a model needs to Learn much about like physical properties of the world of like the physical foundations of the world that there is so much without kn…”

Andreas Blattman Feb 17, 2024 ▶ 12:01 Text to Video: The Next Leap in AI Generation

Insight

Blattman: High batch sizes are critical for training diffusion models

“So for diffusion models, it's really important to have a high batch size, because the gradients gets, like, you can approximate the gradient, which thrives the learning much better if the batch size is higher. And especially for diffusion models, it's like rea…”

Andreas Blattman Feb 17, 2024 ▶ 17:43 Text to Video: The Next Leap in AI Generation