[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-fec2e7e3ca1a2fe0-principled-communication-gating-in-multi-agent-rl-summary":3,"summaries-facets-categories":109,"summary-related-fec2e7e3ca1a2fe0-principled-communication-gating-in-multi-agent-rl-summary":6633},{"id":4,"title":5,"ai":6,"body":13,"categories":75,"created_at":77,"date_modified":77,"description":70,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":80,"navigation":93,"path":94,"published_at":95,"question":77,"scraped_at":95,"seo":96,"sitemap":97,"source_id":98,"source_name":99,"source_type":100,"source_url":86,"stem":101,"tags":102,"thumbnail_url":77,"tldr":106,"tweet":77,"unknown_tags":107,"__hash__":108},"summaries\u002Fsummaries\u002Ffec2e7e3ca1a2fe0-principled-communication-gating-in-multi-agent-rl-summary.md","Principled Communication Gating in Multi-Agent RL",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4044,571,3674,0.0018675,{"type":14,"value":15,"toc":69},"minimark",[16,21,30,33,37,40,43,66],[17,18,20],"h2",{"id":19},"optimizing-communication-via-belief-divergence","Optimizing Communication via Belief Divergence",[22,23,24,25,29],"p",{},"In multi-agent reinforcement learning (MARL), agents often struggle with the trade-off between the high bandwidth costs of constant communication and the performance degradation caused by isolated decision-making. This research proposes a principled gating mechanism that allows agents to decide ",[26,27,28],"em",{},"when"," to communicate based on the information gain they expect to provide to their peers.",[22,31,32],{},"Instead of relying on heuristic-based gating or constant broadcast, the authors model communication as a decision triggered by the divergence between an agent's internal belief distribution and the predicted belief distribution of its peers. By calculating the Kullback-Leibler (KL) divergence between these distributions, the system identifies moments of high uncertainty or information asymmetry. If the divergence exceeds a learned threshold, the agent broadcasts its state or intent; otherwise, it remains silent, conserving bandwidth.",[17,34,36],{"id":35},"balancing-coordination-and-efficiency","Balancing Coordination and Efficiency",[22,38,39],{},"This approach effectively treats communication as a scarce resource. The core insight is that communication is only valuable when it significantly updates the belief state of other agents in a way that improves collective task performance.",[22,41,42],{},"Key advantages of this framework include:",[44,45,46,54,60],"ul",{},[47,48,49,53],"li",{},[50,51,52],"strong",{},"Reduced Bandwidth:"," By suppressing redundant or low-value messages, the system significantly lowers the communication overhead in multi-agent environments.",[47,55,56,59],{},[50,57,58],{},"Adaptive Coordination:"," The gating threshold can be tuned to prioritize either strict coordination or communication efficiency, depending on the constraints of the environment.",[47,61,62,65],{},[50,63,64],{},"Robustness:"," Because the mechanism is grounded in belief distributions, it is inherently more stable than methods that rely on simple thresholding of raw observation changes, as it accounts for the actual state-space uncertainty of the agents involved.",[22,67,68],{},"The authors demonstrate that this method maintains high performance in complex coordination tasks while drastically reducing the total number of messages exchanged compared to standard broadcast architectures.",{"title":70,"searchDepth":71,"depth":71,"links":72},"",2,[73,74],{"id":19,"depth":71,"text":20},{"id":35,"depth":71,"text":36},[76],"AI & LLMs",null,"md",false,{"content_references":81,"triage":88},[82],{"type":83,"title":84,"author":85,"url":86,"context":87},"paper","When to Communicate: Belief Distributions and KL Divergence for Principled Gating in Multi-Agent RL","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.14559","reviewed",{"relevance":89,"novelty":90,"quality":90,"actionability":71,"composite":91,"reasoning":92},3,4,3.25,"Category: AI & LLMs. The article discusses a