---
title: A detector says Lily's own story is "98% AI". What is the sensible t… — Using AI to learn, not to copy · tree and pragmatics
description: A detector says Lily's own story is "98% AI". What is the sensible thought? Test 4 · ★★★ of lesson 10 «Using AI to learn, not to copy» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong.
---

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# Test 4 · ★★★ · Using AI to learn, not to copy

<!-- .ven lang=en -->
A detector says Lily's own story is "98% AI". What is the sensible thought?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** detector, own story, sensible thought · **What happens:** say, be · **To what, where:** % AI · **Speech:** someone speaks here

<!-- .vabout -->
This is test 4 · ★★★ of lesson 10 «Using AI to learn, not to copy» of the AI course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/ai/10-using-ai-to-learn-not-to-copy/#t4).

## The question {#question}

<!-- .note -->
*Sentence 1:* A detector says Lily's own story is "98% AI".

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:t4:1
# text = A detector says Lily's own story is "98% AI".
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	detector	detector	NOUN	NN	Number=Sing	3	nsubj	_	_
3	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	Lily	Lily	PROPN	NNP	Number=Sing	7	nmod:poss	_	SpaceAfter=No
5	's	's	PART	POS	_	4	case	_	_
6	own	own	ADJ	JJ	Degree=Pos	7	amod	_	_
7	story	story	NOUN	NN	Number=Sing	12	nsubj	_	_
8	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	12	cop	_	_
9	"	"	PUNCT	``	_	12	punct	_	SpaceAfter=No
10	98	98	NUM	CD	NumForm=Digit|NumType=Card	11	nummod	_	SpaceAfter=No
11	%	%	SYM	NN	Number=Sing	12	compound	_	_
12	AI	ai	NOUN	NN	Number=Sing	3	ccomp	_	SpaceAfter=No
13	"	"	PUNCT	''	_	12	punct	_	SpaceAfter=No
14	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | a detector |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent |
| 2 | **is a** *in a quote* | present | Lily's own story | % AI |  |  |  |  | tree rules |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

<!-- .note -->
*Sentence 2:* What is the sensible thought?

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:t4:2
# text = What is the sensible thought?
1	What	what	PRON	WP	PronType=Int	0	root	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	1	cop	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	sensible	sensible	ADJ	JJ	Degree=Pos	5	amod	_	_
5	thought	thought	NOUN	NN	Number=Sing	1	nsubj	_	SpaceAfter=No
6	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | the sensible thought |  |  |  |  |  | tree rules |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
She must have used AI without knowing it

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:t4:o1:1
# text = She must have used AI without knowing it
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	4	nsubj	_	_
2	must	must	AUX	MD	VerbForm=Fin	4	aux	_	_
3	have	have	AUX	VB	VerbForm=Inf	4	aux	_	_
4	used	use	VERB	VBN	Tense=Past|VerbForm=Part	0	root	_	_
5	AI	ai	NOUN	NN	Number=Sing	4	xcomp	_	_
6	without	without	SCONJ	IN	_	7	mark	_	_
7	knowing	know	VERB	VBG	Tense=Pres|VerbForm=Part	4	advcl	_	_
8	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	7	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **use** | must · perfect | She | AI |  |  |  |  | vn eat-39.1 «NP V»: agent=Agent |
| 2 | **know** | gerund | She *not said here* | AI |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer it=Stimulus |

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Detectors can be wrong; she can show her drafts

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:t4:o2:1
# text = Detectors can be wrong; she can show her drafts
1	Detectors	detector	NOUN	NNS	Number=Plur	4	nsubj	_	_
2	can	can	AUX	MD	VerbForm=Fin	4	aux	_	_
3	be	be	AUX	VB	VerbForm=Inf	4	cop	_	_
4	wrong	wrong	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
5	;	;	PUNCT	:	_	8	punct	_	_
6	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	8	nsubj	_	_
7	can	can	AUX	MD	VerbForm=Fin	8	aux	_	_
8	show	show	VERB	VB	VerbForm=Inf	4	parataxis	_	_
9	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	10	nmod:poss	_	_
10	drafts	draft	NOUN	NNS	Number=Plur	8	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | can | Detectors |  |  |  |  | wrong *property* | tree rules |
| 2 | **show** | can | she | her drafts |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent draft=Recipient |
| 3 | **draft** |  | her *= she* |  |  |  |  |  | nom draft «possession transitive»: poss=agent |

### Option 3 {#o3}

<!-- .ven lang=en -->
98% means she copied almost all of it from a bot

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:t4:o3:1
# text = 98% means she copied almost all of it from a bot
1	98	98	NUM	CD	NumForm=Digit|NumType=Card	2	nummod	_	SpaceAfter=No
2	%	%	SYM	NN	Number=Sing	3	nsubj	_	_
3	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	5	nsubj	_	_
5	copied	copy	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	ccomp	_	_
6	almost	almost	ADV	RB	_	7	advmod	_	_
7	all	all	DET	DT	PronType=Tot	5	obj	_	_
8	of	of	ADP	IN	_	9	case	_	_
9	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	7	nmod	_	_
10	from	from	ADP	IN	_	12	case	_	_
11	a	a	DET	DT	Definite=Ind|PronType=Art	12	det	_	_
12	bot	bot	NOUN	NN	Number=Sing	5	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mean** | present |  |  |  |  |  |  | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic |
| 2 | **copy** | participle | she | all |  | a bot |  |  | vn scribble-25.2 «NP V NP»: agent=Agent all=Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
She should rewrite it worse on purpose

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:t4:o4:1
# text = She should rewrite it worse on purpose
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	_
2	should	should	AUX	MD	VerbForm=Fin	3	aux	_	_
3	rewrite	rewrite	VERB	VB	VerbForm=Inf	0	root	_	_
4	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	obj	_	_
5	worse	bad	ADJ	JJR	Degree=Cmp	3	xcomp	_	_
6	on	on	ADP	IN	_	7	case	_	_
7	purpose	purpose	NOUN	NN	Number=Sing	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **rewrite** | should | She | it |  | purpose |  | bad *property* | tree rules |

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

<!-- /div -->

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