This is cool and a creative example of adapting Jev / decision models to various tasks
github.com/jkrup/jeveryword
One big advantage of LLM APIs is simplicity of use. Two big inputs, each free form text. One output of arbitrary text. This simplicity fosters adoption within the software domain.
The system one models require more work to frame problems for effective application. They are super powerful but this will hinder or slow diffusion.
The day is done. Happy birthday bek. I think about you all the time.
A favorite memory:
Early morning, heading to the office / data center. We'd probably just finished breakfast at Denver diner but I don't recall. We're heading up Speer in the Saturn wagon. I'm in the passenger seat as you swing left onto Wazee with Modest Mouse cranked up.
I guess context engineering is the new feature engineering.
It's still kind of wild how powerful end-to-end learning and learned representations can be.
loop(org --> do)
Replying to @jobergum
One thing I'm grappling with is how the model of implementation you describe affects the planning/organizing on the other side of the loop of iteration.
Most work abstracts to an organize-then-do loop. What I'm finding is the ease of generating implementation and local tools is driving me to sometimes think through doing which sort of blends the two parts of organize-then-do.
Remember how Dr. Isbell,
in his Machine Learning class,
said he didn't care about where you got the code for your projects?
That comes to mind a lot. It's especially interesting now.
It's ok to let some of the details fade away. It's less ok to let go of the intuition learned from the details.
BM25 and decision models
are all you need?
Fun thread
Ok folks, informal poll: use the little browser app at the link below to say how you think the sets of physical systems, living beings, and minds fit together in a Venn diagram:
three-circles.space.fast/
One of the best things about AI code gen is not just that I can make local tools quickly, but that they can also be tailored and made to look nice. It's such an improvement to my daily work.






