DOGE AI Tool SweetREX Aims to Cut US Government Regulation
▼ Summary
– The US government is developing an AI tool called SweetREX Deregulation AI to identify and cut federal regulations not required by statute, speeding up regulatory updates.
– SweetREX aligns with President Trump’s executive order on deregulation and Project 2025’s goal to eliminate unnecessary regulations, with estimates suggesting 50% could be removed.
– The tool was created by DOGE affiliates at HUD and is planned for rollout across other agencies, with participation from EPA, State Department, and FDIC staff.
– Christopher Sweet, a DOGE affiliate and University of Chicago student, co-led the project, using Google’s Gemini models, while Scott Langmack promoted its benefits to agencies.
– SweetREX claims to reduce regulatory review time from months to hours or days, though details on its compliance calculations remain unclear.
Artificial intelligence is now being deployed to streamline federal regulations across the U.S. government, with a new tool called SweetREX leading the charge.
A recent video conference hosted by the Office of Management and Budget’s Chief Information Officer revealed details about SweetREX Deregulation AI, an emerging system designed to pinpoint unnecessary regulatory language and accelerate policy updates. Still in development, the tool aligns with broader efforts to reduce bureaucratic red tape, a priority outlined in former President Donald Trump’s executive order on deregulation.
The initiative, formally known as the SweetREX Deregulation AI Plan Builder (SweetREX DAIP), supports the objectives of Project 2025, a blueprint for the next administration that emphasizes cutting federal oversight. According to internal documents, the Department of Government Efficiency (DOGE) believes up to half of all federal regulations could be eliminated.
Developed by DOGE-affiliated personnel within the Department of Housing and Urban Development (HUD), SweetREX is expected to expand to other agencies. Participants in the briefing included representatives from the Environmental Protection Agency, State Department, and Federal Deposit Insurance Corporation, signaling widespread interest in the technology.
Christopher Sweet, a University of Chicago student turned DOGE associate, spearheaded the project and co-led the presentation. He emphasized that federal agencies will increasingly rely on AI platforms like Google’s Gemini, Anthropic, and OpenAI to enhance efficiency. Sweet described SweetREX as a productivity booster, though neither he nor OMB provided additional comments when contacted.
Earlier reports uncovered another AI-driven deregulation tool at HUD, which flagged excessive wording in policies without clarifying its scoring methodology. Sweet declined to address those findings, and HUD offered no further details.
Joining Sweet on the call was Scott Langmack, a HUD senior adviser linked to DOGE and COO of proptech firm Kukun. Langmack focused on demonstrating SweetREX’s capabilities to agencies, claiming it could slash regulatory review times from months to mere hours or days. His involvement raises questions, given Kukun’s access to sensitive HUD systems and its data aggregation goals.
As AI reshapes governance, tools like SweetREX highlight both the potential for efficiency gains and the risks of rapid, automated policy changes. The push for deregulation continues, with technology playing an increasingly central role.
(Source: Wired)
