Ruby AI: Interview with Carmine Paolino, Creator of RubyLLM (rubyai.beehiiv.com)

I couldn’t fetch the interview at the provided link because the site blocked automated access (Cloudflare human-verification), so I don’t have the article text to summarize. To produce the 2–3 paragraph (150–250 word) summary you requested, please paste the interview content or provide an accessible link or a copy of the key points. Once you share the text, I’ll create a concise, engaging summary that explains what Carmine Paolino announced about RubyLLM, why it matters to the AI/ML community, and the key technical details and implications. If you prefer, I can also highlight takeaways for practitioners (model architecture, training data, inference trade-offs, licensing, and ecosystem/compatibility).