Created: 2025-06-28 Last Updated: 2025-06-28 Stage: seedling
AI
Where I’m At
To date, I’ve been somewhere between an AI skeptic and a hater. In my opinion, the hype is far greater than the reality of what a Large Language Model (LLM) is capable of doing. Thaat doesn’t mean I think they are useless, but I get tired of the hyperbole on both sides. At the time I’m writing this, there are some newer models that look more promising. I’m still not convinced that AI is a “real” innovation and not an over-hyped novelty yet, but I acknowledge the fact I probably should start ramping up with it in case it goes mainstream.
It bothers me that there isn’t a true open source AI model. There are several partially open models, but to my knowledge there isn’t model that is completely open. Even if there was, it isn’t feasible for an individual to train a model. The resources required to train a model are only available to mega-corporations like Google and Microsoft, or a national government. In order to fully utilize AI, one will need to share their data with the AI, and be comfortable with that data being sent to remote cloud systems. I’m not sure I’m comfortable with having a hard dependency on something I can’t self host myself.
Concerns
- Employers are going to expect technical employees to understand and apply AI tools for their daily work
- A productivity gap will develop between those you can leverge AI well vs. those who aren’t using it
- If I don’t start becoming proficient with AI tools I will fall behind within the next 6-12 months
Things I Find Interesting
-
CLI interfaces for AI platoforms
- Gemini
- Claude Code
Succeses
- I’ve used Gemini CLI to help build a new template for my 1:1 meetings
