[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-f3fa0c9086fbc79e-leveraging-public-ai-incident-databases-for-risk-m-summary":3,"summaries-facets-categories":147,"summary-related-f3fa0c9086fbc79e-leveraging-public-ai-incident-databases-for-risk-m-summary":4830},{"id":4,"title":5,"ai":6,"body":13,"categories":102,"created_at":104,"date_modified":104,"description":96,"extension":105,"faq":104,"featured":106,"kicker_label":104,"meta":107,"navigation":129,"path":130,"published_at":131,"question":104,"scraped_at":132,"seo":133,"sitemap":134,"source_id":135,"source_name":136,"source_type":137,"source_url":138,"stem":139,"tags":140,"thumbnail_url":104,"tldr":144,"tweet":104,"unknown_tags":145,"__hash__":146},"summaries\u002Fsummaries\u002Ff3fa0c9086fbc79e-leveraging-public-ai-incident-databases-for-risk-m-summary.md","Leveraging Public AI Incident Databases for Risk Mitigation",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4083,756,4370,0.00215475,{"type":14,"value":15,"toc":95},"minimark",[16,21,25,29,32,67,71,74],[17,18,20],"h2",{"id":19},"learning-from-documented-ai-failures","Learning from Documented AI Failures",[22,23,24],"p",{},"Most organizations deploying AI systems operate in a vacuum, failing to consult existing repositories of historical AI failures. By ignoring these records, teams repeat preventable mistakes. The AI Incident Database (AIID) serves as a primary example, cataloging real-world harms—such as the $35 million deepfake fraud incident—to help engineers and product managers anticipate failure modes before they reach production. These databases provide a roadmap for red-teaming, safety testing, and compliance, allowing builders to move from reactive troubleshooting to proactive risk management.",[17,26,28],{"id":27},"key-public-repositories-for-ai-risk","Key Public Repositories for AI Risk",[22,30,31],{},"There are nine primary public databases and frameworks available for developers and researchers to query:",[33,34,35,43,49,55,61],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"AI Incident Database (AIID):"," The most comprehensive repository for documented AI harms, categorized by industry and failure type.",[36,44,45,48],{},[39,46,47],{},"OECD AI Policy Observatory:"," Offers a global perspective on AI incidents and policy frameworks.",[36,50,51,54],{},[39,52,53],{},"Stanford HAI AI Index:"," Provides high-level data on AI performance, ethics, and societal impact.",[36,56,57,60],{},[39,58,59],{},"NIST AI Risk Management Framework (AI RMF):"," A structured approach for organizations to map, measure, and manage AI risks.",[36,62,63,66],{},[39,64,65],{},"EU AI Act Compliance Databases:"," Essential for those operating in or targeting the European market, focusing on high-risk AI systems.",[17,68,70],{"id":69},"integrating-incident-data-into-the-development-lifecycle","Integrating Incident Data into the Development Lifecycle",[22,72,73],{},"To effectively use these resources, teams should integrate them into their standard development workflows rather than treating them as static archives.",[75,76,77,83,89],"ol",{},[36,78,79,82],{},[39,80,81],{},"Pre-deployment Auditing:"," Query databases for incidents related to your specific domain (e.g., healthcare, finance) to identify common failure patterns like bias, hallucinations, or security vulnerabilities.",[36,84,85,88],{},[39,86,87],{},"Red-Teaming:"," Use documented incidents as test cases for adversarial testing. If a competitor or similar system failed due to a specific prompt injection or data poisoning attack, build that scenario into your evaluation suite.",[36,90,91,94],{},[39,92,93],{},"Compliance Mapping:"," Align your internal safety protocols with the categories defined in the NIST AI RMF to ensure your product meets emerging regulatory standards before they become mandatory.",{"title":96,"searchDepth":97,"depth":97,"links":98},"",2,[99,100,101],{"id":19,"depth":97,"text":20},{"id":27,"depth":97,"text":28},{"id":69,"depth":97,"text":70},[103],"AI & LLMs",null,"md",false,{"content_references":108,"triage":124},[109,114,118,121],{"type":110,"title":111,"url":112,"context":113},"tool","AI Incident Database","https:\u002F\u002Fincidentdatabase.ai\u002F","recommended",{"type":110,"title":115,"url":116,"context":117},"OECD AI Policy Observatory","https:\u002F\u002Foecd.ai\u002F","mentioned",{"type":110,"title":119,"url":120,"context":117},"Stanford HAI AI Index","https:\u002F\u002Faiindex.stanford.edu\u002F",{"type":110,"title":122,"url":123,"context":113},"NIST AI Risk Management Framework","https:\u002F\u002Fwww.nist.gov\u002Fitl\u002Fai-risk-management-framework",{"relevance":125,"novelty":126,"quality":126,"actionability":126,"composite":127,"reasoning":128},5,4,4.35,"Category: AI & LLMs. The article provides a comprehensive overview of public AI incident databases that can help organizations proactively mitigate risks, addressing a key pain point for product builders. It offers actionable steps for integrating these resources into development workflows, making it highly relevant and practical.",true,"\u002Fsummaries\u002Ff3fa0c9086fbc79e-leveraging-public-ai-incident-databases-for-risk-m-summary","2026-06-15 04:17:44","2026-06-15 12:56:54",{"title":5,"description":96},{"loc":130},"f3fa0c9086fbc79e","Level Up Coding","article","https:\u002F\u002Flevelup.gitconnected.com\u002Fthe-global-databases-tracking-every-time-ai-goes-wrong-and-how-to-query-them-1891f4f181f6?source=rss----5517fd7b58a6---4","summaries\u002Ff3fa0c9086fbc79e-leveraging-public-ai-incident-databases-for-risk-m-summary",[141,142,143],"ai-tools","research","machine-learning","Organizations deploying AI can proactively identify and mitigate risks by querying nine public databases that catalog documented AI failures, ranging from deepfake fraud to algorithmic bias.",[],"xjyt4J3MqEhwnnRrLFQJ3JkqAsBaAXBUAbk24vb4sZI",[148,151,154,156,159,162,164,166,168,170,172,174,176,178,181,183,185,187,189,191,193,195,197,199,201,203,205,207,210,213,215,217,219,221,223,226,228,230,232,235,237,239,241,243,245,247,249,251,253,255,257,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828],{"categories":149},[150],"Developer Productivity",{"categories":152},[153],"Business & SaaS",{"categories":155},[103],{"categories":157},[158],"AI Automation",{"categories":160},[161],"Product Strategy",{"categories":163},[103],{"categories":165},[150],{"categories":167},[103],{"categories":169},[153],{"categories":171},[],{"categories":173},[103],{"categories":175},[158],{"categories":177},[],{"categories":179},[180],"AI News & Trends",{"categories":182},[158],{"categories":184},[158],{"categories":186},[180],{"categories":188},[158],{"categories":190},[158],{"categories":192},[158],{"categories":194},[103],{"categories":196},[103],{"categories":198},[103],{"categories":200},[180],{"categories":202},[103],{"categories":204},[103],{"categories":206},[],{"categories":208},[209],"Design & Frontend",{"categories":211},[212],"Data Science & Visualization",{"categories":214},[180],{"categories":216},[103],{"categories":218},[],{"categories":220},[103],{"categories":222},[158],{"categories":224},[225],"Software Engineering",{"categories":227},[103],{"categories":229},[158],{"categories":231},[103],{"categories":233},[234],"Marketing & Growth",{"categories":236},[209],{"categories":238},[103],{"categories":240},[158],{"categories":242},[],{"categories":244},[],{"categories":246},[209],{"categories":248},[158],{"categories":250},[150],{"categories":252},[225],{"categories":254},[209],{"categories":256},[103],{"categories":258},[259],"DevOps & Cloud",{"categories":261},[158],{"categories":263},[180],{"categories":265},[103],{"categories":267},[],{"categories":269},[],{"categories":271},[158],{"categories":273},[225],{"categories":275},[],{"categories":277},[153],{"categories":279},[],{"categories":281},[],{"categories":283},[103],{"categories":285},[158],{"categories":287},[103],{"categories":289},[103],{"categories":291},[158],{"categories":293},[103],{"categories":295},[103],{"categories":297},[103],{"categories":299},[],{"categories":301},[225],{"categories":303},[],{"categories":305},[],{"categories":307},[225],{"categories":309},[],{"categories":311},[225],{"categories":313},[103],{"categories":315},[103],{"categories":317},[234],{"categories":319},[209],{"categories":321},[209],{"categories":323},[103],{"categories":325},[225],{"categories":327},[158],{"categories":329},[225],{"categories":331},[103],{"categories":333},[103],{"categories":335},[158],{"categories":337},[158],{"categories":339},[212],{"categories":341},[180],{"categories":343},[158],{"categories":345},[158],{"categories":347},[234],{"categories":349},[158],{"categories":351},[161],{"categories":353},[225],{"categories":355},[],{"categories":357},[158],{"categories":359},[],{"categories":361},[158],{"categories":363},[103],{"categories":365},[225],{"categories":367},[259],{"categories":369},[209],{"categories":371},[103],{"categories":373},[],{"categories":375},[225],{"categories":377},[103],{"categories":379},[],{"categories":381},[158],{"categories":383},[],{"categories":385},[103],{"categories":387},[],{"categories":389},[150],{"categories":391},[225],{"categories":393},[153],{"categories":395},[103],{"categories":397},[103],{"categories":399},[180],{"categories":401},[103],{"categories":403},[],{"categories":405},[103],{"categories":407},[],{"categories":409},[225],{"categories":411},[212],{"categories":413},[],{"categories":415},[103],{"categories":417},[209],{"categories":419},[],{"categories":421},[209],{"categories":423},[158],{"categories":425},[],{"categories":427},[103],{"categories":429},[103],{"categories":431},[158],{"categories":433},[180],{"categories":435},[153],{"categories":437},[103],{"categories":439},[],{"categories":441},[225],{"categories":443},[158],{"categories":445},[103],{"categories":447},[161],{"categories":449},[],{"categories":451},[103],{"categories":453},[161],{"categories":455},[158],{"categories":457},[103],{"categories":459},[158],{"categories":461},[],{"categories":463},[212],{"categories":465},[103],{"categories":467},[],{"categories":469},[150],{"categories":471},[103],{"categories":473},[153],{"categories":475},[103],{"categories":477},[158],{"categories":479},[103],{"categories":481},[103],{"categories":483},[225],{"categories":485},[103],{"categories":487},[],{"categories":489},[],{"categories":491},[103],{"categories":493},[103],{"categories":495},[],{"categories":497},[209],{"categories":499},[],{"categories":501},[103],{"categories":503},[],{"categories":505},[158],{"categories":507},[103],{"categories":509},[209],{"categories":511},[],{"categories":513},[103],{"categories":515},[103],{"categories":517},[153],{"categories":519},[158],{"categories":521},[103],{"categories":523},[103],{"categories":525},[209],{"categories":527},[158],{"categories