novel communication gating mechanism in multi-agent reinforcement learning, which is relevant to AI engineering. However, it lacks direct practical applications for product builders, focusing more on theoretical insights than actionable steps.",true,"\u002Fsummaries\u002Ffec2e7e3ca1a2fe0-principled-communication-gating-in-multi-agent-rl-summary","2026-08-19 03:12:23",{"title":5,"description":70},{"loc":94},"fec2e7e3ca1a2fe0","arXiv cs.AI","article","summaries\u002Ffec2e7e3ca1a2fe0-principled-communication-gating-in-multi-agent-rl-summary",[103,104,105],"machine-learning","agents","research","This paper introduces a communication gating mechanism for multi-agent reinforcement learning that uses KL divergence between agent belief distributions to determine when communication is necessary, reducing bandwidth while maintaining coordination.",[],"_6y9wjnQKQmTThMrrtUBxp5BReB-OvELgb0kHfziAEQ",[110,112,115,117,120,122,125,128,130,132,134,137,139,141,143,145,148,150,152,154,156,159,162,164,166,168,170,172,174,176,178,180,182,184,186,188,190,192,194,196,198,200,202,205,207,209,211,213,215,217,219,221,223,225,227,229,231,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,271,273,275,277,279,281,283,285,287,289,291,293,295,297,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,363,365,367,369,371,373,375,377,379,381,383,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,419,421,423,425,427,429,431,433,435,437,439,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,497,499,501,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,535,537,539,541,543,545,547,549,551,553,555,557,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,839,841,843,845,847,850,852,854,856,858,860,862,864,866,868,870,872,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523,6525,6527,6529,6531,6533,6535,6537,6539,6541,6543,6545,6547,6549,6551,6553,6555,6557,6559,6561,6563,6565,6567,6569,6571,6573,6575,6577,6579,6581,6583,6585,6587,6589,6591,6593,6595,6597,6599,6601,6603,6605,6607,6609,6611,6613,6615,6617,6619,6621,6623,6625,6627,6629,6631],{"categories":111},[76],{"categories":113},[114],"Developer Productivity",{"categories":116},[76],{"categories":118},[119],"Business & SaaS",{"categories":121},[76],{"categories":123},[124],"AI Automation",{"categories":126},[127],"Product Strategy",{"categories":129},[76],{"categories":131},[114],{"categories":133},[124],{"categories":135},[136],"Software Engineering",{"categories":138},[76],{"categories":140},[119],{"categories":142},[],{"categories":144},[76],{"categories":146},[147],"Inference & Serving",{"categories":149},[76],{"categories":151},[76],{"categories":153},[124],{"categories":155},[],{"categories":157},[158],"AI News & Trends",{"categories":160},[161],"Data Science & Visualization",{"categories":163},[124],{"categories":165},[76],{"categories":167},[76],{"categories":169},[119],{"categories":171},[114],{"categories":173},[76],{"categories":175},[124],{"categories":177},[158],{"categories":179},[124],{"categories":181},[124],{"categories":183},[76],{"categories":185},[124],{"categories":187},[76],{"categories":189},[76],{"categories":191},[76],{"categories":193},[158],{"categories":195},[76],{"categories":197},[76],{"categories":199},[76],{"categories":201},[],{"categories":203},[204],"Design & Frontend",{"categories":206},[161],{"categories":208},[158],{"categories":210},[76],{"categories":212},[76],{"categories":214},[76],{"categories":216},[],{"categories":218},[76],{"categories":220},[76],{"categories":222},[124],{"categories":224},[136],{"categories":226},[76],{"categories":228},[124],{"categories":230},[76],{"categories":232},[233],"Marketing & Growth",{"categories":235},[204],{"categories":237},[76],{"categories":239},[124],{"categories":241},[76],{"categories":243},[136],{"categories":245},[],{"categories":247},[],{"categories":249},[204],{"categories":251},[76],{"categories":253},[124],{"categories":255},[114],{"categories":257},[136],{"categories":259},[124],{"categories":261},[204],{"categories":263},[127],{"categories":265},[76],{"categories":267},[136],{"categories":269},[270],"DevOps & Cloud",{"categories":272},[124],{"categories":274},[127],{"categories":276},[158],{"categories":278},[76],{"categories":280},[],{"categories":282},[76],{"categories":284},[76],{"categories":286},[],{"categories":288},[124],{"categories":290},[136],{"categories":292},[],{"categories":294},[136],{"categories":296},[76],{"categories":298},[299],"Governance & Standards",{"categories":301},[119],{"categories":303},[],{"categories":305},[],{"categories":307},[76],{"categories":309},[76],{"categories":311},[124],{"categories":313},[76],{"categories":315},[76],{"categories":317},[124],{"categories":319},[76],{"categories":321},[76],{"categories":323},[76],{"categories":325},[],{"categories":327},[136],{"categories":329},[],{"categories":331},[],{"categories":333},[76],{"categories":335},[136],{"categories":337},[],{"categories":339},[136],{"categories":341},[76],{"categories":343},[76],{"categories":345},[233],{"categories":347},[76],{"categories":349},[76],{"categories":351},[204],{"categories":353},[204],{"categories":355},[76],{"categories":357},[136],{"categories":359},[124],{"categories":361},[362],"GovTech & Public-Sector Adoption",{"categories":364},[136],{"categories":366},[76],{"categories":368},[76],{"categories":370},[76],{"categories":372},[124],{"categories":374},[124],{"categories":376},[161],{"categories":378},[76],{"categories":380},[158],{"categories":382},[124],{"categories":384},[385],"Legal AI Tools",{"categories":387},[76],{"categories":389},[124],{"categories":391},[76],{"categories":393},[233],{"categories":395},[124],{"categories":397},[127],{"categories":399},[76],{"categories":401},[136],{"categories":403},[362],{"categories":405},[],{"categories":407},[124],{"categories":409},[],{"categories":411},[119],{"categories":413},[124],{"categories":415},[124],{"categories":417},[418],"RAG & Retrieval",{"categories":420},[119],{"categories":422},[76],{"categories":424},[136],{"categories":426},[136],{"categories":428},[270],{"categories":430},[204],{"categories":432},[124],{"categories":434},[76],{"categories":436},[76],{"categories":438},[],{"categories":440},[441],"Agents & Orchestration",{"categories":443},[136],{"categories":445},[76],{"categories":447},[],{"categories":449},[124],{"categories":451},[119],{"categories":453},[],{"categories":455},[76],{"categories":457},[],{"categories":459},[76],{"categories":461},[114],{"categories":463},[136],{"categories":465},[119],{"categories":467},[76],{"categories":469},[124],{"categories":471},[76],{"categories":473},[158],{"categories":475},[76],{"categories":477},[],{"categories":479},[76],{"categories":481},[],{"categories":483},[136],{"categories":485},[76],{"categories":487},[161],{"categories":489},[],{"categories":491},[76],{"categories":493},[204],{"categories":495},[496],"Models & Frontier Labs",{"categories":498},[],{"categories":500},[204],{"categories":502},[503],"Regulation & Governance of AI",{"categories":505},[124],{"categories":507},[],{"categories":509},[76],{"categories":511},[76],{"categories":513},[124],{"categories":515},[158],{"categories":517},[76],{"categories":519},[119],{"categories":521},[76],{"categories":523},[],{"categories":525},[136],{"categories":527},[124],{"categories":529},[76],{"categories":531},[127],{"categories":533},[534],"AI Policy & Regulation",{"categories":536},[],{"categories":538},[76],{"categories":540},[124],{"categories":542},[127],{"categories":544},[124],{"categories":546},[76],{"categories":548},[76],{"categories":550},[76],{"categories":552},[124],{"categories":554},[],{"categories":556},[161],{"categories":558},[559],"Evals & Reliability",{"categories":561},[76],{"categories":563},[76],{"categories":565},[],{"categories":567},[114],{"categories":569},[362],{"categories":571},[534],{"categories":573},[76],{"categories":575},[119],{"categories":577},[76],{"categories":579},[124],{"categories":581},[76],{"categories":583},[124],{"categories":585},[441],{"categories":587},[76],{"categories":589},[136],{"categories":591},[76],{"categories":593},[],{"categories":595},[204],{"categories":597},[],{"categories":599},[76],{"categories":601},[362],{"categories":603},[76],{"categories":605},[76],{"categories":607},[76],{"categories":609},[],{"categories":611},[204],{"categories":613},[],{"categories":615},[76],{"categories":617},[],{"categories":619},[124],{"categories":621},[76],{"categories":623},[204],{"categories":625},[],{"categories":627},[76],{"categories":629},[76],{"categories":631},[161],{"categories":633},[124],{"categories":635},[76],{"categories":637},[119],{"categories":639},[124],{"categories":641},[76],{"categories":643},[76],{"categories":645},[136],{"categories":647},[204],{"categories":649},[76],{"categories":651},[124],{"categories":653},[],{"categories":655},[136],{"categories":657},[124],{"categories":659},[161],{"categories":661},[],{"categories":663},[76],{"categories":665},[158],{"categories":667},[76],{"categories":669},[],{"categories":671},[76],{"categories":673},[76],{"categories":675},[76],{"categories":677},[119,233],{"categories":679},[],{"categories":681},[136],{"categories":683},[76],{"categories":685},[76],{"categories":687},[124],{"categories":689},[76],{"categories":691},[],{"categories":693},[],{"categories":695},[76],{"categories":697},[204],{"categories":699},[76],{"categories":701},[],{"categories":703},[76],{"categories":705},[270],{"categories":707},[],{"categories":709},[124],{"categories":711},[158],{"categories":713},[76],{"categories":715},[76],{"categories":717},[204],{"categories":719},[],{"categories":721},[158],{"categories":723},[76],{"categories":725},[147],{"categories":727},[76],{"categories":729},[76],{"categories":731},[124],{"categories":733},[158],{"categories":735},[496],{"categories":737},[76],{"categories":739},[233],{"categories":741},[],{"categories":743},[124],{"categories":745},[119],{"categories":747},[136],{"categories":749},[76],{"categories":751},[124],{"categories":753},[],{"categories":755},[76,270],{"categories":757},[76],{"categories":759},[76],{"categories":761},[76],{"categories":763},[124],{"categories":765},[76,136],{"categories":767},[161],{"categories":769},[76],{"categories":771},[76],{"categories":773},[136],{"categories":775},[76],{"categories":777},[124],{"categories":779},[534],{"categories":781},[233],{"categories":783},[76],{"categories":785},[124],{"categories":787},[76],{"categories":789},[76],{"categories":791},[124],{"categories":793},[],{"categories":795},[124],{"categories":797},[76],{"categories":799},[76],{"categories":801},[124],{"categories":803},[76],{"categories":805},[76,119],{"categories":807},[76],{"categories":809},[119],{"categories":811},[],{"categories":813},[204],{"categories":815},[204],{"categories":817},[76],{"categories":819},[],{"categories":821},[],{"categories":823},[76],{"categories":825},[158],{"categories":827},[],{"categories":829},[114],{"categories":831},[76],{"categories":833},[136],{"categories":835},[76],{"categories":837},[838],"Generative UI & Design-to-Code",{"categories":840},[76],{"categories":842},[76],{"categories":844},[204],{"categories":846},[76],{"categories":848},[849],"Algorithmic Accountability",{"categories":851},[124],{"categories":853},[136],{"categories":855},[158],{"categories":857},[204],{"categories":859},[76],{"categories":861},[],{"categories":863},[127],{"categories":865},[76],{"categories":867},[76],{"categories":869},[76],{"categories":871},[124],{"categories":873},[874],"MLOps & Infrastructure",{"categories":876},[76],{"categories":878},[76],{"categories":880},[76],{"categories":882},[76],{"categories":884},[76],{"categories":886},[158],{"categories":888},[127],{"categories":890},[114],{"categories":892},[76],{"categories":894},[124],{"categories":896},[270],{"categories":898},[76],{"categories":900},[119],{"categories":902},[76],{"categories":904},[204],{"categories":906},[76],{"categories":908},[76],{"categories":910},[124],{"categories":912},[],{"categories":914},[],{"categories":916},[76],{"categories":918},[147],{"categories":920},[204],{"categories":922},[158],{"categories":924},[161],{"categories":926},