imfing

Thanks for putting all these model architectures together!

Awesome! been using Vite since its early days. really excited to see how it's improving the JavaScript and TypeScript tooling landscape and how it continues to evolve

I like the idea!

Similar to how openclaw is exploring a “personal agent” that runs on your computer, this feels like a step toward personal software - tools that live locally, understand the context, and adapt to how we actually work.

Excited to see how this evolves, feels like an interesting direction.

A very recent frustration from them was this: https://x.com/youyuxi/status/2005904473332564339?s=20 - their Chrome extension was breaking code block rendering on a lot of websites for weeks. The issue had already been reported in their community forum, but it didn’t seem to gain much traction until Evan You mentioned it publicly on Twitter. Only then did it feel like it was taken seriously.

That experience, combined with a ~33% price increase, makes the direction a bit concerning, and feels like it’s going in a down hill...

That said, it’s genuinely difficult to move my family off 1Password. I just wish there are stronger competitors.

This is a really interesting take on the sandboxing problem. This reminds me of an experiment I worked on a while back (https://github.com/imfing/jsrun), which embedded V8 into Python to allow running JavaScript with tightly controlled access to the host environment. Similar in goal to run untrusted code in Python.

I’m especially curious about where the Pydantic team wants to take Monty. The minimal-interpreter approach feels like a good starting point for AI workloads, but the long tail of Python semantics is brutal. There is a trade-off between keeping the surface area small (for security and predictability) and providing sufficient language capabilities to handle non-trivial snippets that LLMs generate to do complex tasks

just wanna take this chance to say a huge thank you for all the amazing work you’ve done with Keras!

back in 2017, Keras was my introductory framework to deep learning. it’s simple, Pythonic interface made finetuning models so much easier back then.

also glad to see Keras continue to thrive after getting merged into TF, especially with the new multi-backend support.

wishing you all the best in your new adventure!

cool project!

Visualizing tabular data often presented some challenges, as I had to rely on tools like Google Sheets or Colab + Pandas for quick cleaning and wrangling before exploring different visualizations.

I think having more client-side data cleaning capabilities would make it even more powerful