[{"data":1,"prerenderedAt":416},["ShallowReactive",2],{"project-23984071":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":35,"aspects":36,"strip":43,"post_text":46,"what":47,"said":76,"maker_in_thread":148,"shape":158,"grid":162,"attempts":379,"same_week":380,"maker_shows":45,"maker_hidden":408,"reader_version":409,"card":410},"23984071","Humans vs AI","A\u002FB testing GPT-3","title","Show HN: Humans vs AI – A\u002FB testing GPT-3","https:\u002F\u002Fvwo.com\u002Fab-testing-openai-gpt-3\u002F","vwo.com","paraschopra",1596005446,2020,100,78,648,3028,22,"notable","ai","ai copywriting experiment","web_app",[24,25,26,27],"gpt-3","ab testing","copywriting","conversion optimization","mixed",0.117,{"positive":31,"neutral":32,"mixed":33,"critical":34},8,11,0,4,23,{"idea":37,"execution":38,"design":40,"performance":42},{"positive":34,"critical":33},{"positive":33,"critical":39},1,{"positive":41,"critical":39},2,{"positive":41,"critical":33},[33,44,33,33,33,33,44,33,33,44,44,44,39,45,39,33,33,39,33,33,33,33,33,33,44,44,45,44,45,33,33,33,33,33,45,45,44,45,33,33],3,5,null,{"problem":48,"audience":55,"pricing":46,"motivation":60,"time_to_build":46,"stack":64,"openness":73,"stage":74,"team_size":75},{"value":49,"source":50,"evidence":51},"Comparing GPT-3 generated web copy against human copywriters on live websites","maker",[52],{"id":53,"by":11,"text":54},"23984124","Hello HN, As an A\u002FB testing company (VWO), it's exciting to see how much effective is GPT-3 generated copy against human copywriters on live websites. I like to think of this as…",{"value":56,"source":57,"evidence":58},"Marketers and website owners running A\u002FB tests","inferred",[59],{"id":53,"by":11,"text":54},{"value":61,"source":50,"evidence":62},"Show how well GPT-3 copy performs against humans, as a Turing test on the web",[63],{"id":53,"by":11,"text":54},[65,69],{"value":66,"source":50,"evidence":67},"GPT-3",[68],{"id":53,"by":11,"text":54},{"value":70,"source":50,"evidence":71},"VWO A\u002FB testing platform",[72],{"id":53,"by":11,"text":54},"unknown","launched","company",{"praise":77,"objections":94,"requests":113,"questions":121,"alternatives":136},[78],{"value":79,"source":80,"evidence":81},"Fun, cool use of GPT-3 on live sites","commenter",[82,86,90],{"id":83,"by":84,"text":85},"23984271","dmos62","Really cool seeing GPT-3 in the wild. Very nice landing page.",{"id":87,"by":88,"text":89},"23984776","renewiltord","Very cool use of the technology. Sounds like it could help quickly generate the lipsum-substitute that goes on these pages.",{"id":91,"by":92,"text":93},"23985708","C4stor","Whao, that's pretty cool ! I'm so curious of the results now ^^",[95,102],{"value":96,"source":80,"evidence":97},"Copy-paste or plagiarism risk from GPT-3 output",[98],{"id":99,"by":100,"text":101},"23985415","mkagenius","For all the texts generated by GPT3, is anyone verifying that it's not just copy pasting paragraphs from previous seen texts? (like by, searching n-grams or even just googling…",{"value":103,"source":80,"evidence":104},"Concern GPT-3 will fuel SEO spam and misinformation",[105,109],{"id":106,"by":107,"text":108},"23984377","tren","I feel like GPT-3 is going to unleash the next wave of SEO spam. Content spinning will be taken to the next level, will Google be able to detect GPT-3 content?",{"id":110,"by":111,"text":112},"23984397","xiphias2","I wouldn't