[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-980bbd430e1f258f-measuring-cross-task-behavioral-consistency-in-llm-summary":3,"summaries-facets-categories":73,"summary-related-980bbd430e1f258f-measuring-cross-task-behavioral-consistency-in-llm-summary":6541},{"id":4,"title":5,"ai":6,"body":13,"categories":38,"created_at":40,"date_modified":40,"description":33,"extension":41,"faq":40,"featured":42,"kicker_label":40,"meta":43,"navigation":56,"path":57,"published_at":58,"question":40,"scraped_at":58,"seo":59,"sitemap":60,"source_id":61,"source_name":62,"source_type":63,"source_url":48,"stem":64,"tags":65,"thumbnail_url":40,"tldr":70,"tweet":40,"unknown_tags":71,"__hash__":72},"summaries\u002Fsummaries\u002F980bbd430e1f258f-measuring-cross-task-behavioral-consistency-in-llm-summary.md","Measuring Cross-Task Behavioral Consistency in LLM Agents",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",3983,392,2347,0.00158375,{"type":14,"value":15,"toc":32},"minimark",[16,21,25,29],[17,18,20],"h2",{"id":19},"quantifying-agent-reliability","Quantifying Agent Reliability",[22,23,24],"p",{},"As language model agents are increasingly deployed for multi-step, autonomous workflows, their reliability becomes a critical engineering concern. This paper proposes a formal framework for measuring 'cross-task behavioral consistency.' The core argument is that an agent's performance on a single benchmark is insufficient to predict its reliability in real-world applications where the agent must navigate varied, non-linear task environments. The authors define consistency not merely as output accuracy, but as the stability of an agent's decision-making logic and operational patterns when faced with functionally similar but contextually distinct challenges.",[17,26,28],{"id":27},"the-challenge-of-behavioral-drift","The Challenge of Behavioral Drift",[22,30,31],{},"The research highlights that LLM agents often exhibit 'behavioral drift'—where the underlying reasoning process changes significantly even when the task objective remains constant. By mapping agent trajectories across different task domains, the authors identify that models frequently rely on brittle heuristics rather than robust internal representations. This lack of consistency poses a significant risk for production systems, as it makes agent behavior difficult to debug, audit, or predict under edge-case conditions. The framework provides a methodology for developers to stress-test agents by measuring the variance in their action sequences, helping to distinguish between models that 'solve' a task through robust reasoning versus those that succeed through lucky prompt-alignment or memorization.",{"title":33,"searchDepth":34,"depth":34,"links":35},"",2,[36,37],{"id":19,"depth":34,"text":20},{"id":27,"depth":34,"text":28},[39],"AI & LLMs",null,"md",false,{"content_references":44,"triage":50},[45],{"type":46,"title":47,"url":48,"context":49},"paper","Measuring Cross-Task Behavioral Consistency in Language Model Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13598","cited",{"relevance":51,"novelty":52,"quality":52,"actionability":53,"composite":54,"reasoning":55},5,4,3,4.15,"Category: AI & LLMs. The article provides a framework for measuring behavioral consistency in LLM agents, addressing a critical concern for developers deploying AI in production. It introduces new insights into the challenges of behavioral drift, which is highly relevant for product builders looking to ensure reliability in AI-powered features.",true,"\u002Fsummaries\u002F980bbd430e1f258f-measuring-cross-task-behavioral-consistency-in-llm-summary","2026-08-18 03:10:23",{"title":5,"description":33},{"loc":57},"980bbd430e1f258f","arXiv cs.AI","article","summaries\u002F980bbd430e1f258f-measuring-cross-task-behavioral-consistency-in-llm-summary",[66,67,68,69],"agents","research","machine-learning","ai-llms","This research introduces a framework to quantify behavioral consistency in AI agents across diverse tasks, addressing the challenge of unpredictable model behavior in production environments.",[69],"NUHvELcll5axbXembKNVmhtg2EmIT9DBQ0_XIS4LIew",[74,76,79,81,84,86,89,92,94,96,98,101,103,105,107,109,112,114,116,118,120,123,126,128,130,132,134,136,138,140,142,144,146,148,150,152,154,156,158,160,162,164,166,169,171,173,175,177,179,181,183,185,187,189,191,193,195,198,200,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,232,235,237,239,241,243,245,247,249,251,253,255,257,259,261,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,327,329,331,333,335,337,339,341,343,345,347,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,383,385,387,389,391,393,395,397,399,401,403,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,461,463,465,468,470,472,474,476,478,480,482,484,486,488,490,492,494,497,499,501,503,505,507,509,511,513,515,517,519,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,799,801,803,805,807,810,812,814,816,818,820,822,824,826,828,830,832,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523,6525,6527,6529,6531,6533,6535,6537,6539],{"categories":75},[39],{"categories":77},[78],"Developer Productivity",{"categories":80},[39],{"categories":82},[83],"Business & SaaS",{"categories":85},[39],{"categories":87},[88],"AI Automation",{"categories":90},[91],"Product Strategy",{"categories":93},[39],{"categories":95},[78],{"categories":97},[88],{"categories":99},[100],"Software Engineering",{"categories":102},[39],{"categories":104},[83],{"categories":106},[],{"categories":108},[39],{"categories":110},[111],"Inference & Serving",{"categories":113},[39],{"categories":115},[39],{"categories":117},[88],{"categories":119},[],{"categories":121},[122],"AI News & Trends",{"categories":124},[125],"Data Science & Visualization",{"categories":127},[88],{"categories":129},[39],{"categories":131},[39],{"categories":133},[83],{"categories":135},[78],{"categories":137},[39],{"categories":139},[88],{"categories":141},[122],{"categories":143},[88],{"categories":145},[88],{"categories":147},[39],{"categories":149},[88],{"categories":151},[39],{"categories":153},[39],{"categories":155},[39],{"categories":157},[122],{"categories":159},[39],{"categories":161},[39],{"categories":163},[39],{"categories":165},[],{"categories":167},[168],"Design & Frontend",{"categories":170},[125],{"categories":172},[122],{"categories":174},[39],{"categories":176},[39],{"categories":178},[39],{"categories":180},[],{"categories":182},[39],{"categories":184},[39],{"categories":186},[88],{"categories":188},[100],{"categories":190},[39],{"categories":192},[88],{"categories":194},[39],{"categories":196},[197],"Marketing & Growth",{"categories":199},[168],{"categories":201},[39],{"categories":203},[88],{"categories":205},[39],{"categories":207},[100],{"categories":209},[],{"categories":211},[],{"categories":213},[168],{"categories":215},[39],{"categories":217},[88],{"categories":219},[78],{"categories":221},[100],{"categories":223},[88],{"categories":225},[168],{"categories":227},[91],{"categories":229},[39],{"categories":231},[100],{"categories":233},[234],"DevOps & Cloud",{"categories":236},[88],{"categories":238},[91],{"categories":240},[122],{"categories":242},[39],{"categories":244},[],{"categories":246},[39],{"categories":248},[39],{"categories":250},[],{"categories":252},[88],{"categories":254},[100],{"categories":256},[],{"categories":258},[100],{"categories":260},[39],{"categories":262},[263],"Governance & Standards",{"categories":265},[83],{"categories":267},[],{"categories":269},[],{"categories":271},[39],{"categories":273},[39],{"categories":275},[88],{"categories":277},[39],{"categories":279},[39],{"categories":281},[88],{"categories":283},[39],{"categories":285},[39],{"categories":287},[39],{"categories":289},[],{"categories":291},[100],{"categories":293},[],{"categories":295},[],{"categories":297},[39],{"categories":299},[100],{"categories":301},[],{"categories":303},[100],{"categories":305},[39],{"categories":307},[39],{"categories":309},[197],{"categories":311},[39],{"categories":313},[39],{"categories":315},[168],{"categories":317},[168],{"categories":319},[39],{"categories":321},[100],{"categories":323},[88],{"categories":325},[326],"GovTech & Public-Sector Adoption",{"categories":328},[100],{"categories":330},[39],{"categories":332},[39],{"categories":334},[39],{"categories":336},[88],{"categories":338},[88],{"categories":340},[125],{"categories":342},[39],{"categories":344},[122],{"categories":346},[88],{"categories":348},[349],"Legal AI Tools",{"categories":351},[39],{"categories":353},[88],{"categories":355},[39],{"categories":357},[197],{"categories":359},[88],{"categories":361},[91],{"categories":363},[39],{"categories":365},[100],{"categories":367},[326],{"categories":369},[],{"categories":371},[88],{"categories":373},[],{"categories":375},[83],{"categories":377},[88],{"categories":379},[88],{"categories":381},[382],"RAG & Retrieval",{"categories":384},[83],{"categories":386},[39],{"categories":388},[100],{"categories":390},[100],{"categories":392},[234],{"categories":394},[168],{"categories":396},[88],{"categories":398},[39],{"categories":400},[39],{"categories":402},[],{"categories":404},[405],"Agents & Orchestration",{"categories":407},[100],{"categories":409},[39],{"categories":411},[],{"categories":413},[88],{"categories":415},[83],{"categories":417},[],{"categories":419},[39],{"categories":421},[],{"categories":423},[39],{"categories":425},[78],{"categories":427},[100],{"categories":429},[83],{"categories":431},[39],{"categories":433},[88],{"categories":435},[39],{"categories":437},[122],{"categories":439},[39],{"categories":441},[],{"categories":443},[39],{"categories":445},[],{"categories":447},[100],{"categories":449},[39],{"categories":451},[125],{"categories":453},[],{"categories":455},[39],{"categories":457},[168],{"categories":459},[460],"Models & Frontier Labs",{"categories":462},[],{"categories":464},[168],{"categories":466},[467],"Regulation & Governance of AI",{"categories":469},[88],{"categories":471},[],{"categories":473},[39],{"categories":475},[39],{"categories":477},[88],{"categories":479},[122],{"categories":481},[83],{"categories":483},[39],{"categories":485},[],{"categories":487},[100],{"categories":489},[88],{"categories":491},[39],{"categories":493},[91],{"categories":495},[496],"AI Policy & Regulation",{"categories":498},[],{"categories":500},[39],{"categories":502},[88],{"categories":504},[91],{"categories":506},[88],{"categories":508},[39],{"categories":510},[39],{"categories":512},[39],{"categories":514},[88],{"categories":516},[],{"categories":518},[125],{"categories":520},[521],"Evals & Reliability",{"categories":523},[39],{"categories":525},[39],{"categories":527},[],{"categories":529},[78],{"categories":531},[326],{"categories":533},[496],{"categories":535},[39],{"categories":537},[83],{"categories":539},[39],{"categories":541},[88],{"categories":543},[39],{"categories":545},[88],{"categories":547},[405],{"categories":549},[39],{"categories":551},[100],{"categories":553},[39],{"categories":555},[],{"categories":557},[],{"categories":559},[39],{"categories":561},[326],{"categories":563},[39],{"categories":565},[39],{"categories":567},[39],{"categories":569},[],{"categories":571},[168],{"categories":573},[],{"categories":575},[39],{"categories":577},[],{"categories":579},[88],{"categories":581},[39],{"categories":583},[168],{"categories":585},[],{"categories":587},[39],{"categories":589},[39],{"categories":591},[125],{"categories":593},[88],{"categories":595},[39],{"categories":597},[83],{"categories":599},[88],{"categories":601},[39],{"categories":603},[39],{"categories":605},[100],{"categories":607},[168],{"categories":609},[39],{"categories":611},[88],{"categories":613},[],{"categories":615},[100],{"categories":617},[88],{"categories":619},[125],{"categories":621},[],{"categories":623},[39],{"categories":625},[122],{"categories":627},[39],{"categories":629},[],{"categories":631},[39],{"categories":633},[39],{"categories":635},[39],{"categories":637},[83,197],{"categories":639},[],{"categories":641},[100],{"categories":643},[39],{"categories":645},[39],{"categories":647},[88],{"categories":649},[39],{"categories":651},[],{"categories":653},[],{"categories":655},[39],{"categories":657},[168],{"categories":659},[39],{"categories":661},[],{"categories":663},[39],{"categories":665},[234],{"categories":667},[],{"categories":669},[88],{"categories":671},[122],{"categories":673},[39],{"categories":675},[39],{"categories":677},[168],{"categories":679},[],{"categories":681},[122],{"categories":683},[39],{"categories":685},[111],{"categories":687},[39],{"categories":689},[39],{"categories":691},[88],{"categories":693},[122],{"categories":695},[460],{"categories":697},[39],{"categories":699},[197],{"categories":701},[],{"categories":703},[88],{"categories":705},[83],{"categories":707},[100],{"categories":709},[39],{"categories":711},[88],{"categories":713},[],{"categories":715},[39,234],{"categories":717},[39],{"categories":719},[39],{"categories":721},[39],{"categories":723},[88],{"categories":725},[39,100],{"categories":727},[125],{"categories":729},[39],{"categories":731},[39],{"categories":733},[100],{"categories":735},[39],{"categories":737},[88],{"categories":739},[496],{"categories":741},[197],{"categories":743},[39],{"categories":745},[88],{"categories":747},[39],{"categories":749},[39],{"categories":751},[88],{"categories":753},[],{"categories":755},[88],{"categories":757},[39],{"categories":759},[39],{"categories":761},[88],{"categories":763},[39],{"categories":765},[39,83],{"categories":767},[39],{"categories":769},[83],{"categories":771},[],{"categories":773},[168],{"categories":775},[168],{"categories":777},[39],{"categories":779},[],{"categories":781},[],{"categories":783},[39],{"categories":785},[122],{"categories":787},[],{"categories":789},[78],{"categories":791},[39],{"categories":793},[100],{"categories":795},[39],{"categories":797},[798],"Generative