https://chatgpt.com/g/g-p-67a3f82d5e08819182bcdf76d33ae8f0-richard-s-folder/c/67b43929-e170-8000-aac1-1a0a5adee808

purpose of the manuscript, which is to propose a modular and scalable framework for human, computer, and ML-driven IC design, the author's stance on open-source aligns with the broader goal of improving design accessibility,

The author is not ideologically committed to open-source as an all-encompassing solution but sees its practical applications in education, research, and early-stage design workflows.

The author critiques the historically rigid, graphical/manual-centric approach to IC design and proposes a cloud-era, code-first alternative that integrates humans, computers, and ML designers in a more scalable, interoperable, and automated way.

EDA Education?

Open source roadmap

Cloud Data model Vision:

VLSIR, a protocol-buffer-based, cloud-friendly data model that:

• Enables seamless data sharing across tools, teams, and ML models.
• Standardizes circuit representation, layout information, and process constraints.
• Decouples process-specific details from design abstraction, making it easier to integrate with EDA & ML workflows.

A universal, interoperable IC design format, similar to GitHub for software, where designers, tools, and ML models can collaborate in real-time without being locked into vendor-specific formats.

• Hdl21: A Python-based hardware description language for analog/custom circuits.
• Code-based circuit representation allows for:
  • Parametric and reusable design blocks.
  • Easier version control and collaboration (like Git for hardware).
  • Integration with ML for optimization and synthesis.

Chip design and verif lifecycle