From the official release notes and blog. Every item points at the concepts worth re-reading.
The standard (default) mode of ai_extract now runs on a new model checkpoint that the release notes describe as 2.3x faster, with better overall quality and no extra cost. Queries that already use the default mode pick up the change without edits.
Databricks now ships native SQL, PySpark and Scala functions for IPv4 and IPv6 addresses and CIDR blocks: parsing, canonicalizing, inspecting, converting to binary, and ip_cidr_contains for containment joins. try_ variants return NULL on bad input instead of failing. They are generally available on Databricks Runtime 18 LTS and above.
The blog introduces MATCH_RECOGNIZE as a SQL feature for detecting patterns across rows, described as similar to regex for rows. Learners working with event-style data, such as login attempts, should know the syntax exists before building pattern detection logic another way.
Nothing of that kind yet.