[],{"categories":928},[76],{"categories":930},[76],{"categories":932},[119],{"categories":934},[124],{"categories":936},[76],{"categories":938},[76],{"categories":940},[76],{"categories":942},[76],{"categories":944},[158],{"categories":946},[147],{"categories":948},[76],{"categories":950},[204],{"categories":952},[76],{"categories":954},[],{"categories":956},[124],{"categories":958},[136],{"categories":960},[],{"categories":962},[76],{"categories":964},[76],{"categories":966},[124],{"categories":968},[136],{"categories":970},[76],{"categories":972},[161],{"categories":974},[],{"categories":976},[76],{"categories":978},[],{"categories":980},[76],{"categories":982},[],{"categories":984},[76],{"categories":986},[127],{"categories":988},[119],{"categories":990},[124],{"categories":992},[124],{"categories":994},[],{"categories":996},[114],{"categories":998},[76],{"categories":1000},[76],{"categories":1002},[119],{"categories":1004},[158],{"categories":1006},[114],{"categories":1008},[],{"categories":1010},[76],{"categories":1012},[],{"categories":1014},[],{"categories":1016},[158],{"categories":1018},[158],{"categories":1020},[],{"categories":1022},[441],{"categories":1024},[76],{"categories":1026},[204],{"categories":1028},[136],{"categories":1030},[],{"categories":1032},[385],{"categories":1034},[124],{"categories":1036},[119],{"categories":1038},[],{"categories":1040},[],{"categories":1042},[114],{"categories":1044},[161],{"categories":1046},[],{"categories":1048},[233],{"categories":1050},[124],{"categories":1052},[119],{"categories":1054},[124],{"categories":1056},[119],{"categories":1058},[76],{"categories":1060},[136],{"categories":1062},[],{"categories":1064},[147],{"categories":1066},[127],{"categories":1068},[76],{"categories":1070},[204],{"categories":1072},[136],{"categories":1074},[119],{"categories":1076},[76],{"categories":1078},[124],{"categories":1080},[119],{"categories":1082},[76],{"categories":1084},[76],{"categories":1086},[76],{"categories":1088},[76],{"categories":1090},[76],{"categories":1092},[],{"categories":1094},[],{"categories":1096},[136],{"categories":1098},[161],{"categories":1100},[127],{"categories":1102},[76],{"categories":1104},[124],{"categories":1106},[136],{"categories":1108},[136],{"categories":1110},[76],{"categories":1112},[],{"categories":1114},[158],{"categories":1116},[127],{"categories":1118},[136],{"categories":1120},[76],{"categories":1122},[559],{"categories":1124},[270],{"categories":1126},[],{"categories":1128},[124],{"categories":1130},[76],{"categories":1132},[],{"categories":1134},[114],{"categories":1136},[],{"categories":1138},[76],{"categories":1140},[76],{"categories":1142},[76],{"categories":1144},[204],{"categories":1146},[233],{"categories":1148},[76],{"categories":1150},[136],{"categories":1152},[76],{"categories":1154},[124],{"categories":1156},[],{"categories":1158},[136],{"categories":1160},[76],{"categories":1162},[114],{"categories":1164},[],{"categories":1166},[119],{"categories":1168},[76],{"categories":1170},[158],{"categories":1172},[76,270],{"categories":1174},[76],{"categories":1176},[1177],"Design Systems for AI",{"categories":1179},[76],{"categories":1181},[76],{"categories":1183},[158],{"categories":1185},[76],{"categories":1187},[76],{"categories":1189},[76],{"categories":1191},[119],{"categories":1193},[76],{"categories":1195},[76],{"categories":1197},[76],{"categories":1199},[],{"categories":1201},[76],{"categories":1203},[76],{"categories":1205},[119],{"categories":1207},[76],{"categories":1209},[],{"categories":1211},[124],{"categories":1213},[136],{"categories":1215},[158],{"categories":1217},[136],{"categories":1219},[76],{"categories":1221},[204],{"categories":1223},[158],{"categories":1225},[161],{"categories":1227},[76],{"categories":1229},[76],{"categories":1231},[124],{"categories":1233},[114],{"categories":1235},[534],{"categories":1237},[76],{"categories":1239},[124],{"categories":1241},[76],{"categories":1243},[136],{"categories":1245},[136],{"categories":1247},[],{"categories":1249},[],{"categories":1251},[76],