---
title: "AI's gonna take over the world, it's in every film innit" Which ans… — What is AI? Pattern-guessers, not people · tree and pragmatics
description: "AI's gonna take over the world, it's in every film innit" Which answer fits real AI? Test 7 of lesson 1 «What is AI? Pattern-guessers, not people» 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 7 · What is AI? Pattern-guessers, not people

<!-- .ven lang=en -->
"AI's gonna take over the world, it's in every film innit" Which answer fits real AI?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** AI, it, answer · **What happens:** take over, be, fit · **To what, where:** world, film innit, real AI · **Speech:** someone speaks here

<!-- .vabout -->
This is test 7 of lesson 1 «What is AI? Pattern-guessers, not people» 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/1-what-is-ai/#t7).

## The question {#question}

```conllu
# sent_id = question:ai:1-what-is-ai:t7:1
# text = "AI's gonna take over the world, it's in every film innit" Which answer fits real AI?
1	"	"	PUNCT	``	_	5	punct	_	SpaceAfter=No
2	AI	ai	NOUN	NN	Number=Sing	5	nsubj	_	SpaceAfter=No
3	's	's	PART	POS	_	2	case	_	_
4	gonna	gonna	X	FW	Foreign=Yes	5	dep	_	_
5	take	take	VERB	VB	VerbForm=Inf	15	csubj	_	_
6	over	over	ADP	RP	_	5	compound:prt	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	world	world	NOUN	NN	Number=Sing	5	obj	_	SpaceAfter=No
9	,	,	PUNCT	,	_	5	punct	_	_
10	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	15	nsubj	_	SpaceAfter=No
11	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	15	cop	_	_
12	in	in	ADP	IN	_	15	case	_	_
13	every	every	DET	DT	PronType=Tot	15	det	_	_
14	film	film	NOUN	NN	Number=Sing	15	compound	_	_
15	innit	innit	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
16	"	"	PUNCT	``	_	19	punct	_	_
17	Which	which	DET	WDT	PronType=Int	18	det	_	_
18	answer	answer	NOUN	NN	Number=Sing	19	nsubj	_	_
19	fits	fit	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	15	acl:relcl	_	_
20	real	real	ADJ	JJ	Degree=Pos	21	amod	_	_
21	AI	ai	NOUN	NN	Number=Sing	19	obj	_	SpaceAfter=No
22	?	?	PUNCT	.	_	15	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **take over** *in a quote* | infinitive | AI | the world |  |  |  |  | vn obtain-13.5.2 «NP V NP»: agent=Agent world=Theme |
| 2 | **is** *in a quote* | present | it |  |  | every film innit |  |  | tree rules |
| 3 | **fit** | present | which answer | real AI |  |  |  |  | vn adjust-26.9 «NP V NP»: agent=Agent ai=Patient |

<!-- .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.

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
It already runs every country in secret, the films just show it

```conllu
# sent_id = question:ai:1-what-is-ai:t7:o1:1
# text = It already runs every country in secret, the films just show it
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	_
2	already	already	ADV	RB	_	3	advmod	_	_
3	runs	run	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	every	every	DET	DT	PronType=Tot	5	det	_	_
5	country	country	NOUN	NN	Number=Sing	3	obj	_	_
6	in	in	ADP	IN	_	7	case	_	_
7	secret	secret	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
8	,	,	PUNCT	,	_	12	punct	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	films	film	NOUN	NNS	Number=Plur	12	nsubj	_	_
11	just	just	ADV	RB	_	12	advmod	_	_
12	show	show	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
13	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	12	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **run** | present | It | every country |  | secret |  |  | vn run-51.3.2-2-1 «PP.location V NP»: agent=Initial\_Location country=Theme |
| 2 | **show** | present | the films | country |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent it=Recipient |

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

<!-- .ven lang=en -->
Films make up robot villains; real AI is tools that people build and run

<!-- fold The tree, 14 words -->
```conllu
# sent_id = question:ai:1-what-is-ai:t7:o2:1
# text = Films make up robot villains; real AI is tools that people build and run
1	Films	film	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	make	make	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	up	up	ADP	RP	_	2	compound:prt	_	_
4	robot	robot	NOUN	NN	Number=Sing	5	compound	_	_
5	villains	villain	NOUN	NNS	Number=Plur	2	obj	_	SpaceAfter=No
6	;	;	PUNCT	,	_	10	punct	_	_
7	real	real	ADJ	JJ	Degree=Pos	8	amod	_	_
8	AI	ai	NOUN	NN	Number=Sing	10	compound	_	_
9	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	10	cop	_	_
10	tools	tool	NOUN	NNS	Number=Plur	2	parataxis	_	_
11	that	that	PRON	WDT	PronType=Rel	13	obj	_	_
12	people	people	NOUN	NNS	Number=Plur	13	nsubj	_	_
13	build	build	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	acl:relcl	_	_
14	and	and	CCONJ	CC	_	15	cc	_	_
15	run	run	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	13	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make up** | present | Films | robot villains |  |  |  |  | vn comprise-107.2-1 «NP V NP»: agent=Theme villain=Pivot |
| 2 | **is a** | present |  | AI tools |  |  |  |  | tree rules |
| 3 | **build** | present | people | AI tools |  |  |  |  | vn build-26.1-1 «NP V NP»: agent=Agent that=Product |
| 4 | **run** | present | people *not said here* |  |  |  |  |  | vn run-51.3.2-2-1 «NP V»: agent=Theme |

### Option 3 {#o3}

<!-- .ven lang=en -->
It will happen next week, the films said so

```conllu
# sent_id = question:ai:1-what-is-ai:t7:o3:1
# text = It will happen next week, the films said so
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	_
2	will	will	AUX	MD	VerbForm=Fin	3	aux	_	_
3	happen	happen	VERB	VB	VerbForm=Inf	0	root	_	_
4	next	next	ADJ	JJ	Degree=Pos	5	amod	_	_
5	week	week	NOUN	NN	Number=Sing	3	obl:unmarked	_	SpaceAfter=No
6	,	,	PUNCT	,	_	9	punct	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	films	film	NOUN	NNS	Number=Plur	9	nsubj	_	_
9	said	say	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	3	conj	_	_
10	so	so	ADV	RB	_	9	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **happen** | future | It |  |  |  | week |  | vn occur-48.3-1 «NP V»: agent=Theme |
| 2 | **say** *speech: assert* | past | the films |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent |

### Option 4 {#o4}

<!-- .ven lang=en -->
Films are documentaries about real AI

```conllu
# sent_id = question:ai:1-what-is-ai:t7:o4:1
# text = Films are documentaries about real AI
1	Films	film	NOUN	NNS	Number=Plur	3	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	documentaries	documentary	NOUN	NNS	Number=Plur	0	root	_	_
4	about	about	ADP	IN	_	6	case	_	_
5	real	real	ADJ	JJ	Degree=Pos	6	amod	_	_
6	AI	ai	NOUN	NN	Number=Sing	3	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | Films | documentaries |  |  |  | about real AI | tree rules |

<!-- div src -->

**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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