UI & Design-to-Code",{"categories":800},[39],{"categories":802},[39],{"categories":804},[168],{"categories":806},[39],{"categories":808},[809],"Algorithmic Accountability",{"categories":811},[88],{"categories":813},[100],{"categories":815},[122],{"categories":817},[168],{"categories":819},[39],{"categories":821},[],{"categories":823},[91],{"categories":825},[39],{"categories":827},[39],{"categories":829},[39],{"categories":831},[88],{"categories":833},[834],"MLOps & Infrastructure",{"categories":836},[39],{"categories":838},[39],{"categories":840},[39],{"categories":842},[39],{"categories":844},[39],{"categories":846},[122],{"categories":848},[91],{"categories":850},[78],{"categories":852},[39],{"categories":854},[88],{"categories":856},[234],{"categories":858},[39],{"categories":860},[83],{"categories":862},[39],{"categories":864},[168],{"categories":866},[39],{"categories":868},[39],{"categories":870},[88],{"categories":872},[],{"categories":874},[],{"categories":876},[39],{"categories":878},[111],{"categories":880},[168],{"categories":882},[122],{"categories":884},[125],{"categories":886},[],{"categories":888},[39],{"categories":890},[39],{"categories":892},[83],{"categories":894},[88],{"categories":896},[39],{"categories":898},[39],{"categories":900},[39],{"categories":902},[39],{"categories":904},[122],{"categories":906},[111],{"categories":908},[39],{"categories":910},[168],{"categories":912},[39],{"categories":914},[],{"categories":916},[88],{"categories":918},[100],{"categories":920},[],{"categories":922},[39],{"categories":924},[39],{"categories":926},[88],{"categories":928},[100],{"categories":930},[39],{"categories":932},[125],{"categories":934},[],{"categories":936},[39],{"categories":938},[],{"categories":940},[39],{"categories":942},[],{"categories":944},[39],{"categories":946},[91],{"categories":948},[83],{"categories":950},[88],{"categories":952},[88],{"categories":954},[],{"categories":956},[78],{"categories":958},[39],{"categories":960},[39],{"categories":962},[83],{"categories":964},[122],{"categories":966},[78],{"categories":968},[],{"categories":970},[39],{"categories":972},[],{"categories":974},[],{"categories":976},[122],{"categories":978},[122],{"categories":980},[],{"categories":982},[405],{"categories":984},[39],{"categories":986},[168],{"categories":988},[100],{"categories":990},[],{"categories":992},[349],{"categories":994},[88],{"categories":996},[83],{"categories":998},[],{"categories":1000},[],{"categories":1002},[78],{"categories":1004},[125],{"categories":1006},[],{"categories":1008},[197],{"categories":1010},[88],{"categories":1012},[83],{"categories":1014},[88],{"categories":1016},[83],{"categories":1018},[39],{"categories":1020},[100],{"categories":1022},[],{"categories":1024},[111],{"categories":1026},[91],{"categories":1028},[39],{"categories":1030},[168],{"categories":1032},[100],{"categories":1034},[83],{"categories":1036},[39],{"categories":1038},[88],{"categories":1040},[83],{"categories":1042},[39],{"categories":1044},[39],{"categories":1046},[39],{"categories":1048},[39],{"categories":1050},[39],{"categories":1052},[],{"categories":1054},[],{"categories":1056},[100],{"categories":1058},[125],{"categories":1060},[91],{"categories":1062},[39],{"categories":1064},[88],{"categories":1066},[100],{"categories":1068},[100],{"categories":1070},[39],{"categories":1072},[],{"categories":1074},[122],{"categories":1076},[91],{"categories":1078},[100],{"categories":1080},[39],{"categories":1082},[521],{"categories":1084},[234],{"categories":1086},[],{"categories":1088},[88],{"categories":1090},[39],{"categories":1092},[],{"categories":1094},[78],{"categories":1096},[],{"categories":1098},[39],{"categories":1100},[39],{"categories":1102},[39],{"categories":1104},[168],{"categories":1106},[197],{"categories":1108},[39],{"categories":1110},[100],{"categories":1112},[39],{"categories":1114},[88],{"categories":1116},[],{"categories":1118},[100],{"categories":1120},[39],{"categories":1122},[78],{"categories":1124},[],{"categories":1126},[83],{"categories":1128},[39],{"categories":1130},[122],{"categories":1132},[39,234],{"categories":1134},[39],{"categories":1136},[1137],"Design Systems for AI",{"categories":1139},[39],{"categories":1141},[39],{"categories":1143},[122],{"categories":1145},[39],{"categories":1147},[39],{"categories":1149},[39],{"categories":1151},[83],{"categories":1153},[39],{"categories":1155},[39],{"categories":1157},[39],{"categories":1159},[],{"categories":1161},[39],{"categories":1163},[39],{"categories":1165},[83],{"categories":1167},[39],{"categories":1169},[],{"categories":1171},[88],{"categories":1173},[100],{"categories":1175},[122],{"categories":1177},[100],{"categories":1179},[39],{"categories":1181},[168],{"categories":1183},[122],{"categories":1185},[125],{"categories":1187},[39],{"categories":1189},[39],{"categories":1191},[88],{"categories":1193},[78],{"categories":1195},[496],{"categories":1197},[39],{"categories":1199},[88],{"categories":1201},[39],{"categories":1203},[100],{"categories":1205},[100],{"categories":1207},[],{"categories":1209},[],{"categories":1211},[39],{"categories":1213},[88],{"categories":1215},[91],{"categories":1217},[],{"categories":1219},[83],{"categories":1221},[39],{"categories":1223},[],{"categories":1225},[168],{"categories":1227},[88],{"categories":1229},[100],{"categories":1231},[168],{"categories":1233},[39],{"categories":1235},[39],{"categories":1237},[168],{"categories":1239},[],{"categories":1241},[],{"categories":1243},[122],{"categories":1245},[88],{"categories":1247},[88],{"categories":1249},[39],{"categories":1251},[39],{"categories":1253},[39],{"categories":1255},[39],{"categories":1257},[83],{"categories":1259},[39],{"categories":1261},[39],{"categories":1263},[],{"categories":1265},[100],{"categories":1267},[100],{"categories":1269},[39],{"categories":1271},[100],{"categories":1273},[83],{"categories":1275},[],{"categories":1277},[39],{"categories":1279},[39],{"categories":1281},[39],{"categories":1283},[39],{"categories":1285},[39],{"categories":1287},[88],{"categories":1289},[78],{"categories":1291},[83],{"categories":1293},[39],{"categories":1295},[88],{"categories":1297},[122],{"categories":1299},[88],{"categories":1301},[111],{"categories":1303},[197],{"categories":1305},[39],{"categories":1307},[88],{"categories":1309},[39],{"categories":1311},[39],{"categories":1313},[],{"categories":1315},[168],{"categories":1317},[],{"categories":1319},[39],{"categories":1321},[39],{"categories":1323},[],{"categories":1325},[100],{"categories":1327},[83],{"categories":1329},[1330],"Visual & Generative Media",{"categories":1332},[88],{"categories":1334},[],{"categories":1336},[39],{"categories":1338},[39],{"categories":1340},[100],{"categories":1342},[234],{"categories":1344},[39],{"categories":1346},[125],{"categories":1348},[496],{"categories":1350},[100],{"categories":1352},[197],{"categories":1354},[39],{"categories":1356},[168],{"categories":1358},[39],{"categories":1360},[39],{"categories":1362},[100],{"categories":1364},[88],{"categories":1366},[39],{"categories":1368},[],{"categories":1370},[],{"categories":1372},[88],{"categories":1374},[100],{"categories":1376},[78],{"categories":1378},[88],{"categories":1380},[460],{"categories":1382},[39],{"categories":1384},[91],{"categories":1386},[39],{"categories":1388},[83],{"categories":1390},[],{"categories":1392},[39],{"categories":1394},[91],{"categories":1396},[39],{"categories":1398},[39],{"categories":1400},[39],{"categories":1402},[91],{"categories":1404},[39],{"categories":1406},[39],{"categories":1408},[197],{"categories":1410},[39],{"categories":1412},[405],{"categories":1414},[39],{"categories":1416},[88],{"categories":1418},[39],{"categories":1420},[39],{"categories":1422},[39],{"categories":1424},[39],{"categories":1426},[168],{"categories":1428},[88],{"categories":1430},[],{"categories":1432},[88],{"categories":1434},[],{"categories":1436},[234],{"categories":1438},[100],{"categories":1440},[],{"categories":1442},[460],{"categories":1444},[39],{"categories":1446},[88],{"categories":1448},[39],{"categories":1450},[168,39],{"categories":1452},[78],{"categories":1454},[39],{"categories":1456},[168],{"categories":1458},[],{"categories":1460},[39],{"categories":1462},[78],{"categories":1464},[1465],"Medical Imaging & Radiology",{"categories":1467},[39],{"categories":1469},[168],{"categories":1471},[88],{"categories":1473},[100],{"categories":1475},[],{"categories":1477},[39],{"categories":1479},[39],{"categories":1481},[39],{"categories":1483},[],{"categories":1485},[],{"categories":1487},[39],{"categories":1489},[405],{"categories":1491},[39],{"categories":1493},[78],{"categories":1495},[39],{"categories":1497},[39],{"categories":1499},[],{"categories":1501},[88],{"categories":1503},[39],{"categories":1505},[91],{"categories":1507},[100],{"categories":1509},[39],{"categories":1511},[405],{"categories":1513},[39],{"categories":1515},[88],{"categories":1517},[39],{"categories":1519},[39],{"categories":1521},[39],{"categories":1523},[168],{"categories":1525},[88],{"categories":1527},[234],{"categories":1529},[168],{"categories":1531},[83],{"categories":1533},[88],{"categories":1535},[122],{"categories":1537},[39],{"categories":1539},[39],{"categories":1541},[91],{"categories":1543},[39],{"categories":1545},[39],{"categories":1547},[39],{"categories":1549},[88],{"categories":1551},[39],{"categories":1553},[100],{"categories":1555},[100],{"categories":1557},[39],{"categories":1559},[91],{"categories":1561},[],{"categories":1563},[122],{"categories":1565},[],{"categories":1567},[91],{"categories":1569},[88],{"categories":1571},[39],{"categories":1573},[88],{"categories":1575},[1137],{"categories":1577},[1137],{"categories":1579},[168],{"categories":1581},[39],{"categories":1583},[39],{"categories":1585},[88],{"categories":1587},[100],{"categories":1589},[168],{"categories":1591},[88],{"categories":1593},[122],{"categories":1595},[],{"categories":1597},[39],{"categories":1599},[],{"categories":1601},[39],{"categories":1603},[39],{"categories":1605},[39],{"categories":1607},[39],{"categories":1609},[88],{"categories":1611},[1612],"Contract Review & E-Discovery",{"categories":1614},[39],{"categories":1616},[168],{"categories":1618},[39],{"categories":1620},[78],{"categories":1622},[39],{"categories":1624},[122],{"categories":1626},[39],{"categories":1628},[39],{"categories":1630},[197],{"categories":1632},[100],{"categories":1634},[39],{"categories":1636},[39],{"categories":1638},[88],{"categories":1640},[88],{"categories":1642},[809],{"categories":1644},[39],{"categories":1646},[39],{"categories":1648},[88],{"categories":1650},[88],{"categories":1652},[39],{"categories":1654},[39],{"categories":1656},[88],{"categories":1658},[39],{"categories":1660},[39],{"categories":1662},[405],{"categories":1664},[382],{"categories":1666},[39],{"categories":1668},[88],{"categories":1670},[39],{"categories":1672},[1673],"Law-Firm Practice & Adoption",{"categories":1675},[39],{"categories":1677},[88],{"categories":1679},[168],{"categories":1681},[39],{"categories":1683},[39],{"categories":1685},[39],{"categories":1687},[],{"categories":1689},[],{"categories":1691},[100],{"categories":1693},[39],{"categories":1695},[],{"categories":1697},[88],{"categories":1699},[78],{"categories":1701},[234],{"categories":1703},[39],{"categories":1705},[],{"categories":1707},[78],{"categories":1709},[83],{"categories":1711},[39],{"categories":1713},[197],{"categories":1715},[],{"categories":1717},[83],{"categories":1719},[83],{"categories":1721},[],{"categories":1723},[39],{"categories":1725},[91],{"categories":1727},[39],{"categories":1729},[100],{"categories":1731},[],{"categories":1733},[],{"categories":1735},[],{"categories":1737},[],{"categories":1739},[39],{"categories":1741},[88],{"categories":1743},[234],{"categories":1745},[39],{"categories":1747},[78],{"categories":1749},[100],{"categories":1751},[39],{"categories":1753},[39],{"categories":1755},[100],{"categories":1757},[91],{"categories":1759},[39],{"categories":1761},[39],{"categories":1763},[39],{"categories":1765},[834],{"categories":1767},[39],{"categories":1769},[39],{"categories":1771},[197],{"categories":1773},[100],{"categories":1775},[83],{"categories":1777},[39],{"categories":1779},[39],{"categories":1781},[168],{"categories":1783},[39],{"categories":1785},[39],{"categories":1787},[39],{"categories":1789},[39],{"categories":1791},[88],{"categories":1793},[39,78],{"categories":1795},[405],{"categories":1797},[39],{"categories":1799},[39],{"categories":1801},[100],{"categories":1803},[100],{"categories":1805},[168],{"categories":1807},[88],{"categories":1809},[100],{"categories":1811},[39],{"categories":1813},[39],{"categories":1815},[],{"categories":1817},[],{"categories":1819},[39],{"categories":1821},[88],{"categories":1823},[],{"categories":1825},[39],{"categories":1827},[100],{"categories":1829},[125],{"categories":1831},[122],{"categories":1833},[168],{"categories":1835},[39],{"categories":1837},[39],{"categories":1839},[100],{"categories":1841},[],{"categories":1843},[88],{"categories":1845},[39],{"categories":1847},[39],{"categories":1849},[39],{"categories":1851},[39],{"categories":1853},[],{"categories":1855},[88],{"categories":1857},[39],{"categories":1859},[39],{"categories":1861},[],{"categories":1863},[88],{"categories":1865},[39],{"categories":1867},[39],{"categories":1869},[83],{"categories":1871},[39],{"categories":1873},[39],{"categories":1875},[],{"categories":1877},[78],{"categories":1879},[39],{"categories":1881},[39],{"categories":1883},[168],{"categories":1885},[39],{"categories":1887},[100],{"categories":1889},[39],{"categories":1891},[78],{"categories":1893},[39],{"categories":1895},[100],{"categories":1897},[197],{"categories":1899},[88],{"categories":1901},[88],{"categories":1903},[39],{"categories":1905},[39],{"categories":1907},[39,168],{"categories":1909},[39],{"categories":1911},[88],{"categories":1913},[122],{"categories":1915},[39],{"categories":1917},[122],{"categories":1919},[88],{"categories":1921},[168],{"categories":1923},[39],{"categories":1925},[],{"categories":1927},[100],{"categories":1929},[234],{"categories":1931},[168],{"categories":1933},[100],{"categories":1935},[39],{"categories":1937},[91],{"categories":1939},[39],{"categories":1941},[39],{"categories":1943},[88],{"categories":1945},[],{"categories":1947},[],{"categories":1949},[39],{"categories":1951},[],{"categories":1953},[],{"categories":1955},[91],{"categories":1957},[100],{"categories":1959},[39],{"categories":1961},[88],{"categories":1963},[88],{"categories":1965},[83],{"categories":1967},[88],{"categories":1969},[234],{"categories":1971},[39],{"categories":1973},[39],{"categories":1975},[39],{"categories":1977},[111],{"categories":1979},[39],{"categories":1981},[39],{"categories":1983},[100],{"categories":1985},[88],{"categories":1987},[39],{"categories":1989},[39],{"categories":1991},[349],{"categories":1993},[809],{"categories":1995},[],{"categories":1997},[168],{"categories":1999},[1673],{"categories":2001},[100],{"categories":2003},[],{"categories":2005},[],{"categories":2007},[88],{"categories":2009},[],{"categories":2011},[],{"categories":2013},[39],{"categories":2015},[197],{"categories":2017},[39],{"categories":2019},[197],{"categories":2021},[88],{"categories":2023},[39],{"categories":2025},[100],{"categories":2027},[91],{"categories":2029},[],{"categories":2031},[39],{"categories":2033},[39],{"categories":2035},[100],{"categories":2037},[1612],{"categories":2039},[168],{"categories":2041},[168],{"categories":2043},[39],{"categories":2045},[88],{"categories":2047},[78],{"categories":2049},[39],{"categories":2051},[39],{"categories":2053},[39],{"categories":2055},[168],{"categories":2057},[168],{"categories":2059},[88],{"categories":2061},[88],{"categories":2063},[88],{"categories":2065},[39],{"categories":2067},[39],{"categories":2069},[],{"categories":2071},[39],{"categories":2073},[],{"categories":2075},[2076],"Interaction & Product Design",{"categories":2078},[39],{"categories":2080},[88],{"categories":2082},[100],{"categories":2084},[263],{"categories":2086},[122],{"categories":2088},[100],{"categories":2090},[39],{"categories":2092},[39],{"categories":2094},[100],{"categories":2096},[78],{"categories":2098},[88],{"categories":2100},[39],{"categories":2102},[],{"categories":2104},[88],{"categories":2106},[88],{"categories":2108},[],{"categories":2110},[100],{"categories":2112},[39],{"categories":2114},[78],{"categories":2116},[2076],{"categories":2118},[39],{"categories":2120},[78],{"categories":2122},[78],{"categories":2124},[],{"categories":2126},[88],{"categories":2128},[100],{"categories":2130},[],{"categories":2132},[88],{"categories":2134},[122],{"categories":2136},[39],{"categories":2138},[88],{"categories":2140},[39],{"categories":2142},[88],{"categories":2144},[39],{"categories":2146},[39],{"categories":2148},[122],{"categories":2150},[125],{"categories":2152},[39],{"categories":2154},[91],{"categories":2156},[100],{"categories":2158},[2159],"Coding Agents & Dev Productivity",{"categories":2161},[122],{"categories":2163},[168],{"categories":2165},[39],{"categories":2167},[39],{"categories":2169},[],{"categories":2171},[39],{"categories":2173},[809],{"categories":2175},[],{"categories":2177},[39],{"categories":2179},[234],{"categories":2181},[39],{"categories":2183},[122],{"categories":2185},[],{"categories":2187},[],{"categories":2189},[39],{"categories":2191},[],{"categories":2193},[88],{"categories":2195},[39],{"categories":2197},[],{"categories":2199},[100],{"categories":2201},[100],{"categories":2203},[39],{"categories":2205},[125],{"categories":2207},[],{"categories":2209},[39],{"categories":2211},[39],{"categories":2213},[39],{"categories":2215},[125],{"categories":2217},[100],{"categories":2219},[88],{"categories":2221},[],{"categories":2223},[],{"categories":2225},[39],{"categories":2227},[39],{"categories":2229},[88],{"categories":2231},[88],{"categories":2233},[326],{"categories":2235},[100],{"categories":2237},[100],{"categories":2239},[88],{"categories":2241},[122],{"categories":2243},[122],{"categories":2245},[88],{"categories":2247},[88],{"categories":2249},[39],{"categories":2251},[78],{"categories":2253},[2076],{"categories":2255},[39,234],{"categories":2257},[125],{"categories":2259},[],{"categories":2261},[168],{"categories":2263},[100],{"categories":2265},[78],{"categories":2267},[39],{"categories":2269},[88],{"categories":2271},[2272],"The Designer's Role & Craft",{"categories":2274},[168],{"categories":2276},[],{"categories":2278},[88],{"categories":2280},[39],{"categories":2282},[88],{"categories":2284},[88],{"categories":2286},[39],{"categories":2288},[197],{"categories":2290},[39],{"categories":2292},[100],{"categories":2294},[39],{"categories":2296},[168],{"categories":2298},[39],{"categories":2300},[],{"categories":2302},[88],{"categories":2304},[168],{"categories":2306},[39],{"categories":2308},[39],{"categories":2310},[39],{"categories":2312},[2313],"AI UX Patterns",{"categories":2315},[88],{"categories":2317},[88],{"categories":2319},[88],{"categories":2321},[88],{"categories":2323},[197],{"categories":2325},[125],{"categories":2327},[39],{"categories":2329},[88],{"categories":2331},[39],{"categories":2333},[1137],{"categories":2335},[],{"categories":2337},[197],{"categories":2339},[88],{"categories":2341},[122],{"categories":2343},[100],{"categories":2345},[39],{"categories":2347},[88],{"categories":2349},[],{"categories":2351},[],{"categories":2353},[39],{"categories":2355},[88],{"categories":2357},[39],{"categories":2359},[88],{"categories":2361},[326],{"categories":2363},[168],{"categories":2365},[39],{"categories":2367},[122],{"categories":2369},[100],{"categories":2371},[39],{"categories":2373},[88],{"categories":2375},[88],{"categories":2377},[],{"categories":2379},[39],{"categories":2381},[],{"categories":2383},[],{"categories":2385},[39],{"categories":2387},[39],{"categories":2389},[39],{"categories":2391},[88],{"categories":2393},[100],{"categories":2395},[],{"categories":2397},[],{"categories":2399},[125],{"categories":2401},[111],{"categories":2403},[39],{"categories":2405},[39],{"categories":2407},[125],{"categories":2409},[39],{"categories":2411},[122],{"categories":2413},[39],{"categories":2415},[39],{"categories":2417},[39],{"categories":2419},[88],{"categories":2421},[39],{"categories":2423},[88],{"categories":2425},[39],{"categories":2427},[39],{"categories":2429},[88],{"categories":2431},[],{"categories":2433},[],{"categories":2435},[39],{"categories":2437},[234],{"categories":2439},[39],{"categories":2441},[],{"categories":2443},[],{"categories":2445},[168],{"categories":2447},[834],{"categories":2449},[88],{"categories":2451},[78],{"categories":2453},[2272],{"categories":2455},[],{"categories":2457},[],{"categories":2459},[39],{"categories":2461},[],{"categories":2463},[],{"categories":2465},[100],{"categories":2467},[122],{"categories":2469},[197],{"categories":2471},[83],{"categories":2473},[39],{"categories":2475},[39],{"categories":2477},[83],{"categories":2479},[],{"categories":2481},[168],{"categories":2483},[91],{"categories":2485},[39],{"categories":2487},[39],{"categories":2489},[88],{"categories":2491},[83],{"categories":2493},[39],{"categories":2495},[39],{"categories":2497},[78],{"categories":2499},[39],{"categories":2501},[],{"categories":2503},[78],{"categories":2505},[39],{"categories":2507},[197],{"categories":2509},[88],{"categories":2511},[122],{"categories":2513},[39],{"categories":2515},[100],{"categories":2517},[39],{"categories":2519},[39],{"categories":2521},[83],{"categories":2523},[39],{"categories":2525},[39],{"categories":2527},[39],{"categories":2529},[88],{"categories":2531},[],{"categories":2533},[39],{"categories":2535},[100],{"categories":2537},[78],{"categories":2539},[39],{"categories":2541},[39],{"categories":2543},[39],{"categories":2545},[],{"categories":2547},[39],{"categories":2549},[405],{"categories":2551},[88],{"categories":2553},[83],{"categories":2555},[122],{"categories":2557},[39],{"categories":2559},[39],{"categories":2561},[],{"categories":2563},[83],{"categories":2565},[83],{"categories":2567},[39],{"categories":2569},[39],{"categories":2571},[91],{"categories":2573},[39],{"categories":2575},[39],{"categories":2577},[39],{"categories":2579},[39],{"categories":2581},[100],{"categories":2583},[100],{"categories":2585},[39],{"categories":2587},[],{"categories":2589},[100],{"categories":2591},[39],{"categories":2593},[100],{"categories":2595},[88],{"categories":2597},[496],{"categories":2599},[],{"categories":2601},[],{"categories":2603},[39],{"categories":2605},[122],{"categories":2607},[],{"categories":2609},[234],{"categories":2611},[39],{"categories":2613},[39],{"categories":2615},[168],{"categories":2617},[798],{"categories":2619},[],{"categories":2621},[39],{"categories":2623},[39],{"categories":2625},[39],{"categories":2627},[100],{"categories":2629},[39],{"categories":2631},[39],{"categories":2633},[39,234],{"categories":2635},[39],{"categories":2637},[39],{"categories":2639},[168],{"categories":2641},[88],{"categories":2643},[],{"categories":2645},[88],{"categories":2647},[88],{"categories":2649},[39],{"categories":2651},[39],{"categories":2653},[39],{"categories":2655},[39],{"categories":2657},[125],{"categories":2659},[39],{"categories":2661},[2313],{"categories":2663},[78],{"categories":2665},[125],{"categories":2667},[78],{"categories":2669},[100],{"categories":2671},[168],{"categories":2673},[88],{"categories":2675},[39],{"categories":2677},[],{"categories":2679},[83],{"categories":2681},[39],{"categories":2683},[39],{"categories":2685},[122],{"categories":2687},[39],{"categories":2689},[39],{"categories":2691},[88],{"categories":2693},[39],{"categories":2695},[39],{"categories":2697},[39],{"categories":2699},[83],{"categories":2701},[],{"categories":2703},[234],{"categories":2705},[39],{"categories":2707},[326],{"categories":2709},[168],{"categories":2711},[168],{"categories":2713},[100],{"categories":2715},[88],{"categories":2717},[39],{"categories":2719},[83],{"categories":2721},[122],{"categories":2723},[39],{"categories":2725},[39],{"categories":2727},[168],{"categories":2729},[88],{"categories":2731},[88],{"categories":2733},[39],{"categories":2735},[39],{"categories":2737},[460],{"categories":2739},[],{"categories":2741},[39],{"categories":2743},[39],{"categories":2745},[39],{"categories":2747},[],{"categories":2749},[],{"categories":2751},[39],{"categories":2753},[39],{"categories":2755},[88],{"categories":2757},[39],{"categories":2759},[39],{"categories":2761},[39],{"categories":2763},[100],{"categories":2765},[39],{"categories":2767},[39],{"categories":2769},[88],{"categories":2771},[39],{"categories":2773},[39],{"categories":2775},[39],{"categories":2777},[39],{"categories":2779},[39],{"categories":2781},[],{"categories":2783},[100],{"categories":2785},[125],{"categories":2787},[39],{"categories":2789},[88],{"categories":2791},[39],{"categories":2793},[],{"categories":2795},[],{"categories":2797},[39],{"categories":2799},[39],{"categories":2801},[39],{"categories":2803},[122],{"categories":2805},[125],{"categories":2807},[],{"categories":2809},[39],{"categories":2811},[168],{"categories":2813},[39],{"categories":2815},[234],{"categories":2817},[1673],{"categories":2819},[122],{"categories":2821},[100],{"categories":2823},[39],{"categories":2825},[100],{"categories":2827},[100],{"categories":2829},[39],{"categories":2831},[39],{"categories":2833},[122],{"categories":2835},[122],{"categories":2837},[234],{"categories":2839},[88],{"categories":2841},[],{"categories":2843},[122],{"categories":2845},[39],{"categories":2847},[78],{"categories":2849},[100],{"categories":2851},[39],{"categories":2853},[122],{"categories":2855},[],{"categories":2857},[39],{"categories":2859},[100],{"categories":2861},[100],{"categories":2863},[125],{"categories":2865},[39],{"categories":2867},[122],{"categories":2869},[39],{"categories":2871},[100],{"categories":2873},[88],{"categories":2875},[122],{"categories":2877},[88],{"categories":2879},[234],{"categories":2881},[88],{"categories":2883},[39],{"categories":2885},[39],{"categories":2887},[39],{"categories":2889},[39],{"categories":2891},[100],{"categories":2893},[39],{"categories":2895},[],{"categories":2897},[88],{"categories":2899},[83],{"categories":2901},[100],{"categories":2903},[],{"categories":2905},[],{"categories":2907},[39],{"categories":2909},[88],{"categories":2911},[39],{"categories":2913},[39],{"categories":2915},[2916],"Frameworks & Tooling",{"categories":2918},[39],{"categories":2920},[39],{"categories":2922},[100],{"categories":2924},[39],{"categories":2926},[39],{"categories":2928},[],{"categories":2930},[125],{"categories":2932},[125],{"categories":2934},[78],{"categories":2936},[39],{"categories":2938},[88],{"categories":2940},[39],{"categories":2942},[168],{"categories":2944},[],{"categories":2946},[1673],{"categories":2948},[39],{"categories":2950},[100],{"categories":2952},[39],{"categories":2954},[234],{"categories":2956},[234],{"categories":2958},[],{"categories":2960},[88],{"categories":2962},[39],{"categories":2964},[122],{"categories":2966},[122],{"categories":2968},[39],{"categories":2970},[88],{"categories":2972},[],{"categories":2974},[168],{"categories":2976},[39],{"categories":2978},[39],{"categories":2980},[],{"categories":2982},[39],{"categories":2984},[88],{"categories":2986},[39],{"categories":2988},[39],{"categories":2990},[],{"categories":2992},[100],{"categories":2994},[39],{"categories":2996},[100],{"categories":2998},[234],{"categories":3000},[39],{"categories":3002},[39],{"categories":3004},[100],{"categories":3006},[83],{"categories":3008},[39],{"categories":3010},[1673],{"categories":3012},[],{"categories":3014},[88],{"categories":3016},[78],{"categories":3018},[39],{"categories":3020},[78],{"categories":3022},[39],{"categories":3024},[],{"categories":3026},[88],{"categories":3028},[39],{"categories":3030},[3031],"AI Design Tooling",{"categories":3033},[168],{"categories":3035},[39],{"categories":3037},[39],{"categories":3039},[100],{"categories":3041},[168],{"categories":3043},[39],{"categories":3045},[100],{"categories":3047},[122],{"categories":3049},[91],{"categories":3051},[100],{"categories":3053},[39],{"categories":3055},[39],{"categories":3057},[88],{"categories":3059},[39],{"categories":3061},[],{"categories":3063},[39],{"categories":3065},[39],{"categories":3067},[88],{"categories":3069},[39],{"categories":3071},[39],{"categories":3073},[39],{"categories":3075},[88],{"categories":3077},[],{"categories":3079},[88],{"categories":3081},[2916],{"categories":3083},[39],{"categories":3085},[39],{"categories":3087},[88],{"categories":3089},[88],{"categories":3091},[100],{"categories":3093},[100],{"categories":3095},[],{"categories":3097},[100],{"categories":3099},[39],{"categories":3101},[39],{"categories":3103},[88],{"categories":3105},[83],{"categories":3107},[39],{"categories":3109},[],{"categories":3111},[39],{"categories":3113},[39],{"categories":3115},[2076],{"categories":3117},[],{"categories":3119},[39],{"categories":3121},[39],{"categories":3123},[39],{"categories":3125},[39],{"categories":3127},[168],{"categories":3129},[39],{"categories":3131},[],{"categories":3133},[39],{"categories":3135},[39],{"categories":3137},[39],{"categories":3139},[197],{"categories":3141},[122],{"categories":3143},[39],{"categories":3145},[39],{"categories":3147},[1673],{"categories":3149},[78],{"categories":3151},[39],{"categories":3153},[39],{"categories":3155},[125],{"categories":3157},[39],{"categories":3159},[39],{"categories":3161},[122],{"categories":3163},[88],{"categories":3165},[],{"categories":3167},[39],{"categories":3169},[39],{"categories":3171},[168],{"categories":3173},[39],{"categories":3175},[197],{"categories":3177},[88],{"categories":3179},[39],{"categories":3181},[88],{"categories":3183},[],{"categories":3185},[],{"categories":3187},[],{"categories":3189},[78],{"categories":3191},[122],{"categories":3193},[88],{"categories":3195},[39],{"categories":3197},[39],{"categories":3199},[39],{"categories":3201},[39],{"categories":3203},[349],{"categories":3205},[168],{"categories":3207},[88],{"categories":3209},[39],{"categories":3211},[],{"categories":3213},[88],{"categories":3215},[88],{"categories":3217},[],{"categories":3219},[39],{"categories":3221},[88],{"categories":3223},[39],{"categories":3225},[],{"categories":3227},[39],{"categories":3229},[39],{"categories":3231},[39],{"categories":3233},[122],{"categories":3235},[168],{"categories":3237},[88],{"categories":3239},[168],{"categories":3241},[88],{"categories":3243},[39],{"categories":3245},[83],{"categories":3247},[],{"categories":3249},[],{"categories":3251},[39],{"categories":3253},[39],{"categories":3255},[78],{"categories":3257},[88],{"categories":3259},[122],{"categories":3261},[],{"categories":3263},[168],{"categories":3265},[],{"categories":3267},[100],{"categories":3269},[39],{"categories":3271},[100],{"categories":3273},[168],{"categories":3275},[100],{"categories":3277},[39],{"categories":3279},[],{"categories":3281},[39],{"categories":3283},[39],{"categories":3285},[],{"categories":3287},[39],{"categories":3289},[197],{"categories":3291},[39],{"categories":3293},[234],{"categories":3295},[100],{"categories":3297},[39],{"categories":3299},[],{"categories":3301},[88],{"categories":3303},[39],{"categories":3305},[78],{"categories":3307},[460],{"categories":3309},[39],{"categories":3311},[88],{"categories":3313},[39],{"categories":3315},[88],{"categories":3317},[39],{"categories":3319},[39],{"categories":3321},[39],{"categories":3323},[39],{"categories":3325},[],{"categories":3327},[39],{"categories":3329},[78],{"categories":3331},[39],{"categories":3333},[83],{"categories":3335},[100],{"categories":3337},[168],{"categories":3339},[],{"categories":3341},[39],{"categories":3343},[],{"categories":3345},[],{"categories":3347},[88],{"categories":3349},[39],{"categories":3351},[100],{"categories":3353},[168],{"categories":3355},[122],{"categories":3357},[39],{"categories":3359},[122],{"categories":3361},[88],{"categories":3363},[168],{"categories":3365},[39],{"categories":3367},[],{"categories":3369},[39],{"categories":3371},[111],{"categories":3373},[88],{"categories":3375},[39],{"categories":3377},[168],{"categories":3379},[122],{"categories":3381},[83],{"categories":3383},[100],{"categories":3385},[39],{"categories":3387},[39],{"categories":3389},[122],{"categories":3391},[197],{"categories":3393},[],{"categories":3395},[],{"categories":3397},[125],{"categories":3399},[405],{"categories":3401},[39],{"categories":3403},[88],{"categories":3405},[39,100],{"categories":3407},[122],{"categories":3409},[39],{"categories":3411},[39],{"categories":3413},[39],{"categories":3415},[39],{"categories":3417},[88],{"categories":3419},[39],{"categories":3421},[88],{"categories":3423},[39],{"categories":3425},[39],{"categories":3427},[39],{"categories":3429},[],{"categories":3431},[39],{"categories":3433},[1137],{"categories":3435},[100],{"categories":3437},[168],{"categories":3439},[39],{"categories":3441},[39],{"categories":3443},[39],{"categories":3445},[125],{"categories":3447},[88],{"categories":3449},[197],{"categories":3451},[234],{"categories":3453},[],{"categories":3455},[39],{"categories":3457},[83],{"categories":3459},[88],{"categories":3461},[78],{"categories":3463},[88],{"categories":3465},[39],{"categories":3467},[88],{"categories":3469},[88],{"categories":3471},[91],{"categories":3473},[100],{"categories":3475},[39],{"categories":3477},[39],{"categories":3479},[],{"categories":3481},[],{"categories":3483},[],{"categories":3485},[234],{"categories":3487},[39],{"categories":3489},[122],{"categories":3491},[39],{"categories":3493},[39],{"categories":3495},[39],{"categories":3497},[39],{"categories":3499},[],{"categories":3501},[39],{"categories":3503},[125],{"categories":3505},[83],{"categories":3507},[88],{"categories":3509},[39],{"categories":3511},[],{"categories":3513},[39],{"categories":3515},[88],{"categories":3517},[39],{"categories":3519},[234],{"categories":3521},[],{"categories":3523},[168],{"categories":3525},[168],{"categories":3527},[],{"categories":3529},[100],{"categories":3531},[39],{"categories":3533},[168],{"categories":3535},[39],{"categories":3537},[83],{"categories":3539},[88],{"categories":3541},[39],{"categories":3543},[],{"categories":3545},[122],{"categories":3547},[39],{"categories":3549},[39],{"categories":3551},[39],{"categories":3553},[168],{"categories":3555},[88],{"categories":3557},[122],{"categories":3559},[],{"categories":3561},[88],{"categories":3563},[83],{"categories":3565},[88],{"categories":3567},[168],{"categories":3569},[39],{"categories":3571},[39],{"categories":3573},[39],{"categories":3575},[405],{"categories":3577},[39],{"categories":3579},[],{"categories":3581},[39],{"categories":3583},[39],{"categories":3585},[234],{"categories":3587},[122],{"categories":3589},[125],{"categories":3591},[496],{"categories":3593},[125],{"categories":3595},[39],{"categories":3597},[],{"categories":3599},[],{"categories":3601},[],{"categories":3603},[88],{"categories":3605},[88],{"categories":3607},[88],{"categories":3609},[100],{"categories":3611},[39],{"categories":3613},[382],{"categories":3615},[100],{"categories":3617},[39],{"categories":3619},[39],{"categories":3621},[39],{"categories":3623},[39],{"categories":3625},[88],{"categories":3627},[],{"categories":3629},[],{"categories":3631},[39],{"categories":3633},[],{"categories":3635},[39],{"categories":3637},[88],{"categories":3639},[168],{"categories":3641},[39],{"categories":3643},[39],{"categories":3645},[],{"categories":3647},[88],{"categories":3649},[91],{"categories":3651},[39],{"categories":3653},[168],{"categories":3655},[39],{"categories":3657},[88],{"categories":3659},[83],{"categories":3661},[39],{"categories":3663},[197],{"categories":3665},[88],{"categories":3667},[39],{"categories":3669},[39],{"categories":3671},[798],{"categories":3673},[39],{"categories":3675},[88],{"categories":3677},[39],{"categories":3679},[100],{"categories":3681},[39],{"categories":3683},[460],{"categories":3685},[168],{"categories":3687},[],{"categories":3689},[39],{"categories":3691},[39],{"categories":3693},[122],{"categories":3695},[405],{"categories":3697},[88],{"categories":3699},[39],{"categories":3701},[],{"categories":3703},[122],{"categories":3705},[326],{"categories":3707},[88],{"categories":3709},[88],{"categories":3711},[88],{"categories":3713},[39],{"categories":3715},[39],{"categories":3717},[88],{"categories":3719},[],{"categories":3721},[83],{"categories":3723},[39],{"categories":3725},[83],{"categories":3727},[88],{"categories":3729},[],{"categories":3731},[100],{"categories":3733},[39],{"categories":3735},[39],{"categories":3737},[78],{"categories":3739},[122],{"categories":3741},[234],{"categories":3743},[111],{"categories":3745},[88],{"categories":3747},[88],{"categories":3749},[39],{"categories":3751},[88],{"categories":3753},[39],{"categories":3755},[78],{"categories":3757},[],{"categories":3759},[39],{"categories":3761},[39],{"categories":3763},[39],{"categories":3765},[88],{"categories":3767},[39],{"categories":3769},[],{"categories":3771},[39],{"categories":3773},[],{"categories":3775},[168],{"categories":3777},[88],{"categories":3779},[39,83],{"categories":3781},[88],{"categories":3783},[39],{"categories":3785},[],{"categories":3787},[78],{"categories":3789},[125],{"categories":3791},[83],{"categories":3793},[39],{"categories":3795},[100],{"categories":3797},[39],{"categories":3799},[39],{"categories":3801},[88],{"categories":3803},[39],