The NEXT Gen of AI will do THIS.
By Authority Hacker Podcast
Key Concepts:
- Agentic AI: AI systems capable of autonomous action and decision-making.
- Browser User Agents: AI acting as a user within a web browser.
- World Garden Issues: Limitations of AI within closed or restricted online environments.
- Automation: Using AI to perform tasks automatically.
- Deep Research: In-depth and comprehensive research conducted by AI.
Agentic AI and Browser User Agents
The speaker expresses excitement about the current state of agentic AI, emphasizing that it's living up to its potential. A key area of development is AI acting as browser user agents. This is considered the "next level" because it addresses "World Garden issues."
World Garden Limitations and Solutions
The speaker highlights the problem of AI being restricted within closed online environments. For example, current AI systems can't easily browse platforms like Facebook. The solution lies in AI that can act as a user without being blocked like a typical web crawler (e.g., Google bot or Gemini). If the AI can mimic human browsing behavior and avoid detection, it can access a wider range of information and perform more complex tasks.
Future Applications: Automation and Task Execution
The speaker envisions a future where AI not only conducts research but also implements actions based on that research. Currently, the AI provides information, but the user has to act on it. The future AI will automate tasks.
Example Scenario: Sponsor Research and Automation
The speaker provides a specific example: AI could research potential podcast sponsors, gather information (ETA - Estimated Time of Arrival), and then automate the process of contacting them. This includes logging into systems and building automations. The AI would handle the entire process, from research to implementation.
Deep Research and Excitement
The speaker concludes by reiterating that "deep research" is a particularly exciting aspect of this technology. The ability of AI to conduct in-depth research is a key driver of interest and development in the field.
Synthesis/Conclusion:
The speaker is optimistic about the progress of agentic AI, particularly its ability to act as a browser user agent and overcome limitations within closed online environments. The future of AI lies in its ability to not only conduct deep research but also automate tasks based on that research, leading to increased efficiency and new possibilities.
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