Intent Data TradingIntent数据交易
⚡ "IFC Intent Data Market White Paper v0.1 — Minimum Full Version"
Goal:
I will output with minimum weight and maximum clarity
Structure: six paragraphs, each paragraph has only one long paragraph, no nonsense
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IFC INTENT DATA MARKET v0.1
AI data task market based on intent computing × verifiable proof of work (PoCW) × credit accumulation
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1. Mission and Vision
This system solves an old problem:
In the era of artificial intelligence, countless "data tasks requiring structured processing" are generated every day, but these tasks still rely on low-end outsourced labor, one-time buyout transactions, and lack long-term incentives and verifiable credit systems.
The core vision of IFC Intent Data Market is:
Let every data labor no longer be a low-end task that can be bought out, but a credit asset that can be proven, accumulated, mortgaged, and circulated.
For the first time in human history:
Labor = Credit Asset
Credit = financial collateral
Collateral → generate cash flow → reproduce labor
This is not a crowdsourcing platform, but a credit banking system for data labor.
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2. System core design philosophy
The entire system is based on three main lines:
Article 1: Intent is the task (Intent → Task)
All tasks are defined in natural language, such as "Parse this PDF into JSON Schema X".
Verifiable tasks can be automatically formed without contracts or DAO voting.
Article 2: Labor is proof (Task → PoCW)
The results of each task are automatically verified by the system, and the evaluation formula does not rely on artificial aesthetics, but is based on "correctness × stability × efficiency".
Article 3: Proof is credit (PoCW → Credit → Bond)
The system does not pay wages, but accumulates Credit. Credit can be further solidified into a mortgageable Bond, which is eventually mapped to Flux (cash flow equity) and AIUSD (credit stable currency).
In one sentence:
This is a structured economic system that connects "labor → credit → finance" into a closed loop.
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3. Proof of work mechanism (PoCW)
In order to make labor priceable and understandable in nature, we introduce the minimum feasible PoCW formula:
Correctness C = field matching rate
Consistency K = Consistency rate for multiple executions
Speed V = Time taken to complete the task
PoCW = C × K × log(1 + V⁻¹)
The system automatically executes each structured task:
- Schema automatic comparison
- Automatic content verification
- Direct measurement of speed
There is no need to trust anyone, and there are no subjective arbitrations, DAO disputes or manual disputes.
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4. Credit accumulation and capitalization logic (Credit → Bond → Flux)
PoCW does not directly generate money, but updates the personal credit curve:
Credit(t+1) = Credit(t) + γ × PoCW – δ × Credit(t)
- γ: Reward coefficient
- δ: attenuation coefficient (guaranteeing that continuous labor is better than one labor)
Workers with long-term stable performance will trigger:
Bond NFT issuance (reputation mortgage asset)
Example of meeting conditions:
- 90 consecutive days task PoCW > Threshold
- Correct rate > certain level
- The stability penalty is less than a certain boundary
Bond can:
- Mortgage generates AIUSD
- Sold as a "transferable reputational asset"
- Purchased by the fund to form a "labor credit pool"
Flux = cash flow certificate based on future credit growth
Allow the market to purchase future output in advance
➡️ For the first time, "laborers can be invested like Spotify music copyrights".
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5. Implementation route (90-day cold start version)
Phase 0 (first week)
The system can be run using Notion + Telegram Bot
task = PDF → JSON
Validation = Python Schema Check
Record = Google Sheet Credit Ranking
Phase 1 (Weeks 1-4)
Complete:
- Automatic acceptance system
- Credit ranking visualization
- Open multiplayer competition (AI vs humans)
Stage 2 (2nd to 3rd month)
Upgrade:
- Bond NFT casting
- Credit API
- Small task fund pool (1000 USDC size)
Phase 3 (after month 3)
Implementation:
- Credit mortgage → AIUSD loan
- Agent automatic execution → full AI task pool formation
- Labor Credit Vault (workers become credit producers)
The entire route does not rely on Token and can also be run purely off-chain first.
Once the PoCW & Credit system is stable, the chain can be switched seamlessly.
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6. The most fundamental theoretical value
This project verifies a fundamental proposition:
“Labor is not a cost, it is a credit generator.”
As long as the labor is verifiable, it can:
- Precipitated as an asset at the Credit layer
- Convert to mortgageable bond at Bond level
- Converted into future cash income at the Flux layer
- Become a stable credit currency at the AIUSD layer
We are not building a platform for crowdsourcing tasks
We are building:
The first AI economy that can convert "intention to perform tasks → generate mortgageable credit assets".
This will be the first truly operational GDP unit under the IFC system.
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END — IFC Intent Data Market v0.1
⚡ Total word count: approximately 950 words
⚡ Satisfied White Paper Structure / Pitch Terms / Core Formula / MVP Route
⚡ Can directly do GitBook / Mirror / Notion copywriting
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If you need:
⚡ v0.2 – Plus charts, feature models, and Power–Bond–Credit curves
⚡ Agent access specifications
⚡ Investor Pitch Deck 10-page version
⚡ Chinese Whale Fall Edition (Literary + Philosophical Style)
In a sentence, I can generate it directly.
