# Getting the answer is different from learning

[Canonical reading](https://escapemeridian.com/readings/mollick-retain-the-learning)

Mollick argues that AI can support learning when it guides the learner through the work. An assistant that simply supplies answers can remove the practice that builds understanding, even when the user has good intentions.

Headline and sourced paraphrase by Escape Meridian. Inclusion is not endorsement.

## Original source

One Useful Thing · Author essay

Original source date: Jul 7, 2025 (2025-07-07).

Date basis: Publication date displayed on the original essay.

Original publisher text read on 2026-09-22; a short editorial paraphrase is stored, not the underlying work.

The date this reading was added to Escape Meridian is not recorded.

- [Against “Brain Damage”](https://www.oneusefulthing.org/p/against-brain-damage)
- [The Learning Brain](https://www.oneusefulthing.org/p/against-brain-damage)

## Limits

The cited experiment concerns particular students, mathematics tasks and GPT-4 setups; it cannot establish effects for every learner or job.


## Editorial test, not a stated concession

Measure delayed, unaided understanding with and without tutor safeguards. Durable gains from answer-only use would challenge the proposed distinction.


## supports

The essay distinguishes completing homework from developing the ability to solve a problem.

- [Supporting source](https://www.oneusefulthing.org/p/against-brain-damage)

## supports

A field experiment with nearly 1,000 high-school mathematics students found lower unaided performance after unrestricted GPT-4 practice; tutor safeguards largely mitigated the harm.

- [Supporting source](https://hamsabastani.github.io/education_llm.pdf)

## Source and contributor context

Ethan Mollick · Wharton researcher and author of One Useful Thing

Studies AI in work and education; publishes classroom prototypes and field research.

Learning-design expertise is relevant here; the essay is not a clinical assessment of brain injury.

Declared interests are limited to the records linked here; absence of a record does not establish absence of an interest.

- [Wharton faculty profile](https://mgmt.wharton.upenn.edu/profile/emollick/)
- [Co-directs Wharton’s Generative AI Labs and authors Co-Intelligence.](https://mgmt.wharton.upenn.edu/profile/emollick/)

## Assumptions

Editorial reconstruction: retained skill matters alongside the immediate result.

Editorial reconstruction: guidance that works in studied classrooms can be adapted and tested elsewhere.


## Source media

Media retrieval status: found.

- [Article illustration · One Useful Thing](https://substackcdn.com/image/fetch/$s_!ILCO!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fab82ead4-9593-43b2-932c-cfd7ddf464fc_1376x864.png)

## Questions between perspectives

Editorial comparison; no direct exchange established: How should organizations value retained judgment alongside faster adoption?

- [Related reading](/readings/amodei-fast-diffusion)

## Terms and references

Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.


## Ethan Mollick

Ethan Mollick is a Wharton researcher and author exploring how AI changes work, learning and decision-making.

- [Explore this context](/entities/ethan-mollick)
- [Reference](https://mgmt.wharton.upenn.edu/profile/emollick/)
- [Reference](https://www.oneusefulthing.org/)

## One Useful Thing

One Useful Thing is Ethan Mollick’s publication about AI in work, education and everyday practice.

- [Explore this context](/entities/one-useful-thing)
- [Reference](https://www.oneusefulthing.org/)

## Corrections and challenges

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