OpenAI’s New Agents - The End of an AI Agent Developer?
AI Summary
Summary of OpenAI’s New Agents: Operator and Deep Research
Overview of AI Agents
- AI agents are LLMs (large language models) that interact with their environment autonomously and can now reason about tasks.
- A comprehensive AI agent developer tutorial is upcoming.
Operator Agent
- Mimics human actions in a browser (scroll, type, click, navigate).
- Based on a new model called CUA (Computer Using Agent).
- Trained to output mouse and keyboard actions, not just text.
- Can reason about each action it takes.
- Limitations include lower accuracy and high costs (only available on the $200 plan).
Deep Research Agent
- Trained for comprehensive research.
- Searches the web, compiles sources into insightful reports.
- Powered by the new 03 model.
- Goes beyond providing average results, compiles novel insights.
Best Use Cases
- Operator Agent: Internal process automation, especially for enterprises using internal software tools.
- Deep Research Agent: Research-related tasks like market, lead, legal, scientific research, and internal document analysis.
Q&A on AI Agents
- AI agent developers are still needed to train agents on complex internal tools.
- Some AI agent frameworks may become obsolete if they didn’t plan for improved AI models.
- Multi-agent systems will benefit from the ability to spawn multiple agents for tasks.
- The AI agent market will favor platforms that anticipated AI improvements.
- The API for Operator Agent could be separate or integrated into existing APIs, while Deep Research Agent will likely be integrated through the assistance API.
- To prepare for the API release, start building now, don’t build around current limitations, and focus on ROI.
Future Evolution
- Operator Agent might control computers through the ChatGPT app for tasks beyond the browser.
- OpenAI likely has more agents to launch.
Practical Examples (Hypothetical, as agents are not yet in the API)
- Operator Agent: Automating the setup of a customer portal in Notion.
- Deep Research Agent: Conducting comprehensive research on the Bitcoin market and making investment decisions based on the report.
Conclusion
- The video concludes with a demonstration of how the agents could be used for automating complex processes and conducting in-depth research, highlighting the transformative potential of these new AI agents.