Databricks launched its Lakebase service, a new type of database aimed at online transaction processing (OLTP) and operational databases, on February 3, 2026. The Lakebase service had been in development since June 2025 and is based on technology Databricks acquired via its acquisition of a PostgreSQL database provider, according to VentureBeat.
Databricks is aiming to create a new category with Lakebase, building on its previous creation of the "data lakehouse" concept, which combines a data lake with a data warehouse for analytics workloads. According to VentureBeat, the data lakehouse architecture is now commonplace across the data industry for online analytical processing (OLAP) databases.
Meanwhile, Vercel has rebuilt its v0 service to bridge the gap between AI-generated code and existing production infrastructure. The original v0, launched in 2024, helped developers create user interface (UI) scaffolding, but getting those prototypes into production required rewrites, VentureBeat reported. More than 4 million people have used v0 to build millions of prototypes.
In other news, a nickel mine in Michigan's Upper Peninsula is testing a new process to extract more nickel from lower-quality ore. According to MIT Technology Review, the Eagle Mine, owned by a mining company, is nearing the end of its life as nickel concentration declines. The company installed shipping containers at the mine's mill, where a fermentation-derived broth developed by the startup Allonnia is mixed with concentrated ore to capture and remove impurities. Kent Sorenson, Allonnia's chief technology officer, said this approach could help companies continue operating sites that have burned through higher-quality ore.
Concerns are also rising about the potential for AI to spread misinformation. MIT Technology Review reported that the US Department of Homeland Security is using AI video generators from Google and Adobe to create content shared with the public. This news has raised concerns about the potential for AI to erode societal trust.
Many organizations that rushed into generative AI are seeing pilot programs fail to deliver value, according to MIT Technology Review. Mistral AI partners with global industry leaders to co-design tailored AI solutions. Their methodology starts by identifying an "iconic use case" to set the blueprint for future AI solutions.
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