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ReRites

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The human editing of the neural network's output is fundamental to this project, and Jhave gives examples of both unedited text extracts and his edited versions in publications about the project. Kyle Booten describes ReRites as "simultaneously dusty and outrageously verdant, monotonously sublime and
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writes that the "method of carving the digital outputs provided by the language model as part of a collaborative remix jam session with GPT-2, where the language artist and the language model play off each other’s unexpected outputs as if caught in a live postproduction set, is one I share with
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as a rite: "Every morning for 2 hours (normally 6:30–8:30am) I get up and edit the poetic output of a neural net. Deleting, weaving, conjugating, lineating, cohering. Re-writing. Re-wiring authorship: hybrid augmented enhanced evolutionary". There is video documentation of the writing process.
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was first shared with an audience through a series of performances where audience members and poets would participate in reading the automatically generated texts, which appeared on screen so fast that human readers could barely keep up. This has been described as allowing participants to
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project began as a daily rite of writing with a neural network, expanded into a series of performances from which video documentation has been published online, and concluded with a set of 12 books and an accompanying book of essays published by Anteism Books in 2019. In
169:(SalesForce)". He explains that the "models were trained on a customised corpus of 600,000 lines of poetry ranging from the romantic epoch to the 20th century avant garde". Jhave maintains a GitHub repository with some of the code supporting ReRites. 224:"Who or what is the authority of the work? The original data fed into the machine, that is not currently retrievable or discernible from the final works? The code that was taken and adapted for his purposes? Or Jhave, the human editor? 196:
as particularly poignant in the time of the pandemic, as it was "a documentation of the performance of the private ritual of writing and the obsessive-compulsive need for writers to communicate — even when no one else is reading".
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project each month. These twelve volumes are accompanied by a book of essays, all published by Anteism Books. The accompanying essays provide critical responses to the project from poets and scholars including
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Wright concludes that Jhave is the only actor with any intentionality and therefore the authority of the work. The centrality of the human editor is also emphasised by other scholars. In a chapter analysing
89:"re-discover the peculiar pleasures of being embodied", or, in Jhave's own words, as a space where human participants were "playing their wits and voices against an evocative infinite deep-learning muse". 216:
has "not been directed by literary preconceptions inscribed in the program itself, but only by patterns and rhythms pre-existing in the corpora". In an essay for the Australian journal
1068: 490: 438: 1159: 1129: 157:, Jhave generated poems using, in his own words, "neural network code (..) adapted from three corporate github-hosted machine-learning libraries: 1044: 820: 800: 783: 530: 466: 414: 1149: 406:
ReRites : human + A.I. poetry; Raw output : A.I. trained on custom poetry corpus; Responses : 8 essays about poetry and A.I.
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uses 21st century neural networks, it has been compared to earlier literary traditions. Poet Victoria Stanton, who read at one of the
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The first performance was at Brown University's Interrupt Festival in 2019. It has been performed many times since, including at the
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Cayley, John (2020). "Reading Language Art in Digital Media: Reconfigurations of Experimental Practices". In Colby, Georgina (ed.).
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as "one of the most thorough and beautiful" poetic responses to machine learning. The work's influence on the field of
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Erslev, Malthe Stavning (2023). "A Poetics of Misrepresentation: The Mimesis of Machine Learning in ReRites". In
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electronic literature composer David Jhave Johnston, whose AI poetry experiments precede my own investigations."
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Jhave describes the process of working with the output from the neural network as "carving". In his book
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serve a legitimising function for a genre of poetry that is not yet institutionally acknowledged.
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Jhave (the artist name that David Jhave Johnston goes by) describes the process of writing
869: 134: 114: 110: 93: 517:. C&C '19. New York, NY, USA: Association for Computing Machinery. pp. 444–448. 204:
has been raised by several critics. Although generated poetry is an established genre in
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that used neural network models trained to generate poetry which the author then edited.
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describes the early phases of the project in 2016, when it bore the preliminary name
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Booten, Kyle (2019). "Harvesting ReRites". In Johnston, David Jhave (ed.).
