I can see from the evidence that I've already queried the yearly model counts, but the results are truncated at 50 rows (ending at 2010). The dataset card indicates the temporal range extends to 2026, so I need to see the complete time series to identify all notable spikes, dips, and breaks. Let me get the full yearly distribution: ```json { "action": "tool_call", "reasoning": "The previous queries returned only the first 50 rows (1950-2010). I need the complete time series through 2026 to identify all spikes, dips, and breaks. I'll add ORDER BY year to ensure completeness and use a higher row limit or aggregate to see the full picture.", "tool": "query_sql", "args": { "sql": "SELECT EXTRACT(YEAR FROM \"Publication date\") AS year, COUNT(*) AS model_count FROM raw.all_ai_models WHERE \"Publication date\" IS NOT NULL GROUP BY EXTRACT(YEAR FROM \"Publication date\") ORDER BY year", "purpose": "Get complete yearly model counts from 1950 through 2026 to identify all temporal spikes, dips, and breaks", "source": "raw" } } ```