Select machine learning engineering tasks from METR
GPT-4o May 2024 0% Only in system cards
Agents attempt machine learning engineering tasks drawn from METR. Scored as successful trials.
OpenAI ran these tasks for the GPT-4o Preparedness autonomy assessment.
Made by METR (run by OpenAI) Released Aug 2024 Machine learning engineering Tasks kept private Last in a system card Aug 2024
Last model added Aug 2024
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
Model scored in lab cards
1
System card reports it, from 1 lab
GPT-4o leads with 0%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-4o May 2024 | 0% | Aug 2024 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 8 Aug 2024 | GPT-4o system card | 0 | Select machine learning engineering tasks from METR, 0/10 trials (3.8) | AI R&D risk |
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