456: 404: 510: 885: 208:, Cayley notes that unlike the combinatory poems created by authors like 138: 894: 277: 162: 870:"La interacción y el texto: Cruce de recursos en el arte electrónico" 331:"Announcing the 2022 ELO Prizes – Electronic Literature Organization" 257: 1084:"reception of literature generated by artificial neural networks" 555: 355: 272:
firmly within the long tradition of generative poetry both in
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For a single year Jhave published one book of poetry from the
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Malthe Stavning Erslev argues that the machine learning
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Robert Coover Award for a Work of Electronic Literature
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ReRites : Human + A.I. Poetry Project (2016–2019)
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ReRites: Human + A.I. Poetry + Raw Output + Responses
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Proceedings of the 2019 on Creativity and Cognition
868:Oviedo, Cynthia Patricia VillagĂłmez (2022-06-28). 985:"Digital Literary Creative Practice and COVID-19" 28:) is a literary work of "Human + A.I. poetry" by 188:was acknowledged in 2022, when the work won the 1036:My life as an artificial creative intelligence 301:My Life as an Artificial Creative Intelligence 77:speckled with beautiful and rare specimens". 8: 851:TEXT: Journal of Writing and Writing Courses 557:07-04-2018 RERITES (writing process 4xspeed) 778:. Edinburgh University Press. p. 200. 1082:Husárová, Zuzana; PioreckĂ˝, Karel (2022). 1067:: CS1 maint: location missing publisher ( 805:Oxford Research Encyclopedia of Literature 751:Adapted AWD-LSTM / AWD-QRNN Language Model 489:: CS1 maint: location missing publisher ( 437:: CS1 maint: location missing publisher ( 983:Wright, David Thomas Henry (2022-10-04). 931:The Routledge Companion to Literary Media 893: 625:"ReRites: Human and AI poetry | Barbican" 929:; Round, Julia; Thomas, Bronwen (eds.). 801:"Authorship in Computer-Generated Texts" 409:Stephanie Strickland. Montreal, Quebec. 200:The question of authorship and voice in 813:10.1093/acrefore/9780190201098.013.1226 316: 296:(1952) and more contemporary examples. 1060: 554:Johnston, David (Jhave) (2018-04-07), 482: 430: 354:Johnston, David (Jhave) (2021-03-01), 26:RERITES, ReadingRites, Big Data Poetry 16:Literary work of "Human + A.I. poetry" 1028: 1026: 769: 767: 7: 1160:Canadian electronic literature works 1039:. Stanford, California. p. 57. 574: 572: 509:Johnston, David Jhave (2019-06-13). 504: 502: 500: 450: 448: 398: 396: 324: 322: 320: 842:Wright, David Thomas Henry (2020). 403:Strickland, Stephanie, ed. (2019). 650:"ReRites - David (Jhave) Johnston" 335:Electronic Literature Organization 190:Electronic Literature Organization 14: 1130:2010s electronic literature works 288:to computer-generated poems like 989:Journal of Intercultural Studies 579:Stanton, Victoria (2019-10-22). 153:Starting in 2016 under the name 958:Ranaudo, Abegail (2019-10-27). 799:Henrickson, Leah (2020-05-29). 673:Parrish, Allison (2022-06-28). 276:and print, stretching from the 511:"ReRites (& ReadingRites)" 282:Cent Mille Milliards de Poemes 237:the dataset it is trained on. 1: 1001:10.1080/07256868.2022.2128081 96:in London and Anteism Books. 776:Reading Experimental Writing 1150:Natural language processing 248:performances, has compared 137:notes elsewhere that these 1176: 329:Snyder, R. (2022-10-04). 268:. Scholars also position 1103:10.31577/WLS.2022.14.1.4 1091:World Literature Studies 455:Rettberg, Scott (2019). 133:, and Chris Funkhouser. 