joddystreet

So are there more such articles “what goes into making <X>”? that you would recommend? - eg- games, physical objects, hardware, etc?

Are you building one? What are you building? Why?

Horrible is - not caring about what AI created, and just throwing it out there.

Not horrible is - caring about the outcome, and using AI to make it possible, irrespective of the skill level.

Horrible is - everyone trying to copy paste someone else’s work without caring.

I think, human thought + ai built is the “not horrible”, might even be awesome

One more observation - Claude is better at delegation than Codex.

Chatgpt is a better planner.

Have a discussion in Chatgpt, have Claude to plan work chunks and have GLM to deliver, Codex to review and fix, delivers an overall a better version.

Problem - It’s just too much of a context switching.

Solution - I am thinking about a new product, a collaborative workspace where I can run this workflow.

Your words are definitely a better way to put it

I have completely moved away from Claude to Codex. OpenAI models are better at following instructions and skill use.

Claude generates more code, tries to build things that are not planned or needed, repeats same mistakes over and over.

Chatgpt on the other hand just does enough, within a project would not repeat the same mistakes, tries to guess your workflow, so you don’t have to ask it to run the same.

If you need more control over your code/projects, if you know what you want to get done, use Codex.

If you have no idea what you’re doing and are happy to let LLM drive the thing, use Claude.

Codex/Chagpt is for the competent.

a systems language that reads like python is great!

python superset would have been perfect.

I do hope the language thrives and gets a community.

All the best to the modular team.