I can see from the evidence that I've already queried the time trend multiple times (steps 0-5 all returned identical results). The data shows model counts by year from 1950 to 2010, but the results are truncated at 50 rows. I need to get the complete time series to properly assess the overall trend, including the more recent years which are likely crucial for understanding growth patterns. Let me query for the full time series without the 50-row limit by using aggregation: ```json { "action": "tool_call", "reasoning": "The previous queries were truncated at 50 rows (stopping at 2010), but the dataset card shows the temporal range extends to 2026. I need the complete year-by-year counts to assess the overall trend, especially the recent period which likely shows the most dramatic growth in AI models. I'll query for all years with their counts.", "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 year ORDER BY year", "purpose": "Get complete time series of AI model counts by year to assess overall trend" } } ```