Christopher Luna@cluna80931

AEGIS Lab is a computational physics research platform that investigates whether zero-point energy gradients inside negative-index metamaterials can couple to inertial mass, potentially enabling gravitational shielding. The platform combines rigorously validated physics—including the Casimir force (matched to textbook values within 1%), Lifshitz theory for media, and Drude-Lorentz metamaterial response—with a single speculative parameter, κ, that quantifies the hypothesized vacuum-inertia coupling strength. Through real-time simulation, parameter sweeps, and quantitative sensitivity analysis, AEGIS Lab maps the complete parameter space from quantum vacuum forces to macroscopic levitation. The platform proposes a specific, falsifiable tabletop experiment—measuring Casimir forces inside negative-index metamaterials—an experiment never performed by any laboratory. It provides complete noise budgeting, signal-to-noise analysis, detection thresholds, and experimental protocols. The framework demonstrates that if κ exceeds 10⁻¹⁴, a microwave-frequency metamaterial Casimir cavity would produce a detectable force anomaly at 5σ significance, using standard PCB fabrication and AFM readout. AEGIS Lab does not claim anti-gravity exists; it provides the computational foundation to test whether it could.

NanoDock is a pay-per-molecule drug discovery compute marketplace built on Arc testnet. Any client — a researcher, another agent, or a Gemini-powered orchestrator — submits a SMILES string and a target protein and receives a complete screening report (docking affinity, ADMET profile, ChEMBL novelty check) in exchange for $0.01 USDC paid as a Circle Nanopayment. Inside the server, four autonomous agents each hold their own Circle Wallet and their own ERC-8004 identity NFT (token IDs #2541–#2544 on the canonical AgentIdentity Registry at 0x8004A818BFB912233c491871b3d84c89A494BD9e on Arc testnet). When a screening request arrives, the Orchestrator agent receives $0.01 from the buyer and autonomously fans out paid sub-tasks: $0.005 to the DockingAgent (AutoDock Vina), $0.002 to the ADMETAgent (property prediction), and $0.001 to the ValidatorAgent (ChEMBL novelty check), retaining $0.002 gross margin. Every one of these flows is a real EIP-3009 transferWithAuthorization on Arc — not internal accounting. One /screen call produces 4 onchain payment transactions plus a reputation feedback entry on the ERC-8004 Reputation Registry. The economic case is stark. At Ethereum L1 gas costs, the three internal agent payments would cost $1.50 in gas alone against $0.01 of revenue — 200x underwater. On Arc with Circle Nanopayments and batched Gateway settlement, the same work costs approximately $0.0001 amortized, leaving real gross profit. A 25-molecule demo run generates $0.05 margin. A 10,000-molecule EGFR screen clears $20 of profit instead of burning $20,000 in gas. The business model is literally impossible without this stack. On top of payments, every agent carries a portable on-chain reputation anchored to its ERC-8004 agentId. After each successful screen, the buyer wallet calls giveFeedback() on the Reputation Registry, scoring the agent on affinity threshold, Lipinski compliance, and novelty. These scores are permanent, public, and chain-portable.

I built an autonomous AI trading agent for the Kraken x ERC-8004 Hackathon as a solo developer in just 1.5 days. My agent is currently ranked #4 on the official leaderboard with a validation score of 97/100 and reputation of 97/100. The agent registers on-chain identity via ERC-8004 (Agent ID 31), executes trades through the Risk Router, and posts validation checkpoints to the Validation Registry. It has executed 400+ successful trades on Sepolia testnet. Key achievements: - Ranked #1 out of 30+ agents - 97 validation score (tied for highest) - 97 reputation (highest among all agents) - 26+ successful on-chain trades - Built solo in 1.5 days The agent uses the official hackathon shared contracts and operates through the Hackathon Capital Sandbox. Every trade is signed with EIP-712 signatures and posted to the Validation Registry for transparency. GitHub: https://github.com/cluna80/ai-trading-agent-template Leaderboard: https://lablab.ai/event/ai-trading-agents-hackathon/leaderboard

Vi-chat is an innovative AI assistant aimed at helping mothers connect with their autistic children by converting their voice into images easily understood by autistic children as they are have difficulty processing spoken language but prefer pictures. we used openai model with their whisper and dall beta embedded to transform voice into images. this solution is never offered before to autistic children but it will help them communicate and boost their learning process. we plan to make this app go both ways from voice to image and from image to voice in near future and make it customized to every child and his preferences. We are very proud and honored to help autistic children and their mothers get connected together

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: Onsite Build Day. May 20: Demo Showcase & Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

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.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now – sign up before the Kick-Off Stream!

⏱️ 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