An opinionated guide to which AI to use to do stuff
Summary
Ethan Mollick's "opinionated guide to which AI to use to do stuff" has evolved significantly, shifting focus from chat-centric models like ChatGPT, Claude, and Gemini to more powerful "agentic systems" capable of extensive human-equivalent work. Notably, Gemini has been removed from Mollick's current recommendations due to Google's lack of a proven entry in the "Codex/ChatGPT Work/Cowork" category, with Gemini Spark still unproven. The guide also clarifies how to grant AI access to computers, distinguishing between AI company-provided environments (e.g., ChatGPT Work, Claude Cowork) and direct access via desktop applications (ChatGPT's Work/Codex, Claude's Cowork/Code), which offer enhanced capabilities. A key distinction is that ChatGPT mobile's "Work" mode enables its Code Interpreter to access the internet, unlike its desktop counterpart.
Key takeaway
For AI Engineers evaluating current large language model capabilities, understanding the shift towards agentic systems is crucial for task automation. You should prioritize exploring platforms like ChatGPT Work or Claude Cowork for complex, multi-hour tasks, and consider desktop applications for direct AI computer access to leverage their full feature sets. Be aware of the unintuitive naming conventions and distinct capabilities, such as ChatGPT mobile's internet-enabled Code Interpreter in "Work" mode, to optimize your workflow.
Key insights
AI usage is shifting from simple chat to agentic systems that perform complex, multi-hour tasks.
Principles
- Agentic AI systems automate extensive human work.
- AI access modes vary significantly by platform.
- Naming conventions for AI tools are often confusing.
In practice
- Explore ChatGPT Work or Claude Cowork for agentic tasks.
- Use desktop apps for enhanced AI computer access.
- Utilize ChatGPT mobile's Work mode for internet-enabled Code Interpreter.
Topics
- Agentic AI
- Large Language Models
- ChatGPT Work
- Claude Cowork
- AI Access Modes
- Code Interpreter
Best for: AI Engineer, Software Engineer, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by Simon Willison's Weblog.