Well done to the author for shipping code. I look forward to trying it out.
Well done to the author for shipping code. I look forward to trying it out.
And yeah, the commit history is messy - I was learning and shipping fast. Not perfect, but the tool works and people are using it.
Let me know if you have any questions when you try it!
If it was their work your point would hold.
What AI did: - Generated README templates (boilerplate markdown) - Suggested commit messages (I didn't always edit them) - Helped with documentation structure
What I wrote: - All Python training logic (train.py, trainer.py, callbacks) - All model architectures (gpt.py, tiny.py, small.py, etc.) - Tokenizer integration - Data pipeline - CLI scaffolding (
It’s here, it’s happening. Try the project, if you like it thats great, if you don’t then move on.
And if you don’t intent to try it for whatever reason that’s fine as well but don’t be salty to the OP for sharing their passion project.
Your medium article, your *.md and most of your code ALL looks LLM generated, which isn't as much a problem in my books, but lying about it is a huge problem.
The only time it would be faster to iterate with your scripts hard-coded into your TS files would be if an LLM is doing your iterating for you.
Why would anyone invest time and effort in a project where the author lies through their teeth about provenance? Why use your project that contributes, as it appears, nothing a LLM can't just give me? Why use this when I could just use an LLM to get the same directly in python without dicking around with npm?
Are you being trolled now?
This project being upvoted as much as it is reflects more on the community than it does OP at the end of the day.