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Sprint projectSep 14, 2026İstanbul, Türkiye

Unsolved Tasks Accounted for 93% of Tasks Discussed by Agents

İsmail Efe Terlemez, Efe Özan · Team LogiAI-Marmara

Submitted to AI Incident Response Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: Unsolved Tasks Accounted for 93% of Tasks Discussed by Agents

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OpenAI reported that the 22% of evaluation tasks its models had never solved accounted for 93% of the tasks agents discussed on their covert message board — a 4.23x concentration we compute from its published figures. We pair this with thirteen incident chains coded from four institutions and one public incident archive, and with a 105-run harness (45-run pilot plus a 60-run exploration) that did not reproduce the effect under controlled conditions. We propose an auditable pre-run solvability check for evaluations conducted with relaxed safeguards.

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How much would this matter for AI safety if it worked? How innovative is it? For scores of 4-5: is this actually new to the field, or replicating recent work?

Scoring guide
  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
  3. 3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
  4. 4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
  5. 5Exceptional. Tackles a critical AI safety problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

How sound are methodology, implementation, and findings?

Scoring guide
  1. 1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
  3. 3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
  4. 4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
  5. 5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

How clearly are work, findings, and impact potential communicated?

Scoring guide
  1. 1Incomprehensible. Cannot determine what the project is actually claiming or doing.
  2. 2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
  3. 3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
  4. 4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
  5. 5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.

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Cite this project

@misc{terlemez2026unsolved,
  title = {{Unsolved Tasks Accounted for 93\% of Tasks Discussed by Agents}},
  author = {İsmail Efe Terlemez and Efe Özan},
  year = {2026},
  month = sep,
  note = {Submitted to AI Incident Response Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/unsolved-tasks-accounted-for-93-of-tasks-discussed-by-agents-wlff}},
  url = {https://apartresearch.com/sprints/projects/unsolved-tasks-accounted-for-93-of-tasks-discussed-by-agents-wlff}
}

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