About the Bounty

With Virtual’s launch on Solana, the ecosystem is making a bold move to lead the AI revolution in Web3. But to compete with and surpass non-Web3 AI agents, we need more than just ambition—we need better, smarter, and more sophisticated use cases.

AI’s power isn’t just in models and computational strength—it’s fueled by high-quality data. Without robust training datasets, even the most advanced AI agents will fall short.

This bounty challenge is about:

🔹 Explaining why training datasets are the backbone of high-performance AI agents.

🔹 Identifying data-intensive use cases where human-generated datasets unlock new potential—whether in existing AI projects or groundbreaking new ideas.

The race for Web3-native AI dominance is on. The question is: Who will build the data core fundamentals that takes Solana’s AI to the next level?

Evaluation Criteria

Depth

✅ Explain how LLMs are powering AI agents and provide at least 1 example

✅ Explain why training LLMs with specific, human-generated datasets is pivotal to take them to the next level

✅ Provide 1 use case (existing, or prospective) of AI agent that needs specific datasets to differentiate

✅ Include relevant references

Writing Style

✅ Write a compelling introduction and conclusion that hook the reader and summarize key takeaways.

✅ Ensure clarity and engagement by making your content easy to read and accessible to all audiences.

✅ Avoid excessive AI jargon—explain key concepts in a simple and understandable way.

✅ Support your analysis with credible sources and logical reasoning to strengthen your argument.

Submission Requirements

• 🐦 Tag @Ta_da_io in your Tweet thread, along with @Superteam.

• 🔗 Provide a clear and structured Twitter thread with at least 8 tweets.

• 📚 Include relevant sources, project links, or reference materials to support your findings.

Bonus :

1. Tag an other AI / AI agent project you follow

2. Include visuals, memes, screenshot, infographics, or other engaging content

Resources

To help you get started, consider using the following sources:

• Superteam Deep Dive Guidelines

• AI funding reports from OpenAI, DeepMind, and Anthropic

• Case studies of AI grants from Ethereum Foundation, OpenAI Startup Fund, and DAOs like Gitcoin

Research papers on AI ethics, decentralized AI funding, and resource allocation

Terms

Participation in this bounty is entirely voluntary. This bounty is an opportunity to learn, research, and contribute to the growing field of AI funding strategies. It is not a full-time job or project-based engagement. Due to the high volume of entries, sponsors will not be able to provide individualized feedback on submissions.