Fal.ai, every mention
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every year anyone Batuhan Taskaya 8Stephanie Palazzolo 3Shawn Wang 1Justine Moore 1
Verbatim, from the transcripts: the passages where Fal.ai comes up
AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin
- ▶ 47:26 Shawn Wang Interesting category of these optimizers is also the diffusion people, whereas, like, Phel and, you know, uh, Pruna recently has come up a lot as well, which I think is, like, really underappreciated, uh, at least by myself, because I…
A Technical History of Generative Media
- ▶ 0:10 unnamed speaker Uh, today we're so excited to be in the studio with Gorkum and Batuhan of Val. 5 times in the scene
- ▶ 2:06 unnamed speaker Can you guys maybe just give a quick sense of the scale of file? 12 times in the scene
- ▶ 4:59 Batuhan Taskaya History-wise, I think the biggest, like, the initial hit was stable diffusion 1.5, which is when we actually pivoted into this new paradigm of fall, generating media cloud. 4 times in the scene
- ▶ 15:00 unnamed speaker And on average, a model on file runs 10 X faster than I would self-host it. 2 times in the scene
- ▶ 18:05 unnamed speaker So, so, and then the other thing I wanted to also dive into, you know, like, um, uh, putting my, a little bit of the investor hat on, one of the reasons for file success is kind of with not within your control, which is how, when, and how… 6 times in the scene
- ▶ 32:22 unnamed speaker Um, how far are we from, like, FAL getting a lot of traffic on, on those models? 6 times in the scene
- ▶ 42:08 Batuhan Taskaya As soon as, like, code image is available, you can just switch to that with file. 4 times in the scene
- ▶ 52:39 unnamed speaker If you're not working on fail, but you see a lot of things in the ecosystem, right? 7 times in the scene
The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information
- ▶ 8:41 Stephanie Palazzolo And so, yeah, FAL is another one. 3 times in the scene
AI Video Is Eating The World — Olivia and Justine Moore, a16z
- ▶ 25:24 Justine Moore And so, honestly, what we see is, like, a ton of creators are just going to the model enablement layer, whether it's a consumer-facing interface, like CREA, or more of a developer-facing interface, like a FALL or a Replicate, where you can…
The Accidental AI Canvas - with Steve Ruiz of tldraw
- ▶ 59:26 unnamed speaker Trends, uh, where I think you worked with FAL. 3 times in the scene