[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-6e0d96342ee641a1-the-art-science-of-benchmarking-ai-agents-summary":3,"summaries-facets-categories":173,"summary-related-6e0d96342ee641a1-the-art-science-of-benchmarking-ai-agents-summary":4704},{"id":4,"title":5,"ai":6,"body":13,"categories":116,"created_at":118,"date_modified":118,"description":110,"extension":119,"faq":118,"featured":120,"kicker_label":118,"meta":121,"navigation":152,"path":153,"published_at":154,"question":118,"scraped_at":155,"seo":156,"sitemap":157,"source_id":158,"source_name":159,"source_type":160,"source_url":161,"stem":162,"tags":163,"thumbnail_url":168,"tldr":169,"tweet":170,"unknown_tags":171,"__hash__":172},"summaries\u002Fsummaries\u002F6e0d96342ee641a1-the-art-science-of-benchmarking-ai-agents-summary.md","The Art & Science of Benchmarking AI Agents",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",8202,995,5199,0.003543,{"type":14,"value":15,"toc":109},"minimark",[16,21,25,54,58,61,81,85,88],[17,18,20],"h2",{"id":19},"the-science-of-effective-benchmarks","The Science of Effective Benchmarks",[22,23,24],"p",{},"To build a benchmark that actually shapes the field, builders must move beyond simple accuracy metrics and focus on four empirical pillars:",[26,27,28,36,42,48],"ul",{},[29,30,31,35],"li",{},[32,33,34],"strong",{},"Individual Task Quality:"," Tasks must be rigorously validated, well-posed, and tractable for experts. The author highlights GPQA for its adversarial quality control, where multi-expert protocols and incentive mechanisms ensure tasks are not just difficult, but correctly structured.",[29,37,38,41],{},[32,39,40],{},"Distributional Diversity:"," A benchmark is only as good as its coverage. Builders should define a clear taxonomy of the domain and intentionally distribute tasks across it, including rare but critical failure modes. MMLU is cited as a gold standard for its intentional taxonomy across 57 domains.",[29,43,44,47],{},[32,45,46],{},"Model Headroom:"," Benchmarks must remain unsaturated to effectively separate frontier models. The ARC Prize is highlighted as a model for this, as it consistently exposes the gap between human reasoning and model capabilities, reliably predicting leaps in model performance.",[29,49,50,53],{},[32,51,52],{},"Robust Eval Methodology:"," Evaluation must capture real-world constraints beyond simple completion. The author points to ToW-Bench, which evaluates agents not just on task success, but on adherence to policy constraints (e.g., failing a flight booking if it violates class rules).",[17,55,57],{"id":56},"the-art-of-shaping-the-frontier","The Art of Shaping the Frontier",[22,59,60],{},"Beyond empirical rigor, the most influential benchmarks act as strategic bets that guide the research community:",[26,62,63,69,75],{},[29,64,65,68],{},[32,66,67],{},"Thesis-Driven Design:"," Great benchmarks represent a bet on where the field is going. Terminal Bench, for example, was a bet that the CLI would become a primary interface for agents—a bet that has since been validated by the industry.",[29,70,71,74],{},[32,72,73],{},"Roadmap Generation:"," A successful benchmark spawns a family of research. SWE-bench is praised for its simplicity and its ability to inspire a new generation of coding-agent benchmarks (e.g., light, verified, multimodal versions), creating a clear path for future innovation.",[29,76,77,80],{},[32,78,79],{},"Researcher UX:"," This is a severely underrated factor. If a benchmark is difficult to run, extend, or use for RL\u002Ffine-tuning, it will not be adopted. Building standardized harnesses (like HELM or Harbor) is essential for ensuring that the community can easily hill-climb against the benchmark.",[17,82,84],{"id":83},"the-next-generation-of-benchmarks","The Next Generation of Benchmarks",[22,86,87],{},"To push the frontier further, the author proposes three new axes for future benchmark development:",[89,90,91,97,103],"ol",{},[29,92,93,96],{},[32,94,95],{},"Environment Complexity:"," Moving beyond isolated tasks to represent real-world \"messiness,\" such as organizational policies, flaky toolchains, and multi-modal context.",[29,98,99,102],{},[32,100,101],{},"Autonomy Horizon:"," Measuring reliability over long-term, multi-week interactions where context shifts, requirements change, and state management becomes the primary challenge.",[29,104,105,108],{},[32,106,107],{},"Output Complexity:"," Expanding evaluation beyond text to include nuanced reward signals and diverse artifacts that reflect actual professional workflows.",{"title":110,"searchDepth":111,"depth":111,"links":112},"",2,[113,114,115],{"id":19,"depth":111,"text":20},{"id":56,"depth":111,"text":57},{"id":83,"depth":111,"text":84},[117],"AI & LLMs",null,"md",false,{"content_references":122,"triage":147},[123,128,131,135,138,141,144],{"type":124,"title":125,"url":126,"context":127},"tool","GPQA","https:\u002F\u002Fgithub.com\u002Fidavidrein\u002Fgpqa","recommended",{"type":124,"title":129,"url":130,"context":127},"ARC Prize","https:\u002F\u002Farcprize.org\u002F",{"type":124,"title":132,"url":133,"context":134},"MMLU","https:\u002F\u002Fgithub.com\u002Fhendrycks\u002Ftest","mentioned",{"type":124,"title":136,"url":137,"context":127},"ToW-Bench","https:\u002F\u002Fgithub.com\u002Ftow-bench\u002Ftow-bench",{"type":124,"title":139,"url":140,"context":127},"Terminal Bench","https:\u002F\u002Fterminal-bench.github.io\u002F",{"type":124,"title":142,"url":143,"context":127},"SWE-bench","https:\u002F\u002Fwww.swebench.com\u002F",{"type":124,"title":145,"url":146,"context":127},"HELM","https:\u002F\u002Fcrfm.stanford.edu\u002Fhelm\u002Flatest\u002F",{"relevance":148,"novelty":148,"quality":148,"actionability":149,"composite":150,"reasoning":151},4,3,3.8,"Category: AI & LLMs. The article discusses effective benchmarking for AI agents, which is crucial for builders looking to evaluate and improve AI capabilities. It provides specific empirical pillars for creating benchmarks, addressing a pain point for developers needing practical evaluation methods.",true,"\u002Fsummaries\u002F6e0d96342ee641a1-the-art-science-of-benchmarking-ai-agents-summary","2026-06-04 16:00:06","2026-06-06 16:08:56",{"title":5,"description":110},{"loc":153},"6e0d96342ee641a1","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=iNkFlCiij0U","summaries\u002F6e0d96342ee641a1-the-art-science-of-benchmarking-ai-agents-summary",[164,165,166,167],"agents","research","ai-llms","evaluation","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FiNkFlCiij0U\u002Fhqdefault.jpg","Effective AI benchmarks are not just snapshots of current performance; they are strategic tools that define future capabilities, require rigorous task quality, and prioritize researcher UX to drive field-wide progress.","This talk outlines a framework for designing AI benchmarks, drawing on lessons from reviewing over 120 grant applications at [Snorkel AI](https:\u002F\u002Fsnorkel.ai). The speaker argues that effective benchmarks require both scientific rigor—focusing on task quality, distributional diversity, and model headroom—and an artistic \"thesis\" that anticipates future capabilities rather than just measuring current ones.",[166,167],"ZEgYR3dr9isWQwq1xAh-EB-r4KoE5sMBD19yp8pCfJw",[174,177,180,182,185,188,190,192,194,196,198,200,203,205,207,209,211,213,215,217,219,221,223,225,227,229,232,235,237,239,241,243,246,248,250,252,255,257,259,261,263,265,267,269,271,273,275,277,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702],{"categories":175},[176],"Developer Productivity",{"categories":178},[179],"Business & SaaS",{"categories":181},[117],{"categories":183},[184],"AI Automation",{"categories":186},[187],"Product Strategy",{"categories":189},[117],{"categories":191},[176],{"categories":193},[179],{"categories":195},[],{"categories":197},[117],{"categories":199},[],{"categories":201},[202],"AI News & Trends",{"categories":204},[184],{"categories":206},[184],{"categories":208},[202],{"categories":210},[184],{"categories":212},[184],{"categories":214},[184],{"categories":216},[117],{"categories":218},[117],{"categories":220},[117],{"categories":222},[202],{"categories":224},[117],{"categories":226},[117],{"categories":228},[],{"categories":230},[231],"Design & Frontend",{"categories":233},[234],"Data Science & Visualization",{"categories":236},[202],{"categories":238},[117],{"categories":240},[],{"categories":242},[117],{"categories":244},[245],"Software Engineering",{"categories":247},[117],{"categories":249},[184],{"categories":251},[117],{"categories":253},[254],"Marketing & Growth",{"categories":256},[231],{"categories":258},[117],{"categories":260},[184],{"categories":262},[],{"categories":264},[],{"categories":266},[231],{"categories":268},[184],{"categories":270},[176],{"categories":272},[245],{"categories":274},[231],{"categories":276},[117],{"categories":278},[279],"DevOps & Cloud",{"categories":281},[184],{"categories":283},[202],{"categories":285},[117],{"categories":287},[],{"categories":289},[],{"categories":291},[184],{"categories":293},[245],{"categories":295},[],{"categories":297},[179],{"categories":299},[],{"categories":301},[],{"categories":303},[117],{"categories":305},[184],{"categories":307},[117],{"categories":309},[117],{"categories":311},[184],{"categories":313},[117],{"categories":315},[117],{"categories":317},[117],{"categories":319},[],{"categories":321},[245],{"categories":323},[],{"categories":325},[],{"categories":327},[245],{"categories":329},[],{"categories":331},[245],{"categories":333},[117],{"categories":335},[117],{"categories":337},[254],{"categories":339},[231],{"categories":341},[231],{"categories":343},[117],{"categories":345},[245],{"categories":347},[184],{"categories":349},[245],{"categories":351},[117],{"categories":353},[117],{"categories":355},[184],{"categories":357},[184],{"categories":359},[234],{"categories":361},[202],{"categories":363},[184],{"categories":365},[184],{"categories":367},[254],{"categories":369},[184],{"categories":371},[187],{"categories":373},[245],{"categories":375},[],{"categories":377},[184],{"categories":379},[],{"categories":381},[184],{"categories":383},[245],{"categories":385},[279],{"categories":387},[231],{"categories":389},[117],{"categories":391},[],{"categories":393},[245],{"categories":395},[117],{"categories":397},[],{"categories":399},[184],{"categories":401},[],{"categories":403},[117],{"categories":405},[],{"categories":407},[176],{"categories":409},[245],{"categories":411},[179],{"categories":413},[117],{"categories":415},[117],{"categories":