--- title: A friend says, "AI can just count letters, it never gets them wrong.… — Who you are: being wrong and learning · tree and pragmatics description: A friend says, "AI can just count letters, it never gets them wrong." What is true? Test 3 of lesson 29 «Who you are: being wrong and learning» 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. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/ai/29-who-you-are-being-wrong-and-learning/t3/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [AI](https://md.mova.elamur.ai/free/en/corpora/questions/ai/) / [Who you are: being wrong and learning](https://md.mova.elamur.ai/free/en/corpora/questions/ai/29-who-you-are-being-wrong-and-learning/) / t3 # Test 3 · Who you are: being wrong and learning A friend says, "AI can just count letters, it never gets them wrong." What is true? **Mova's choice:** option 3 · **The right answer:** option 1 · wrong ✗ · **Who acts:** friend, AI · **What happens:** say, count, not get, be · **To what, where:** letters · **Speech:** someone speaks here This is test 3 of lesson 29 «Who you are: being wrong and learning» 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/29-who-you-are-being-wrong-and-learning/#t3). ## The question {#question} *Sentence 1:* A friend says, "AI can just count letters, it never gets them wrong." ```conllu # sent_id = question:ai:29-who-you-are-being-wrong-and-learning:t3:1 # text = A friend says, "AI can just count letters, it never gets them wrong." 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 friend friend NOUN NN Number=Sing 3 nsubj _ _ 3 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ SpaceAfter=No 4 , , PUNCT , _ 9 punct _ _ 5 " " PUNCT `` _ 9 punct _ SpaceAfter=No 6 AI ai NOUN NN Number=Sing 9 nsubj _ _ 7 can can AUX MD VerbForm=Fin 9 aux _ _ 8 just just ADV RB _ 9 advmod _ _ 9 count count VERB VB VerbForm=Inf 3 ccomp _ _ 10 letters letter NOUN NNS Number=Plur 9 obj _ SpaceAfter=No 11 , , PUNCT , _ 14 punct _ _ 12 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 14 nsubj _ _ 13 never never ADV RB PronType=Neg 14 advmod _ _ 14 gets get VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 conj _ _ 15 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 14 obj _ _ 16 wrong wrong ADJ JJ Degree=Pos 14 xcomp _ SpaceAfter=No 17 . . PUNCT . _ 14 punct _ SpaceAfter=No 18 " " PUNCT '' _ 14 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | present | a friend | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 2 | **count** *in a quote* | can | AI | letters | | | | | vn multiply-108 «NP V NP»: agent=Agent letter=Theme | | 3 | **not** **get** *in a quote* | present | AI | letters *= letter* | | | | wrong *property* | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer they=Stimulus | 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. *Sentence 2:* What is true? ```conllu # sent_id = question:ai:29-who-you-are-being-wrong-and-learning:t3:2 # text = What is true? 1 What what PRON WP PronType=Int 3 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 true true ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 4 ? ? PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | | | | | | true *property* | tree rules | ## The options {#options} ### Option 1 · ✓ the right answer {#o1} Models can get counting wrong, so careful step-by-step checking matters ```conllu # sent_id = question:ai:29-who-you-are-being-wrong-and-learning:t3:o1:1 # text = Models can get counting wrong, so careful step-by-step checking matters 1 Models model NOUN NNS Number=Plur 3 nsubj _ _ 2 can can AUX MD VerbForm=Fin 3 aux _ _ 3 get get VERB VB VerbForm=Inf 0 root _ _ 4 counting count VERB VBG VerbForm=Ger 3 xcomp _ _ 5 wrong wrong ADJ JJ Degree=Pos 4 obj _ SpaceAfter=No 6 , , PUNCT , _ 15 punct _ _ 7 so so ADV RB _ 15 advmod _ _ 8 careful careful ADJ JJ Degree=Pos 9 amod _ _ 9 step step NOUN NN Number=Sing 14 compound _ SpaceAfter=No 