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Let's talk about the real things. Founder @ Lilypad Compute Network prev-@Protocol Labs | @Filecoin | @Lilypad_Tech PM | Advisor @GodwokenRises | prev-@IBM TechJam Podcast Co-Host | coder, engineer, dog lover 🐕, global citizen 🌏, entrepreneur 👩💻, aspiring francophone 🥐
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A Regretful Farewell - with an Open Source Future
Unlocking model provenance guarantees & advanced reward systems for sustainable data incentives -> inference pipelines
Lilypad Network Joins Olas Accelerator Program - Integrating Advanced Research Agent into Pearl Marketplace
Powering the Open Intelligence Economy
Mapping the DeAI Ecosystem
Lilypad believes collaborative deAI infrastructure will outcompete centralized AI platforms by design. Below are the structural advantages and differentiators driving this belief:
Definition: Integrated crypto and fiat settlement mechanisms built into the protocol.
Why it matters: Unlocks global, frictionless participation: whether by a scientist in Kenya or a GPU provider in Vietnam.
Lilypad edge: Combines Web3 wallets, Stripe fiat integration, and automated smart contract payments.
Definition: Track model and data lineage, ownership, and usage history.
Why it matters: Enables auditability, royalty distribution, and bias inspection in remixed AI models.
Lilypad edge: Cryptographic job verification + on-chain records provide traceable model provenance.
Definition: Anyone can host models, contribute compute, or run inference jobs.
Why it matters: Opens up innovation to solopreneurs, SMEs, and underserved regions.
Lilypad edge: Full-stack platform (marketplace, job runner, monetization) with open interfaces (CLI/API/GUI).
Definition: Transparent, automated revenue sharing for model creators and compute providers.
Why it matters: Avoids exploitative, opaque compensation models seen in centralized platforms.
Lilypad edge: Model owners set pricing and earn per use; rewards flow directly to wallets, on-chain.
Definition: Easily integrates with agents, storage, data lakes, and other Web3 systems.
Why it matters: Enables dynamic pipelines, collaborative AI stacks, and network effects.
Lilypad edge: Designed for plug-and-play interoperability with agent frameworks, Filecoin, Vana, and more.
Definition: No centralized authority can restrict model deployment, data use, or job execution.
Why it matters: Protects open scientific research, politically sensitive tools, and grassroots innovation.
Lilypad edge: Fully on-chain execution and settlement ensures verifiable, tamper-proof job provenance.
Context: Proprietary AI moats are collapsing. The AI economy is shifting to: Custom, fine-tuned models Agentic workflows User-owned infrastructure
Lilypad belief: Only open, verifiable, and economically aligned platforms can scale with this explosion.
Lilypad’s Core Philosophy
"AI should be a public good - not a corporate asset."
As a full stack AI services platform, Lilypad provides a model marketplace, MLops tooling, and a distributed, on-demand compute network for scaling AI inference for ML pipelines, agent workflows and more.
Let’s build (actually) open AI together.
