# Want to Build the Future of AI? Join the i³ Fellowship

#### Apply Today and Bring Your Decentralized AI Project to Life

At Intelligence Cubed (i³), we believe AI should be open, decentralized, and accessible to everyone. That’s why we created the **i³ Fellowship** — a unique opportunity for researchers, engineers, and builders to get funded for developing the next wave of open-source, tokenized intelligence.

Whether you're training your own model, fine-tuning a niche LLM, or experimenting with decentralized compute, this is your chance to gain support, visibility, and a path to long-term sustainability.

**No Web3 experience? No problem.** Even if you have no background in blockchain or crypto, you're absolutely welcome. If you come from a machine learning background, we’ll support you every step of the way — including helping tokenize and deploy your model. That’s our job.

#### Why the i³ Fellowship Exists

Today’s AI ecosystem is dominated by closed systems and centralized platforms. Innovation is often stifled by paywalls, proprietary APIs, and a lack of creator incentives.

The i³ Fellowship aims to flip that script. We support independent builders, open-source contributors, and researchers who are paving a new path toward AGI — one powered by community, collaboration, and crypto-native infrastructure.

#### What You Get as a Fellow

***Research Funding***

* $5,000 - $100,000 for individuals
* $7,500 - $200,000 for teams
* Bonus credits based on progress and community impact

***Recognition & Visibility***

* Demo Days and Showcases to feature your work
* Hackathons with prize pools and partner support
* Connect with investors, institutions, and developers in the i³ ecosystem

***Tools & Infrastructure***

* Model hosting and monetization on the i³ Modelverse
* Benchmarking, usage analytics, and tokenized staking rewards

***Legal & Advisory Resources***

* Licensing templates, IP guidance, and DAO governance tools
* Expert support from Web3 and academic mentors

#### Fellowship Tracks

Explore any of these areas:

***Decentralized Model Training***&#x20;

Use distributed compute and on-chain logic to train performant models.

***Fine-Tuning & Modular AI***&#x20;

Customize and stack models for targeted use cases in domains like healthcare, robotics, or education.

***Tokenomics & Rewards***&#x20;

Design smart, fair incentive systems that reward creators for training, remixing, and contributions.

***Evaluation & Benchmarking***&#x20;

Create transparent systems for rating, curating, and improving models as a community.

#### Who Should Apply?

We're looking for:

* PhD students, researchers, and open-source builders
* AI engineers and LLM tinkerers
* Web3-native devs with interest in tokenized infrastructure
* Interdisciplinary teams exploring AI + crypto innovation

**And again — if you only have an ML or AI background, you're more than welcome. We’ll handle the Web3 side of things with you.**

If you're excited about decentralized intelligence, we’re excited to back your work.

#### Fellowship Timeline

A 12-month program with four progressive phases:

* **Months 0–3:** Onboarding and infrastructure setup
* **Months 3–6:** Hackathon + Midterm Review
* **Months 6–9:** Deep development + ecosystem collabs
* **Months 9–12:** Final showcase + community integration

#### Apply Now

The process is simple:

* Submit your project proposal and background
* Outline your goals, budget, and timeline
* Share past experience or open-source work

🔗 **Click here to apply:** [**https://docs.google.com/forms/d/e/1FAIpQLSdH09t6URK6V6NNzBqQQqhdM0i5MWB22J63IbpcE9pWQy-19Q/viewform?usp=header**](https://docs.google.com/forms/d/e/1FAIpQLSdH09t6URK6V6NNzBqQQqhdM0i5MWB22J63IbpcE9pWQy-19Q/viewform?usp=header)

#### The Time Is Now

Open-source AI is booming. But builders still lack infrastructure, visibility, and support. The i³ Fellowship bridges that gap—empowering you to experiment, collaborate, and earn.We’re here to help you build the decentralized AI future you want to see.

> Great intelligence shouldn’t be centralized. Let’s open it up, together.

**Stay Connected:** 🌐 Website: <https://intelligencecubed.io/> X: [@intelligencecubed](https://twitter.com/)<br>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://intelligence-cubed.gitbook.io/intelligence-cubed/untitled/want-to-build-the-future-of-ai-join-the-i-fellowship.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