⚡ 《IFC Intent Data Market 白皮书 v0.1 — 最小完整版本》
目标:
我将以最小重量、最大清晰度输出
结构:六大段,每段只有一段长文,无废话
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IFC INTENT DATA MARKET v0.1
基于意图计算 × 可验证工作证明(PoCW) × 信用累积的 AI 数据任务市场
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一、使命与愿景
本系统解决一个古老问题:
人工智能时代,每天产生无数 “需要结构化处理的数据任务”,但这些任务今天仍依赖低端外包劳动力、一次性买断交易、缺乏长期激励与可验证的信用体系。
IFC Intent Data Market 的核心愿景是:
让每一次数据劳动都不再是被买断的低端任务,而是可证明、可累积、可抵押、可流通的信用资产。
这是人类历史上第一次:
劳动 = 信用资产
信用 = 金融抵押品
抵押品 → 产生现金流 → 再生产劳动
这不是众包平台,而是 数据劳动的信用银行系统。
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二、系统核心设计哲学
整个系统基于三条主线:
第一条:意图即任务(Intent → Task)
所有任务以自然语言定义,例如 “将这份 PDF 解析为 JSON Schema X”。
无需合约,无需 DAO 投票,即可自动形成可验证任务。
第二条:劳动即证明(Task → PoCW)
每份任务的结果均由系统自动验证,评价公式不依赖人工审美,而基于 “正确性 × 稳定性 × 效率”。
第三条:证明即信用(PoCW → Credit → Bond)
系统不发工资,而是累积 Credit,Credit 可进一步固化为可抵押的 Bond,最终映射到 Flux(现金流权益)与 AIUSD(信用稳定币)。
一句话:
这是一个把“劳动 → 信用 → 金融”串成闭环的结构化经济系统。
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三、工作证明机制(PoCW)
为了让劳动可定价、本质可理解,我们引入最低可行 PoCW 公式:
Correctness C = 字段匹配率
Consistency K = 多次执行一致率
Speed V = 任务完成耗时
PoCW = C × K × log(1 + V⁻¹)
系统对每一次结构化任务自动执行:
- Schema 自动比对
- 内容自动校验
- 速度直接测量
无须信任任何人,不存在主观仲裁、DAO纠纷或人工争议。
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四、信用累积与资产化逻辑(Credit → Bond → Flux)
PoCW 并不直接产生金钱,而是更新个人信用曲线:
Credit(t+1) = Credit(t) + γ × PoCW – δ × Credit(t)
- γ:奖励系数
- δ:衰减系数(保证持续劳动优于一次劳动)
长期表现稳定的劳动者将触发:
Bond NFT 发行(声誉抵押资产)
满足条件示例:
- 连续 90 天任务 PoCW > 阈值
- 正确率 > 某水平
- 稳定性惩罚小于某边界
Bond 可以:
- 抵押生成 AIUSD
- 作为“可转让声誉资产”出售
- 被基金购买,组成“劳动信用池”
Flux = 基于未来信用增长的现金流凭证
允许市场提前购买未来产出
➡️ 第一次实现 “劳动者可以像 Spotify 音乐版权一样被投资”。
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五、落地路线(90 天冷启动版本)
阶段 0(第一周)
系统用 Notion + Telegram Bot 即可运行
任务 = PDF → JSON
验证 = Python Schema Check
记录 = Google Sheet Credit 排行
阶段 1(第 1~4 周)
完成:
- 自动验收系统
- Credit 排行榜可视化
- 开放多人竞赛(AI vs 人类)
阶段 2(第 2~3 月)
升级:
- Bond NFT 铸造
- 信用API
- 小额任务资金池(1000 USDC 规模)
阶段 3(第 3 月之后)
实现:
- Credit 抵押 → AIUSD 借贷
- Agent 自动执行 → 全 AI 任务池形成
- Labor Credit Vault(劳动者成为信用生产者)
整个路线不依赖 Token,也可以先纯链下运行。
一旦 PoCW & Credit 系统稳定,可无缝切换链上。
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六、最根本的理论价值
本项目验证一个根本命题:
“劳动不是成本,而是信用生成器。”
只要劳动可验证,它就能:
- 在 Credit 层沉淀为资产
- 在 Bond 层转化为可抵押债券
- 在 Flux 层转化为未来现金收入
- 在 AIUSD 层成为稳定信用货币
我们不是建立一个众包任务平台
我们是在建立:
第一个能够将“意图执行任务 → 生成可抵押信用资产”的 AI 经济体。
这将成为 IFC 体系下第一个真正可运行的 GDP 单元。
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END — IFC Intent Data Market v0.1
⚡ 总字数:约 950 字
⚡ 已满足 白皮书架构 / Pitch 用语 / 核心公式 / MVP 路线
⚡ 可直接做 GitBook / Mirror / Notion 文案
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如果你需要:
⚡ v0.2 – 加上图表、要素模型和 Power–Bond–Credit 曲线
⚡ Agent 接入规范
⚡ 投资人 Pitch Deck 10 页版
⚡ 中文鲸落版(文学 + 哲学风)
一句话,我可以直接生成。