417},[202],{"categories":419},[117],{"categories":421},[],{"categories":423},[117],{"categories":425},[],{"categories":427},[245],{"categories":429},[234],{"categories":431},[],{"categories":433},[117],{"categories":435},[231],{"categories":437},[],{"categories":439},[231],{"categories":441},[184],{"categories":443},[],{"categories":445},[117],{"categories":447},[117],{"categories":449},[184],{"categories":451},[202],{"categories":453},[179],{"categories":455},[117],{"categories":457},[],{"categories":459},[245],{"categories":461},[184],{"categories":463},[117],{"categories":465},[187],{"categories":467},[],{"categories":469},[117],{"categories":471},[187],{"categories":473},[184],{"categories":475},[117],{"categories":477},[184],{"categories":479},[],{"categories":481},[234],{"categories":483},[117],{"categories":485},[],{"categories":487},[176],{"categories":489},[117],{"categories":491},[179],{"categories":493},[117],{"categories":495},[184],{"categories":497},[117],{"categories":499},[117],{"categories":501},[245],{"categories":503},[117],{"categories":505},[],{"categories":507},[],{"categories":509},[117],{"categories":511},[117],{"categories":513},[],{"categories":515},[231],{"categories":517},[],{"categories":519},[117],{"categories":521},[],{"categories":523},[184],{"categories":525},[117],{"categories":527},[231],{"categories":529},[],{"categories":531},[117],{"categories":533},[117],{"categories":535},[179],{"categories":537},[184],{"categories":539},[117],{"categories":541},[117],{"categories":543},[231],{"categories":545},[184],{"categories":547},[],{"categories":549},[184],{"categories":551},[],{"categories":553},[202],{"categories":555},[],{"categories":557},[117],{"categories":559},[179,254],{"categories":561},[],{"categories":563},[117],{"categories":565},[184],{"categories":567},[],{"categories":569},[],{"categories":571},[231],{"categories":573},[117],{"categories":575},[],{"categories":577},[117],{"categories":579},[279],{"categories":581},[],{"categories":583},[202],{"categories":585},[231],{"categories":587},[],{"categories":589},[202],{"categories":591},[117],{"categories":593},[184],{"categories":595},[202],{"categories":597},[117],{"categories":599},[254],{"categories":601},[],{"categories":603},[179],{"categories":605},[245],{"categories":607},[117],{"categories":609},[184],{"categories":611},[],{"categories":613},[117,279],{"categories":615},[117],{"categories":617},[117],{"categories":619},[117],{"categories":621},[184],{"categories":623},[117,245],{"categories":625},[234],{"categories":627},[117],{"categories":629},[245],{"categories":631},[254],{"categories":633},[184],{"categories":635},[117],{"categories":637},[184],{"categories":639},[],{"categories":641},[184],{"categories":643},[117],{"categories":645},[117,179],{"categories":647},[179],{"categories":649},[],{"categories":651},[231],{"categories":653},[231],{"categories":655},[],{"categories":657},[],{"categories":659},[202],{"categories":661},[],{"categories":663},[176],{"categories":665},[117],{"categories":667},[245],{"categories":669},[117],{"categories":671},[231],{"categories":673},[184],{"categories":675},[245],{"categories":677},[202],{"categories":679},[231],{"categories":681},[],{"categories":683},[117],{"categories":685},[117],{"categories":687},[117],{"categories":689},[117],{"categories":691},[117],{"categories":693},[117],{"categories":695},[202],{"categories":697},[176],{"categories":699},[117],{"categories":701},[184],{"categories":703},[279],{"categories":705},[231],{"categories":707},[117],{"categories":709},[184],{"categories":711},[],{"categories":713},[],{"categories":715},[231],{"categories":717},[202],{"categories":719},[234],{"categories":721},[],{"categories":723},[117],{"categories":725},[117],{"categories":727},[179],{"categories":729},[117],{"categories":731},[117],{"categories":733},[117],{"categories":735},[202],{"categories":737},[231],{"categories":739},[],{"categories":741},[184],{"categories":743},[245],{"categories":745},[],{"categories":747},[117],{"categories":749},[117],{"categories":751},[184],{"categories":753},[245],{"categories":755},[117],{"categories":757},[],{"categories":759},[],{"categories":761},[117],{"categories":763},[],{"categories":765},[187],{"categories":767},[179],{"categories":769},[184],{"categories":771},[184],{"categories":773},[],{"categories":775},[176],{"categories":777},[117],{"categories":779},[179],{"categories":781},[202],{"categories":783},[176],{"categories":785},[],{"categories":787},[117],{"categories":789},[],{"categories":791},[],{"categories":793},[202],{"categories":795},[202],{"categories":797},[],{"categories":799},[231],{"categories":801},[245],{"categories":803},[],{"categories":805},[179],{"categories":807},[],{"categories":809},[],{"categories":811},[176],{"categories":813},[],{"categories":815},[254],{"categories":817},[184],{"categories":819},[179],{"categories":821},[184],{"categories":823},[245],{"categories":825},[],{"categories":827},[187],{"categories":829},[231],{"categories":831},[245],{"categories":833},[117],{"categories":835},[184],{"categories":837},[179],{"categories":839},[117],{"categories":841},[],{"categories":843},[],{"categories":845},[245],{"categories":847},[234],{"categories":849},[187],{"categories":851},[184],{"categories":853},[117],{"categories":855},[],{"categories":857},[202],{"categories":859},[279],{"categories":861},[],{"categories":863},[184],{"categories":865},[],{"categories":867},[176],{"categories":869},[],{"categories":871},[117],{"categories":873},[117],{"categories":875},[231],{"categories":877},[254],{"categories":879},[245],{"categories":881},[184],{"categories":883},[],{"categories":885},[245],{"categories":887},[176],{"categories":889},[],{"categories":891},[202],{"categories":893},[117,279],{"categories":895},[117],{"categories":897},[202],{"categories":899},[117],{"categories":901},[117],{"categories":903},[179],{"categories":905},[117],{"categories":907},[],{"categories":909},[117],{"categories":911},[179],{"categories":913},[117],{"categories":915},[],{"categories":917},[184],{"categories":919},[245],{"categories":921},[231],{"categories":923},[202],{"categories":925},[234],{"categories":927},[117],{"categories":929},[176],{"categories":931},[117],{"categories":933},[184],{"categories":935},[245],{"categories":937},[],{"categories":939},[],{"categories":941},[184],{"categories":943},[187],{"categories":945},[],{"categories":947},[117],{"categories":949},[],{"categories":951},[231],{"categories":953},[184],{"categories":955},[245],{"categories":957},[231],{"categories":959},[117],{"categories":961},[231],{"categories":963},[],{"categories":965},[],{"categories":967},[202],{"categories":969},[184],{"categories":971},[184],{"categories":973},[117],{"categories":975},[117],{"categories":977},[117],{"categories":979},[179],{"categories":981},[117],{"categories":983},[],{"categories":985},[245],{"categories":987},[245],{"categories":989},[179],{"categories":991},[],{"categories":993},[117],{"categories":995},[117],{"categories":997},[184],{"categories":999},[176],{"categories":1001},[179],{"categories":1003},[202],{"categories":1005},[184],{"categories":1007},[254],{"categories":1009},[117],{"categories":1011},[184],{"categories":1013},[],{"categories":1015},[231],{"categories":1017},[],{"categories":1019},[117],{"categories":1021},[117],{"categories":1023},[],{"categories":1025},[179],{"categories":1027},[184],{"categories":1029},[],{"categories":1031},[117],{"categories":1033},[279],{"categories":1035},[234],{"categories":1037},[245],{"categories":1039},[254],{"categories":1041},[117],{"categories":1043},[231],{"categories":1045},[117],{"categories":1047},[245],{"categories":1049},[184],{"categories":1051},[],{"categories":1053},[],{"categories":1055},[184],{"categories":1057},[176],{"categories":1059},[184],{"categories":1061},[187],{"categories":1063},[179],{"categories":1065},[],{"categories":1067},[117],{"categories":1069},[187],{"categories":1071},[117],{"categories":1073},[117],{"categories":1075},[117],{"categories":1077},[117],{"categories":1079},[254],{"categories":1081},[117],{"categories":1083},[117],{"categories":1085},[117],{"categories":1087},[231],{"categories":1089},[184],{"categories":1091},[],{"categories":1093},[],{"categories":1095},[279],{"categories":1097},[245],{"categories":1099},[],{"categories":1101},[184],{"categories":1103},[117],{"categories":1105},[231,117],{"categories":1107},[176],{"categories":1109},[],{"categories":1111},[117],{"categories":1113},[176],{"categories":1115},[231],{"categories":1117},[184],{"categories":1119},[245],{"categories":1121},[],{"categories":1123},[117],{"categories":1125},[],{"categories":1127},[],{"categories":1129},[117],{"categories":1131},[176],{"categories":1133},[117],{"categories":1135},[],{"categories":1137},[184],{"categories":1139},[187],{"categories":1141},[117],{"categories":1143},[117],{"categories":1145},[117],{"categories":1147},[231],{"categories":1149},[184],{"categories":1151},[279],{"categories":1153},[231],{"categories":1155},[179],{"categories":1157},[184],{"categories":1159},[117],{"categories":1161},[117],{"categories":1163},[117],{"categories":1165},[184],{"categories":1167},[245],{"categories":1169},[117],{"categories":1171},[187],{"categories":1173},[],{"categories":1175},[202],{"categories":1177},[],{"categories":1179},[187],{"categories":1181},[184],{"categories":1183},[231],{"categories":1185},[117],{"categories":1187},[117],{"categories":1189},[184],{"categories":1191},[245],{"categories":1193},[231],{"categories":1195},[184],{"categories":1197},[202],{"categories":1199},[],{"categories":1201},[117],{"categories":1203},[],{"categories":1205},[117],{"categories":1207},[117],{"categories":1209},[231],{"categories":1211},[117],{"categories":1213},[176],{"categories":1215},[202],{"categories":1217},[117],{"categories":1219},[117],{"categories":1221},[254],{"categories":1223},[117],{"categories":1225},[117],{"categories":1227},[184],{"categories":1229},[184],{"categories":1231},[117],{"categories":1233},[184],{"categories":1235},[184],{"categories":1237},[117],{"categories":1239},[117],{"categories":1241},[184],{"categories":1243},[231],{"categories":1245},[117],{"categories":1247},[117],{"categories":1249},[],{"categories":1251},[],{"categories":1253},[245],{"categories":1255},[],{"categories":1257},[176],{"categories":1259},[279],{"categories":1261},[117],{"categories":1263},[],{"categories":1265},[176],{"categories":1267},[179],{"categories":1269},[117],{"categories":1271},[254],{"categories":