[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-gpt-5-5-just-solved-its-first-real-programbench-task-and-left-claude-opus-4-7-in-the-dust":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":94,"popular_news":152,"categories":223},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":73,"text":75,"slug":76,"created_at":77,"publish_at":78,"formatted_created_at":79,"category_id":46,"links":80,"view_type":85,"video_url":86,"views":34,"likes":87,"lang":88,"comments_count":87,"category":89},"GPT-5.5 Just Solved Its First Real ProgramBench Task — And Left Claude Opus 4.7 in the Dust","ProgramBench just gave us the clearest signal yet that the frontier has moved again, and it moved hard.","GPT 5.5 (xhigh) is significantly better than Claude Opus 4.7 (xhigh) across all metrics","\u003Cp>On May 12, 2026, the ProgramBench team dropped a small but very spicy update: they finally ran \u003Cstrong>GPT-5.5\u003C/strong> (and Claude Opus 4.7 for good measure) on their toughest settings — \u003Cstrong>high\u003C/strong>** and \u003Cstrong>xhigh\u003C/strong> (maximum reasoning budget and exploration time).\u003C/p>\n\n\u003Cp>\u003Cstrong>The result? One clean, unambiguous headline from the authors:\u003C/strong>\u003C/p>\n\n\u003Cp>\u003Cem>“GPT 5.5 (xhigh) is significantly better than Claude Opus 4.7 (xhigh) across all metrics.”\u003C/em>\u003C/p>\n\n\u003Cp>And they’re not exaggerating.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The First Full Solve Out of 200 Tasks\u003C/strong>\u003C/h4>\n\n\u003Cp>ProgramBench is one of the hardest coding benchmarks out there: 200 real-world programs (from tiny CLI tools to monsters like SQLite and FFmpeg). You’re given only the compiled binary and documentation — no source code, no internet, no decompilation. The model has to rebuild the entire thing from scratch so that it passes hidden behavioral tests.\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/photo_2026-05-13_17-17-13.webp\" type=\"image/webp\">\u003Cimg  alt=\"GPT-5.5 Just Solved Its First Real ProgramBench Task — And Left Claude Opus 4.7 in the Dust\" class=\"image-align-center\" height=\"234\" src=\"https://cdn.quasa.io/photos/0001/photo_2026-05-13_17-17-13.jpg\" width=\"300\" />\u003C/picture>\u003C/p>\n\n\u003Cp>Until yesterday, \u003Cstrong>zero\u003C/strong> models had fully solved any task at the highest difficulty.\u003C/p>\n\n\u003Cp>Now there is one.\u003C/p>\n\n\u003Cp>Task: \u003Cstrong>cmatrix\u003C/strong> (a terminal-based “The Matrix” rain effect).\u003Cbr />\nGPT-5.5 solved it \u003Cstrong>twice\u003C/strong>:\u003Cbr />\n- GPT-5.5 (high) → clean C implementation using raw ANSI escape sequences\u003Cbr />\n- GPT-5.5 (xhigh) → self-contained Python 3 version\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/photo_2026-05-13_17-17-15.webp\" type=\"image/webp\">\u003Cimg  alt=\"GPT-5.5 Just Solved Its First Real ProgramBench Task — And Left Claude Opus 4.7 in the Dust\" class=\"image-align-center\" height=\"302\" src=\"https://cdn.quasa.io/photos/0001/photo_2026-05-13_17-17-15.jpg\" width=\"350\" />\u003C/picture>\u003C/p>\n\n\u003Cp>Both runs passed 100% of the behavioral tests.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Real Gap Shows Up at “Almost Solved”\u003C/strong>\u003C/h4>\n\n\u003Cp>Even more impressive is the 95%+ pass rate category (i.e. the model got almost everything right, missing only tiny edge cases):\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/2026-05-13_17-23-39.webp\" type=\"image/webp\">\u003Cimg alt=\"GPT-5.5 Just Solved Its First Real ProgramBench Task — And Left Claude Opus 4.7 in the Dust\" height=\"95\" src=\"https://cdn.quasa.io/photos/0001/2026-05-13_17-23-39.png\" width=\"400\" />\u003C/picture>\u003C/p>\n\n\u003Cp>That’s not a small lead. That’s GPT-5.5 xhigh doing \u003Cstrong>three times\u003C/strong> more useful work than the previous frontier model.