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  • Hacker News
  • Apple Silicon only, might be worth mentioning on the download link.
  • Have you done any fine-tuning or prompt-customization for the R-specific work? I've found the models worse on R when compared to Python, especially for more complex tasks. This looks cool, thanks for sharing!
  • I can't tell how this differs to Cursor from your website. How is it different?
  • This looks very cool, I’m gonna try it later today.

    Out of curiosity, why the name Erdos? AFAIK Erdos was neither a statistician, data scientist nor AI researcher.

    He sure solved many probability/combinatorics problems and famously had many many collaborators.

  • Give me this, but with a very efficient, opinionated path to put models into production. Give me accessible PM and customer friendly documentation about features and model choices at every stage. Make it reusable and easy to modify. Make it robust and scalable at inference time, with metrics and dashboards tracking performance over time. This seems like optimising the bit that's already fun, but I see a lot of value in hand-holding a department through all the stodgy boring bits and getting high quality analysis repeatably into customer hands.
    by thom
  • Looks interesting but i'm unclear what makes it "more accurate"?
  • Very cool. Any plans to add support for local models? This has what has prevented us from adopting Positron so far. We have sensitive data and sending to third party APIs is not an option (regardless of their stated retention policies).
  • This is a good idea, although IMO source control, compute, and MLOps integration are bigger but less flashy pain points for data scientists than AI in notebooks.

    If you're going to market Erdos as open source, then IMO there should be a github link somewhere on your website.

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