[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-62b8734a8b6004b4-using-ai-agg-for-aggregate-data-reasoning-in-bigqu-summary":3,"summaries-facets-categories":120,"summary-related-62b8734a8b6004b4-using-ai-agg-for-aggregate-data-reasoning-in-bigqu-summary":4303},{"id":4,"title":5,"ai":6,"body":13,"categories":78,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":83,"navigation":99,"path":100,"published_at":101,"question":80,"scraped_at":102,"seo":103,"sitemap":104,"source_id":105,"source_name":106,"source_type":107,"source_url":108,"stem":109,"tags":110,"thumbnail_url":115,"tldr":116,"tweet":117,"unknown_tags":118,"__hash__":119},"summaries\u002Fsummaries\u002F62b8734a8b6004b4-using-ai-agg-for-aggregate-data-reasoning-in-bigqu-summary.md","Using AI.AGG for Aggregate Data Reasoning in BigQuery",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4619,564,3296,0.00200075,{"type":14,"value":15,"toc":71},"minimark",[16,21,30,34,37,54,61,65],[17,18,20],"h2",{"id":19},"moving-beyond-row-level-ai-analysis","Moving Beyond Row-Level AI Analysis",[22,23,24,25,29],"p",{},"Traditional AI functions in BigQuery (such as classification or scoring) operate on a row-by-row basis. While effective for individual data points, these functions struggle to provide a high-level \"big picture\" view of large datasets. The ",[26,27,28],"code",{},"AI.AGG"," function addresses this by acting as an aggregate function, allowing the model to reason over an entire group of rows simultaneously to produce a single, synthesized output.",[17,31,33],{"id":32},"how-aiagg-works","How AI.AGG Works",[22,35,36],{},"The function requires only two primary inputs to operate:",[38,39,40,48],"ol",{},[41,42,43,47],"li",{},[44,45,46],"strong",{},"The Data:"," A column (or set of columns) containing the information to be analyzed, such as customer reviews, product descriptions, or image references.",[41,49,50,53],{},[44,51,52],{},"The Instruction:"," A natural language prompt that defines the task (e.g., \"Summarize the overall sentiment\" or \"Categorize these products\").",[22,55,56,57,60],{},"Because it functions as an aggregate, it integrates seamlessly with standard SQL ",[26,58,59],{},"GROUP BY"," clauses. This enables users to generate distinct AI-driven insights for different segments of their data—such as summarizing reviews for every product in a catalog—in a single query execution.",[17,62,64],{"id":63},"multimodal-reasoning-capabilities","Multimodal Reasoning Capabilities",[22,66,67,68,70],{},"A key feature of ",[26,69,28],{}," is its ability to process multimodal data. It can ingest both text and image data (using object references) to perform complex reasoning tasks. For example, a user can pass a product name alongside an image to have the model categorize inventory or compare customer-written reviews against uploaded product photos to identify discrepancies. This capability allows for deeper contextual analysis that would otherwise require complex ETL pipelines or external model orchestration.",{"title":72,"searchDepth":73,"depth":73,"links":74},"",2,[75,76,77],{"id":19,"depth":73,"text":20},{"id":32,"depth":73,"text":33},{"id":63,"depth":73,"text":64},[79],"AI & LLMs",null,"md",false,{"content_references":84,"triage":94},[85,90],{"type":86,"title":87,"url":88,"context":89},"tool","AI.AGG function","https:\u002F\u002Fgoo.gle\u002Fbq-ai-agg","recommended",{"type":86,"title":91,"url":92,"context":93},"BigQuery","https:\u002F\u002Fgoo.gle\u002Fbq-genai-overview","mentioned",{"relevance":95,"novelty":96,"quality":96,"actionability":96,"composite":97,"reasoning":98},5,4,4.35,"Category: Data Science & Visualization. The article discusses the AI.AGG function in BigQuery, which allows for aggregate reasoning over data, addressing a specific pain point of traditional row-level analysis. It provides practical examples of how to use the function with SQL, making it actionable for developers looking to implement AI in their data workflows.",true,"\u002Fsummaries\u002F62b8734a8b6004b4-using-ai-agg-for-aggregate-data-reasoning-in-bigqu-summary","2026-05-27 15:59:25","2026-05-30 14:02:48",{"title":5,"description":72},{"loc":100},"62b8734a8b6004b4","Google Cloud Tech","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=KOGoiV3YNjc","summaries\u002F62b8734a8b6004b4-using-ai-agg-for-aggregate-data-reasoning-in-bigqu-summary",[111,112,113,114],"ai-tools","data-science","automation","sql","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FKOGoiV3YNjc\u002Fhqdefault.jpg","The AI.AGG function in BigQuery allows users to perform generative AI reasoning over entire groups of data using natural language instructions within a single line of SQL.","This is a brief technical demonstration of the new `AI.AGG` function in [BigQuery](https:\u002F\u002Fgoo.gle\u002Fbq-genai-overview), which allows you to run [Gemini](https:\u002F\u002Fgoo.gle\u002Fbq-genai-overview) prompts across grouped data using standard SQL. The video shows how to use natural language to summarize text or analyze multimodal inputs like images and text combined.",[114],"Spi0hoHe15qy4mCpeDs9_J4TpIvIdW1BiZNhmpzgFsw",[121,124,127,129,132,135,137,139,141,143,145,147,150,152,154,156,158,160,162,164,166,168,170,172,174,176,179,182,184,186,188,191,193,195,197,200,202,204,206,208,210,212,214,216,218,220,222,225,227,229,231,233,235,237,239,241,243,245,247,249,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,281,283,285,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301],{"categories":122},[123],"Developer Productivity",{"categories":125},[126],"Business & SaaS",{"categories":128},[79],{"categories":130},[131],"AI Automation",{"categories":133},[134],"Product Strategy",{"categories":136},[79],{"categories":138},[123],{"categories":140},[126],{"categories":142},[],{"categories":144},[79],{"categories":146},[],{"categories":148},[149],"AI News & Trends",{"categories":151},[131],{"categories":153},[131],{"categories":155},[149],{"categories":157},[131],{"categories":159},[131],{"categories":161},[131],{"categories":163},[79],{"categories":165},[79],{"categories":167},[79],{"categories":169},[149],{"categories":171},[79],{"categories":173},[79],{"categories":175},[],{"categories":177},[178],"Design & Frontend",{"categories":180},[181],"Data Science & Visualization",{"categories":183},[149],{"categories":185},[],{"categories":187},[79],{"categories":189},[190],"Software Engineering",{"categories":192},[79],{"categories":194},[131],{"categories":196},[79],{"categories":198},[199],"Marketing & Growth",{"categories":201},[178],{"categories":203},[79],{"categories":205},[131],{"categories":207},[],{"categories":209},[],{"categories":211},[178],{"categories":213},[131],{"categories":215},[123],{"categories":217},[190],{"categories":219},[178],{"categories":221},[79],{"categories":223},[224],"DevOps & Cloud",{"categories":226},[131],{"categories":228},[149],{"categories":230},[79],{"categories":232},[],{"categories":234},[],{"categories":236},[131],{"categories":238},[190],{"categories":240},[],{"categories":242},[126],{"categories":244},[],{"categories":246},[],{"categories":248},[131],{"categories":250},[79],{"categories":252},[79],{"categories":254},[131],{"categories":256},[79],{"categories":258},[79],{"categories":260},[79],{"categories":262},[],{"categories":264},[190],{"categories":266},[],{"categories":268},[],{"categories":270},[190],{"categories":272},[],{"categories":274},[190],{"categories":276},[79],{"categories":278},[79],{"categories":280},[199],{"categories":282},[178],{"categories":284},[178],{"categories":286},[79],{"categories":288},[190],{"categories":290},[131],{"categories":292},[190],{"categories":294},[79],{"categories":296},[79],{"categories":298},[131],{"categories":300},[131],{"categories":302},[181],{"categories":304},[149],{"categories":306},[131],{"categories":308},[131],{"categories":310},[199],{"categories":312},[131],{"categories":314},[134],{"categories":316},[190],{"categories":318},[],{"categories":320},[131],{"categories":322},[],{"categories":324},[131],{"categories":326},[190],{"categories":328},[224],{"categories":330},[178],{"categories":332},[79],{"categories":334},[],{"categories":336},[79],{"categories":338},[],{"categories":340},[131],{"categories":342},[],{"categories":344},[79],{"categories":346},[],{"categories":348},[123],{"categories":350},[190],{"categories":352},[126],{"categories":354},[79],{"categories":356},[79],{"categories":358},[149],{"categories":360},[79],{"categories":362},[],{"categories":364},[79],{"categories":366},[],{"categories":368},[190],{"categories":370},[181],{"categories":372},[],{"categories":374},[79],{"categories":376},[178],{"categories":378},[],{"categories":380},[178],{"categories":382},[131],{"categories":384},[],{"categories":386},[79],{"categories":388},[131],{"categories":390},[149],{"categories":392},[126],{"categories":394},[79],{"categories":396},[],{"categories":398},[131],{"categories":400},[79],{"categories":402},[134],{"categories":404},[],{"categories":406},[79],{"categories":408},[134],{"categories":410},[131],{"categories":412},[131],{"categories":414},[],{"categories":416},[181],{"categories":418},[79],{"categories":420},[],{"categories":422},[123],{"categories":424},[126],{"categories":426},[79],{"categories":428},[131],{"categories":430},[190],{"categories":432},[79],{"categories":434},[],{"categories":436},[],{"categories":438},[79],{"categories":440},[79],{"categories":442},[],{"categories":444},[178],{"categories":446},[],{"categories":448},[79],{"categories":450},[],{"categories":452},[131],{"categories":454},[79],{"categories":456},[178],{"categories":458},[],{"categories":460},[79],{"categories":462},[79],{"categories":464},[126],{"categories":466},[131],{"categories":468},[79],{"categories":470},[79],{"categories":472},[178],{"categories":474},[131],{"categories":476},[],{"categories":478},[],{"categories":480},[149],{"categories":482},[],{"categories":484},[79],{"categories":486},[126,199],{"categories":488},[],{"categories":490},[79],{"categories":492},[131],{"categories":494},[],{"categories":496},[],{"categories":498},[79],{"categories":500},[],{"categories":502},[79],{"categories":504},[224],{"categories":506},[],{"categories":508},[149],{"categories":510},[178],{"categories":512},[],{"categories":514},[149],{"categories":516},[79],{"categories":518},[131],{"categories":520},[149],{"categories":522},[79],{"categories":524},[199],{"categories":526},[],{"categories":528},[126],{"categories":530},[79],{"categories":532},[131],{"categories":534},[],{"categories":536},[79,224],{"categories":538},[79],{"categories":540},[79],{"categories":542},[79],{"categories":544},[131],{"categories":546},[79,190],{"categories":548},[181],{"categories":550},[79],{"categories":552},[199],{"categories":554},[131],{"categories":556},[79],{"categories":558},[131],{"categories":560},[],{"categories":562},[131],{"categories":564},[79],{"categories":566},[79,126],{"categories":568},[126],{"categories":570},[],{"categories":572},[178],{"categories":574},[178],{"categories":576},[],{"categories":578},[],{"categories":580},[149],{"categories":582},[],{"categories":584},[123],{"categories":586},[79],{"categories":588},[190],{"categories":590},[79],{"categories":592},[178],{"categories":594},[131],{"categories":596},[190],{"categories":598},[149],{"categories":600},[178],{"categories":602},[],{"categories":604},[79],{"categories":606},[79],{"categories":608},[79],{"categories":610},[79],{"categories":612},[149],{"categories":614},[123],{"categories":616},[79],{"categories":618},[131],{"categories":620},[224],{"categories":622},[178],{"categories":624},[131],{"categories":626},[],{"categories":628},[],{"categories":630},[178],{"categories":632},[149],{"categories":634},[181],{"categories":636},[],{"categories":638},[79],{"categories":640},[79],{"categories":642},[126],{"categories":644},[79],{"categories":646},[79],{"categories":648},[79],{"categories":650},[149],{"categories":652},[],{"categories":654},[131],{"categories":656},[190],{"categories":658},[],{"categories":660},[79],{"categories":662},[79],{"categories":664},[131],{"categories":666},[79],{"categories":668},[],{"categories":670},[],{"categories":672},[79],{"categories":674},[],{"categories":676},[134],{"categories":678},[126],{"categories":680},[131],{"categories":682},[131],{"categories":684},[],{"categories":686},[123],{"categories":688},[79],{"categories":690},[126],{"categories":692},[149],{"categories":694},[123],{"categories":696},[],{"categories":698},[],{"categories":700},[],{"categories":702},[149],{"categories":704},[149],{"categories":706},[],{"categories":708},[190],{"categories":710},[],{"categories":712},[126],{"categories":714},[],{"categories":716},[],{"categories":718},[123],{"categories":720},[],{"categories":722},[199],{"categories":724},[131],{"categories":726},[126],{"categories":728},[131],{"categories":730},[190],{"categories":732},[],{"categories":734},[134],{"categories":736},[178],{"categories":738},[190],{"categories":740},[79],{"categories":742},[131],{"categories":744},[126],{"categories":746},[79],{"categories":748},[],{"categories":750},[],{"categories":752},[190],{"categories":754},[181],{"categories":756},[134],{"categories":758},[131],{"categories":760},[79],{"categories":762},[],{"categories":764},[224],{"categories":766},[],{"categories":768},[131],{"categories":770},[],{"categories":772},[123],{"categories":774},[],{"categories":776},[79],{"categories":778},[79],{"categories":780},[178],{"categories":782},[199],{"categories":784},[131],{"categories":786},[],{"categories":788},[190],{"categories":790},[123],{"categories":792},[],{"categories":794},[149],{"categories":796},[79,224],{"categories":798},[79],{"categories":800},[149],{"categories":802},[79],{"categories":804},[79],{"categories":806},[126],{"categories":808},[79],{"categories":810},[],{"categories":812},[79],{"categories":814},[126],{"categories":816},[],{"categories":818},[131],{"categories":820},[190],{"categories":822},[178],{"categories":824},[149],{"categories":826},[181],{"categories":828},[79],{"categories":830},[123],{"categories":832},[79],{"categories":834},[131],{"categories":836},[190],{"categories":838},[],{"categories":840},[],{"categories":842},[131],{"categories":844},[134],{"categories":846},[],{"categories":848},[79],{"categories":850},[],{"categories":852},[178],{"categories":854},[131],{"categories":856},[190],{"categories":858},[178],{"categories":860},[79],{"categories":862},[178],{"categories":864},[],{"categories":866},[],{"categories":868},[149],{"categories":870},[131],{"categories":872},[131],{"categories":874},[79],{"categories":876},[79],{"categories":878},[79],{"categories":880},[126],{"categories":882},[79],{"categories":884},[],{"categories":886},[190],{"categories":888},[190],{"categories":890},[126],{"categories":892},[],{"categories":894},[79],{"categories":896},[79],{"categories":898},[123],{"categories":900},[126],{"categories":902},[149],{"categories":904},[199],{"categories":906},[79],{"categories":908},[131],{"categories":910},[],{"categories":912},[178],{"categories":914},[],{"categories":916},[79],{"categories":918},[79],{"categories":920},[],{"categories":922},[126],{"categories":924},[131],{"categories":926},[],{"categories":928},[224],{"categories":930},[181],{"categories":932},[190],{"categories":934},[199],{"categories":936},[178],{"categories":938},[79],{"categories":940},[190],{"categories":942},[131],{"categories":944},[],{"categories":946},[],{"categories":948},[131],{"categories":950},[123],{"categories":952},[131],{"categories":954},[134],{"categories":956},[126],{"categories":958},[],{"categories":960},[79],{"categories":962},[134],{"categories":964},[79],{"categories":966},[79],{"categories":968},[79],{"categories":970},[199],{"categories":972},[79],{"categories":974},[79],{"categories":976},[178],{"categories":978},[131],{"categories":980},[],{"categories":982},[],{"categories":984},[224],{"categories":986},[190],{"categories":988},[],{"categories":990},[131],{"categories":992},[79],{"categories":994},[178,79],{"categories":996},[123],{"categories":998},[],{"categories":1000},[79],{"categories":1002},[123],{"categories":1004},[178],{"categories":1006},[131],{"categories":1008},[190],{"categories":1010},[],{"categories":1012},[79],{"categories":1014},[],{"categories":1016},[],{"categories":1018},[79],{"categories":1020},[123],{"categories":1022},[79],{"categories":1024},[],{"categories":1026},[131],{"categories":1028},[134],{"categories":1030},[79],{"categories":1032},[79],{"categories":1034},[79],{"categories":1036},[178],{"categories":1038},[131],{"categories":1040},[224],{"categories":1042},[178],{"categories":1044},[131],{"categories":1046},[79],{"categories":1048},[79],{"categories":1050},[79],{"categories":1052},[190],{"categories":1054},[79],{"categories":1056},[],{"categories":1058},[149],{"categories":1060},[],{"categories":1062},[134],{"categories":1064},[131],{"categories":1066},[178],{"categories":1068},[79],{"categories":1070},[131],{"categories":1072},[190],{"categories":1074},[178],{"categories":1076},[131],{"categories":1078},[149],{"categories":1080},[],{"categories":1082},[],{"categories":1084},[79],{"categories":1086},[178],{"categories":1088},[79],{"categories":1090},[123],{"categories":1092},[149],{"categories":1094},[79],{"categories":1096},[199],{"categories":1098},[79],{"categories":1100},[79],{"categories":1102},[131],{"categories":1104},[131],{"categories":1106},[79],{"categories":1108},[131],{"categories":1110},[131],{"categories":1112},[79],{"categories":1114},[131],{"categories":1116},[178],{"categories":1118},[79],{"categories":1120},[79],{"categories":1122},[],{"categories":1124},[],{"categories":1126},[190],{"categories":1128},[],{"categories":1130},[123],{"categories":1132},[224],{"categories":1134},[79],{"categories":1136},[],{"categories":1138},[123],{"categories":1140},[126],{"categories":1142},[79],{"categories":1144},[199],{"categories":1146},[],{"categories":1148},[126],{"categories":1150},[],{"categories":1152},[79],{"categories":1154},[190],{"categories":1156},[],{"categories":1158},[],{"categories":1160},[],{"categories":1162},[],{"categories":1164},[79],{"categories":1166},[131],{"categories":1168},[224],{"categories":1170},[123],{"categories":1172},[190],{"categories":1174},[79],{"categories":1176},[190],{"categories":1178},[134],{"categories":1180},[79],{"categories":1182},[199],{"categories":1184},[126],{"categories":1186},[79],{"categories":1188},[79],{"categories":1190},[79],{"categories":1192},[79,123],{"categories":1194},[190],{"categories":1196},[190],{"categories":1198},[178],{"categories":1200},[131],{"categories":1202},[79],{"categories":1204},[79],{"categories":1206},[],{"categories":1208},[],{"categories":1210},[79],{"categories":1212},[],{"categories":1214},[190],{"categories":1216},[181],{"categories":1218},[149],{"categories":1220},[178],{"categories":1222},[190],{"categories":1224},[],{"categories":1226},[79],{"categories":1228},[79],{"categories":1230},[],{"categories":1232},[131],{"categories":1234},[79],{"categories":1236},[79],{"categories":1238},[],{"categories":1240},[131],{"categories":1242},[79],{"categories":1244},[126],{"categories":1246},[],{"categories":1248},[123],{"categories":1250},[79],{"categories":1252},[123],{"categories":1254},[79],{"categories":1256},[190],{"categories":1258},[199],{"categories":1260},[131],{"categories":1262},[79,178],{"categories":1264},[149],{"categories":1266},[79],{"categories":1268},[178],{"categories":1270},[],{"categories":1272},[190],{"categories":1274},[224],{