A flurry of activity marked the week of February 12-15, 2026, with developments spanning technology, immigration enforcement, and the burgeoning AI landscape. White House border czar Tom Homan announced a "small" federal security force would remain in Minnesota after an immigration enforcement operation concluded, while the tech world saw advancements in AI and data center efficiency. Simultaneously, a developer successfully built a SQLite-like engine using AI agents.
According to NPR News, Homan stated that the immigration enforcement operation in Minnesota was ending, with a "small" security force remaining "for a short period of time." He indicated that the operation had already removed over 1,000 people, with several hundred more to be removed by the beginning of the week. This information was shared on CBS' Face the Nation on Sunday.
Simultaneously, the tech sector experienced significant developments. As reported by Hacker News, a developer successfully built a SQLite-like engine in Rust using AI agents, including Claude, Codex, and Gemini. The project, which comprised 19,000 lines of code, implemented features such as a parser, planner, and transaction semantics. The developer also incorporated unit tests, with all 282 tests passing.
The AI landscape continued to evolve. TechCrunch reported that Indian startup C2i Semiconductors secured $15 million in Series A funding, led by Peak XV Partners. The funding will support C2i's efforts to develop plug-and-play power solutions to improve the efficiency of power conversion within data centers. This is in response to the growing power constraints in AI data centers, where energy demand is rapidly increasing.
Further highlighting the intersection of technology and policy, Vox reported on Illinois Gov. JB Pritzker's efforts to resist ICE operations. Pritzker signed laws to limit ICE activities in the state, established the Illinois Accountability Commission, and took legal action against the federal government.
The computing landscape is rapidly changing, with a shift towards GPUs and techniques like Mixture of Experts for AI, according to Hacker News. Continuous batching is a key optimization technique for large language models, improving throughput by processing multiple conversations in parallel.
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