MIND AI is a token that turns knowledge into value. Contribute what you know, earn $MINDAI,
and govern a community-owned AI that doesn't need a billion-dollar GPU farm.
No venture capital. No board room. Just you, your knowledge, and a token that rewards thinking.
And it's not just about who profits — it's about who decides what the AI learns, how it behaves, and who gets to use it.
A handful of companies spend billions on GPU clusters, train models on user data without asking, then charge you to use it. If you're not paying, you're the product.
No GPU farm needed. We start with open-source AI models and upgrade them through community-contributed knowledge. You submit, you vote, you earn, you use. That's the loop.
Four steps. One continuous cycle. No mining rig required — just a working brain.
Get tokens on pump.fun or Raydium. $MINDAI is your key to the ecosystem — to submit, to vote, to use the AI.
Spend a few $MINDAI to submit tutorials, articles, code snippets, Q&As. AI needs to learn from real humans — that's you.
Token holders vote on submissions. Quality content gets accepted. Both submitter AND voters get rewarded in $MINDAI.
Pay $MINDAI to ask the AI questions. 50% burns (deflation). 50% goes to the content creators who made the answer possible.
The more people contribute, the smarter the AI gets. The smarter it gets, the more people want to use it. The more it's used, the more $MINDAI gets burned. Simple economics.
Holders get access. Contributors earn access. Everyone helps decide what the AI learns next.
Ask the AI any question. It draws from the community knowledge base plus open-source models. Every query burns tokens.
Submit a topic for the AI to research across the full knowledge base. Get a comprehensive report with cited community sources.
Vote on what the AI should learn next, which knowledge to prioritize, and (Phase 4) model parameters and treasury allocation.
Every AI interaction burns tokens. The more people use it, the scarcer it gets.
Every time someone uses the MIND AI, they spend $MINDAI. 50% of those tokens are permanently burned — removed from circulation forever. The other 50% goes to the community members whose knowledge contributed to the answer.
More usage → More burning → Less supply → Value for holders. No inflation. No VC unlocks dumping on you. Just supply & demand.
No fluff. No promises we can't keep. Here's the architecture.
We use open-source LLMs (DeepSeek, Qwen, or similar) as the foundation. No training required — these models already understand language. Our job is to make them knowledgeable about what the community cares about.
RAG = Retrieval-Augmented Generation. instead of retraining the model, we build a community-curated database of knowledge. When you ask a question, the AI searches this database first, then generates an answer from the best sources.
LoRA is a technique that adapts large models with very little compute. A single RTX 5090 (yes, the one in our office) can run a LoRA fine-tune in hours. As the knowledge base grows, we periodically fine-tune the model to internalize common community knowledge.
Every action in the ecosystem circulates $MINDAI. Submit? Costs a little. Get accepted? Earn more. Vote? You're rewarded. Use the AI? Pay in $MINDAI, half burns, half goes to the knowledge contributors who made that answer possible.
Honest timelines. No "we'll moon by Q3" nonsense.
Token deployed on Solana via pump.fun. Website live. Telegram community active. Basic knowledge voting starts with manual curation to test the model. Goal: 500 holders.
🔨 Building NowTelegram bot + web interface for submitting and voting on knowledge. Full token integration — submit costs $MINDAI, rewards paid automatically. RAG knowledge base goes live.
Next UpMIND AI public — token-gated access. Pay $MINDAI, ask questions, get answers from the community knowledge base. First LoRA fine-tune based on accumulated knowledge. Burn mechanism active.
PlannedFull DAO: holders vote on model selection, treasury allocation, partnership proposals, and AI behavior parameters. The community truly owns the AI. No single point of control.
VisionWe get it. Crypto is full of scams. Here's the honest answers.