AI Daily · October 22, 2026 · Thursday

Hugging Face BlogFirst-party

NVIDIA releases Kumo Relational, a pre-trained model that predicts directly on relational databases without training

NVIDIA released Kumo Relational, a pre-trained relational foundation model that answers predictive queries on enterprise databases in a single forward pass with no task-specific training or feature engineering. Across 41 tasks on 15 databases from RelBench V1/V2, SAP SALT and 4DBInfer, it beats supervised relational deep learning models and expert-engineered gradient-boosted tree pipelines, and on SAP SALT it surpasses AutoGluon ensembles by 8% in MRR. It reads up to 10,000 context examples at inference, scales to 500B+ rows, and is available through NVIDIA's open-source structured-data-models library or as an NVIDIA NIM, with code under Apache 2.0 and weights under the OpenMDW License 1.1.

The DecoderAlso reported by 1 other source

OpenAI's GPT-5.6 Sol and Google's Gemini 4 Argon found a critical PHP flaw affecting millions of websites

OpenAI's GPT-5.6 Sol and Google's Gemini 4 Argon helped find a critical PHP vulnerability that could affect millions of websites.

• NSA warns of two critical PHP flaws found with OpenAI and Google Wiz AI toolsTechCrunch · AI

OpenAI models are coming to Google Cloud

OpenAI and Google Cloud are bringing OpenAI frontier models and Codex workflows to Gemini's Model Garden.

Microsoft researchers prove the 31-year-old KLS conjecture with human-directed AI

Microsoft researcher Xinzhi Zhang and a collaborator proved the Kannan-Lovász-Simonovits (KLS) conjecture.