[{"data":1,"prerenderedAt":347},["ShallowReactive",2],{"project-38194586":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":44,"post_text":46,"what":47,"said":78,"maker_in_thread":156,"shape":161,"grid":165,"attempts":310,"same_week":311,"maker_shows":39,"maker_hidden":339,"reader_version":340,"card":341},"38194586","Bulletpapers","ArXiv AI paper summarizer, won Anthropic Hackathon","title","Show HN: Bulletpapers – ArXiv AI paper summarizer, won Anthropic Hackathon","https:\u002F\u002Fwww.bulletpapers.ai","bulletpapers.ai","mattfalconer",1699467611,2023,178,53,327,3109,11,"notable","ai","paper summarizer","web_app",[24,25,26,27],"arxiv summarizer","ai paper summary","llm research papers","claude summarization","mixed",-0.116,{"positive":31,"neutral":32,"mixed":33,"critical":34},3,12,2,8,25,{"execution":37,"idea":40,"design":42,"performance":43},{"positive":38,"critical":39},0,1,{"positive":39,"critical":41},4,{"positive":33,"critical":39},{"positive":38,"critical":33},[38,38,38,38,38,38,38,38,38,39,38,38,38,38,38,39,39,38,31,39,38,45,31,31,31,38,38,39,31,38,45,45,31,31,39,31,31,39,38,39],5,null,{"problem":48,"audience":46,"pricing":46,"motivation":46,"time_to_build":55,"stack":61,"openness":76,"stage":77,"team_size":76},{"value":49,"source":50,"evidence":51},"Hard-to-read research papers; LLMs struggle with whole papers in context","maker",[52],{"id":53,"by":11,"text":54},"38197001","That is what it tries to do, the title, bulletpoints, summary and 'FAQs' try to simplify the paper, but LLMs are hard to tame when given an entire paper in the context window.",{"value":56,"source":50,"evidence":57},"Built in 24 hours during a hackathon",[58],{"id":59,"by":11,"text":60},"38196608","Agreed. It was built in 24 hours, and not as perfect as we'd like, but it does actually take the entire paper as context - the models aren't there yet, but we're going to keep…",[62,70],{"value":63,"source":64,"evidence":65},"Claude (Anthropic model) per a commenter's guess","commenter",[66],{"id":67,"by":68,"text":69},"38199419","jasonjmcghee","Anthropic hackathon, assuming they used Claude. Also dramatically larger context window, until this week.",{"value":71,"source":50,"evidence":72},"SDXL for cover image generation",[73],{"id":74,"by":11,"text":75},"38200247","The model generates a prompt that's sent to SDXL, but it’s “seeded” with some randomness, we have an array of adjectives & colours that we input to try to make the output…","unknown","launched",{"praise":79,"objections":91,"requests":110,"questions":129,"alternatives":141},[80],{"value":81,"source":64,"evidence":82},"Polished, intentional interface",[83,87],{"id":84,"by":85,"text":86},"38218673","crmass","Was the entire frontend built during the hackathon? It's incredibly polished! What did you use?",{"id":88,"by":89,"text":90},"38201716","j2718h","It also appears like the filter dropdown in the bottom right corner needs additional space from the bottom of the screen (right now, the dropdown is cut off by the page…",[92,103],{"value":93,"source":64,"evidence":94},"Summaries seem generated from abstracts, not full papers, and can be inaccurate",[95,99],{"id":96,"by":97,"text":98},"38196499","therobot24","not crazy with some of the results, e.g., https:\u002F\u002Fwww.bulletpapers.ai\u002Fpaper\u002F1d002187-927d-6775-94e2-a41907d2f89d - Bulletpapers title: Using robots to map and digitize…",{"id":100,"by":101,"text":102},"38202541","frontalier","All of it is hallucinated, some times it happens to be accurate, some other times it is not.",{"value":104,"source":64,"evidence":105},"Site was down for some users",[106],{"id":107,"by":108,"text":109},"38197183","MiSeRyDeee","The site is down for me.",[111,122],{"value":112,"source":64,"evidence":113},"Personalized summaries for reader's knowledge level",[114,118],{"id":115,"by":116,"text":117},"38198570","kristopolous","The real silver bullet would be not to summarize for a general layperson but somehow, personally, for the context of \"me\", whoever that is. For instance, the amount of…",{"id":119,"by":120,"text":121},"38199735","hhh","I don’t think it’s that much work, if you have a general sense of your knowledge domains. I described the platform I work on in a few sentences, my knowledge level, and what I…",{"value":123,"source":64,"evidence":124},"Newsletter of featured papers",[125],{"id":126,"by":127,"text":128},"38201784","highwayman47","You should make a weekly newsletter with a few: new \u002F featured \u002F hot papers",[130],{"value":131,"source":64,"evidence":132},"How does it work and what is the tech stack",[133,137],{"id":134,"by":135,"text":136},"38198519","Heidaradar","how