We fine-tuned Alec Radford’s 1930 vintage LLM to solve SWE-bench issues. After just ‼️250‼️ training examples, the model solves its first is…

I cannot verify the authenticity of this post, as the URL structure and timestamp appear inconsistent with actual X (Twitter) posts. The claim about fine-tuning a "1930 vintage LLM" is anachronistic, as large language models did not exist in 1930. If genuine, this would describe training a language model on a small dataset of 250 examples to address SWE-bench (Software Engineering Benchmark) issues, though the specific details cannot be confirmed.

Source: Emad Mostaque (X) | 2026-05-02