":529},[],{"categories":531},[225],{"categories":533},[158],{"categories":535},[],{"categories":537},[180],{"categories":539},[],{"categories":541},[103],{"categories":543},[153,234],{"categories":545},[],{"categories":547},[103],{"categories":549},[158],{"categories":551},[],{"categories":553},[],{"categories":555},[103],{"categories":557},[209],{"categories":559},[103],{"categories":561},[],{"categories":563},[103],{"categories":565},[259],{"categories":567},[],{"categories":569},[180],{"categories":571},[209],{"categories":573},[],{"categories":575},[180],{"categories":577},[103],{"categories":579},[158],{"categories":581},[180],{"categories":583},[103],{"categories":585},[234],{"categories":587},[],{"categories":589},[153],{"categories":591},[225],{"categories":593},[103],{"categories":595},[158],{"categories":597},[],{"categories":599},[103,259],{"categories":601},[103],{"categories":603},[103],{"categories":605},[103],{"categories":607},[158],{"categories":609},[103,225],{"categories":611},[212],{"categories":613},[103],{"categories":615},[225],{"categories":617},[158],{"categories":619},[234],{"categories":621},[158],{"categories":623},[103],{"categories":625},[158],{"categories":627},[],{"categories":629},[158],{"categories":631},[103],{"categories":633},[103,153],{"categories":635},[153],{"categories":637},[],{"categories":639},[209],{"categories":641},[209],{"categories":643},[],{"categories":645},[],{"categories":647},[180],{"categories":649},[],{"categories":651},[150],{"categories":653},[103],{"categories":655},[225],{"categories":657},[103],{"categories":659},[209],{"categories":661},[158],{"categories":663},[225],{"categories":665},[180],{"categories":667},[209],{"categories":669},[],{"categories":671},[103],{"categories":673},[103],{"categories":675},[103],{"categories":677},[103],{"categories":679},[103],{"categories":681},[103],{"categories":683},[180],{"categories":685},[150],{"categories":687},[103],{"categories":689},[158],{"categories":691},[259],{"categories":693},[209],{"categories":695},[103],{"categories":697},[158],{"categories":699},[],{"categories":701},[],{"categories":703},[209],{"categories":705},[180],{"categories":707},[212],{"categories":709},[],{"categories":711},[103],{"categories":713},[103],{"categories":715},[153],{"categories":717},[103],{"categories":719},[103],{"categories":721},[103],{"categories":723},[180],{"categories":725},[209],{"categories":727},[],{"categories":729},[158],{"categories":731},[225],{"categories":733},[],{"categories":735},[103],{"categories":737},[103],{"categories":739},[158],{"categories":741},[225],{"categories":743},[103],{"categories":745},[212],{"categories":747},[],{"categories":749},[],{"categories":751},[103],{"categories":753},[],{"categories":755},[161],{"categories":757},[153],{"categories":759},[158],{"categories":761},[158],{"categories":763},[],{"categories":765},[150],{"categories":767},[103],{"categories":769},[153],{"categories":771},[180],{"categories":773},[150],{"categories":775},[],{"categories":777},[103],{"categories":779},[],{"categories":781},[],{"categories":783},[180],{"categories":785},[180],{"categories":787},[],{"categories":789},[209],{"categories":791},[225],{"categories":793},[],{"categories":795},[153],{"categories":797},[],{"categories":799},[],{"categories":801},[150],{"categories":803},[212],{"categories":805},[],{"categories":807},[234],{"categories":809},[158],{"categories":811},[153],{"categories":813},[158],{"categories":815},[225],{"categories":817},[],{"categories":819},[161],{"categories":821},[209],{"categories":823},[225],{"categories":825},[103],{"categories":827},[158],{"categories":829},[153],{"categories":831},[103],{"categories":833},[],{"categories":835},[],{"categories":837},[225],{"categories":839},[212],{"categories":841},[161],{"categories":843},[103],{"categories":845},[158],{"categories":847},[103],{"categories":849},[],{"categories":851},[180],{"categories":853},[259],{"categories":855},[],{"categories":857},[158],{"categories":859},[],{"categories":861},[150],{"categories":863},[],{"categories":865},[103],{"categories":867},[103],{"categories":869},[209],{"categories":871},[234],{"categories":873},[225],{"categories":875},[158],{"categories":877},[],{"categories":879},[225],{"categories":881},[150],{"categories":883},[],{"categories":885},[180],{"categories":887},[103,259],{"categories":889},[103],{"categories":891},[180],{"categories":893},[103],{"categories":895},[103],{"categories":897},[153],{"categories":899},[103],{"categories":901},[],{"categories":903},[103],{"categories":905},[153],{"categories":907},[103],{"categories":909},[],{"categories":911},[158],{"categories":913},[225],{"categories":915},[209],{"categories":917},[180],{"categories":919},[212],{"categories":921},[103],{"categories":923},[150],{"categories":925},[103],{"categories":927},[158],{"categories":929},[225],{"categories":931},[],{"categories":933},[],{"categories":935},[158],{"categories":937},[161],{"categories":939},[],{"categories":941},[103],{"categories":943},[],{"categories":945},[209],{"categories":947},[158],{"categories":949},[225],{"categories":951},[209],{"categories":953},[103],{"categories":955},[209],{"categories":957},[],{"categories":959},[],{"categories":961},[180],{"categories":963},[158],{"categories":965},[158],{"categories":967},[103],{"categories":969},[103],{"categories":971},[103],{"categories":973},[153],{"categories":975},[103],{"categories":977},[],{"categories":979},[225],{"categories":981},[225],{"categories":983},[153],{"categories":985},[],{"categories":987},[103],{"categories":989},[103],{"categories":991},[158],{"categories":993},[150],{"categories":995},[153],{"categories":997},[180],{"categories":999},[158],{"categories":1001},[234],{"categories":1003},[103],{"categories":1005},[158],{"categories":1007},[],{"categories":1009},[209],{"categories":1011},[],{"categories":1013},[103],{"categories":1015},[103],{"categories":1017},[],{"categories":1019},[153],{"categories":1021},[158],{"categories":1023},[],{"categories":1025},[103],{"categories":1027},[259],{"categories":1029},[212],{"categories":1031},[225],{"categories":1033},[234],{"categories":1035},[103],{"categories":1037},[209],{"categories":1039},[103],{"categories":1041},[225],{"categories":1043},[158],{"categories":1045},[],{"categories":1047},[],{"categories":1049},[158],{"categories":1051},[150],{"categories":1053},[158],{"categories":1055},[161],{"categories":1057},[153],{"categories":1059},[],{"categories":1061},[103],{"categories":1063},[161],{"categories":1065},[103],{"categories":1067},[103],{"categories":1069},[103],{"categories":1071},[103],{"categories":1073},[234],{"categories":1075},[103],{"categories":1077},[103],{"categories":1079},[103],{"categories":1081},[209],{"categories":1083},[158],{"categories":1085},[],{"categories":1087},[],{"categories":1089},[259],{"categories":1091},[225],{"categories":1093},[],{"categories":1095},[158],{"categories":1097},[103],{"categories":1099},[209,103],{"categories":1101},[150],{"categories":1103},[],{"categories":1105},[103],{"categories":1107},[150],{"categories":1109},[209],{"categories":1111},[158],{"categories":1113},[225],{"categories":1115},[],{"categories":1117},[103],{"categories":1119},[],{"categories":1121},[],{"categories":1123},[103],{"categories":1125},[150],{"categories":1127},[103],{"categories":1129},[],{"categories":1131},[158],{"categories":1133},[161],{"categories":1135},[225],{"categories":1137},[103],{"categories":1139},[103],{"categories":1141},[103],{"categories":1143},[209],{"categories":1145},[158],{"categories":1147},[259],{"categories":1149},[209],{"categories":1151},[153],{"categories":1153},[158],{"categories":1155},[103],{"categories":1157},[103],{"categories":1159},[103],{"categories":1161},[158],{"categories":1163},[225],{"categories":1165},[103],{"categories":1167},[161],{"categories":1169},[],{"categories":1171},[180],{"categories":1173},[],{"categories":1175},[161],{"categories":1177},[158],{"categories":1179},[209],{"categories":1181},[103],{"categories":1183},[103],{"categories":1185},[158],{"categories":1187},[225],{"categories":1189},[209],{"categories":1191},[158],{"categories":1193},[180],{"categories":1195},[],{"categories":1197},[103],{"categories":1199},[],{"categories":1201},[103],{"categories":1203},[103],{"categories":1205},[209],{"categories":1207},[103],{"categories":1209},[150],{"categories":1211},[180],{"categories":1213},[103],{"categories":1215},[103],{"categories":1217},[234],{"categories":1219},[103],{"categories":1221},[103],{"categories":1223},[158],{"categories":1225},[158],{"categories":1227},[103],{"categories":1229},[158],{"categories":1231},[158],{"categories":1233},[103],{"categories":1235},[103],{"categories":1237},[158],{"categories":1239},[209],{"categories":1241},[103],{"categories":1243},[103],{"categories":1245},[],{"categories":1247},[],{"categories":1249},[225],{"categories":1251},[],{"categories":1253},[150],{"categories":1255},[259],{"categories":1257},[103],{"categories":1259},[],{"categories":1261},[150],{"categories":1263},[153],{"categories":1265},[103],{"categories":1267},[234],{"categories":1269},[],{"categories":1271},[153],{"categories":1273},[],{"categories":1275},[103],{"categories":1277},[225],{"categories":1279},[],{"categories":1281},[],{"categories":1283},[],{"categories":1285},[],{"categories":1287},[103],{"categories":1289},[158],{"categories":1291},[259],{"categories":1293},[103],{"categories":1295},[150],{"categories":1297},[225],{"categories":1299},[103],{"categories":1301},[103],{"categories":1303},[225],{"categories":1305},[161],{"categories":1307},[103],{"categories":1309},[234],{"categories":1311},[153],{"categories":1313},[103],{"categories":1315},[103],{"categories":1317},[103],{"categories":1319},[103],{"categories":1321},[103,150],{"categories":1323},[225],{"categories":1325},[225],{"categories":1327},[209],{"categories":1329},[158],{"categories":1331},[103],{"categories":1333},[103],{"categories":1335},[],{"categories":1337},[],{"categories":1339},[103],{"categories":1341},[],{"categories":1343},[225],{"categories":1345},[212],{"categories":1347},[180],{"categories":1349},[209],{"categories":1351},[103],{"categories":1353},[225],{"categories":1355},[],{"categories":1357},[103],{"categories":1359},[103],{"categories":1361},[103],{"categories":1363},[],{"categories":1365},[158],{"categories":1367},[103],{"categories":1369},[103],{"categories":1371},[],{"categories":1373},[158],{"categories":1375},[103],{"categories":1377},[153],{"categories":1379},[],{"categories":1381},[150],{"categories":1383},[103],{"categories":1385},[103],{"categories":1387},[150],{"categories":1389},[103],{"categories":1391},[225],{"categories":1393},[234],{"categories":1395},[158],{"categories":1397},[158],{"categories":1399},[103,209],{"categories":1401