[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"sanity-8diXOTxq1pi0h_-ylSTQjqCHAFBpc37q7Os_Td7j9CU":3,"sanity-StugmEQ1maWN7F8mtYAEHbS9N4UPU157Mkz_v3dLi-4":287},{"data":4,"sourceMap":-1},{"latestPodcast":5,"latestReleases":14,"post":39,"recent":262},[6],{"_id":7,"publishedAt":8,"slug":9,"sponsored":12,"title":13},"4d0175f4-40a8-47eb-9bb3-a453b326aa7d","2026-07-03T07:40:00.000Z",{"_type":10,"current":11},"slug","the-good-the-bad-and-the-ai-apps",null,"The good, the bad, and the AI apps",[15,21,27,33],{"_id":16,"publishedAt":17,"slug":18,"title":20},"eb5b66eb-9410-4329-83bb-22bbff39402a","2026-04-28T13:00:00.000Z",{"_type":10,"current":19},"turn-scattered-knowledge-into-trusted-intelligence","Turning scattered knowledge into trusted intelligence: Stack Internal 2026.3",{"_id":22,"publishedAt":23,"slug":24,"title":26},"369c2401-b62e-4a37-8ff8-bf603023ecad","2026-03-02T15:03:00.988Z",{"_type":10,"current":25},"what-s-new-at-stack-overflow-march-2026","What’s new at Stack Overflow: March 2026",{"_id":28,"publishedAt":29,"slug":30,"title":32},"5e9053a4-07ea-447c-91ea-29e0b6228537","2026-02-02T15:00:00.000Z",{"_type":10,"current":31},"what-s-new-at-stack-overflow-february-2026","What’s new at Stack Overflow: February 2026",{"_id":34,"publishedAt":35,"slug":36,"title":38},"a1b538eb-a8a6-46d0-80a1-ac70ec9bb935","2026-01-05T10:00:00.000-05:00",{"_type":10,"current":37},"what-s-new-at-stack-overflow-january-2026","What’s new at Stack Overflow: January 2026",{"_createdAt":40,"_id":41,"_rev":42,"_type":43,"_updatedAt":44,"author":45,"body":62,"comments":218,"dateUrl":219,"excerpt":220,"image":221,"legacyBody":224,"product":12,"publishedAt":227,"slug":228,"sponsored":12,"tags":230,"title":261,"visible":218},"2023-06-20T15:13:33Z","wp-post-22253","XzVcPPDfPNmxxXS3zvEpp9","blogPost","2025-10-31T17:27:07Z",[46],{"_createdAt":47,"_id":48,"_rev":49,"_type":50,"_updatedAt":51,"avatar":52,"employee":57,"name":58,"role":59,"slug":60},"2023-05-23T16:27:18Z","wp-author-295","3Bta4LYddh6s1g3ALChVvb","blogAuthor","2025-05-09T17:21:54Z",{"_type":53,"asset":54},"image",{"_ref":55,"_type":56},"image-d670f8093b43e483a52ba692d929578633f70eb5-1024x1024-jpg","reference","current","Eira May","B2B Editor",{"current":61},"emay",[63,67,78,87,136,151,166,207],{"_key":64,"_type":65,"markDefs":12,"url":66},"64d2aa377e42","embed","https:\u002F\u002Fart19.com\u002Fshows\u002F2355b740-4531-4071-a3ab-5907a95a36d3\u002Fepisodes\u002F9b9d14cb-2495-4ca6-a294-392f61e86dfe",{"_key":68,"_type":69,"children":70,"markDefs":76,"style":77},"ff6577ef4bbc","block",[71],{"_key":72,"_type":73,"marks":74,"text":75},"ff6577ef4bbc0","span",[],"Ben and Ryan talk with Jonathan Frankle and Abhinav Venigalla of MosaicML, a startup trying to make artificial intelligence efficient and accessible for everyone by lowering the cost, time, and complexity it takes to train a powerful AI model.",[],"normal",{"_key":79,"_type":69,"children":80,"markDefs":86,"style":77},"2d80ebdafe9b",[81],{"_key":82,"_type":73,"marks":83,"text":85},"2d80ebdafe9b0",[84],"strong","Episode