10 - - PUNCT HYPH _ 13 punct _ SpaceAfter=No 11 by by ADP IN _ 13 case _ SpaceAfter=No 12 - - PUNCT HYPH _ 11 punct _ SpaceAfter=No 13 step step NOUN NN Number=Sing 14 compound _ _ 14 checking checking NOUN NN Number=Sing 15 nsubj _ _ 15 matters matter VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 advcl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **get** | can | Models | | | | | | vn comprehend-87.2-1 «NP V S\_ING»: agent=Experiencer clause=Stimulus | | 2 | **count** | gerund | Models *not said here* | wrong | | | | | vn multiply-108 «NP V NP»: agent=Agent wrong=Theme | | 3 | **matter** | present | step step checking | | | | | | vn matter-91 «NP V»: agent=Stimulus | ### Option 2 {#o2} Models never make counting mistakes, because counting is the easiest thing for them ```conllu # sent_id = question:ai:29-who-you-are-being-wrong-and-learning:t3:o2:1 # text = Models never make counting mistakes, because counting is the easiest thing for them 1 Models model NOUN NNS Number=Plur 3 nsubj _ _ 2 never never ADV RB PronType=Neg 3 advmod _ _ 3 make make VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 counting count VERB VBG VerbForm=Ger 3 xcomp _ _ 5 mistakes mistake NOUN NNS Number=Plur 4 obj _ SpaceAfter=No 6 , , PUNCT , _ 12 punct _ _ 7 because because SCONJ IN _ 12 mark _ _ 8 counting count VERB VBG Tense=Pres|VerbForm=Part 12 nsubj _ _ 9 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 12 cop _ _ 10 the the DET DT Definite=Def|PronType=Art 12 det _ _ 11 easiest easy ADJ JJS Degree=Sup 12 amod _ _ 12 thing thing NOUN NN Number=Sing 3 conj _ _ 13 for for ADP IN _ 14 case _ _ 14 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 12 nmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **not** **make** | present | Models | | | | | | tree rules | | 2 | **not** **count** | gerund | Models *not said here* | mistakes | | | | | vn multiply-108 «NP V NP»: agent=Agent mistake=Theme | | 3 | **count** | gerund | | | | | | | vn matter-91 «NP V»: agent=Stimulus | | 4 | **is a** | present | | the easiest thing | | | | for Models *= model* | tree rules | ### Option 3 · ← Mova's choice {#o3} Models can't count letters at all ```conllu # sent_id = question:ai:29-who-you-are-being-wrong-and-learning:t3:o3:1 # text = Models can't count letters at all 1 Models model NOUN NNS Number=Plur 4 nsubj _ _ 2 ca can AUX MD VerbForm=Fin 4 aux _ SpaceAfter=No 3 n't not PART RB Polarity=Neg 4 advmod _ _ 4 count count VERB VB VerbForm=Inf 0 root _ _ 5 letters letter NOUN NNS Number=Plur 4 obj _ _ 6 at at ADP IN _ 7 case _ _ 7 all all DET DT PronType=Tot 4 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **not** **count** | can | Models | letters | | all | | | vn multiply-108 «NP V NP»: agent=Agent letter=Theme | ### Option 4 {#o4} Counting is only hard for people ```conllu # sent_id = question:ai:29-who-you-are-being-wrong-and-learning:t3:o4:1 # text = Counting is only hard for people 1 Counting count VERB VBG Tense=Pres|VerbForm=Part 4 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 cop _ _ 3 only only ADV RB _ 4 advmod _ _ 4 hard hard ADJ JJ Degree=Pos 0 root _ _ 5 for for ADP IN _ 6 case _ _ 6 people people NOUN NNS Number=Plur 4 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **count** | gerund | | | | | | | vn matter-91 «NP V»: agent=Stimulus | | 2 | **is** | present | | | | | | for people; hard *property* | tree rules | **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. - ← previous: [Who you are: being wrong and learning, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/ai/29-who-you-are-being-wrong-and-learning/t2/) - next →: [Who you are: being wrong and learning, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/ai/29-who-you-are-being-wrong-and-learning/t4/) - ↑ back to [Who you are: being wrong and learning](https://md.mova.elamur.ai/free/en/corpora/questions/ai/29-who-you-are-being-wrong-and-learning/)