1273},[],{"categories":1275},[179],{"categories":1277},[],{"categories":1279},[117],{"categories":1281},[245],{"categories":1283},[],{"categories":1285},[],{"categories":1287},[],{"categories":1289},[],{"categories":1291},[117],{"categories":1293},[184],{"categories":1295},[279],{"categories":1297},[117],{"categories":1299},[176],{"categories":1301},[245],{"categories":1303},[117],{"categories":1305},[117],{"categories":1307},[245],{"categories":1309},[187],{"categories":1311},[117],{"categories":1313},[254],{"categories":1315},[179],{"categories":1317},[117],{"categories":1319},[117],{"categories":1321},[117],{"categories":1323},[117,176],{"categories":1325},[245],{"categories":1327},[245],{"categories":1329},[231],{"categories":1331},[184],{"categories":1333},[117],{"categories":1335},[117],{"categories":1337},[],{"categories":1339},[],{"categories":1341},[117],{"categories":1343},[],{"categories":1345},[245],{"categories":1347},[234],{"categories":1349},[202],{"categories":1351},[231],{"categories":1353},[117],{"categories":1355},[245],{"categories":1357},[],{"categories":1359},[117],{"categories":1361},[117],{"categories":1363},[],{"categories":1365},[184],{"categories":1367},[117],{"categories":1369},[117],{"categories":1371},[],{"categories":1373},[184],{"categories":1375},[117],{"categories":1377},[179],{"categories":1379},[],{"categories":1381},[176],{"categories":1383},[117],{"categories":1385},[176],{"categories":1387},[117],{"categories":1389},[245],{"categories":1391},[254],{"categories":1393},[184],{"categories":1395},[184],{"categories":1397},[117,231],{"categories":1399},[202],{"categories":1401},[117],{"categories":1403},[231],{"categories":1405},[],{"categories":1407},[245],{"categories":1409},[279],{"categories":1411},[231],{"categories":1413},[245],{"categories":1415},[117],{"categories":1417},[117],{"categories":1419},[184],{"categories":1421},[],{"categories":1423},[],{"categories":1425},[],{"categories":1427},[],{"categories":1429},[245],{"categories":1431},[184],{"categories":1433},[184],{"categories":1435},[279],{"categories":1437},[117],{"categories":1439},[117],{"categories":1441},[184],{"categories":1443},[117],{"categories":1445},[117],{"categories":1447},[],{"categories":1449},[231],{"categories":1451},[245],{"categories":1453},[],{"categories":1455},[],{"categories":1457},[184],{"categories":1459},[],{"categories":1461},[],{"categories":1463},[254],{"categories":1465},[254],{"categories":1467},[184],{"categories":1469},[245],{"categories":1471},[],{"categories":1473},[117],{"categories":1475},[117],{"categories":1477},[245],{"categories":1479},[231],{"categories":1481},[231],{"categories":1483},[117],{"categories":1485},[184],{"categories":1487},[176],{"categories":1489},[117],{"categories":1491},[117],{"categories":1493},[231],{"categories":1495},[231],{"categories":1497},[184],{"categories":1499},[184],{"categories":1501},[117],{"categories":1503},[],{"categories":1505},[117],{"categories":1507},[],{"categories":1509},[117],{"categories":1511},[184],{"categories":1513},[202],{"categories":1515},[245],{"categories":1517},[117],{"categories":1519},[176],{"categories":1521},[117],{"categories":1523},[],{"categories":1525},[184],{"categories":1527},[184],{"categories":1529},[],{"categories":1531},[117],{"categories":1533},[176],{"categories":1535},[117],{"categories":1537},[176],{"categories":1539},[176],{"categories":1541},[],{"categories":1543},[245],{"categories":1545},[],{"categories":1547},[184],{"categories":1549},[202],{"categories":1551},[117],{"categories":1553},[184],{"categories":1555},[117],{"categories":1557},[184],{"categories":1559},[117],{"categories":1561},[202],{"categories":1563},[234],{"categories":1565},[117],{"categories":1567},[187],{"categories":1569},[202],{"categories":1571},[231],{"categories":1573},[],{"categories":1575},[],{"categories":1577},[202],{"categories":1579},[],{"categories":1581},[],{"categories":1583},[],{"categories":1585},[],{"categories":1587},[245],{"categories":1589},[245],{"categories":1591},[234],{"categories":1593},[],{"categories":1595},[117],{"categories":1597},[117],{"categories":1599},[234],{"categories":1601},[245],{"categories":1603},[],{"categories":1605},[],{"categories":1607},[184],{"categories":1609},[184],{"categories":1611},[245],{"categories":1613},[184],{"categories":1615},[202],{"categories":1617},[202],{"categories":1619},[184],{"categories":1621},[184],{"categories":1623},[176],{"categories":1625},[117,279],{"categories":1627},[],{"categories":1629},[231],{"categories":1631},[245],{"categories":1633},[176],{"categories":1635},[184],{"categories":1637},[231],{"categories":1639},[],{"categories":1641},[184],{"categories":1643},[184],{"categories":1645},[184],{"categories":1647},[117],{"categories":1649},[254],{"categories":1651},[117],{"categories":1653},[245],{"categories":1655},[231],{"categories":1657},[117],{"categories":1659},[],{"categories":1661},[184],{"categories":1663},[231],{"categories":1665},[117],{"categories":1667},[184],{"categories":1669},[184],{"categories":1671},[184],{"categories":1673},[254],{"categories":1675},[234],{"categories":1677},[117],{"categories":1679},[184],{"categories":1681},[117],{"categories":1683},[],{"categories":1685},[254],{"categories":1687},[202],{"categories":1689},[245],{"categories":1691},[117],{"categories":1693},[184],{"categories":1695},[],{"categories":1697},[],{"categories":1699},[117],{"categories":1701},[184],{"categories":1703},[117],{"categories":1705},[202],{"categories":1707},[117],{"categories":1709},[184],{"categories":1711},[184],{"categories":1713},[],{"categories":1715},[117],{"categories":1717},[],{"categories":1719},[],{"categories":1721},[117],{"categories":1723},[184],{"categories":1725},[],{"categories":1727},[],{"categories":1729},[234],{"categories":1731},[117],{"categories":1733},[234],{"categories":1735},[202],{"categories":1737},[117],{"categories":1739},[117],{"categories":1741},[184],{"categories":1743},[117],{"categories":1745},[184],{"categories":1747},[],{"categories":1749},[],{"categories":1751},[279],{"categories":1753},[117],{"categories":1755},[],{"categories":1757},[],{"categories":1759},[176],{"categories":1761},[],{"categories":1763},[],{"categories":1765},[117],{"categories":1767},[],{"categories":1769},[],{"categories":1771},[245],{"categories":1773},[202],{"categories":1775},[254],{"categories":1777},[179],{"categories":1779},[117],{"categories":1781},[117],{"categories":1783},[179],{"categories":1785},[],{"categories":1787},[231],{"categories":1789},[184],{"categories":1791},[179],{"categories":1793},[117],{"categories":1795},[117],{"categories":1797},[176],{"categories":1799},[117],{"categories":1801},[],{"categories":1803},[176],{"categories":1805},[117],{"categories":1807},[254],{"categories":1809},[184],{"categories":1811},[202],{"categories":1813},[117],{"categories":1815},[179],{"categories":1817},[117],{"categories":1819},[117],{"categories":1821},[184],{"categories":1823},[],{"categories":1825},[117],{"categories":1827},[245],{"categories":1829},[176],{"categories":1831},[117],{"categories":1833},[117],{"categories":1835},[],{"categories":1837},[202],{"categories":1839},[117],{"categories":1841},[117],{"categories":1843},[],{"categories":1845},[179],{"categories":1847},[179],{"categories":1849},[187],{"categories":1851},[117],{"categories":1853},[117],{"categories":1855},[],{"categories":1857},[245],{"categories":1859},[117],{"categories":1861},[],{"categories":1863},[],{"categories":1865},[117],{"categories":1867},[202],{"categories":1869},[],{"categories":1871},[279],{"categories":1873},[117],{"categories":1875},[117],{"categories":1877},[],{"categories":1879},[117],{"categories":1881},[245],{"categories":1883},[117],{"categories":1885},[117],{"categories":1887},[117,279],{"categories":1889},[117],{"categories":1891},[117],{"categories":1893},[231],{"categories":1895},[184],{"categories":1897},[],{"categories":1899},[184],{"categories":1901},[184],{"categories":1903},[117],{"categories":1905},[117],{"categories":1907},[117],{"categories":1909},[117],{"categories":1911},[176],{"categories":1913},[234],{"categories":1915},[176],{"categories":1917},[245],{"categories":1919},[231],{"categories":1921},[184],{"categories":1923},[],{"categories":1925},[117],{"categories":1927},[202],{"categories":1929},[117],{"categories":1931},[184],{"categories":1933},[117],{"categories":1935},[117],{"categories":1937},[179],{"categories":1939},[],{"categories":1941},[279],{"categories":1943},[231],{"categories":1945},[231],{"categories":1947},[245],{"categories":1949},[184],{"categories":1951},[117],{"categories":1953},[179],{"categories":1955},[202],{"categories":1957},[231],{"categories":1959},[184],{"categories":1961},[117],{"categories":1963},[],{"categories":1965},[117],{"categories":1967},[117],{"categories":1969},[],{"categories":1971},[],{"categories":1973},[117],{"categories":1975},[117],{"categories":1977},[117],{"categories":1979},[117],{"categories":1981},[184],{"categories":1983},[117],{"categories":1985},[117],{"categories":1987},[],{"categories":1989},[234],{"categories":1991},[117],{"categories":1993},[184],{"categories":1995},[],{"categories":1997},[],{"categories":1999},[117],{"categories":2001},[117],{"categories":2003},[117],{"categories":2005},[202],{"categories":2007},[],{"categories":2009},[231],{"categories":2011},[117],{"categories":2013},[279],{"categories":2015},[202],{"categories":2017},[245],{"categories":2019},[245],{"categories":2021},[202],{"categories":2023},[202],{"categories":2025},[279],{"categories":2027},[],{"categories":2029},[202],{"categories":2031},[117],{"categories":2033},[176],{"categories":2035},[117],{"categories":2037},[202],{"categories":2039},[],{"categories":2041},[117],{"categories":2043},[245],{"categories":2045},[234],{"categories":2047},[117],{"categories":2049},[202],{"categories":2051},[117],{"categories":2053},[245],{"categories":2055},[184],{"categories":2057},[202],{"categories":2059},[279],{"categories":2061},[184],{"categories":2063},[117],{"categories":2065},[117],{"categories":2067},[117],{"categories":2069},[],{"categories":2071},[179],{"categories":2073},[],{"categories":2075},[],{"categories":2077},[117],{"categories":2079},[184],{"categories":2081},[117],{"categories":2083},[117],{"categories":2085},[117],{"categories":2087},[],{"categories":2089},[234],{"categories":2091},[176],{"categories":2093},[184],{"categories":2095},[231],{"categories":2097},[],{"categories":2099},[117],{"categories":2101},[245],{"categories":2103},[117],{"categories":2105},[279