Is codex working well with python notebooks?

Wow! how do you make marketing for so many projects?

Lately I was trying ask LLMs to generate SVG pictures, do you have famous pelican on bike created by flash model?

This is amazing. Porting library from one language to one language are easy for LLMs, LLMs are tired-less and aware of coding syntax very well. What I like in machine learning benchmarks is that agents develop and test many solutions, and this search process is very human-alike. Yesterday, I was looking into MLE-Bench for benchamrking coding Agents on machine learning tasks from Kaggle https://github.com/openai/mle-bench There are many projects that provide agents which performance is simply incredible, they can solve several Kaggle competitions under 24 hours and be on medal place. I think this is already above human level. I was reading ML-Master article and they describe AI4AI where AI is used to create AI systems: https://arxiv.org/abs/2506.16499

Working on new backend for Mercury framework. Mercury makes it easy to serve Python notebooks as web apps. You dont need to know HTML, CSS, JS to build beautiful looking web app from Python notebook. I'm writing new backend to support ipywidgets, anywidgets in Mercury. https://github.com/mljar/mercury