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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

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

Fine-Tuning & Modular AI

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

Tokenomics & Rewards

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

Evaluation & Benchmarking

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

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

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