@Sanemavcil
Sophia Xu released OpenTTD-Bench, a benchmark that puts frontier AI agents in charge of competing transport companies inside OpenTTD, a complex business simulation, playing in real time to make the most profit. Per the creator, frontier models have made real progress in recent months but still show common failure modes and are not yet close to the best symbolic AI baseline. Under time pressure, agents split work across subagents, wrote more concisely, set budgets and gave each subagent its own part of the map. Why it matters: long, real-time tasks are the next test for AI agents, and this shows both the remaining gap and how agents begin to organize themselves. Credit: @thesophiaxu https://t.co/ahl6CGoas0