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refactor(ai): update verbiage in introduction #569

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31 changes: 14 additions & 17 deletions ai/introduction.mdx
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Expand Up @@ -12,15 +12,13 @@ iconType: regular
is invaluable for enhancing the AI Subnet. Thank you for your contributions!
</Warning>

The new **AI Video Subnet**, henceforth referred to as the **AI Subnet**, is the
first step in bringing powerful AI video capabilities into the Livepeer network.
The **AI Subnet** is the first step toward bringing powerful AI video capabilities into the Livepeer network.
It enables video developers to add a rapidly growing suite of **generative AI
features** such as [text-to-image](/ai/pipelines/text-to-image),
[image-to-image](/ai/pipelines/image-to-image) and
[image-to-video](/ai/pipelines/image-to-video) conversions to their
applications, and allows node operators to **earn revenue by deploying their GPU
resources** for AI processing tasks. For an in-depth understanding of the AI
Subnet and its current capabilities, continue reading. Ready to dive in? Choose
[image-to-video](/ai/pipelines/image-to-video) to their
applications. Livepeer Node operators are able to **earn revenue by deploying their GPU
resources** for AI processing tasks. Ready to dive in? Choose
one of the cards below to kickstart your journey with the AI Subnet.

## Kickstart Your Journey
Expand Down Expand Up @@ -86,18 +84,17 @@ The AI Subnet, initially proposed in
[this SPE treasury proposal](https://explorer.livepeer.org/treasury/82843445347363563575858115586375001878287509193479217286690041153234635982713),
represents a significant evolution within the Livepeer ecosystem. This
**decentralized**, **open-source** framework seamlessly integrates a variety of
**generative AI inference** tasks, such as image and video generation and
upscaling, into the existing network infrastructure. These enhancements not only
strengthen the Livepeer Mainnet's transcoding services, celebrated for their
**low cost** and **high reliability**, but also pave the way for groundbreaking
**generative image and video AI inference** tasks into the existing Livepeer network infrastructure. These enhancements
strengthen Livepeer's transcoding services, celebrated for their
**low cost** and **high reliability**, while also paving the way for groundbreaking
applications across both emerging Web3 environments and established Web2
sectors.

Designed to revolutionize creative processes, the AI Subnet reflects Livepeer's
commitment to creating a **globally accessible open video infrastructure**. This
infrastructure aims to empower users by allowing them to leverage any form of
video computing they need. By equipping video applications with advanced AI
tools and diminishing reliance on centralized computing resources, it extends
commitment to creating a **globally accessible open video infrastructure**. Livepeer's
AI subnet aims to empower users to leverage any form of
image and video computing with AI. By equipping video applications with advanced AI
tools and reducing reliance on centralized computing resources, we are dedicated to extending
**cutting-edge AI capabilities** to a broader audience, fostering a more
equitable digital landscape.

Expand All @@ -114,9 +111,9 @@ equitable digital landscape.

### How It Works

The AI Subnet, built on the established Livepeer network, leverages its
**decentralized payment infrastructure** for efficient AI inference task
execution. The network consists of two primary actors:
The AI Subnet, built on the established Livepeer network, leverages a
**decentralized payment infrastructure** for compensating AI orchestrator nodes for performing AI inference tasks.
The network consists of two primary actors:

- **AI Gateway Nodes**: These nodes manage the flow of AI tasks from
applications and users, directing them to the appropriate Orchestrator nodes
Expand Down