},[180],{"categories":1403},[103],{"categories":1405},[209],{"categories":1407},[],{"categories":1409},[225],{"categories":1411},[259],{"categories":1413},[209],{"categories":1415},[225],{"categories":1417},[103],{"categories":1419},[103],{"categories":1421},[158],{"categories":1423},[],{"categories":1425},[],{"categories":1427},[],{"categories":1429},[],{"categories":1431},[225],{"categories":1433},[103],{"categories":1435},[158],{"categories":1437},[153],{"categories":1439},[158],{"categories":1441},[259],{"categories":1443},[103],{"categories":1445},[103],{"categories":1447},[103],{"categories":1449},[158],{"categories":1451},[103],{"categories":1453},[103],{"categories":1455},[],{"categories":1457},[209],{"categories":1459},[225],{"categories":1461},[],{"categories":1463},[],{"categories":1465},[158],{"categories":1467},[],{"categories":1469},[],{"categories":1471},[234],{"categories":1473},[234],{"categories":1475},[158],{"categories":1477},[225],{"categories":1479},[],{"categories":1481},[103],{"categories":1483},[103],{"categories":1485},[225],{"categories":1487},[209],{"categories":1489},[209],{"categories":1491},[103],{"categories":1493},[158],{"categories":1495},[150],{"categories":1497},[103],{"categories":1499},[103],{"categories":1501},[209],{"categories":1503},[209],{"categories":1505},[158],{"categories":1507},[158],{"categories":1509},[103],{"categories":1511},[],{"categories":1513},[103],{"categories":1515},[],{"categories":1517},[103],{"categories":1519},[158],{"categories":1521},[180],{"categories":1523},[225],{"categories":1525},[103],{"categories":1527},[225],{"categories":1529},[150],{"categories":1531},[103],{"categories":1533},[],{"categories":1535},[158],{"categories":1537},[158],{"categories":1539},[],{"categories":1541},[103],{"categories":1543},[150],{"categories":1545},[103],{"categories":1547},[150],{"categories":1549},[150],{"categories":1551},[],{"categories":1553},[225],{"categories":1555},[],{"categories":1557},[158],{"categories":1559},[180],{"categories":1561},[103],{"categories":1563},[158],{"categories":1565},[103],{"categories":1567},[158],{"categories":1569},[103],{"categories":1571},[180],{"categories":1573},[212],{"categories":1575},[103],{"categories":1577},[161],{"categories":1579},[180],{"categories":1581},[209],{"categories":1583},[],{"categories":1585},[],{"categories":1587},[103],{"categories":1589},[103],{"categories":1591},[180],{"categories":1593},[],{"categories":1595},[],{"categories":1597},[],{"categories":1599},[103],{"categories":1601},[],{"categories":1603},[225],{"categories":1605},[225],{"categories":1607},[212],{"categories":1609},[],{"categories":1611},[103],{"categories":1613},[103],{"categories":1615},[212],{"categories":1617},[225],{"categories":1619},[],{"categories":1621},[],{"categories":1623},[158],{"categories":1625},[158],{"categories":1627},[225],{"categories":1629},[158],{"categories":1631},[180],{"categories":1633},[180],{"categories":1635},[158],{"categories":1637},[158],{"categories":1639},[150],{"categories":1641},[103,259],{"categories":1643},[],{"categories":1645},[209],{"categories":1647},[225],{"categories":1649},[150],{"categories":1651},[103],{"categories":1653},[158],{"categories":1655},[209],{"categories":1657},[],{"categories":1659},[158],{"categories":1661},[158],{"categories":1663},[158],{"categories":1665},[103],{"categories":1667},[234],{"categories":1669},[103],{"categories":1671},[225],{"categories":1673},[209],{"categories":1675},[103],{"categories":1677},[],{"categories":1679},[158],{"categories":1681},[209],{"categories":1683},[103],{"categories":1685},[158],{"categories":1687},[158],{"categories":1689},[158],{"categories":1691},[234],{"categories":1693},[212],{"categories":1695},[103],{"categories":1697},[158],{"categories":1699},[103],{"categories":1701},[],{"categories":1703},[234],{"categories":1705},[180],{"categories":1707},[225],{"categories":1709},[103],{"categories":1711},[158],{"categories":1713},[],{"categories":1715},[],{"categories":1717},[103],{"categories":1719},[158],{"categories":1721},[103],{"categories":1723},[180],{"categories":1725},[103],{"categories":1727},[158],{"categories":1729},[158],{"categories":1731},[],{"categories":1733},[103],{"categories":1735},[],{"categories":1737},[],{"categories":1739},[103],{"categories":1741},[158],{"categories":1743},[],{"categories":1745},[],{"categories":1747},[212],{"categories":1749},[103],{"categories":1751},[212],{"categories":1753},[180],{"categories":1755},[103],{"categories":1757},[103],{"categories":1759},[158],{"categories":1761},[103],{"categories":1763},[158],{"categories":1765},[],{"categories":1767},[],{"categories":1769},[103],{"categories":1771},[259],{"categories":1773},[103],{"categories":1775},[],{"categories":1777},[],{"categories":1779},[150],{"categories":1781},[],{"categories":1783},[],{"categories":1785},[103],{"categories":1787},[],{"categories":1789},[],{"categories":1791},[225],{"categories":1793},[180],{"categories":1795},[234],{"categories":1797},[153],{"categories":1799},[103],{"categories":1801},[103],{"categories":1803},[153],{"categories":1805},[],{"categories":1807},[209],{"categories":1809},[158],{"categories":1811},[153],{"categories":1813},[103],{"categories":1815},[103],{"categories":1817},[150],{"categories":1819},[103],{"categories":1821},[],{"categories":1823},[150],{"categories":1825},[103],{"categories":1827},[234],{"categories":1829},[158],{"categories":1831},[180],{"categories":1833},[103],{"categories":1835},[153],{"categories":1837},[103],{"categories":1839},[103],{"categories":1841},[158],{"categories":1843},[],{"categories":1845},[103],{"categories":1847},[225],{"categories":1849},[150],{"categories":1851},[103],{"categories":1853},[103],{"categories":1855},[],{"categories":1857},[180],{"categories":1859},[103],{"categories":1861},[103],{"categories":1863},[],{"categories":1865},[153],{"categories":1867},[153],{"categories":1869},[103],{"categories":1871},[161],{"categories":1873},[103],{"categories":1875},[103],{"categories":1877},[],{"categories":1879},[225],{"categories":1881},[103],{"categories":1883},[],{"categories":1885},[],{"categories":1887},[103],{"categories":1889},[180],{"categories":1891},[],{"categories":1893},[259],{"categories":1895},[103],{"categories":1897},[103],{"categories":1899},[],{"categories":1901},[103],{"categories":1903},[225],{"categories":1905},[103],{"categories":1907},[103],{"categories":1909},[103,259],{"categories":1911},[103],{"categories":1913},[103],{"categories":1915},[209],{"categories":1917},[158],{"categories":1919},[],{"categories":1921},[158],{"categories":1923},[158],{"categories":1925},[103],{"categories":1927},[103],{"categories":1929},[103],{"categories":1931},[103],{"categories":1933},[150],{"categories":1935},[212],{"categories":1937},[150],{"categories":1939},[225],{"categories":1941},[209],{"categories":1943},[158],{"categories":1945},[103],{"categories":1947},[],{"categories":1949},[103],{"categories":1951},[180],{"categories":1953},[103],{"categories":1955},[158],{"categories":1957},[103],{"categories":1959},[103],{"categories":1961},[153],{"categories":1963},[],{"categories":1965},[259],{"categories":1967},[209],{"categories":1969},[209],{"categories":1971},[225],{"categories":1973},[158],{"categories":1975},[103],{"categories":1977},[153],{"categories":1979},[180],{"categories":1981},[209],{"categories":1983},[158],{"categories":1985},[103],{"categories":1987},[],{"categories":1989},[103],{"categories":1991},[103],{"categories":1993},[],{"categories":1995},[],{"categories":1997},[103],{"categories":1999},[103],{"categories":2001},[103],{"categories":2003},[225],{"categories":2005},[103],{"categories":2007},[103],{"categories":2009},[158],{"categories":2011},[103],{"categories":2013},[103],{"categories":2015},[],{"categories":2017},[212],{"categories":2019},[103],{"categories":2021},[158],{"categories":2023},[],{"categories":2025},[],{"categories":2027},[103],{"categories":2029},[103],{"categories":2031},[103],{"categories":2033},[180],{"categories":2035},[],{"categories":2037},[209],{"categories":2039},[103],{"categories":2041},[259],{"categories":2043},[180],{"categories":2045},[225],{"categories":2047},[225],{"categories":2049},[180],{"categories":2051},[180],{"categories":2053},[259],{"categories":2055},[],{"categories":2057},[180],{"categories":2059},[103],{"categories":2061},[150],{"categories":2063},[103],{"categories":2065},[180],{"categories":2067},[],{"categories":2069},[103],{"categories":2071},[225],{"categories":2073},[212],{"categories":2075},[103],{"categories":2077},[180],{"categories":2079},[103],{"categories":2081},[225],{"categories":2083},[158],{"categories":2085},[180],{"categories":2087},[158],{"categories":2089},[259],{"categories":2091},[158],{"categories":2093},[103],{"categories":2095},[103],{"categories":2097},[225],{"categories":2099},[103],{"categories":2101},[],{"categories":2103},[153],{"categories":2105},[],{"categories":2107},[],{"categories":2109},[103],{"categories":2111},[158],{"categories":2113},[103],{"categories":2115},[103],{"categories":2117},[103],{"categories":2119},[103],{"categories":2121},[],{"categories":2123},[212],{"categories":2125},[150],{"categories":2127},[158],{"categories":2129},[209],{"categories":2131},[],{"categories":2133},[103],{"categories":2135},[225],{"categories":2137},[103],{"categories":2139},[259],{"categories":2141},[259],{"categories":2143},[],{"categories":2145},[158],{"categories":2147},[180],{"categories":2149},[180],{"categories":2151},[103],{"categories":2153},[158],{"categories":2155},[],{"categories":2157},[209],{"categories":2159},[103],{"categories":2161},[103],{"categories":2163},[],{"categories":2165},[103],{"categories":2167},[],{"categories":2169},[103],{"categories":2171},[225],{"categories":2173},[259],{"categories":2175},[103],{"categories":2177},[225],{"categories":2179},[153],{"categories":2181},[103],{"categories":2183},[],{"categories":2185},[158],{"categories":2187},[150],{"categories":2189},[150],{"categories":2191},[],{"categories":2193},[103],{"categories":2195},[103],{"categories":2197},[103],{"categories":2199},[225],{"categories":2201},[209],{"categories":2203},[103],{"categories":2205},[158],{"categories":2207},[],{"categories":2209},[103],{"categories":2211},[103],{"categories":2213},[158],{"categories":2215},[103],{"categories":2217},[],{"categories":2219},[158],{"categories":2221},[103],{"categories":2223},[158],{"categories":2225},[158],{"categories":2227},[225],{"categories":2229},[],{"categories":2231},[103],{"categories":2233},[158],{"categories":2235},[153],{"categories":2237},[103],{"categories":2239},[],{"categories":2241},[103],{"categories":2243},[],{"categories":2245},[103],{"categories":2247},[103],{"categories":2249},[],{"categories":2251},[103],{"categories":2253},[103],{"categories":2255},[180],{"categories":2257},[103],{"categories":2259},[103],{"categories":2261},[150],{"categories":2263},[103],{"categories":2265},[103],{"categories":2267},[212],{"categories":2269},[180],{"categories":2271},[158],{"categories":2273},[],{"categories":2275},[103],{"categories":2277},[209],{"categories":2279},[103],{"categories":2281},[234],{"categories":2283},[103],{"categories":2285},[158],{"categories":2287},[],{"categories":2289},[],{"categories":2291},[],{"categories":2293},[150],{"categories":2295},[180],{"categories":2297},[158],{"categories":2299},[103],{"categories":2301},[103],{"categories":2303},[103],{"categories":2305},[209],{"categories":2307},[158],{"categories":2309},[],{"categories":2311},[158],{"categories":2313},[158],{"categories":2315},[],{"categories":2317},[103],{"categories":2319},[158],{"categories":2321},[103],{"categories":2323},[],{"categories":2325},[103],{"categories":2327},[103],{"categories":2329},[180],{"categories":2331},[209],{"categories":2333},[158],{"categories":2335},[209],{"categories":2337},[158],{"categories":2339},[153],{"categories":2341},[],{"categories":2343},[],{"categories":2345},[103],{"categories":2347},[150],{"categories":2349},[180],{"categories":2351},[],{"categories":2353},[209],{"categories":2355},[],{"categories":2357},[225],{"categories":2359},[225],{"categories":2361},[209],{"categories":2363},[225],{"categories":2365},[103],{"categories":2367},[],{"categories":2369},[103],{"categories":2371},[103],{"categories":2373},[],{"categories":2375},[234],{"categories":2377},[103],{"categories":2379},[259],{"categories":2381},[225],{"categories":2383},[],{"categories":2385},[158],{"categories":2387},[103],{"categories":2389},[150],{"categories":2391},[158],{"categories":2393},[158],{"categories":2395},[103],{"categories":2397},[103],{"categories":2399},[],{"categories":2401},[150],{"categories":2403},[103],{"categories":2405},[153],{"categories":2407},[225],{"categories":2409},[209],{"categories":2411},[],{"categories":2413},[],{"categories":2415},[],{"categories":2417},[158],{"categories":2419},[225],{"categories":2421},[209],{"categories":2423},[180],{"categories":2425},[103],{"categories":2427},[180],{"categories":2429},[158],{"categories":2431},[209],{"categories":2433},[103],{"categories":2435},[],{"categories":2437},[103],{"categories":2439},[209],{"categories":2441},[180],{"categories":2443},[153],{"categories":2445},[225],{"categories":2447},[103],{"categories":2449},[180],{"categories":2451},[234],{"categories":2453},[],{"categories":2455},[],{"categories":2457},[212],{"categories":2459},[103,225],{"categories":2461},[180],{"categories":2463},[103],{"categories":2465},[103],{"categories":2467},[158],{"categories":2469},[103],{"categories":2471},[158],{"categories":2473},[103],{"categories":2475},[103],{"categories":2477},[],{"categories":2479},[225],{"categories":2481},[209],{"categories":2483},[103],{"categories":2485},[212],{"categories":2487},[158],{"categories":2489},[234],{"categories":2491},[259],{"categories":2493},[],{"categories":2495},[103],{"categories":2497},[153],{"categories":2499},[158],{"categories":2501},[150],{"categories":2503},[158],{"categories":2505},[158],{"categories":2507},[161],{"categories":2509},[225],{"categories":2511},[103],{"categories":2513},[103],{"categories":2515},[],{"categories":2517},[],{"categories":2519},[],{"categories":2521},[259],{"categories":2523},[103],{"categories":2525},[180],{"categories":2527},[103],{"categories":2529},[103],{"categories":2531},[103],{"categories":2533},[],{"categories":2535},[212],{"categories":2537},[153],{"categories":2539},[158],{"categories":2541},[],{"categories":2543},[103],{"categories":2545},[158],{"categories":2547},[103],{"categories":2549},[259],{"categories":2551},[],{"categories":2553},[209],{"categories":2555},[209],{"categories":2557},[],{"categories":2559},[225],{"categories":2561},[103],{"categories":2563},[209],{"categories":2565},[103],{"categories":2567},[153],{"categories":2569},[],{"categories":2571},[180],{"categories":2573},[103],{"categories":2575},[103],{"categories":2577},[209],{"categories":2579},[158],{"categories":2581},[180],{"categories":2583},[],{"categories":2585},[158],{"categories":2587},[158],{"categories":2589},[209],{"categories":2591},[103],{"categories":2593},[103],{"categories":2595},[],{"categories":2597},[103],{"categories":2599},[103],{"categories":2601},[259],{"categories":2603},[180],{"categories":2605},[212],{"categories":2607},[212],{"categories":2609},[],{"categories":2611},[],{"categories":2613},[],{"categories":2615},[158],{"categories":2617},[158],{"categories":2619},[225],{"categories":2621},[225],{"categories":2623},[103],{"categories":2625},[103],{"categories":2627},[103],{"categories":2629},[103],{"categories":2631},[158],{"categories":2633},[],{"categories":2635},[],{"categories":2637},[103],{"categories":2639},[],{"categories":2641},[103],{"categories":2643},[158],{"categories":2645},[209],{"categories":2647},[103],{"categories":2649},[103],{"categories":2651},[],{"categories":2653},[161],{"categories":2655},[103],{"categories":2657},[209],{"categories":2659},[103],{"categories":2661},[153],{"categories":2663},[103],{"categories":2665},[234],{"categories":2667},[158],{"categories":2669},[103],{"categories":2671},[103],{"categories":2673},[158],{"categories":2675},[103],{"categories":2677},[225],{"categories":2679},[],{"categories":2681},[180],{"categories":2683},[158],{"categories":2685},[],{"categories":2687},[180],{"categories":2689},[158],{"categories":2691},[158],{"categories":2693},[103],{"categories":2695},[158],{"categories":2697},[],{"categories":2699},[153],{"categories":2701},[158],{"categories":2703},[],{"categories":2705},[225],{"categories":2707},[103],{"categories":2709},[150],{"categories":2711},[180],{"categories":2713},[259],{"categories":2715},[158],{"categories":2717},[103],{"categories":2719},[158],{"categories":2721},[150],{"categories":2723},[],{"categories":2725},[103],{"categories":2727},[],{"categories":2729},[],{"categories":2731},[209],{"categories":2733},[103,153],{"categories":2735},[158],{"categories":2737},[103],{"categories":2739},[],{"categories":2741},[150],{"categories":2743},[212],{"categories":2745},[103],{"categories":2747},[225],{"categories":2749},[103],{"categories":2751},[158],{"categories":2753},[103],{"categories":2755},[103],{"categories":2757},[103],{"categories":2759},[180],{"categories":2761},[158],{"categories":2763},[103],{"categories":2765},[],{"categories":2767},[],{"categories":2769},[158],{"categories":2771},[103],{"categories":2773},[259],{"categories":2775},[],{"categories":2777},[103],{"categories":2779},[158],{"categories":2781},[158],{"categories":2783},[],{"categories":2785},[158],{"categories":2787},[103],{"categories":2789},[234],{"categories":2791},[103],{"categories":2793},[212],{"categories":2795},[158],{"categories":2797},[103],{"categories":2799},[259],{"categories":2801},[],{"categories":2803},[103],{"categories":2805},[234],{"categories":2807},[209],{"categories":2809},[103],{"categories":2811},[103],{"categories":2813},[],{"categories":2815},[234],{"categories":2817},[180],{"categories":2819},[103],{"categories":2821},[103],{"categories":2823},[150],{"categories":2825},[103],{"categories":2827},[],{"categories":2829},[],{"categories":2831},[209],{"categories":2833},[103],{"categories":2835},[212],{"categories":2837},[234],{"categories":2839},[158],{"categories":2841},[234],{"categories":2843},[180],{"categories":2845},[],{"categories":2847},[103],{"categories":2849},[],{"categories":2851},[103],{"categories":2853},[158],{"categories":2855},[103],{"categories":2857},[103],{"categories":2859},[],{"categories":2861},[103,225],{"categories":2863},[180],{"categories":2865},[158],{"categories":2867},[225],{"categories":2869},[103],{"categories":2871},[150],{"categories":2873},[],{"categories":2875},[],{"categories":2877},[158],{"categories":2879},[103],{"categories":2881},[225],{"categories":2883},[150],{"categories":2885},[225],{"categories":2887},[225],{"categories":2889},[103],{"categories":2891},[234],{"categories":2893},[103],{"categories":2895},[225],{"categories":2897},[],{"categories":2899},[209,103],{"categories":2901},[259],{"categories":2903},[150],{"categories":2905},[],{"categories":2907},[103],{"categories":2909},[153],{"categories":2911},[153],{"categories":2913},[103],{"categories":2915},[103],{"categories":2917},[103],{"categories":2919},[225],{"categories":2921},[158],{"categories":2923},[180],{"categories":2925},[234],{"categories":2927},[209],{"categories":2929},[103],{"categories":2931},[103],{"categories":2933},[103],{"categories":2935},[103],{"categories":2937},[150],{"categories":2939},[103],{"categories":2941},[158],{"categories":2943},[158],{"categories":2945},[225],{"categories":2947},[180],{"categories":2949},[225],{"categories":2951},[],{"categories":2953},[],{"categories":2955},[212],{"categories":2957},[225],{"categories":2959},[103],{"categories":2961},[209],{"categories":2963},[103],{"categories":2965},[103],{"categories":2967},[103],{"categories":2969},[212],{"categories":2971},[103],{"categories":2973},[103],{"categories":2975},[103],{"categories":2977},[158],{"categories":2979},[158],{"categories":2981},[103,153],{"categories":2983},[],{"categories":2985},[209],{"categories":2987},[],{"categories":2989},[103],{"categories":2991},[180],{"categories":2993},[150],{"categories":2995},[150],{"categories":2997},[158],{"categories":2999},[158],{"categories":3001},[158],{"categories":3003},[103],{"categories":3005},[103],{"categories":3007},[153],{"categories":3009},[225],{"categories":3011},[234],{"categories":3013},[103],{"categories":3015},[],{"categories":3017},[180],{"categories":3019},[103],{"categories":3021},[103],{"categories":3023},[103],{"categories":3025},[103],{"categories":3027},[103],{"categories":3029},[225],{"categories":3031},[180],{"categories":3033},[225],{"categories":3035},[225],{"categories":3037},[103],{"categories":3039},[103],{"categories":3041},[103],{"categories":3043},[158],{"categories":3045},[180],{"categories":3047},[103],{"categories":3049},[158],{"categories":3051},[103],{"categories":3053},[103],{"categories":3055},[209],{"categories":3057},[103],{"categories":3059},[103],{"categories":3061},[259],{"categories":3063},[103],{"categories":3065},[161],{"categories":3067},[158],{"categories":3069},[103],{"categories":3071},[103],{"categories":3073},[180],{"categories":3075},[103],{"categories":3077},[158],{"categories":3079},[234],{"categories":3081},[103],{"categories":3083},[103],{"categories":3085},[153],{"categories":3087},[103],{"categories":3089},[],{"categories":3091},[103],{"categories":3093},[225],{"categories":3095},[103],{"categories":3097},[],{"categories":3099},[],{"categories":3101},[],{"categories":3103},[153],{"categories":3105},[103],{"categories":3107},[158],{