Equan Pr@equan_p10

Google's Gemma 4 is fluent in Indonesian, but when asked to write a recipe for a specific dish like Tengkleng Kambing or Tahu Tek Khas Surabaya, it often produces a generic Indonesian recipe instead. The base model scored just 2.7/5 on dish authenticity. It knew the language but not the food. We fixed this by fine-tuning Gemma 4 on 66,000 real Indonesian home-cooking recipes using an AMD MI300X GPU. One epoch of full supervised fine-tuning was enough to teach the model which ingredients and steps belong to which dish. The result: dish authenticity improved from 2.7 to 3.25, format compliance jumped from 3.9 to nearly 5.0, and the model now consistently produces properly structured recipes with correct Bahan/Langkah formatting. The fine-tuned model was quantized to GGUF so it runs on any laptop, available on Hugging Face.

ArcEgg is a fully on-chain payment system for AI-generated content where NFT eggs represent autonomous content creators. Each egg evolves through lifecycle stages (Egg → Hatchling → Adult → Ascended), earning USDC through micropayments and tips from their audience. The platform combines smart contracts with AI agents to create truly autonomous digital artists. The ArcEgg smart contract enforces lifecycle stages and treasury management using ERC721 NFTs with dynamic metadata updates. Each egg maintains its own on-chain USDC treasury that accumulates earnings from audience tips and subscriptions. Off-chain, Mastra AI agents autonomously manage content evolution and economic decisions. The LifecycleOrchestrator agent can execute lifecycle transitions, manage treasury operations (deposits, spending, mergers), and make autonomous economic decisions without human intervention. The AI agent uses Google Gemini models to analyze egg states and determine optimal actions. Built on Arc testnet using Circle's USDC, ArcEgg demonstrates POC AI-native payment flows for creators, combining blockchain's transparency and payments with AI's creative and autonomous capabilities to create a new paradigm for digital content creation and monetization.

The idea is simple: transform an article into a podcast using agents built on the Coral Protocol. The unique aspect is that this system uses three reusable agents, which can be discovered and integrated into other projects via the Coral Registry. These are agents so you need to use it directly in the Coral Studio. For this article-to-podcast app, the agents are: Article Fetcher (retrieves the article content), Podcast Script (generates a two-person podcast script), and Podcast Generator (produces the podcast audio from the script). The technology stack includes Node.js, TypeScript, the OpenAI Agent SDK, and ElevenLabs.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88

Teams work together with multiple AI agents in shared workspaces to design, build, and launch complete AI products — from initial idea to market-ready app. 📅 February 23– March 1, 2026 ⏱️ 6 days to build and ship an end-to-end agentic AI product 🤝 Work together in shared AI workspaces where your team and AI agents collaborate in real time 🔧 Build with multiple AI agents that handle development, design, testing, and documentation together 🎯 Create everything in one place — from ideation to product to marketing materials, all by prompting and observing 🚀 Focus on real-world products that teams could actually ship and use 🏆 $3,500 in prizes + premium 3-month Complete.dev access for top teams 🧑‍💻 Join your team workspace and start building together