notes:",[],{"_key":88,"_type":69,"children":89,"markDefs":126,"style":77},"3d5ce7fb7218",[90,95,99,104,108,113,117,122],{"_key":91,"_type":73,"marks":92,"text":94},"3d5ce7fb72180",[93],"bf1ee104d0f7","MosaicML",{"_key":96,"_type":73,"marks":97,"text":98},"3d5ce7fb72181",[]," is a platform for training and deploying large AI models at scale. Explore their ",{"_key":100,"_type":73,"marks":101,"text":103},"3d5ce7fb72182",[102],"64185bc46b86","docs",{"_key":105,"_type":73,"marks":106,"text":107},"3d5ce7fb72183",[],", check out their ",{"_key":109,"_type":73,"marks":110,"text":112},"3d5ce7fb72184",[111],"02d16ec42ae5","blog",{"_key":114,"_type":73,"marks":115,"text":116},"3d5ce7fb72185",[],", and keep an eye on their ",{"_key":118,"_type":73,"marks":119,"text":121},"3d5ce7fb72186",[120],"9d642fbe21c2","open roles",{"_key":123,"_type":73,"marks":124,"text":125},"3d5ce7fb72187",[],".",[127,130,132,134],{"_key":93,"_type":128,"href":129,"reference":12},"link","https:\u002F\u002Fwww.mosaicml.com\u002F",{"_key":102,"_type":128,"href":131,"reference":12},"https:\u002F\u002Fdocs.mosaicml.com\u002Fen\u002Flatest\u002F",{"_key":111,"_type":128,"href":133,"reference":12},"https:\u002F\u002Fwww.mosaicml.com\u002Fblog",{"_key":120,"_type":128,"href":135,"reference":12},"https:\u002F\u002Fwww.mosaicml.com\u002Fcareers",{"_key":137,"_type":69,"children":138,"markDefs":148,"style":77},"1dc801f4fbd0",[139,144],{"_key":140,"_type":73,"marks":141,"text":143},"1dc801f4fbd00",[142],"aea66c8edc11","Jonathan Frankle",{"_key":145,"_type":73,"marks":146,"text":147},"1dc801f4fbd01",[]," is the Chief Scientist at MosaicML and an incoming Assistant Professor of Computer Science at Harvard.",[149],{"_key":142,"_type":128,"href":150,"reference":12},"http:\u002F\u002Fwww.jfrankle.com\u002F",{"_key":152,"_type":69,"children":153,"markDefs":163,"style":77},"616f3c50cf2c",[154,159],{"_key":155,"_type":73,"marks":156,"text":158},"616f3c50cf2c0",[157],"57f72d9e917e","Abhinav Venigalla",{"_key":160,"_type":73,"marks":161,"text":162},"616f3c50cf2c1",[]," is the NLP Architect at MosaicML.",[164],{"_key":157,"_type":128,"href":165,"reference":12},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Favenigalla\u002F",{"_key":167,"_type":69,"children":168,"markDefs":200,"style":77},"0e769f932284",[169,173,178,182,187,191,196],{"_key":170,"_type":73,"marks":171,"text":172},"0e769f9322840",[],"Today’s ",{"_key":174,"_type":73,"marks":175,"text":177},"0e769f9322841",[176],"9faf52c52d68","Lifeboat badge",{"_key":179,"_type":73,"marks":180,"text":181},"0e769f9322842",[]," winner is ",{"_key":183,"_type":73,"marks":184,"text":186},"0e769f9322843",[185],"535ceac94402","singmotor",{"_key":188,"_type":73,"marks":189,"text":190},"0e769f9322844",[]," for rescuing ",{"_key":192,"_type":73,"marks":193,"text":195},"0e769f9322845",[194],"3404f82bbd0e","How to remove columns with too many missing values in Python",{"_key":197,"_type":73,"marks":198,"text":199},"0e769f9322846",[]," from the dustbin of