"categories":1276},[178],{"categories":1278},[79],{"categories":1280},[131],{"categories":1282},[],{"categories":1284},[],{"categories":1286},[],{"categories":1288},[],{"categories":1290},[190],{"categories":1292},[131],{"categories":1294},[131],{"categories":1296},[224],{"categories":1298},[79],{"categories":1300},[79],{"categories":1302},[131],{"categories":1304},[79],{"categories":1306},[79],{"categories":1308},[],{"categories":1310},[178],{"categories":1312},[],{"categories":1314},[],{"categories":1316},[131],{"categories":1318},[],{"categories":1320},[],{"categories":1322},[199],{"categories":1324},[199],{"categories":1326},[131],{"categories":1328},[190],{"categories":1330},[],{"categories":1332},[79],{"categories":1334},[79],{"categories":1336},[190],{"categories":1338},[178],{"categories":1340},[178],{"categories":1342},[131],{"categories":1344},[123],{"categories":1346},[79],{"categories":1348},[178],{"categories":1350},[178],{"categories":1352},[131],{"categories":1354},[131],{"categories":1356},[79],{"categories":1358},[],{"categories":1360},[79],{"categories":1362},[],{"categories":1364},[79],{"categories":1366},[131],{"categories":1368},[149],{"categories":1370},[190],{"categories":1372},[79],{"categories":1374},[123],{"categories":1376},[79],{"categories":1378},[],{"categories":1380},[131],{"categories":1382},[131],{"categories":1384},[],{"categories":1386},[79],{"categories":1388},[123],{"categories":1390},[79],{"categories":1392},[123],{"categories":1394},[123],{"categories":1396},[],{"categories":1398},[],{"categories":1400},[131],{"categories":1402},[149],{"categories":1404},[131],{"categories":1406},[79],{"categories":1408},[131],{"categories":1410},[79],{"categories":1412},[149],{"categories":1414},[181],{"categories":1416},[134],{"categories":1418},[149],{"categories":1420},[178],{"categories":1422},[],{"categories":1424},[],{"categories":1426},[149],{"categories":1428},[],{"categories":1430},[],{"categories":1432},[],{"categories":1434},[],{"categories":1436},[190],{"categories":1438},[190],{"categories":1440},[181],{"categories":1442},[],{"categories":1444},[79],{"categories":1446},[79],{"categories":1448},[181],{"categories":1450},[190],{"categories":1452},[],{"categories":1454},[],{"categories":1456},[131],{"categories":1458},[190],{"categories":1460},[131],{"categories":1462},[149],{"categories":1464},[149],{"categories":1466},[131],{"categories":1468},[131],{"categories":1470},[123],{"categories":1472},[79,224],{"categories":1474},[],{"categories":1476},[178],{"categories":1478},[123],{"categories":1480},[131],{"categories":1482},[178],{"categories":1484},[],{"categories":1486},[131],{"categories":1488},[131],{"categories":1490},[79],{"categories":1492},[199],{"categories":1494},[190],{"categories":1496},[178],{"categories":1498},[79],{"categories":1500},[],{"categories":1502},[131],{"categories":1504},[79],{"categories":1506},[131],{"categories":1508},[131],{"categories":1510},[131],{"categories":1512},[199],{"categories":1514},[79],{"categories":1516},[131],{"categories":1518},[79],{"categories":1520},[],{"categories":1522},[199],{"categories":1524},[149],{"categories":1526},[190],{"categories":1528},[79],{"categories":1530},[131],{"categories":1532},[],{"categories":1534},[],{"categories":1536},[79],{"categories":1538},[131],{"categories":1540},[149],{"categories":1542},[131],{"categories":1544},[131],{"categories":1546},[],{"categories":1548},[79],{"categories":1550},[],{"categories":1552},[],{"categories":1554},[131],{"categories":1556},[],{"categories":1558},[],{"categories":1560},[181],{"categories":1562},[79],{"categories":1564},[181],{"categories":1566},[149],{"categories":1568},[79],{"categories":1570},[79],{"categories":1572},[131],{"categories":1574},[79],{"categories":1576},[],{"categories":1578},[],{"categories":1580},[224],{"categories":1582},[79],{"categories":1584},[],{"categories":1586},[],{"categories":1588},[123],{"categories":1590},[],{"categories":1592},[],{"categories":1594},[79],{"categories":1596},[],{"categories":1598},[],{"categories":1600},[190],{"categories":1602},[149],{"categories":1604},[199],{"categories":1606},[126],{"categories":1608},[79],{"categories":1610},[79],{"categories":1612},[126],{"categories":1614},[],{"categories":1616},[178],{"categories":1618},[131],{"categories":1620},[126],{"categories":1622},[79],{"categories":1624},[79],{"categories":1626},[123],{"categories":1628},[79],{"categories":1630},[],{"categories":1632},[123],{"categories":1634},[79],{"categories":1636},[199],{"categories":1638},[131],{"categories":1640},[149],{"categories":1642},[79],{"categories":1644},[126],{"categories":1646},[79],{"categories":1648},[79],{"categories":1650},[131],{"categories":1652},[],{"categories":1654},[79],{"categories":1656},[123],{"categories":1658},[79],{"categories":1660},[79],{"categories":1662},[],{"categories":1664},[149],{"categories":1666},[79],{"categories":1668},[79],{"categories":1670},[],{"categories":1672},[126],{"categories":1674},[126],{"categories":1676},[79],{"categories":1678},[79],{"categories":1680},[],{"categories":1682},[],{"categories":1684},[],{"categories":1686},[79],{"categories":1688},[149],{"categories":1690},[],{"categories":1692},[224],{"categories":1694},[79],{"categories":1696},[79],{"categories":1698},[],{"categories":1700},[79],{"categories":1702},[190],{"categories":1704},[79],{"categories":1706},[79],{"categories":1708},[79,224],{"categories":1710},[79],{"categories":1712},[79],{"categories":1714},[178],{"categories":1716},[131],{"categories":1718},[],{"categories":1720},[131],{"categories":1722},[131],{"categories":1724},[79],{"categories":1726},[79],{"categories":1728},[79],{"categories":1730},[123],{"categories":1732},[123],{"categories":1734},[190],{"categories":1736},[178],{"categories":1738},[131],{"categories":1740},[],{"categories":1742},[79],{"categories":1744},[149],{"categories":1746},[79],{"categories":1748},[131],{"categories":1750},[79],{"categories":1752},[79],{"categories":1754},[126],{"categories":1756},[],{"categories":1758},[224],{"categories":1760},[178],{"categories":1762},[178],{"categories":1764},[190],{"categories":1766},[131],{"categories":1768},[149],{"categories":1770},[131],{"categories":1772},[79],{"categories":1774},[],{"categories":1776},[79],{"categories":1778},[],{"categories":1780},[],{"categories":1782},[79],{"categories":1784},[79],{"categories":1786},[79],{"categories":1788},[131],{"categories":1790},[79],{"categories":1792},[79],{"categories":1794},[],{"categories":1796},[181],{"categories":1798},[131],{"categories":1800},[],{"categories":1802},[],{"categories":1804},[79],{"categories":1806},[79],{"categories":1808},[79],{"categories":1810},[149],{"categories":1812},[],{"categories":1814},[178],{"categories":1816},[224],{"categories":1818},[149],{"categories":1820},[190],{"categories":1822},[190],{"categories":1824},[149],{"categories":1826},[149],{"categories":1828},[224],{"categories":1830},[],{"categories":1832},[149],{"categories":1834},[79],{"categories":1836},[123],{"categories":1838},[79],{"categories":1840},[149],{"categories":1842},[],{"categories":1844},[190],{"categories":1846},[181],{"categories":1848},[79],{"categories":1850},[149],{"categories":1852},[190],{"categories":1854},[131],{"categories":1856},[149],{"categories":1858},[224],{"categories":1860},[131],{"categories":1862},[79],{"categories":1864},[79],{"categories":1866},[79],{"categories":1868},[],{"categories":1870},[126],{"categories":1872},[],{"categories":1874},[],{"categories":1876},[79],{"categories":1878},[79],{"categories":1880},[79],{"categories":1882},[79],{"categories":1884},[],{"categories":1886},[181],{"categories":1888},[123],{"categories":1890},[178],{"categories":1892},[],{"categories":1894},[79],{"categories":1896},[190],{"categories":1898},[79],{"categories":1900},[224],{"categories":1902},[224],{"categories":1904},[],{"categories":1906},[131],{"categories":1908},[149],{"categories":1910},[149],{"categories":1912},[79],{"categories":1914},[131],{"categories":1916},[],{"categories":1918},[178],{"categories":1920},[79],{"categories":1922},[79],{"categories":1924},[],{"categories":1926},[79],{"categories":1928},[],{"categories":1930},[190],{"categories":1932},[224],{"categories":1934},[79],{"categories":1936},[190],{"categories":1938},[126],{"categories":1940},[79],{"categories":1942},[],{"categories":1944},[131],{"categories":1946},[123],{"categories":1948},[123],{"categories":1950},[],{"categories":1952},[79],{"categories":1954},[178],{"categories":1956},[131],{"categories":1958},[],{"categories":1960},[79],{"categories":1962},[79],{"categories":1964},[131],{"categories":1966},[],{"categories":1968},[131],{"categories":1970},[190],{"categories":1972},[],{"categories":1974},[79],{"categories":1976},[131],{"categories":1978},[126],{"categories":1980},[],{"categories":1982},[79],{"categories":1984},[],{"categories":1986},[79],{"categories":1988},[79],{"categories":1990},[],{"categories":1992},[79],{"categories":1994},[79],{"categories":1996},[149],{"categories":1998},[79],{"categories":2000},[79],{"categories":2002},[123],{"categories":2004},[79],{"categories":2006},[149],{"categories":2008},[131],{"categories":2010},[],{"categories":2012},[79],{"categories":2014},[178],{"categories":2016},[199],{"categories":2018},[79],{"categories":2020},[131],{"categories":2022},[],{"categories":2024},[],{"categories":2026},[],{"categories":2028},[123],{"categories":2030},[149],{"categories":2032},[131],{"categories":2034},[79],{"categories":2036},[178],{"categories":2038},[131],{"categories":2040},[],{"categories":2042},[131],{"categories":2044},[],{"categories":2046},[79],{"categories":2048},[131],{"categories":2050},[79],{"categories":2052},[],{"categories":2054},[79],{"categories":2056},[79],{"categories":2058},[149],{"categories":2060},[178],{"categories":2062},[131],{"categories":2064},[178],{"categories":2066},[126],{"categories":2068},[],{"categories":2070},[],{"categories":2072},[79],{"categories":2074},[123],{"categories":2076},[149],{"categories":2078},[],{"categories":2080},[178],{"categories":2082},[],{"categories":2084},[190],{"categories":2086},[190],{"categories":2088},[178],{"categories":2090},[],{"categories":2092},[79],{"categories":2094},[],{"categories":2096},[199],{"categories":2098},[79],{"categories":2100},[224],{"categories":2102},[190],{"categories":2104},[],{"categories":2106},[131],{"categories":2108},[79],{"categories":2110},[123],{"categories":2112},[131],{"categories":2114},[131],{"categories":2116},[79],{"categories":2118},[],{"categories":2120},[123],{"categories":2122},[79],{"categories":2124},[126],{"categories":2126},[190],{"categories":2128},[178],{"categories":2130},[],{"categories":2132},[],{"categories":2134},[],{"categories":2136},[131],{"categories":2138},[190],{"categories":2140},[178],{"categories":2142},[149],{"categories":2144},[79],{"categories":2146},[149],{"categories":2148},[131],{"categories":2150},[178],{"categories":2152},[],{"categories":2154},[178],{"categories":2156},[149],{"categories":2158},[126],{"categories":2160},[190],{"categories":2162},[79],{"categories":2164},[149],{"categories":2166},[199],{"categories":2168},[],{"categories":2170},[],{"categories":2172},[181],{"categories":2174},[79,190],{"categories":2176},[149],{"categories":2178},[79],{"categories":2180},[131],{"categories":2182},[79],{"categories":2184},[131],{"categories":2186},[79],{"categories":2188},[79],{"categories":2190},[],{"categories":2192},[190],{"categories":2194},[79],{"categories":2196},[181],{"categories":2198},[131],{"categories":2200},[199],{"categories":2202},[224],{"categories":2204},[],{"categories":2206},[123],{"categories":2208},[131],{"categories":2210},[131],{"categories":2212},[190],{"categories":2214},[79],{"categories":2216},[79],{"categories":2218},[],{"categories":2220},[],{"categories":2222},[],{"categories":2224},[224],{"categories":2226},[79],{"categories":2228},[149],{"categories":2230},[79],{"categories":2232},[79],{"categories":2234},[79],{"categories":2236},[],{"categories":2238},[181],{"categories":2240},[126],{"categories":2242},[131],{"categories":2244},[],{"categories":2246},[79],{"categories":2248},[131],{"categories":2250},[79],{"categories":2252},[224],{"categories":2254},[],{"categories":2256},[178],{"categories":2258},[178],{"categories":2260},[],{"categories":2262},[190],{"categories":2264},[79],{"categories":2266},[178],{"categories":2268},[79],{"categories":2270},[126],{"categories":2272},[],{"categories":2274},[149],{"categories":2276},[79],{"categories":2278},[79],{"categories":2280},[178],{"categories":2282},[131],{"categories":2284},[149],{"categories":2286},[],{"categories":2288},[131],{"categories":2290},[178],{"categories":2292},[79],{"categories":2294},[],{"categories":2296},[79],{"categories":2298},[79],{"categories":2300},[224],{"categories":2302},[149],{"categories":2304},[181],{"categories":2306},[181],{"categories":2308},[],{"categories":2310},[],{"categories":2312},[],{"categories":2314},[131],{"categories":2316},[190],{"categories":2318},[190],{"categories":2320},[79],{"categories":2322},[79],{"categories":2324},[],{"categories":2326},[],{"categories":2328},[79],{"categories":2330},[],{"categories":2332},[79],{"categories":2334},[131],{"categories":2336},[79],{"categories":2338},[],{"categories":2340},[134],{"categories":2342},[79],{"categories":2344},[126],{"categories":2346},[79],{"categories":2348},[199],{"categories":2350},[131],{"categories":2352},[79],{"categories":2354},[79],{"categories":2356},[79],{"categories":2358},[190],{"categories":2360},[],{"categories":2362},[149],{"categories":2364},[131],{"categories":2366},[],{"categories":2368},[149],{"categories":2370},[131],{"categories":2372},[79],{"categories":2374},[131],{"categories":2376},[],{"categories":2378},[126],{"categories":2380},[131],{"categories":2382},[],{"categories":2384},[190],{"categories":2386},[79],{"categories":2388},[123],{"categories":2390},[149],{"categories":2392},[224],{"categories":2394},[131],{"categories":2396},[131],{"categories":2398},[123],{"categories":2400},[],{"categories":2402},[79],{"categories":2404},[],{"categories":2406},[],{"categories":2408},[178],{"categories":2410},[79,126],{"categories":2412},[79],{"categories":2414},[],{"categories":2416},[123],{"categories":2418},[181],{"categories":2420},[79],{"categories":2422},[190],{"categories":2424},[79],{"categories":2426},[131],{"categories":2428},[79],{"categories":2430},[79],{"categories":2432},[79],{"categories":2434},[149],{"categories":2436},[131],{"categories":2438},[79],{"categories":2440},[],{"categories":2442},[],{"categories":2444},[131],{"categories":2446},[79],{"categories":2448},[224],{"categories":2450},[],{"categories":2452},[79],{"categories":2454},[131],{"categories":2456},[],{"categories":2458},[131],{"categories":2460},[79],{"categories":2462},[199],{"categories":2464},[181],{"categories":2466},[131],{"categories":2468},[79],{"categories":2470},[224],{"categories":2472},[],{"categories":2474},[79],{"categories":2476},[199],{"categories":2478},[178],{"categories":2480},[79],{"categories":2482},[79],{"categories":2484},[],{"categories":2486},[199],{"categories":2488},[149],{"categories":2490},[79],{"categories":2492},[79],{"categories":2494},[123],{"categories":2496},[79],{"categories":2498},[],{"categories":2500},[],{"categories":2502},[178],{"categories":2504},[79],{"categories":2506},[181],{"categories":2508},[199],{"categories":2510},[131],{"categories":2512},[199],{"categories":2514},[149],{"categories":2516},[],{"categories":2518},[],{"categories":2520},[79],{"categories":2522},[131],{"categories":2524},[79],{"categories":2526},[79],{"categories":2528},[],{"categories":2530},[79,190],{"categories":2532},[149],{"categories":2534},[131],{"categories":2536},[190],{"categories":2538},[79],{"categories":2540},[123],{"categories":2542},[],{"categories":2544},[],{"categories":2546},[190],{"categories":2548},[123],{"categories":2550},[190],{"categories":2552},[190],{"categories":2554},[199],{"categories":2556},[79],{"categories":2558},[190],{"categories":2560},[],{"categories":2562},[178,79],{"categories":2564},[224],{"categories":2566},[123],{"categories":2568},[],{"categories":2570},[126],{"categories":2572},[126],{"categories":2574},[79],{"categories":2576},[79],{"categories":2578},[190],{"categories":2580},[131],{"categories":2582},[149],{"categories":2584},[199],{"categories":2586},[178],{"categories":2588},[79],{"categories":2590},[79],{"categories":2592},[79],{"categories":2594},[79],{"categories":2596},[123],{"categories":2598},[79],{"categories":2600},[131],{"categories":2602},[149],{"categories":2604},[190],{"categories":2606},[],{"categories":2608},[],{"categories":2610},[181],{"categories":2612},[190],{"categories":2614},[79],{"categories":2616},[178],{"categories":2618},[79],{"categories":2620},[181],{"categories":2622},[79],{"categories":2624},[79],{"categories":2626},[79],{"categories":2628},[131],{"categories":2630},[131],{"categories":2632},[79,126],{"categories":2634},[],{"categories":2636},[178],{"categories":2638},[],{"categories":2640},[79],{"categories":2642},[149],{"categories":2644},[123],{"categories":2646},[123],{"categories":2648},[131],{"categories":2650},[131],{"categories":2652},[79],{"categories":2654},[79],{"categories":2656},[126],{"categories":2658},[190],{"categories":2660},[199],{"categories":2662},[79],{"categories":2664},[],{"categories":2666},[149],{"categories":2668},[79],{"categories":2670},[79],{"categories":2672},[79],{"categories":2674},[79],{"categories":2676},[79],{"categories":2678},[190],{"categories":2680},[149],{"categories":2682},[190],{"categories":2684},[190],{"categories":2686},[79],{"categories":2688},[79],{"categories":2690},[131],{"categories":2692},[149],{"categories":2694},[131],{"categories":2696},[79],{"categories":2698},[178],{"categories":2700},[79],{"categories":2702},[79],{"categories":2704},[224],{"categories":2706},[79],{"categories":2708},[134],{"categories":2710},[131],{"categories":2712},[79],{"categories":2714},[149],{"categories":2716},[131],{"categories":2718},[199],{"categories":2720},[79],{"categories":2722},[126],{"categories":2724},[79],{"categories":2726},[],{"categories":2728},[79],{"categories":2730},[79],{"categories":2732},[],{"categories":2734},[],{"categories":2736},[],{"categories":2738},[126],{"categories":2740},[79],{"categories":2742},[131],{"categories":2744},[149],{"categories":2746},[149],{"categories":2748},[149],{"categories":2750},[149],{"categories":2752},[],{"categories":2754},[123],{"categories":2756},[131],{"categories":2758},[149],{"categories":2760},[79],{"categories":2762},[123],{"categories":2764},[131],{"categories":2766},[79],{"categories":2768},[79,131],{"categories":2770},[131],{"categories":2772},[224],{"categories":2774},[149],{"categories":2776},[131],{"categories":2778},[149],{"categories":2780},[131],{"categories":2782},[79],{"categories":2784},[],{"categories":2786},[149],{"categories":2788},[199],{"categories":2790},[123],{"categories":2792},[79],{"categories":2794},[79],{"categories":2796},[],{"categories":2798},[190],{"categories":2800},[],{"categories":2802},[123],{"categories":2804},[131],{"categories":2806},[149],{"categories":2808},[79],{"categories":2810},[149],{"categories":2812},[123],{"categories":2814},[149],{"categories":2816},[149],{"categories":2818},[],{"categories":2820},[126],{"categories":2822},[131],{"categories":2824},[149],{"categories":2826},[149],{"categories":2828},[149],{"categories":2830},[149],{"categories":2832},[149],{"categories":2834},[149],{"categories":2836},[149],{"categories