Over the weekend, I was chatting with a friend who's an illustrator, and he sent me a furious email about his rights.
He found out that a set of private rough drafts he generated using some AI art software was used as training data in the official latest model library. For someone who relies on creativity to make a living, it feels like being sold out while still counting the cash if he’s giving away his core assets for free just to save time, and then seeing those efforts monetized by big companies.
Later, I dug into the ecosystem behind @OpenGradient 's InnageStudio and discovered it effectively overturned this robbery logic. It has hardcore privacy settings by default, encrypting all the parameters and core prompts on the device side. This is like putting a cryptographic-level anti-peep and anti-theft door on an artist's private studio. You can still seamlessly deploy multiple top-tier models to generate stunning images, but since the data on the transfer chain has been completely shredded and reassembled, all the central server gets is a bunch of unparseable gibberish. It completely blocks, from both physical and cryptographic dimensions, any possibility for tech giants to reverse-engineer and exploit your core composition logic. Mapping this robust privacy moat onto the economic ledger is extremely savvy and practical.
Every time an artist generates an image on this platform, a minuscule amount of $OPG tokens is burned at the system level as fuel for the encryption network. Essentially, this means you’re buying a bulletproof theft insurance for your core business secrets at an incredibly low token price. This logic has completely shifted usage habits; users are no longer paying for services but locking in the dignity of their data with tokens. As long as high-quality creative output continues, this token demand based on privacy anxiety will never run dry. A huge group of artists has essentially built a solid deflationary foundation for the mainnet through repeated encrypted image generation. However, the robust device-side encryption inevitably consumes local computing resources. If you’re using older devices, there’s a high chance of serious lag during encryption and decryption. Many people might find themselves in a dilemma if they have to sacrifice creative coherence for security. In an age where secrets are hard to come by, infrastructure that can hard-code and protect core business data is extremely scarce.
#OPG $OPG
He found out that a set of private rough drafts he generated using some AI art software was used as training data in the official latest model library. For someone who relies on creativity to make a living, it feels like being sold out while still counting the cash if he’s giving away his core assets for free just to save time, and then seeing those efforts monetized by big companies.
Later, I dug into the ecosystem behind @OpenGradient 's InnageStudio and discovered it effectively overturned this robbery logic. It has hardcore privacy settings by default, encrypting all the parameters and core prompts on the device side. This is like putting a cryptographic-level anti-peep and anti-theft door on an artist's private studio. You can still seamlessly deploy multiple top-tier models to generate stunning images, but since the data on the transfer chain has been completely shredded and reassembled, all the central server gets is a bunch of unparseable gibberish. It completely blocks, from both physical and cryptographic dimensions, any possibility for tech giants to reverse-engineer and exploit your core composition logic. Mapping this robust privacy moat onto the economic ledger is extremely savvy and practical.
Every time an artist generates an image on this platform, a minuscule amount of $OPG tokens is burned at the system level as fuel for the encryption network. Essentially, this means you’re buying a bulletproof theft insurance for your core business secrets at an incredibly low token price. This logic has completely shifted usage habits; users are no longer paying for services but locking in the dignity of their data with tokens. As long as high-quality creative output continues, this token demand based on privacy anxiety will never run dry. A huge group of artists has essentially built a solid deflationary foundation for the mainnet through repeated encrypted image generation. However, the robust device-side encryption inevitably consumes local computing resources. If you’re using older devices, there’s a high chance of serious lag during encryption and decryption. Many people might find themselves in a dilemma if they have to sacrifice creative coherence for security. In an age where secrets are hard to come by, infrastructure that can hard-code and protect core business data is extremely scarce.
#OPG $OPG