history.",[201,203,205],{"_key":176,"_type":128,"href":202,"reference":12},"https:\u002F\u002Fstackoverflow.com\u002Fhelp\u002Fbadges\u002F8842\u002Flifeboat",{"_key":185,"_type":128,"href":204,"reference":12},"https:\u002F\u002Fstackoverflow.com\u002Fusers\u002F2278676\u002Fsingmotor",{"_key":194,"_type":128,"href":206,"reference":12},"https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F45515031\u002Fhow-to-remove-columns-with-too-many-missing-values-in-python#:~:text=You%20can%20use%20Pandas'%20dropna().",{"_key":208,"_type":69,"children":209,"markDefs":215,"style":77},"0743eab67760",[210],{"_key":211,"_type":73,"marks":212,"text":214},"0743eab677600",[213],"309618d1a3e9","TRANSCRIPT",[216],{"_key":213,"_type":128,"href":217,"reference":12},"https:\u002F\u002Fthe-stack-overflow-podcast.simplecast.com\u002Fepisodes\u002Fmosaicml-deep-learning-models-for-sale-all-shapes-and-sizes\u002Ftranscript",true,"2023\u002F06\u002F06","Ben and Ryan talk with Jonathan Frankle and Abhinav Venigalla of MosaicML, a startup trying to make deep learning and generative AI efficient and accessible for everyone.",{"_type":53,"asset":222},{"_ref":223,"_type":56},"image-472725c034235a56301dc8caf0ed41b3d298c57a-1200x630-png",{"code":225,"language":226},"\u003C!-- wp:html -->\n\u003Ciframe height=\"200px\" width=\"100%\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https:\u002F\u002Fplayer.simplecast.com\u002Fb3937af0-c0a3-4434-b39c-e1f5da9fc0e0?dark=false\">\u003C\u002Fiframe>\n\u003C!-- \u002Fwp:html -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>Ben and Ryan talk with Jonathan Frankle and Abhinav Venigalla of MosaicML, a startup trying to make artificial intelligence efficient and accessible for everyone by lowering the cost, time, and complexity it takes to train a powerful AI model.\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>\u003Cstrong>Episode notes:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mosaicml.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">MosaicML\u003C\u002Fa> is a platform for training and deploying large AI models at scale. Explore their \u003Ca href=\"https:\u002F\u002Fdocs.mosaicml.com\u002Fen\u002Flatest\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">docs\u003C\u002Fa>, check out their \u003Ca href=\"https:\u002F\u002Fwww.mosaicml.com\u002Fblog\" target=\"_blank\" rel=\"noreferrer noopener\">blog\u003C\u002Fa>, and keep an eye on their \u003Ca href=\"https:\u002F\u002Fwww.mosaicml.com\u002Fcareers\" target=\"_blank\" rel=\"noreferrer noopener\">open roles\u003C\u002Fa>.\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>\u003Ca href=\"http:\u002F\u002Fwww.jfrankle.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Jonathan Frankle\u003C\u002Fa> is the Chief Scientist at MosaicML and an incoming Assistant Professor of Computer Science at Harvard.\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Favenigalla\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Abhinav Venigalla\u003C\u002Fa> is the NLP Architect at MosaicML.\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>Today’s \u003Ca href=\"https:\u002F\u002Fstackoverflow.com\u002Fhelp\u002Fbadges\u002F8842\u002Flifeboat\" target=\"_blank\" rel=\"noreferrer noopener\">Lifeboat badge\u003C\u002Fa> winner is \u003Ca href=\"https:\u002F\u002Fstackoverflow.com\u002Fusers\u002F2278676\u002Fsingmotor\" target=\"_blank\" rel=\"noreferrer noopener\">singmotor\u003C\u002Fa> for rescuing \u003Ca href=\"https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002F45515031\u002Fhow-to-remove-columns-with-too-many-missing-values-in-python#:~:text=You%20can%20use%20Pandas'%20dropna().