{"categories":1253},[124],{"categories":1255},[127],{"categories":1257},[],{"categories":1259},[119],{"categories":1261},[76],{"categories":1263},[],{"categories":1265},[204],{"categories":1267},[124],{"categories":1269},[136],{"categories":1271},[204],{"categories":1273},[76],{"categories":1275},[76],{"categories":1277},[204],{"categories":1279},[],{"categories":1281},[],{"categories":1283},[158],{"categories":1285},[124],{"categories":1287},[124],{"categories":1289},[76],{"categories":1291},[76],{"categories":1293},[76],{"categories":1295},[76],{"categories":1297},[119],{"categories":1299},[76],{"categories":1301},[76],{"categories":1303},[],{"categories":1305},[136],{"categories":1307},[136],{"categories":1309},[76],{"categories":1311},[136],{"categories":1313},[119],{"categories":1315},[],{"categories":1317},[76],{"categories":1319},[76],{"categories":1321},[76],{"categories":1323},[76],{"categories":1325},[76],{"categories":1327},[124],{"categories":1329},[114],{"categories":1331},[119],{"categories":1333},[76],{"categories":1335},[124],{"categories":1337},[158],{"categories":1339},[124],{"categories":1341},[147],{"categories":1343},[233],{"categories":1345},[76],{"categories":1347},[124],{"categories":1349},[76],{"categories":1351},[76],{"categories":1353},[],{"categories":1355},[204],{"categories":1357},[],{"categories":1359},[76],{"categories":1361},[76],{"categories":1363},[],{"categories":1365},[136],{"categories":1367},[119],{"categories":1369},[1370],"Visual & Generative Media",{"categories":1372},[124],{"categories":1374},[],{"categories":1376},[76],{"categories":1378},[76],{"categories":1380},[136],{"categories":1382},[270],{"categories":1384},[76],{"categories":1386},[161],{"categories":1388},[534],{"categories":1390},[136],{"categories":1392},[233],{"categories":1394},[76],{"categories":1396},[204],{"categories":1398},[76],{"categories":1400},[76],{"categories":1402},[136],{"categories":1404},[124],{"categories":1406},[76],{"categories":1408},[],{"categories":1410},[],{"categories":1412},[124],{"categories":1414},[136],{"categories":1416},[114],{"categories":1418},[124],{"categories":1420},[496],{"categories":1422},[76],{"categories":1424},[127],{"categories":1426},[76],{"categories":1428},[119],{"categories":1430},[],{"categories":1432},[76],{"categories":1434},[127],{"categories":1436},[76],{"categories":1438},[76],{"categories":1440},[76],{"categories":1442},[127],{"categories":1444},[76],{"categories":1446},[76],{"categories":1448},[233],{"categories":1450},[76],{"categories":1452},[441],{"categories":1454},[76],{"categories":1456},[124],{"categories":1458},[76],{"categories":1460},[76],{"categories":1462},[76],{"categories":1464},[76],{"categories":1466},[204],{"categories":1468},[124],{"categories":1470},[],{"categories":1472},[124],{"categories":1474},[],{"categories":1476},[270],{"categories":1478},[136],{"categories":1480},[],{"categories":1482},[496],{"categories":1484},[76],{"categories":1486},[124],{"categories":1488},[76],{"categories":1490},[204,76],{"categories":1492},[114],{"categories":1494},[76],{"categories":1496},[204],{"categories":1498},[],{"categories":1500},[76],{"categories":1502},[114],{"categories":1504},[1505],"Medical Imaging & Radiology",{"categories":1507},[76],{"categories":1509},[204],{"categories":1511},[124],{"categories":1513},[136],{"categories":1515},[],{"categories":1517},[76],{"categories":1519},[76],{"categories":1521},[76],{"categories":1523},[],{"categories":1525},[],{"categories":1527},[76],{"categories":1529},[441],{"categories":1531},[76],{"categories":1533},[114],{"categories":1535},[76],{"categories":1537},[76],{"categories":1539},[],{"categories":1541},[124],{"categories":1543},[76],{"categories":1545},[127],{"categories":1547},[136],{"categories":1549},[76],{"categories":1551},[441],{"categories":1553},[76],{"categories":1555},[124],{"categories":1557},[76],{"categories":1559},[76],{"categories":1561},[76],{"categories":1563},[204],{"categories":1565},[124],{"categories":1567},[270],{"categories":1569},[204],{"categories":1571},[119