Revolutionizing Blockchain Gaming: AI-Driven NFT Battleground
Discover Orphic, a groundbreaking decentralized gaming platform that combines AI, voice commands, and blockchain to redefine NFT-based gaming. Engage in dynamic Dragons vs. Tigers battles powered by Chainlink VRF for true randomness, AI-generated unique NFTs, and seamless integration with Telegram. Experience intuitive gameplay, natural language trading, and a transparent, on-chain ecosystem that democratizes blockchain gaming for everyone.
Does the same job
all alternatives →- ADA Decentralized NFT Based Gaming Platform (Dragons vs. Tigers)2024 · github.com · ▲8
Unleash Dragons, Tame Tigers, and Let AI Handle the Chaos – The NFT Battleground Where Monsters, Blockchain, and Your Voice Collide! Problem Orphic Solves Orphic revolutionizes blockchain gaming by comprehensively addressing critical technological and user experience limitations in the current NFT gaming landscape. Technical Challenges Resolved 1. Dynamic Asset Generation AI-powered artwork and monster creation ensure each NFT is genuinely unique Advanced GAN models generate statistically diverse and visually compelling assets Dynamic stat evolution creates inherent, gameplay-driven value…



- LALegion, an as-simple-as-possible blockchain server written in Haskell2017 · github.com · ▲239
- ABA battle game for any of your EVM blockchain NFTs2023 · bcbattlearena.com · ▲6
Hey everybody, I've been building a battle game where the world of NFTs meets Super Smash Bros. It works with most standard ERC721 NFTs on Ethereum, Polygon, and Arbitrum. The game takes your NFT, crops it, and puts it into a mech suit with guns. I'm still building out the features such as multiplayer and custom mech suits and additional power ups. If you are into NFTs I would love you to try out this early single player version and give me your feedback.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com

