[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-56359eed1b145c38-qwen-robotsuite-three-foundation-models-for-embodi-summary":3,"summaries-facets-categories":95,"summary-related-56359eed1b145c38-qwen-robotsuite-three-foundation-models-for-embodi-summary":5669},{"id":4,"title":5,"ai":6,"body":13,"categories":54,"created_at":56,"date_modified":56,"description":47,"extension":57,"faq":56,"featured":58,"kicker_label":56,"meta":59,"navigation":77,"path":78,"published_at":79,"question":56,"scraped_at":79,"seo":80,"sitemap":81,"source_id":82,"source_name":83,"source_type":84,"source_url":85,"stem":86,"tags":87,"thumbnail_url":56,"tldr":92,"tweet":56,"unknown_tags":93,"__hash__":94},"summaries\u002Fsummaries\u002F56359eed1b145c38-qwen-robotsuite-three-foundation-models-for-embodi-summary.md","Qwen-RobotSuite: Three Foundation Models for Embodied AI",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",10267,763,3624,0.00371125,{"type":14,"value":15,"toc":46},"minimark",[16,21,25,29,32,36,39,43],[17,18,20],"h2",{"id":19},"addressing-robotics-data-fragmentation","Addressing Robotics Data Fragmentation",[22,23,24],"p",{},"Robotics research is currently hampered by fragmented data formats across different hardware and tasks. The Qwen-RobotSuite attempts to solve this by providing three distinct foundation models that standardize how robots perceive, predict, and act.",[17,26,28],{"id":27},"qwen-robotmanip-unified-manipulation","Qwen-RobotManip: Unified Manipulation",[22,30,31],{},"Qwen-RobotManip is a Vision-Language-Action (VLA) model built on Qwen3.5-4B. Its core innovation is a canonical state-action representation: an 80-dimensional vector that uses per-dimension binary masking. This allows the model to handle diverse robot morphologies by only supervising the dimensions relevant to a specific robot's hardware. By training on 38,100 hours of synthesized and open-source data, it achieves significant gains in out-of-distribution (OOD) settings, outperforming prior state-of-the-art models like π0.5 by 3.2× in cross-embodiment transfer tasks.",[17,33,35],{"id":34},"qwen-robotworld-language-as-a-universal-interface","Qwen-RobotWorld: Language as a Universal Interface",[22,37,38],{},"Qwen-RobotWorld treats natural language as a universal action interface for a video world model. Using a 60-layer double-stream Multimodal Diffusion Transformer (MMDiT), it predicts future video trajectories based on language instructions. This approach allows the model to remain embodiment-agnostic, as the language instruction encodes the goal and constraints regardless of the underlying hardware (e.g., grippers vs. humanoids). It ranks first on benchmarks like EWMBench and DreamGen, demonstrating high motion fidelity and physical adherence to laws like gravity and fluid dynamics.",[17,40,42],{"id":41},"qwen-robotnav-scalable-navigation","Qwen-RobotNav: Scalable Navigation",[22,44,45],{},"Qwen-RobotNav reframes navigation as a parameterized observation context problem. Built on Qwen3-VL, it predicts 8-waypoint trajectories using a lightweight MLP head. The model features a configurable interface that allows it to adapt to various navigation tasks (PointNav, ObjNav, Tracking) by adjusting visual token budgets and temporal decay parameters. It functions as a reactive executor within an agentic system, where a higher-level planner (Qwen3.6-Plus) decomposes long-horizon goals into sub-goals communicated via natural language.",{"title":47,"searchDepth":48,"depth":48,"links":49},"",2,[50,51,52,53],{"id":19,"depth":48,"text":20},{"id":27,"depth":48,"text":28},{"id":34,"depth":48,"text":35},{"id":41,"depth":48,"text":42},[55],"AI & LLMs",null,"md",false,{"content_references":60,"triage":72},[61,66,69],{"type":62,"title":63,"url":64,"context":65},"other","Qwen-RobotManip Research Paper","https:\u002F\u002Fqianwen-res.oss-accelerate.aliyuncs.com\u002Fqwenrobot\u002Fpapers\u002FQwen_RobotManip.pdf","cited",{"type":62,"title":67,"url":68,"context":65},"Qwen-RobotWorld Research Paper","https:\u002F\u002Fqianwen-res.oss-accelerate.aliyuncs.com\u002Fqwenrobot\u002Fpapers\u002FQwen_RobotWorld.pdf",{"type":62,"title":70,"url":71,"context":65},"Qwen-RobotNav Research Paper","https:\u002F\u002Fqianwen-res.oss-accelerate.aliyuncs.com\u002Fqwenrobot\u002Fpapers\u002FQwen_RobotNav.pdf",{"relevance":73,"novelty":74,"quality":73,"actionability":48,"composite":75,"reasoning":76},4,3,3.4,"Category: AI & LLMs. The article discusses three foundation models for robotics that address specific pain points in the field, such as data fragmentation and navigation challenges. However, while it presents interesting insights into the models, it lacks detailed practical applications or frameworks that the audience could directly implement.",true,"\u002Fsummaries\u002F56359eed1b145c38-qwen-robotsuite-three-foundation-models-for-embodi-summary","2026-06-17 12:56:57",{"title":5,"description":47},{"loc":78},"56359eed1b145c38","MarkTechPost","article","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F16\u002Fmeet-qwen-robotsuite-three-embodied-ai-models-for-vla-manipulation-video-world-modeling-and-navigation\u002F","summaries\u002F56359eed1b145c38-qwen-robotsuite-three-foundation-models-for-embodi-summary",[88,89,90,91],"agents","ai-llms","robotics","computer-vision","The Qwen team has released a suite of three specialized foundation models—RobotManip, RobotWorld, and RobotNav—designed to address data fragmentation in robotics through unified action representations, language-conditioned world modeling, and scalable navigation interfaces.",[89,90,91],"DS2RJo-_ToQZTgYmqq6xWOZ2_Dplu2CMs2mIhTBldLk",[96,99,102,104,107,110,112,114,117,119,121,123,125,128,130,132,134,136,139,141,143,145,147,149,151,153,155,157,159,161,163,165,167,169,171,173,176,179,181,183,185,187,189,191,193,195,197,199,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,233,235,237,239,241,243,245,247,249,251,253,255,257,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,319,321,323,325,327,329,331,333,335,337,340,342,344,346,348,350,352,354,356,358,360,362,365,367,369,371,373,375,377,379,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,431,433,435,438,440,442,444,446,448,450,452,454,456,458,460,462,464,467,469,471,473,475,477,479,481,483,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,725,727,729,731,734,736,738,740,742,744,746,748,750,752,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667],{"categories":97},[98],"Developer Productivity",{"categories":100},[101],"Business & SaaS",{"categories":103},[55],{"categories":105},[106],"AI Automation",{"categories":108},[109],"Product Strategy",{"categories":111},[55],{"categories":113},[98],{"categories":115},[116],"Software Engineering",{"categories":118},[55],{"categories":120},[101],{"categories":122},[],{"categories":124},[55],{"categories":126},[127],"Inference & Serving",{"categories":129},[55],{"categories":131},[55],{"categories":133},[106],{"categories":135},[],{"categories":137},[138],"AI News & Trends",{"categories":140},[106],{"categories":142},[55],{"categories":144},[101],{"categories":146},[55],{"categories":148},[106],{"categories":150},[138],{"categories":152},[106],{"categories":154},[106],{"categories":156},[55],{"categories":158},[106],{"categories":160},[55],{"categories":162},[55],{"categories":164},[55],{"categories":166},[138],{"categories":168},[55],{"categories":170},[55],{"categories":172},[],{"categories":174},[175],"Design & Frontend",{"categories":177},[178],"Data Science & Visualization",{"categories":180},[138],{"categories":182},[55],{"categories":184},[55],{"categories":186},[],{"categories":188},[55],{"categories":190},[106],{"categories":192},[116],{"categories":194},[55],{"categories":196},[106],{"categories":198},[55],{"categories":200},[201],"Marketing & Growth",{"categories":203},[175],{"categories":205},[55],{"categories":207},[106],{"categories":209},[55],{"categories":211},[],{"categories":213},[],{"categories":215},[175],{"categories":217},[55],{"categories":219},[106],{"categories":221},[98],{"categories":223},[116],{"categories":225},[175],{"categories":227},[55],{"categories":229},[116],{"categories":231},[232],"DevOps & Cloud",{"categories":234},[106],{"categories":236},[109],{"categories":238},[138],{"categories":240},[55],{"categories":242},[],{"categories":244},[55],{"categories":246},[],{"categories":248},[106],{"categories":250},[116],{"categories":252},[],{"categories":254},[116],{"categories":256},[55],{"categories":258},[259],"Governance & Standards",{"categories":261},[101],{"categories":263},[],{"categories":265},[],{"categories":267},[55],{"categories":269},[55],{"categories":271},[106],{"categories":273},[55],{"categories":275},[55],{"categories":277},[106],{"categories":279},[55],{"categories":281},[55],{"categories":283},[55],{"categories":285},[],{"categories":287},[116],{"categories":289},[],{"categories":291},[],{"categories":293},[116],{"categories":295},[],{"categories":297},[116],{"categories":299},[55],{"categories":301},[55],{"categories":303},[201],{"categories":305},[55],{"categories":307},[175],{"categories":309},[175],{"categories":311},[55],{"categories":313},[116],{"categories":315},[106],{"categories":317},[318],"GovTech & Public-Sector Adoption",{"categories":320},[116],{"categories":322},[55],{"categories":324},[55],{"categories":326},[106],{"categories":328},[106],{"categories":330},[178],{"categories":332},[55],{"categories":334},[138],{"categories":336},[106],{"categories":338},[339],"Legal AI Tools",{"categories":341},[106],{"categories":343},[201],{"categories":345},[106],{"categories":347},[109],{"categories":349},[116],{"categories":351},[318],{"categories":353},[],{"categories":355},[106],{"categories":357},[],{"categories":359},[106],{"categories":361},[106],{"categories":363},[364],"RAG & Retrieval",{"categories":366},[101],{"categories":368},[55],{"categories":370},[116],{"categories":372},[232],{"categories":374},[175],{"categories":376},[55],{"categories":378},[],{"categories":380},[381],"Agents & Orchestration",{"categories":383},[116],{"categories":385},[55],{"categories":387},[],{"categories":389},[106],{"categories":391},[101],{"categories":393},[],{"categories":395},[55],{"categories":397},[],{"categories":399},[98],{"categories":401},[116],{"categories":403},[101],{"categories":405},[55],{"categories":407},[55],{"categories":409},[138],{"categories":411},[55],{"categories":413},[],{"categories":415},[55],{"categories":417},[],{"categories":419},[116],{"categories":421},[178],{"categories":423},[],{"categories":425},[55],{"categories":427},[175],{"categories":429},[430],"Models & Frontier Labs",{"categories":432},[],{"categories":434},[175],{"categories":436},[437],"Regulation & Governance of AI",{"categories":439},[106],{"categories":441},[],{"categories":443},[55],{"categories":445},[55],{"categories":447},[106],{"categories":449},[138],{"categories":451},[101],{"categories":453},[55],{"categories":455},[],{"categories":457},[116],{"categories":459},[106],{"categories":461},[55],{"categories":463},[109],{"categories":465},[466],"AI Policy & Regulation",{"categories":468},[],{"categories":470},[55],{"categories":472},[109],{"categories":474},[106],{"categories":476},[55],{"categories":478},[106],{"categories":480},[],{"categories":482},[178],{"categories":484},[485],"Evals & Reliability",{"categories":487},[55],{"categories":489},[],{"categories":491},[98],{"categories":493},[318],{"categories":495},[466],{"categories":497},[55],{"categories":499},[101],{"categories":501},[55],{"categories":503},[106],{"categories":505},[55],{"categories":507},[106],{"categories":509},[381],{"categories":511},[55],{"categories":513},[116],{"categories":515},[55],{"categories":517},[],{"categories":519},[],{"categories":521},[55],{"categories":523},[318],{"categories":525},[55],{"categories":527},[55],{"categories":529},[],{"categories":531},[175],{"categories":533},[],{"categories":535},[55],{"categories":537},[],{"categories":539},[106],{"categories":541},[55],{"categories":543},[175],{"categories":545},[],{"categories":547},[55],{"categories":549},[106],{"categories":551},[55],{"categories":553},[101],{"categories":555},[106],{"categories":557},[55],{"categories":559},[55],{"categories":561},[116],{"categories":563},[175],{"categories":565},[106],{"categories":567},[],{"categories":569},[116],{"categories":571},[106],{"categories":573},[],{"categories":575},[138],{"categories":577},[],{"categories":579},[55],{"categories":581},[55],{"categories":583},[101,201],{"categories":585},[],{"categories":587},[55],{"categories":589},[55],{"categories":591},[106],{"categories":593},[],{"categories":595},[],{"categories":597},[55],{"categories":599},[175],{"categories":601},[55],{"categories":603},[],{"categories":605},[55],{"categories":607},[232],{"categories":609},[],{"categories":611},[106],{"categories":613},[138],{"categories":615},[55],{"categories":617},[175],{"categories":619},[],{"categories":621},[138],{"categories":623},[55],{"categories":625},[127],{"categories":627},[55],{"categories":629},[106],{"categories":631},[138],{"categories":633},[430],{"categories":635},[55],{"categories":637},[201],{"categories":639},[],{"categories":641},[106],{"categories":643},[101],{"categories":645},[116],{"categories":647},[55],{"categories":649},[106],{"categories":651},[],{"categories":653},[55,232],{"categories":655},[55],{"categories":657},[55],{"categories":659},[55],{"categories":661},[106],{"categories":663},[55,116],{"categories":665},[178],{"categories":667},[55],{"categories":669},[55],{"categories":671},[116],{"categories":673},[106],{"categories":675},[466],{"categories":677},[201],{"categories":679},[55],{"categories":681},[106],{"categories":683},[55],{"categories":685},[55],{"categories":687},[106],{"categories":689},[],{"categories":691},[55],{"categories":693},[106],{"categories":695},[55],{"categories":697},[55,101],{"categories":699},[101],{"categories":701},[],{"categories":703},[175],{"categories":705},[175],{"categories":707},[55],{"categories":709},[],{"categories":711},[],{"categories":713},[138],{"categories":715},[],{"categories":717},[98],{"categories":719},[55],{"categories":721},[116],{"categories":723},[724],"Generative UI & Design-to-Code",{"categories":726},[55],{"categories":728},[175],{"categories":730},[55],{"categories":732},[733],"Algorithmic Accountability",{"categories":735},[106],{"categories":737},[116],{"categories":739},[138],{"categories":741},[175],{"categories":743},[],{"categories":745},[55],{"categories":747},[55],{"categories":749},[55],{"categories":751},[106],{"categories":753},[754],"MLOps & Infrastructure",{"categories":756},[55],{"categories":758},[55],{"categories":760},[55],{"categories":762},[55],{"categories":764},[138],{"categories":766},[98],{"categories":768},[55],{"categories":770},[106],{"categories":772},[232],{"categories":774},[55],{"categories":776},[175],{"categories":778},[55],{"categories":780},[106],{"categories":782},[],{"categories":784},[],{"categories":786},[127],{"categories":788},[175],{"categories":790},[138],{"categories":792},[178],{"categories":794},[],{"categories":796},[55],{"categories":798},[55],{"categories":800},[101],{"categories":802},[55],{"categories":804},[55],{"categories":806},[55],{"categories":808},[138],{"categories":810},[127],{"categories":812},[55],{"categories":814},[175],{"categories":816},[],{"categories":818},[106],{"categories":820},[116],{"categories":822},[],{"categories":824},[55],{"categories":826},[55],{"categories":828},[106],{"categories":830},[116],{"categories":832},[55],{"categories":834},[178],{"categories":836},[],{"categories":838},[55],{"categories":840},[],{"categories":842},[55],{"categories":844},[],{"categories":846},[109],{"categories":848},[101],{"categories":850},[106],{"categories":852},[106],{"categories":854},[],{"categories":856},[98],{"categories":858},[55],{"categories":860},[101],{"categories":862},[138],{"categories":864},[98],{"categories":866},[],{"categories":868},[55],{"categories":870},[],{"categories":872},[],{"categories":874},[138],{"categories":876},[138],{"categories":878},[],{"categories":880},[381],{"categories":882},[55],{"categories":884},[175],{"categories":886},[116],{"categories":888},[],{"categories":890},[339],{"categories":892},[101],{"categories":894},[],{"categories":896},[],{"categories":898},[98],{"categories":900},[178],{"categories":902},[],{"categories":904},[201],{"categories":906},[106],{"categories":908},[101],{"categories":910},[106],{"categories":912},[101],{"categories":914},[116],{"categories":916},[],{"categories":918},[127],{"categories":920},[109],{"categories":922},[55],{"categories":924},[175],{"categories":926},[116],{"categories":928},[101],{"categories":930},[55],{"categories":932},[106],{"categories":934},[101],{"categories":936},[55],{"categories":938},[55],{"categories":940},[],{"categories":942},[],{"categories":944},[116],{"categories":946},[178],{"categories":948},[109],{"categories":950},[55],{"categories":952},[106],{"categories":954},[55],{"categories":956},[],{"categories":958},[138],{"categories":960},[109],{"categories":962},[55],{"categories":964},[485],{"categories":966},[232],{"categories":968},[],{"categories":970},[106],{"categories":972},[],{"categories":974},[98],{"categories":976},[],{"categories":978},[55],{"categories":980},[55],{"categories":982},[175],{"categories":984},[201],{"categories":986},[116],{"categories":988},[106],{"categories":990},[],{"categories":992},[116],{"categories":994},[98],{"categories":996},[],{"categories":998},[138],{"categories":1000},[55,232],{"categories":1002},[1003],"Design Systems for AI",{"categories":1005},[55],{"categories":1007},[138],{"categories":1009},[55],{"categories":1011},[55],{"categories":1013},[101],{"categories":1015},[55],{"categories":1017},[],{"categories":1019},[55],{"categories":1021},[55],{"categories":1023},[101],{"categories":1025},[55],{"categories":1027},[],{"categories":1029},[106],{"categories":1031},[116],{"categories":1033},[116],{"categories":1035},[175],{"categories":1037},[138],{"categories":1039},[178],{"categories":1041},[55],{"categories":1043},[98],{"categories":1045},[466],{"categories":1047},[55],{"categories":1049},[106],{"categories":1051},[55],{"categories":1053},[116],{"categories":1055},[116],{"categories":1057},[],{"categories":1059},[],{"categories":1061},[106],{"categories":1063},[109],{"categories":1065},[],{"categories":1067},[55],{"categories":1069},[],{"categories":1071},[175],{"categories":1073},[106],{"categories":1075},[116],{"categories":1077},[175],{"categories":1079},[55],{"categories":1081},[175],{"categories":1083},[],{"categories":1085},[],{"categories":1087},[138],{"categories":1089},[106],{"categories":1091},[106],{"categories":1093},[55],{"categories":1095},[55],{"categories":1097},[55],{"categories":1099},[101],{"categories":1101},[55],{"categories":1103},[55],{"categories":1105},[],{"categories":1107},[116],{"categories":1109},[116],{"categories":1111},[55],{"categories":1113},[116],{"categories":1115},[101],{"categories":1117},[],{"categories":1119},[55],{"categories":1121},[55],{"categories":1123},[55],{"categories":1125},[106],{"categories":1127},[98],{"categories":1129},[101],{"categories":1131},[138],{"categories":1133},[106],{"categories":1135},[127],{"categories":1137},[201],{"categories":1139},[55],{"categories":1141},[106],{"categories":1143},[],{"categories":1145},[175],{"categories":1147},[],{"categories":1149},[55],{"categories":1151},[55],{"categories":1153},[],{"categories":1155},[116],{"categories":1157},[101],{"categories":1159},[1160],"Visual & Generative Media",{"categories":1162},[106],{"categories":1164},[],{"categories":1166},[55],{"categories":1168},[55],{"categories":1170},[232],{"categories":1172},[178],{"categories":1174},[466],{"categories":1176},[116],{"categories":1178},[201],{"categories":1180},[55],{"categories":1182},[175],{"categories":1184},[55],{"categories":1186},[116],{"categories":1188},[106],{"categories":1190},[],{"categories":1192},[],{"categories":1194},[106],{"categories":1196},[98],{"categories":1198},[106],{"categories":1200},[430],{"categories":1202},[55],{"categories":1204},[109],{"categories":1206},[101],{"categories":1208},[],{"categories":1210},[55],{"categories":1212},[109],{"categories":1214},[55],{"categories":1216},[55],{"categories":1218},[55],{"categories":1220},[55],{"categories":1222},[55],{"categories":1224},[201],{"categories":1226},[55],{"categories":1228},[381],{"categories":1230},[55],{"categories":1232},[55],{"categories":1234},[55],{"categories":1236},[55],{"categories":1238},[55],{"categories":1240},[175],{"categories":1242},[106],{"categories":1244},[],{"categories":1246},[106],{"categories":1248},[],{"categories":1250},[232],{"categories":1252},[116],{"categories":1254},[],{"categories":1256},[430],{"categories":1258},[106],{"categories":1260},[55],{"categories":1262},[175,55],{"categories":1264},[98],{"categories":1266},[],{"categories":1268},[55],{"categories":1270},[98],{"categories":1272},[1273],"Medical Imaging & Radiology",{"categories":1275},[175],{"categories":1277},[106],{"categories":1279},[116],{"categories":1281},[],{"categories":1283},[55],{"categories":1285},[55],{"categories":1287},[55],{"categories":1289},[],{"categories":1291},[],{"categories":1293},[55],{"categories":1295},[381],{"categories":1297},[55],{"categories":1299},[98],{"categories":1301},[55],{"categories":1303},[55],{"categories":1305},[],{"categories":1307},[106],{"categories":1309},[55],{"categories":1311},[109],{"categories":1313},[116],{"categories":1315},[55],{"categories":1317},[381],{"categories":1319},[55],{"categories":1321},[106],{"categories":1323},[55],{"categories":1325},[175],{"categories":1327},[106],{"categories":1329},[232],{"categories":1331},[175],{"categories":1333},[101],{"categories":1335},[106],{"categories":1337},[55],{"categories":1339},[55],{"categories":1341},[55],{"categories":1343},[55],{"categories":1345},[55],{"categories":1347},[106],{"categories":1349},[116],{"categories":1351},[55],{"categories":1353},[109],{"categories":1355},[],{"categories":1357},[138],{"categories":1359},[],{"categories":1361},[109],{"categories":1363},[106],{"categories":1365},[1003],{"categories":1367},[1003],{"categories":1369},[175],{"categories":1371},[55],{"categories":1373},[55],{"categories":1375},[106],{"categories":1377},[116],{"categories":1379},[175],{"categories":1381},[106],{"categories":1383},[138],{"categories":1385},[],{"categories":1387},[55],{"categories":1389},[],{"categories":1391},[55],{"categories":1393},[55],{"categories":1395},[55],{"categories":1397},[1398],"Contract Review & E-Discovery",{"categories":1400},[175],{"categories":1402},[55],{"categories":1404},[98],{"categories":1406},[138],{"categories":1408},[55],{"categories":1410},[55],{"categories":1412},[201],{"categories":1414},[116],{"categories":1416},[55],{"categories":1418},[55],{"categories":1420},[106],{"categories":1422},[106],{"categories":1424},[733],{"categories":1426},[106],{"categories":1428},[106],{"categories":1430},[55],{"categories":1432},[55],{"categories":1434},[106],{"categories":1436},[55],{"categories":1438},[381],{"categories":1440},[364],{"categories":1442},[55],{"categories":1444},[106],{"categories":1446},[55],{"categories":1448},[1449],"Law-Firm Practice & Adoption",{"categories":1451},[55],{"categories":1453},[106],{"categories":1455},[175],{"categories":1457},[55],{"categories":1459},[55],{"categories":1461},[],{"categories":1463},[],{"categories":1465},[116],{"categories":1467},[],{"categories":1469},[98],{"categories":1471},[232],{"categories":1473},[55],{"categories":1475},[],{"categories":1477},[98],{"categories":1479},[101],{"categories":1481},[55],{"categories":1483},[201],{"categories":1485},[],{"categories":1487},[101],{"categories":1489},[101],{"categories":1491},[],{"categories":1493},[55],{"categories":1495},[55],{"categories":1497},[116],{"categories":1499},[],{"categories":1501},[],{"categories":1503},[],{"categories":1505},[],{"categories":1507},[55],{"categories":1509},[106],{"categories":1511},[232],{"categories":1513},[55],{"categories":1515},[98],{"categories":1517},[116],{"categories":1519},[55],{"categories":1521},[55],{"categories":1523},[116],{"categories":1525},[109],{"categories":1527},[55],{"categories":1529},[754],{"categories":1531},[55],{"categories":1533},[201],{"categories":1535},[116],{"categories":1537},[101],{"categories":1539},[55],{"categories":1541},[55],{"categories":1543},[175],{"categories":1545},[55],{"categories":1547},[55],{"categories":1549},[55],{"categories":1551},[106],{"categories":1553},[55,98],{"categories":1555},[381],{"categories":1557},[55],{"categories":1559},[116],{"categories":1561},[116],{"categories":1563},[175],{"categories":1565},[106],{"categories":1567},[116],{"categories":1569},[55],{"categories":1571},[55],{"categories":1573},[],{"categories":1575},[],{"categories":1577},[55],{"categories":1579},[],{"categories":1581},[55],{"categories":1583},[116],{"categories":1585},[178],{"categories":1587},[138],{"categories":1589},[175],{"categories":1591},[55],{"categories":1593},[116],{"categories":1595},[],{"categories":1597},[106],{"categories":1599},[55],{"categories":1601},[55],{"categories":1603},[55],{"categories":1605},[55],{"categories":1607},[],{"categories":1609},[106],{"categories":1611},[55],{"categories":1613},[55],{"categories":1615},[],{"categories":1617},[106],{"categories":1619},[55],{"categories":1621},[55],{"categories":1623},[101],{"categories":1625},[55],{"categories":1627},[],{"categories":1629},[98],{"categories":1631},[55],{"categories":1633},[175],{"categories":1635},[116],{"categories":1637},[55],{"categories":1639},[98],{"categories":1641},[55],{"categories":1643},[116],{"categories":1645},[201],{"categories":1647},[106],{"categories":1649},[106],{"categories":1651},[55,175],{"categories":1653},[55],{"categories":1655},[138],{"categories":1657},[55],{"categories":1659},[138],{"categories":1661},[106],{"categories":1663},[175],{"categories":1665},[],{"categories":1667},[116],{"categories":1669},[232],{"categories":1671},[175],{"categories":1673},[116],{"categories":1675},[55],{"categories":1677},[109],{"categories":1679},[55],{"categories":1681},[106],{"categories":1683},[],{"categories":1685},[],{"categories":1687},[55],{"categories":1689},[],{"categories":1691},[],{"categories":1693},[109],{"categories":1695},[116],{"categories":1697},[55],{"categories":1699},[106],{"categories":1701},[106],{"categories":1703},[101],{"categories":1705},[106],{"categories":1707},[232],{"categories":1709},[55],{"categories":1711},[55],{"categories":1713},[127],{"categories":1715},[55],{"categories":1717},[55],{"categories":1719},[106],{"categories":1721},[55],{"categories":1723},[55],{"categories":1725},[339],{"categories":1727},[733],{"categories":1729},[],{"categories":1731},[175],{"categories":1733},[1449],{"categories":1735},[116],{"categories":1737},[],{"categories":1739},[],{"categories":1741},[106],{"categories":1743},[],{"categories":1745},[],{"categories":1747},[201],{"categories":1749},[201],{"categories":1751},[106],{"categories":1753},[116],{"categories":1755},[],{"categories":1757},[55],{"categories":1759},[55],{"categories":1761},[116],{"categories":1763},[1398],{"categories":1765},[175],{"categories":1767},[175],{"categories":1769},[55],{"categories":1771},[106],{"categories":1773},[98],{"categories":1775},[55],{"categories":1777},[55],{"categories":1779},[175],{"categories":1781},[175],{"categories":1783},[106],{"categories":1785},[106],{"categories":1787},[55],{"categories":1789},[],{"categories":1791},[55],{"categories":1793},[],{"categories":1795},[1796],"Interaction & Product Design",{"categories":1798},[55],{"categories":1800},[106],{"categories":1802},[259],{"categories":1804},[138],{"categories":1806},[116],{"categories":1808},[55],{"categories":1810},[55],{"categories":1812},[116],{"categories":1814},[98],{"categories":1816},[55],{"categories":1818},[],{"categories":1820},[106],{"categories":1822},[106],{"categories":1824},[],{"categories":1826},[116],{"categories":1828},[55],{"categories":1830},[98],{"categories":1832},[1796],{"categories":1834},[55],{"categories":1836},[98],{"categories":1838},[98],{"categories":1840},[],{"categories":1842},[116],{"categories":1844},[],{"categories":1846},[106],{"categories":1848},[138],{"categories":1850},[55],{"categories":1852},[106],{"categories":1854},[55],{"categories":1856},[106],{"categories":1858},[55],{"categories":1860},[138],{"categories":1862},[178],{"categories":1864},[55],{"categories":1866},[109],{"categories":1868},[116],{"categories":1870},[1871],"Coding Agents & Dev Productivity",{"categories":1873},[138],{"categories":1875},[175],{"categories":1877},[],{"categories":1879},[55],{"categories":1881},[733],{"categories":1883},[],{"categories":1885},[55],{"categories":1887},[55],{"categories":1889},[138],{"categories":1891},[],{"categories":1893},[],{"categories":1895},[55],{"categories":1897},[],{"categories":1899},[106],{"categories":1901},[55],{"categories":1903},[],{"categories":1905},[116],{"categories":1907},[116],{"categories":1909},[55],{"categories":1911},[178],{"categories":1913},[],{"categories":1915},[55],{"categories":1917},[55],{"categories":1919},[55],{"categories":1921},[178],{"categories":1923},[116],{"categories":1925},[],{"categories":1927},[],{"categories":1929},[106],{"categories":1931},[106],{"categories":1933},[318],{"categories":1935},[116],{"categories":1937},[116],{"categories":1939},[106],{"categories":1941},[138],{"categories":1943},[138],{"categories":1945},[106],{"categories":1947},[106],{"categories":1949},[55],{"categories":1951},[98],{"categories":1953},[1796],{"categories":1955},[55,232],{"categories":1957},[],{"categories":1959},[175],{"categories":1961},[116],{"categories":1963},[98],{"categories":1965},[55],{"categories":1967},[106],{"categories":1969},[1970],"The Designer's Role & Craft",{"categories":1972},[175],{"categories":1974},[],{"categories":1976},[106],{"categories":1978},[55],{"categories":1980},[106],{"categories":1982},[106],{"categories":1984},[55],{"categories":1986},[201],{"categories":1988},[55],{"categories":1990},[116],{"categories":1992},[175],{"categories":1994},[55],{"categories":1996},[],{"categories":1998},[106],{"categories":2000},[175],{"categories":2002},[55],{"categories":2004},[55],{"categories":2006},[2007],"AI UX Patterns",{"categories":2009},[106],{"categories":2011},[106],{"categories":2013},[106],{"categories":2015},[106],{"categories":2017},[201],{"categories":2019},[178],{"categories":2021},[55],{"categories":2023},[106],{"categories":2025},[55],{"categories":2027},[1003],{"categories":2029},[],{"categories":2031},[201],{"categories":2033},[138],{"categories":2035},[116],{"categories":2037},[55],{"categories":2039},[106],{"categories":2041},[],{"categories":2043},[],{"categories":2045},[55],{"categories":2047},[106],{"categories":2049},[55],{"categories":2051},[106],{"categories":2053},[318],{"categories":2055},[175],{"categories":2057},[138],{"categories":2059},[116],{"categories":2061},[55],{"categories":2063},[106],{"categories":2065},[106],{"categories":2067},[],{"categories":2069},[55],{"categories":2071},[],{"categories":2073},[],{"categories":2075},[55],{"categories":2077},[55],{"categories":2079},[106],{"categories":2081},[116],{"categories":2083},[],{"categories":2085},[],{"categories":2087},[178],{"categories":2089},[127],{"categories":2091},[55],{"categories":2093},[178],{"categories":2095},[138],{"categories":2097},[55],{"categories":2099},[55],{"categories":2101},[106],{"categories":2103},[106],{"categories":2105},[55],{"categories":2107},[106],{"categories":2109},[],{"categories":2111},[],{"categories":2113},[55],{"categories":2115},[232],{"categories":2117},[55],{"categories":2119},[],{"categories":2121},[],{"categories":2123},[175],{"categories":2125},[754],{"categories":2127},[106],{"categories":2129},[98],{"categories":2131},[1970],{"categories":2133},[],{"categories":2135},[],{"categories":2137},[55],{"categories":2139},[],{"categories":2141},[],{"categories":2143},[116],{"categories":2145},[138],{"categories":2147},[201],{"categories":2149},[101],{"categories":2151},[55],{"categories":2153},[55],{"categories":2155},[101],{"categories":2157},[],{"categories":2159},[175],{"categories":2161},[55],{"categories":2163},[106],{"categories":2165},[101],{"categories":2167},[55],{"categories":2169},[55],{"categories":2171},[98],{"categories":2173},[55],{"categories":2175},[],{"categories":2177},[98],{"categories":2179},[55],{"categories":2181},[201],{"categories":2183},[106],{"categories":2185},[138],{"categories":2187},[55],{"categories":2189},[101],{"categories":2191},[55],{"categories":2193},[55],{"categories":2195},[55],{"categories":2197},[106],{"categories":2199},[],{"categories":2201},[55],{"categories":2203},[116],{"categories":2205},[98],{"categories":2207},[55],{"categories":2209},[55],{"categories":2211},[],{"categories":2213},[381],{"categories":2215},[138],{"categories":2217},[55],{"categories":2219},[55],{"categories":2221},[],{"categories":2223},[101],{"categories":2225},[101],{"categories":2227},[55],{"categories":2229},[55],{"categories":2231},[109],{"categories":2233},[55],{"categories":2235},[55],{"categories":2237},[116],{"categories":2239},[116],{"categories":2241},[55],{"categories":2243},[],{"categories":2245},[116],{"categories":2247},[55],{"categories":2249},[116],{"categories":2251},[466],{"categories":2253},[],{"categories":2255},[],{"categories":2257},[55],{"categories":2259},[138],{"categories":2261},[],{"categories":2263},[232],{"categories":2265},[55],{"categories":2267},[55],{"categories":2269},[175],{"categories":2271},[724],{"categories":2273},[],{"categories":2275},[55],{"categories":2277},[55],{"categories":2279},[116],{"categories":2281},[55],{"categories":2283},[55],{"categories":2285},[55,232],{"categories":2287},[55],{"categories":2289},[55],{"categories":2291},[175],{"categories":2293},[106],{"categories":2295},[],{"categories":2297},[106],{"categories":2299},[106],{"categories":2301},[55],{"categories":2303},[55],{"categories":2305},[55],{"categories":2307},[178],{"categories":2309},[55],{"categories":2311},[2007],{"categories":2313},[98],{"categories":2315},[178],{"categories":2317},[98],{"categories":2319},[116],{"categories":2321},[175],{"categories":2323},[106],{"categories":2325},[55],{"categories":2327},[],{"categories":2329},[55],{"categories":2331},[138],{"categories":2333},[55],{"categories":2335},[106],{"categories":2337},[55],{"categories":2339},[55],{"categories":2341},[101],{"categories":2343},[],{"categories":2345},[232],{"categories":2347},[55],{"categories":2349},[318],{"categories":2351},[175],{"categories":2353},[175],{"categories":2355},[116],{"categories":2357},[106],{"categories":2359},[55],{"categories":2361},[101],{"categories":2363},[138],{"categories":2365},[55],{"categories":2367},[175],{"categories":2369},[106],{"categories":2371},[55],{"categories":2373},[55],{"categories":2375},[430],{"categories":2377},[],{"categories":2379},[55],{"categories":2381},[55],{"categories":2383},[55],{"categories":2385},[],{"categories":2387},[],{"categories":2389},[55],{"categories":2391},[55],{"categories":2393},[55],{"categories":2395},[55],{"categories":2397},[116],{"categories":2399},[55],{"categories":2401},[55],{"categories":2403},[106],{"categories":2405},[55],{"categories":2407},[55],{"categories":2409},[55],{"categories":2411},[55],{"categories":2413},[],{"categories":2415},[116],{"categories":2417},[178],{"categories":2419},[55],{"categories":2421},[106],{"categories":2423},[55],{"categories":2425},[],{"categories":2427},[],{"categories":2429},[55],{"categories":2431},[55],{"categories":2433},[55],{"categories":2435},[138],{"categories":2437},[],{"categories":2439},[55],{"categories":2441},[175],{"categories":2443},[55],{"categories":2445},[232],{"categories":2447},[1449],{"categories":2449},[138],{"categories":2451},[116],{"categories":2453},[116],{"categories":2455},[116],{"categories":2457},[138],{"categories":2459},[138],{"categories":2461},[232],{"categories":2463},[],{"categories":2465},[138],{"categories":2467},[55],{"categories":2469},[98],{"categories":2471},[116],{"categories":2473},[55],{"categories":2475},[138],{"categories":2477},[],{"categories":2479},[55],{"categories":2481},[116],{"categories":2483},[178],{"categories":2485},[55],{"categories":2487},[138],{"categories":2489},[55],{"categories":2491},[116],{"categories":2493},[106],{"categories":2495},[138],{"categories":2497},[106],{"categories":2499},[232],{"categories":2501},[106],{"categories":2503},[55],{"categories":2505},[55],{"categories":2507},[116],{"categories":2509},[55],{"categories":2511},[],{"categories":2513},[101],{"categories":2515},[116],{"categories":2517},[],{"categories":2519},[],{"categories":2521},[55],{"categories":2523},[106],{"categories":2525},[55],{"categories":2527},[2528],"Frameworks & Tooling",{"categories":2530},[55],{"categories":2532},[55],{"categories":2534},[116],{"categories":2536},[55],{"categories":2538},[55],{"categories":2540},[],{"categories":2542},[178],{"categories":2544},[178],{"categories":2546},[98],{"categories":2548},[106],{"categories":2550},[175],{"categories":2552},[],{"categories":2554},[1449],{"categories":2556},[55],{"categories":2558},[116],{"categories":2560},[55],{"categories":2562},[232],{"categories":2564},[232],{"categories":2566},[],{"categories":2568},[106],{"categories":2570},[138],{"categories":2572},[138],{"categories":2574},[55],{"categories":2576},[106],{"categories":2578},[],{"categories":2580},[175],{"categories":2582},[55],{"categories":2584},[55],{"categories":2586},[],{"categories":2588},[55],{"categories":2590},[],{"categories":2592},[116],{"categories":2594},[55],{"categories":2596},[116],{"categories":2598},[232],{"categories":2600},[55],{"categories":2602},[116],{"categories":2604},[101],{"categories":2606},[55],{"categories":2608},[1449],{"categories":2610},[],{"categories":2612},[106],{"categories":2614},[98],{"categories":2616},[98],{"categories":2618},[],{"categories":2620},[106],{"categories":2622},[55],{"categories":2624},[2625],"AI Design Tooling",{"categories":2627},[175],{"categories":2629},[55],{"categories":2631},[55],{"categories":2633},[116],{"categories":2635},[175],{"categories":2637},[55],{"categories":2639},[116],{"categories":2641},[138],{"categories":2643},[109],{"categories":2645},[116],{"categories":2647},[106],{"categories":2649},[],{"categories":2651},[55],{"categories":2653},[55],{"categories":2655},[106],{"categories":2657},[55],{"categories":2659},[55],{"categories":2661},[],{"categories":2663},[106],{"categories":2665},[2528],{"categories":2667},[55],{"categories":2669},[106],{"categories":2671},[106],{"categories":2673},[116],{"categories":2675},[116],{"categories":2677},[],{"categories":2679},[116],{"categories":2681},[55],{"categories":2683},[55],{"categories":2685},[106],{"categories":2687},[101],{"categories":2689},[55],{"categories":2691},[],{"categories":2693},[55],{"categories":2695},[1796],{"categories":2697},[],{"categories":2699},[55],{"categories":2701},[55],{"categories":2703},[],{"categories":2705},[55],{"categories":2707},[55],{"categories":2709},[55],{"categories":2711},[201],{"categories":2713},[138],{"categories":2715},[55],{"categories":2717},[55],{"categories":2719},[1449],{"categories":2721},[98],{"categories":2723},[55],{"categories":2725},[55],{"categories":2727},[178],{"categories":2729},[55],{"categories":2731},[138],{"categories":2733},[106],{"categories":2735},[],{"categories":2737},[55],{"categories":2739},[175],{"categories":2741},[55],{"categories":2743},[201],{"categories":2745},[55],{"categories":2747},[106],{"categories":2749},[],{"categories":2751},[],{"categories":2753},[],{"categories":2755},[98],{"categories":2757},[138],{"categories":2759},[106],{"categories":2761},[55],{"categories":2763},[55],{"categories":2765},[55],{"categories":2767},[339],{"categories":2769},[175],{"categories":2771},[106],{"categories":2773},[55],{"categories":2775},[],{"categories":2777},[106],{"categories":2779},[106],{"categories":2781},[],{"categories":2783},[55],{"categories":2785},[106],{"categories":2787},[55],{"categories":2789},[],{"categories":2791},[55],{"categories":2793},[55],{"categories":2795},[138],{"categories":2797},[175],{"categories":2799},[106],{"categories":2801},[175],{"categories":2803},[106],{"categories":2805},[101],{"categories":2807},[],{"categories":2809},[],{"categories":2811},[55],{"categories":2813},[55],{"categories":2815},[98],{"categories":2817},[106],{"categories":2819},[138],{"categories":2821},[],{"categories":2823},[175],{"categories":2825},[],{"categories":2827},[116],{"categories":2829},[116],{"categories":2831},[175],{"categories":2833},[116],{"categories":2835},[55],{"categories":2837},[],{"categories":2839},[55],{"categories":2841},[55],{"categories":2843},[],{"categories":2845},[201],{"categories":2847},[55],{"categories":2849},[232],{"categories":2851},[116],{"categories":2853},[],{"categories":2855},[106],{"categories":2857},[55],{"categories":2859},[98],{"categories":2861},[430],{"categories":2863},[106],{"categories":2865},[106],{"categories":2867},[55],{"categories":2869},[55],{"categories":2871},[],{"categories":2873},[98],{"categories":2875},[55],{"categories":2877},[101],{"categories":2879},[116],{"categories":2881},[175],{"categories":2883},[],{"categories":2885},[],{"categories":2887},[],{"categories":2889},[106],{"categories":2891},[116],{"categories":2893},[175],{"categories":2895},[138],{"categories":2897},[55],{"categories":2899},[138],{"categories":2901},[106],{"categories":2903},[175],{"categories":2905},[55],{"categories":2907},[],{"categories":2909},[55],{"categories":2911},[127],{"categories":2913},[106],{"categories":2915},[175],{"categories":2917},[138],{"categories":2919},[101],{"categories":2921},[116],{"categories":2923},[55],{"categories":2925},[138],{"categories":2927},[201],{"categories":2929},[],{"categories":2931},[],{"categories":2933},[178],{"categories":2935},[381],{"categories":2937},[55],{"categories":2939},[106],{"categories":2941},[55,116],{"categories":2943},[138],{"categories":2945},[55],{"categories":2947},[55],{"categories":2949},[106],{"categories":2951},[55],{"categories":2953},[106],{"categories":2955},[55],{"categories":2957},[55],{"categories":2959},[],{"categories":2961},[1003],{"categories":2963},[116],{"categories":2965},[175],{"categories":2967},[55],{"categories":2969},[55],{"categories":2971},[55],{"categories":2973},[178],{"categories":2975},[106],{"categories":2977},[201],{"categories":2979},[232],{"categories":2981},[],{"categories":2983},[55],{"categories":2985},[101],{"categories":2987},[106],{"categories":2989},[98],{"categories":2991},[106],{"categories":2993},[55],{"categories":2995},[106],{"categories":2997},[109],{"categories":2999},[116],{"categories":3001},[55],{"categories":3003},[55],{"categories":3005},[],{"categories":3007},[],{"categories":3009},[],{"categories":3011},[232],{"categories":3013},[55],{"categories":3015},[138],{"categories":3017},[55],{"categories":3019},[55],{"categories":3021},[55],{"categories":3023},[55],{"categories":3025},[],{"categories":3027},[178],{"categories":3029},[101],{"categories":3031},[106],{"categories":3033},[55],{"categories":3035},[],{"categories":3037},[55],{"categories":3039},[106],{"categories":3041},[55],{"categories":3043},[232],{"categories":3045},[],{"categories":3047},[175],{"categories":3049},[175],{"categories":3051},[],{"categories":3053},[116],{"categories":3055},[55],{"categories":3057},[175],{"categories":3059},[55],{"categories":3061},[101],{"categories":3063},[106],{"categories":3065},[55],{"categories":3067},[],{"categories":3069},[138],{"categories":3071},[55],{"categories":3073},[55],{"categories":3075},[55],{"categories":3077},[175],{"categories":3079},[106],{"categories":3081},[138],{"categories":3083},[],{"categories":3085},[106],{"categories":3087},[106],{"categories":3089},[175],{"categories":3091},[55],{"categories":3093},[55],{"categories":3095},[55],{"categories":3097},[381],{"categories":3099},[55],{"categories":3101},[],{"categories":3103},[55],{"categories":3105},[55],{"categories":3107},[232],{"categories":3109},[138],{"categories":3111},[178],{"categories":3113},[466],{"categories":3115},[178],{"categories":3117},[],{"categories":3119},[],{"categories":3121},[],{"categories":3123},[106],{"categories":3125},[106],{"categories":3127},[116],{"categories":3129},[55],{"categories":3131},[364],{"categories":3133},[116],{"categories":3135},[55],{"categories":3137},[55],{"categories":3139},[55],{"categories":3141},[55],{"categories":3143},[106],{"categories":3145},[],{"categories":3147},[],{"categories":3149},[55],{"categories":3151},[],{"categories":3153},[55],{"categories":3155},[106],{"categories":3157},[175],{"categories":3159},[55],{"categories":3161},[55],{"categories":3163},[],{"categories":3165},[109],{"categories":3167},[55],{"categories":3169},[175],{"categories":3171},[55],{"categories":3173},[106],{"categories":3175},[101],{"categories":3177},[55],{"categories":3179},[201],{"categories":3181},[106],{"categories":3183},[55],{"categories":3185},[724],{"categories":3187},[55],{"categories":3189},[106],{"categories":3191},[55],{"categories":3193},[116],{"categories":3195},[55],{"categories":3197},[430],{"categories":3199},[175],{"categories":3201},[],{"categories":3203},[138],{"categories":3205},[381],{"categories":3207},[106],{"categories":3209},[55],{"categories":3211},[],{"categories":3213},[138],{"categories":3215},[318],{"categories":3217},[106],{"categories":3219},[106],{"categories":3221},[55],{"categories":3223},[55],{"categories":3225},[106],{"categories":3227},[],{"categories":3229},[101],{"categories":3231},[106],{"categories":3233},[],{"categories":3235},[116],{"categories":3237},[55],{"categories":3239},[98],{"categories":3241},[138],{"categories":3243},[232],{"categories":3245},[127],{"categories":3247},[106],{"categories":3249},[106],{"categories":3251},[55],{"categories":3253},[106],{"categories":3255},[98],{"categories":3257},[],{"categories":3259},[55],{"categories":3261},[55],{"categories":3263},[],{"categories":3265},[],{"categories":3267},[175],{"categories":3269},[55,101],{"categories":3271},[106],{"categories":3273},[55],{"categories":3275},[],{"categories":3277},[98],{"categories":3279},[178],{"categories":3281},[101],{"categories":3283},[55],{"categories":3285},[116],{"categories":3287},[55],{"categories":3289},[106],{"categories":3291},[55],{"categories":3293},[55],{"categories":3295},[55],{"categories":3297},[138],{"categories":3299},[1003],{"categories":3301},[106],{"categories":3303},[55],{"categories":3305},[],{"categories":3307},[],{"categories":3309},[106],{"categories":3311},[55],{"categories":3313},[232],{"categories":3315},[],{"categories":3317},[55],{"categories":3319},[106],{"categories":3321},[127],{"categories":3323},[106],{"categories":3325},[381],{"categories":3327},[],{"categories":3329},[339],{"categories":3331},[106],{"categories":3333},[55],{"categories":3335},[201],{"categories":3337},[55],{"categories":3339},[178],{"categories":3341},[106],{"categories":3343},[55],{"categories":3345},[381],{"categories":3347},[55],{"categories":3349},[232],{"categories":3351},[],{"categories":3353},[55],{"categories":3355},[201],{"categories":3357},[175],{"categories":3359},[55],{"categories":3361},[55],{"categories":3363},[],{"categories":3365},[201],{"categories":3367},[138],{"categories":3369},[55],{"categories":3371},[55],{"categories":3373},[466],{"categories":3375},[98],{"categories":3377},[55],{"categories":3379},[],{"categories":3381},[],{"categories":3383},[175],{"categories":3385},[55],{"categories":3387},[178],{"categories":3389},[201],{"categories":3391},[106],{"categories":3393},[201],{"categories":3395},[138],{"categories":3397},[],{"categories":3399},[55],{"categories":3401},[],{"categories":3403},[55],{"categories":3405},[485],{"categories":3407},[55],{"categories":3409},[55],{"categories":3411},[106],{"categories":3413},[381],{"categories":3415},[55],{"categories":3417},[55