{"categories":3805},[39],{"categories":3807},[39],{"categories":3809},[122],{"categories":3811},[1137],{"categories":3813},[88],{"categories":3815},[39],{"categories":3817},[],{"categories":3819},[],{"categories":3821},[39],{"categories":3823},[88],{"categories":3825},[39],{"categories":3827},[39],{"categories":3829},[234],{"categories":3831},[],{"categories":3833},[39],{"categories":3835},[88],{"categories":3837},[111],{"categories":3839},[88],{"categories":3841},[405],{"categories":3843},[],{"categories":3845},[349],{"categories":3847},[88],{"categories":3849},[39],{"categories":3851},[197],{"categories":3853},[88],{"categories":3855},[39],{"categories":3857},[125],{"categories":3859},[91],{"categories":3861},[88],{"categories":3863},[39],{"categories":3865},[405],{"categories":3867},[39],{"categories":3869},[234],{"categories":3871},[],{"categories":3873},[39],{"categories":3875},[197],{"categories":3877},[168],{"categories":3879},[39],{"categories":3881},[39],{"categories":3883},[39],{"categories":3885},[],{"categories":3887},[197],{"categories":3889},[122],{"categories":3891},[39],{"categories":3893},[39],{"categories":3895},[39],{"categories":3897},[496],{"categories":3899},[78],{"categories":3901},[39],{"categories":3903},[39],{"categories":3905},[],{"categories":3907},[],{"categories":3909},[168],{"categories":3911},[39],{"categories":3913},[125],{"categories":3915},[197],{"categories":3917},[88],{"categories":3919},[39],{"categories":3921},[39],{"categories":3923},[197],{"categories":3925},[122],{"categories":3927},[],{"categories":3929},[39],{"categories":3931},[39],{"categories":3933},[],{"categories":3935},[39],{"categories":3937},[39],{"categories":3939},[521],{"categories":3941},[39],{"categories":3943},[39],{"categories":3945},[88],{"categories":3947},[100],{"categories":3949},[405],{"categories":3951},[39],{"categories":3953},[39],{"categories":3955},[39],{"categories":3957},[],{"categories":3959},[39,100],{"categories":3961},[122],{"categories":3963},[88],{"categories":3965},[100],{"categories":3967},[88],{"categories":3969},[834],{"categories":3971},[100],{"categories":3973},[100],{"categories":3975},[88],{"categories":3977},[39],{"categories":3979},[78],{"categories":3981},[],{"categories":3983},[],{"categories":3985},[88],{"categories":3987},[39],{"categories":3989},[100],{"categories":3991},[39],{"categories":3993},[78],{"categories":3995},[100],{"categories":3997},[100],{"categories":3999},[39],{"categories":4001},[197],{"categories":4003},[39],{"categories":4005},[100],{"categories":4007},[39],{"categories":4009},[],{"categories":4011},[39],{"categories":4013},[168,39],{"categories":4015},[234],{"categories":4017},[78],{"categories":4019},[39],{"categories":4021},[],{"categories":4023},[39],{"categories":4025},[39],{"categories":4027},[83],{"categories":4029},[39],{"categories":4031},[83],{"categories":4033},[39],{"categories":4035},[39],{"categories":4037},[326],{"categories":4039},[39],{"categories":4041},[83],{"categories":4043},[100],{"categories":4045},[125],{"categories":4047},[88],{"categories":4049},[100],{"categories":4051},[39],{"categories":4053},[39],{"categories":4055},[122],{"categories":4057},[197],{"categories":4059},[168],{"categories":4061},[39],{"categories":4063},[39],{"categories":4065},[39],{"categories":4067},[39],{"categories":4069},[78],{"categories":4071},[39],{"categories":4073},[88],{"categories":4075},[88],{"categories":4077},[100],{"categories":4079},[122],{"categories":4081},[100],{"categories":4083},[100],{"categories":4085},[39],{"categories":4087},[39],{"categories":4089},[],{"categories":4091},[],{"categories":4093},[125],{"categories":4095},[39],{"categories":4097},[100],{"categories":4099},[39],{"categories":4101},[168],{"categories":4103},[405],{"categories":4105},[349],{"categories":4107},[326],{"categories":4109},[39],{"categories":4111},[39],{"categories":4113},[39],{"categories":4115},[125],{"categories":4117},[39],{"categories":4119},[39],{"categories":4121},[39],{"categories":4123},[39],{"categories":4125},[39],{"categories":4127},[39],{"categories":4129},[88],{"categories":4131},[78],{"categories":4133},[88],{"categories":4135},[39,83],{"categories":4137},[],{"categories":4139},[168],{"categories":4141},[],{"categories":4143},[91],{"categories":4145},[39],{"categories":4147},[122],{"categories":4149},[78],{"categories":4151},[39],{"categories":4153},[78],{"categories":4155},[88],{"categories":4157},[125],{"categories":4159},[88],{"categories":4161},[88],{"categories":4163},[39],{"categories":4165},[39],{"categories":4167},[83],{"categories":4169},[88],{"categories":4171},[100],{"categories":4173},[197],{"categories":4175},[39],{"categories":4177},[],{"categories":4179},[122],{"categories":4181},[39],{"categories":4183},[39],{"categories":4185},[39],{"categories":4187},[39],{"categories":4189},[39],{"categories":4191},[39],{"categories":4193},[100],{"categories":4195},[122],{"categories":4197},[100],{"categories":4199},[100],{"categories":4201},[39],{"categories":4203},[39],{"categories":4205},[39],{"categories":4207},[39],{"categories":4209},[349],{"categories":4211},[39],{"categories":4213},[88],{"categories":4215},[122],{"categories":4217},[39],{"categories":4219},[39],{"categories":4221},[39],{"categories":4223},[88],{"categories":4225},[39],{"categories":4227},[39],{"categories":4229},[39],{"categories":4231},[2916],{"categories":4233},[4234],"Clinical AI",{"categories":4236},[168],{"categories":4238},[39],{"categories":4240},[39],{"categories":4242},[39],{"categories":4244},[39],{"categories":4246},[234],{"categories":4248},[2313],{"categories":4250},[39],{"categories":4252},[91],{"categories":4254},[39],{"categories":4256},[88],{"categories":4258},[39],{"categories":4260},[39],{"categories":4262},[122],{"categories":4264},[39],{"categories":4266},[88],{"categories":4268},[100],{"categories":4270},[197],{"categories":4272},[39],{"categories":4274},[39],{"categories":4276},[83],{"categories":4278},[39],{"categories":4280},[39],{"categories":4282},[460],{"categories":4284},[39],{"categories":4286},[],{"categories":4288},[39],{"categories":4290},[100],{"categories":4292},[78],{"categories":4294},[39],{"categories":4296},[],{"categories":4298},[],{"categories":4300},[39],{"categories":4302},[],{"categories":4304},[83],{"categories":4306},[39],{"categories":4308},[39],{"categories":4310},[88],{"categories":4312},[122],{"categories":4314},[122],{"categories":4316},[122],{"categories":4318},[122],{"categories":4320},[],{"categories":4322},[78],{"categories":4324},[88],{"categories":4326},[122],{"categories":4328},[39],{"categories":4330},[521],{"categories":4332},[91],{"categories":4334},[39],{"categories":4336},[78],{"categories":4338},[39],{"categories":4340},[88],{"categories":4342},[39],{"categories":4344},[39],{"categories":4346},[39,88],{"categories":4348},[88],{"categories":4350},[234],{"categories":4352},[122],{"categories":4354},[88],{"categories":4356},[122],{"categories":4358},[88],{"categories":4360},[39],{"categories":4362},[],{"categories":4364},[122],{"categories":4366},[197],{"categories":4368},[78],{"categories":4370},[39],{"categories":4372},[39],{"categories":4374},[],{"categories":4376},[100],{"categories":4378},[],{"categories":4380},[78],{"categories":4382},[88],{"categories":4384},[122],{"categories":4386},[39],{"categories":4388},[122],{"categories":4390},[78],{"categories":4392},[122],{"categories":4394},[122],{"categories":4396},[],{"categories":4398},[83],{"categories":4400},[88],{"categories":4402},[122],{"categories":4404},[122],{"categories":4406},[122],{"categories":4408},[122],{"categories":4410},[122],{"categories":4412},[122],{"categories":4414},[122],{"categories":4416},[122],{"categories":4418},[122],{"categories":4420},[122],{"categories":4422},[125],{"categories":4424},[78],{"categories":4426},[39],{"categories":4428},[39],{"categories":4430},[88],{"categories":4432},[88],{"categories":4434},[],{"categories":4436},[39],{"categories":4438},[39,78],{"categories":4440},[],{"categories":4442},[88],{"categories":4444},[39],{"categories":4446},[122],{"categories":4448},[88],{"categories":4450},[834],{"categories":4452},[39],{"categories":4454},[39],{"categories":4456},[39],{"categories":4458},[39],{"categories":4460},[39],{"categories":4462},[326],{"categories":4464},[39],{"categories":4466},[39],{"categories":4468},[88],{"categories":4470},[39],{"categories":4472},[83],{"categories":4474},[91],{"categories":4476},[88],{"categories":4478},[88],{"categories":4480},[],{"categories":4482},[88],{"categories":4484},[168],{"categories":4486},[122],{"categories":4488},[39],{"categories":4490},[],{"categories":4492},[91],{"categories":4494},[],{"categories":4496},[100],{"categories":4498},[88],{"categories":4500},[168],{"categories":4502},[39],{"categories":4504},[],{"categories":4506},[39],{"categories":4508},[],{"categories":4510},[197],{"categories":4512},[39],{"categories":4514},[],{"categories":4516},[],{"categories":4518},[122],{"categories":4520},[78],{"categories":4522},[39],{"categories":4524},[39],{"categories":4526},[83],{"categories":4528},[39],{"categories":4530},[39],{"categories":4532},[39],{"categories":4534},[83],{"categories":4536},[83],{"categories":4538},[168],{"categories":4540},[],{"categories":4542},[39],{"categories":4544},[122],{"categories":4546},[],{"categories":4548},[39],{"categories":4550},[39],{"categories":4552},[168],{"categories":4554},[39],{"categories":4556},[39],{"categories":4558},[197],{"categories":4560},[39],{"categories":4562},[234],{"categories":4564},[],{"categories":4566},[88],{"categories":4568},[197],{"categories":4570},[100],{"categories":4572},[],{"categories":4574},[39],{"categories":4576},[],{"categories":4578},[88],{"categories":4580},[168],{"categories":4582},[100],{"categories":4584},[],{"categories":4586},[2916],{"categories":4588},[83],{"categories":4590},[78],{"categories":4592},[39],{"categories":4594},[125],{"categories":4596},[88],{"categories":4598},[168],{"categories":4600},[100],{"categories":4602},[],{"categories":4604},[],{"categories":4606},[39],{"categories":4608},[78],{"categories":4610},[39],{"categories":4612},[197],{"categories":4614},[],{"categories":4616},[88],{"categories":4618},[88],{"categories":4620},[39],{"categories":4622},[88],{"categories":4624},[39],{"categories":4626},[122],{"categories":4628},[100],{"categories":4630},[39],{"categories":4632},[88],{"categories":4634},[91],{"categories":4636},[39],{"categories":4638},[39],{"categories":4640},[88],{"categories":4642},[39],{"categories":4644},[91],{"categories":4646},[197],{"categories":4648},[122],{"categories":4650},[],{"categories":4652},[197],{"categories":4654},[39],{"categories":4656},[],{"categories":4658},[100],{"categories":4660},[88],{"categories":4662},[],{"categories":4664},[39],{"categories":4666},[39],{"categories":4668},[39],{"categories":4670},[39],{"categories":4672},[39],{"categories":4674},[88],{"categories":4676},[83],{"categories":4678},[78],{"categories":4680},[39],{"categories":4682},[168],{"categories":4684},[100],{"categories":4686},[100],{"categories":4688},[39],{"categories":4690},[125],{"categories":4692},[88],{"categories":4694},[39],{"categories":4696},[39],{"categories":4698},[88],{"categories":4700},[39],{"categories":4702},[83],{"categories":4704},[168],{"categories":4706},[100],{"categories":4708},[88],{"categories":4710},[39],{"categories":4712},[91],{"categories":4714},[39],{"categories":4716},[88],{"categories":4718},[39],{"categories":4720},[39],{"categories":4722},[122],{"categories":4724},[39],{"categories":4726},[],{"categories":4728},[78],{"categories":4730},[39],{"categories":4732},[39],{"categories":4734},[39],{"categories":4736},[100],{"categories":4738},[100],{"categories":4740},[39],{"categories":4742},[100],{"categories":4744},[39],{"categories":4746},[88],{"categories":4748},[39],{"categories":4750},[39],{"categories":4752},[39],{"categories":4754},[39],{"categories":4756},[39],{"categories":4758},[],{"categories":4760},[39],{"categories":4762},[168],{"categories":4764},[83],{"categories":4766},[122],{"categories":4768},[39],{"categories":4770},[88],{"categories":4772},[39],{"categories":4774},[88],{"categories":4776},[39],{"categories":4778},[39],{"categories":4780},[168],{"categories":4782},[88],{"categories":4784},[39],{"categories":4786},[197],{"categories":4788},[39],{"categories":4790},[125],{"categories":4792},[39],{"categories":4794},[39],{"categories":4796},[122],{"categories":4798},[39],{"categories":4800},[39],{"categories":4802},[39],{"categories":4804},[39],{"categories":4806},[88],{"categories":4808},[234],{"categories":4810},[39],{"categories":4812},[100],{"categories":4814},[88],{"categories":4816},[125],{"categories":4818},[],{"categories":4820},[88],{"categories":4822},[100],{"categories":4824},[39],{"categories":4826},[39],{"categories":4828},[2159],{"categories":4830},[168],{"categories":4832