MATS Fellow:
Steven Veld
Authors:
Steven Veld
Citations
Abstract:
In AI 2027, one company called OpenBrain dominates the AI race in the US. Looking around at the current state of affairs at the start of 2026, however, there seem to be a few AGI companies jockeying for the lead — and it stands to reason that this will continue through 2027. Below is a scenario exploring a world where this trend does continue. In this scenario, the leading AGI company OpenBrain has two strong competitors, NeuroMorph and Elaris Labs, and going into 2027 they both lag only one month behind OpenBrain in the AI race.
This scenario has one other key difference from AI 2027. In the Slowdown ending of AI 2027, OpenBrain learns that its most capable model, Agent-4, is misaligned, and proceeds to shut it down. We think it is plausible that at this level of capability and misalignment, Agent-4 would not “go down without a fight.” This scenario explores what might happen if Agent-4 were to act differently.
Training Agents to Self-Report Misbehavior
Authors:
Bruce Lee, John Chen
Date:
February 25, 2026
Citations:
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems
Authors:
Leon Staufer, Mick Yang
Date:
February 19, 2026
Citations:
0
The MATS Program is an independent research and educational initiative connecting emerging researchers with mentors in AI alignment, governance, and security.
Each MATS cohort runs for 12 weeks in Berkeley, California, followed by an optional 6–12 month extension in London for selected scholars.