be surprised if the result of the next election in a country would be decided by a Transformer based deep neural network. The dictator in my country is already paying…",[114],{"value":115,"source":80,"evidence":116},"Access to GPT-3 to try it",[117],{"id":118,"by":119,"text":120},"23986252","air7","I'd like to do that to. Any ideas on how to get access to it to play around?",[122,129],{"value":123,"source":80,"evidence":124},"Whether the A\u002FB test used retraining of the model",[125],{"id":126,"by":127,"text":128},"23985923","mindhash","This is a cool application. Did you have to retrain the model for this usecase? Sorry, I m not up to date if open ai has released model apart from API",{"value":130,"source":80,"evidence":131},"Whether GPT-3 was trained on non-English data",[132],{"id":133,"by":134,"text":135},"23985721","haolez","Was GPT-3 trained with data from other languages besides English?",[137,141],{"value":138,"source":80,"evidence":139},"Lorem ipsum placeholder text",[140],{"id":87,"by":88,"text":89},{"value":142,"source":80,"evidence":143},"Wix and Webflow site builders",[144],{"id":145,"by":146,"text":147},"23984891","nutanc","It will work for this use case. In any case, most probably a human will select from a bunch of generated texts. Whether the texts are generated by a copywriter or GPT-3 will be…",{"comments":149,"answered":44,"key":150},10,[151,152,155],{"id":53,"text":54},{"id":153,"text":154},"23987698","Well, it's a win-win.",{"id":156,"text":157},"23984425","Actually GPT-3 detectors can be built https:\u002F\u002Fwww.technologyreview.com\u002F2019\u002F03\u002F12\u002F136668\u002Fan-ai-for-generating-fake-news-could-also-help-detect-it\u002F But it'll detect human written…",{"commenters":159,"max_depth":45,"maker_replies":149,"first_comment_mins":160,"lifespan_hours":161},57,13,39,[163,165,169,173,175,177,178,181,184,187,190,193,196,198,201,204,207,210,212,214,216,219,222,224,226,229,232,234,237,242,244,247,250,253,257,260,263,266,271,274,276,278,280,283,286,288,290,293,297,299,302,306,309,312,315,316,317,320,323,326,328,331,333,336,339,343,346,349,350,352,354,357,359,362,364,368,372,376],[53,33,33,164,11,39],"maker\u002Fpositive\u002Fidea",[166,33,33,167,168,33],"24003124","commenter\u002Fneutral\u002Fnone","gpt3",[170,39,44,171,172,33],"23987051","project\u002Fneutral\u002Fidea","iandanforth",[153,39,33,174,11,39],"maker\u002Fneutral\u002Fnone",[106,41,33,176,107,33],"other\u002Fneutral\u002Fnone",[156,41,33,167,11,39],[179,41,33,167,180,33],"23984510","pgt",[182,41,33,167,183,33],"23984812","messe",[185,41,33,167,186,33],"23985639","dcbadacd",[188,41,33,176,189,33],"23985178","rorykoehler",[191,41,33,176,192,33],"23985497","Anirudh_Singh",[194,44,33,176,195,33],"23987271","flr03",[99,34,44,197,100,33],"project\u002Fneutral\u002Fexecution",[199,34,33,167,200,33],"23985463","Ologn",[202,34,33,167,203,33],"23985707","Filligree",[205,34,33,167,206,33],"23988235","probably_wrong",[208,34,33,176,209,33],"23985573","scoopertrooper",[211,34,33,197,11,39],"23985820",[118,34,44,213,119,33],"project\u002Fneutral\u002Fnone",[215,34,44,213,127,33],"23985878",[217,34,44,197,218,33],"23987042","minimaxir",[220,34,44,213,221,33],"23987102","jcims",[223,34,33,167,100,33],"23993503",[225,34,33,167,221,33],"24003146",[227,45,39,228,92,33],"23984883","project\u002Fcritical\u002Fdesign",[230,45,33,231,11,39],"23985511