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:

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.

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 Devaarrow-up-right, 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.

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