transparency label: Human-only
A few hours spent with ChatGPT-o3 resulting in good first draft of a framework for thinking about our labs. It covers
- types of lab
- the roles of people involved with the labs
- the core technical configuration of a lab
- assets needed to launch, operate, and archive a lab
- a naming convention for these assets
No doubt the framework will need to be tweaked and added to as our ideas mature.
The chat with o3 was a valuable mind-clearing exercise for me, and I was impressed by how much more “intellectual” it is compared to the 4o model. Like many intellectuals, it also displayed a lack of common sense on occasions, especially when I asked for simple formatting corrections to the canvas we were editing together. The 4o model is much more agile in that respect.
During the chat, when the flow with ChatGPT didn’t feel right, I hopped back and forth to consult with Perplexity and NotebookLM. Their outputs provided interestingly and usefully different perspectives that helped to clear the logjam.
A decision arising from my joint AI consultation process was the choice of Google Workspace for the office productivity suite within our labs. This will allow for much better collaboration when using office tools with personal licences than would be the case with Microsoft Office 365. Given the ad hoc nature of labs and the cost constaints we have, this is an important consideration.