🚀 Gate Square “Gate Fun Token Challenge” is Live!
Create tokens, engage, and earn — including trading fee rebates, graduation bonuses, and a $1,000 prize pool!
Join Now 👉 https://www.gate.com/campaigns/3145
💡 How to Participate:
1️⃣ Create Tokens: One-click token launch in [Square - Post]. Promote, grow your community, and earn rewards.
2️⃣ Engage: Post, like, comment, and share in token community to earn!
📦 Rewards Overview:
Creator Graduation Bonus: 50 GT
Trading Fee Rebate: The more trades, the more you earn
Token Creator Pool: Up to $50 USDT per user + $5 USDT for the first 50 launche
AIOZ AI builds a decentralized full-stack AI infrastructure, focusing on "more efficient, more secure, more accessible".
The AIOZ AI ecosystem based on DePIN is building a full-stack decentralized artificial intelligence infrastructure aimed at allowing developers, researchers, and technical teams to have better control over their AI assets. AIOZ Network founder and CEO Erman Tjiputra stated that traditional AI models are often developed in opaque environments, lacking transparency, whereas AIOZ AI's distributed approach provides “more efficient, more secure, and more accessible” AI computing.
Through AIOZ AI, users can upload datasets and train models, and also receive token rewards based on model performance and usage by others. All of this is supported by the decentralized physical infrastructure network (DePIN) of AIOZ Network, with over 300,000 devices contributing idle computing power for AI computation, decentralized storage, and content distribution.
The AIOZ AI platform already has various available models, including image-to-image processing (such as background removal, background replacement, image-to-animation, and video to Canny edge algorithm) and lightweight efficient image super-resolution (SR) models that can reconstruct low-resolution images into high-fidelity images, supporting digital content creation and archival restoration. Future applications may also include streaming real-time video upscaling, bandwidth adaptive image optimization, as well as object-aware image sharpening and detail recovery tools.
Tjiputra emphasized that with AIOZ AI, developers can take control of their models and datasets, run them on community computing resources, and receive token rewards when the results are applied in real-world scenarios. The goal of AIOZ AI is to empower contributors through decentralized methods while making it easier for innovators to deploy AI solutions that benefit the public, driving AI computing towards a more transparent, collaborative, and equitable direction. (Decrypt)