],{"categories":3419},[55],{"categories":3421},[],{"categories":3423},[55,116],{"categories":3425},[138],{"categories":3427},[106],{"categories":3429},[116],{"categories":3431},[106],{"categories":3433},[754],{"categories":3435},[116],{"categories":3437},[55],{"categories":3439},[98],{"categories":3441},[],{"categories":3443},[],{"categories":3445},[106],{"categories":3447},[55],{"categories":3449},[116],{"categories":3451},[98],{"categories":3453},[116],{"categories":3455},[116],{"categories":3457},[55],{"categories":3459},[201],{"categories":3461},[55],{"categories":3463},[116],{"categories":3465},[],{"categories":3467},[55],{"categories":3469},[175,55],{"categories":3471},[232],{"categories":3473},[98],{"categories":3475},[],{"categories":3477},[55],{"categories":3479},[55],{"categories":3481},[101],{"categories":3483},[101],{"categories":3485},[55],{"categories":3487},[55],{"categories":3489},[318],{"categories":3491},[55],{"categories":3493},[116],{"categories":3495},[178],{"categories":3497},[106],{"categories":3499},[55],{"categories":3501},[55],{"categories":3503},[138],{"categories":3505},[201],{"categories":3507},[175],{"categories":3509},[55],{"categories":3511},[55],{"categories":3513},[55],{"categories":3515},[55],{"categories":3517},[98],{"categories":3519},[55],{"categories":3521},[106],{"categories":3523},[106],{"categories":3525},[116],{"categories":3527},[138],{"categories":3529},[116],{"categories":3531},[],{"categories":3533},[],{"categories":3535},[178],{"categories":3537},[55],{"categories":3539},[116],{"categories":3541},[55],{"categories":3543},[175],{"categories":3545},[381],{"categories":3547},[339],{"categories":3549},[318],{"categories":3551},[55],{"categories":3553},[55],{"categories":3555},[55],{"categories":3557},[178],{"categories":3559},[55],{"categories":3561},[55],{"categories":3563},[55],{"categories":3565},[106],{"categories":3567},[98],{"categories":3569},[106],{"categories":3571},[55,101],{"categories":3573},[],{"categories":3575},[175],{"categories":3577},[],{"categories":3579},[109],{"categories":3581},[55],{"categories":3583},[138],{"categories":3585},[98],{"categories":3587},[98],{"categories":3589},[106],{"categories":3591},[106],{"categories":3593},[106],{"categories":3595},[55],{"categories":3597},[55],{"categories":3599},[101],{"categories":3601},[116],{"categories":3603},[201],{"categories":3605},[55],{"categories":3607},[],{"categories":3609},[138],{"categories":3611},[55],{"categories":3613},[55],{"categories":3615},[55],{"categories":3617},[55],{"categories":3619},[55],{"categories":3621},[116],{"categories":3623},[138],{"categories":3625},[116],{"categories":3627},[116],{"categories":3629},[55],{"categories":3631},[55],{"categories":3633},[339],{"categories":3635},[55],{"categories":3637},[106],{"categories":3639},[138],{"categories":3641},[55],{"categories":3643},[55],{"categories":3645},[55],{"categories":3647},[106],{"categories":3649},[55],{"categories":3651},[55],{"categories":3653},[55],{"categories":3655},[2528],{"categories":3657},[3658],"Clinical AI",{"categories":3660},[175],{"categories":3662},[55],{"categories":3664},[55],{"categories":3666},[55],{"categories":3668},[232],{"categories":3670},[2007],{"categories":3672},[55],{"categories":3674},[109],{"categories":3676},[55],{"categories":3678},[106],{"categories":3680},[55],{"categories":3682},[55],{"categories":3684},[138],{"categories":3686},[55],{"categories":3688},[106],{"categories":3690},[201],{"categories":3692},[55],{"categories":3694},[55],{"categories":3696},[101],{"categories":3698},[55],{"categories":3700},[430],{"categories":3702},[55],{"categories":3704},[],{"categories":3706},[55],{"categories":3708},[116],{"categories":3710},[55],{"categories":3712},[],{"categories":3714},[],{"categories":3716},[55],{"categories":3718},[],{"categories":3720},[101],{"categories":3722},[55],{"categories":3724},[106],{"categories":3726},[138],{"categories":3728},[138],{"categories":3730},[138],{"categories":3732},[138],{"categories":3734},[],{"categories":3736},[98],{"categories":3738},[106],{"categories":3740},[138],{"categories":3742},[55],{"categories":3744},[485],{"categories":3746},[109],{"categories":3748},[55],{"categories":3750},[98],{"categories":3752},[106],{"categories":3754},[55],{"categories":3756},[55],{"categories":3758},[55,106],{"categories":3760},[106],{"categories":3762},[232],{"categories":3764},[138],{"categories":3766},[106],{"categories":3768},[138],{"categories":3770},[106],{"categories":3772},[55],{"categories":3774},[],{"categories":3776},[138],{"categories":3778},[201],{"categories":3780},[98],{"categories":3782},[55],{"categories":3784},[55],{"categories":3786},[],{"categories":3788},[116],{"categories":3790},[],{"categories":3792},[98],{"categories":3794},[106],{"categories":3796},[138],{"categories":3798},[55],{"categories":3800},[138],{"categories":3802},[98],{"categories":3804},[138],{"categories":3806},[138],{"categories":3808},[],{"categories":3810},[101],{"categories":3812},[106],{"categories":3814},[138],{"categories":3816},[138],{"categories":3818},[138],{"categories":3820},[138],{"categories":3822},[138],{"categories":3824},[138],{"categories":3826},[138],{"categories":3828},[138],{"categories":3830},[138],{"categories":3832},[138],{"categories":3834},[178],{"categories":3836},[98],{"categories":3838},[55],{"categories":3840},[55],{"categories":3842},[106],{"categories":3844},[106],{"categories":3846},[],{"categories":3848},[55,98],{"categories":3850},[],{"categories":3852},[106],{"categories":3854},[138],{"categories":3856},[106],{"categories":3858},[754],{"categories":3860},[55],{"categories":3862},[55],{"categories":3864},[55],{"categories":3866},[55],{"categories":3868},[318],{"categories":3870},[55],{"categories":3872},[106],{"categories":3874},[101],{"categories":3876},[106],{"categories":3878},[106],{"categories":3880},[],{"categories":3882},[106],{"categories":3884},[175],{"categories":3886},[138],{"categories":3888},[55],{"categories":3890},[],{"categories":3892},[],{"categories":3894},[106],{"categories":3896},[175],{"categories":3898},[55],{"categories":3900},[],{"categories":3902},[55],{"categories":3904},[],{"categories":3906},[201],{"categories":3908},[55],{"categories":3910},[],{"categories":3912},[],{"categories":3914},[138],{"categories":3916},[98],{"categories":3918},[55],{"categories":3920},[55],{"categories":3922},[101],{"categories":3924},[55],{"categories":3926},[55],{"categories":3928},[55],{"categories":3930},[101],{"categories":3932},[175],{"categories":3934},[],{"categories":3936},[55],{"categories":3938},[138],{"categories":3940},[],{"categories":3942},[55],{"categories":3944},[55],{"categories":3946},[175],{"categories":3948},[55],{"categories":3950},[201],{"categories":3952},[55],{"categories":3954},[232],{"categories":3956},[],{"categories":3958},[106],{"categories":3960},[201],{"categories":3962},[116],{"categories":3964},[],{"categories":3966},[55],{"categories":3968},[],{"categories":3970},[106],{"categories":3972},[175],{"categories":3974},[116],{"categories":3976},[],{"categories":3978},[2528],{"categories":3980},[101],{"categories":3982},[98],{"categories":3984},[178],{"categories":3986},[106],{"categories":3988},[175],{"categories":3990},[116],{"categories":3992},[],{"categories":3994},[],{"categories":3996},[55],{"categories":3998},[98],{"categories":4000},[55],{"categories":4002},[201],{"categories":4004},[],{"categories":4006},[106],{"categories":4008},[106],{"categories":4010},[106],{"categories":4012},[55],{"categories":4014},[138],{"categories":4016},[116],{"categories":4018},[55],{"categories":4020},[106],{"categories":4022},[109],{"categories":4024},[55],{"categories":4026},[106],{"categories":4028},[55],{"categories":4030},[109],{"categories":4032},[201],{"categories":4034},[138],{"categories":4036},[],{"categories":4038},[201],{"categories":4040},[],{"categories":4042},[116],{"categories":4044},[106],{"categories":4046},[],{"categories":4048},[55],{"categories":4050},[55],{"categories":4052},[55],{"categories":4054},[55],{"categories":4056},[106],{"categories":4058},[101],{"categories":4060},[98],{"categories":4062},[55],{"categories":4064},[175],{"categories":4066},[116],{"categories":4068},[116],{"categories":4070},[55],{"categories":4072},[178],{"categories":4074},[106],{"categories":4076},[55],{"categories":4078},[106],{"categories":4080},[55],{"categories":4082},[101],{"categories":4084},[175],{"categories":4086},[116],{"categories":4088},[106],{"categories":4090},[55],{"categories":4092},[109],{"categories":4094},[55],{"categories":4096},[106],{"categories":4098},[55],{"categories":4100},[138],{"categories":4102},[],{"categories":4104},[98],{"categories":4106},[55],{"categories":4108},[55],{"categories":4110},[55],{"categories":4112},[116],{"categories":4114},[55],{"categories":4116},[116],{"categories":4118},[55],{"categories":4120},[106],{"categories":4122},[55],{"categories":4124},[55],{"categories":4126},[55],{"categories":4128},[55],{"categories":4130},[],{"categories":4132},[55],{"categories":4134},[175],{"categories":4136},[101],{"categories":4138},[138],{"categories":4140},[106],{"categories":4142},[55],{"categories":4144},[55],{"categories":4146},[175],{"categories":4148},[106],{"categories":4150},[55],{"categories":4152},[201],{"categories":4154},[55],{"categories":4156},[178],{"categories":4158},[55],{"categories":4160},[55],{"categories":4162},[138],{"categories":4164},[55],{"categories":4166},[55],{"categories":4168},[106],{"categories":4170},[232],{"categories":4172},[55],{"categories":4174},[116],{"categories":4176},[106],{"categories":4178},[178],{"categories":4180},[],{"categories":4182},[106],{"categories":4184},[116],{"categories":4186},[55],{"categories":4188},[1871],{"categories":4190},[175],{"categories":4192},[259],{"categories":4194},[55],{"categories":4196},[98],{"categories":4198},[116],{"categories":4200},[101],{"categories":4202},[116],{"categories":4204},[55],{"categories":4206},[],{"categories":4208},[106],{"categories":4210},[106],{"categories":4212},[55],{"categories":4214},[55],{"categories":4216},[178],{"categories":4218},[],{"categories":4220},[138],{"categories":4222},[],{"categories":4224},[138],{"categories":4226},[55],{"categories":4228},[55],{"categories":4230},[106],{"categories":4232},[106],{"categories":4234},[106],{"categories":4236},[],{"categories":4238},[138],{"categories":4240},[55],{"categories":4242},[],{"categories":4244},[55],{"categories":4246},[55],{"categories":4248},[],{"categories":4250},[175],{"categories":4252},[116],{"categories":4254},[106],{"categories":4256},[55],{"categories":4258},[55],{"categories":4260},[201],{"categories":4262},[55],{"categories":4264},[55],{"categories":4266},[98],{"categories":4268},[],{"categories":4270},[55],{"categories":4272},[55],{"categories":4274},[],{"categories":4276},[98],{"categories":4278},[138],{"categories":4280},[116],{"categories":4282},[381],{"categories":4284},[55],{"categories":4286},[55],{"categories":4288},[55],{"categories":4290},[116],{"categories":4292},[138],{"categories":4294},[175],{"categories":4296},[55],{"categories":4298},[55],{"categories":4300},[55],{"categories":4302},[138],{"categories":4304},[175],{"categories":4306},[55],{"categories":4308},[138],{"categories":4310},[175],{"categories":4312},[55],{"categories":4314},[138],{"categories":4316},[106],{"categories":4318},[106],{"categories":4320},[106],{"categories":4322},[116],{"categories":4324},[138],{"categories":4326},[106],{"categories":4328},[106],{"categories":4330},[55],{"categories":4332},[116],{"categories":4334},[175],{"categories":4336},[55],{"categories":4338},[],{"categories":4340},[106],{"categories":4342},[],{"categories":4344},[],{"categories":4346},[],{"categories":4348},[106],{"categories":4350},[101],{"categories":4352},[106],{"categories":4354},[4355],"Liability & Ethics",{"categories":4357},[55],{"categories":4359},[106],{"categories":4361},[98],{"categories":4363},[106],{"categories":4365},[101],{"categories":4367},[201],{"categories":4369},[106],{"categories":4371},[],{"categories":4373},[466],{"categories":4375},[106],{"categories":4377},[],{"categories":4379},[98],{"categories":4381},[106],{"categories":4383},[],{"categories":4385},[106],{"categories":4387},[55],{"categories":4389},[55],{"categories":4391},[138],{"categories":4393},[55],{"categories":4395},[55],{"categories":4397},[106],{"categories":4399},[55],{"categories":4401},[55],{"categories":4403},[138],{"categories":4405},[106],{"categories":4407},[116],{"categories":4409},[175],{"categories":4411},[98],{"categories":4413},[55],{"categories":4415},[],{"categories":4417},[106],{"categories":4419},[106],{"categories":4421},[381],{"categories":4423},[175],{"categories":4425},[232],{"categories":4427},[138],{"categories":4429},[55],{"categories":4431},[175],{"categories":4433},[55],{"categories":4435},[98],{"categories":4437},[],{"categories":4439},[106],{"categories":4441},[55],{"categories":4443},[55],{"categories":4445},[106],{"categories":4447},[55],{"categories":4449},[175],{"categories":4451},[],{"categories":4453},[106],{"categories":4455},[109],{"categories":4457},[138],{"categories":4459},[106],{"categories":4461},[101],{"categories":4463},[],{"categories":4465},[55],{"categories":4467},[109],{"categories":4469},[55],{"categories":4471},[106],{"categories":4473},[138],{"categories":4475},[98],{"categories":4477},[232],{"categories":4479},[55],{"categories":4481},[55],{"categories":4483},[55],{"categories":4485},[138],{"categories":4487},[101],{"categories":4489},[55],{"categories":4491},[175],{"categories":4493},[138],{"categories":4495},[232],{"categories":4497},[55],{"categories":4499},[106],{"categories":4501},[],{"categories":4503},[430],{"categories":4505},[],{"categories":4507},[55],{"categories":4509},[232],{"categories":4511},[178],{"categories":4513},[106],{"categories":4515},[106],{"categories":4517},[4518],"Design News & Tools",{"categories":4520},[55],{"categories":4522},[138],{"categories":4524},[55],{"categories":4526},[98],{"categories":4528},[55],{"categories":4530},[175],{"categories":4532},[106],{"categories":4534},[106],{"categories":4536},[55],{"categories":4538},[381],{"categories":4540},[55],{"categories":4542},[381],{"categories":4544},[201],{"categories":4546},[55],{"categories":4548},[106],{"categories":4550},[],{"categories":4552},[55],{"categories":4554},[55],{"categories":4556},[55],{"categories":4558},[138],{"categories":4560},[98],{"categories":4562},[],{"categories":4564},[55],{"categories":4566},[55],{"categories":4568},[116],{"categories":4570},[485],{"categories":4572},[116],{"categories":4574},[175],{"categories":4576},[55],{"categories":4578},[55,106],{"categories":4580},[201,101],{"categories":4582},[55],{"categories":4584},[55],{"categories":4586},[55],{"categories":4588},[],{"categories":4590},[106],{"categories":4592},[],{"categories":4594},[116],{"categories":4596},[55],{"categories":4598},[116],{"categories":4600},[],{"categories":4602},[106],{"categories":4604},[55],{"categories":4606},[138],{"categories":4608},[55],{"categories":4610},[],{"categories":4612},[106],{"categories":4614},[55],{"categories":4616},[],{"categories":4618},[175],{"categories":4620},[55],{"categories":4622},[106],{"categories":4624},[55],{"categories":4626},[55],{"categories":4628},[98],{"categories":4630},[106],{"categories":4632},[55],{"categories":4634},[],{"categories":4636},[232],{"categories":4638},[201],{"categories":4640},[101],{"categories":4642},[101],{"categories":4644},[55],{"categories":4646},[98],{"categories":4648},[98],{"categories":4650},[55],{"categories":4652},[106],{"categories":4654},[55],{"categories":4656},[55],{"categories":4658},[55],{"categories":4660},[116],{"categories":4662},[55],{"categories":4664},[98],{"categories":4666},[106],{"categories":4668},[55],{"categories":4670},[201],{"categories":4672},[55],{"categories":4674},[138],{"categories":4676},[55],{"categories":4678},[55],{"categories":4680},[106],{"categories":4682},[55],{"categories":4684},[],{"categories":4686},[116],{"categories":4688},[],{"categories":4690},[116],{"categories":4692},[106],{"categories":4694},[98],{"categories":4696},[],{"categories":4698},[178],{"categories":4700},[232],{"categories":4702},[55],{"categories":4704},[116],{"categories":4706},[55],{"categories":4708},[],{"categories":4710},[138],{"categories":4712},[106],{"categories":4714},[116],{"categories":4716},[175],{"categories":4718},[55],{"categories":4720},[106],{"categories":4722},[116],{"categories":4724},[106],{"categories":4726},[138],{"categories":4728},[55],{"categories":4730},[98],{"categories":4732},[138],{"categories":4734},[116],{"categories":4736},[55],{"categories":4738},[175],{"categories":4740},[101],{"categories":4742},[55],{"categories":4744},[55],{"categories":4746},[55],{"categories":4748},[55],{"categories":4750},[55],{"categories":4752},[106],{"categories":4754},[55],{"categories":4756},[106],{"categories":4758},[55],{"categories":4760},[55],{"categories":4762},[98],{"categories":4764},[55],{"categories":4766},[106],{"categories":4768},[106],{"categories":4770},[175],{"categories":4772},[106],{"categories":4774},[106],{"categories":4776},[98],{"categories":4778},[106],{"categories":4780},[175],{"categories":4782},[],{"categories":4784},[55],{"categories":4786},[178],{"categories":4788},[381],{"categories":4790},[55],{"categories":4792},[55],{"categories":4794},[55],{"categories":4796},[116],{"categories":4798},[],{"categories":4800},[106],{"categories":4802},[201],{"categories":4804},[55],{"categories":4806},[138],{"categories":4808},[106],{"categories":4810},[55],{"categories":4812},[201],{"categories":4814},[106],{"categories":4816},[101],{"categories":4818},[101],{"categories":4820},[55],{"categories":4822},[55],{"categories":4824},[55],{"categories":4826},[98],{"categories":4828},[],{"categories":4830},[55],{"categories":4832},[106],{"categories":4834},[106],{"categories":4836},[55],{"categories":4838},[55],{"categories":4840},[55],{"categories":4842},[116],{"categories":4844},[],{"categories":4846},[98],{"categories":4848},[55],{"categories":4850},[55],{"categories":4852},[106],{"categories":4854},[106],{"categories":4856},[],{"categories":4858},[116],{"categories":4860},[116],{"categories":4862},[55],{"categories":4864},[201],{"categories":4866},[101],{"categories":4868},[175],{"categories":4870},[],{"categories":4872},[55],{"categories":4874},[106],{"categories":4876},[98],{"categories":4878},[55],{"categories":4880},[116],{"categories":4882},[98],{"categories":4884},[138],{"categories":4886},[178],{"categories":4888},[138],{"categories":4890},[106],{"categories":4892},[],{"categories":4894},[138],{"categories":4896},[106],{"categories":4898},[175],{"categories":4900},[178],{"categories":4902},[55],{"categories":4904},[],{"categories":4906},[106],{"categories":4908},[2528],{"categories":4910},[138],{"categories":4912},[116],{"categories":4914},[55],{"categories":4916},[55],{"categories":4918},[101],{"categories":4920},[55],{"categories":4922},[98],{"categories":4924},[1449],{"categories":4926},[232],{"categories":4928},[98],{"categories":4930},[],{"categories":4932},[],{"categories":4934},[138],{"categories":4936},[106],{"categories":4938},[138],{"categories":4940},[],{"categories":4942},[106],{"categories":4944},[106],{"categories":4946},[106],{"categories":4948},[],{"categories":4950},[55],{"categories":4952},[],{"categories":4954},[138],{"categories":4956},[98],{"categories":4958},[175],{"categories":4960},[55],{"categories":4962},[106],{"categories":4964},[138],{"categories":4966},[55],{"categories":4968},[138],{"categories":4970},[],{"categories":4972},[138],{"categories":4974},[98],{"categories":4976},[381],{"categories":4978},[106],{"categories":4980},[55],{"categories":4982},[],{"categories":4984},[116],{"categories":4986},[106],{"categories":4988},[109],{"categories":4990},[106],{"categories":4992},[98],{"categories":4994},[],{"categories":4996},[],{"categories":4998},[],{"categories":5000},[175],{"categories":5002},[106],{"categories":5004},[55],{"categories":5006},[55],{"categories":5008},[],{"categories":5010},[],{"categories":5012},[],{"categories":5014},[175],{"categories":5016},[55],{"categories":5018},[],{"categories":5020},[106],{"categories":5022},[55],{"categories":5024},[98],{"categories":5026},[],{"categories":5028},[],{"categories":5030},[175],{"categories":5032},[55],{"categories":5034},[138],{"categories":5036},[],{"categories":5038},[201],{"categories":5040},[138],{"categories":5042},[201],{"categories":5044},[178],{"categories":5046},[55],{"categories":5048},[55],{"categories":5050},[],{"categories":5052},[],{"categories":5054},[106],{"categories":5056},[],{"categories":5058},[55],{"categories":5060},[381],{"categories":5062},[55],{"categories":5064},[55],{"categories":5066},[55],{"categories":5068},[],{"categories":5070},[106],{"categories":5072},[55],{"categories":5074},[55],{"categories":5076},[],{"categories":5078},[106],{"categories":5080},[55],{"categories":5082},[138],{"categories":5084},[55],{"categories":5086},[201],{"categories":5088},[101],{"categories":5090},[55],{"categories":5092},[55],{"categories":5094},[106],{"categories":5096},[178],{"categories":5098},[106],{"categories":5100},[106],{"categories":5102},[],{"categories":5104},[],{"categories":5106},[55],{"categories":5108},[],{"categories":5110},[138],{"categories":5112},[101],{"categories":5114},[],{"categories":5116},[],{"categories":5118},[175],{"categories":5120},[98],{"categories":5122},[],{"categories":5124},[101],{"categories":5126},[201],{"categories":5128},[55],{"categories":5130},[116],{"categories":5132},[98],{"categories":5134},[178],{"categories":5136},[101],{"categories":5138},[116],{"categories":5140},[116],{"categories":5142},[],{"categories":5144},[55],{"categories":5146},[],{"categories":5148},[106],{"categories":5150},[98],{"categories":5152},[175],{"categories":5154},[55],{"categories":5156},[98],{"categories":5158},[106],{"categories":5160},[232],{"categories":5162},[55],{"categories":5164},[55],{"categories":5166},[55],{"categories":5168},[98],{"categories":5170},[178],{"categories":5172},[106],{"categories":5174},[],{"categories":5176},[55],{"categories":5178},[116],{"categories":5180},[138],{"categories":5182},[116],{"categories":5184},[55],{"categories":5186},[109],{"categories":5188},[],{"categories":5190},[175],{"categories":5192},[138],{"categories":5194},[98],{"categories":5196},[106],{"categories":5198},[55],{"categories":5200},[55],{"categories":5202},[106],{"categories":5204},[55],{"categories":5206},[55],{"categories":5208},[101],{"categories":5210},[106],{"categories":5212},[106,232],{"categories":5214},[106],{"categories":5216},[116],{"categories":5218},[55],{"categories":5220},[55],{"categories":5222},[178],{"categories":5224},[106],{"categories":5226},[201],{"categories":5228},[106],{"categories":5230},[101],{"categories":5232},[],{"categories":5234},[106],{"categories":5236},[55],{"categories":5238},[101],{"categories":5240},[],{"categories":5242},[],{"categories":5244},[116],{"categories":5246},[55],{"categories":5248},[55],{"categories":5250},[106],{"categories":5252},[178],{"categories":5254},[201],{"categories":5256},[55],{"categories":5258},[55],{"categories":5260},[106],{"categories":5262},[],{"categories":5264},[106],{"categories":5266},[138],{"categories":5268},[106],{"categories":5270},[],{"categories":5272},[138],{"categories":5274},[116],{"categories":5276},[2528],{"categories":5278},[98],{"categories":5280},[116],{"categories":5282},[55],{"categories":5284},[106],{"categories":5286},[55],{"categories":5288},[55],{"categories":5290},[201],{"categories":5292},[116],{"categories":5294},[],{"categories":5296},[138],{"categories":5298},[55],{"categories":5300},[],{"categories":5302},[106],{"categories":5304},[55],{"categories":5306},[55],{"categories":5308},[55],{"categories":5310},[106],{"categories":5312},[55],{"categories":5314},[55],{"categories":5316},[109],{"categories":5318},[106],{"categories":5320},[55],{"categories":5322},[55],{"categories":5324},[55],{"categories":5326},[55],{"categories":5328},[55],{"categories":5330},[55],{"categories":5332},[101],{"categories":5334},[],{"categories":5336},[109],{"categories":5338},[138],{"categories":5340},[106],{"categories":5342},[55],{"categories":5344},[116],{"categories":5346},[],{"categories":5348},[116],{"categories":5350},[116],{"categories":5352},[106],{"categories":5354},[116],{"categories":5356},[55],{"categories":5358},[55],{"categories":5360},[116],{"categories":5362},[55],{"categories":5364},[106],{"categories":5366},[138],{"categories":5368},[55],{"categories":5370},[55],{"categories":5372},[55],{"categories":5374},[101],{"categories":5376},[55],{"categories":5378},[106],{"categories":5380},[175],{"categories":5382},[],{"categories":5384},[55],{"categories":5386},[178],{"categories":5388},[106],{"categories":5390},[55],{"categories":5392},[],{"categories":5394},[55],{"categories":5396},[55],{"categories":5398},[138],{"categories":5400},[55],{"categories":5402},[55],{"categories":5404},[106],{"categories":5406},[201],{"categories":5408},[],{"categories":5410},[],{"categories":5412},[116],{"categories":5414},[138],{"categories":5416},[116],{"categories":5418},[138],{"categories":5420},[55],{"categories":5422},[201],{"categories":5424},[55],{"categories":5426},[98],{"categories":5428},[106],{"categories":5430},[55],{"categories":5432},[106],{"categories":5434},[106],{"categories":5436},[55],{"categories":5438},[101],{"categories":5440},[],{"categories":5442},[178],{"categories":5444},[55],{"categories":5446},[],{"categories":5448},[138],{"categories":5450},[55],{"categories":5452},[178],{"categories":5454},[55],{"categories":5456},[116],{"categories":5458},[116],{"categories":5460},[116],{"categories":5462},[106],{"categories":5464},[106],{"categories":5466},[106],{"categories":5468},[55],{"categories":5470},[55],{"categories":5472},[175],{"categories":5474},[178],{"categories":5476},[178],{"categories":5478},[],{"categories":5480},[138],{"categories":5482},[55],{"categories":5484},[55],{"categories":5486},[116],{"categories":5488},[],{"categories":5490},[138],{"categories":5492},[138],{"categories":5494},[138],{"categories":5496},[],{"categories":5498},[106],{"categories":5500},[55],{"categories":5502},[],{"categories":5504},[98],{"categories":5506},[101],{"categories":5508},[],{"categories":5510},[55],{"categories":5512},[55],{"categories":5514},[],{"categories":5516},[116],{"categories":5518},[],{"categories":5520},[],{"categories":5522},[],{"categories":5524},[],{"categories":5526},[55],{"categories":5528},[138],{"categories":5530},[],{"categories":5532},[],{"categories":5534},[55],{"categories":5536},[55],{"categories":5538},[55],{"categories":5540},[178],{"categories":5542},[55],{"categories":5544},[178],{"categories":5546},[],{"categories":5548},[178],{"categories":5550},[178],{"categories":5552},[232],{"categories":5554},[106],{"categories":5556},[116],{"categories":5558},[],{"categories":5560},[],{"categories":5562},[178],{"categories":5564},[116],{"categories":5566},[116],{"categories":5568},[116],{"categories":5570},[],{"categories":5572},[98],{"categories":5574},[116],{"categories":5576},[116],{"categories":5578},[98],{"categories":5580},[116],{"categories":5582},[101],{"categories":5584},[116],{"categories":5586},[116],{"categories":5588},[116],{"categories":5590},[178],{"categories":5592},[138],{"categories":5594},[138],{"categories":5596},[55],{"categories":5598},[116],{"categories":5600},[178],{"categories":5602},[232],{"categories":5604},[178],{"categories":5606},[178],{"categories":5608},[178],{"categories":5610},[],{"categories":5612},[101],{"categories":5614},[],{"categories":5616},[232],{"categories":5618},[116],{"categories":5620},[116],{"categories":5622},[116],{"categories":5624},[106],{"categories":5626},[138,101],{"categories":5628},[178],{"categories":5630},[],{"categories":5632},[],{"categories":5634},[178],{"categories":5636},[],{"categories":5638},[178],{"categories":5640},[138],{"categories":5642},[106],{"categories":5644},[],{"categories":5646},[116],{"categories":5648},[55],{"categories":5650},[175],{"categories":5652},[],{"categories":5654},[55],{"categories":5656},[],{"categories":5658},[138],{"categories":5660},[98],{"categories":5662},[178],{"categories":5664},[],{"categories":5666},[116],{"categories":5668},[138],[5670,5733,5856,5920],{"id":5671,"title":5672,"ai":5673,"body":5678,"categories":5706,"created_at":56,"date_modified":56,"description":47,"extension":57,"faq":56,"featured":58,"kicker_label":56,"meta":5707,"navigation":77,"path":5719,"published_at":5720,"question":56,"scraped_at":5721,"seo":5722,"sitemap":5723,"source_id":5724,"source_name":5725,"source_type":84,"source_url":5726,"stem":5727,"tags":5728,"thumbnail_url":56,"tldr":5730,"tweet":56,"unknown_tags":5731,"__hash__":5732},"summaries\u002Fsummaries\u002Fd8d06740c33ad511-general-intuition-uses-gameplay-data-to-train-embo-summary.md","General Intuition Uses Gameplay Data to Train Embodied AI Agents",{"provider":7,"model":8,"input_tokens":5674,"output_tokens":5675,"processing_time_ms":5676,"cost_usd":5677},7266,631,3792,0.002763,{"type":14,"value":5679,"toc":5701},[5680,5684,5687,5691,5694,5698],[17,5681,5683],{"id":5682},"gameplay-as-a-training-ground-for-embodied-ai","Gameplay as a Training Ground for Embodied AI",[22,5685,5686],{},"General Intuition is betting that the key to building generalized AI agents lies in video game data. By leveraging hundreds of millions of hours of gameplay from the platform Medal, the company trains models on spatial-temporal reasoning. Unlike competitors who attempt to infer actions from video alone, General Intuition utilizes the specific action labels embedded in game clips—the exact button presses and timing—to teach the model how to navigate environments and understand causality. This approach allows the model to distinguish between the 'self' and the 'environment,' a critical step for physical embodiment.",[17,5688,5690],{"id":5689},"from-simulation-to-physical-reality","From Simulation to Physical Reality",[22,5692,5693],{},"The company uses a proprietary world model, referred to as \"the gym,\" to simulate environments frame-by-frame. This simulation serves as the training ground for agents that can eventually control physical hardware, such as quadrupedal robots. In one demonstration, a robot was fine-tuned for navigation using only eight minutes of real-world data, with the model's base intelligence derived entirely from its virtual training. The company claims this model is compatible with any hardware controllable via standard game inputs (keyboard, mouse, or controller), positioning itself as an ecosystem enabler rather than a hardware manufacturer.",[17,5695,5697],{"id":5696},"a-data-driven-business-strategy","A Data-Driven Business Strategy",[22,5699,5700],{},"General Intuition recently raised $320 million at a $2.3 billion valuation, bringing its total funding to $454 million. The capital is primarily earmarked for scaling compute capacity to pre-train future model versions. The company’s strategy involves a \"data flywheel\": they intend to partner with customers who provide diverse, real-world data, which in turn improves the model's performance across various embodiments. Furthermore, the company is launching \"Nerve,\" a jobs marketplace that allows gamers to participate in data labeling and robot teleoperation, aiming to provide economic opportunities for the demographic most impacted by AI-driven labor displacement. CEO Pim de Witte has also explicitly restricted the use of its technology for lethal autonomous weapons, citing ethical concerns.",{"title":47,"searchDepth":48,"depth":48,"links":5702},[5703,5704,5705],{"id":5682,"depth":48,"text":5683},{"id":5689,"depth":48,"text":5690},{"id":5696,"depth":48,"text":5697},[55],{"content_references":5708,"triage":5716},[5709,5714],{"type":5710,"title":5711,"url":5712,"context":5713},"tool","Medal","https:\u002F\u002Fmedal.tv\u002F","mentioned",{"type":5710,"title":5715,"context":5713},"Nerve",{"relevance":74,"novelty":74,"quality":73,"actionability":48,"composite":5717,"reasoning":5718},3.05,"Category: AI & LLMs. The article discusses a novel approach to training AI agents using gameplay data, which is relevant to AI engineering. However, it lacks specific actionable insights or frameworks that the audience can directly apply in their work.","\u002Fsummaries\u002Fd8d06740c33ad511-general-intuition-uses-gameplay-data-to-train-embo-summary","2026-06-25 16:55:00","2026-06-26 12:58:22",{"title":5672,"description":47},{"loc":5719},"d8d06740c33ad511","TechCrunch — AI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F06\u002F25\u002Fgeneral-intuitions-2-3b-bet-that-video-games-can-train-ai-agents-for-the-real-world\u002F","summaries\u002Fd8d06740c33ad511-general-intuition-uses-gameplay-data-to-train-embo-summary",[88,5729,89,90],"machine-learning","General Intuition is using hundreds of millions of hours of labeled gameplay data to train AI models in spatial-temporal reasoning, aiming to create a generalized 'brain' that can control both virtual agents and physical robots.",[89,90],"7-Vddzh94YljAm9EppScko6un8D1xerVkEXozfKDFDY",{"id":5734,"title":5735,"ai":5736,"body":5741,"categories":5835,"created_at":56,"date_modified":56,"description":47,"extension":57,"faq":56,"featured":58,"kicker_label":56,"meta":5836,"navigation":77,"path":5844,"published_at":5845,"question":56,"scraped_at":5845,"seo":5846,"sitemap":5847,"source_id":5848,"source_name":83,"source_type":84,"source_url":5849,"stem":5850,"tags":5851,"thumbnail_url":56,"tldr":5853,"tweet":56,"unknown_tags":5854,"__hash__":5855},"summaries\u002Fsummaries\u002F1eba2fe0c2c9915e-spatialclaw-using-code-as-an-action-interface-for-summary.md","SpatialClaw: Using Code as an Action Interface for Spatial Reasoning",{"provider":7,"model":8,"input_tokens":5737,"output_tokens":5738,"processing_time_ms":5739,"cost_usd":5740},9097,656,3371,0.00325825,{"type":14,"value":5742,"toc":5830},[5743,5747,5755,5759,5762,5765,5803,5807,5810,5813,5827],[17,5744,5746],{"id":5745},"the-problem-the-interface-bottleneck","The Problem: The Interface Bottleneck",[22,5748,5749,5750,5754],{},"Vision-Language Models (VLMs) often struggle with precise spatial reasoning, such as calculating distances between objects or understanding 3D trajectories. NVIDIA Research argues that the limitation is not necessarily the model's intelligence, but the ",[5751,5752,5753],"em",{},"action interface"," used to interact with perception tools. Traditional methods, like structured tool-calling, often lack the flexibility required for complex geometric computation.",[17,5756,5758],{"id":5757},"spatialclaw-code-as-the-action-interface","SpatialClaw: Code as the Action Interface",[22,5760,5761],{},"SpatialClaw bypasses the need for model retraining by wrapping an agent loop around a stateful Python kernel. Instead of calling predefined functions via rigid JSON schemas, the agent writes and executes Python code to manipulate perception data.",[22,5763,5764],{},"Key components include:",[5766,5767,5768,5776,5791,5797],"ul",{},[5769,5770,5771,5775],"li",{},[5772,5773,5774],"strong",{},"Stateful Kernel",": Pre-loaded with input frames and perception primitives.",[5769,5777,5778,5781,5782,5786,5787,5790],{},[5772,5779,5780],{},"Perception Primitives",": Core tools like ",[5783,5784,5785],"code",{},"tools.Reconstruct"," (using Depth Anything 3 for depth and camera geometry) and ",[5783,5788,5789],{},"tools.SAM3"," (for segmentation).",[5769,5792,5793,5796],{},[5772,5794,5795],{},"Five-Stage Loop",": The agent follows a cycle of planning, code generation, execution, feedback assembly, and final answer submission.",[5769,5798,5799,5802],{},[5772,5800,5801],{},"Safety",": A static Abstract Syntax Tree (AST) checker validates code before execution to prevent unsafe operations.",[17,5804,5806],{"id":5805},"performance-and-impact","Performance and Impact",[22,5808,5809],{},"SpatialClaw achieves a 59.9% average accuracy across 20 benchmarks, outperforming the 