],{"categories":2107},[279],{"categories":2109},[],{"categories":2111},[184],{"categories":2113},[202],{"categories":2115},[202],{"categories":2117},[117],{"categories":2119},[184],{"categories":2121},[],{"categories":2123},[231],{"categories":2125},[117],{"categories":2127},[117],{"categories":2129},[],{"categories":2131},[117],{"categories":2133},[],{"categories":2135},[117],{"categories":2137},[245],{"categories":2139},[279],{"categories":2141},[117],{"categories":2143},[245],{"categories":2145},[179],{"categories":2147},[117],{"categories":2149},[],{"categories":2151},[184],{"categories":2153},[176],{"categories":2155},[176],{"categories":2157},[],{"categories":2159},[117],{"categories":2161},[117],{"categories":2163},[245],{"categories":2165},[231],{"categories":2167},[117],{"categories":2169},[184],{"categories":2171},[],{"categories":2173},[117],{"categories":2175},[117],{"categories":2177},[184],{"categories":2179},[],{"categories":2181},[184],{"categories":2183},[245],{"categories":2185},[],{"categories":2187},[117],{"categories":2189},[184],{"categories":2191},[179],{"categories":2193},[],{"categories":2195},[117],{"categories":2197},[],{"categories":2199},[117],{"categories":2201},[117],{"categories":2203},[],{"categories":2205},[117],{"categories":2207},[117],{"categories":2209},[202],{"categories":2211},[117],{"categories":2213},[117],{"categories":2215},[176],{"categories":2217},[117],{"categories":2219},[234],{"categories":2221},[202],{"categories":2223},[184],{"categories":2225},[],{"categories":2227},[117],{"categories":2229},[231],{"categories":2231},[254],{"categories":2233},[117],{"categories":2235},[184],{"categories":2237},[],{"categories":2239},[],{"categories":2241},[],{"categories":2243},[176],{"categories":2245},[202],{"categories":2247},[184],{"categories":2249},[117],{"categories":2251},[117],{"categories":2253},[231],{"categories":2255},[184],{"categories":2257},[],{"categories":2259},[184],{"categories":2261},[184],{"categories":2263},[],{"categories":2265},[117],{"categories":2267},[184],{"categories":2269},[117],{"categories":2271},[],{"categories":2273},[117],{"categories":2275},[117],{"categories":2277},[202],{"categories":2279},[231],{"categories":2281},[184],{"categories":2283},[231],{"categories":2285},[179],{"categories":2287},[],{"categories":2289},[],{"categories":2291},[117],{"categories":2293},[176],{"categories":2295},[202],{"categories":2297},[],{"categories":2299},[231],{"categories":2301},[],{"categories":2303},[245],{"categories":2305},[245],{"categories":2307},[231],{"categories":2309},[245],{"categories":2311},[117],{"categories":2313},[],{"categories":2315},[117],{"categories":2317},[117],{"categories":2319},[],{"categories":2321},[254],{"categories":2323},[117],{"categories":2325},[279],{"categories":2327},[245],{"categories":2329},[],{"categories":2331},[184],{"categories":2333},[117],{"categories":2335},[176],{"categories":2337},[184],{"categories":2339},[184],{"categories":2341},[117],{"categories":2343},[117],{"categories":2345},[],{"categories":2347},[176],{"categories":2349},[117],{"categories":2351},[179],{"categories":2353},[245],{"categories":2355},[231],{"categories":2357},[],{"categories":2359},[],{"categories":2361},[],{"categories":2363},[184],{"categories":2365},[245],{"categories":2367},[231],{"categories":2369},[202],{"categories":2371},[117],{"categories":2373},[202],{"categories":2375},[184],{"categories":2377},[231],{"categories":2379},[117],{"categories":2381},[],{"categories":2383},[117],{"categories":2385},[231],{"categories":2387},[202],{"categories":2389},[179],{"categories":2391},[245],{"categories":2393},[117],{"categories":2395},[202],{"categories":2397},[254],{"categories":2399},[],{"categories":2401},[],{"categories":2403},[234],{"categories":2405},[117,245],{"categories":2407},[202],{"categories":2409},[117],{"categories":2411},[117],{"categories":2413},[184],{"categories":2415},[117],{"categories":2417},[184],{"categories":2419},[117],{"categories":2421},[117],{"categories":2423},[],{"categories":2425},[245],{"categories":2427},[117],{"categories":2429},[234],{"categories":2431},[184],{"categories":2433},[254],{"categories":2435},[279],{"categories":2437},[],{"categories":2439},[184],{"categories":2441},[176],{"categories":2443},[184],{"categories":2445},[184],{"categories":2447},[187],{"categories":2449},[245],{"categories":2451},[117],{"categories":2453},[117],{"categories":2455},[],{"categories":2457},[],{"categories":2459},[],{"categories":2461},[279],{"categories":2463},[117],{"categories":2465},[202],{"categories":2467},[117],{"categories":2469},[117],{"categories":2471},[117],{"categories":2473},[],{"categories":2475},[234],{"categories":2477},[179],{"categories":2479},[184],{"categories":2481},[],{"categories":2483},[117],{"categories":2485},[184],{"categories":2487},[117],{"categories":2489},[279],{"categories":2491},[],{"categories":2493},[231],{"categories":2495},[231],{"categories":2497},[],{"categories":2499},[245],{"categories":2501},[117],{"categories":2503},[231],{"categories":2505},[117],{"categories":2507},[179],{"categories":2509},[],{"categories":2511},[202],{"categories":2513},[117],{"categories":2515},[117],{"categories":2517},[231],{"categories":2519},[184],{"categories":2521},[202],{"categories":2523},[],{"categories":2525},[184],{"categories":2527},[184],{"categories":2529},[231],{"categories":2531},[117],{"categories":2533},[],{"categories":2535},[117],{"categories":2537},[117],{"categories":2539},[279],{"categories":2541},[202],{"categories":2543},[234],{"categories":2545},[234],{"categories":2547},[],{"categories":2549},[],{"categories":2551},[],{"categories":2553},[184],{"categories":2555},[184],{"categories":2557},[245],{"categories":2559},[245],{"categories":2561},[117],{"categories":2563},[117],{"categories":2565},[117],{"categories":2567},[184],{"categories":2569},[],{"categories":2571},[],{"categories":2573},[117],{"categories":2575},[],{"categories":2577},[117],{"categories":2579},[184],{"categories":2581},[117],{"categories":2583},[117],{"categories":2585},[],{"categories":2587},[187],{"categories":2589},[117],{"categories":2591},[231],{"categories":2593},[117],{"categories":2595},[179],{"categories":2597},[117],{"categories":2599},[254],{"categories":2601},[184],{"categories":2603},[117],{"categories":2605},[117],{"categories":2607},[117],{"categories":2609},[245],{"categories":2611},[],{"categories":2613},[202],{"categories":2615},[184],{"categories":2617},[],{"categories":2619},[202],{"categories":2621},[184],{"categories":2623},[184],{"categories":2625},[117],{"categories":2627},[184],{"categories":2629},[],{"categories":2631},[179],{"categories":2633},[184],{"categories":2635},[],{"categories":2637},[245],{"categories":2639},[117],{"categories":2641},[176],{"categories":2643},[202],{"categories":2645},[279],{"categories":2647},[184],{"categories":2649},[117],{"categories":2651},[184],{"categories":2653},[176],{"categories":2655},[],{"categories":2657},[117],{"categories":2659},[],{"categories":2661},[],{"categories":2663},[231],{"categories":2665},[117,179],{"categories":2667},[184],{"categories":2669},[117],{"categories":2671},[],{"categories":2673},[176],{"categories":2675},[234],{"categories":2677},[117],{"categories":2679},[245],{"categories":2681},[117],{"categories":2683},[184],{"categories":2685},[117],{"categories":2687},[117],{"categories":2689},[117],{"categories":2691},[202],{"categories":2693},[184],{"categories":2695},[117],{"categories":2697},[],{"categories":2699},[],{"categories":2701},[184],{"categories":2703},[117],{"categories":2705},[279],{"categories":2707},[],{"categories":2709},[117],{"categories":2711},[184],{"categories":2713},[184],{"categories":2715},[],{"categories":2717},[184],{"categories":2719},[117],{"categories":2721},[254],{"categories":2723},[234],{"categories":2725},[184],{"categories":2727},[117],{"categories":2729},[279],{"categories":2731},[],{"categories":2733},[117],{"categories":2735},[254],{"categories":2737},[231],{"categories":2739},[117],{"categories":2741},[117],{"categories":2743},[],{"categories":2745},[254],{"categories":2747},[202],{"categories":2749},[117],{"categories":2751},[117],{"categories":2753},[176],{"categories":2755},[117],{"categories":2757},[],{"categories":2759},[],{"categories":2761},[231],{"categories":2763},[117],{"categories":2765},[234],{"categories":2767},[254],{"categories":2769},[184],{"categories":2771},[254],{"categories":2773},[202],{"categories":2775},[],{"categories":2777},[117],{"categories":2779},[],{"categories":2781},[117],{"categories":2783},[184],{"categories":2785},[117],{"categories":2787},[117],{"categories":2789},[],{"categories":2791},[117,245],{"categories":2793},[202],{"categories":2795},[184],{"categories":2797},[245],{"categories":2799},[117],{"categories":2801},[176],{"categories":2803},[],{"categories":2805},[],{"categories":2807},[184],{"categories":2809},[117],{"categories":2811},[245],{"categories":2813},[176],{"categories":2815},[245],{"categories":2817},[245],{"categories":2819},[117],{"categories":2821},[254],{"categories":2823},[117],{"categories":2825},[245],{"categories":2827},[],{"categories":2829},[231,117],{"categories":2831},[279],{"categories":2833},[176],{"categories":2835},[],{"categories":2837},[117],{"categories":2839},[179],{"categories":2841},[179],{"categories":2843},[117],{"categories":2845},[117],{"categories":2847},[117],{"categories":2849},[245],{"categories":2851},[184],{"categories":2853},[202],{"categories":2855},[254],{"categories":2857},[231],{"categories":2859},[117],{"categories":2861},[117],{"categories":2863},[117],{"categories":2865},[117],{"categories":2867},[176],{"categories":2869},[117],{"categories":2871},[184],{"categories":2873},[184],{"categories":2875},[202],{"categories":2877},[245],{"categories":2879},[],{"categories":2881},[],{"categories":2883},[234],{"categories":2885},[245],{"categories":2887},[117],{"categories":2889},[231],{"categories":2891},[117],{"categories":2893},[117],{"categories":2895},[117],{"categories":2897},[234],{"categories":2899},[117],{"categories":2901},[117],{"categories":2903},[117],{"categories":2905},[184],{"categories":2907},[184],{"categories":2909},[117,179],{"categories":2911},[],{"categories":2913},[231],{"categories":2915},[],{"categories":2917},[117],{"categories":2919},[202],{"categories":2921},[176],{"categories":2923},[176],{"categories":2925},[184],{"categories":2927},[184],{"categories":2929},[184],{"categories":2931},[117],{"categories":2933},[117],{"categories":2935},[179],{"categories