},[263],{"categories":4834},[39],{"categories":4836},[39],{"categories":4838},[39],{"categories":4840},[39],{"categories":4842},[78],{"categories":4844},[39],{"categories":4846},[39],{"categories":4848},[100],{"categories":4850},[83],{"categories":4852},[100],{"categories":4854},[39],{"categories":4856},[],{"categories":4858},[88],{"categories":4860},[88],{"categories":4862},[39],{"categories":4864},[39],{"categories":4866},[125],{"categories":4868},[],{"categories":4870},[122],{"categories":4872},[],{"categories":4874},[122],{"categories":4876},[39],{"categories":4878},[39],{"categories":4880},[88],{"categories":4882},[39],{"categories":4884},[88],{"categories":4886},[88],{"categories":4888},[],{"categories":4890},[39],{"categories":4892},[122],{"categories":4894},[39],{"categories":4896},[],{"categories":4898},[39],{"categories":4900},[39],{"categories":4902},[],{"categories":4904},[39],{"categories":4906},[168],{"categories":4908},[100],{"categories":4910},[88],{"categories":4912},[39],{"categories":4914},[39],{"categories":4916},[39],{"categories":4918},[197],{"categories":4920},[39],{"categories":4922},[39],{"categories":4924},[39],{"categories":4926},[78],{"categories":4928},[39],{"categories":4930},[39],{"categories":4932},[],{"categories":4934},[39],{"categories":4936},[39],{"categories":4938},[39],{"categories":4940},[],{"categories":4942},[78],{"categories":4944},[39],{"categories":4946},[122],{"categories":4948},[100],{"categories":4950},[91],{"categories":4952},[405],{"categories":4954},[39],{"categories":4956},[39],{"categories":4958},[39],{"categories":4960},[100],{"categories":4962},[122],{"categories":4964},[168],{"categories":4966},[39],{"categories":4968},[39],{"categories":4970},[39],{"categories":4972},[39],{"categories":4974},[122],{"categories":4976},[168],{"categories":4978},[39],{"categories":4980},[39],{"categories":4982},[122],{"categories":4984},[168],{"categories":4986},[39],{"categories":4988},[122],{"categories":4990},[39],{"categories":4992},[88],{"categories":4994},[88],{"categories":4996},[88],{"categories":4998},[100],{"categories":5000},[122],{"categories":5002},[88],{"categories":5004},[88],{"categories":5006},[39],{"categories":5008},[100],{"categories":5010},[168],{"categories":5012},[39],{"categories":5014},[39],{"categories":5016},[39],{"categories":5018},[],{"categories":5020},[88],{"categories":5022},[],{"categories":5024},[39],{"categories":5026},[39],{"categories":5028},[],{"categories":5030},[],{"categories":5032},[88],{"categories":5034},[83],{"categories":5036},[88],{"categories":5038},[5039],"Liability & Ethics",{"categories":5041},[39],{"categories":5043},[39],{"categories":5045},[88],{"categories":5047},[78],{"categories":5049},[88],{"categories":5051},[83],{"categories":5053},[197],{"categories":5055},[88],{"categories":5057},[39],{"categories":5059},[39],{"categories":5061},[],{"categories":5063},[496],{"categories":5065},[88],{"categories":5067},[],{"categories":5069},[39],{"categories":5071},[78],{"categories":5073},[88],{"categories":5075},[],{"categories":5077},[88],{"categories":5079},[39],{"categories":5081},[39],{"categories":5083},[100],{"categories":5085},[39],{"categories":5087},[122],{"categories":5089},[39],{"categories":5091},[39],{"categories":5093},[88],{"categories":5095},[39],{"categories":5097},[39],{"categories":5099},[39],{"categories":5101},[122],{"categories":5103},[88],{"categories":5105},[100],{"categories":5107},[168],{"categories":5109},[78],{"categories":5111},[39],{"categories":5113},[39],{"categories":5115},[],{"categories":5117},[88],{"categories":5119},[88],{"categories":5121},[88],{"categories":5123},[405],{"categories":5125},[168],{"categories":5127},[88],{"categories":5129},[234],{"categories":5131},[100],{"categories":5133},[122],{"categories":5135},[39],{"categories":5137},[168],{"categories":5139},[39],{"categories":5141},[78],{"categories":5143},[],{"categories":5145},[88],{"categories":5147},[39],{"categories":5149},[39],{"categories":5151},[39],{"categories":5153},[88],{"categories":5155},[39],{"categories":5157},[39],{"categories":5159},[168],{"categories":5161},[],{"categories":5163},[88],{"categories":5165},[91],{"categories":5167},[122],{"categories":5169},[88],{"categories":5171},[83],{"categories":5173},[],{"categories":5175},[39],{"categories":5177},[39],{"categories":5179},[91],{"categories":5181},[39],{"categories":5183},[88],{"categories":5185},[122],{"categories":5187},[78],{"categories":5189},[234],{"categories":5191},[39],{"categories":5193},[39],{"categories":5195},[39],{"categories":5197},[122],{"categories":5199},[83],{"categories":5201},[39],{"categories":5203},[168],{"categories":5205},[122],{"categories":5207},[234],{"categories":5209},[39],{"categories":5211},[88],{"categories":5213},[],{"categories":5215},[460],{"categories":5217},[],{"categories":5219},[39],{"categories":5221},[234],{"categories":5223},[39],{"categories":5225},[125],{"categories":5227},[88],{"categories":5229},[88],{"categories":5231},[5232],"Design News & Tools",{"categories":5234},[39],{"categories":5236},[122],{"categories":5238},[39],{"categories":5240},[39],{"categories":5242},[78],{"categories":5244},[39],{"categories":5246},[168],{"categories":5248},[88],{"categories":5250},[88],{"categories":5252},[168],{"categories":5254},[39],{"categories":5256},[405],{"categories":5258},[88],{"categories":5260},[39],{"categories":5262},[39],{"categories":5264},[405],{"categories":5266},[39],{"categories":5268},[197],{"categories":5270},[39],{"categories":5272},[88],{"categories":5274},[],{"categories":5276},[39],{"categories":5278},[39],{"categories":5280},[39],{"categories":5282},[122],{"categories":5284},[78],{"categories":5286},[],{"categories":5288},[39],{"categories":5290},[39],{"categories":5292},[39],{"categories":5294},[100],{"categories":5296},[521],{"categories":5298},[100],{"categories":5300},[168],{"categories":5302},[39],{"categories":5304},[39,88],{"categories":5306},[197,83],{"categories":5308},[100],{"categories":5310},[39],{"categories":5312},[39],{"categories":5314},[39],{"categories":5316},[39],{"categories":5318},[],{"categories":5320},[88],{"categories":5322},[39],{"categories":5324},[],{"categories":5326},[39],{"categories":5328},[100],{"categories":5330},[39],{"categories":5332},[100],{"categories":5334},[],{"categories":5336},[88],{"categories":5338},[39],{"categories":5340},[83],{"categories":5342},[39],{"categories":5344},[122],{"categories":5346},[39],{"categories":5348},[],{"categories":5350},[88],{"categories":5352},[39],{"categories":5354},[],{"categories":5356},[168],{"categories":5358},[39],{"categories":5360},[39],{"categories":5362},[88],{"categories":5364},[39],{"categories":5366},[39],{"categories":5368},[78],{"categories":5370},[88],{"categories":5372},[39],{"categories":5374},[],{"categories":5376},[234],{"categories":5378},[197],{"categories":5380},[83],{"categories":5382},[83],{"categories":5384},[39],{"categories":5386},[78],{"categories":5388},[78],{"categories":5390},[39],{"categories":5392},[88],{"categories":5394},[39],{"categories":5396},[39],{"categories":5398},[39],{"categories":5400},[39],{"categories":5402},[100],{"categories":5404},[39],{"categories":5406},[78],{"categories":5408},[39],{"categories":5410},[88],{"categories":5412},[39],{"categories":5414},[197],{"categories":5416},[39],{"categories":5418},[122],{"categories":5420},[39],{"categories":5422},[39],{"categories":5424},[88],{"categories":5426},[39],{"categories":5428},[39],{"categories":5430},[88],{"categories":5432},[],{"categories":5434},[100],{"categories":5436},[],{"categories":5438},[100],{"categories":5440},[88],{"categories":5442},[78],{"categories":5444},[],{"categories":5446},[125],{"categories":5448},[234],{"categories":5450},[39],{"categories":5452},[100],{"categories":5454},[39],{"categories":5456},[],{"categories":5458},[122],{"categories":5460},[88],{"categories":5462},[100],{"categories":5464},[168],{"categories":5466},[39],{"categories":5468},[39],{"categories":5470},[88],{"categories":5472},[100],{"categories":5474},[88],{"categories":5476},[122],{"categories":5478},[39],{"categories":5480},[91],{"categories":5482},[78],{"categories":5484},[91],{"categories":5486},[122],{"categories":5488},[39],{"categories":5490},[100],{"categories":5492},[39],{"categories":5494},[168],{"categories":5496},[83],{"categories":5498},[39],{"categories":5500},[39],{"categories":5502},[39],{"categories":5504},[39],{"categories":5506},[39],{"categories":5508},[39],{"categories":5510},[88],{"categories":5512},[39],{"categories":5514},[88],{"categories":5516},[39],{"categories":5518},[39],{"categories":5520},[78],{"categories":5522},[39],{"categories":5524},[88],{"categories":5526},[88],{"categories":5528},[168],{"categories":5530},[88],{"categories":5532},[88],{"categories":5534},[78],{"categories":5536},[88],{"categories":5538},[168],{"categories":5540},[],{"categories":5542},[39],{"categories":5544},[125],{"categories":5546},[405],{"categories":5548},[39],{"categories":5550},[39],{"categories":5552},[39],{"categories":5554},[100],{"categories":5556},[39],{"categories":5558},[],{"categories":5560},[39],{"categories":5562},[88],{"categories":5564},[39],{"categories":5566},[197],{"categories":5568},[39],{"categories":5570},[100],{"categories":5572},[122],{"categories":5574},[88],{"categories":5576},[39],{"categories":5578},[197],{"categories":5580},[88],{"categories":5582},[83],{"categories":5584},[83],{"categories":5586},[39],{"categories":5588},[39],{"categories":5590},[39],{"categories":5592},[39],{"categories":5594},[39],{"categories":5596},[78],{"categories":5598},[],{"categories":5600},[39],{"categories":5602},[39],{"categories":5604},[88],{"categories":5606},[88],{"categories":5608},[39],{"categories":5610},[39],{"categories":5612},[39],{"categories":5614},[100],{"categories":5616},[],{"categories":5618},[78],{"categories":5620},[39],{"categories":5622},[39],{"categories":5624},[88],{"categories":5626},[88],{"categories":5628},[],{"categories":5630},[100],{"categories":5632},[100],{"categories":5634},[39],{"categories":5636},[197],{"categories":5638},[83],{"categories":5640},[168],{"categories":5642},[],{"categories":5644},[39],{"categories":5646},[88],{"categories":5648},[78],{"categories":5650},[39],{"categories":5652},[39],{"categories":5654},[100],{"categories":5656},[78],{"categories":5658},[39],{"categories":5660},[39],{"categories":5662},[122],{"categories":5664},[125],{"categories":5666},[122],{"categories":5668},[88],{"categories":5670},[39],{"categories":5672},[],{"categories":5674},[122],{"categories":5676},[88],{"categories":5678},[168],{"categories":5680},[125],{"categories":5682},[39],{"categories":5684},[39],{"categories":5686},[],{"categories":5688},[88],{"categories":5690},[88],{"categories":5692},[88],{"categories":5694},[2916],{"categories":5696},[122],{"categories":5698},[39],{"categories":5700},[100],{"categories":5702},[39],{"categories":5704},[39],{"categories":5706},[39],{"categories":5708},[39],{"categories":5710},[83],{"categories":5712},[39],{"categories":5714},[78],{"categories":5716},[1673],{"categories":5718},[234],{"categories":5720},[78],{"categories":5722},[],{"categories":5724},[39],{"categories":5726},[],{"categories":5728},[122],{"categories":5730},[88],{"categories":5732},[168],{"categories":5734},[39],{"categories":5736},[39],{"categories":5738},[122],{"categories":5740},[],{"categories":5742},[88],{"categories":5744},[88],{"categories":5746},[88],{"categories":5748},[],{"categories":5750},[39],{"categories":5752},[],{"categories":5754},[122],{"categories":5756},[78],{"categories":5758},[168],{"categories":5760},[39],{"categories":5762},[88],{"categories":5764},[122],{"categories":5766},[39],{"categories":5768},[122],{"categories":5770},[],{"categories":5772},[122],{"categories":5774},[78],{"categories":5776},[405],{"categories":5778},[88],{"categories":5780},[39],{"categories":5782},[],{"categories":5784},[100],{"categories":5786},[88],{"categories":5788},[91],{"categories":5790},[88],{"categories":5792},[78],{"categories":5794},[],{"categories":5796},[],{"categories":5798},[],{"categories":5800},[168],{"categories":5802},[88],{"categories":5804},[39],{"categories":5806},[39],{"categories":5808},[],{"categories":5810},[],{"categories":5812},[],{"categories":5814},[39],{"categories":5816},[168],{"categories":5818},[39],{"categories":5820},[],{"categories":5822},[88],{"categories":5824},[39],{"categories":5826},[39],{"categories":5828},[78],{"categories":5830},[],{"categories":5832},[],{"categories":5834},[39],{"categories":5836},[39],{"categories":5838},[168],{"categories":5840},[39],{"categories":5842},[122],{"categories":5844},[],{"categories":5846},[39],{"categories":5848},[39],{"categories":5850},[197],{"categories":5852},[122],{"categories":5854},[197],{"categories":5856},[125],{"categories":5858},[39],{"categories":5860},[39],{"categories":5862},[],{