\" target=\"_blank\" rel=\"noreferrer noopener\">How to remove columns with too many missing values in Python\u003C\u002Fa> from the dustbin of history.\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fthe-stack-overflow-podcast.simplecast.com\u002Fepisodes\u002Fmosaicml-deep-learning-models-for-sale-all-shapes-and-sizes\u002Ftranscript\" target=\"_blank\" rel=\"noreferrer noopener\">TRANSCRIPT\u003C\u002Fa>\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->","html","2023-06-06T04:40:00.000Z",{"current":229},"mosaicml-deep-learning-models-for-sale-all-shapes-and-sizes-ep-577",[231,240,246,251,256],{"_createdAt":232,"_id":233,"_rev":234,"_type":235,"_updatedAt":236,"slug":237,"title":239},"2023-05-23T16:43:21Z","wp-tagcat-ai","fpDTFQqIDjNJIbHDKPBGpV","blogTag","2025-01-30T16:19:01Z",{"current":238},"ai","AI",{"_createdAt":232,"_id":241,"_rev":242,"_type":235,"_updatedAt":232,"slug":243,"title":245},"wp-tagcat-machine-learning","9HpbCsT2tq0xwozQfkc4ih",{"current":244},"machine-learning","machine learning",{"_createdAt":232,"_id":247,"_rev":242,"_type":235,"_updatedAt":232,"slug":248,"title":250},"wp-tagcat-ml",{"current":249},"ml","ML",{"_createdAt":232,"_id":252,"_rev":242,"_type":235,"_updatedAt":232,"slug":253,"title":255},"wp-tagcat-the-stack-overflow-podcast",{"current":254},"the-stack-overflow-podcast","the stack overflow podcast",{"_createdAt":232,"_id":257,"_rev":242,"_type":235,"_updatedAt":232,"slug":258,"title":260},"wp-tagcat-podcast",{"current":259},"podcast","The Stack Overflow Podcast","MosaicML: Deep learning models for sale, all shapes and sizes (Ep. 577)",[263,269,275,281],{"_id":264,"publishedAt":265,"slug":266,"sponsored":12,"title":268},"28e560af-f0aa-4d46-bd90-f435ad604aa7","2026-06-26T14:00:27.102Z",{"_type":10,"current":267},"paging-charity-how-can-engineering-leaders-avoid-becoming-bond-villains","Paging Charity! How can engineering leaders avoid becoming Bond villains?",{"_id":270,"publishedAt":271,"slug":272,"sponsored":12,"title":274},"4b22c2a3-3779-4966-93eb-5230391dbdce","2026-06-23T14:08:58.595Z",{"_type":10,"current":273},"your-ai-shipped-a-backend-that-boots-that-is-the-whole-problem","Your AI shipped a backend that boots. That is the whole problem.",{"_id":276,"publishedAt":277,"slug":278,"sponsored":12,"title":280},"5cf362e1-fe7b-45af-b69c-914731c6a052","2026-06-23T14:00:00.000Z",{"_type":10,"current":279},"the-2026-developer-survey-is-now-open-for-human-developers-only","The 2026 Developer Survey is now open (for human developers only)!",{"_id":282,"publishedAt":283,"slug":284,"sponsored":12,"title":286},"30b995f7-7cb9-4dd8-bf71-d0685940a32b","2026-06-19T14:00:00.000Z",{"_type":10,"current":285},"dispatches-from-o-reilly-from-capabilities-to-responsibilities","Dispatches from O'Reilly: From capabilities to responsibilities",{"data":288,"sourceMap":-1},{"count":289,"lastTimestamp":12},0]