],{"categories":1573},[124],{"categories":1575},[158],{"categories":1577},[76],{"categories":1579},[76],{"categories":1581},[127],{"categories":1583},[76],{"categories":1585},[76],{"categories":1587},[76],{"categories":1589},[124],{"categories":1591},[76],{"categories":1593},[136],{"categories":1595},[136],{"categories":1597},[76],{"categories":1599},[127],{"categories":1601},[],{"categories":1603},[158],{"categories":1605},[],{"categories":1607},[127],{"categories":1609},[124],{"categories":1611},[76],{"categories":1613},[124],{"categories":1615},[1177],{"categories":1617},[1177],{"categories":1619},[204],{"categories":1621},[76],{"categories":1623},[76],{"categories":1625},[124],{"categories":1627},[136],{"categories":1629},[204],{"categories":1631},[124],{"categories":1633},[158],{"categories":1635},[],{"categories":1637},[76],{"categories":1639},[],{"categories":1641},[76],{"categories":1643},[76],{"categories":1645},[76],{"categories":1647},[76],{"categories":1649},[124],{"categories":1651},[1652],"Contract Review & E-Discovery",{"categories":1654},[76],{"categories":1656},[204],{"categories":1658},[76],{"categories":1660},[114],{"categories":1662},[76],{"categories":1664},[158],{"categories":1666},[76],{"categories":1668},[76],{"categories":1670},[233],{"categories":1672},[136],{"categories":1674},[76],{"categories":1676},[76],{"categories":1678},[124],{"categories":1680},[124],{"categories":1682},[849],{"categories":1684},[76],{"categories":1686},[76],{"categories":1688},[124],{"categories":1690},[124],{"categories":1692},[76],{"categories":1694},[76],{"categories":1696},[124],{"categories":1698},[76],{"categories":1700},[76],{"categories":1702},[441],{"categories":1704},[418],{"categories":1706},[76],{"categories":1708},[124],{"categories":1710},[76],{"categories":1712},[1713],"Law-Firm Practice & Adoption",{"categories":1715},[76],{"categories":1717},[124],{"categories":1719},[204],{"categories":1721},[76],{"categories":1723},[76],{"categories":1725},[76],{"categories":1727},[],{"categories":1729},[],{"categories":1731},[136],{"categories":1733},[76],{"categories":1735},[],{"categories":1737},[124],{"categories":1739},[114],{"categories":1741},[270],{"categories":1743},[76],{"categories":1745},[],{"categories":1747},[114],{"categories":1749},[119],{"categories":1751},[76],{"categories":1753},[233],{"categories":1755},[],{"categories":1757},[119],{"categories":1759},[119],{"categories":1761},[],{"categories":1763},[76],{"categories":1765},[127],{"categories":1767},[76],{"categories":1769},[136],{"categories":1771},[],{"categories":1773},[],{"categories":1775},[],{"categories":1777},[],{"categories":1779},[76],{"categories":1781},[124],{"categories":1783},[270],{"categories":1785},[76],{"categories":1787},[114],{"categories":1789},[136],{"categories":1791},[76],{"categories":1793},[76],{"categories":1795},[136],{"categories":1797},[127],{"categories":1799},[76],{"categories":1801},[76],{"categories":1803},[76],{"categories":1805},[874],{"categories":1807},[76],{"categories":1809},[76],{"categories":1811},[233],{"categories":1813},[136],{"categories":1815},[119],{"categories":1817},[76],{"categories":1819},[76],{"categories":1821},[204],{"categories":1823},[76],{"categories":1825},[76],{"categories":1827},[76],{"categories":1829},[76],{"categories":1831},[119],{"categories":1833},[124],{"categories":1835},[76,114],{"categories":1837},[441],{"categories":1839},[76],{"categories":1841},[76],{"categories":1843},[136],{"categories":1845},[136],{"categories":1847},[204],{"categories":1849},[124],{"categories":1851},[136],{"categories":1853},[76],{"categories":1855},[76],{"categories":1857},[],{"categories":1859},[],{"categories":1861},[76],{"categories":1863},[124],{"categories":1865},[],{"categories":1867},[76],{"categories":1869},[136],{"categories":1871},[161],{"categories":1873},[158],{"categories":1875},[204],{"categories":1877},[76],{"categories":1879},[76],{"categories":1881},[136],{"categories":1883},[],{"categories":1885},[124],{"categories":1887},[76],{"categories":1889},[76],{"categories