🧞 Future of onchain AI with CoinFund, Celo, Nillion, OG Labs & Eclispse

Making AI better with Web3

Epic Web3

Apr 07, 2025

Gm and happy Monday frens🖖

The markets are in the red, but fear not: we've got something that might just save us all.

Let's start our week with everyone's favourite topic - AI x Web3. I'm sure you've never heard of it.

Today we are trying to understand if putting AI on chain will solve anything or just create us more problems?

Scroll down to see:

🗣️ Token2049 soon
🦾 AI x Web3: good, bad or evli?
🧵 Hopium, LLMs and ETH
📰 News

🧞‍♂️Epic Web3 x3 → Token2049

We're dropping not one, not two, but THREE side events at Token2049!

Each focused on a key narrative that's reshaping the industry right now – from mini-apps to restaking primitives and autonomous agents 👇

📱 dApps and Mini-Apps Day

Mass adoption blueprint: viral growth, secure mini-apps, smart fundraising, cross-platform expansion, and strategic partnerships.

🔄💰DeFAI & Restaking Day

Day Cross-chain dialogue on restaking and DeFAI: liquid restaking, AI-driven markets, AVSs, multi-chain strategies, and security risks.

🤖 Agents Day - AI x Web3

The future of autonomous Web3: sustainable agent economies, investment in decentralized intelligence, navigating regulations, leveraging quality data, and deploying multi-agent systems.

🛠️ Deep-dive: making AI better with Web3

CoinFund, Celo, Nillion, OG Labs & Eclipse on future of the blockchain AI. From the panel discussion "Is Putting AI On-Chain a Solution?" at Modular & L2 Day in Denver.

Decentralized AI: off-chain computation & on-chain verification

Decentralized AI does not imply running large-scale AI models directly on blockchain. Blockchains currently lack the speed and cost efficiency necessary for handling heavy AI computations like large language models.

Instead, a more practical approach involves running complex computations off-chain, then placing cryptographic proofs on-chain. This hybrid approach allows for transparency, security, and trust, without sacrificing performance or affordability.

Blockchain use cases for AI

Here are 3 possible use cases:

Payments in the Agent economy:
Blockchain’s inherent strengths are global, transparent, continuous operations. They are ideal for handling payments between autonomous AI agents. For example, specialized agents can securely and automatically compensate each other, facilitating a decentralized AI-driven economic system.
Proof of ownership and contributions:
Blockchain provides cryptographic proof of data or model ownership, ensuring that contributors can be transparently identified and compensated. This enables fair revenue distribution when AI models are monetized through inference.
Cryptographic verification:
On-chain cryptographic methods (such as zero-knowledge proofs or attestations from trusted execution environments) verify off-chain computations. Smart contracts can automate these verifications, ensuring integrity without compromising privacy or data security.

Decentralized Storage Enhancing AI Infrastructure

Decentralized storage networks (e.g., Filecoin, Arweave) were highlighted as complementary technologies that significantly improve AI infrastructure.

They offer substantial cost reductions (up to 80% cheaper than traditional storage), fault-tolerance through built-in redundancy, and minimal performance trade-offs. Decentralized storage is considered highly valuable and practical for scalable AI infrastructure.

Crypto as an entry point for AI Investments

Democratizing power of crypto, noting it offers broad public access to investing in cutting-edge AI technologies.

Unlike traditional markets, where frontier AI companies (like OpenAI or Anthropic) often have limited investment opportunities, crypto-based projects provide an accessible financial gateway into next-generation decentralized AI developments.

Personalized AI & importance of "Proof of Humanity"

Finally, there is a strong trend towards personalization and efficiency driven by AI agents. Personalized AI can dramatically reduce digital overload by managing communication, automating administrative tasks, and streamlining decision-making in decentralized governance.

Moreover, with increased automation comes the critical challenge of verifying genuine human interaction - referred to as "Proof of Humanity." Panelists emphasized the necessity of ensuring authenticity and minimizing AI-generated noise, maintaining meaningful, trusted digital interactions with growing AI presence.