723:Johnston, David Jhave. 698:Johnston, David Jhave. 523:10.1145/3325480.3329182 1033:Amerika, Mark (2022). 1155:Generative literature 458:Electronic literature 294:Love Letter Generator 274:electronic literature 206:electronic literature 186:electronic literature 55:Electronic Literature 886:10.1387/ausart.23583 748:jhave (2019-06-27), 675:"Material paratexts" 613:. MontrĂ©al: Anteism. 290:Christopher Strachey 119:Stephanie Strickland 30:David Jhave Johnston 1140:21st-century poetry 629:www.barbican.org.uk 100:Print publications 1046:978-1-5036-3171-7 822:978-0-19-020109-8 785:978-1-4744-4040-0 532:978-1-4503-5917-7 468:978-1-5095-1681-0 461:. Cambridge, UK. 416:978-1-926968-50-6 149:Technical details 44:About the project 1167: 1115: 1114: 1088: 1079: 1073: 1072: 1066: 1058: 1030: 1021: 1020: 980: 974: 973: 971: 970: 955: 949: 948: 922: 916: 915: 897: 865: 859: 858: 848: 839: 833: 832: 830: 829: 796: 790: 789: 771: 762: 761: 760: 759: 745: 739: 738: 736: 735: 720: 714: 713: 711: 710: 695: 689: 688: 686: 685: 670: 664: 663: 661: 660: 646: 640: 639: 637: 636: 621: 615: 614: 612: 601: 595: 594: 592: 591: 585:Bank of Victoria 576: 567: 566: 565: 564: 551: 545: 544: 506: 495: 494: 488: 480: 452: 443: 442: 436: 428: 400: 391: 390: 388: 387: 373: 367: 366: 365: 364: 351: 345: 344: 342: 341: 326: 266:cut-up technique 180:is described by 165:(Facebook), and 1175: 1174: 1170: 1169: 1168: 1166: 1165: 1164: 1145:Canadian poetry 1120: 1119: 1118: 1086: 1081: 1080: 1076: 1059: 1047: 1032: 1031: 1024: 982: 981: 977: 968: 966: 957: 956: 952: 945: 927:Ensslin, Astrid 924: 923: 919: 867: 866: 862: 846: 841: 840: 836: 827: 825: 823: 798: 797: 793: 786: 773: 772: 765: 757: 755: 747: 746: 742: 733: 731: 729:Big Data Poetry 722: 721: 717: 708: 706: 697: 696: 692: 683: 681: 672: 671: 667: 658: 656: 648: 647: 643: 634: 632: 623: 622: 618: 610: 603: 602: 598: 589: 587: 578: 577: 570: 562: 560: 553: 552: 548: 533: 508: 507: 498: 481: 469: 454: 453: 446: 429: 417: 402: 401: 394: 385: 383: 375: 374: 370: 362: 360: 353: 352: 348: 339: 337: 328: 327: 318: 314: 175: 155:Big Data Poetry 151: 135:Allison Parrish 125:, Lai-Tze Fan, 117:, Kyle Booten, 115:Johanna Drucker 111:Allison Parrish 102: 94:Barbican Centre 83: 63:Big Data Poetry 46: 24:(also known as 17: 12: 11: 5: 1173: 1171: 1163: 1162: 1157: 1152: 1147: 1142: 1137: 1132: 1122: 1121: 1117: 1116: 1074: 1045: 1022: 995:(6): 897–910. 975: 950: 943: 917: 876:(in Spanish). 860: 834: 821: 791: 784: 763: 740: 715: 690: 665: 641: 616: 596: 568: 546: 531: 496: 467: 444: 415: 392: 368: 346: 315: 313: 310: 284:and Nabokov's 174: 171: 150: 147: 101: 98: 82: 79: 59:Scott Rettberg 45: 42: 15: 13: 10: 9: 6: 4: 3: 2: 1172: 1161: 1158: 1156: 1153: 1151: 1148: 1146: 1143: 1141: 1138: 1136: 1133: 1131: 1128: 1127: 1125: 1112: 1108: 1104: 1100: 1096: 1092: 1085: 1078: 1075: 1070: 1064: 1056: 1052: 1048: 1042: 1038: 1037: 1029: 1027: 1023: 1018: 1014: 1010: 1006: 1002: 998: 994: 990: 986: 979: 976: 965: 961: 954: 951: 946: 944:9781003119739 940: 936: 932: 928: 921: 918: 913: 909: 905: 901: 896: 891: 887: 883: 879: 875: 871: 864: 861: 856: 852: 845: 838: 835: 824: 818: 814: 810: 806: 802: 795: 792: 787: 781: 777: 770: 768: 764: 753: 752: 744: 741: 730: 726: 725:"About – BDP" 719: 716: 705: 701: 694: 691: 680: 679:Allison Posts 676: 669: 666: 655: 654:Anteism Books 651: 645: 642: 631:. 