":2937},[245],{"categories":2939},[254],{"categories":2941},[117],{"categories":2943},[],{"categories":2945},[202],{"categories":2947},[117],{"categories":2949},[117],{"categories":2951},[117],{"categories":2953},[117],{"categories":2955},[117],{"categories":2957},[245],{"categories":2959},[202],{"categories":2961},[245],{"categories":2963},[245],{"categories":2965},[117],{"categories":2967},[117],{"categories":2969},[117],{"categories":2971},[184],{"categories":2973},[202],{"categories":2975},[117],{"categories":2977},[184],{"categories":2979},[117],{"categories":2981},[231],{"categories":2983},[117],{"categories":2985},[117],{"categories":2987},[279],{"categories":2989},[117],{"categories":2991},[187],{"categories":2993},[184],{"categories":2995},[117],{"categories":2997},[202],{"categories":2999},[184],{"categories":3001},[254],{"categories":3003},[117],{"categories":3005},[179],{"categories":3007},[117],{"categories":3009},[],{"categories":3011},[117],{"categories":3013},[117],{"categories":3015},[],{"categories":3017},[],{"categories":3019},[],{"categories":3021},[179],{"categories":3023},[117],{"categories":3025},[184],{"categories":3027},[202],{"categories":3029},[202],{"categories":3031},[202],{"categories":3033},[202],{"categories":3035},[],{"categories":3037},[176],{"categories":3039},[184],{"categories":3041},[202],{"categories":3043},[117],{"categories":3045},[176],{"categories":3047},[184],{"categories":3049},[117],{"categories":3051},[117,184],{"categories":3053},[184],{"categories":3055},[279],{"categories":3057},[202],{"categories":3059},[184],{"categories":3061},[202],{"categories":3063},[184],{"categories":3065},[117],{"categories":3067},[],{"categories":3069},[202],{"categories":3071},[254],{"categories":3073},[176],{"categories":3075},[117],{"categories":3077},[117],{"categories":3079},[],{"categories":3081},[245],{"categories":3083},[],{"categories":3085},[176],{"categories":3087},[184],{"categories":3089},[202],{"categories":3091},[117],{"categories":3093},[202],{"categories":3095},[176],{"categories":3097},[202],{"categories":3099},[202],{"categories":3101},[],{"categories":3103},[179],{"categories":3105},[184],{"categories":3107},[202],{"categories":3109},[202],{"categories":3111},[202],{"categories":3113},[202],{"categories":3115},[202],{"categories":3117},[202],{"categories":3119},[202],{"categories":3121},[202],{"categories":3123},[202],{"categories":3125},[202],{"categories":3127},[234],{"categories":3129},[176],{"categories":3131},[117],{"categories":3133},[117],{"categories":3135},[184],{"categories":3137},[184],{"categories":3139},[],{"categories":3141},[117,176],{"categories":3143},[],{"categories":3145},[184],{"categories":3147},[202],{"categories":3149},[184],{"categories":3151},[117],{"categories":3153},[117],{"categories":3155},[117],{"categories":3157},[117],{"categories":3159},[117],{"categories":3161},[184],{"categories":3163},[179],{"categories":3165},[184],{"categories":3167},[],{"categories":3169},[231],{"categories":3171},[202],{"categories":3173},[117],{"categories":3175},[],{"categories":3177},[],{"categories":3179},[184],{"categories":3181},[231],{"categories":3183},[117],{"categories":3185},[],{"categories":3187},[117],{"categories":3189},[],{"categories":3191},[254],{"categories":3193},[117],{"categories":3195},[],{"categories":3197},[],{"categories":3199},[202],{"categories":3201},[176],{"categories":3203},[117],{"categories":3205},[179],{"categories":3207},[117],{"categories":3209},[117],{"categories":3211},[117],{"categories":3213},[179],{"categories":3215},[231],{"categories":3217},[],{"categories":3219},[117],{"categories":3221},[202],{"categories":3223},[],{"categories":3225},[231],{"categories":3227},[117],{"categories":3229},[254],{"categories":3231},[117],{"categories":3233},[279],{"categories":3235},[],{"categories":3237},[254],{"categories":3239},[],{"categories":3241},[117],{"categories":3243},[],{"categories":3245},[184],{"categories":3247},[245],{"categories":3249},[],{"categories":3251},[179],{"categories":3253},[176],{"categories":3255},[184],{"categories":3257},[231],{"categories":3259},[245],{"categories":3261},[],{"categories":3263},[],{"categories":3265},[117],{"categories":3267},[176],{"categories":3269},[117],{"categories":3271},[254],{"categories":3273},[],{"categories":3275},[184],{"categories":3277},[184],{"categories":3279},[184],{"categories":3281},[202],{"categories":3283},[245],{"categories":3285},[117],{"categories":3287},[184],{"categories":3289},[117],{"categories":3291},[184],{"categories":3293},[117],{"categories":3295},[187],{"categories":3297},[254],{"categories":3299},[202],{"categories":3301},[],{"categories":3303},[254],{"categories":3305},[],{"categories":3307},[245],{"categories":3309},[184],{"categories":3311},[],{"categories":3313},[117],{"categories":3315},[117],{"categories":3317},[184],{"categories":3319},[179],{"categories":3321},[176],{"categories":3323},[117],{"categories":3325},[231],{"categories":3327},[245],{"categories":3329},[245],{"categories":3331},[117],{"categories":3333},[234],{"categories":3335},[184],{"categories":3337},[117],{"categories":3339},[184],{"categories":3341},[179],{"categories":3343},[231],{"categories":3345},[245],{"categories":3347},[184],{"categories":3349},[117],{"categories":3351},[117],{"categories":3353},[184],{"categories":3355},[117],{"categories":3357},[202],{"categories":3359},[],{"categories":3361},[176],{"categories":3363},[117],{"categories":3365},[117],{"categories":3367},[117],{"categories":3369},[184],{"categories":3371},[117],{"categories":3373},[117],{"categories":3375},[],{"categories":3377},[117],{"categories":3379},[231],{"categories":3381},[179],{"categories":3383},[202],{"categories":3385},[184],{"categories":3387},[117],{"categories":3389},[117],{"categories":3391},[231],{"categories":3393},[184],{"categories":3395},[117],{"categories":3397},[254],{"categories":3399},[234],{"categories":3401},[117],{"categories":3403},[202],{"categories":3405},[117],{"categories":3407},[184],{"categories":3409},[279],{"categories":3411},[117],{"categories":3413},[184],{"categories":3415},[234],{"categories":3417},[],{"categories":3419},[184],{"categories":3421},[245],{"categories":3423},[231],{"categories":3425},[117],{"categories":3427},[176],{"categories":3429},[245],{"categories":3431},[179],{"categories":3433},[245],{"categories":3435},[117],{"categories":3437},[],{"categories":3439},[184],{"categories":3441},[184],{"categories":3443},[117],{"categories":3445},[234],{"categories":3447},[],{"categories":3449},[202],{"categories":3451},[],{"categories":3453},[202],{"categories":3455},[117],{"categories":3457},[117],{"categories":3459},[184],{"categories":3461},[184],{"categories":3463},[184],{"categories":3465},[],{"categories":3467},[202],{"categories":3469},[117],{"categories":3471},[],{"categories":3473},[117],{"categories":3475},[117],{"categories":3477},[],{"categories":3479},[231],{"categories":3481},[245],{"categories":3483},[184],{"categories":3485},[117],{"categories":3487},[117],{"categories":3489},[254],{"categories":3491},[117],{"categories":3493},[117],{"categories":3495},[176],{"categories":3497},[],{"categories":3499},[117],{"categories":3501},[],{"categories":3503},[176],{"categories":3505},[202],{"categories":3507},[245],{"categories":3509},[117],{"categories":3511},[117],{"categories":3513},[117],{"categories":3515},[245],{"categories":3517},[202],{"categories":3519},[231],{"categories":3521},[117],{"categories":3523},[117],{"categories":3525},[117],{"categories":3527},[202],{"categories":3529},[231],{"categories":3531},[117],{"categories":3533},[202],{"categories":3535},[231],{"categories":3537},[202],{"categories":3539},[184],{"categories":3541},[184],{"categories":3543},[184],{"categories":3545},[245],{"categories":3547},[202],{"categories":3549},[184],{"categories":3551},[184],{"categories":3553},[117],{"categories":3555},[245],{"categories":3557},[231],{"categories":3559},[117],{"categories":3561},[],{"categories":3563},[184],{"categories":3565},[],{"categories":3567},[],{"categories":3569},[],{"categories":3571},[179],{"categories":3573},[184],{"categories":3575},[117],{"categories":3577},[184],{"categories":3579},[176],{"categories":3581},[184],{"categories":3583},[254],{"categories":3585},[184],{"categories":3587},[],{"categories":3589},[184],{"categories":3591},[],{"categories":3593},[176],{"categories":3595},[184],{"categories":3597},[],{"categories":3599},[184],{"categories":3601},[117],{"categories":3603},[117],{"categories":3605},[202],{"categories":3607},[117],{"categories":3609},[184],{"categories":3611},[117],{"categories":3613},[117],{"categories":3615},[202],{"categories":3617},[184],{"categories":3619},[245],{"categories":3621},[231],{"categories":3623},[176],{"categories":3625},[],{"categories":3627},[184],{"categories":3629},[231],{"categories":3631},[279],{"categories":3633},[202],{"categories":3635},[117],{"categories":3637},[231],{"categories":3639},[117],{"categories":3641},[176],{"categories":3643},[],{"categories":3645},[184],{"categories":3647},[117],{"categories":3649},[117],{"categories":3651},[184],{"categories":3653},[117],{"categories":3655},[231],{"categories":3657},[],{"categories":3659},[184],{"categories":3661},[187],{"categories":3663},[202],{"categories":3665},[184],{"categories":3667},[179],{"categories":3669},[],{"categories":3671},[117],{"categories":3673},[187],{"categories":3675},[117],{"categories":3677},[184],{"categories":3679},[202],{"categories":3681},[176],{"categories":3683},[279],{"categories":3685},[117],{"categories":3687},[117],{"categories":3689},[117],{"categories":3691},[202],{"categories":3693},[179],{"categories":3695},[117],{"categories":3697},[231],{"categories":3699},[202],{"categories":3701},[279],{"categories":3703},[117],{"categories":3705},[],{"categories":3707},[],{"categories":3709},[117],{"categories":3711},[279],{"categories":3713},[234],{"categories":3715},[184],{"categories":3717},[184],{"categories":3719},[202],{"categories":3721},[117],{"categories":3723},[176],{"categories":3725},[117],{"categories":3727},[231],{"categories":3729},[184],{"categories":3731},[184],{"categories":3733},[117],{"categories":3735},[254],{"categories":3737},[117],{"categories":3739},[184],{"categories":3741},[],{"categories":3743},[117],{"categories":3745},[117],{"categories":3747},[117],{"categories":3749},[202],{"categories":3751},[176],{"categories":3753},[],{"categories":3755},[117],{"categories":3757},[117],{"categories":3759},[245],{"categories":3761},[231],{"categories":3763},[117,184],{"categories":3765},[254,179],{"categories":3767},[117],{"categories":3769},[117],{"categories":3771},[],{"categories":3773},[184],{"categories":3775},[],{"categories":3777},[245],{"categories":3779},[117],{"categories":3781},[],{"categories":3783},[117],{"categories":3785},[202],{"categories":3787},[117],{"categories":3789},[],{"categories":3791},[184],{"categories":3793},[117],{"categories":3795},[],{"categories":3797},[231],{"categories":3799},[117],{"categories":3801},[184],{"categories":3803},[117],{"categories":3805},[176],{"categories":3807},[184],{"categories":3809},[117],{"categories":3811},[],{"categories":3813},[279],{"categories":3815},[254],{"categories":3817},[179],{"categories":3819},[179],{"categories":3821},[117],{"categories":3823},[176],{"categories":3825},[176],{"categories":3827},[117],{"categories":3829},[184],{"categories":3831},[117],{"categories":3833},[117],{"categories":3835},[245],{"categories":3837},[176],{"categories":3839},[117],{"categories":3841},[254],{"categories":3843},[202],{"categories":3845},[117],{"categories":3847},[117],{"categories":3849},[184],{"categories":3851},[117],{"categories":3853},[],{"categories":3855},[245],{"categories":3857},[],{"categories":3859},[245],{"categories":3861},[184],{"categories":3863},[176],{"categories":3865},[],{"categories":3867},[279],{"categories":3869},[117],{"categories":3871},[245],{"categories":3873},[],{"categories":3875},[202],{"categories":3877},[184],{"categories":3879},[245],{"categories":3881},[117],{"categories":3883},[184],{"categories":3885},[245],{"categories":3887},[184],{"categories":3889},[202],{"categories":3891},[176],{"categories":3893},[202],{"categories":3895},[245],{"categories":3897},[117],{"categories":3899},[231],{"categories":3901},[117],{"categories":3903},[117],{"categories":3905},[117],{"categories":3907},[117],{"categories":3909},[117],{"categories":3911},[184],{"categories":3913},[117],{"categories":3915},[184],{"categories":3917},[117],{"categories":3919},[176],{"categories":3921},[117],{"categories":3923},[184],{"categories":3925},[231],{"categories":3927},[184],{"categories":3929},[176],{"categories":3931},[184],{"categories":3933},[231],{"categories":3935},[],{"categories":3937},[117],{"categories":3939},[234],{"categories":3941},[117],{"categories":3943},[117],{"categories":3945},[245],{"categories":3947},[],{"categories":3949},[184],{"categories":3951},[254],{"categories":3953},[117],{"categories":3955},[202],{"categories":3957},[254],{"categories":3959},[184],{"categories":3961},[179],{"categories":3963},[179],{"categories":3965},[117],{"categories":3967},[117],{"categories":3969},[176],{"categories":3971},[],{"categories":3973},[184],{"categories":3975},[117],{"categories":3977},[245],{"categories":3979},[],{"categories":3981},[176],{"categories":3983},[117],{"categories":3985},[184],{"categories":3987},[184],{"categories":3989},[],{"categories":3991},[245],{"categories":3993},[245],{"categories":3995},[254],{"categories":3997},[231],{"categories":3999},[],{"categories":4001},[117],{"categories":4003},[184],{"categories":4005},[176],{"categories":4007},[117],{"categories":4009},[245],{"categories":4011},[176],{"categories":4013},[202],{"categories":4015},[202],{"categories":4017},[],{"categories":4019},[202],{"categories":4021},[184],{"categories":4023},[231],{"categories":4025},[234],{"categories":4027},[117],{"categories":4029},[],{"categories":4031},[202],{"categories":4033},[245],{"categories":4035},[117],{"categories":4037},[179],{"categories":4039},[117],{"categories":4041},[176],{"categories":4043},[279],{"categories":4045},[176],{"categories":4047},[],{"categories":4049},[],{"categories":4051},[184],{"categories":4053},[202],{"categories":4055},[],{"categories":4057},[184],{"categories":4059},[184],{"categories":4061},[184],{"categories":4063},[],{"categories":4065},[117],{"categories":4067},[],{"categories":4069},[202],{"categories":4071},[176],{"categories":4073},[231],{"categories":4075},[117],{"categories":4077},[202],{"categories":4079},[117],{"categories":4081},[202],{"categories":4083},[],{"categories":4085},[202],{"categories":4087},[176],{"categories":4089},[184],{"categories":4091},[117],{"categories":4093},[],{"categories":4095},[245],{"categories":4097},[184],{"categories":4099},[187],{"categories":4101},[184],{"categories":4103},[176],{"categories":4105},[],{"categories":4107},[],{"categories":4109},[],{"categories":4111},[231],{"categories":4113},[184],{"categories":4115},[117],{"categories":4117},[117],{"categories":4119},[],{"categories":4121},[],{"categories":4123},[],{"categories":4125},[231],{"categories":4127},[],{"categories":4129},[184],{"categories":4131},[117],{"categories":4133},[176],{"categories":4135},[],{"categories":4137},[],{"categories":4139},[231],{"categories":4141},[117],{"categories":4143},[202],{"categories":4145},[],{"categories":4147},[254],{"categories":4149},[202],{"categories":4151},[254],{"categories":4153},[234],{"categories":4155},[117],{"categories":4157},[117],{"categories":4159},[],{"categories":4161},[],{"categories":4163},[184],{"categories":4165},[],{"categories":4167},[117],{"categories":4169},[],{"categories":4171},[184],{"categories":4173},[117],{"categories":4175},[],{"categories":4177},[184],{"categories":4179},[117],{"categories":4181},[202],{"categories":4183},[117],{"categories":4185},[254],{"categories":4187},[117],{"categories":4189},[117],{"categories":4191},[234],{"categories":4193},[184],{"categories":4195},[184],{"categories":4197},[],{"categories":4199},[],{"categories":4201},[117],{"categories":4203},[],{"categories":4205},[202],{"categories":4207},[],{"categories":4209},[],{"categories":4211},[231],{"categories":4213},[176],{"categories":4215},[],{"categories":4217},[179],{"categories":4219},[254],{"categories":4221},[117],{"categories":4223},[245],{"categories":4225},[176],{"categories":4227},[234],{"categories":4229},[179],{"categories":4231},[245],{"categories":4233},[245],{"categories":4235},[],{"categories":4237},[117],{"categories":4239},[],{"categories":4241},[184],{"categories":4243},[176],{"categories":4245},[231],{"categories":4247},[176],{"categories":4249},[184],{"categories":4251},[279],{"categories":4253},[117],{"categories":4255},[117],{"categories":4257},[176],{"categories":4259},[184],{"categories":4261},[],{"categories":4263},[117],{"categories":4265},[245],{"categories":4267},[202],{"categories":4269},[245],{"categories":4271},[117],{"categories":4273},[],{"categories":4275},[231],{"categories":4277},[202],{"categories":4279},[176],{"categories":4281},[117],{"categories":4283},[184],{"categories":4285},[117],{"categories":4287},[179],{"categories":4289},[184],{"categories":4291},[184,279],{"categories":4293},[184],{"categories":4295},[245],{"categories":4297},[117],{"categories":4299},[117],{"categories":4301},[234],{"categories":4303},[184],{"categories":4305},[254],{"categories":4307},[184],{"categories":4309},[],{"categories":4311},[184],{"categories":4313},[117],{"categories":4315},[179],{"categories":4317},[],{"categories":4319},[],{"categories":4321},[117],{"categories":4323},[234],{"categories":4325},[254],{"categories":4327},[117],{"categories":4329},[184],{"categories":4331},[],{"categories":4333},[202],{"categories":4335},[],{"categories":4337},[202],{"categories":4339},[245],{"categories":4341},[176],{"categories":4343},[245],{"categories":4345},[117],{"categories":4347},[184],{"categories":4349},[117],{"categories":4351},[117],{"categories":4353},[254],{"categories":4355},[245],{"categories":4357},[],{"categories":4359},[202],{"categories":4361},[117],{"categories":4363},[],{"categories":4365},[117],{"categories":4367},[117],{"categories":4369},[117],{"categories":4371},[184],{"categories":4373},[117],{"categories":4375},[187],{"categories":4377},[184],{"categories":4379},[117],{"categories":4381},[117],{"categories":4383},[117],{"categories":4385},[117],{"categories":4387},[179],{"categories":4389},[],{"categories":4391},[187],{"categories":4393},[202],{"categories":4395},[184],{"categories":4397},[117],{"categories":4399},[245],{"categories":4401},[],{"categories":4403},[245],{"categories":4405},[245],{"categories":4407},[245],{"categories":4409},[117],{"categories":4411},[117],{"categories":4413},[117],{"categories":4415},[184],{"categories":4417},[202],{"categories":4419},[117],{"categories":4421},[117],{"categories":4423},[117],{"categories":4425},[179],{"categories":4427},[117],{"categories":4429},[184],{"categories":4431},[231],{"categories":4433},[],{"categories":4435},[234],{"categories":4437},[184],{"categories":4439},[117],{"categories":4441},[],{"categories":4443},[117],{"categories":4445},[117],{"categories":4447},[202],{"categories":4449},[117],{"categories":4451},[184],{"categories":4453},[254],{"categories":4455},[],{"categories":4457},[],{"categories":4459},[202],{"categories":4461},[202],{"categories":4463},[117],{"categories":4465},[254],{"categories":4467},[117],{"categories":4469},[176],{"categories":4471},[184],{"categories":4473},[117],{"categories":4475},[184],{"categories":4477},[184],{"categories":4479},[117],{"categories":4481},[179],{"categories":4483},[],{"categories":4485},[234],{"categories":4487},[],{"categories":4489},[202],{"categories":4491},[117],{"categories":4493},[234],{"categories":4495},[117],{"categories":4497},[245],{"categories":4499},[245],{"categories":4501},[245],{"categories":4503},[184],{"categories":4505},[184],{"categories":4507},[231],{"categories":4509},[234],{"categories":4511},[234],{"categories":4513},[],{"categories":4515},[202],{"categories":4517},[117],{"categories":4519},[117],{"categories":4521},[245],{"categories":4523},[],{"categories":4525},[202],{"categories":4527},[202],{"categories":4529},[202],{"categories":4531},[],{"categories":4533},[184],{"categories":4535},[117],{"categories":4537},[],{"categories":4539},[176],{"categories":4541},[179],{"categories":4543},[],{"categories":4545},[117],{"categories":4547},[117],{"categories":4549},[],{"categories":4551},[245],{"categories":4553},[],{"categories":4555},[],{"categories":4557},[],{"categories":4559},[],{"categories":4561},[117],{"categories":4563},[202],{"categories":4565},[],{"categories":4567},[],{"categories":4569},[117],{"categories":4571},[117],{"categories":4573},[117],{"categories":4575},[234],{"categories":4577},[117],{"categories":4579},[234],{"categories":4581},[],{"categories":4583},[234],{"categories":4585},[234],{"categories":4587},[279],{"categories":4589},[184],{"categories":4591},[245],{"categories":4593},[],{"categories":4595