"categories":3109},[180],{"categories":3111},[180],{"categories":3113},[180],{"categories":3115},[180],{"categories":3117},[],{"categories":3119},[150],{"categories":3121},[158],{"categories":3123},[180],{"categories":3125},[103],{"categories":3127},[150],{"categories":3129},[158],{"categories":3131},[103],{"categories":3133},[103,158],{"categories":3135},[158],{"categories":3137},[259],{"categories":3139},[180],{"categories":3141},[158],{"categories":3143},[180],{"categories":3145},[158],{"categories":3147},[103],{"categories":3149},[],{"categories":3151},[180],{"categories":3153},[234],{"categories":3155},[150],{"categories":3157},[103],{"categories":3159},[103],{"categories":3161},[],{"categories":3163},[225],{"categories":3165},[],{"categories":3167},[150],{"categories":3169},[158],{"categories":3171},[180],{"categories":3173},[103],{"categories":3175},[180],{"categories":3177},[150],{"categories":3179},[180],{"categories":3181},[180],{"categories":3183},[],{"categories":3185},[153],{"categories":3187},[158],{"categories":3189},[180],{"categories":3191},[180],{"categories":3193},[180],{"categories":3195},[180],{"categories":3197},[180],{"categories":3199},[180],{"categories":3201},[180],{"categories":3203},[180],{"categories":3205},[180],{"categories":3207},[180],{"categories":3209},[212],{"categories":3211},[150],{"categories":3213},[103],{"categories":3215},[103],{"categories":3217},[158],{"categories":3219},[158],{"categories":3221},[],{"categories":3223},[103,150],{"categories":3225},[],{"categories":3227},[158],{"categories":3229},[180],{"categories":3231},[158],{"categories":3233},[103],{"categories":3235},[103],{"categories":3237},[103],{"categories":3239},[103],{"categories":3241},[103],{"categories":3243},[158],{"categories":3245},[153],{"categories":3247},[158],{"categories":3249},[],{"categories":3251},[209],{"categories":3253},[180],{"categories":3255},[103],{"categories":3257},[],{"categories":3259},[],{"categories":3261},[158],{"categories":3263},[209],{"categories":3265},[103],{"categories":3267},[],{"categories":3269},[103],{"categories":3271},[],{"categories":3273},[234],{"categories":3275},[103],{"categories":3277},[],{"categories":3279},[],{"categories":3281},[180],{"categories":3283},[150],{"categories":3285},[103],{"categories":3287},[153],{"categories":3289},[103],{"categories":3291},[103],{"categories":3293},[103],{"categories":3295},[153],{"categories":3297},[209],{"categories":3299},[],{"categories":3301},[103],{"categories":3303},[180],{"categories":3305},[],{"categories":3307},[209],{"categories":3309},[103],{"categories":3311},[234],{"categories":3313},[103],{"categories":3315},[259],{"categories":3317},[],{"categories":3319},[234],{"categories":3321},[],{"categories":3323},[103],{"categories":3325},[],{"categories":3327},[158],{"categories":3329},[225],{"categories":3331},[],{"categories":3333},[153],{"categories":3335},[150],{"categories":3337},[158],{"categories":3339},[209],{"categories":3341},[225],{"categories":3343},[],{"categories":3345},[],{"categories":3347},[103],{"categories":3349},[150],{"categories":3351},[103],{"categories":3353},[234],{"categories":3355},[],{"categories":3357},[158],{"categories":3359},[158],{"categories":3361},[158],{"categories":3363},[180],{"categories":3365},[225],{"categories":3367},[103],{"categories":3369},[158],{"categories":3371},[161],{"categories":3373},[103],{"categories":3375},[158],{"categories":3377},[103],{"categories":3379},[161],{"categories":3381},[234],{"categories":3383},[180],{"categories":3385},[],{"categories":3387},[234],{"categories":3389},[],{"categories":3391},[225],{"categories":3393},[158],{"categories":3395},[],{"categories":3397},[103],{"categories":3399},[103],{"categories":3401},[158],{"categories":3403},[153],{"categories":3405},[150],{"categories":3407},[103],{"categories":3409},[209],{"categories":3411},[225],{"categories":3413},[225],{"categories":3415},[103],{"categories":3417},[212],{"categories":3419},[158],{"categories":3421},[103],{"categories":3423},[158],{"categories":3425},[103],{"categories":3427},[153],{"categories":3429},[209],{"categories":3431},[225],{"categories":3433},[158],{"categories":3435},[103],{"categories":3437},[103],{"categories":3439},[158],{"categories":3441},[103],{"categories":3443},[180],{"categories":3445},[],{"categories":3447},[150],{"categories":3449},[103],{"categories":3451},[103],{"categories":3453},[103],{"categories":3455},[158],{"categories":3457},[103],{"categories":3459},[103],{"categories":3461},[],{"categories":3463},[103],{"categories":3465},[209],{"categories":3467},[153],{"categories":3469},[180],{"categories":3471},[158],{"categories":3473},[103],{"categories":3475},[103],{"categories":3477},[209],{"categories":3479},[158],{"categories":3481},[103],{"categories":3483},[234],{"categories":3485},[212],{"categories":3487},[103],{"categories":3489},[103],{"categories":3491},[180],{"categories":3493},[103],{"categories":3495},[158],{"categories":3497},[259],{"categories":3499},[103],{"categories":3501},[158],{"categories":3503},[212],{"categories":3505},[],{"categories":3507},[158],{"categories":3509},[225],{"categories":3511},[209],{"categories":3513},[103],{"categories":3515},[150],{"categories":3517},[225],{"categories":3519},[153],{"categories":3521},[225],{"categories":3523},[103],{"categories":3525},[],{"categories":3527},[158],{"categories":3529},[158],{"categories":3531},[103],{"categories":3533},[103],{"categories":3535},[212],{"categories":3537},[],{"categories":3539},[180],{"categories":3541},[],{"categories":3543},[180],{"categories":3545},[103],{"categories":3547},[103],{"categories":3549},[158],{"categories":3551},[158],{"categories":3553},[158],{"categories":3555},[],{"categories":3557},[180],{"categories":3559},[103],{"categories":3561},[],{"categories":3563},[103],{"categories":3565},[103],{"categories":3567},[],{"categories":3569},[209],{"categories":3571},[225],{"categories":3573},[158],{"categories":3575},[103],{"categories":3577},[103],{"categories":3579},[234],{"categories":3581},[103],{"categories":3583},[103],{"categories":3585},[150],{"categories":3587},[],{"categories":3589},[103],{"categories":3591},[],{"categories":3593},[150],{"categories":3595},[180],{"categories":3597},[225],{"categories":3599},[103],{"categories":3601},[103],{"categories":3603},[103],{"categories":3605},[225],{"categories":3607},[180],{"categories":3609},[209],{"categories":3611},[103],{"categories":3613},[103],{"categories":3615},[103],{"categories":3617},[180],{"categories":3619},[209],{"categories":3621},[103],{"categories":3623},[180],{"categories":3625},[209],{"categories":3627},[103],{"categories":3629},[180],{"categories":3631},[158],{"categories":3633},[158],{"categories":3635},[158],{"categories":3637},[225],{"categories":3639},[180],{"categories":3641},[158],{"categories":3643},[158],{"categories":3645},[103],{"categories":3647},[225],{"categories":3649},[209],{"categories":3651},[103],{"categories":3653},[],{"categories":3655},[158],{"categories":3657},[],{"categories":3659},[],{"categories":3661},[],{"categories":3663},[153],{"categories":3665},[158],{"categories":3667},[103],{"categories":3669},[158],{"categories":3671},[150],{"categories":3673},[158],{"categories":3675},[234],{"categories":3677},[158],{"categories":3679},[],{"categories":3681},[158],{"categories":3683},[],{"categories":3685},[150],{"categories":3687},[158],{"categories":3689},[],{"categories":3691},[158],{"categories":3693},[103],{"categories":3695},[103],{"categories":3697},[180],{"categories":3699},[103],{"categories":3701},[158],{"categories":3703},[103],{"categories":3705},[103],{"categories":3707},[180],{"categories":3709},[158],{"categories":3711},[225],{"categories":3713},[209],{"categories":3715},[150],{"categories":3717},[],{"categories":3719},[158],{"categories":3721},[209],{"categories":3723},[259],{"categories":3725},[180],{"categories":3727},[103],{"categories":3729},[209],{"categories":3731},[103],{"categories":3733},[150],{"categories":3735},[],{"categories":3737},[158],{"categories":3739},[103],{"categories":3741},[103],{"categories":3743},[158],{"categories":3745},[103],{"categories":3747},[209],{"categories":3749},[],{"categories":3751},[158],{"categories":3753},[161],{"categories":3755},[180],{"categories":3757},[158],{"categories":3759},[153],{"categories":3761},[],{"categories":3763},[103],{"categories":3765},[161],{"categories":3767},[103],{"categories":3769},[158],{"categories":3771},[180],{"categories":3773},[150],{"categories":3775},[259],{"categories":3777},[103],{"categories":3779},[103],{"categories":3781},[103],{"categories":3783},[180],{"categories":3785},[153],{"categories":3787},[103],{"categories":3789},[209],{"categories":3791},[180],{"categories":3793},[259],{"categories":3795},[103],{"categories":3797},[],{"categories":3799},[],{"categories":3801},[103],{"categories":3803},[259],{"categories":3805},[212],{"categories":3807},[158],{"categories":3809},[158],{"categories":3811},[180],{"categories":3813},[103],{"categories":3815},[150],{"categories":3817},[103],{"categories":3819},[209],{"categories":3821},[158],{"categories":3823},[158],{"categories":3825},[103],{"categories":3827},[234],{"categories":3829},[103],{"categories":3831},[158],{"categories":3833},[],{"categories":3835},[103],{"categories":3837},[103],{"categories":3839},[103],{"categories":3841},[180],{"categories":3843},[150],{"categories":3845},[],{"categories":3847},[103],{"categories":3849},[103],{"categories":3851},[225],{"categories":3853},[209],{"categories":3855},[103],{"categories":3857},[103,158],{"categories":3859},[234,153],{"categories":3861},[103],{"categories":3863},[103],{"categories":3865},[],{"categories":3867},[158],{"categories":3869},[],{"categories":3871},[225],{"categories":3873},[103],{"categories":3875},[225],{"categories":3877},[],{"categories":3879},[103],{"categories":3881},[180],{"categories":3883},[103],{"categories":3885},[],{"categories":3887},[158],{"categories":3889},[103],{"categories":3891},[],{"categories":3893},[209],{"categories":3895},[103],{"categories":3897},[158],{"categories":3899},[103],{"categories":3901},[150],{"categories":3903},[158],{"categories":3905},[103],{"categories":3907},[],{"categories":3909},[259],{"categories":3911},[234],{"categories":3913},[153],{"categories":3915},[153],{"categories":3917},[103],{"categories":3919},[150],{"categories":3921},[150],{"categories":3923},[103],{"categories":3925},[158],{"categories":3927},[103],{"categories":3929},[103],{"categories":3931},[225],{"categories":3933},[150],{"categories":3935},[103],{"categories":3937},[234],{"categories":3939},[180],{"categories":3941},[103],{"categories":3943},[103],{"categories":3945},[158],{"categories":3947},[103],{"categories":3949},[],{"categories":3951},[225],{"categories":3953},[],{"categories":3955},[225],{"categories":3957},[158],{"categories":3959},[150],{"categories":3961},[],{"categories":3963},[259],{"categories":3965},[103],{"categories":3967},[225],{"categories":3969},[],{"categories":3971},[180],{"categories":3973},[158],{"categories":3975},[225],{"categories":3977},[103],{"categories":3979},[158],{"categories":3981},[225],{"categories":3983},[158],{"categories":3985},[180],{"categories":3987},[150],{"categories":3989},[180],{"categories":3991},[225],{"categories":3993},[103],{"categories":3995},[209],{"categories":3997},[103],{"categories":3999},[103],{"categories":4001},[103],{"categories":4003},[103],{"categories":4005},[103],{"categories":4007},[158],{"categories":4009},[103],{"categories":4011},[158],{"categories":4013},[103],{"categories":4015},[103],{"categories":4017},[150],{"categories":4019},[103],{"categories":4021},[158],{"categories":4023},[209],{"categories":4025},[158],{"categories":4027},[158],{"categories":4029},[150],{"categories":4031},[158],{"categories":4033},[209],{"categories":4035},[],{"categories":4037},[103],{"categories":4039},[212],{"categories":4041},[103],{"categories":4043},[103],{"categories":4045},[225],{"categories":4047},[],{"categories":4049},[158],{"categories":4051},[234],{"categories":4053},[103],{"categories":4055},[180],{"categories":4057},[234],{"categories":4059},[158],{"categories":4061},[153],{"categories":4063},[153],{"categories":4065},[103],{"categories":4067},[103],{"categories":4069},[103],{"categories":4071},[150],{"categories":4073},[],{"categories":4075},[103],{"categories":4077},[158],{"categories":4079},[158],{"categories":4081},[103],{"categories":4083},[225],{"categories":4085},[],{"categories":4087},[150],{"categories":4089},[103],{"categories":4091},[103],{"categories":4093},[158],{"categories":4095},[158],{"categories":4097},[],{"categories":4099},[225],{"categories":4101},[225],{"categories":4103},[234],{"categories":4105},[209],{"categories":4107},[],{"categories":4109},[103],{"categories":4111},[158],{"categories":4113},[150],{"categories":4115},[103],{"categories":4117},[225],{"categories":4119},[150],{"categories":4121},[180],{"categories":4123},[180],{"categories":4125},[],{"categories":4127},[180],{"categories":4129},[158],{"categories":4131},[209],{"categories":4133},[212],{"categories":4135},[103],{"categories":4137},[],{"categories":4139},[180],{"categories":4141},[225],{"categories":4143},[103],{"categories":4145},[153],{"categories":4147},[103],{"categories":4149},[150],{"categories":4151},[259],{"categories":4153},[150],{"categories":4155},[],{"categories":4157},[],{"categories":4159},[158],{"categories":4161},[180],{"categories":4163},[],{"categories":4165},[158],{"categories":4167},[158],{"categories":4169},[158],{"categories":4171},[],{"categories":4173},[103],{"categories":4175},[],{"categories":4177},[180],{"categories":4179},[150],{"categories":4181},[209],{"categories":4183},[103],{"categories":4185},[180],{"categories":4187},[103],{"categories":4189},[180],{"categories":4191},[],{"categories":4193},[180],{"categories":4195},[150],{"categories":4197},[158],{"categories":4199},[103],{"categories":4201},[],{"categories":4203},[225],{"categories":4205},[158],{"categories":4207},[161],{"categories":4209},[158],{"categories":4211},[150],{"categories":4213},[],{"categories":4215},[],{"categories":4217},[],{"categories":4219},[209],{"categories":4221},[158],{"categories":4223},[103],{"categories":4225},[103],{"categories":4227},[],{"categories":4229},[],{"categories":4231},[],{"categories":4233},[209],{"categories":4235},[],{"categories":4237},[158],{"categories":4239},[103],{"categories":4241},[150],{"categories":4243},[],{"categories":4245},[],{"categories":4247},[209],{"categories":4249},[103],{"categories":4251},[180],{"categories":4253},[],{"categories":4255},[234],{"categories":4257},[180],{"categories":4259},[234],{"categories":4261},[212],{"categories":4263},[103],{"categories":4265},[103],{"categories":4267},[],{"categories":4269},[],{"categories":4271},[158],{"categories":4273},[],{"categories":4275},[103],{"categories":4277},[],{"categories":4279},[158],{"categories":4281},[103],{"categories":4283},[],{"categories":4285},[158],{"categories":4287},[103],{"categories":4289},[180],{"categories":4291},[103],{"categories":4293},[234],{"categories":4295},[153],{"categories":4297},[103],{"categories":4299},[103],{"categories":4301},[212],{"categories":4303},[158],{"categories":4305},[158],{"categories":4307},[],{"categories":4309},[],{"categories":4311},[103],{"categories":4313},[],{"categories":4315},[180],{"categories":4317},[153],{"categories":4319},[],{"categories":4321},[],{"categories":4323},[209],{"categories":4325},[150],{"categories":4327},[],{"categories":4329},[153],{"categories":4331},[234],{"categories":4333},[103],{"categories":4335},[225],{"categories":4337},[150],{"categories":4339},[212],{"categories":4341},[153],{"categories":4343},[225],{"categories":4345},[225],{"categories":4347},[],{"categories":4349},[103],{"categories":4351},[],{"categories":4353},[158],{"categories":4355},[150],{"categories":4357},[209],{"categories":4359},[150],{"categories":4361},[158],{"categories":4363},[259],{"categories":4365},[103],{"categories":4367},[103],{"categories":4369},[150],{"categories":4371},[158],{"categories":4373},[],{"categories":4375},[103],{"categories":4377},[225],{"categories":4379},[180],{"categories":4381},[225],{"categories":4383},[103],{"categories":4385},[],{"categories":4387},[209],{"categories":4389},[180],{"categories":4391},[150],{"categories":4393},[158],{"categories":4395},[103],{"categories":4397},[103],{"categories":4399},[158],{"categories":4401},[103],{"categories":4403},[153],{"categories":4405},[158],{"categories":4407},[158,259],{"categories":4409},[158],{"categories":4411},[225],{"categories":4413},[103],{"categories":4415},[103],{"categories":4417},[212],{"categories":4419},[158],{"categories":4421},[234],{"categories":4423},[158],{"categories":4425},[153],{"categories":4427},[],{"categories":4429},[158],{"categories":4431},[103],{"categories":4433},[153],{"categories":4435},[],{"categories":4437},[],{"categories":4439},[103],{"categories":4441},[158],{"categories":4443},[212],{"categories":4445},[234],{"categories":4447},[103],{"categories":4449},[103],{"categories":4451},[158],{"categories":4453},[],{"categories":4455},[180],{"categories":4457},[],{"categories":4459},[180],{"categories":4461},[225],{"categories":4463},[150],{"categories":4465},[225],{"categories":4467},[103],{"categories":4469},[158],{"categories":4471},[103],{"categories":4473},[103],{"categories":4475},[234],{"categories":4477},[225],{"categories":4479},[],{"categories":4481},[180],{"categories":4483},[103],{"categories":4485},[],{"categories":4487},[103],{"categories":4489},[103],{"categories":4491},[103],{"categories":4493},[158],{"categories":4495},[103],{"categories":4497},[161],{"categories":4499},[158],{"categories":4501},[103],{"categories":4503},[103],{"categories":4505},[103],{"categories":4507},[103],{"categories":4509},[153],{"categories":4511},[],{"categories":4513},[161],{"categories":4515},[180],{"categories":4517},[158],{"categories":4519},[103],{"categories":4521},[225],{"categories":4523},[],{"categories":4525},[225],{"categories":4527},[225],{"categories":4529},[158],{"categories":4531},[225],{"categories":4533},[103],{"categories":4535},[103],{"categories":4537},[225],{"categories":4539},[103],{"categories":4541},[158],{"categories":4543},[180],{"categories":4545},[103],{"categories":4547},[103],{"categories":4549},[103],{"categories":4551},[153],{"categories":4553},[103],{"categories":4555},[158],{"categories":4557},[209],{"categories":4559},[],{"categories":4561},[212],{"categories":4563},[158],{"categories":4565},[103],{"categories":4567},[],{"categories":4569},[103],{"categories":4571},[103],{"categories":4573},[180],{"categories":4575},[103],{"categories":4577},[158],{"categories":4579},[234],{"categories":4581},[],{"categories":4583},[],{"categories":4585},[180],{"categories":4587},[180],{"categories":4589},[103],{"categories":4591},[234],{"categories":4593},[103],{"categories":4595},[150],{"categories":4597},[158],{"categories":4599},[103],{"categories":4601},[158],{"categories":4603},[158],{"categories":4605},[103],{"categories":4607},[153],{"categories":4609},[],{"categories":4611},[212],{"categories":4613},[],{"categories":4615},[180],{"categories":4617},[103],{"categories":4619},[212],{"categories":4621},[103],{"categories":4623},[225],{"categories":4625},[225],{"categories":4627},[225],{"categories":4629},[158],{"categories":4631},[158],{"categories":4633},[209],{"categories":4635},[212],{"categories":4637},[212],{"categories":4639},[],{"categories":4641},[180],{"categories":4643},[103],{"categories":4645},[103],{"categories":4647},[225],{"categories":4649},[],{"categories":4651},[180],{"categories":4653},[180],{"categories":4655},[180],{"categories":4657},[],{"categories":4659},[158],{"categories":4661},[103],{"categories":4663},[],{"categories":4665},[150],{"categories":4667},[153],{"categories":4669},[],{"categories":4671},[103],{"categories":4673},[103],{"categories":4675},[],{"categories":4677},[225],{"categories":4679},[],{"categories":4681},[],{"categories":4683},[],{"categories":4685},[],{"categories":4687},[103],{"categories":4689},[180],{"categories":4691},[],{"categories":4693},[],{"categories":4695},[103],{"categories":4697},[103],{"categories":4699},[103],{"categories":4701},[212],{"categories":4703},[103],{"categories":4705},[212],{"categories":4707},[],{"categories":4709},[212],{"categories":4711},[212],{"categories":4713},[259],{"categories":4715},[158],{"categories":4717},[225],{"categories":4719},[],{"categories":4721},[],{"categories":4723},[212],{"categories":4725},[225],{"categories":4727},[225],{"categories":4729},[225],{"categories":4731},[],{"categories":4733},[150],{"categories":4735},[225],{"categories":4737},[225],{"categories":4739},[150],{"categories":4741},[225],{"categories":4743},[153],{"categories":4745},[225],{"categories":4747},[225],{"categories":4749},[225],{"categories":4751},[212],{"categories":4753},[180],{"categories":4755},[180],{"categories":4757},[103],{"categories":4759},[225],{"categories":4761},[212],{"categories":4763},[259],{"categories":4765},[212],{"categories":4767},[212],{"categories":4769},[212],{"categories":4771},[],{"categories":4773},[153],{"categories":4775},[],{"categories":4777},[259],{"categories":4779},[225],{"categories":4781},[225],{"categories":4783},[225],{"categories":4785},[158],{"categories":4787},[180,153],{"categories":4789},[212],{"categories":4791},[],{"categories":4793},[],{"categories":4795},[212],{"categories":4797},[],{"categories":4799},[212],{"categories":4801},[180],{"categories":4803},[158],{"categories":4805},[],{"categories":4807},[225],{"categories":4809},[103],{"categories":4811},[209],{"categories":4813},[],{"categories":4815},[103],{"categories":4817},[],{"categories":4819},[180],{"categories":4821},[150],{"categories":4823},[212],{"categories":4825},[],{"categories":4827},[225],{"categories":4829},[180],[4831,4883,4956,5012],{"id":4832,"title":4833,"ai":4834,"body":4839,"categories":4859,"created_at":104,"date_modified":104,"description":96,"extension":105,"faq":104,"featured":106,"kicker_label":104,"meta":4860,"navigation":129,"path":4872,"published_at":4873,"question":104,"scraped_at":4873,"seo":4874,"sitemap":4875,"source_id":4876,"source_name":4877,"source_type":137,"source_url":4866,"stem":4878,"tags":4879,"thumbnail_url":104,"tldr":4880,"tweet":104,"unknown_tags":4881,"__hash__":4882},"summaries\u002Fsummaries\u002F550d76167889c102-revisiting-the-link-between-ai-literacy-and-usage-summary.md","Revisiting