---
title: In a cartoon, a bot gives the exact same answer every single time, f… — Hallucinations: confident made-up answ… · tree and pragmatics
description: In a cartoon, a bot gives the exact same answer every single time, forever. What does the cartoon get wrong? Test 4 · ★ of lesson 5 «Hallucinations: confident made-up answers» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova'
---

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# Test 4 · ★ · Hallucinations: confident made-up answers

<!-- .ven lang=en -->
In a cartoon, a bot gives the exact same answer every single time, forever. What does the cartoon get wrong?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** bot, cartoon · **What happens:** give, get · **To what, where:** exact same answer, cartoon

<!-- .vabout -->
This is test 4 · ★ of lesson 5 «Hallucinations: confident made-up answers» 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/5-hallucinations-confident-made-up-answers/#t4).

## The question {#question}

<!-- .note -->
*Sentence 1:* In a cartoon, a bot gives the exact same answer every single time, forever.

```conllu
# sent_id = question:ai:5-hallucinations-confident-made-up-answers:t4:1
# text = In a cartoon, a bot gives the exact same answer every single time, forever.
1	In	in	ADP	IN	_	3	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	cartoon	cartoon	NOUN	NN	Number=Sing	7	obl	_	SpaceAfter=No
4	,	,	PUNCT	,	_	3	punct	_	_
5	a	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
6	bot	bot	NOUN	NN	Number=Sing	7	nsubj	_	_
7	gives	give	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	11	det	_	_
9	exact	exact	ADJ	JJ	Degree=Pos	11	amod	_	_
10	same	same	ADJ	JJ	Degree=Pos	11	amod	_	_
11	answer	answer	NOUN	NN	Number=Sing	7	obj	_	_
12	every	every	DET	DT	PronType=Tot	14	det	_	_
13	single	single	ADJ	JJ	Degree=Pos	14	amod	_	_
14	time	time	NOUN	NN	Number=Sing	7	obj	_	SpaceAfter=No
15	,	,	PUNCT	,	_	16	punct	_	_
16	forever	forever	ADV	RB	_	7	advmod	_	SpaceAfter=No
17	.	.	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **give** | present | a bot | the exact same answer |  | a cartoon | time | forever *property* | vn give-13.1-1 «NP V NP»: agent=Agent answer=Theme |

<!-- .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 does the cartoon get wrong?

```conllu
# sent_id = question:ai:5-hallucinations-confident-made-up-answers:t4:2
# text = What does the cartoon get wrong?
1	What	what	PRON	WP	PronType=Int	5	obj	_	_
2	does	do	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	aux	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	cartoon	cartoon	NOUN	NN	Number=Sing	5	nsubj	_	_
5	get	get	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	wrong	wrong	ADJ	JJ	Degree=Pos	5	xcomp	_	SpaceAfter=No
7	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **get** | present · do-support | the cartoon |  |  |  |  | wrong *property* | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer what=Stimulus |

## The options {#options}

### Option 1 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
Real bots add randomness and can answer differently

```conllu
# sent_id = question:ai:5-hallucinations-confident-made-up-answers:t4:o1:1
# text = Real bots add randomness and can answer differently
1	Real	real	ADJ	JJ	Degree=Pos	2	amod	_	_
2	bots	bot	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	add	add	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	randomness	randomness	NOUN	NN	Number=Sing	3	obj	_	_
5	and	and	CCONJ	CC	_	7	cc	_	_
6	can	can	AUX	MD	VerbForm=Fin	7	aux	_	_
7	answer	answer	VERB	VB	VerbForm=Inf	3	conj	_	_
8	differently	differently	ADV	RB	_	7	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **add** *speech: assert* | present | Real bots | randomness |  |  |  |  | vn mix-22.1-2 «NP V NP»: agent=Agent randomness=Patient |
| 2 | **answer** *speech: assert* | can | Real bots *not said here* |  |  |  |  | differently *property* | vn reciprocate-112-1 «NP V»: agent=Agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
Nothing, that's exactly how bots work

```conllu
# sent_id = question:ai:5-hallucinations-confident-made-up-answers:t4:o2:1
# text = Nothing, that's exactly how bots work
1	Nothing	nothing	PRON	NN	Number=Sing|PronType=Neg	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	that	that	PRON	DT	Number=Sing|PronType=Dem	8	nsubj	_	SpaceAfter=No
4	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	cop	_	_
5	exactly	exactly	ADV	RB	_	8	advmod	_	_
6	how	how	ADV	WRB	PronType=Int	8	advmod	_	_
7	bots	bot	NOUN	NNS	Number=Plur	8	nsubj	_	_
8	work	work	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	acl:relcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present |  |  |  |  |  | exactly, work *property* | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
Real bots always answer twice

```conllu
# sent_id = question:ai:5-hallucinations-confident-made-up-answers:t4:o3:1
# text = Real bots always answer twice
1	Real	real	ADJ	JJ	Degree=Pos	2	amod	_	_
2	bots	bot	NOUN	NNS	Number=Plur	4	nsubj	_	_
3	always	always	ADV	RB	PronType=Tot	4	advmod	_	_
4	answer	answer	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	twice	twice	ADV	RB	NumForm=Word|NumType=Mult	4	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **answer** *speech: assert* | present | Real bots |  |  |  |  | always, twice *property* | vn reciprocate-112-1 «NP V»: agent=Agent |

### Option 4 {#o4}

<!-- .ven lang=en -->
Real bots never answer at all

```conllu
# sent_id = question:ai:5-hallucinations-confident-made-up-answers:t4:o4:1
# text = Real bots never answer at all
1	Real	real	ADJ	JJ	Degree=Pos	2	amod	_	_
2	bots	bot	NOUN	NNS	Number=Plur	4	nsubj	_	_
3	never	never	ADV	RB	PronType=Neg	4	advmod	_	_
4	answer	answer	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	at	at	ADP	IN	_	6	case	_	_
6	all	all	DET	DT	PronType=Tot	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **answer** *speech: assert* | present | Real bots |  |  | all |  |  | vn reciprocate-112-1 «NP V»: agent=Agent |

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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.

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