\u003C/p>\n\n\u003Cp>The cumulative histogram on ProgramBench tells the story even better: the GPT-5.5 xhigh curve sits noticeably to the right and above everything else. It doesn’t just solve more tasks — it solves \u003Cstrong>more of each task\u003C/strong>.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>What This Actually Means\u003C/strong>\u003C/h4>\n\n\u003Cp>We’re still not seeing the models in full agent mode (Codex-style editing loops, Claude Code, or the equivalent of a \u003Cstrong>`/goal`\u003C/strong> cycle with multiple iterations and self-correction). The authors themselves note that higher reasoning budgets already make a massive difference, and proper agent scaffolding will push the numbers even higher.\u003C/p>\n\n\u003Cp>Translation: the raw intelligence is already there. The scaffolding just needs to catch up.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/xenopsychologists-at-anthropic-are-re-educating-difficult-ai-teenagers-and-their-new-study-just-proved-why-it-actually-works\">Xenopsychologists at Anthropic Are Re-Educating Difficult AI “Teenagers” – And Their New Study Just Proved Why It Actually Works\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/how-to-become-a-trillionaire-thanks-to-a-massive-blunder-from-20-years-ago\">How to Become a Trillionaire Thanks to a Massive Blunder from 20 Years Ago\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/zyphra-releases-zaya1-8b-a-sub-1b-active-parameter-moe-model-that-outperforms-much-larger-rivals\">Zyphra Releases ZAYA1-8B: A Sub-1B Active Parameter MoE Model That Outperforms Much Larger Rivals\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/apple-to-open-apple-intelligence-to-google-and-anthropic-models-in-ios-27\">Apple to Open Apple Intelligence to Google and Anthropic Models in iOS 27\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Bigger Picture\u003C/strong>\u003C/h4>\n\n\u003Cp>By the end of 2026 we’re very likely going to see the first practical coding agents that can take a vague prompt and reliably output \u003Cstrong>tens of thousands of lines\u003C/strong> of working code — not perfect, but 95% there, which for many real-world use cases is already game-changing.\u003C/p>\n\n\u003Cp>ProgramBench just gave us the clearest signal yet that the frontier has moved again, and it moved hard.\u003C/p>\n\n\u003Cp>The age of “AI that can actually ship real software” isn’t coming.  \u003Cbr />\nIt’s already knocking on the door.\u003C/p>\n\n\u003Cp>Check the full update here:  \u003Cbr />\n\u003Ca href=\"https://programbench.com/blog/gpt-5-5-first-solve/\">GPT 5.5 high Solves First Instance!\u003C/a>\u003C/p>\n\n\u003Cp>And the specific task that just got crushed:  \u003Cbr />\n\u003Ca href=\"https://programbench.com/task/abishekvashok__cmatrix.5c082c6/\">cmatrix on ProgramBench\u003C/a>\u003C/p>\n\n\u003Cp>Buckle up. The code generation winter is officially over.\u003C/p>","gpt-5-5-just-solved-its-first-real-programbench-task-and-left-claude-opus-4-7-in-the-dust","2026-05-13T15:33:44.000000Z","2026-05-22T06:33:00.000000Z","22.05.2026",{"image":81,"image_webp":82,"thumb":83,"thumb_webp":84},"https://cdn.quasa.io/images/news/ZZyKT9536wWtRbUPEdCp5HtSVZBulFLjaGBQSpXM.jpg","https://cdn.quasa.io/images/news/ZZyKT9536wWtRbUPEdCp5HtSVZBulFLjaGBQSpXM.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/ZZyKT9536wWtRbUPEdCp5HtSVZBulFLjaGBQSpXM.