Releasesby IbisBigQuery generative AI functions now support the gemini-4-argon model
GAyesterdayUnverifiedAdded Oct 14, 2026
BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .
More BigQuery releases
Every BigQuery releaseThe AI.AGG function is generally available (GA)
The AI.AGG function is generally available (GA). You can use this function to semantically aggregate unstructured input data based on natural language instructions.
Incremental data transfers for the BigQuery Data Transfer Service for PostgreSQL and ServiceNow are now...
Incremental data transfers for the BigQuery Data Transfer Service for PostgreSQL and ServiceNow are now generally available (GA).
The BigQuery Data Engineering Agent is now available in the asia-northeast1 (Tokyo) regional endpoint and...
The BigQuery Data Engineering Agent is now available in the asia-northeast1 (Tokyo) regional endpoint and supports the gemini-3.5-flash model. For more information, see Where Gemini in BigQuery processes your data . This feature is Generally Available (GA).
The following table types now support flexible column names by default: - Iceberg external tables and Iceberg...
The following table types now support flexible column names by default: Iceberg external tables and Iceberg managed tables in BigQuery Apache Iceberg tables managed by the Lakehouse runtime catalog This feature is generally available (GA).
You can use Gemini assistance in the BigQuery Studio SQL editor through an inline action button when you...
You can use Gemini assistance in the BigQuery Studio SQL editor through an inline action button when you select text. For more information, see Write SQL with Gemini assistance . This feature is generally available (GA).
BigQuery offers TimesFM 3.0 , a built-in time series forecasting model that implements Google Research's open...
BigQuery offers TimesFM 3.0 , a built-in time series forecasting model that implements Google Research's open source TimesFM model. You can use TimesFM 3.0 with the following functions: Use AI.FORECAST to perform time series forecasting.
Conversational analytics in BigQuery now supports the AI.CAUSAL_EFFECT function to quantify the impact of...
Conversational analytics in BigQuery now supports the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .
Iceberg external tables and Iceberg managed tables now support flexible column names by default
Iceberg external tables and Iceberg managed tables now support flexible column names by default. This feature is generally available (GA).
Also shipped on Oct 13, 2026
Google Cloud in October 2026What's included:
- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.
On-demand state repartitioning is now generally available
On-demand state repartitioning is now generally available. You can resize the number of shuffle partitions for a stateful Structured Streaming query or Lakeflow pipeline without losing checkpoint state. See On-demand state repartitioning for stateful streaming queries .
iOS 27.2 beta 4 (24B5110a)
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macOS 27.2 beta 4 (26B5112a)
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visionOS 27.2 beta 4 (24N5114a)
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