":2838},[149],{"categories":2840},[149],{"categories":2842},[149],{"categories":2844},[181],{"categories":2846},[123],{"categories":2848},[79],{"categories":2850},[79],{"categories":2852},[131],{"categories":2854},[],{"categories":2856},[79,123],{"categories":2858},[],{"categories":2860},[131],{"categories":2862},[149],{"categories":2864},[131],{"categories":2866},[79],{"categories":2868},[79],{"categories":2870},[79],{"categories":2872},[79],{"categories":2874},[79],{"categories":2876},[131],{"categories":2878},[126],{"categories":2880},[],{"categories":2882},[178],{"categories":2884},[149],{"categories":2886},[79],{"categories":2888},[],{"categories":2890},[],{"categories":2892},[131],{"categories":2894},[178],{"categories":2896},[79],{"categories":2898},[],{"categories":2900},[79],{"categories":2902},[],{"categories":2904},[199],{"categories":2906},[79],{"categories":2908},[],{"categories":2910},[],{"categories":2912},[149],{"categories":2914},[123],{"categories":2916},[79],{"categories":2918},[126],{"categories":2920},[79],{"categories":2922},[126],{"categories":2924},[178],{"categories":2926},[],{"categories":2928},[149],{"categories":2930},[],{"categories":2932},[178],{"categories":2934},[79],{"categories":2936},[199],{"categories":2938},[79],{"categories":2940},[],{"categories":2942},[199],{"categories":2944},[],{"categories":2946},[79],{"categories":2948},[],{"categories":2950},[131],{"categories":2952},[],{"categories":2954},[126],{"categories":2956},[123],{"categories":2958},[131],{"categories":2960},[178],{"categories":2962},[190],{"categories":2964},[],{"categories":2966},[],{"categories":2968},[79],{"categories":2970},[123],{"categories":2972},[199],{"categories":2974},[],{"categories":2976},[131],{"categories":2978},[131],{"categories":2980},[149],{"categories":2982},[190],{"categories":2984},[79],{"categories":2986},[131],{"categories":2988},[79],{"categories":2990},[131],{"categories":2992},[79],{"categories":2994},[134],{"categories":2996},[199],{"categories":2998},[149],{"categories":3000},[],{"categories":3002},[199],{"categories":3004},[],{"categories":3006},[190],{"categories":3008},[131],{"categories":3010},[],{"categories":3012},[79],{"categories":3014},[131],{"categories":3016},[126],{"categories":3018},[123],{"categories":3020},[79],{"categories":3022},[178],{"categories":3024},[190],{"categories":3026},[190],{"categories":3028},[79],{"categories":3030},[181],{"categories":3032},[79],{"categories":3034},[131],{"categories":3036},[126],{"categories":3038},[178],{"categories":3040},[131],{"categories":3042},[79],{"categories":3044},[79],{"categories":3046},[131],{"categories":3048},[149],{"categories":3050},[],{"categories":3052},[123],{"categories":3054},[79],{"categories":3056},[79],{"categories":3058},[131],{"categories":3060},[79],{"categories":3062},[79],{"categories":3064},[],{"categories":3066},[79],{"categories":3068},[178],{"categories":3070},[126],{"categories":3072},[149],{"categories":3074},[79],{"categories":3076},[79],{"categories":3078},[178],{"categories":3080},[79],{"categories":3082},[199],{"categories":3084},[181],{"categories":3086},[79],{"categories":3088},[149],{"categories":3090},[79],{"categories":3092},[131],{"categories":3094},[224],{"categories":3096},[79],{"categories":3098},[131],{"categories":3100},[181],{"categories":3102},[],{"categories":3104},[131],{"categories":3106},[190],{"categories":3108},[178],{"categories":3110},[79],{"categories":3112},[123],{"categories":3114},[190],{"categories":3116},[126],{"categories":3118},[190],{"categories":3120},[79],{"categories":3122},[],{"categories":3124},[131],{"categories":3126},[131],{"categories":3128},[79],{"categories":3130},[181],{"categories":3132},[],{"categories":3134},[149],{"categories":3136},[],{"categories":3138},[149],{"categories":3140},[79],{"categories":3142},[79],{"categories":3144},[131],{"categories":3146},[131],{"categories":3148},[131],{"categories":3150},[],{"categories":3152},[149],{"categories":3154},[],{"categories":3156},[79],{"categories":3158},[79],{"categories":3160},[],{"categories":3162},[178],{"categories":3164},[131],{"categories":3166},[199],{"categories":3168},[79],{"categories":3170},[123],{"categories":3172},[],{"categories":3174},[79],{"categories":3176},[],{"categories":3178},[123],{"categories":3180},[149],{"categories":3182},[190],{"categories":3184},[79],{"categories":3186},[79],{"categories":3188},[79],{"categories":3190},[190],{"categories":3192},[149],{"categories":3194},[178],{"categories":3196},[79],{"categories":3198},[79],{"categories":3200},[79],{"categories":3202},[149],{"categories":3204},[79],{"categories":3206},[149],{"categories":3208},[149],{"categories":3210},[131],{"categories":3212},[131],{"categories":3214},[190],{"categories":3216},[149],{"categories":3218},[131],{"categories":3220},[131],{"categories":3222},[79],{"categories":3224},[190],{"categories":3226},[178],{"categories":3228},[79],{"categories":3230},[],{"categories":3232},[131],{"categories":3234},[],{"categories":3236},[],{"categories":3238},[],{"categories":3240},[126],{"categories":3242},[131],{"categories":3244},[79],{"categories":3246},[131],{"categories":3248},[123],{"categories":3250},[131],{"categories":3252},[199],{"categories":3254},[],{"categories":3256},[131],{"categories":3258},[],{"categories":3260},[123],{"categories":3262},[131],{"categories":3264},[],{"categories":3266},[131],{"categories":3268},[79],{"categories":3270},[79],{"categories":3272},[149],{"categories":3274},[79],{"categories":3276},[131],{"categories":3278},[79],{"categories":3280},[149],{"categories":3282},[131],{"categories":3284},[190],{"categories":3286},[178],{"categories":3288},[123],{"categories":3290},[],{"categories":3292},[131],{"categories":3294},[178],{"categories":3296},[224],{"categories":3298},[149],{"categories":3300},[79],{"categories":3302},[178],{"categories":3304},[123],{"categories":3306},[],{"categories":3308},[131],{"categories":3310},[79],{"categories":3312},[79],{"categories":3314},[131],{"categories":3316},[79],{"categories":3318},[178],{"categories":3320},[],{"categories":3322},[131],{"categories":3324},[134],{"categories":3326},[149],{"categories":3328},[131],{"categories":3330},[126],{"categories":3332},[],{"categories":3334},[79],{"categories":3336},[134],{"categories":3338},[79],{"categories":3340},[131],{"categories":3342},[149],{"categories":3344},[123],{"categories":3346},[224],{"categories":3348},[79],{"categories":3350},[79],{"categories":3352},[79],{"categories":3354},[149],{"categories":3356},[126],{"categories":3358},[79],{"categories":3360},[178],{"categories":3362},[149],{"categories":3364},[224],{"categories":3366},[79],{"categories":3368},[],{"categories":3370},[],{"categories":3372},[79],{"categories":3374},[224],{"categories":3376},[181],{"categories":3378},[131],{"categories":3380},[131],{"categories":3382},[149],{"categories":3384},[79],{"categories":3386},[123],{"categories":3388},[178],{"categories":3390},[131],{"categories":3392},[131],{"categories":3394},[79],{"categories":3396},[199],{"categories":3398},[79],{"categories":3400},[131],{"categories":3402},[],{"categories":3404},[79],{"categories":3406},[79],{"categories":3408},[149],{"categories":3410},[123],{"categories":3412},[],{"categories":3414},[79],{"categories":3416},[79],{"categories":3418},[190],{"categories":3420},[178],{"categories":3422},[79,131],{"categories":3424},[199,126],{"categories":3426},[79],{"categories":3428},[79],{"categories":3430},[],{"categories":3432},[131],{"categories":3434},[],{"categories":3436},[190],{"categories":3438},[79],{"categories":3440},[],{"categories":3442},[79],{"categories":3444},[149],{"categories":3446},[],{"categories":3448},[131],{"categories":3450},[79],{"categories":3452},[],{"categories":3454},[178],{"categories":3456},[131],{"categories":3458},[79],{"categories":3460},[123],{"categories":3462},[131],{"categories":3464},[79],{"categories":3466},[],{"categories":3468},[224],{"categories":3470},[199],{"categories":3472},[126],{"categories":3474},[126],{"categories":3476},[123],{"categories":3478},[123],{"categories":3480},[79],{"categories":3482},[131],{"categories":3484},[79],{"categories":3486},[79],{"categories":3488},[123],{"categories":3490},[79],{"categories":3492},[199],{"categories":3494},[149],{"categories":3496},[79],{"categories":3498},[79],{"categories":3500},[131],{"categories":3502},[79],{"categories":3504},[],{"categories":3506},[190],{"categories":3508},[],{"categories":3510},[190],{"categories":3512},[131],{"categories":3514},[123],{"categories":3516},[],{"categories":3518},[224],{"categories":3520},[79],{"categories":3522},[],{"categories":3524},[149],{"categories":3526},[131],{"categories":3528},[190],{"categories":3530},[79],{"categories":3532},[131],{"categories":3534},[190],{"categories":3536},[131],{"categories":3538},[149],{"categories":3540},[123],{"categories":3542},[149],{"categories":3544},[190],{"categories":3546},[79],{"categories":3548},[178],{"categories":3550},[79],{"categories":3552},[79],{"categories":3554},[79],{"categories":3556},[79],{"categories":3558},[79],{"categories":3560},[131],{"categories":3562},[79],{"categories":3564},[131],{"categories":3566},[79],{"categories":3568},[123],{"categories":3570},[79],{"categories":3572},[131],{"categories":3574},[178],{"categories":3576},[131],{"categories":3578},[123],{"categories":3580},[131],{"categories":3582},[178],{"categories":3584},[],{"categories":3586},[79],{"categories":3588},[79],{"categories":3590},[79],{"categories":3592},[190],{"categories":3594},[],{"categories":3596},[131],{"categories":3598},[199],{"categories":3600},[79],{"categories":3602},[149],{"categories":3604},[199],{"categories":3606},[131],{"categories":3608},[126],{"categories":3610},[126],{"categories":3612},[79],{"categories":3614},