Frozerti

← JournalStudy No. 12

Development and testing

Preparing the current trials

We checked the model’s initial abilities and the reliability of the research tool. Some tasks can be learned, but reliable performance across all task types has not yet been achieved.

Status
Completed
Outcome
Not enough evidence yet
Bears on
a diagnostic observation
Period
28 September — 4 October 2026
Published
Updated

What we set out to test

Can the prepared experiment reveal newly learned abilities and separately assess their transfer to unfamiliar examples?

Earlier checks

How the study progressed

Events in order. The arrow shows which earlier event each one follows from.

  1. Check

    Checking initial abilities

    The selected tasks were confirmed to require new knowledge: before training, the model could not solve them.

    Positive

  2. Fix

    Repairing the research tool

    ↳ Follows from: Checking initial abilities

    The identified problems were corrected. Assessing the approach requires a repeat run.

    Mixed

  3. Recheck

    Reviewing conclusions before the next run

    ↳ Follows from: Repairing the research tool

    The tool is ready for further work. Not every failure is explained; an earlier overly strong conclusion has been revised.

    Not enough evidence yet

What we found

Before training, the model could not solve the prepared tasks involving new knowledge. Afterwards, some tasks became solvable, but performance differed across task types. Checks also revealed instability in the research tool and assessment.

What the problem turned out to be

Unstable checks made it difficult to distinguish tool errors from limitations of the approach. Some attempts ended before sufficient evidence was collected.

What we changed

We fixed tool errors, refined result verification and prepared a repeat run. An initial explanation for some failures was revised because the evidence was insufficient.

What the recheck showed

Rechecks confirmed the tool’s readiness for the next run. They did not establish the cause of every error or confirm the effectiveness of the main idea.

Limits of the conclusions

Small artificial tasks on a real model, with a limited number of runs.

What is still unknown

  • Why do some task types remain unstable?

Next step

Check multi-part tasks separately and repeat the study on new examples.

Continued in