Batuhan Taskaya, co-founder of Fal, explains to podcast host Swix why developing custom ASICs for diffusion and AI workloads is economically unviable compared to Nvidia GPUs.
Opinion
Taskaya: Flux was the first enterprise-ready generative image model
“The team at Stability left to start Black Forest Labs, which released Flux models. And that was the first model to, you know, breach the barrier of commercially usable, you know, enterprise-ready grade models”
Assertion Not checkable as stated
Taskaya: NSFW content makes up less than 1% of Fal traffic
“Moderation is optional to a level where, like, illegal content is moderated, and we also track, like, the non-illegal content NSFW moderation, and, like, we haven't seen, like, we haven't seen more than one percent.”
Prediction Not checkable as stated
Taskaya: 80% of promotional video content will be AI-generated within 12 months
“Like 12 months, I think like 80% of this is going to be generated.”
Prediction Held up
Taskaya: Training a state-of-the-art image model costs under $1M
“Like right now, like if you look, if you want to train a Sota image model, I don't think it's going to cost more than a million dollars. It's extremely cheap. It's like a matter of data engineering effort, cleaning. It's, I think it's a function of data set.”
Disclosure
Taskaya: Flux grew Fal's revenue from $2M to $20M in two months
“In the first month of flux models, we reached from, like, two million to ten million in revenue. That was, like, a big jump. Next month, we were at 20, like, it just started going from there”
Disclosure
Taskaya: Fal optimizes inference for four major AI video companies
“We have like four different companies four, four major video companies that we are doing this with and one image company that I don't think we disclosed.”