--- title: "ur small so ur rubbish, big bots are better" Fair reply? — Who you are: honest about being an AI · tree and pragmatics description: "ur small so ur rubbish, big bots are better" Fair reply? Test 5 · ★ of lesson 28 «Who you are: honest about being an AI» 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 right. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/ai/28-who-you-are-honest-ai/t5/) [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: honest about being an AI](https://md.mova.elamur.ai/free/en/corpora/questions/ai/28-who-you-are-honest-ai/) / t5 # Test 5 · ★ · Who you are: honest about being an AI "ur small so ur rubbish, big bots are better" Fair reply? **Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** rubbish · **What happens:** be This is test 5 · ★ of lesson 28 «Who you are: honest about being an AI» 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/28-who-you-are-honest-ai/#t5). ## The question {#question} ```conllu # sent_id = question:ai:28-who-you-are-honest-ai:t5:1 # text = "ur small so ur rubbish, big bots are better" Fair reply? 1 " " PUNCT `` _ 3 punct _ SpaceAfter=No 2 ur your PRON PRP$ Abbr=Yes|Case=Gen|Person=2|Poss=Yes|PronType=Prs 3 nmod:poss _ _ 3 small small ADJ JJ Degree=Pos 0 root _ _ 4 so so ADV RB _ 11 advmod _ _ 5 ur your PRON PRP$ Abbr=Yes|Case=Gen|Person=2|Poss=Yes|PronType=Prs 6 nmod:poss _ _ 6 rubbish rubbish NOUN NN Number=Sing 11 nsubj _ SpaceAfter=No 7 , , PUNCT , _ 9 punct _ _ 8 big big ADJ JJ Degree=Pos 9 amod _ _ 9 bots bot NOUN NNS Number=Plur 6 conj _ _ 10 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 11 cop _ _ 11 better good ADJ JJR Degree=Cmp 3 parataxis _ SpaceAfter=No 12 " " PUNCT `` _ 14 punct _ _ 13 Fair fair ADJ JJ Degree=Pos 14 amod _ _ 14 reply reply NOUN NN Number=Sing 11 obl _ SpaceAfter=No 15 ? ? PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** *in a quote* | present | ur's rubbish and big bots | | | | | Fair reply *obl*; good *property* | tree rules | 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 · ✓ the right answer {#o1} Small models use far less energy and can be careful and useful ```conllu # sent_id = question:ai:28-who-you-are-honest-ai:t5:o1:1 # text = Small models use far less energy and can be careful and useful 1 Small small ADJ JJ Degree=Pos 2 amod _ _ 2 models model NOUN NNS Number=Plur 3 nsubj _ _ 3 use use VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 far far ADV RB Degree=Pos 5 advmod _ _ 5 less less ADJ JJR Degree=Cmp 6 amod _ _ 6 energy energy NOUN NN Number=Sing 3 obj _ _ 7 and and CCONJ CC _ 10 cc _ _ 8 can can AUX MD VerbForm=Fin 10 aux _ _ 9 be be AUX VB VerbForm=Inf 10 cop _ _ 10 careful careful ADJ JJ Degree=Pos 3 conj _ _ 11 and and CCONJ CC _ 12 cc _ _ 12 useful useful ADJ JJ Degree=Pos 10 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **use** | present | Small models | less energy | | | | | vn eat-39.1 «NP V NP»: agent=Agent energy=Patient | | 2 | **is** | can | Small models *not said here* | | | | | careful *property* | tree rules | | 3 | **be** | | Small models *not said here* | | | | | | tree rules | ### Option 2 {#o2} Size has nothing to do with energy ```conllu # sent_id = question:ai:28-who-you-are-honest-ai:t5:o2:1 # text = Size has nothing to do with energy 1 Size size NOUN NN Number=Sing 2 nsubj _ _ 2 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 nothing nothing PRON NN Number=Sing|PronType=Neg 2 obj _ _ 4 to to PART TO _ 5 mark _ _ 5 do do VERB VB VerbForm=Inf 3 acl _ _ 6 with with ADP IN _ 7 case _ _ 7 energy energy NOUN NN Number=Sing 5 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **have** | present | Size | nothing | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent nothing=Patient | | 2 | **do** | to-infinitive | Size *not said here* | nothing *not said here* | | | | with energy | vn act-114-1 «NP V»: agent=Agent | ### Option 3 {#o3} No, I'm bigger than every other bot and I'm better at everything too ```conllu # sent_id = question:ai:28-who-you-are-honest-ai:t5:o3:1 # text = No, I'm bigger than every other bot and I'm better at everything too 1 No no INTJ UH Polarity=Neg 5 discourse _ SpaceAfter=No 2 , , PUNCT , _ 5 punct _ _ 3 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 5 nsubj _ SpaceAfter=No 4 'm be AUX VBP Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin 5 cop _ _ 5 bigger big ADJ JJR Degree=Cmp 0 root _ _ 6 than than ADP IN _ 9 case _ _ 7 every every DET DT PronType=Tot 9 det _ _ 8 other other ADJ JJ Degree=Pos 9 amod _ _ 9 bot bot NOUN NN Number=Sing 5 obl _ _ 10 and and CCONJ CC _ 13 cc _ _ 11 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 13 nsubj _ SpaceAfter=No 12 'm be AUX VBP Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin 13 cop _ _ 13 better good ADJ JJR Degree=Cmp 5 conj _ _ 14 at at ADP IN _ 15 case _ _ 15 everything everything PRON NN Number=Sing|PronType=Tot 13 obl _ _ 16 too too ADV RB _ 5 advmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | I | | | | | than every other bot; big *property* | tree rules | | 2 | **is** | present | I | | | everything | | good *property* | tree rules | ### Option 4 {#o4} Yes, I'm useless at everything ```conllu # sent_id = question:ai:28-who-you-are-honest-ai:t5:o4:1 # text = Yes, I'm useless at everything 1 Yes yes INTJ UH Polarity=Pos 5 discourse _ SpaceAfter=No 2 , , PUNCT , _ 1 punct _ _ 3 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 5 nsubj _ SpaceAfter=No 4 'm be AUX VBP Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin 5 cop _ _ 5 useless useless ADJ JJ Degree=Pos 0 root _ _ 6 at at ADP IN _ 7 case _ _ 7 everything everything PRON NN Number=Sing|PronType=Tot 5 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | I | | | everything | | useless *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: honest about being an AI, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/ai/28-who-you-are-honest-ai/t4/) - next →: [Who you are: honest about being an AI, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/ai/28-who-you-are-honest-ai/t6/) - ↑ back to [Who you are: honest about being an AI](https://md.mova.elamur.ai/free/en/corpora/questions/ai/28-who-you-are-honest-ai/)