Vintage Talkie drops with 1930 cutoff

Training an LLM entirely on historical data is a brilliant move for clean benchmarking, finally giving researchers a model guaranteed to have zero exposure to modern test sets.

• –A hard 1931 cutoff provides a genuinely contamination-free baseline for evaluating reasoning and generalization
• –Custom post-training using historical etiquette manuals and cookbooks ensures the model's tone matches its era
• –Building a specialized OCR pipeline for noisy historical scans highlights the immense data engineering required for vintage datasets
• –The planned expansion to a GPT-3.5 scale model by summer 2026 could establish a new standard for academic evaluation