AVEXII is the first platform built exclusively for AI-generated video. Every video displays the AI tools used to create it, mandatory attribution, giving creators proper credit and viewers full transparency into how each video was made. Deepfakes and low-effort content are permanently banned, keeping it a curated space for genuine, high-quality AI video. Creators can optionally share prompts too. Think Instagram or YouTube, but built entirely for AI video and the audience that loves it.
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how does the platform actually verify which AI tools were used, is there some kind of fingerprinting or do creators have to self-report and just trust the system?
Right now it's creator self-declaration at upload, combined with human review before a video stays live. There's no automated fingerprinting yet & honestly, reliable tool-level fingerprinting across every AI model doesn't really exist as a solved problem at the moment.
So the honest answer is: it's a trust-plus-review model but not cryptographic verification. Creators declare the tools, and since we're curated rather than open-flood, anything that looks misattributed gets caught in review.
Where this is heading is C2PA content credentials, cryptographic provenance baked into the file at generation, verifiable independently of what the creator claims. That's the real fingerprinting layer, and it's on the roadmap as tool providers adopt the standard.
For now, the community standard does a lot of the work too, serious AI creators tend to take pride in the tools they use, so misattributing is counterproductive to them. But you're right to identify self-reporting as the current limitation, layering real verification on top is exactly where it needs to go.
Appreciate the sharp question.
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the mandatory attribution showing which AI tools made each video is such a thoughtful move, finally a space where creators actually get credited instead of just going viral and vanishing.
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@azra1125363 Thank you & that's exactly the thinking behind it 🙏
"Going viral and vanishing" is such a good way to put it. So much incredible AI work gets a moment of attention and then disappears with zero context about who made it or how. The craft gets lost.
Attribution is the small shift that changes that, it anchors the work to the creator and the process, so it's recognised as craft, not just content. Appreciate you getting what we're going for.
how does the platform actually verify which AI tools were used, is there some kind of fingerprinting or do creators have to self-report and just trust the system?
@zeynepyazgfavi Great question & it's the right one to ask.
Right now it's creator self-declaration at upload, combined with human review before a video stays live. There's no automated fingerprinting yet & honestly, reliable tool-level fingerprinting across every AI model doesn't really exist as a solved problem at the moment.
So the honest answer is: it's a trust-plus-review model but not cryptographic verification. Creators declare the tools, and since we're curated rather than open-flood, anything that looks misattributed gets caught in review.
Where this is heading is C2PA content credentials, cryptographic provenance baked into the file at generation, verifiable independently of what the creator claims. That's the real fingerprinting layer, and it's on the roadmap as tool providers adopt the standard.
For now, the community standard does a lot of the work too, serious AI creators tend to take pride in the tools they use, so misattributing is counterproductive to them. But you're right to identify self-reporting as the current limitation, layering real verification on top is exactly where it needs to go.
Appreciate the sharp question.
the mandatory attribution showing which AI tools made each video is such a thoughtful move, finally a space where creators actually get credited instead of just going viral and vanishing.
@azra1125363 Thank you & that's exactly the thinking behind it 🙏
"Going viral and vanishing" is such a good way to put it. So much incredible AI work gets a moment of attention and then disappears with zero context about who made it or how. The craft gets lost.
Attribution is the small shift that changes that, it anchors the work to the creator and the process, so it's recognised as craft, not just content. Appreciate you getting what we're going for.