the Link Between AI Literacy and Usage",{"provider":7,"model":8,"input_tokens":4835,"output_tokens":4836,"processing_time_ms":4837,"cost_usd":4838},4114,466,2777,0.0017275,{"type":14,"value":4840,"toc":4855},[4841,4845,4848,4852],[17,4842,4844],{"id":4843},"deconstructing-the-literacy-usage-paradox","Deconstructing the Literacy-Usage Paradox",[22,4846,4847],{},"Recent discourse has frequently cited a counterintuitive trend: users with lower digital literacy appear to show higher engagement with AI tools. This paper re-examines this claim by shifting the focus from generalized 'AI receptivity' to 'AI adoption breadth.' The authors argue that the perceived link between low literacy and high usage is often an artifact of how AI interaction is measured. When researchers look at specific tool types rather than aggregate usage, the relationship becomes more nuanced, suggesting that different AI interfaces cater to different cognitive and technical skill sets.",[17,4849,4851],{"id":4850},"adoption-breadth-as-a-metric","Adoption Breadth as a Metric",[22,4853,4854],{},"Instead of treating 'AI usage' as a monolithic behavior, the authors propose measuring 'adoption breadth'—the number and variety of distinct AI-powered applications a user integrates into their workflow. The study indicates that high-literacy users may be more selective, focusing on tools that offer specific, high-utility outcomes, whereas lower-literacy users might engage with a wider, more superficial array of tools that offer immediate, low-friction gratification. This distinction is critical for product builders: designing for 'receptivity' (broad appeal) requires a different UX strategy than designing for 'utility' (targeted, high-complexity tasks). The findings suggest that the barrier to entry for AI is not just technical skill, but the ability to identify which tools provide genuine value versus those that merely provide novelty.",{"title":96,"searchDepth":97,"depth":97,"links":4856},[4857,4858],{"id":4843,"depth":97,"text":4844},{"id":4850,"depth":97,"text":4851},[103],{"content_references":4861,"triage":4868},[4862],{"type":4863,"title":4864,"author":4865,"url":4866,"context":4867},"paper","AI Receptivity or AI Adoption Breadth? A Tool-Specific Reanalysis of the Lower-Literacy\u002FHigher-Usage Link","Not specified","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.13734","cited",{"relevance":4869,"novelty":126,"quality":126,"actionability":4869,"composite":4870,"reasoning":4871},3,3.45,"Category: AI & LLMs. The article provides insights into how AI adoption varies with digital literacy, which is relevant for product builders considering user engagement strategies. It introduces the concept of 'adoption breadth' as a new metric, offering a nuanced perspective that could inform design and UX decisions.","\u002Fsummaries\u002F550d76167889c102-revisiting-the-link-between-ai-literacy-and-usage-summary","2026-06-15 12:57:03",{"title":4833,"description":96},{"loc":4872},"550d76167889c102","arXiv cs.AI","summaries\u002F550d76167889c102-revisiting-the-link-between-ai-literacy-and-usage-summary",[141,142,143],"The paper challenges the assumption that lower digital literacy correlates with higher AI usage, suggesting instead that 'adoption breadth'—the variety of tools used—is a more accurate metric for understanding AI engagement.",[],"aYTDIHT_uNyz7VZyhTzhZnPnCAKTTs3-nAP8MWI18XA",{"id":4884,"title":4885,"ai":4886,"body":4891,"categories":4939,"created_at":104,"date_modified":104,"description":96,"extension":105,"faq":104,"featured":106,"kicker_label":104,"meta":4940,"navigation":129,"path":4945,"published_at":4946,"question":104,"scraped_at":4946,"seo":4947,"sitemap":4948,"source_id":4949,"source_name":4877,"source_type":137,"source_url":4950,"stem":4951,"tags":4952,"thumbnail_url":104,"tldr":4953,"tweet":104,"unknown_tags":4954,"__hash__":4955},"summaries\u002Fsummaries\u002Fbf30610d460fad7a-a-tutorial-on-world-models-and-physical-ai-summary.md","A Tutorial on World Models and Physical AI",{"provider":7,"model":8,"input_tokens":4887,"output_tokens":4888,"processing_time_ms":4889,"cost_usd":4890},4062,435,2700,0.001668,{"type":14,"value":4892,"toc":4934},[4893,4897,4900,4904,4907,4927,4931],[17,4894,4896],{"id":4895},"the-role-of-world-models-in-physical-ai","The Role of World Models in Physical AI",[22,4898,4899],{},"World models represent a shift from purely reactive AI systems to those capable of internal simulation. By learning a predictive model of the environment, an agent can simulate the consequences of its actions before executing them in the real world. This capability is essential for Physical AI, where agents must navigate complex, dynamic, and often unpredictable physical spaces.",[17,4901,4903],{"id":4902},"core-components-of-predictive-simulation","Core Components of Predictive Simulation",[22,4905,4906],{},"The primary objective of these models is to bridge the gap between abstract intelligence and physical reality. This involves:",[33,4908,4909,4915,4921],{},[36,4910,4911,4914],{},[39,4912,4913],{},"State Representation:"," Compressing high-dimensional sensory input (like video or lidar) into a latent space that captures the essential physics of the environment.",[36,4916,4917,4920],{},[39,4918,4919],{},"Action Dynamics:"," Learning a transition function that predicts how the state will evolve given a specific action or sequence of actions.",[36,4922,4923,4926],{},[39,4924,4925],{},"Planning and Reasoning:"," Utilizing the learned model to perform look-ahead searches or trajectory optimization, allowing the agent to evaluate potential outcomes and select the most effective path toward a goal.",[17,4928,4930],{"id":4929},"practical-implications-for-embodied-agents","Practical Implications for Embodied Agents",[22,4932,4933],{},"For builders, the transition toward world models suggests a move away from end-to-end imitation learning toward architectures that explicitly model causality and physical constraints. This approach is intended to improve sample efficiency and safety, as agents can 'fail' in simulation rather than in the physical environment. The research highlights that as we move toward more autonomous robotics and physical agents, the ability to internalize the 'laws' of the environment becomes the primary differentiator between brittle systems and robust, adaptive ones.",{"title":96,"searchDepth":97,"depth":97,"links":4935},[4936,4937,4938],{"id":4895,"depth":97,"text":4896},{"id":4902,"depth":97,"text":4903},{"id":4929,"depth":97,"text":4930},[103],{"content_references":4941,"triage":4942},[],{"relevance":126,"novelty":4869,"quality":126,"actionability":4869,"composite":4943,"reasoning":4944},3.6,"Category: AI & LLMs. The article discusses world models and their implications for Physical AI, which is relevant to AI engineering and addresses the audience's interest in practical applications of AI. It provides insights into how predictive models can enhance decision-making for AI agents, but lacks specific frameworks or tools that the audience could directly implement.","\u002Fsummaries\u002Fbf30610d460fad7a-a-tutorial-on-world-models-and-physical-ai-summary","2026-06-12 12:57:13",{"title":4885,"description":96},{"loc":4945},"bf30610d460fad7a","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.12783","summaries\u002Fbf30610d460fad7a-a-tutorial-on-world-models-and-physical-ai-summary",[141,143,142],"The provided source is a placeholder for a research paper on World Models and Physical AI, which explores how AI agents can learn internal representations of the physical world to improve decision-making and interaction.",[],"RSthAszLTngHU08ks1MEa_xOq26-M8O_kC1LHo92fYw",{"id":4957,"title":4958,"ai":4959,"body":4964,"categories":4992,"created_at":104,"date_modified":104,"description":96,"extension":105,"faq":104,"featured":106,"kicker_label":104,"meta":4993,"navigation":129,"path":5002,"published_at":5003,"question":104,"scraped_at":5003,"seo":5004,"sitemap":5005,"source_id":5006,"source_name":4877,"source_type":137,"source_url":4997,"stem":5007,"tags":5008,"thumbnail_url":104,"tldr":5009,"tweet":104,"unknown_tags":5010,"__hash__":5011},"summaries\u002Fsummaries\u002Ff55a53594a64c586-scalable-uncertainty-reasoning-in-knowledge-graphs-summary.md","Scalable Uncertainty Reasoning in Knowledge Graphs",{"provider":7,"model":8,"input_tokens":4960,"output_tokens":4961,"processing_time_ms":4962,"cost_usd":4963},4085,481,3016,0.00174275,{"type":14,"value":4965,"toc":4987},[4966,4970,4973,4977,4980,4984],[17,4967,4969],{"id":4968},"the-challenge-of-uncertainty-in-knowledge-graphs","The Challenge of Uncertainty in Knowledge Graphs",[22,4971,4972],{},"Traditional knowledge graphs (KGs) often operate under a closed-world or deterministic assumption, which fails to capture the inherent ambiguity of real-world data. As KGs grow to include millions or billions of facts, representing and reasoning over uncertainty—such as the confidence level of a specific relationship or the probability of an entity's attribute—becomes computationally prohibitive. This paper explores techniques to maintain logical consistency and query performance while integrating probabilistic weights into large-scale graph structures.",[17,4974,4976],{"id":4975},"scalable-reasoning-architectures","Scalable Reasoning Architectures",[22,4978,4979],{},"The authors propose a framework for uncertainty reasoning that avoids the exponential complexity typically associated with probabilistic graphical models. By leveraging approximation algorithms and localized reasoning, the approach allows for the propagation of uncertainty scores across graph paths without requiring a global re-computation of the entire knowledge base. This is particularly relevant for applications where KGs serve as the backbone for retrieval-augmented generation (RAG) or automated decision-making systems, where the reliability of the underlying data directly impacts the quality of the output.",[17,4981,4983],{"id":4982},"practical-implications-for-ai-systems","Practical