{"id":"01667e1e52f4","page":"/c/01667e1e52f4/","topic":"Improvement With Self-Refinement","publisher":"Meta","official":true,"platform":"X","publishedAt":"2026-07-07T20:14:29.000Z","model":"Muse Image","form":"benchmark-bars","metrics":{"views":10011,"likes":30,"reposts":2,"quotes":0,"replies":5,"saves":9},"readAt":"2026-10-12T21:30:08.589Z","chartsInPost":1,"score":28,"scoreWeights":{"views":0.4,"likes":0.3,"eng":0.15,"save":0.15},"quadrant":"quiet","ranks":{"score":{"industry":{"n":937,"of":1162},"company":{"n":30,"of":31}},"views":{"industry":{"n":816,"of":1162},"company":{"n":26,"of":31}},"likes":{"industry":{"n":952,"of":1162},"company":{"n":28,"of":31}},"eng":{"industry":{"n":987,"of":1162},"company":{"n":28,"of":31}},"save":{"industry":{"n":497,"of":1162},"company":{"n":13,"of":31}}},"percentiles":{"industry":{"views":0.29819277108433734,"likes":0.17771084337349397,"eng":0.15103270223752152,"save":0.5727194492254734},"company":{"views":0.1774193548387097,"likes":0.0967741935483871,"eng":0.11290322580645161,"save":0.5967741935483871}},"peers":{"industry":1162,"company":31,"companyName":"Meta"},"medians":{"industry":{"views":39945,"likes":289,"eng":0.007331788144862199,"save":0.0007642791742968587},"company":{"views":36361,"likes":191,"eng":0.008121046332706446,"save":0.0008518547200495625},"form":{"n":215,"views":44446,"eng":0.007500781331388686}},"ratios":{"vsCompanyViews":0.27532246087841367,"vsCompanyLikes":0.15706806282722513,"viewsPerFollower":0.011568542255051054,"viewsPerDay":103.15031261639702},"followers":865364,"reads":[{"at":"2026-10-12T21:13:24.119Z","views":10011,"likes":30,"reposts":2,"quotes":0,"replies":5,"saves":9,"source":"x-search-cache"}],"chartData":"/api/charts/01667e1e52f4.json","copy":{"en":{"why":[{"factor":"views-per-follower","text":"Its 0.012 views per follower sits at 0.06x the median across posts with known followers, a 5th percentile mark."},{"factor":"reach-vs-company","text":"The post's 10K views land at 0.28x Meta's 36.4K company median, ranking #26 of 31 Meta posts."},{"factor":"engagement","text":"Engagement of 0.37% is 0.50x the AI chart median of 0.73%, at the 15th percentile."}],"verdict":"The post sits in the Quiet quadrant, with a score rank of #937 of 1,162 AI chart posts.","news":{"headline":"Meta posts self-refinement benchmark chart on July 7, 2026","dek":"A single benchmark bar chart comparing With Self-Refinement and Without Self-Refinement drew 10K views and a 0.37% engagement rate.","what":"Meta published one benchmark bar chart on July 7, 2026, on Improvement With Self-Refinement. The account posted 2 items that day, including one on Improvement With Test-Time Compute at 1.6K views.","numbers":"The post reached 10K views, ranking #816 of 1,162 AI chart posts by views and #26 of 31 Meta posts. Its score rank is #937 of 1,162 AI chart posts.","lesson":"A single benchmark bar chart with 2 models shown drew 10K views against a 39.9K median among AI chart posts. The 0.37% engagement rate, at 0.50x the AI median, shows the chart format did not convert views into likes or saves.","implication":"At #30 of 31 Meta posts by score, this chart sits near the bottom of the account's own output. The 0.28x gap to Meta's 36.4K company median views shows the post travelled well below the publisher's typical chart reach."}},"zh":{"why":[{"factor":"views-per-follower","text":"浏览量1万，粉丝86.5万，单粉浏览0.012，是中位数的0.06倍，第5百分位。"},{"factor":"reach-vs-company","text":"浏览量1万，公司中位数3.6万，仅0.28倍，在31条Meta帖子中排第26。"},{"factor":"engagement","text":"互动率0.37%，为AI中位数0.73%的0.50倍，在1162条中排第987。"}],"verdict":"安静象限，得分28，在1162条AI图表帖中排第937。","news":{"headline":"Meta自精炼图表浏览量垫底","dek":"浏览量1万，互动率0.37%，均低于中位数。","what":"Meta于2026年7月7日发布1张基准柱状图，对比自精炼与否。同日另有1条帖子，主题为测试时计算改进。","numbers":"浏览量1万，在1162条AI图表帖中排第816，中位数4万。得分28，排第937。","lesson":"单粉浏览0.012，为第5百分位，后10%区间。浏览量是公司中位数的0.28倍。","implication":"该帖在Meta的31条帖子中排第30，互动率0.37%低于自身中位数0.81%。"}},"lane":"en:amd/DeepSeek-V4.1-Flash zh:amd/DeepSeek-V4-Flash","checkedAt":"2026-10-13T21:10:07.176Z"}}