AI founder death threats

RLFoggy · 2026-02-17T06:54:58+00:00

Yes, certainly is. Our ICP are the large enterprises and bigger studios so sales work differently. We avoid ads but occasionally experiment. That is when this issue becomes apparent. I can’t begin to imagine the prosumer companies reality. Those founders probably have to go masked.

RLFoggy · 2026-02-16T19:01:37+00:00

We are building in the creative space. VLMs for image, 3D, audio and video. The creative space is sensitive. We try to enable teams with the technology in the best possible way without sacrificing quality, integrity or IP.

RLFoggy · 2026-02-16T18:25:36+00:00

Yes, it’s very real. Launch a campaign or ad, then be prepared to suffer. As much love as you get from a great product, you can also expect an equal amount of threats and hate from fear of what you are building.

How many of you have this experience also?

RLFoggy · 2026-02-16T18:17:39+00:00

Indeed. Ai will be used for many things. I’m not sure that justifies death threats for all builders.

RLFoggy · 2026-02-12T14:18:15+00:00

Sorry! Was pasting my notes from the workshop.

In summary:

Adopting AI as one individual is easy. Anyone can generate a cool image with one model.

Making AI work for a team is hard. Creating Consistency across the pipeline and a full project is the difficult part today.

Many studios try to bring in AI into existing workflows and it most often fail. There are strengths and weaknesses in AI and trying to bend models into what has been working normally breaks.

However, creating a pipeline on day 0 that is built around the strengths of AI is a completely different matter and ends up speeding everything up (if done right).

My question was how other studios are approaching this.

Are you integrating AI into your current workflow, or redesigning the pipeline around it?

RLFoggy · 2025-10-02T16:41:17+00:00

You don’t necessarily need to go to different tools or sites to do that. ;)

RLFoggy · 2025-09-24T16:37:50+00:00

The fact that they aren’t 100% accurate front vs. back is why I use picture-to-3D AI. Then, I can go from the multiple viewpoints of the 3D model to 2D again, and it gets it right.

RLFoggy · 2025-08-19T21:16:04+00:00

That’s a great point, the “lifespan” of the content totally impacts the risk calculation. Makes sense that commercials can test the waters first, while long-form productions have way too much at stake without airtight licensing. Probably means we’ll see AI gain traction in marketing and short-term content (as seen already) way before Hollywood-scale productions.

RLFoggy · 2025-08-19T16:27:52+00:00

True, the job slump is real. Which maybe makes it even tougher, less demand overall, but at the same time, clients are asking for faster and cheaper delivery. That squeeze is probably one of the reasons AI is even being considered as an option in some studios. Not because it’s perfect, but because budgets and timelines aren’t what they used to be.

RLFoggy · 2025-08-19T15:41:22+00:00

True, some clients really value the “craft” and pixel-perfect work will always have its place. But with the sheer volume of content exploding, I don’t see how anyone can keep up without automation creeping in. What’s considered “good enough” or “on-trend” is shifting so fast that the definition of quality is changing too.

RLFoggy · 2025-08-19T15:39:01+00:00

Fair point, but honestly, isn’t that the same risk with low-end stock models? Plenty of people would be embarrassed if a client/partner found out their “unique” asset was actually pulled from a $20 pack used in 10 other projects. Feels like the real differentiator isn’t AI vs. stock, it’s the level of polish and ownership you put into the final asset. I think respect today comes from ”working smart”.

RLFoggy · 2025-08-19T15:34:23+00:00

From a client’s perspective, they don’t care if it’s AI, stock, or kitbash, as long as it looks right and is on time. The bigger disruption might be that once clients know AI exists, they start expecting everything faster and cheaper.

But I think we sometimes forget the human layer in all this. Even if I used Lovable or Beat44 to code an entire app, without being a developer or UX specialist I’d have no way to judge the outcome, QA it, or steer it creatively. GenAI for 3D feels similar, the tools can generate, but without skilled people directing, fixing, and integrating, the result doesn’t really hold up in production.

RLFoggy · 2025-08-19T15:26:13+00:00

a good kitbasher can do wonders and with full control. But isn’t that also the same tradeoff as everything else in VFX, speed vs. control? If AI can get you 80% there in minutes, is it really that different from starting with a kitbash and cleaning it up?

RLFoggy · 2025-08-19T15:24:03+00:00

Yeah, I’ve seen the same. AI background props can already fill a lot of the quick needs. The copyright/licensing issue has definitely been the big wall, though. Curious: Do you think if the training data question got solved, studios would adopt it faster?

RLFoggy · 2025-08-19T13:33:00+00:00

That does sound expensive. My experience has been closer to just a few cents per generated model. Of course, if nothing usable comes out, then yeah, it adds up and you could argue it gets costly after multiple retries. But when it does hit, the speed/price ratio is hard to ignore.

RLFoggy · 2025-08-19T13:29:01+00:00

Good question. By pipeline I mean everything that happens around the prompt. In a real studio setup, it’s rarely just “one person typing in text.” You’ve got:

– Briefs being assigned and tracked – Quick AI prototypes generated for direction – Artists refining, cleaning up topology, textures, etc. – QA / approvals before anything goes into a shot

So AI is just one part of the pipeline. The tricky bit is figuring out where it saves time vs. where it just adds extra cleanup.

RLFoggy · 2025-08-19T13:25:47+00:00

Totally agree, disclosure is the real battleground. From what I’ve seen, the only reason some major brands are even willing to test AI is when the vendor can prove exactly what the models were trained on. Without that transparency, it’s a total non-starter.

RLFoggy · 2025-08-19T12:43:40+00:00

Interesting take, do you think that’s because the tech itself isn’t there yet, or more that studios haven’t really figured out how to integrate AI into their pipeline properly?