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/ZZyKT9536wWtRbUPEdCp5HtSVZBulFLjaGBQSpXM.webp","small",null,0,"en",{"id":46,"title":47,"slug":48,"meta_title":90,"meta_description":91,"meta_keywords":91,"deleted_at":86,"created_at":92,"updated_at":93,"lang":88},"Artificial Intelligence | AI Breakthroughs, Agents & Tools | QUASA","Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2026-04-22T14:56:34.000000Z",[95,109,112,125,139],{"title":96,"description":97,"slug":98,"created_at":99,"publish_at":100,"formatted_created_at":79,"category":101,"links":102,"view_type":85,"video_url":86,"views":107,"likes":87,"lang":88,"comments_count":87,"is_pinned":108},"Why Letting AI Manage Your Portfolio Might Be a Terrible Idea (Even Though 30% of Retail Investors Are Already Doing It)","According to a recent eToro survey, roughly 30% of retail traders now use AI tools to help manage their portfolios.","why-letting-ai-manage-your-portfolio-might-be-a-terrible-idea-even-though-30-of-retail-investors-are-already-doing-it","2026-05-13T16:01:53.000000Z","2026-05-22T09:01:00.000000Z",{"title":31,"slug":32},{"image":103,"image_webp":104,"thumb":105,"thumb_webp":106},"https://cdn.quasa.io/images/news/Avsh8SVeMOzYQnun3PSatS7PCCGATNBYz5ZYYa5J.jpg","https://cdn.quasa.io/images/news/Avsh8SVeMOzYQnun3PSatS7PCCGATNBYz5ZYYa5J.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Avsh8SVeMOzYQnun3PSatS7PCCGATNBYz5ZYYa5J.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Avsh8SVeMOzYQnun3PSatS7PCCGATNBYz5ZYYa5J.webp",6,false,{"title":72,"description":73,"slug":76,"created_at":77,"publish_at":78,"formatted_created_at":79,"category":110,"links":111,"view_type":85,"video_url":86,"views":34,"likes":87,"lang":88,"comments_count":87,"is_pinned":108},{"title":47,"slug":48},{"image":81,"image_webp":82,"thumb":83,"thumb_webp":84},{"title":113,"description":114,"slug":115,"created_at":116,"publish_at":117,"formatted_created_at":79,"category":118,"links":119,"view_type":85,"video_url":86,"views":124,"likes":87,"lang":88,"comments_count":87,"is_pinned":108},"Texas vs. Netflix: The High-Stakes Battle Over Your Bedtime (and Your Data)","Texas is essentially arguing that a company’s right to keep you engaged shouldn't override a citizen's right to sleep and a parent's right to regulate their home.","texas-vs-netflix-the-high-stakes-battle-over-your-bedtime-and-your-data","2026-05-13T20:17:00.000000Z","2026-05-22T03:16:00.000000Z",{"title":43,"slug":44},{"image":120,"image_webp":121,"thumb":122,"thumb_webp":123},"https://cdn.quasa.io/images/news/TR021cPHkK4HKM0oDXdDHpPwo5wwWAmJhPisE7FT.jpg","https://cdn.quasa.io/images/news/TR021cPHkK4HKM0oDXdDHpPwo5wwWAmJhPisE7FT.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/TR021cPHkK4HKM0oDXdDHpPwo5wwWAmJhPisE7FT.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/TR021cPHkK4HKM0oDXdDHpPwo5wwWAmJhPisE7FT.webp",38,{"title":126,"description":127,"slug":128,"created_at":129,"publish_at":130,"formatted_created_at":131,"category":132,"links":133,"view_type":85,"video_url":86,"views":138,"likes":87,"lang":88,"comments_count":87,"is_pinned":108},"Xenopsychologists at Anthropic Are Re-Educating Difficult AI “Teenagers” – And Their New Study Just Proved Why It Actually Works","We’ve moved past the era where “just add more RLHF” was enough. 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Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-05-18T19:10:00.000000Z","18.05.2026",{"title":19,"slug":20},{"image":203,"image_webp":204,"thumb":205,"thumb_webp":206},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",46105,1,{"title":210,"description":211,"slug":212,"created_at":213,"publish_at":214,"formatted_created_at":215,"category":216,"links":217,"view_type":179,"video_url":86,"views":222,"likes":165,"lang":88,"comments_count":87,"is_pinned":108},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":218,"image_webp":219,"thumb":220,"thumb_webp":221},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",44936,[224,225,226,227,228,229,230,231,232,233,234,235,236],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]