ChatGPT vs Copilot: I was completely wrong about this

Summary

In this conversation, Daniel Anderson and Abram Jackson discuss the evolving landscape of AI, particularly focusing on Microsoft's Copilot and its comparison with ChatGPT. They delve into the quality of responses generated by these AI tools, the significance of reasoning models, and the introduction of new agents like Researcher and Analyst. The discussion highlights the practical applications of these technologies in enhancing workplace productivity and the future implications of AI in various industries.

Takeaways

The quality of AI responses varies significantly between different models.
Microsoft 365 Copilot is designed for workplace productivity, not creative writing.
Reasoning models are a new frontier in AI development.
Deep research capabilities can drastically reduce the time needed for information gathering.
The Researcher agent can access and analyze all work-related data.
AI tools are meant to assist, not replace human jobs.
Governance and security are critical in deploying AI in organizations.
The orchestrator plays a vital role in modern AI functionality.
AI can help identify gaps in knowledge and improve decision-making.
The future of AI in the workplace is focused on enhancing human capabilities.

Chapters

00:00 Introduction and Context Setting
05:05 Quality of AI Responses: Copilot vs ChatGPT
12:04 Understanding Reasoning Models in AI
25:08 Deep Research and Its Impact on Productivity
26:32 Introduction to Microsoft 365 Copilot Researcher
27:30 Utilizing Researcher in Work Contexts
29:33 Security and Data Management in Researcher
34:03 Exploring the Analyst Agent
39:01 The Future of AI Agents in Business
43:32 Upcoming Features and Enhancements at Build