[79],{"categories":3616},[123],{"categories":3618},[],{"categories":3620},[131],{"categories":3622},[79],{"categories":3624},[],{"categories":3626},[123],{"categories":3628},[79],{"categories":3630},[131],{"categories":3632},[131],{"categories":3634},[],{"categories":3636},[190],{"categories":3638},[190],{"categories":3640},[199],{"categories":3642},[178],{"categories":3644},[],{"categories":3646},[79],{"categories":3648},[131],{"categories":3650},[123],{"categories":3652},[79],{"categories":3654},[190],{"categories":3656},[123],{"categories":3658},[149],{"categories":3660},[149],{"categories":3662},[],{"categories":3664},[149],{"categories":3666},[131],{"categories":3668},[178],{"categories":3670},[181],{"categories":3672},[79],{"categories":3674},[],{"categories":3676},[149],{"categories":3678},[190],{"categories":3680},[79],{"categories":3682},[126],{"categories":3684},[79],{"categories":3686},[123],{"categories":3688},[224],{"categories":3690},[123],{"categories":3692},[],{"categories":3694},[],{"categories":3696},[131],{"categories":3698},[149],{"categories":3700},[],{"categories":3702},[131],{"categories":3704},[131],{"categories":3706},[131],{"categories":3708},[],{"categories":3710},[79],{"categories":3712},[],{"categories":3714},[149],{"categories":3716},[123],{"categories":3718},[178],{"categories":3720},[79],{"categories":3722},[149],{"categories":3724},[79],{"categories":3726},[149],{"categories":3728},[],{"categories":3730},[149],{"categories":3732},[123],{"categories":3734},[131],{"categories":3736},[79],{"categories":3738},[],{"categories":3740},[190],{"categories":3742},[131],{"categories":3744},[131],{"categories":3746},[123],{"categories":3748},[],{"categories":3750},[],{"categories":3752},[],{"categories":3754},[178],{"categories":3756},[131],{"categories":3758},[79],{"categories":3760},[],{"categories":3762},[],{"categories":3764},[],{"categories":3766},[178],{"categories":3768},[],{"categories":3770},[79],{"categories":3772},[123],{"categories":3774},[],{"categories":3776},[],{"categories":3778},[178],{"categories":3780},[79],{"categories":3782},[149],{"categories":3784},[],{"categories":3786},[199],{"categories":3788},[149],{"categories":3790},[199],{"categories":3792},[181],{"categories":3794},[79],{"categories":3796},[79],{"categories":3798},[],{"categories":3800},[],{"categories":3802},[131],{"categories":3804},[],{"categories":3806},[],{"categories":3808},[131],{"categories":3810},[79],{"categories":3812},[],{"categories":3814},[131],{"categories":3816},[149],{"categories":3818},[79],{"categories":3820},[199],{"categories":3822},[79],{"categories":3824},[181],{"categories":3826},[131],{"categories":3828},[131],{"categories":3830},[],{"categories":3832},[],{"categories":3834},[],{"categories":3836},[149],{"categories":3838},[],{"categories":3840},[],{"categories":3842},[178],{"categories":3844},[123],{"categories":3846},[],{"categories":3848},[126],{"categories":3850},[199],{"categories":3852},[79],{"categories":3854},[190],{"categories":3856},[123],{"categories":3858},[181],{"categories":3860},[126],{"categories":3862},[190],{"categories":3864},[190],{"categories":3866},[],{"categories":3868},[79],{"categories":3870},[],{"categories":3872},[131],{"categories":3874},[123],{"categories":3876},[178],{"categories":3878},[123],{"categories":3880},[131],{"categories":3882},[224],{"categories":3884},[79],{"categories":3886},[123],{"categories":3888},[131],{"categories":3890},[],{"categories":3892},[79],{"categories":3894},[190],{"categories":3896},[149],{"categories":3898},[190],{"categories":3900},[79],{"categories":3902},[],{"categories":3904},[178],{"categories":3906},[149],{"categories":3908},[123],{"categories":3910},[131],{"categories":3912},[79],{"categories":3914},[126],{"categories":3916},[131],{"categories":3918},[131,224],{"categories":3920},[131],{"categories":3922},[190],{"categories":3924},[79],{"categories":3926},[79],{"categories":3928},[181],{"categories":3930},[131],{"categories":3932},[199],{"categories":3934},[131],{"categories":3936},[],{"categories":3938},[131],{"categories":3940},[79],{"categories":3942},[126],{"categories":3944},[],{"categories":3946},[],{"categories":3948},[79],{"categories":3950},[181],{"categories":3952},[79],{"categories":3954},[],{"categories":3956},[149],{"categories":3958},[],{"categories":3960},[149],{"categories":3962},[190],{"categories":3964},[123],{"categories":3966},[190],{"categories":3968},[79],{"categories":3970},[131],{"categories":3972},[79],{"categories":3974},[79],{"categories":3976},[199],{"categories":3978},[190],{"categories":3980},[],{"categories":3982},[149],{"categories":3984},[79],{"categories":3986},[],{"categories":3988},[79],{"categories":3990},[79],{"categories":3992},[131],{"categories":3994},[79],{"categories":3996},[131],{"categories":3998},[79],{"categories":4000},[79],{"categories":4002},[79],{"categories":4004},[79],{"categories":4006},[126],{"categories":4008},[],{"categories":4010},[134],{"categories":4012},[149],{"categories":4014},[131],{"categories":4016},[79],{"categories":4018},[190],{"categories":4020},[],{"categories":4022},[190],{"categories":4024},[190],{"categories":4026},[79],{"categories":4028},[79],{"categories":4030},[79],{"categories":4032},[131],{"categories":4034},[149],{"categories":4036},[79],{"categories":4038},[79],{"categories":4040},[79],{"categories":4042},[126],{"categories":4044},[79],{"categories":4046},[131],{"categories":4048},[178],{"categories":4050},[],{"categories":4052},[181],{"categories":4054},[79],{"categories":4056},[],{"categories":4058},[149],{"categories":4060},[79],{"categories":4062},[199],{"categories":4064},[],{"categories":4066},[],{"categories":4068},[149],{"categories":4070},[149],{"categories":4072},[79],{"categories":4074},[199],{"categories":4076},[123],{"categories":4078},[131],{"categories":4080},[79],{"categories":4082},[131],{"categories":4084},[79],{"categories":4086},[126],{"categories":4088},[],{"categories":4090},[181],{"categories":4092},[],{"categories":4094},[149],{"categories":4096},[79],{"categories":4098},[181],{"categories":4100},[79],{"categories":4102},[190],{"categories":4104},[131],{"categories":4106},[178],{"categories":4108},[181],{"categories":4110},[181],{"categories":4112},[],{"categories":4114},[149],{"categories":4116},[79],{"categories":4118},[79],{"categories":4120},[190],{"categories":4122},[],{"categories":4124},[149],{"categories":4126},[149],{"categories":4128},[149],{"categories":4130},[],{"categories":4132},[131],{"categories":4134},[79],{"categories":4136},[],{"categories":4138},[123],{"categories":4140},[126],{"categories":4142},[],{"categories":4144},[79],{"categories":4146},[79],{"categories":4148},[],{"categories":4150},[190],{"categories":4152},[],{"categories":4154},[],{"categories":4156},[],{"categories":4158},[],{"categories":4160},[79],{"categories":4162},[149],{"categories":4164},[],{"categories":4166},[],{"categories":4168},[79],{"categories":4170},[79],{"categories":4172},[79],{"categories":4174},[181],{"categories":4176},[79],{"categories":4178},[181],{"categories":4180},[],{"categories":4182},[181],{"categories":4184},[181],{"categories":4186},[224],{"categories":4188},[131],{"categories":4190},[190],{"categories":4192},[],{"categories":4194},[],{"categories":4196},[181],{"categories":4198},[190],{"categories":4200},[190],{"categories":4202},[190],{"categories":4204},[],{"categories":4206},[123],{"categories":4208},[190],{"categories":4210},[190],{"categories":4212},[123],{"categories":4214},[190],{"categories":4216},[126],{"categories":4218},[190],{"categories":4220},[190],{"categories":4222},[190],{"categories":4224},[181],{"categories":4226},[149],{"categories":4228},[149],{"categories":4230},[79],{"categories":4232},[190],{"categories":4234},[181],{"categories":4236},[224],{"categories":4238},[181],{"categories":4240},[181],{"categories":4242},[181],{"categories":4244},[],{"categories":4246},[126],{"categories":4248},[],{"categories":4250},[224],{"categories":4252},[190],{"categories":4254},[190],{"categories":4256},[190],{"categories":4258},[131],{"categories":4260},[149,126],{"categories":4262},[181],{"categories":4264},[],{"categories":4266},[],{"categories":4268},[181],{"categories":4270},[],{"categories":4272},[181],{"categories":4274},[149],{"categories":4276},[131],{"categories":4278},[],{"categories":4280},[190],{"categories":4282},[79],{"categories":4284},[178],{"categories":4286},[],{"categories":4288},[79],{"categories":4290},[],{"categories":4292},[149],{"categories":4294},[123],{"categories":4296},[181],{"categories":4298},[],{"categories":4300},[190],{"categories":4302},[149],[4304,4368,4459,4551],{"id":4305,"title":4306,"ai":4307,"body":4312,"categories":4340,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":4341,"navigation":99,"path":4353,"published_at":4354,"question":80,"scraped_at":4355,"seo":4356,"sitemap":4357,"source_id":4358,"source_name":4359,"source_type":4360,"source_url":4361,"stem":4362,"tags":4363,"thumbnail_url":80,"tldr":4365,"tweet":80,"unknown_tags":4366,"__hash__":4367},"summaries\u002Fsummaries\u002Fe26d5f7326330d88-the-reality-of-rule-based-classification-why-most--summary.md","The Reality of Rule-Based Classification: Why Most Rules Never Fire",{"provider":7,"model":8,"input_tokens":4308,"output_tokens":4309,"processing_time_ms":4310,"cost_usd":4311},4083,578,3164,0.00188775,{"type":14,"value":4313,"toc":4335},[4314,4318,4321,4325,4328,4332],[17,4315,4317],{"id":4316},"the-fallacy-of-over-engineering-rules","The Fallacy of Over-Engineering Rules",[22,4319,4320],{},"When building a classifier for German visa sponsorship, the author initially implemented 46 distinct rules to categorize job listings. Upon auditing 1,679 real-world listings, it was discovered that only 14 of those rules ever