","maker\u002Fneutral\u002Fdesign",[91,45,45,233,92,33],"project\u002Fpositive\u002Fdesign",[235,45,33,236,11,39],"23986142","project\u002Fpositive\u002Fperformance",[238,239,39,240,241,33],"23984879",6,"project\u002Fcritical\u002Fexecution","GrantZvolsky",[243,239,33,167,92,33],"23984896",[245,239,33,167,246,33],"23984992","bawolff",[248,239,33,167,249,33],"23985030","ACow_Adonis",[251,239,33,176,252,33],"23985044","guscost",[254,239,39,255,256,33],"23987414","project\u002Fcritical\u002Fnone","QuesnayJr",[258,239,39,255,259,33],"23987016","asginionionio",[261,239,33,176,262,33],"24001872","UnFleshedOne",[264,239,33,167,265,33],"23988207","PanMan",[267,268,33,269,270,33],"23984592",7,"other\u002Fneutral\u002Fidea","Guillaume86",[272,268,33,269,273,33],"23984775","toxicFork",[275,268,33,176,209,33],"23985579",[277,268,33,176,273,33],"23985634",[279,268,33,176,273,33],"23985636",[281,31,33,269,282,33],"23985080","TrackerFF",[284,31,33,167,285,33],"23985101","edameme",[287,31,33,176,11,39],"23985185",[289,31,33,176,282,33],"23985224",[291,31,33,176,292,33],"23985438","quickthrower2",[294,295,44,197,296,33],"23985658",9,"blackbear_",[298,295,33,167,11,39],"23985668",[300,149,44,213,301,33],"23984369","opsiprogram",[303,149,45,304,305,33],"23984430","project\u002Fpositive\u002Fidea","lordnacho",[307,149,45,304,308,33],"23984442","solidasparagus",[310,149,33,311,11,39],"23984448","project\u002Fpositive\u002Fexecution",[313,149,44,213,314,33],"23984465","macrolime",[145,149,45,304,146,33],[110,32,33,176,111,33],[318,32,33,167,319,33],"23984715","shadeslayer_",[321,32,33,176,322,33],"23984790","082349872349872",[324,32,33,176,325,33],"23985083","tonyg",[327,32,33,176,189,33],"23985201",[329,32,33,176,330,33],"23985408","delaaxe",[332,32,33,176,314,33],"23986215",[334,32,33,176,335,33],"23986045","stjo",[337,32,33,176,338,33],"23986998","contravariant",[340,341,33,176,342,33],"23986311",12,"Dolores12",[344,341,33,176,345,33],"23986475","joshspankit",[347,341,33,176,348,33],"23992212","XCSme",[83,160,45,233,84,33],[126,351,44,197,127,33],14,[87,353,45,304,88,33],15,[133,355,44,356,134,33],16,"project\u002Fneutral\u002Fperformance",[358,355,33,356,11,39],"23985853",[360,355,45,236,361,33],"23986018","squanch",[363,355,45,236,314,33],"23986248",[365,366,33,269,367,33],"23986804",17,"paulus_magnus2",[369,370,33,167,371,33],"23984399",18,"fabiandesimone",[373,370,33,374,375,33],"23985464","commenter\u002Fcritical\u002Fnone","ttz",[377,370,33,167,378,33],"23985649","tomhoward",[],[381,386,390,395,400,404],{"id":382,"name":383,"points":384,"category":385},"23927380","TinyPilot",756,"infrastructure",{"id":387,"name":388,"points":389,"category":20},"23965787","vo.codes",462,{"id":391,"name":392,"points":393,"category":394},"23985825","Pluvoir",393,"creative",{"id":396,"name":397,"points":398,"category":399},"23948672","Felicette",303,"dev_tools",{"id":401,"name":402,"points":403,"category":385},"23948234","Textdb.dev",200,{"id":405,"name":406,"points":407,"category":399},"23965295","UnnaturalScrollWheels",176,false,"v2",{"id":411,"name":5,"line":6,"ai":408,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":412,"top":18,"kw":413,"maker":11,"domain":10,"tier":19,"attempts":33,"strip":414,"url":9,"mix":415,"praise":79,"objection":96,"sub":21},23984071,0.12,[24,25,26,27],"0300003003331510010000003353500000553500",[31,32,33,34],1794036594004]