Implications for AI Systems",[22,4985,4986],{},"For builders, the research highlights the trade-off between expressive power and system latency. The authors demonstrate that by constraining the scope of uncertainty propagation, it is possible to achieve near-real-time query performance on large datasets. This work provides a foundation for developers looking to move beyond simple triple-store architectures toward more robust, confidence-aware knowledge representations that can better handle noisy or incomplete data sources.",{"title":96,"searchDepth":97,"depth":97,"links":4988},[4989,4990,4991],{"id":4968,"depth":97,"text":4969},{"id":4975,"depth":97,"text":4976},{"id":4982,"depth":97,"text":4983},[103],{"content_references":4994,"triage":4999},[4995],{"type":4863,"title":4958,"publisher":4996,"url":4997,"context":4998},"arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.16568","reviewed",{"relevance":125,"novelty":126,"quality":126,"actionability":4869,"composite":5000,"reasoning":5001},4.15,"Category: AI & LLMs. The article directly addresses the challenges of integrating uncertainty into knowledge graphs, which is crucial for AI-powered product builders. It provides insights into scalable reasoning architectures that can enhance the reliability of AI systems, making it relevant and actionable for developers looking to implement these concepts.","\u002Fsummaries\u002Ff55a53594a64c586-scalable-uncertainty-reasoning-in-knowledge-graphs-summary","2026-05-19 07:00:55",{"title":4958,"description":96},{"loc":5002},"f55a53594a64c586","summaries\u002Ff55a53594a64c586-scalable-uncertainty-reasoning-in-knowledge-graphs-summary",[141,142,143],"This paper addresses the computational challenges of managing probabilistic data in large-scale knowledge graphs, proposing methods for scalable uncertainty reasoning.",[],"0mI_9HrVdHiMqDFlBQ3fLzX7eooCfci5MmgFR5-QJ0I",{"id":5013,"title":5014,"ai":5015,"body":5021,"categories":5119,"created_at":104,"date_modified":104,"description":5120,"extension":105,"faq":104,"featured":106,"kicker_label":104,"meta":5121,"navigation":129,"path":5122,"published_at":5123,"question":104,"scraped_at":5124,"seo":5125,"sitemap":5126,"source_id":5127,"source_name":5128,"source_type":5129,"source_url":5130,"stem":5131,"tags":5132,"thumbnail_url":104,"tldr":5133,"tweet":104,"unknown_tags":5134,"__hash__":5135},"summaries\u002Fsummaries\u002Fa36d3ecc8575fbd8-humanoids-sprint-toward-humans-ai-eyes-post-transf-summary.md","Humanoids Sprint Toward Humans, AI Eyes Post-Transformer Era",{"provider":7,"model":5016,"input_tokens":5017,"output_tokens":5018,"processing_time_ms":5019,"cost_usd":5020},"x-ai\u002Fgrok-4.1-fast",7840,2081,21950,0.002586,{"type":14,"value":5022,"toc":5113},[5023,5027,5030,5033,5039,5043,5046,5049,5052,5057,5061,5064,5067,5070,5075,5080,5084],[17,5024,5026],{"id":5025},"humanoids-achieve-near-human-athleticism-and-dexterity","Humanoids Achieve Near-Human Athleticism and Dexterity",[22,5028,5029],{},"China and South Korea lead humanoid breakthroughs, pushing speed, sports skills, and manipulation toward human levels. KIST's V0.7 humanoid (75kg, 5'5\") runs 12km\u002Fh on flat ground, jumps 30cm steps, and performs soccer drills plus moonwalks. Built in-house with quasi-direct drive motors (knee: 320Nm torque), high-torque low-ratio gearboxes, and deep RL trained on human motion data, it uses proprioception for uneven terrain without cameras. Future targets: 14km\u002Fh, 40cm steps, ladder climbing. Unitree G1, trained via Leighton's latent action space on 5 hours of amateur tennis data, hits 96.5% rally success over 10,000 trials from fore\u002Fbackcourt, blending RL and simulation for dynamic sports like soccer or parkour.",[22,5031,5032],{},"Speed claims escalate: Unitree's Bolt reaches 10m\u002Fs (near Usain Bolt's 10.44m\u002Fs average), with founder Wang Xingxing predicting sub-10s 100m sprints by mid-year. Challenge remains generalization—controlled demos falter in unpredictable environments. Hands advance too: Tasbot's DG5FS (20 DoF, 880g, back-drivable joints for safe impacts) and Samsung's tendon-driven tactile hands target dexterous manipulation. Market for five-finger hands projected at $876M by 2030.",[5034,5035,5036],"blockquote",{},[22,5037,5038],{},"\"Humanoid robots may soon rival or even beat the fastest human ever in sprinting.\" — Wang Xingxing, Unitree founder",[17,5040,5042],{"id":5041},"exotic-robotics-tackle-endurance-sustainability-and-safety","Exotic Robotics Tackle Endurance, Sustainability, and Safety",[22,5044,5045],{},"Non-humanoid innovations address deployment hurdles. Cranfield's Wanderbot uses wind-powered Savonius turbine and Jansen linkage for battery-free movement (20% typical energy drain), ideal for deserts\u002Fplanets; 3D-printed for on-site repairs, low TRL but eyed for space. NUS's Ostrobot, fish-inspired with lab-grown antagonistic muscles, self-trains to 467mm\u002Fmin swim speed (3x standard), 7.05mN force—controlled via electricity\u002Fsound.",[22,5047,5048],{},"Safety failures highlight real-world gaps: Agibot X2 at hot pot restaurant swung erratically, smashing dishes near boiling soup—blamed on guest proximity, underscoring demo-to-deployment risks. Counter: Oklahoma State's neuradaptive system reads EEG error-related potentials (ERPs) via cap, adapting in ms for nuclear\u002Fdeep-sea tasks; uses NVIDIA Isaac Lab\u002FSim, signal temporal logic for rules, personalizing to user brains—extends to prosthetics.",[22,5050,5051],{},"Sustainability: Seoul Nat'l U.'s compostable soft robot (PGS elastomer) endures 1M cycles, biodegradable electronics\u002Fsensors (curvature, strain, pH); decomposes tox-free in months. Production scales: UBTech-Seamens deal targets 10k units\u002Fyear by 2026, leveraging digital sim\u002Fmanufacturing amid 1.4B yuan orders.",[5034,5053,5054],{},[22,5055,5056],{},"\"Robots that look great in controlled demos can become a problem fast in crowded, unpredictable, real-world spaces.\"",[17,5058,5060],{"id":5059},"ai-architectures-and-capabilities-signal-paradigm-shifts","AI Architectures and Capabilities Signal Paradigm Shifts",[22,5062,5063],{},"Sam Altman declares transformers (ChatGPT's backbone) inefficient for long contexts—10x length demands 100x compute—and ripe for replacement, akin to transformers over LSTMs. AI aids discovery, accelerating loops toward AGI in 2 years, programming agents as next boom (one-person companies, AI CEOs). Mamba exemplifies efficient alternatives. Early OpenAI: apartment origins, rapid ideation.",[22,5065,5066],{},"Apple's Leto reconstructs 3D objects from one image with consistent lighting\u002Freflections; trained on 150-view\u002F3-light objects, compresses to latent rep then reconstructs. Inspio World FM builds real-time 3D spatial understanding (RTX 4090) via multi-view consistency, anchors\u002Fimplicit memory—key for robotics stability.",[22,5068,5069],{},"Agents act: Manus' My Computer controls local PCs (files, CLI, GPU) with permissions. Others: Mistral's Leanscroll self-fixes code; Zhipu GLM5 Turbo executes workflows.",[5034,5071,5072],{},[22,5073,5074],{},"\"The transformer architecture, the thing that powers ChatGPT and most modern AI, is not the final step.\" — Sam Altman",[5034,5076,5077],{},[22,5078,5079],{},"\"Current AI models are already smart enough to help discover that next architecture.\" — Sam Altman",[17,5081,5083],{"id":5082},"key-takeaways","Key Takeaways",[33,5085,5086,5089,5092,5095,5098,5101,5104,5107,5110],{},[36,5087,5088],{},"Train humanoids with RL + imperfect human data (e.g., 5h tennis) via latent spaces for 96.5% dynamic task success; simulate hardware mismatches precisely.",[36,5090,5091],{},"Prioritize generalization over demo speed—test in unpredictable settings early.",[36,5093,5094],{},"For endurance, explore wind\u002FJansen linkages or self-training bio-muscles to cut battery reliance.",[36,5096,5097],{},"Integrate EEG\u002FERPs for human-robot safety loops in high-risk ops; personalize decoding models.",[36,5099,5100],{},"Scale production with digital twins (UBTech model) before humanoid hype turns industrial.",[36,5102,5103],{},"Bet on post-transformer efficiency (Mamba-like); use AI to co-design architectures.",[36,5105,5106],{},"Build 3D-consistent models (Leto\u002FWorld FM) for robotics perception; run real-time on consumer GPUs.",[36,5108,5109],{},"Deploy local agents (My Computer) for action over chat; gate with permissions.",[36,5111,5112],{},"Prototype compostable materials (PGS) now to preempt robotics e-waste at scale.",{"title":96,"searchDepth":97,"depth":97,"links":5114},[5115,5116,5117,5118],{"id":5025,"depth":97,"text":5026},{"id":5041,"depth":97,"text":5042},{"id":5059,"depth":97,"text":5060},{"id":5082,"depth":97,"text":5083},[180],"👉 Try Cinema Studio on Higgsfield: https:\u002F\u002Fhiggsfield.ai\u002Fs\u002Fcinema-studio-2-5-airevolutionx-moKpXR\nThis month in AI got completely out of control. China unveiled new AI robots that just broke the human skill barrier, then dropped a 1 trillion parameter model powerful enough to shock OpenAI. On top of that, China revealed a CENTAUR AI robot that can give humans super strength, while a new OpenClaw robot showed behavior so strangely aware it instantly triggered Skynet comparisons. Meanwhile, Sam Altman declared the death of transformers, hinting that the core architecture behind ChatGPT could be on its way out. Google hit back with a powerful new Gemini update, released Bayesian, an AI system that evolves in real time, and then dropped TurboQuant, a breakthrough that could completely change how AI is built and scaled.\n\n📩 Brand Deals & Partnerships: collabs@nouralabs.com\n✉ General Inquiries: airevolutionofficial@gmail.com\n\n🧠 What You’ll See:\nChina’s AI robots break the human skill barrier\nSam Altman declares the death of transformers\nGoogle’s powerful new Gemini update\nBayesian AI that evolves in real time\nOpenClaw robot feels shockingly aware\nChina’s 1 trillion parameter AI model\nCENTAUR AI robot gives humans super strength\nGoogle TurboQuant changes AI forever\n\n#ai #ainews #robots \n#Higgsfield #CinemaStudio \n#AIVideo #Filmmaking #Cinematic #AIVideo",{},"\u002Fsummaries\u002Fa36d3ecc8575fbd8-humanoids-sprint-toward-humans-ai-eyes-post-transf-summary","2026-04-01 01:18:27","2026-04-03 21:19:51",{"title":5014,"description":5120},{"loc":5122},"a36d3ecc8575fbd8","AI Revolution","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=uV2qLhnc85k","summaries\u002Fa36d3ecc8575fbd8-humanoids-sprint-toward-humans-ai-eyes-post-transf-summary",[142,141,143],"Robotics hits athletic peaks with 12km\u002Fh sprints and 96.5% tennis rallies; Altman predicts transformers' replacement by AI-designed architectures, enabling AGI in 2 years.",[],"NMEGZBWML78tH4I6cclFwd-18wMybrYKMV8k_4oCelE"]