  Large language models (LLMs) have made headlines for synthesizing
correct-sounding responses to a variety of prompts, including code generation.
In this paper, we present the prompts used to guide ChatGPT4 to produce a
synthesizable and functional verilog description for the entirety of a
programmable Spiking Neuron Array ASIC. This design flow showcases the current
state of using ChatGPT4 for natural language driven hardware design. The
AI-generated design was verified in simulation using handcrafted testbenches
and has been submitted for fabrication in Skywater 130nm through Tiny Tapeout 5
using an open-source EDA flow.