triggered. The remaining 32 rules were essentially dead code—a classic case of 'premature optimization' where the developer's intuition about edge cases failed to align with the actual data distribution.",[17,4322,4324],{"id":4323},"embracing-unknown-as-a-feature","Embracing 'Unknown' as a Feature",[22,4326,4327],{},"The audit revealed that 98.57% of job listings were classified as 'unknown.' While this might seem like a failure, the author argues that this is actually a more honest and useful data product. By refusing to force a classification on ambiguous data, the system maintains high precision at the cost of recall. The 'unknown' label serves as a critical signal, preventing the user from making decisions based on false positives. This experience demonstrates that shipping a system that admits its own limitations is often more valuable than shipping a 'confident' but inaccurate model.",[17,4329,4331],{"id":4330},"data-driven-development-vs-intuition","Data-Driven Development vs. Intuition",[22,4333,4334],{},"The core lesson is that building classifiers requires a shift from 'writing rules' to 'measuring data.' The author's initial approach relied on assumptions about how job boards describe visa sponsorship. The reality of the federal job board data was far more sparse and ambiguous than expected. By measuring the actual utilization rate of each rule, the author was able to prune the codebase, simplify the logic, and gain a clearer understanding of the product's actual capabilities. The takeaway for builders is to ship early, measure the distribution of your outputs, and let the data dictate which rules are worth keeping.",{"title":72,"searchDepth":73,"depth":73,"links":4336},[4337,4338,4339],{"id":4316,"depth":73,"text":4317},{"id":4323,"depth":73,"text":4324},{"id":4330,"depth":73,"text":4331},[131],{"content_references":4342,"triage":4349},[4343,4346],{"type":86,"title":4344,"url":4345,"context":93},"germany-visa-jobs","https:\u002F\u002Fapify.com\u002Fcg_nguyen\u002Fgermany-visa-jobs",{"type":86,"title":4347,"url":4348,"context":93},"Apify","https:\u002F\u002Fapify.com",{"relevance":96,"novelty":4350,"quality":96,"actionability":96,"composite":4351,"reasoning":4352},3,3.8,"Category: AI & LLMs. The article discusses the practical implications of rule-based classification in AI, addressing the pain point of over-engineering and the importance of data-driven development. It provides actionable insights on measuring real-world data distribution to improve AI systems, which is directly relevant for product builders.","\u002Fsummaries\u002Fe26d5f7326330d88-the-reality-of-rule-based-classification-why-most-summary","2026-05-18 15:45:13","2026-05-18 19:00:33",{"title":4306,"description":72},{"loc":4353},"e26d5f7326330d88","Level Up Coding","article","https:\u002F\u002Flevelup.gitconnected.com\u002Fi-wrote-46-rules-for-a-german-job-visa-classifier-only-14-ever-fire-967a49fb46fc?source=rss----5517fd7b58a6---4","summaries\u002Fe26d5f7326330d88-the-reality-of-rule-based-classification-why-most--summary",[111,113,112,4364],"product-strategy","Building a rule-based classifier for German visa sponsorship revealed that 70% of written rules were dead code, highlighting the danger of over-engineering and the necessity of measuring real-world data distribution.",[],"IU-vZ8S-l-ZlbM8Hg6LC0Ys7GOuNx-owb6V7POEC9iQ",{"id":4369,"title":4370,"ai":4371,"body":4376,"categories":4436,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":4437,"navigation":99,"path":4445,"published_at":4446,"question":80,"scraped_at":4447,"seo":4448,"sitemap":4449,"source_id":4450,"source_name":4451,"source_type":4360,"source_url":4452,"stem":4453,"tags":4454,"thumbnail_url":80,"tldr":4456,"tweet":80,"unknown_tags":4457,"__hash__":4458},"summaries\u002Fsummaries\u002F0789c3cb074d0733-google-s-new-agentic-search-from-queries-to-contin-summary.md","Google's New Agentic Search: From Queries to Continuous Monitoring",{"provider":7,"model":8,"input_tokens":4372,"output_tokens":4373,"processing_time_ms":4374,"cost_usd":4375},6123,497,2651,0.00227625,{"type":14,"value":4377,"toc":4431},[4378,4382,4385,4389,4392,4424,4428],[17,4379,4381],{"id":4380},"the-shift-to-proactive-information-agents","The Shift to Proactive Information Agents",[22,4383,4384],{},"Google is moving away from the traditional \"query-response\" search model toward agentic systems that operate continuously in the background. These new information agents function as an evolution of the legacy Google Alerts service (launched in 2003), but with the ability to synthesize data, compare perspectives, and provide actionable insights rather than just delivering a list of links.",[17,4386,4388],{"id":4387},"capabilities-and-workflow","Capabilities and Workflow",[22,4390,4391],{},"These agents are designed to handle ongoing tasks that previously required manual, repetitive searching. Key features include:",[4393,4394,4395,4401,4407,4418],"ul",{},[41,4396,4397,4400],{},[44,4398,4399],{},"Continuous Monitoring:"," Agents track specific interests—such as stock market trends, flight prices, sports scores, or job market shifts—24\u002F7.",[41,4402,4403,4406],{},[44,4404,4405],{},"Synthesis and Analysis:"," Instead of raw search results, agents summarize news, explain the significance of events, and aggregate data from multiple sources.",[41,4408,4409,4412,4413,4417],{},[44,4410,4411],{},"User Interaction:"," Users initiate these agents via \"AI Mode\" in Search by providing a natural language prompt (e.g., \"Keep me updated on nearby movie tickets for ",[4414,4415,4416],"span",{},"Title","\").",[41,4419,4420,4423],{},[44,4421,4422],{},"Management:"," Users receive push notifications for relevant updates and can manage, refine, or deactivate their tracked topics through an AI Mode history interface.",[17,4425,4427],{"id":4426},"broader-search-redesign","Broader Search Redesign",[22,4429,4430],{},"This agentic rollout is part of a larger overhaul of Google Search, described as the most significant change in over 25 years. The update includes a \"reimagined\" intelligent search box designed to handle longer, conversational queries and a new AI-powered suggestion system that provides context-aware search refinement. The information agents are scheduled for a summer release, initially available to Google AI Pro and Ultra subscribers in the U.S. before expanding to other markets.",{"title":72,"searchDepth":73,"depth":73,"links":4432},[4433,4434,4435],{"id":4380,"depth":73,"text":4381},{"id":4387,"depth":73,"text":4388},{"id":4426,"depth":73,"text":4427},[79],{"content_references":4438,"triage":4442},[4439],{"type":4440,"title":4441,"context":93},"event","Google I\u002FO 2026",{"relevance":4350,"novelty":4350,"quality":96,"actionability":73,"composite":4443,"reasoning":4444},3.05,"Category: AI & LLMs. The article discusses Google's new agentic search system, which maps to the AI & LLMs category by detailing how AI agents can automate information retrieval. However, it lacks specific actionable steps for the audience to implement these insights in their own product development.","\u002Fsummaries\u002F0789c3cb074d0733-google-s-new-agentic-search-from-queries-to-contin-summary","2026-05-19 21:16:25","2026-05-19 23:00:23",{"title":4370,"description":72},{"loc":4445},"0789c3cb074d0733","TechCrunch — AI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F05\u002F19\u002Fhow-to-use-googles-new-ai-agents-to-go-beyond-your-standard-searches\u002F","summaries\u002F0789c3cb074d0733-google-s-new-agentic-search-from-queries-to-contin-summary",[111,4455,113],"agents","Google is evolving Search from a reactive tool into a proactive, agentic system that runs 24\u002F7, synthesizing information and providing actionable updates on user-defined topics.",[],"R-45p9WmTeZAUk7BH02KD6CUxiZKiPzkCqTvum1oKVs",{"id":4460,"title":4461,"ai":4462,"body":4468,"categories":4520,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":4521,"navigation":99,"path":4538,"published_at":4539,"question":80,"scraped_at":4540,"seo":4541,"sitemap":4542,"source_id":4543,"source_name":4544,"source_type":4360,"source_url":4545,"stem":4546,"tags":4547,"thumbnail_url":80,"tldr":4548,"tweet":80,"unknown_tags":4549,"__hash__":4550},"summaries\u002Fsummaries\u002F4e2dfa2c1aef8337-cli-for-simple-tasks-mcp-for-complex-gaps-in-ai-ag-summary.md","CLI for Simple Tasks, MCP for Complex Gaps in AI Agents",{"provider":7,"model":4463,"input_tokens":4464,"output_tokens":4465,"processing_time_ms":4466,"cost_usd":4467},"x-ai\u002Fgrok-4.1-fast",5745,1475,18328,0.001864,{"type":14,"value":4469,"toc":4515},[4470,4474,4493,4497,4508,4512],[17,4471,4473],{"id":4472},"cli-excels-for-familiar-token-light-developer-tasks","CLI Excels for Familiar, Token-Light Developer Tasks",[22,4475,4476,4477,4480,4481,4484,4485,4488,4489,4492],{},"AI agents leverage CLI commands like ",[26,4478,4479],{},"cat notes.md"," to read files or ",[26,4482,4483],{},"grep -n agent *.md"," to search them because models are pre-trained on millions of CLI examples from Stack Overflow and man pages—no schema needed, saving context window space. For Git, agents run ",[26,4486,4487],{},"git log --oneline -10"," or ",[26,4490,4491],{},"git status"," directly, composing via pipes (e.g., chaining in one line) for efficiency. This avoids MCP's overhead: a file system MCP server loads 13 tools (2 used, ~2,000 tokens), while GitHub MCP injects 80 tools (~55,000 tokens), burning API costs even for 1-2 calls. Result: CLI completes simple ops compactly without lookup, ideal when raw commands map directly to jobs like text processing or scripts.",[17,4494,4496],{"id":4495},"mcp-shines-on-abstractions-auth-and-organizational-controls","MCP Shines on Abstractions, Auth, and Organizational Controls",[22,4498,4499,4500,4503,4504,4507],{},"MCP provides