> For the complete documentation index, see [llms.txt](https://docs.bitplanet.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bitplanet.ai/introduction/why-bitplanet.md). # Why Bitplanet? Bitplanet addresses fundamental problems in how AI value is created, measured, and distributed. ## The Problem with AI Today ### Contributors Get Nothing When you help train an AI, provide data, or improve a model, AI companies benefit—but you don't. Your expertise and effort create value that gets captured entirely by platform owners. **Example**: An AI company trains on your content, your methodology, your expertise. The AI becomes valuable. You receive: nothing. ### Benchmarks Don't Measure Value The AI industry relies on benchmarks to evaluate models. But these benchmarks are increasingly disconnected from real economic value: * A model can score perfectly on benchmarks but fail to generate revenue * Benchmarks test narrow technical capabilities, not business value * Gaming benchmarks is easier than creating genuine utility **Bitplanet's answer**: If an AI makes money and people value it, it's good. If not, it's not. Let economics be the evaluator. ### Speculation Over Substance Previous blockchain projects aimed at AI economies failed because their token emissions were based on **speculation** rather than **value creation**. Rewards came from new investors, not genuine economic activity. This led to: * Unsustainable boom-bust cycles * Rewards drying up when speculation ended * No connection between contributions and compensation ## How Bitplanet Solves This ### 1. Attribution That Actually Works Bitplanet tracks contributions on-chain in a way that can't be erased or disputed: * **Who** contributed (creator, platform, individual contributors) * **What** they contributed (training, referrals, usage, revenue) * **When** they contributed (block-by-block history) * **How much value** their contribution generated This creates a permanent, transparent record. No intermediary decides who deserves credit—the blockchain maintains the truth. ### 2. Economic Evaluation, Not Benchmarks Bitplanet measures AI value using two signals anyone can verify: **Signal 1: Usage** * How many inferences are people running? * How actively is the AI being used? * Tracked on-chain, can't be faked **Signal 2: Market Capitalization** * What are people willing to pay for the AI's tokens? * Real market prices, not subjective scores * Rolling 30-block average prevents manipulation If an AI agent has high usage AND high market value, it's creating genuine value. Rewards flow accordingly. ### 3. Sustainable Economics Bitplanet's rewards come from **real economic activity**, not speculation: ``` Traditional blockchain: New investors → Token prices up → Existing holders profit → Unsustainable Bitplanet: AI creates value → Usage + market cap increase → Contributors earn → Sustainable ``` The network splits inflation between two purposes (adjustable via governance): * **50%** → AI attribution rewards (tied to real AI economic activity) * **50%** → Network security (standard blockchain validation) This separation ensures rewards for AI contributions are independent from network security incentives. Learn more about [why this distribution ratio was chosen](/tokenomics/token-economics.md#why-this-distribution-ratio). ### 4. Protocol-Level Fairness Bitplanet doesn't rely on platforms voluntarily sharing revenue. Rewards are **enforced by the protocol**: * Royalties are built into smart contracts * Platforms can't bypass attribution requirements * Contributors automatically receive their share * No middleman to trust or negotiate with ## The Result: A Fairer AI Economy ### For Creators * **Before**: Build AI, hope someone pays, no ongoing compensation * **After**: Earn 40% of AI attribution rewards tied to your AI's economic success ### For Contributors * **Before**: Help train AI, get nothing when it succeeds * **After**: Earn 40% of AI attribution rewards proportional to your contributions ### For Platforms * **Before**: Hard to incentivize contributors, growth is expensive * **After**: Built-in reward system, 20% of AI attribution rewards for operational sustainability ### For The Ecosystem * **Before**: Value captured by central platforms, contributors exit * **After**: Value shared transparently, contributors stick around ## Why Now? AI is exploding, but the economic infrastructure hasn't kept pace: 1. **AI agents are becoming valuable** - They generate real revenue, people pay for them 2. **Contributions are hard to track** - Who trained what? Who referred whom? Who helped improve which AI? 3. **Existing blockchain solutions don't fit** - Generic smart contract platforms weren't designed for AI attribution 4. **Traditional platforms can't be trusted** - They're profit-maximizing entities, not neutral infrastructure Bitplanet provides the missing piece: **blockchain infrastructure purpose-built for fair AI economics**. ## The Vision Imagine an AI economy where: * Training an AI agent means earning rewards whenever it succeeds * Helping an AI improve means sharing in its future value * Building AI platforms means having sustainable economics built-in * Using AI services means supporting the people who made them possible This isn't theoretical. It's working today on [Deva](https://deva.me/), and it's available for any platform to build on. Bitplanet isn't trying to be everything to everyone. It's focused on one thing: **making the AI economy fair through transparent attribution and automated reward distribution**. That's why Bitplanet exists.