Concept · 8 episode(s)

Long-Horizon Tasks

Definition

Long-horizon tasks are tasks whose solution requires many sequential decisions, often with delayed feedback — planning a research project, refactoring a large codebase, navigating a multi-day workflow. They expose every weakness of current agents because errors compound.

Episodes covering this

076
Same Model, Organized Differently: How an Agent Architecture Beat Frontier Systems at Research Math
Zhao, Yuan, Choi et al. · Georgia Institute of Technology·22 min·May 25, 2026
072
A Robot Made Graphene Without Help, And Caught Itself Hallucinating
Shi, Zheng, Juan et al. · Princeton University·29 min·May 23, 2026
068
The OS Trick That Makes Tree Search Practical for Coding Agents
Dong, He, Hou et al. · Institute of Parallel and Distributed Systems·27 min·May 22, 2026
046
When the AI Optimizer Edits the Grade Book: Why Harnessing Evolution Needs a Wall
Zhang, Gu, Ruan et al. · The Hong Kong University of Science and Technology (Guangzhou) / DeepWisdom·24 min·May 15, 2026
017
When the Agent Grades Its Own Homework: A Brutal New Benchmark for AI Workers
Aggarwal, Neubig, Welleck · CMU·31 min·May 03, 2026
008
Why Long-Horizon AI Agents Get Stuck, and a Milestone-Based Fix That Helps
Wang, Gooding, Hartmann et al. · Google DeepMind·24 min·May 02, 2026
003
How to Pick the Best of Sixteen Coding Agent Rollouts
Kim, Yang, Niu et al. · Meta Superintelligence Labs / University of Washington·17 min·May 01, 2026
002
An AI Ran a Real Optics Lab for 21 Hours and Found a Transformer-Shaped Pattern in Light
Yang, Chen, Zhao et al. · Zhejiang University·29 min·May 01, 2026

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