structured tools via servers (name, English description, JSON schema) for gaps CLI can't bridge. Fetching a Next.js page (modelcontextprotocol.io) via CLI starts with ",[26,4501,4502],{},"curl -s URL | head -200",", yielding JS bundles and skeletons—agents then chain text tools, parse JSON fragments, or write Python to reverse-engineer streaming (2,000+ tokens, minutes, heavy local compute). MCP's Fetcher server (headless browser) uses one ",[26,4505,4506],{},"fetch_url"," call: renders JS, extracts text (250 tokens, seconds). MCP servers handle auth (OAuth, token refresh, channel IDs for Slack\u002FNotion\u002FDBs) server-side, not agent-managed. Organizationally, MCP enables per-user access, no shared creds, audit trails—impossible to retrofit on CLI.",[17,4509,4511],{"id":4510},"hybrid-strategy-let-agents-pick-cli-or-mcp-per-task","Hybrid Strategy: Let Agents Pick CLI or MCP Per Task",[22,4513,4514],{},"Agents mix both: CLI for baked-in knowledge (files, Git), MCP for value-added layers. Prompt to specify or let agent decide—if it reverse-engineers JS frameworks, wrong choice. Scales to real workflows without bloating context upfront.",{"title":72,"searchDepth":73,"depth":73,"links":4516},[4517,4518,4519],{"id":4472,"depth":73,"text":4473},{"id":4495,"depth":73,"text":4496},{"id":4510,"depth":73,"text":4511},[79],{"content_references":4522,"triage":4536},[4523,4526,4530,4532,4534],{"type":86,"title":4524,"url":4525,"context":93},"MCP","https:\u002F\u002Fibm.biz\u002F~92j1qki7Y",{"type":4527,"title":4528,"url":4529,"context":93},"other","modelcontextprotocol.io","https:\u002F\u002Fmodelcontextprotocol.io",{"type":86,"title":4531,"context":93},"File system MCP server",{"type":86,"title":4533,"context":93},"GitHub MCP server",{"type":86,"title":4535,"context":93},"Fetcher MCP server",{"relevance":95,"novelty":96,"quality":96,"actionability":96,"composite":97,"reasoning":4537},"Category: AI Automation. The article provides a detailed comparison of using CLI and MCP for different tasks in AI agents, addressing practical applications that developers can implement. It offers specific examples of commands and their efficiencies, making it actionable for those looking to optimize their AI workflows.","\u002Fsummaries\u002F4e2dfa2c1aef8337-cli-for-simple-tasks-mcp-for-complex-gaps-in-ai-ag-summary","2026-05-04 11:01:07","2026-05-04 16:07:55",{"title":4461,"description":72},{"loc":4538},"66ad3b630dfbfbe0","IBM Technology","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=g9JIUM0MHgQ","summaries\u002F4e2dfa2c1aef8337-cli-for-simple-tasks-mcp-for-complex-gaps-in-ai-ag-summary",[4455,111,113],"Use CLI for token-efficient tasks like file ops and Git that models know from training; switch to MCP for abstractions like JS rendering, auth, and governance needs. Agents should choose both dynamically.",[],"8MfX8T2lVBg7fRXDlOWGQD5tGN4Qr1V93at_KfeqQQI",{"id":4552,"title":4553,"ai":4554,"body":4559,"categories":4655,"created_at":80,"date_modified":80,"description":72,"extension":81,"faq":80,"featured":82,"kicker_label":80,"meta":4656,"navigation":99,"path":4672,"published_at":4673,"question":80,"scraped_at":4674,"seo":4675,"sitemap":4676,"source_id":4677,"source_name":4678,"source_type":4360,"source_url":4679,"stem":4680,"tags":4681,"thumbnail_url":80,"tldr":4683,"tweet":80,"unknown_tags":4684,"__hash__":4685},"summaries\u002Fsummaries\u002Faaedb2dcbeaee678-void-erases-video-objects-while-rewriting-physics-summary.md","VOID Erases Video Objects While Rewriting Physics",{"provider":7,"model":4463,"input_tokens":4555,"output_tokens":4556,"processing_time_ms":4557,"cost_usd":4558},6420,2132,20274,0.00232765,{"type":14,"value":4560,"toc":4649},[4561,4565,4568,4571,4574,4577,4581,4584,4587,4591,4601,4621,4624,4628,4634,4640,4646],[17,4562,4564],{"id":4563},"voids-two-pass-pipeline-fixes-ghost-interactions","VOID's Two-Pass Pipeline Fixes Ghost Interactions",[22,4566,4567],{},"Standard video inpainting tools erase objects like watermarks or static people by filling pixels from surroundings, but they ignore physics, leaving artifacts like spinning blenders or falling pins without cause. VOID counters this by reimagining a 'counterfactual reality' where the object never existed.",[22,4569,4570],{},"First pass: Reasoning. A vision-language model (VLM) paired with SAM 2 (Segment Anything Model 2) tracks the target pixel-perfectly and predicts causal effects—e.g., removing one domino flags affected chain reactions. This generates a 'quad mask' expanding beyond the object to map physics rewrite zones.",[22,4572,4573],{},"Second pass: Generation and refinement. A video diffusion model inpaints using the quad mask. To prevent morphing or dreaminess, an optional flow warp noise step locks remaining objects' shapes and consistency. Prompts focus on the desired scene without mentioning the removed object, e.g., 'fighter in dark kimono in gym' instead of referencing the erased white-kimono fighter.",[22,4575,4576],{},"Trade-off: Works best for simple interactions; complex dynamics like fights produce ghost-like remnants because physics simulation can't fully rewrite human behavior.",[17,4578,4580],{"id":4579},"training-on-synthetic-physics-simulations","Training on Synthetic Physics Simulations",[22,4582,4583],{},"Real-world data lacks 'unhappened' events, so Netflix\u002FInsight trained VOID on synthetic environments like Kubric. Run thousands of physics sims: one with object collision (before\u002Fafter), one without. AI learns object presence → environmental impact mappings. This teaches cause-effect without filming impossibilities like 'uncrashed cars.'",[22,4585,4586],{},"Outcome: VOID generalizes to real videos, handling interactions better than pixel-fill alone, but requires precise segmentation and prompts for optimal masks.",[17,4588,4590],{"id":4589},"streamlined-setup-with-custom-web-app","Streamlined Setup with Custom Web App",[22,4592,4593,4594,4600],{},"Raw GitHub repo (",[4595,4596,4597],"a",{"href":4597,"rel":4598},"https:\u002F\u002Fgithub.com\u002FNetflix\u002Fvoid-model",[4599],"nofollow",") has gaps: undocumented SAM 3 needs, strict 'quad_mask_0.mpp4' naming, no built-in GUI for masking. Fix by deploying on Runpod H100 GPU pod (100GB container, port 8998):",[38,4602,4603,4611,4618],{},[41,4604,4605,4606,4610],{},"SSH, clone ",[4595,4607,4608],{"href":4608,"rel":4609},"https:\u002F\u002Fgithub.com\u002Fandrisgauracs\u002Fnetflix-void-web-app",[4599],".",[41,4612,4613,4614,4617],{},"Run ",[26,4615,4616],{},"run.sh"," with Hugging Face token (for models), SAM 3 gated access, Gemini API key (pose estimation).",[41,4619,4620],{},"Access UI tabs: Segment (prompt + points for SAM 2 mask), Inference (counterfactual prompt), Results (view + optional second-pass refinement).",[22,4622,4623],{},"This automates workflow: upload video → mask → infer → refine. Speeds testing from hours of CLI debugging to minutes, but demands beefy GPU (H100 recommended) and API approvals.",[17,4625,4627],{"id":4626},"test-results-strengths-in-motion-weak-in-combat","Test Results: Strengths in Motion, Weak in Combat",[22,4629,4630,4633],{},[44,4631,4632],{},"Matrix fight (remove Neo):"," Morpheus punches air\u002Fghost; hand inconsistencies persist post-refinement. Fails to make opponent static—can't invent idle behavior.",[22,4635,4636,4639],{},[44,4637,4638],{},"La La Land dance (remove Emma Stone):"," Near-flawless. Ryan Gosling dances solo seamlessly, even through occlusions; minor artifacts only. Best result—proves strength in rhythmic, predictable motion.",[22,4641,4642,4645],{},[44,4643,4644],{},"Titanic bow (remove Jack):"," Kate stands alone convincingly, but arm artifacts and morphing face create uncanny valley. User error in segmentation left hand remnants; highlights need precise points.",[22,4647,4648],{},"Overall: Delivers on physics rewrite for 2\u002F3 tests, but artifacts in occlusion\u002Fcomplexity. Future: Netflix interactive narratives like Bandersnatch, user-driven edits. Use for VFX cleanup, personalized video—test your clips to gauge fit.",{"title":72,"searchDepth":73,"depth":73,"links":4650},[4651,4652,4653,4654],{"id":4563,"depth":73,"text":4564},{"id":4579,"depth":73,"text":4580},{"id":4589,"depth":73,"text":4590},{"id":4626,"depth":73,"text":4627},[79],{"content_references":4657,"triage":4669},[4658,4660,4663,4665,4667],{"type":86,"title":4659,"url":4597,"context":93},"VOID Model",{"type":86,"title":4661,"author":4662,"url":4608,"context":89},"Netflix VOID Web App","andrisgauracs",{"type":86,"title":4664,"context":93},"SAM 2",{"type":86,"title":4666,"context":93},"Kubri",{"type":86,"title":4668,"context":93},"Runpod",{"relevance":4350,"novelty":96,"quality":96,"actionability":73,"composite":4670,"reasoning":4671},3.25,"Category: AI & LLMs. The article discusses a novel AI model, VOID, that addresses specific challenges in video inpainting, presenting new insights into its two-pass pipeline. However, while it offers interesting technical details, it lacks actionable steps for implementation, making it less practical for the target audience.","\u002Fsummaries\u002Faaedb2dcbeaee678-void-erases-video-objects-while-rewriting-physics-summary","2026-04-30 00:00:06","2026-05-03 16:47:32",{"title":4553,"description":72},{"loc":4672},"3079cb563e1445cf","Better Stack","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=1yj46x45-QI","summaries\u002Faaedb2dcbeaee678-void-erases-video-objects-while-rewriting-physics-summary",[111,4682,113],"machine-learning","Netflix's open-source VOID model uses a two-pass pipeline—reasoning with VLM + SAM 2 for quad masks, then diffusion generation—to remove objects and simulate counterfactual scenes without ghost interactions, excelling in dance but struggling with fights.",[],"l2XwaDAjEp0WHBS3Kq1I7fgGc5D7P8lZUxAnSoZaC5c"]