'SpaceTools' agent by 11.2 points. The framework is training-free, meaning it works across various backbones (such as Qwen3.5\u002F3.6 and Gemma4) without requiring fine-tuning.",[22,5811,5812],{},"Analysis shows that the performance gains are driven by:",[5766,5814,5815,5821],{},[5769,5816,5817,5820],{},[5772,5818,5819],{},"Code Composition (52.2%)",": The ability to chain multiple geometric operations.",[5769,5822,5823,5826],{},[5772,5824,5825],{},"Control Flow (19.5%)",": The ability to use loops and conditionals to refine spatial queries.",[22,5828,5829],{},"The largest performance improvements were observed in dynamic tasks (e.g., DSI-Bench and MindCube), where the agent must perform chained geometric computations across multiple frames and viewpoints.",{"title":47,"searchDepth":48,"depth":48,"links":5831},[5832,5833,5834],{"id":5745,"depth":48,"text":5746},{"id":5757,"depth":48,"text":5758},{"id":5805,"depth":48,"text":5806},[55],{"content_references":5837,"triage":5842},[5838],{"type":62,"title":5839,"author":5840,"url":5841,"context":65},"SpatialClaw: A Training-Free Agent That Treats Code as the Action Interface for Spatial Reasoning","NVIDIA Research","https:\u002F\u002Fspatialclaw.github.io\u002Fstatic\u002Fpdfs\u002Fspatialclaw.pdf",{"relevance":73,"novelty":74,"quality":73,"actionability":48,"composite":75,"reasoning":5843},"Category: AI & LLMs. The article discusses a novel framework, SpatialClaw, that enhances spatial reasoning in Vision-Language Models by using Python code as an action interface, which addresses a specific pain point in AI integration. However, while it presents interesting insights, it lacks detailed practical applications for the audience to implement directly.","\u002Fsummaries\u002F1eba2fe0c2c9915e-spatialclaw-using-code-as-an-action-interface-for-summary","2026-06-20 12:56:42",{"title":5735,"description":47},{"loc":5844},"1eba2fe0c2c9915e","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F19\u002Fnvidia-ai-introduce-spatialclaw-a-training-free-agent-that-treats-code-as-the-action-interface-for-spatial-reasoning\u002F","summaries\u002F1eba2fe0c2c9915e-spatialclaw-using-code-as-an-action-interface-for-summary",[88,5852,89,91],"python","SpatialClaw is a training-free agent framework that improves spatial reasoning in VLMs by treating Python code—rather than structured tool calls—as the primary interface for perception and geometric tasks.",[89,91],"0ggVtZqkAEm1PmGMZ_-0Lx1-69PKKVkN8nkgOhZyAlQ",{"id":5857,"title":5858,"ai":5859,"body":5865,"categories":5901,"created_at":56,"date_modified":56,"description":47,"extension":57,"faq":56,"featured":58,"kicker_label":56,"meta":5902,"navigation":77,"path":5907,"published_at":5908,"question":56,"scraped_at":5909,"seo":5910,"sitemap":5911,"source_id":5912,"source_name":5913,"source_type":84,"source_url":5914,"stem":5915,"tags":5916,"thumbnail_url":56,"tldr":5917,"tweet":56,"unknown_tags":5918,"__hash__":5919},"summaries\u002Fsummaries\u002F55543ef036faeeae-agentic-ai-requires-embedded-compliance-and-adapti-summary.md","Agentic AI Requires Embedded Compliance and Adaptive Oversight",{"provider":7,"model":5860,"input_tokens":5861,"output_tokens":5862,"processing_time_ms":5863,"cost_usd":5864},"x-ai\u002Fgrok-4.1-fast",5905,1495,15603,0.001906,{"type":14,"value":5866,"toc":5895},[5867,5871,5874,5878,5881,5885,5888,5892],[17,5868,5870],{"id":5869},"agentic-ai-shifts-governance-from-tools-to-autonomous-actors","Agentic AI Shifts Governance from Tools to Autonomous Actors",[22,5872,5873],{},"Agentic AI differs from traditional systems by independently setting goals, making decisions, and executing actions, like a customer service agent that analyzes complaints, researches policies, coordinates departments, negotiates solutions, and authorizes refunds without humans. This autonomy delivers efficiency but exposes boards to uncharted compliance and risk territories. Traditional audits and workflows fail against AI taking thousands of daily actions across jurisdictions, demanding proactive adaptation to outpace regulatory lag.",[17,5875,5877],{"id":5876},"implement-embedded-compliance-to-prevent-violations","Implement Embedded Compliance to Prevent Violations",[22,5879,5880],{},"Build regulatory rules directly into AI design via real-time monitoring that flags violations pre-action, automated checks triggering human intervention, and full audit trails capturing every decision and rationale. Track regulatory updates from governments, associations, and intelligence providers to assess impacts swiftly, ensuring adaptability in uncertain environments. This prevents non-compliance in high-velocity operations where AI acts faster than human review, maintaining robust postures amid evolving rules.",[17,5882,5884],{"id":5883},"mitigate-emergent-risks-with-systemic-frameworks","Mitigate Emergent Risks with Systemic Frameworks",[22,5886,5887],{},"Agentic AI amplifies operational, reputational, financial, and emergent risks—unpredictable behaviors from AI-business-environment interactions—like cascading decisions rippling through supply chains and partners. Counter with real-time feedback, AI analytics for monitoring, rapid response teams, and adaptive governance spanning functions. Boards gain impact by understanding interconnections, setting AI principles defining values, risk tolerance, and boundaries, then overseeing full lifecycles: data governance, model development, testing, deployment, monitoring, and retirement.",[17,5889,5891],{"id":5890},"board-actions-for-effective-oversight","Board Actions for Effective Oversight",[22,5893,5894],{},"Elevate oversight with dedicated AI expertise via board composition, advisors, or education, enabling informed scrutiny of technical risks and rewards. Institute real-time feedback loops and escalation matrices for intervention. This dynamic approach, versus static models, positions boards to lead AI transformation, avoiding struggles with ungoverned systems. Act now on feedback systems to shape deployment trajectories proactively.",{"title":47,"searchDepth":48,"depth":48,"links":5896},[5897,5898,5899,5900],{"id":5869,"depth":48,"text":5870},{"id":5876,"depth":48,"text":5877},{"id":5883,"depth":48,"text":5884},{"id":5890,"depth":48,"text":5891},[],{"content_references":5903,"triage":5904},[],{"relevance":73,"novelty":74,"quality":73,"actionability":74,"composite":5905,"reasoning":5906},3.6,"Category: AI & LLMs. The article discusses the governance challenges posed by agentic AI, which directly relates to the audience's interest in AI integration and compliance. It provides insights into implementing embedded compliance and adaptive oversight, addressing specific pain points about managing AI risks, though it lacks detailed actionable steps for immediate implementation.","\u002Fsummaries\u002F55543ef036faeeae-agentic-ai-requires-embedded-compliance-and-adapti-summary","2025-07-17 13:19:05","2026-04-14 14:31:03",{"title":5858,"description":47},{"loc":5907},"55543ef036faeeae","__oneoff__","https:\u002F\u002Fwww.nacdonline.org\u002Fall-governance\u002Fgovernance-resources\u002Fdirectorship-magazine\u002Fonline-exclusives\u002F2025\u002Fq3-2025\u002Fautonomous-artificial-intelligence-oversight\u002F","summaries\u002F55543ef036faeeae-agentic-ai-requires-embedded-compliance-and-adapti-summary",[88,89],"Boards must shift to real-time embedded compliance, systemic risk monitoring, and lifecycle governance to handle autonomous agentic AI's compliance gaps and emergent risks before regulations catch up.",[89],"5K0TtDt_59AdhEEhLeOHkjHDjxrAm-NcA94MAZ-FkqM",{"id":5921,"title":5922,"ai":5923,"body":5928,"categories":5976,"created_at":56,"date_modified":56,"description":47,"extension":57,"faq":56,"featured":58,"kicker_label":56,"meta":5977,"navigation":77,"path":5988,"published_at":5989,"question":56,"scraped_at":5989,"seo":5990,"sitemap":5991,"source_id":5992,"source_name":5993,"source_type":84,"source_url":5983,"stem":5994,"tags":5995,"thumbnail_url":56,"tldr":5997,"tweet":56,"unknown_tags":5998,"__hash__":5999},"summaries\u002Fsummaries\u002F20c0eff6a70c41ac-ai-modelnet-a-networked-paradigm-for-collaborative-summary.md","AI-ModelNet: A Networked Paradigm for Collaborative AI",{"provider":7,"model":8,"input_tokens":5924,"output_tokens":5925,"processing_time_ms":5926,"cost_usd":5927},6866,504,5661,0.0024725,{"type":14,"value":5929,"toc":5971},[5930,5934,5937,5941,5944,5964,5968],[17,5931,5933],{"id":5932},"the-shift-toward-model-interconnection","The Shift Toward Model Interconnection",[22,5935,5936],{},"As the industry moves away from monolithic, resource-heavy models toward lightweight, private, and domain-specific alternatives, a new bottleneck has emerged: the lack of effective interaction between these heterogeneous systems. The authors propose \"AI-ModelNet,\" a conceptual framework inspired by the architecture of the Internet, designed to transform isolated models into a collaborative, networked ecosystem.",[17,5938,5940],{"id":5939},"the-ai-modelnet-architecture","The AI-ModelNet Architecture",[22,5942,5943],{},"AI-ModelNet is defined as a hierarchical system that facilitates three core functions: interconnection, capability sharing, and collaborative reasoning. By establishing standardized pathways between models, the framework allows for:",[5766,5945,5946,5952,5958],{},[5769,5947,5948,5951],{},[5772,5949,5950],{},"Resource Efficiency:"," Reducing the need for massive, general-purpose models by leveraging specialized models for specific tasks.",[5769,5953,5954,5957],{},[5772,5955,5956],{},"Collaborative Reasoning:"," Enabling multiple models to exchange information and combine their unique strengths to solve complex problems that a single model might struggle to address.",[5769,5959,5960,5963],{},[5772,5961,5962],{},"Systemic Interoperability:"," Creating a common language or protocol for models to discover, request, and utilize each other's capabilities, similar to how devices communicate over the Internet.",[17,5965,5967],{"id":5966},"validation-and-future-outlook","Validation and Future Outlook",[22,5969,5970],{},"The authors validate the feasibility of this paradigm through a prototype implementation and various application scenarios. The research suggests that the future of AI development lies not in building larger individual models, but in building better networks of models. Key research directions include developing standardized communication protocols, addressing security and privacy in model-to-model interactions, and optimizing the latency of collaborative reasoning tasks.",{"title":47,"searchDepth":48,"depth":48,"links":5972},[5973,5974,5975],{"id":5932,"depth":48,"text":5933},{"id":5939,"depth":48,"text":5940},{"id":5966,"depth":48,"text":5967},[55],{"content_references":5978,"triage":5985},[5979],{"type":62,"title":5980,"author":5981,"publisher":5982,"url":5983,"context":5984},"AI-Model Network: Concept, Current State and Future","Li Zhetao et al.","Journal of Computer Research and Development","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.27382","reviewed",{"relevance":73,"novelty":73,"quality":73,"actionability":74,"composite":5986,"reasoning":5987},3.8,"Category: AI & LLMs. The article discusses a new framework for collaborative AI model interaction, addressing a specific pain point of interconnection among heterogeneous models. It presents novel insights into a networked approach to AI, which could inspire practical applications, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F20c0eff6a70c41ac-ai-modelnet-a-networked-paradigm-for-collaborative-summary","2026-06-29 12:57:28",{"title":5922,"description":47},{"loc":5988},"20c0eff6a70c41ac","arXiv cs.AI","summaries\u002F20c0eff6a70c41ac-ai-modelnet-a-networked-paradigm-for-collaborative-summary",[88,89,5996],"architecture","AI-ModelNet proposes a hierarchical, internet-inspired architecture to enable interconnection, capability sharing, and collaborative reasoning among heterogeneous, domain-specific models.",[89,5996],"dZ7y7YRrEpCOScLW1ZayA8mdUYTAJlLUTwbzVivlUBk"]