---
title: AI is good at the usual cases it has seen many times and often weak… — What is AI? Pattern-guessers, not people · tree and pragmatics
description: AI is good at the usual cases it has seen many times and often weak at unusual or brand-new ones. Who acts: AI. A sentence of the lesson «What is AI? Pattern-guessers, not people» of the ai course of Mova's primary school with its dependency tree and the pragmatics of every clause.
---

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# What is AI? Pattern-guessers, not people, sentence 16

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AI is good at the usual cases it has seen many times and often weak at unusual or brand-new ones.

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**Who acts:** AI · **What happens:** be, see · **To what, where:** usual cases, unusual

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This is a sentence of the lesson «What is AI? Pattern-guessers, not people» of the ai course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (AI), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:001-what-is-ai.lesson:16
# text = AI is good at the usual cases it has seen many times and often weak at unusual or brand-new ones.
# source = school lesson (ours)
# course = ai
# lesson = 001-what-is-ai.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1
1	AI	ai	NOUN	NN	Number=Sing	3	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	good	good	ADJ	JJ	Degree=Pos	0	root	_	_
4	at	at	ADP	IN	_	7	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
6	usual	usual	ADJ	JJ	Degree=Pos	7	amod	_	_
7	cases	case	NOUN	NNS	Number=Plur	3	obl	_	_
8	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	10	nsubj	_	_
9	has	have	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	10	aux	_	_
10	seen	see	VERB	VBN	Tense=Past|VerbForm=Part	7	acl:relcl	_	_
11	many	many	ADJ	JJ	Degree=Pos	12	amod	_	_
12	times	time	NOUN	NNS	Number=Plur	10	obl:unmarked	_	_
13	and	and	CCONJ	CC	_	15	cc	_	_
14	often	often	ADV	RB	_	15	advmod	_	_
15	weak	weak	ADJ	JJ	Degree=Pos	3	conj	_	_
16	at	at	ADP	IN	_	17	case	_	_
17	unusual	unusual	ADJ	JJ	Degree=Pos	15	obl	_	_
18	or	or	CCONJ	CC	_	22	cc	_	_
19	brand	brand	NOUN	NN	Number=Sing	22	compound	_	_
20	-	-	PUNCT	HYPH	_	19	punct	_	_
21	new	new	ADJ	JJ	Degree=Pos	17	conj	_	Agree=R5-strong|Haiku=22:amod
22	ones	one	NOUN	NNS	Number=Plur	17	conj	_	_
23	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

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- form: statement
- act: assert
- voice: narrator
- polarity: none
- teacher: changed act=assert

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | AI |  |  | the usual cases |  | good *property* | tree rules |
| 2 | **see** | present · perfect | AI | the usual cases *not said here* |  |  | time |  | vn comprehend-87.2-1-1 «NP V NP»: agent=Experiencer case=Stimulus |
| 3 | **be** |  | AI *not said here* |  |  | unusual or brand ones |  | often *property* | tree rules |

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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.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:ai:001-what-is-ai.lesson:16`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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- ← previous: [What is AI? Pattern-guessers, not people, 15](https://md.mova.elamur.ai/free/en/corpora/school/ai/1-what-is-ai/15/)
- next →: [How a language model learns: guessing…, 0](https://md.mova.elamur.ai/free/en/corpora/school/ai/2-guessing-the-next-word/0/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/1-what-is-ai/)