},[],{"categories":4597},[234],{"categories":4599},[245],{"categories":4601},[245],{"categories":4603},[245],{"categories":4605},[],{"categories":4607},[176],{"categories":4609},[245],{"categories":4611},[245],{"categories":4613},[176],{"categories":4615},[245],{"categories":4617},[179],{"categories":4619},[245],{"categories":4621},[245],{"categories":4623},[245],{"categories":4625},[234],{"categories":4627},[202],{"categories":4629},[202],{"categories":4631},[117],{"categories":4633},[245],{"categories":4635},[234],{"categories":4637},[279],{"categories":4639},[234],{"categories":4641},[234],{"categories":4643},[234],{"categories":4645},[],{"categories":4647},[179],{"categories":4649},[],{"categories":4651},[279],{"categories":4653},[245],{"categories":4655},[245],{"categories":4657},[245],{"categories":4659},[184],{"categories":4661},[202,179],{"categories":4663},[234],{"categories":4665},[],{"categories":4667},[],{"categories":4669},[234],{"categories":4671},[],{"categories":4673},[234],{"categories":4675},[202],{"categories":4677},[184],{"categories":4679},[],{"categories":4681},[245],{"categories":4683},[117],{"categories":4685},[231],{"categories":4687},[],{"categories":4689},[117],{"categories":4691},[],{"categories":4693},[202],{"categories":4695},[176],{"categories":4697},[234],{"categories":4699},[],{"categories":4701},[245],{"categories":4703},[202],[4705,4785,4858,4932],{"id":4706,"title":4707,"ai":4708,"body":4713,"categories":4761,"created_at":118,"date_modified":118,"description":110,"extension":119,"faq":118,"featured":120,"kicker_label":118,"meta":4762,"navigation":152,"path":4773,"published_at":4774,"question":118,"scraped_at":4774,"seo":4775,"sitemap":4776,"source_id":4777,"source_name":4778,"source_type":4779,"source_url":4767,"stem":4780,"tags":4781,"thumbnail_url":118,"tldr":4782,"tweet":118,"unknown_tags":4783,"__hash__":4784},"summaries\u002Fsummaries\u002Fe9dc0e089d254d6f-admem-advanced-memory-architectures-for-ai-task-so-summary.md","AdMem: Advanced Memory Architectures for AI Task-Solving Agents",{"provider":7,"model":8,"input_tokens":4709,"output_tokens":4710,"processing_time_ms":4711,"cost_usd":4712},4066,525,3575,0.001804,{"type":14,"value":4714,"toc":4756},[4715,4719,4722,4726,4729,4749,4753],[17,4716,4718],{"id":4717},"the-limitations-of-current-agent-memory","The Limitations of Current Agent Memory",[22,4720,4721],{},"Most current AI agents rely on either fixed-length context windows or basic Retrieval-Augmented Generation (RAG) to maintain state. These approaches often fail in complex, multi-step task environments because they struggle to distinguish between transient information and long-term task knowledge. AdMem (Advanced Memory) proposes a structured approach to memory management that separates working memory from long-term storage, allowing agents to maintain coherence over extended task trajectories.",[17,4723,4725],{"id":4724},"core-architecture-of-admem","Core Architecture of AdMem",[22,4727,4728],{},"AdMem functions by implementing a multi-tiered memory system that mimics cognitive processes. Instead of treating all retrieved data as equal, the system categorizes information based on its utility for the current task.",[26,4730,4731,4737,4743],{},[29,4732,4733,4736],{},[32,4734,4735],{},"Working Memory:"," Stores immediate, high-frequency state updates required for the current sub-task. This ensures the model does not lose track of local variables or immediate constraints.",[29,4738,4739,4742],{},[32,4740,4741],{},"Long-term Storage:"," Utilizes a structured index for historical task data, allowing the agent to recall successful strategies from previous sessions or similar problem domains without polluting the active context window.",[29,4744,4745,4748],{},[32,4746,4747],{},"Dynamic Retrieval:"," Unlike standard RAG, which often retrieves static chunks, AdMem employs a relevance-based filtering mechanism that prioritizes information based on the agent's current goal state, effectively reducing noise in the prompt.",[17,4750,4752],{"id":4751},"impact-on-task-solving-performance","Impact on Task-Solving Performance",[22,4754,4755],{},"By implementing this tiered architecture, agents demonstrate improved performance in long-horizon reasoning tasks. The primary benefit is the reduction of 'context drift,' where agents lose focus on the primary objective due to the accumulation of irrelevant historical data. AdMem allows for more efficient token usage by ensuring that only high-signal information is injected into the model's context, leading to both higher accuracy and lower latency in complex, multi-step workflows.",{"title":110,"searchDepth":111,"depth":111,"links":4757},[4758,4759,4760],{"id":4717,"depth":111,"text":4718},{"id":4724,"depth":111,"text":4725},{"id":4751,"depth":111,"text":4752},[117],{"content_references":4763,"triage":4769},[4764],{"type":4765,"title":4766,"url":4767,"context":4768},"paper","AdMem: Advanced Memory for Task-solving Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.06787","reviewed",{"relevance":4770,"novelty":148,"quality":148,"actionability":149,"composite":4771,"reasoning":4772},5,4.15,"Category: AI & LLMs. The article discusses a novel memory architecture for AI agents that addresses specific limitations in current systems, which is highly relevant for developers looking to enhance AI capabilities. It provides insights into a new approach to memory management, although it lacks detailed implementation steps for practical application.","\u002Fsummaries\u002Fe9dc0e089d254d6f-admem-advanced-memory-architectures-for-ai-task-so-summary","2026-06-08 12:56:52",{"title":4707,"description":110},{"loc":4773},"e9dc0e089d254d6f","arXiv cs.AI","article","summaries\u002Fe9dc0e089d254d6f-admem-advanced-memory-architectures-for-ai-task-so-summary",[164,165,166],"AdMem introduces a specialized memory architecture designed to improve task-solving agent performance by addressing the limitations of standard context windows and retrieval-augmented generation.",[166],"EqlyS3a6hwy1EojFp9bI_BJ4-_WvAadNFDZgBE_2UNY",{"id":4786,"title":4787,"ai":4788,"body":4793,"categories":4841,"created_at":118,"date_modified":118,"description":110,"extension":119,"faq":118,"featured":120,"kicker_label":118,"meta":4842,"navigation":152,"path":4847,"published_at":4848,"question":118,"scraped_at":4848,"seo":4849,"sitemap":4850,"source_id":4851,"source_name":4778,"source_type":4779,"source_url":4852,"stem":4853,"tags":4854,"thumbnail_url":118,"tldr":4855,"tweet":118,"unknown_tags":4856,"__hash__":4857},"summaries\u002Fsummaries\u002F124f532f1855041c-open-world-evaluations-for-frontier-ai-capabilitie-summary.md","Open-World Evaluations for Frontier AI Capabilities",{"provider":7,"model":8,"input_tokens":4789,"output_tokens":4790,"processing_time_ms":4791,"cost_usd":4792},4064,476,3101,0.00173,{"type":14,"value":4794,"toc":4836},[4795,4799,4802,4806,4809,4829,4833],[17,4796,4798],{"id":4797},"the-failure-of-static-benchmarking","The Failure of Static Benchmarking",[22,4800,4801],{},"Traditional AI evaluation relies heavily on static, closed-set datasets (e.g., MMLU, GSM8K). While useful for measuring specific knowledge retrieval or reasoning tasks, these benchmarks suffer from data contamination and fail to capture how models perform in dynamic, real-world environments. The authors argue that as models move toward autonomous agentic behavior, static tests provide a false sense of security regarding their true capabilities and safety.",[17,4803,4805],{"id":4804},"moving-toward-open-world-evaluation","Moving Toward Open-World Evaluation",[22,4807,4808],{},"To address these limitations, the paper proposes an 'open-world' evaluation framework. Unlike static tests, open-world evaluations require models to interact with environments where the state space is not fully defined and the outcomes are non-deterministic. This approach emphasizes:",[26,4810,4811,4817,4823],{},[29,4812,4813,4816],{},[32,4814,4815],{},"Dynamic Interaction:"," Measuring how models handle unexpected feedback, tool usage, and multi-step planning in real-time.",[29,4818,4819,4822],{},[32,4820,4821],{},"Generalization over Memorization:"," By creating novel, unseen scenarios, the framework forces models to rely on reasoning rather than pattern matching against training data.",[29,4824,4825,4828],{},[32,4826,4827],{},"Agentic Competence:"," Evaluating the model's ability to maintain long-term goals, recover from errors, and navigate complex, multi-turn workflows that mirror real-world software engineering or research tasks.",[17,4830,4832],{"id":4831},"practical-implications-for-builders","Practical Implications for Builders",[22,4834,4835],{},"For those building AI-powered products, this shift suggests that relying on leaderboard scores is increasingly insufficient. The authors advocate for building custom, environment-specific evaluation pipelines that simulate the actual tasks the AI will perform. This involves creating 'sandboxed' environments where agents can execute code, browse the web, or interact with APIs, with success metrics defined by outcome-based goals rather than exact string matching. This transition is essential for moving from 'demo-ready' AI features to production-grade, reliable autonomous systems.",{"title":110,"searchDepth":111,"depth":111,"links":4837},[4838,4839,4840],{"id":4797,"depth":111,"text":4798},{"id":4804,"depth":111,"text":4805},{"id":4831,"depth":111,"text":4832},[117],{"content_references":4843,"triage":4844},[],{"relevance":4770,"novelty":148,"quality":148,"actionability":148,"composite":4845,"reasoning":4846},4.35,"Category: AI & LLMs. The article directly addresses the limitations of traditional AI benchmarking and proposes a novel evaluation framework that is highly relevant for builders of AI-powered products. It provides actionable insights on creating custom evaluation pipelines that simulate real-world tasks, which aligns with the audience's need for practical applications.","\u002Fsummaries\u002F124f532f1855041c-open-world-evaluations-for-frontier-ai-capabilitie-summary","2026-05-22 07:00:19",{"title":4787,"description":110},{"loc":4847},"124f532f1855041c","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.20520","summaries\u002F124f532f1855041c-open-world-evaluations-for-frontier-ai-capabilitie-summary",[164,165,166],"The paper proposes shifting AI benchmarking from static, closed-set datasets to open-world evaluations, which better measure true agentic capability and generalization in unpredictable