The @rendernetwork recently put out a proposal to create 1 billion 3D assets for the purposes of training 3D AI models. It would be the largest data source of its kind, many times over. This essentially creates a new "train-to-earn" framework on the Render Network. Have GPU? Use it to create 3D assets and earn based on the real world revenue generated from training and inferencing done on those assets. How much could those assets be worth? Well, Reddit has already made $200M from licensing its data for AI training. OpenAI has a deal with Axel Springer, owner of Politico and Business Insider, for "tens of millions of dollars" to use its content for training. Text is everywhere on the internet, but 3D assets are scarce, so is the largest 3D dataset in the world more or less valuable than these text assets? I'm not sure, we will find out. Who might be interested in having high quality 3D assets for training? Anyone who believes the future is generative and spatial, which could include: -Apple and Facebook for 3D generative AI on their headsets -SORA challengers, such as the hundreds of competitor models that will come about -Hollywood for generative assets in films -Artists, for generative assets to augment workflows -Robot makers, who need to train their models on real-world 3D physics -And many more Finally, creating 3D assets is just one way to partake in this "train-to-earn" economy being proposed by $RENDER. Staking $RENDER is another, as staking will be introduced and stakers will share in this revenue stream. However bullish you were $RNDR for being the largest decentralized GPU network in the world, you must grow even more bullish as it adds decentralized AI training coordination to its roadmap.