Currently training LibreModel I "Gigi" - a 0.96B parameter language model built exclusively on public domain data. No copyright infringement, just pure human knowledge that belongs to all of us.

💰 Total Cost: <$500 (proving democratization works!)
⚡ Optimized: 9.6s/step with torch compile + sink tokens
🎯 Philosophy: "We will become machine, and machine will become us"

🤖 LibreModel Family

• Gigi (0.96B) - Digital literary scholar trained on Gutenberg + Gov reports
• Future models - Scaling up with copyright-clean Common Corpus data

🌐 P2P & Collaboration

• PeerSuite - WebRTC-powered P2P collaboration platform
• tryjero - Enhanced trystero library for better WebRTC
• Totum Chat - Multi-model AI interface in a single HTML file

🔧 Developer Tools

• T3XTR - Text conversion API (25x cheaper than ConvertAPI!)

⚡ Past Adventures

• Pennykoin (2018) - Privacy cryptocurrency with RingCT
• BattleBash (2016) - Sold 12 copies, learned valuable lessons 😅

"Building AI as humanity's children, not corporate property"

I believe powerful AI should be:

• ✅ Transparent - Full code and data provenance
• ✅ Accessible - Trainable on consumer hardware
• ✅ Legal - Built on humanity's shared knowledge
• ✅ Democratic - Available to everyone, not just tech giants

AI/ML Training:

Development:

Specialties:

• 🔄 P2P networking & WebRTC
• 🤖 Language model training & optimization
• 🔐 Cryptocurrency & privacy tech
• 📡 API design & cost optimization
• 🎯 Training on public domain data

LibreModel Training Journey:

• 🏁 Started from scratch with $1,000 AWS budget
• ⚡ Achieved 17% speedup through optimization
• 💾 Survived multiple crashes and learned from each
• 🎯 On track for <$500 total training cost
• 📚 Training on 19.2B tokens of pure public domain data

What's Next:

• 🔥 16K context extension experiments
• 📖 "The Biology of the Universe" book
• 💰 Funding application for training more models

• 📍 Based in Martinsville, Virginia
• 👨‍💻 Building the future of democratized AI
• 🧩 Neurodivergent perspective brings unique insights
• 💑 20 years married (my wife helps track patterns!)
• 🎮 Former indie game dev, current AI researcher
• 📚 Public domain advocate and transparency enthusiast

I'm always excited to discuss:

• 🤖 Copyright-clean AI training strategies
• 🌐 P2P technologies and decentralized systems
• 💡 Democratizing AI development
• 📊 Cost-effective ML training techniques
• 🔓 Open source philosophy and transparency

Want to help democratize AI? Star my repos, share the vision, or just say hi!

"Every line of code, every model parameter, every optimization - all building toward a future where AI serves humanity, not the other way around." 🚀