🧩 Quick quiz: What are the three core components that AI systems rely on to function?

A) Data, compute, and algorithms
B) Blockchain, smart contracts, and GPUs
C) Decentralization, encryption, and models
D) Tokens, prompts, and outputs

If you guessed A, you’re correct.

Here’s why:

📊 Data fuels training and inference, providing the raw material models learn from.
⚡️ Compute powers the processing and optimization that make these models usable in the real world.
🧠 Algorithms determine how we turn data and compute into intelligence.

Everything else—decentralization, tokens, prompts—are built on top of these fundamentals.

Understanding these pillars helps you navigate how decentralized compute networks like Lilypad can transform the AI stack, making it cheaper, faster, and accessible without central control.

Because if we’re rebuilding AI’s infrastructure for everyone, we need to start with the essentials.

If you’re exploring how to bring your AI workloads on-chain or off-cloud, let’s connect.