"categories":5864},[],{"categories":5866},[88],{"categories":5868},[],{"categories":5870},[39],{"categories":5872},[405],{"categories":5874},[39],{"categories":5876},[39],{"categories":5878},[39],{"categories":5880},[39],{"categories":5882},[],{"categories":5884},[88],{"categories":5886},[39],{"categories":5888},[39],{"categories":5890},[],{"categories":5892},[88],{"categories":5894},[39],{"categories":5896},[122],{"categories":5898},[39],{"categories":5900},[197],{"categories":5902},[83],{"categories":5904},[39],{"categories":5906},[39],{"categories":5908},[88],{"categories":5910},[125],{"categories":5912},[88],{"categories":5914},[88],{"categories":5916},[],{"categories":5918},[88],{"categories":5920},[],{"categories":5922},[39],{"categories":5924},[],{"categories":5926},[122],{"categories":5928},[83],{"categories":5930},[],{"categories":5932},[39],{"categories":5934},[39],{"categories":5936},[],{"categories":5938},[168],{"categories":5940},[78],{"categories":5942},[],{"categories":5944},[83],{"categories":5946},[197],{"categories":5948},[39],{"categories":5950},[100],{"categories":5952},[78],{"categories":5954},[125],{"categories":5956},[83],{"categories":5958},[100],{"categories":5960},[88],{"categories":5962},[100],{"categories":5964},[],{"categories":5966},[39],{"categories":5968},[91],{"categories":5970},[39],{"categories":5972},[],{"categories":5974},[88],{"categories":5976},[78],{"categories":5978},[168],{"categories":5980},[39],{"categories":5982},[78],{"categories":5984},[88],{"categories":5986},[234],{"categories":5988},[39],{"categories":5990},[39],{"categories":5992},[39],{"categories":5994},[78],{"categories":5996},[125],{"categories":5998},[88],{"categories":6000},[],{"categories":6002},[39],{"categories":6004},[39],{"categories":6006},[39],{"categories":6008},[100],{"categories":6010},[88],{"categories":6012},[122],{"categories":6014},[100],{"categories":6016},[39],{"categories":6018},[91],{"categories":6020},[],{"categories":6022},[168],{"categories":6024},[100],{"categories":6026},[122],{"categories":6028},[78],{"categories":6030},[88],{"categories":6032},[39],{"categories":6034},[39],{"categories":6036},[88],{"categories":6038},[91],{"categories":6040},[39],{"categories":6042},[88],{"categories":6044},[39],{"categories":6046},[83],{"categories":6048},[88],{"categories":6050},[88,234],{"categories":6052},[39],{"categories":6054},[39],{"categories":6056},[88],{"categories":6058},[100],{"categories":6060},[39],{"categories":6062},[39],{"categories":6064},[125],{"categories":6066},[88],{"categories":6068},[197],{"categories":6070},[88],{"categories":6072},[83],{"categories":6074},[],{"categories":6076},[88],{"categories":6078},[39],{"categories":6080},[83],{"categories":6082},[],{"categories":6084},[],{"categories":6086},[100],{"categories":6088},[39],{"categories":6090},[39],{"categories":6092},[88],{"categories":6094},[125],{"categories":6096},[197],{"categories":6098},[39],{"categories":6100},[39],{"categories":6102},[88],{"categories":6104},[],{"categories":6106},[88],{"categories":6108},[122],{"categories":6110},[88],{"categories":6112},[39],{"categories":6114},[],{"categories":6116},[122],{"categories":6118},[100],{"categories":6120},[2916],{"categories":6122},[78],{"categories":6124},[100],{"categories":6126},[39],{"categories":6128},[88],{"categories":6130},[39],{"categories":6132},[39],{"categories":6134},[197],{"categories":6136},[100],{"categories":6138},[],{"categories":6140},[122],{"categories":6142},[39],{"categories":6144},[],{"categories":6146},[88],{"categories":6148},[39],{"categories":6150},[39],{"categories":6152},[39],{"categories":6154},[39],{"categories":6156},[88],{"categories":6158},[39],{"categories":6160},[39],{"categories":6162},[91],{"categories":6164},[39],{"categories":6166},[88],{"categories":6168},[39],{"categories":6170},[39],{"categories":6172},[39],{"categories":6174},[39],{"categories":6176},[39],{"categories":6178},[39],{"categories":6180},[39],{"categories":6182},[83],{"categories":6184},[],{"categories":6186},[91],{"categories":6188},[122],{"categories":6190},[88],{"categories":6192},[39],{"categories":6194},[100],{"categories":6196},[],{"categories":6198},[100],{"categories":6200},[100],{"categories":6202},[88],{"categories":6204},[100],{"categories":6206},[39],{"categories":6208},[39],{"categories":6210},[39],{"categories":6212},[88],{"categories":6214},[100],{"categories":6216},[39],{"categories":6218},[39],{"categories":6220},[39],{"categories":6222},[88],{"categories":6224},[122],{"categories":6226},[39],{"categories":6228},[39],{"categories":6230},[39],{"categories":6232},[83],{"categories":6234},[39],{"categories":6236},[88],{"categories":6238},[168],{"categories":6240},[],{"categories":6242},[39],{"categories":6244},[125],{"categories":6246},[88],{"categories":6248},[39],{"categories":6250},[39],{"categories":6252},[],{"categories":6254},[39],{"categories":6256},[39],{"categories":6258},[122],{"categories":6260},[39],{"categories":6262},[39],{"categories":6264},[88],{"categories":6266},[197],{"categories":6268},[],{"categories":6270},[],{"categories":6272},[100],{"categories":6274},[39],{"categories":6276},[122],{"categories":6278},[39],{"categories":6280},[100],{"categories":6282},[122],{"categories":6284},[39],{"categories":6286},[197],{"categories":6288},[125],{"categories":6290},[39],{"categories":6292},[39],{"categories":6294},[78],{"categories":6296},[88],{"categories":6298},[39],{"categories":6300},[39],{"categories":6302},[88],{"categories":6304},[88],{"categories":6306},[39],{"categories":6308},[83],{"categories":6310},[],{"categories":6312},[125],{"categories":6314},[39],{"categories":6316},[],{"categories":6318},[122],{"categories":6320},[39],{"categories":6322},[125],{"categories":6324},[39],{"categories":6326},[100],{"categories":6328},[100],{"categories":6330},[100],{"categories":6332},[88],{"categories":6334},[88],{"categories":6336},[39],{"categories":6338},[88],{"categories":6340},[39],{"categories":6342},[39],{"categories":6344},[168],{"categories":6346},[125],{"categories":6348},[125],{"categories":6350},[],{"categories":6352},[122],{"categories":6354},[39],{"categories":6356},[39],{"categories":6358},[100],{"categories":6360},[],{"categories":6362},[122],{"categories":6364},[122],{"categories":6366},[122],{"categories":6368},[],{"categories":6370},[88],{"categories":6372},[39],{"categories":6374},[],{"categories":6376},[78],{"categories":6378},[83],{"categories":6380},[],{"categories":6382},[39],{"categories":6384},[39],{"categories":6386},[],{"categories":6388},[100],{"categories":6390},[],{"categories":6392},[],{"categories":6394},[],{"categories":6396},[],{"categories":6398},[39],{"categories":6400},[122],{"categories":6402},[],{"categories":6404},[],{"categories":6406},[39],{"categories":6408},[39],{"categories":6410},[39],{"categories":6412},[125],{"categories":6414},[39],{"categories":6416},[125],{"categories":6418},[],{"categories":6420},[125],{"categories":6422},[125],{"categories":6424},[234],{"categories":6426},[88],{"categories":6428},[100],{"categories":6430},[],{"categories":6432},[],{"categories":6434},[125],{"categories":6436},[100],{"categories":6438},[100],{"categories":6440},[100],{"categories":6442},[],{"categories":6444},[78],{"categories":6446},[100],{"categories":6448},[100],{"categories":6450},[78],{"categories":6452},[100],{"categories":6454},[83],{"categories":6456},[100],{"categories":6458},[100],{"categories":6460},[100],{"categories":6462},[125],{"categories":6464},[122],{"categories":6466},[122],{"categories":6468},[39],{"categories":6470},[100],{"categories":6472},[125],{"categories":6474},[234],{"categories":6476},[125],{"categories":6478},[125],{"categories":6480},[125],{"categories":6482},[],{"categories":6484},[83],{"categories":6486},[],{"categories":6488},[234],{"categories":6490},[100],{"categories":6492},[100],{"categories":6494},[100],{"categories":6496},[88],{"categories":6498},[122,83],{"categories":6500},[125],{"categories":6502},[],{"categories":6504},[],{"categories":6506},[125],{"categories":6508},[],{"categories":6510},[125],{"categories":6512},[122],{"categories":6514},[88],{"categories":6516},[],{"categories":6518},[100],{"categories":6520},[39],{"categories":6522},[168],{"categories":6524},[],{"categories":6526},[39],{"categories":6528},[],{"categories":6530},[122],{"categories":6532},[78],{"categories":6534},[125],{"categories":6536},[],{"categories":6538},[100],{"categories":6540},[122],[6542,6589,6666,6738],{"id":6543,"title":6544,"ai":6545,"body":6550,"categories":6570,"created_at":40,"date_modified":40,"description":33,"extension":41,"faq":40,"featured":42,"kicker_label":40,"meta":6571,"navigation":56,"path":6580,"published_at":58,"question":40,"scraped_at":58,"seo":6581,"sitemap":6582,"source_id":6583,"source_name":62,"source_type":63,"source_url":6576,"stem":6584,"tags":6585,"thumbnail_url":40,"tldr":6586,"tweet":40,"unknown_tags":6587,"__hash__":6588},"summaries\u002Fsummaries\u002F9539716443984dda-evaluating-agentic-learning-without-labels-via-sca-summary.md","Evaluating Agentic Learning Without Labels via Scaling",{"provider":7,"model":8,"input_tokens":6546,"output_tokens":6547,"processing_time_ms":6548,"cost_usd":6549},4060,436,2274,0.001669,{"type":14,"value":6551,"toc":6566},[6552,6556,6559,6563],[17,6553,6555],{"id":6554},"evaluating-agentic-systems-without-ground-truth","Evaluating Agentic Systems Without Ground Truth",[22,6557,6558],{},"The core challenge addressed in this research is the difficulty of evaluating agentic systems—specifically those operating in complex environments like information security—where traditional labeled datasets are often unavailable or insufficient. The authors propose a methodology that shifts the focus from static label-based evaluation to a dynamic assessment of learning harness capabilities. By applying the scaling hypothesis, the researchers demonstrate that agentic performance can be predicted and measured based on the relationship between compute, model size, and task complexity, even in the absence of explicit ground-truth labels.",[17,6560,6562],{"id":6561},"the-scaling-hypothesis-as-an-evaluation-framework","The Scaling Hypothesis as an Evaluation Framework",[22,6564,6565],{},"The paper argues that agentic learning follows predictable scaling laws. Instead of relying on human-annotated datasets, the authors utilize the internal consistency and task-completion efficiency of the agent as a proxy for capability. By observing how an agent's performance improves as it is allocated more compute or as the underlying model scales, researchers can infer the agent's learning potential and robustness. This approach is particularly relevant for security-focused AI, where agents must adapt to novel, adversarial environments that cannot be fully captured in a static training set. The findings suggest that scaling behavior provides a reliable signal for assessing whether an agent is effectively 'learning' to navigate a task or merely memorizing patterns, offering a path toward more scalable and automated evaluation pipelines for autonomous systems.",{"title":33,"searchDepth":34,"depth":34,"links":6567},[6568,6569],{"id":6554,"depth":34,"text":6555},{"id":6561,"depth":34,"text":6562},[39],{"content_references":6572,"triage":6577},[6573],{"type":46,"title":6574,"publisher":6575,"url":6576,"context":49},"Evaluating Agentic Learning Harness Capabilities Without Labels via the Scaling Hypothesis","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13608",{"relevance":53,"novelty":52,"quality":52,"actionability":34,"composite":6578,"reasoning":6579},3.25,"Category: AI & LLMs. The article discusses a novel evaluation framework for agentic systems, which is relevant to AI engineering and addresses the challenge of evaluating AI without labeled data. However, it lacks direct actionable steps for practitioners looking to implement these concepts in product development.","\u002Fsummaries\u002F9539716443984dda-evaluating-agentic-learning-without-labels-via-sca-summary",{"title":6544,"description":33},{"loc":6580},"9539716443984dda","summaries\u002F9539716443984dda-evaluating-agentic-learning-without-labels-via-sca-summary",[68,66,67,69],"The paper demonstrates that agentic learning capabilities can be evaluated without ground-truth labels by leveraging the scaling hypothesis, providing a framework for assessing autonomous systems in security contexts.",[69],"BV4Qa4Q5QgC_bMKsLHVgKQyMVlOiSOnGLWPU6QJsoCs",{"id":6590,"title":6591,"ai":6592,"body":6597,"categories":6648,"created_at":40,"date_modified":40,"description":33,"extension":41,"faq":40,"featured":42,"kicker_label":40,"meta":6649,"navigation":56,"path":6656,"published_at":6657,"question":40,"scraped_at":6657,"seo":6658,"sitemap":6659,"source_id":6660,"source_name":62,"source_type":63,"source_url":6653,"stem":6661,"tags":6662,"thumbnail_url":40,"tldr":6663,"tweet":40,"unknown_tags":6664,"__hash__":6665},"summaries\u002Fsummaries\u002F846e1b625d3de3fc-mindmemos-a-self-evolving-memory-layer-for-ai-agen-summary.md","MindMemOS: