NASA’s new dark energy space telescope can also detect killer asteroids
technologyreview.com·1h ago
Data Science
Simon Willison's Blog·Jun 29·5 min read
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding
TL;DR
Software engineers often struggle with efficiently coding and debugging complex systems. Ornith-1.0 is a new open-source large language model (LLM) designed for agentic coding, built on pretrained models Gemma 4 and Qwen 3.5.
✦ Why It Matters
Engineers can leverage Ornith-1.0 to enhance their coding efficiency and improve debugging processes.
Key Takeaways
- Experiment with Ornith-1.0 for coding tasks in your projects.
- Utilize the 397B MoE variant for complex coding challenges.
- Test the model's performance using LM Studio for your applications.
- Review the licensing of underlying models for compliance.
How It Works
Ornith-1.0 employs a self-scaffolding mechanism, allowing it to efficiently manage multiple tool calls during coding tasks. By leveraging its pretrained foundations from Gemma 4 and Qwen 3.5, it can understand and generate code with high proficiency.