22 May 2019 630: 626: 620: 617: 609: 608: 600: 597: 586: 582: 575: 573: 569: 559: 558: 550: 547: 542: 538: 534: 528: 524: 520: 516: 512: 505: 503: 501: 497: 492: 486: 478: 474: 470: 464: 460: 459: 451: 449: 445: 440: 434: 426: 422: 418: 412: 408: 407: 399: 397: 393: 382: 378: 372: 369: 359: 358: 350: 347: 336: 332: 325: 323: 321: 317: 311: 309: 306: 302: 297: 295: 291: 287: 283: 279: 275: 271: 267: 263: 260:movement and 259: 255: 251: 247: 243: 238: 236: 235:misrepresents 232: 227: 223: 219: 215: 211: 210:Nick Montfort 207: 203: 198: 195: 191: 187: 183: 179: 172: 170: 168: 164: 160: 156: 148: 146: 144: 140: 136: 132: 131:MairĂ©ad Byrne 128: 127:Nick Montfort 124: 120: 116: 112: 107: 99: 97: 95: 90: 87: 80: 78: 74: 71: 66: 64: 60: 56: 51: 43: 41: 39: 35: 31: 27: 23: 22: 1094: 1090: 1077: 1035: 992: 988: 978: 967:. Retrieved 963: 953: 930: 920: 877: 873: 863: 854: 850: 837: 826:. Retrieved 804: 794: 775: 756:, retrieved 750: 743: 732:. Retrieved 728: 718: 707:. Retrieved 703: 693: 682:. Retrieved 678: 668: 657:. Retrieved 653: 644: 633:. Retrieved 628: 619: 606: 599: 588:. Retrieved 584: 561:, retrieved 556: 549: 514: 457: 405: 384:. Retrieved 380: 371: 361:, retrieved 356: 349: 338:. Retrieved 334: 305:Mark Amerika 300: 298: 280:, Queneau's 269: 262:Mark Amerika 254:found poetry 249: 245: 241: 239: 234: 230: 225: 221: 217: 213: 201: 199: 193: 177: 176: 154: 152: 142: 105: 103: 91: 85: 84: 81:Performances 75: 69: 67: 62: 54: 49: 47: 33: 25: 20: 19: 18: 895:10810/59061 182:John Cayley 123:John Cayley 1124:Categories 1055:1269411078 969:2022-10-11 828:2022-10-11 758:2022-10-11 734:2022-10-11 709:2022-10-11 684:2022-10-11 659:2022-10-11 635:2022-10-11 590:2022-10-11 563:2022-10-11 477:1038024013 425:1110014654 386:2022-10-11 363:2022-10-11 340:2022-10-11 312:References 161:(Google), 159:TensorFlow 1135:New media 1111:248305840 1097:: 44–60. 1063:cite book 1017:252723044 1009:0725-6868 935:Routledge 912:252296776 904:2340-9134 541:189895861 485:cite book 433:cite book 286:Pale Fire 173:Reception 139:paratexts 40:in 2022. 964:The Link 754:, GitHub 222:ReRites: 36:won the 704:glia.ca 381:glia.ca 278:I Ching 270:ReRites 264:to the 250:ReRites 246:ReRites 242:ReRites 231:ReRites 214:ReRites 202:ReRites 194:ReRites 178:ReRites 163:PyTorch 143:ReRites 106:ReRites 86:ReRites 70:ReRites 50:ReRites 34:ReRites 21:ReRites 1109:  1053:  1043:  1015:  1007:  941:  910:  902:  874:AusArt 819:  782:  539:  529:  475:  465:  423:  413:  258:Oulipo 240:While 1107:S2CID 1087:(PDF) 1013:S2CID 908:S2CID 880:(1). 847:(PDF) 611:(PDF) 537:S2CID 1069:link 1051:OCLC 1041:ISBN 1005:ISSN 939:ISBN 900:ISSN 857:(2). 817:ISBN 780:ISBN 527:ISBN 491:link 473:OCLC 463:ISBN 439:link 421:OCLC 411:ISBN 218:TEXT 167:AWSD 48:The 1099:doi 997:doi 890:hdl 882:doi 809:doi 519:doi 292:'s 252:to 141:to 1126:: 1105:. 1095:14 1093:. 1089:. 1065:}} 1061:{{ 1049:. 1025:^ 1011:. 1003:. 993:43 991:. 987:. 962:. 937:. 933:. 906:. 898:. 888:. 878:10 872:. 855:24 853:. 849:. 815:. 807:. 803:. 766:^ 727:. 702:. 677:. 652:. 627:. 583:. 571:^ 535:. 525:. 513:. 499:^ 487:}} 483:{{ 471:. 447:^ 435:}} 431:{{ 419:. 395:^ 379:. 333:. 319:^ 303:, 129:, 121:, 113:, 65:. 57:, 1113:. 1101:: 1071:) 1057:. 1019:. 999:: 972:. 947:. 914:. 892:: 884:: 831:. 811:: 788:. 737:. 712:. 687:. 662:. 638:. 593:. 543:. 521:: 493:) 479:. 441:) 427:. 389:. 343:. 226:"

Index

David Jhave Johnston
Robert Coover Award for a Work of Electronic Literature
Scott Rettberg
Barbican Centre
Allison Parrish
Johanna Drucker
Stephanie Strickland
John Cayley
Nick Montfort
Mairéad Byrne
Allison Parrish
paratexts
TensorFlow
PyTorch
AWSD
John Cayley
electronic literature
Electronic Literature Organization
electronic literature
Nick Montfort
found poetry
Oulipo
Mark Amerika
cut-up technique
electronic literature
I Ching
Cent Mille Milliards de Poemes
Pale Fire
Christopher Strachey
Love Letter Generator

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