exactly does this work? is it placing calling gpt-4 with a template you've created or is something more fancy happening? and if its using gpt-4, why would someone use your…",{"id":138,"by":139,"text":140},"38198748","benthecoder","what's the tech stack?",[142,149],{"value":143,"source":64,"evidence":144},"Papers With Code",[145],{"id":146,"by":147,"text":148},"38198910","vrtnis","Reminds me of the more ML specific https:\u002F\u002Fpaperswithcode.com\u002F",{"value":150,"source":64,"evidence":151},"findsight.ai",[152],{"id":153,"by":154,"text":155},"38197769","summarity","I built something similar for non fiction books and articles: https:\u002F\u002Ffindsight.ai. It’s nearing 10,000 users.",{"comments":41,"answered":38,"key":157},[158,159,160],{"id":53,"text":54},{"id":74,"text":75},{"id":59,"text":60},{"commenters":162,"max_depth":41,"maker_replies":41,"first_comment_mins":163,"lifespan_hours":164},40,130,78,[166,170,172,175,177,178,180,184,187,190,193,196,198,201,203,205,208,210,213,216,220,224,226,229,231,235,237,240,242,246,250,253,255,258,259,261,265,268,269,273,278,280,283,284,286,289,291,293,297,299,304,306,308],[167,38,38,168,169,38],"38196859","commenter\u002Fneutral\u002Fnone","loumf",[53,38,38,171,11,39],"maker\u002Fneutral\u002Fexecution",[173,38,38,168,174,38],"38197693","pclmulqdq",[115,38,38,176,116,38],"other\u002Fneutral\u002Fidea",[119,38,38,168,120,38],[179,38,38,176,116,38],"38199986",[181,38,38,182,183,38],"38199177","other\u002Fneutral\u002Fnone","SkyMarshal",[185,38,38,168,186,38],"38199713","redwood",[188,38,38,182,189,38],"38200598","godelski",[191,38,38,168,192,38],"38202430","diffeomorphism",[194,39,38,182,195,38],"38202446","renonce",[100,39,39,197,101,38],"project\u002Fcritical\u002Fexecution",[199,39,38,182,200,38],"38202815","TheOnly92",[202,39,38,182,195,38],"38203170",[204,39,38,182,189,38],"38209829",[206,39,38,182,207,38],"38229995","Obscurity4340",[209,39,38,182,189,38],"38209132",[211,39,38,182,212,38],"38212051","guyomes",[214,33,38,182,215,38],"38201367","jsemrau",[217,33,39,218,219,38],"38202212","project\u002Fcritical\u002Fidea","kylebenzle",[221,33,38,222,223,38],"38202743","commenter\u002Fneutral\u002Fidea","robbomacrae",[225,33,39,218,189,38],"38210241",[227,33,38,168,228,38],"38202822","hackideiomat",[230,33,38,182,189,38],"38210113",[232,31,31,233,234,38],"38200455","project\u002Fneutral\u002Fidea","imranq",[236,31,39,218,219,38],"38202224",[238,31,38,168,239,38],"38202279","Closi",[241,31,31,233,234,38],"38206758",[243,41,45,244,245,38],"38198283","project\u002Fpositive\u002Fidea","notfed",[247,45,31,248,249,38],"38196508","project\u002Fneutral\u002Fdesign","tmitchel2",[251,45,31,248,252,38],"38199934","satvikpendem",[74,45,38,254,11,39],"maker\u002Fneutral\u002Fdesign",[96,256,31,257,97,38],6,"project\u002Fmixed\u002Fexecution",[59,256,38,171,11,39],[153,260,38,182,154,38],7,[262,260,39,263,264,38],"38201144","project\u002Fcritical\u002Fperformance","johntiger1",[266,260,31,267,154,38],"38236056","project\u002Fneutral\u002Fperformance",[146,34,31,233,147,38],[270,271,38,176,272,38],"38200749",9,"xbmcuser",[274,275,31,276,277,38],"38197152",10,"project\u002Fneutral\u002Fexecution","Mumps",[84,18,45,279,85,38],"maker\u002Fpositive\u002Fdesign",[281,18,45,279,282,38],"38229647","Apfel",[134,32,31,233,135,38],[67,32,31,285,68,38],"project\u002Fneutral\u002Fnone",[287,32,38,182,288,38],"38200208","Tao3300",[290,32,39,218,264,38],"38201149",[126,292,31,233,127,38],13,[294,295,31,233,296,38],"38202398",14,"arinazari",[138,298,31,276,139,38],15,[300,301,39,302,303,38],"38198857",16,"project\u002Fcritical\u002Fdesign","thylacine222",[305,301,38,254,11,39],"38199311",[88,301,31,307,89,38],"project\u002Fmixed\u002Fdesign",[107,309,39,263,108,38],17,[],[312,317,321,326,330,335],{"id":313,"name":314,"points":315,"category":316},"38167363","Inshellisense",388,"dev_tools",{"id":318,"name":319,"points":320,"category":316},"38161452","Ladder",377,{"id":322,"name":323,"points":324,"category":325},"38155544","WireHub",312,"infrastructure",{"id":327,"name":328,"points":329,"category":316},"38152109","Sshx",242,{"id":331,"name":332,"points":333,"category":334},"38108044","DoltgreSQL",162,"data",{"id":336,"name":337,"points":338,"category":20},"38157524","LLaVaVision",154,false,"v2",{"id":342,"name":5,"line":6,"ai":339,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":343,"top":18,"kw":344,"maker":11,"domain":10,"tier":19,"attempts":38,"strip":345,"url":9,"mix":346,"praise":81,"objection":93,"sub":21},38194586,-0.12,[24,25,26,27],"0000000001000001103105333001305533133101",[31,32,33,34],1794036644428]