# The Problem

Despite its widespread adoption, AI development presents several persistent challenges:

1. **High Costs:** Building custom AI models requires significant financial investment in R\&D, data acquisition, and computational resources.
2. **Complexity:** The technical expertise required to create, train, and deploy AI models excludes non-technical users and small organizations.
3. **Scalability Issues:** Traditional solutions often lack the scalability needed to accommodate businesses of varying sizes.
4. **Lack of Collaboration:** Existing platforms fail to provide open ecosystems where developers and businesses can exchange tools, models, and resources.
5. **Centralized Control:** Centralized platforms limit user autonomy and often involve hidden fees or proprietary restrictions.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.aurk.org/aurk-whitepaper-1/the-problem.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.