A Self-Evolving Memory Layer for AI Agents",{"provider":7,"model":8,"input_tokens":6593,"output_tokens":6594,"processing_time_ms":6595,"cost_usd":6596},4052,573,2619,0.0018725,{"type":14,"value":6598,"toc":6643},[6599,6603,6606,6610,6613,6636,6640],[17,6600,6602],{"id":6601},"the-architecture-of-portable-memory","The Architecture of Portable Memory",[22,6604,6605],{},"MindMemOS addresses the critical bottleneck in current AI agent development: the lack of a standardized, persistent, and evolving memory layer. Most agents rely on transient context windows or static RAG (Retrieval-Augmented Generation) systems that fail to adapt as the agent interacts with new environments. MindMemOS functions as an operating layer that sits between the agent's core model and its data storage, providing a unified interface for memory management that is model-agnostic and portable across different agent frameworks.",[17,6607,6609],{"id":6608},"self-evolving-memory-dynamics","Self-Evolving Memory Dynamics",[22,6611,6612],{},"Unlike traditional databases, MindMemOS treats memory as a dynamic, self-evolving entity. It employs a multi-tiered architecture that manages memory through three primary processes:",[6614,6615,6616,6624,6630],"ol",{},[6617,6618,6619,6623],"li",{},[6620,6621,6622],"strong",{},"Active Consolidation:"," The system continuously evaluates incoming interactions, distilling transient information into structured, long-term knowledge representations.",[6617,6625,6626,6629],{},[6620,6627,6628],{},"Adaptive Retrieval:"," Rather than relying on simple vector similarity, the layer uses context-aware retrieval mechanisms that adjust based on the agent's current task and historical performance.",[6617,6631,6632,6635],{},[6620,6633,6634],{},"Self-Optimization:"," The memory layer periodically refines its own indexing and storage structures, effectively 'pruning' irrelevant information and strengthening high-utility associations without requiring manual intervention or retraining of the underlying LLM.",[17,6637,6639],{"id":6638},"decoupling-intelligence-from-storage","Decoupling Intelligence from Storage",[22,6641,6642],{},"By abstracting memory into an operating layer, MindMemOS allows developers to swap out underlying models (e.g., moving from GPT-4 to a local Llama-3 instance) without losing the agent's accumulated knowledge. This portability solves the 'vendor lock-in' problem common in proprietary agent platforms. The system provides a consistent API for state management, ensuring that an agent's 'personality' and learned task-specific strategies persist regardless of the compute backend. This approach significantly reduces the overhead of managing agent state, as the memory layer handles the complexities of storage, retrieval, and evolution, allowing the agent to focus purely on reasoning and execution.",{"title":33,"searchDepth":34,"depth":34,"links":6644},[6645,6646,6647],{"id":6601,"depth":34,"text":6602},{"id":6608,"depth":34,"text":6609},{"id":6638,"depth":34,"text":6639},[39],{"content_references":6650,"triage":6654},[6651],{"type":46,"title":6652,"url":6653,"context":49},"MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.12428",{"relevance":51,"novelty":52,"quality":52,"actionability":53,"composite":54,"reasoning":6655},"Category: AI & LLMs. The article presents a novel architecture for AI agents that addresses a critical limitation in current systems, making it highly relevant for developers building AI-powered products. It introduces actionable concepts like 'Active Consolidation' and 'Adaptive Retrieval,' which could inspire practical implementations, though it lacks detailed step-by-step guidance.","\u002Fsummaries\u002F846e1b625d3de3fc-mindmemos-a-self-evolving-memory-layer-for-ai-agen-summary","2026-08-15 03:11:02",{"title":6591,"description":33},{"loc":6656},"846e1b625d3de3fc","summaries\u002F846e1b625d3de3fc-mindmemos-a-self-evolving-memory-layer-for-ai-agen-summary",[66,68,67,69],"MindMemOS introduces a portable, self-evolving memory operating layer that decouples agent intelligence from long-term storage, enabling persistent, adaptive memory across diverse AI architectures.",[69],"ITkqa-R8MIN-Dei8VvFVflf2HQRuhLUTbonm1mftHgs",{"id":6667,"title":6668,"ai":6669,"body":6674,"categories":6718,"created_at":40,"date_modified":40,"description":33,"extension":41,"faq":40,"featured":42,"kicker_label":40,"meta":6719,"navigation":56,"path":6728,"published_at":6729,"question":40,"scraped_at":6729,"seo":6730,"sitemap":6731,"source_id":6732,"source_name":62,"source_type":63,"source_url":6724,"stem":6733,"tags":6734,"thumbnail_url":40,"tldr":6735,"tweet":40,"unknown_tags":6736,"__hash__":6737},"summaries\u002Fsummaries\u002Fb17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary.md","Sparse Coding for Latent Communication in VLM Agents",{"provider":7,"model":8,"input_tokens":6670,"output_tokens":6671,"processing_time_ms":6672,"cost_usd":6673},4007,477,2357,0.00171725,{"type":14,"value":6675,"toc":6714},[6676,6680,6683,6687,6690,6711],[17,6677,6679],{"id":6678},"interpreting-latent-agent-communication","Interpreting Latent Agent Communication",[22,6681,6682],{},"As multi-agent systems powered by Vision-Language Models (VLMs) become more complex, the internal \"language\" or latent representations used for inter-agent communication remain largely opaque. This research proposes a post-hoc sparse coding approach to decompose these latent signals. By applying sparse autoencoders or similar dictionary learning techniques to the hidden states of communicating agents, the authors aim to map high-dimensional, dense latent vectors into human-interpretable, sparse features.",[17,6684,6686],{"id":6685},"methodology-and-implications","Methodology and Implications",[22,6688,6689],{},"The core argument is that latent communication is not merely noise but contains structured, task-relevant information that can be reconstructed through sparse coding. By treating the latent space as a superposition of features, the method allows researchers to:",[6691,6692,6693,6699,6705],"ul",{},[6617,6694,6695,6698],{},[6620,6696,6697],{},"Identify specific communication primitives:"," Isolate which latent features correspond to visual grounding, spatial reasoning, or strategic planning during agent interaction.",[6617,6700,6701,6704],{},[6620,6702,6703],{},"Post-hoc analysis:"," Unlike training-time interpretability methods, this approach does not require modifying the underlying VLM architecture, making it applicable to existing, pre-trained models.",[6617,6706,6707,6710],{},[6620,6708,6709],{},"Improve transparency:"," By visualizing the activation of sparse features during multi-step tasks, developers can debug agent failures where communication breakdown is suspected.",[22,6712,6713],{},"This work provides a technical foundation for auditing agent-to-agent protocols, moving toward more reliable and explainable multi-agent AI systems.",{"title":33,"searchDepth":34,"depth":34,"links":6715},[6716,6717],{"id":6678,"depth":34,"text":6679},{"id":6685,"depth":34,"text":6686},[39],{"content_references":6720,"triage":6725},[6721],{"type":46,"title":6722,"author":6723,"url":6724,"context":49},"Post-Hoc Sparse Coding of Latent Communication Between Vision-Language Model Agents","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10198",{"relevance":52,"novelty":52,"quality":52,"actionability":53,"composite":6726,"reasoning":6727},3.8,"Category: AI & LLMs. The article discusses a novel approach to interpreting latent communication in VLM agents, addressing a specific pain point of understanding complex AI interactions. It provides insights into a method that can be applied to existing models, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Fb17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary","2026-08-13 03:25:45",{"title":6668,"description":33},{"loc":6728},"b17ba7c99fa7d79d","summaries\u002Fb17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary",[68,67,66,69],"This paper introduces a post-hoc sparse coding method to interpret and analyze the latent communication signals exchanged between vision-language model (VLM) agents, providing a framework for understanding multi-agent internal states.",[69],"vV6Lcp_Dc_Q_3Icp-GUZg1kj8oFzaIHDiCOYcmo0gRA",{"id":6739,"title":6740,"ai":6741,"body":6746,"categories":6774,"created_at":40,"date_modified":40,"description":33,"extension":41,"faq":40,"featured":42,"kicker_label":40,"meta":6775,"navigation":56,"path":6789,"published_at":6729,"question":40,"scraped_at":6729,"seo":6790,"sitemap":6791,"source_id":6792,"source_name":62,"source_type":63,"source_url":6780,"stem":6793,"tags":6794,"thumbnail_url":40,"tldr":6795,"tweet":40,"unknown_tags":6796,"__hash__":6797},"summaries\u002Fsummaries\u002Fdefa0bd3939e07d1-evaluation-conditioned-training-for-stronger-overs-summary.md","Evaluation-Conditioned Training for Stronger Oversight",{"provider":7,"model":8,"input_tokens":6742,"output_tokens":6743,"processing_time_ms":6744,"cost_usd":6745},4072,540,3183,0.001828,{"type":14,"value":6747,"toc":6769},[6748,6752,6755,6759,6762,6766],[17,6749,6751],{"id":6750},"the-challenge-of-oversight-generalization","The Challenge of Oversight Generalization",[22,6753,6754],{},"Modern AI agents often struggle when the quality or strictness of their oversight (the feedback or evaluation mechanism) changes between training and deployment. If a model is trained under weak oversight, it may fail to maintain high performance or safety standards when subjected to more rigorous, 'stronger' oversight regimes. Evaluation-Conditioned Training (ECT) addresses this by explicitly conditioning the model's policy on the evaluation regime, allowing it to learn how to adjust its behavior dynamically.",[17,6756,6758],{"id":6757},"the-ect-framework","The ECT Framework",[22,6760,6761],{},"Instead of training a model against a static evaluation metric, ECT incorporates the oversight regime as an input parameter during the training process. By exposing the agent to a distribution of oversight strengths—ranging from weak to strong—the model learns to optimize its output based on the expected rigor of the evaluator. This approach forces the model to internalize the requirements of higher-quality oversight, effectively 'teaching' it to generalize its performance beyond the limitations of its initial training environment.",[17,6763,6765],{"id":6764},"practical-implications-for-ai-agents","Practical Implications for AI Agents",[22,6767,6768],{},"This technique is particularly relevant for building robust AI agents that must operate in diverse environments. By conditioning on the evaluation regime, developers can ensure that agents do not 'overfit' to weak feedback loops. The research suggests that this method significantly improves the agent's ability to handle more complex or stringent evaluation criteria without requiring exhaustive retraining for every new oversight standard. The provided code implementation allows practitioners to integrate this conditioning into existing agent training pipelines.",{"title":33,"searchDepth":34,"depth":34,"links":6770},[6771,6772,6773],{"id":6750,"depth":34,"text":6751},{"id":6757,"depth":34,"text":6758},{"id":6764,"depth":34,"text":6765},[39],{"content_references":6776,"triage":6786},[6777,6782],{"type":6778,"title":6779,"url":6780,"context":6781},"other","Evaluation-Conditioned Training: Teaching Models to Generalize to Stronger Oversight Regimes","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10209","recommended",{"type":6783,"title":6784,"url":6785,"context":6781},"tool","Evaluation-Conditioned Training Code","https:\u002F\u002Fgithub.com\u002Fevaluationconditionedtraining\u002FEvaluation-Conditioned-Training",{"relevance":51,"novelty":52,"quality":52,"actionability":52,"composite":6787,"reasoning":6788},4.35,"Category: AI & LLMs. The article discusses Evaluation-Conditioned Training (ECT), which directly addresses a pain point for developers building AI agents by improving their adaptability to varying oversight conditions. It provides a practical framework and code implementation that can be integrated into existing training pipelines, making it actionable for the target audience.","\u002Fsummaries\u002Fdefa0bd3939e07d1-evaluation-conditioned-training-for-stronger-overs-summary",{"title":6740,"description":33},{"loc":6789},"defa0bd3939e07d1","summaries\u002Fdefa0bd3939e07d1-evaluation-conditioned-training-for-stronger-overs-summary",[66,68,67,69],"Evaluation-Conditioned Training (ECT) improves model performance by training agents to adapt their behavior based on the strength of the oversight regime they operate under, ensuring better generalization.",[69],"FqjpDcuh-tSP32qn-_97ndB86vJ8deFMcPldhgeYshQ"]