environments.",[166],"BKeYHPZUycmuO-x3KfsGcX3Poe8YUEHvR29CDHjNs2o",{"id":4859,"title":4860,"ai":4861,"body":4866,"categories":4911,"created_at":118,"date_modified":118,"description":110,"extension":119,"faq":118,"featured":120,"kicker_label":118,"meta":4912,"navigation":152,"path":4922,"published_at":4923,"question":118,"scraped_at":4923,"seo":4924,"sitemap":4925,"source_id":4926,"source_name":4778,"source_type":4779,"source_url":4918,"stem":4927,"tags":4928,"thumbnail_url":118,"tldr":4929,"tweet":118,"unknown_tags":4930,"__hash__":4931},"summaries\u002Fsummaries\u002F91a04efecb4b4bff-multi-paradigm-agent-interaction-generator-evaluat-summary.md","Multi-Paradigm Agent Interaction: Generator-Evaluator & ReAct Analysis",{"provider":7,"model":8,"input_tokens":4862,"output_tokens":4863,"processing_time_ms":4864,"cost_usd":4865},4126,595,3234,0.001924,{"type":14,"value":4867,"toc":4906},[4868,4872,4875,4879,4899,4903],[17,4869,4871],{"id":4870},"evaluating-agent-interaction-paradigms","Evaluating Agent Interaction Paradigms",[22,4873,4874],{},"The buddyMe framework offers a structured approach to understanding how different interaction patterns influence agent reliability and performance. By comparing the Generator-Evaluator model, the ReAct (Reasoning and Acting) loop, and Adversarial Evaluation, the research highlights that no single paradigm is a silver bullet; rather, the choice of architecture depends heavily on the complexity of the task and the required error-correction mechanisms.",[17,4876,4878],{"id":4877},"core-interaction-patterns","Core Interaction Patterns",[26,4880,4881,4887,4893],{},[29,4882,4883,4886],{},[32,4884,4885],{},"Generator-Evaluator:"," This pattern separates the creative process from the verification process. The generator produces potential solutions, while a secondary evaluator scrutinizes them for logical consistency or factual accuracy. This is particularly effective for tasks where the cost of a wrong answer is high, as it forces a 'second look' before final output.",[29,4888,4889,4892],{},[32,4890,4891],{},"ReAct Loop:"," This approach interleaves reasoning and action. By forcing the model to articulate its thought process before executing a tool call, the agent gains a degree of self-correction. The framework notes that while ReAct is excellent for dynamic environments, it can suffer from 'reasoning drift' if the task requires long-horizon planning.",[29,4894,4895,4898],{},[32,4896,4897],{},"Adversarial Evaluation:"," This technique introduces a competitive element where one agent attempts to find flaws in the output of another. This is identified as a robust method for stress-testing agent outputs, effectively acting as a high-fidelity filter that catches edge cases that standard evaluators might miss.",[17,4900,4902],{"id":4901},"practical-implementation-insights","Practical Implementation Insights",[22,4904,4905],{},"The study emphasizes that building production-ready agents requires moving beyond simple prompt chains. The buddyMe framework suggests that developers should treat agent interaction as a modular architectural decision. By combining these paradigms—for instance, using a ReAct loop for execution and an Adversarial Evaluator for final verification—builders can significantly reduce hallucination rates and improve task completion success in complex, multi-step workflows.",{"title":110,"searchDepth":111,"depth":111,"links":4907},[4908,4909,4910],{"id":4870,"depth":111,"text":4871},{"id":4877,"depth":111,"text":4878},{"id":4901,"depth":111,"text":4902},[117],{"content_references":4913,"triage":4920},[4914],{"type":4765,"title":4915,"author":4916,"publisher":4917,"url":4918,"context":4919},"Multi-Paradigm Agent Interaction in Practice: A Systematic Analysis of Generator-Evaluator, ReAct Loop, and Adversarial Evaluation in the buddyMe Framework","Not specified","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.16821","cited",{"relevance":4770,"novelty":148,"quality":148,"actionability":148,"composite":4845,"reasoning":4921},"Category: AI & LLMs. The article provides a deep analysis of agent interaction paradigms, which is crucial for developers building AI-powered products. It offers practical implementation insights, such as combining different paradigms to enhance agent performance, addressing the audience's need for actionable content.","\u002Fsummaries\u002F91a04efecb4b4bff-multi-paradigm-agent-interaction-generator-evaluat-summary","2026-05-19 07:01:00",{"title":4860,"description":110},{"loc":4922},"91a04efecb4b4bff","summaries\u002F91a04efecb4b4bff-multi-paradigm-agent-interaction-generator-evaluat-summary",[164,165,166],"The buddyMe framework provides a systematic analysis of three core agent interaction patterns—Generator-Evaluator, ReAct, and Adversarial Evaluation—to optimize LLM-based agent performance.",[166],"GweBXLb2hUB_Y5vSx2QQT3w--O6TagcPNakIXSihzIs",{"id":4933,"title":4934,"ai":4935,"body":4941,"categories":5027,"created_at":118,"date_modified":118,"description":110,"extension":119,"faq":118,"featured":120,"kicker_label":118,"meta":5028,"navigation":152,"path":5029,"published_at":5030,"question":118,"scraped_at":118,"seo":5031,"sitemap":5032,"source_id":5033,"source_name":5034,"source_type":4779,"source_url":5035,"stem":5036,"tags":5037,"thumbnail_url":118,"tldr":5038,"tweet":118,"unknown_tags":5039,"__hash__":5040},"summaries\u002Fsummaries\u002Fai-s-3-layers-to-political-superintelligence-summary.md","AI's 3 Layers to Political Superintelligence",{"provider":7,"model":4936,"input_tokens":4937,"output_tokens":4938,"processing_time_ms":4939,"cost_usd":4940},"x-ai\u002Fgrok-4.1-fast",7790,2205,20296,0.00263785,{"type":14,"value":4942,"toc":5022},[4943,4947,4950,4970,4973,4977,4980,4983,5009,5012,5016,5019],[17,4944,4946],{"id":4945},"layered-framework-unlocks-political-superintelligence","Layered Framework Unlocks Political Superintelligence",[22,4948,4949],{},"AI democratizes intelligence like the printing press did information, enabling 'political superintelligence'—tools for sharper reality perception, tradeoff understanding, power contestation, and effective action. Stanford's Andy Hall outlines three layers to build this without slowing AI:",[26,4951,4952,4958,4964],{},[29,4953,4954,4957],{},[32,4955,4956],{},"Information layer",": AI enhances government data access, problem identification, citizen input, and service distribution. Success demands evaluations for policy-relevant behaviors and policymaker-specific tools.",[29,4959,4960,4963],{},[32,4961,4962],{},"Representation layer",": AI delegates monitor politics, suggest votes, or act as supervised policymakers. Challenges include reliable agency, adversarial prompt resistance (e.g., politician-funded campaigns), and ownership (e.g., AI firm biases overriding user prefs).",[29,4965,4966,4969],{},[32,4967,4968],{},"Governance layer",": Privately owned AI needs 'constitutions' for models, plus oversight to ensure public harnessing. Interfaces matter: invest in technical oversight tools, deliberative feedback, transparency regimes, and standard APIs for data\u002Fsteering.",[22,4971,4972],{},"Default path yields powerful political-thinking AIs; intentional UX\u002FUI, empirical interfaces, and regulations turn them into societal wins. Google's companion view scales intelligence via 'societies of minds'—hybrid human-AI ecosystems mirroring historical explosions (primate groups, language ratchets, bureaucracies). Future governance verifies vast AI swarms with values like transparency\u002Fequity; alignment succeeds individually but demands institutional templates (digital courtrooms\u002Fmarkets) for collective behavior.",[17,4974,4976],{"id":4975},"hyperagents-self-improve-via-editable-loops","Hyperagents Self-Improve via Editable Loops",[22,4978,4979],{},"Give LLMs (e.g., Claude Sonnet 4.5) a bash tool, file editor, task agent, and meta-agent in an editable program: hyperagents (Darwin Gödel Machines) recursively refine prompts, behaviors, and self-improvement mechanisms across generations, spawning top performers.",[22,4981,4982],{},"Tested on four domains:",[26,4984,4985,4991,4997,5003],{},[29,4986,4987,4990],{},[32,4988,4989],{},"Polyglot coding",": Edit repos per NL instructions; 5 runs boost training from 0.140 to 0.340 (CI: 0.300–0.380).",[29,4992,4993,4996],{},[32,4994,4995],{},"Paper review",": Predict accept\u002Freject from AI papers; test jumps from 0.0 to 0.710 (CI: 0.590–0.750).",[29,4998,4999,5002],{},[32,5000,5001],{},"Robotics rewards",": Generate RL rewards for quadruped tasks; improves from 0.060 to 0.372 (CI: 0.355–0.436), beating direct metric optimization (0.348).",[29,5004,5005,5008],{},[32,5006,5007],{},"Math grading",": Olympiad-level; unspecified gains but consistent outperformance.",[22,5010,5011],{},"Combines with finetuning for singularity risks\u002Fbenefits; limits include fixed outer selection\u002Fevaluation, demanding trust balances for delegation. Code: github.com\u002Ffacebookresearch\u002FHyperagents.",[17,5013,5015],{"id":5014},"robotics-and-math-expose-ai-frontiers","Robotics and Math Expose AI Frontiers",[22,5017,5018],{},"DexDrummer's hierarchical RL (high-level trajectories, low-level hand control with thumb-index grasp, arm penalties, contact curriculum) trains bimanual Franka\u002FTesollo robots on full drum kits in sim, then real-world. Hits occur but awkwardly—videos reveal years from human drummers; dynamic environments demand artisanal policies, far from LLM generality.",[22,5020,5021],{},"HorizonMath's 100 unsolved applied\u002Fcomputational math problems (8 domains, levels 0–3 by solvability\u002Foutput) resist contamination (no training data solutions) with automated verification (numeric\u002Fconstraint checks). Top scores: GPT 5.4 Pro at 7% full, 50% level 0; Opus 4.6\u002FGemini 3.1 Pro at 3%\u002F30%. Expands to proofs\u002FLean integration, tracking creativity rubicon.",{"title":110,"searchDepth":111,"depth":111,"links":5023},[5024,5025,5026],{"id":4945,"depth":111,"text":4946},{"id":4975,"depth":111,"text":4976},{"id":5014,"depth":111,"text":5015},[202],{},"\u002Fsummaries\u002Fai-s-3-layers-to-political-superintelligence-summary","2026-04-08 21:21:17",{"title":4934,"description":110},{"loc":5029},"5682b838085203f2","Import AI","https:\u002F\u002Funknown","summaries\u002Fai-s-3-layers-to-political-superintelligence-summary",[164,165,166],"Achieve political superintelligence with AI via information access, automated delegates, and governance rules—requires UX, oversight, and regulations to benefit society.",[166],"HSI2CA5Obh62gmK9Hr5iVJQTV1ORHdAVUuPNXw-ivho"]