":1891},[76],{"categories":1893},[76],{"categories":1895},[],{"categories":1897},[124],{"categories":1899},[76],{"categories":1901},[76],{"categories":1903},[],{"categories":1905},[124],{"categories":1907},[76],{"categories":1909},[76],{"categories":1911},[119],{"categories":1913},[76],{"categories":1915},[76],{"categories":1917},[],{"categories":1919},[114],{"categories":1921},[76],{"categories":1923},[76],{"categories":1925},[204],{"categories":1927},[76],{"categories":1929},[136],{"categories":1931},[76],{"categories":1933},[114],{"categories":1935},[76],{"categories":1937},[136],{"categories":1939},[233],{"categories":1941},[124],{"categories":1943},[124],{"categories":1945},[76],{"categories":1947},[76],{"categories":1949},[76,204],{"categories":1951},[76],{"categories":1953},[124],{"categories":1955},[158],{"categories":1957},[76],{"categories":1959},[158],{"categories":1961},[124],{"categories":1963},[204],{"categories":1965},[76],{"categories":1967},[],{"categories":1969},[136],{"categories":1971},[270],{"categories":1973},[204],{"categories":1975},[136],{"categories":1977},[76],{"categories":1979},[127],{"categories":1981},[76],{"categories":1983},[76],{"categories":1985},[124],{"categories":1987},[],{"categories":1989},[],{"categories":1991},[76],{"categories":1993},[],{"categories":1995},[],{"categories":1997},[127],{"categories":1999},[136],{"categories":2001},[76],{"categories":2003},[124],{"categories":2005},[124],{"categories":2007},[119],{"categories":2009},[124],{"categories":2011},[270],{"categories":2013},[76],{"categories":2015},[76],{"categories":2017},[76],{"categories":2019},[147],{"categories":2021},[76],{"categories":2023},[76],{"categories":2025},[136],{"categories":2027},[124],{"categories":2029},[76],{"categories":2031},[76],{"categories":2033},[385],{"categories":2035},[849],{"categories":2037},[],{"categories":2039},[204],{"categories":2041},[1713],{"categories":2043},[136],{"categories":2045},[],{"categories":2047},[],{"categories":2049},[124],{"categories":2051},[],{"categories":2053},[],{"categories":2055},[76],{"categories":2057},[233],{"categories":2059},[76],{"categories":2061},[233],{"categories":2063},[124],{"categories":2065},[76],{"categories":2067},[136],{"categories":2069},[127],{"categories":2071},[],{"categories":2073},[76],{"categories":2075},[76],{"categories":2077},[136],{"categories":2079},[1652],{"categories":2081},[204],{"categories":2083},[204],{"categories":2085},[76],{"categories":2087},[124],{"categories":2089},[114],{"categories":2091},[76],{"categories":2093},[76],{"categories":2095},[76],{"categories":2097},[204],{"categories":2099},[204],{"categories":2101},[124],{"categories":2103},[124],{"categories":2105},[124],{"categories":2107},[76],{"categories":2109},[76],{"categories":2111},[],{"categories":2113},[76],{"categories":2115},[],{"categories":2117},[2118],"Interaction & Product Design",{"categories":2120},[76],{"categories":2122},[124],{"categories":2124},[136],{"categories":2126},[299],{"categories":2128},[158],{"categories":2130},[136],{"categories":2132},[76],{"categories":2134},[76],{"categories":2136},[136],{"categories":2138},[114],{"categories":2140},[124],{"categories":2142},[76],{"categories":2144},[],{"categories":2146},[124],{"categories":2148},[124],{"categories":2150},[],{"categories":2152},[136],{"categories":2154},[76],{"categories":2156},[114],{"categories":2158},[2118],{"categories":2160},[76],{"categories":2162},[114],{"categories":2164},[114],{"categories":2166},[],{"categories":2168},[124],{"categories":2170},[136],{"categories":2172},[],{"categories":2174},[124],{"categories":2176},[158],{"categories":2178},[76],{"categories":2180},[124],{"categories":2182},[76],{"categories":2184},[124],{"categories":2186},[76],{"categories":2188},[76],{"categories":2190},[158],{"categories":2192},[161],{"categories":2194},[76],{"categories":2196},[127],{"categories":2198},[136],{"categories":2200},[2201],"Coding Agents & Dev Productivity",{"categories":2203},[158],{"categories":2205},[204],{"categories":2207},[76],{"categories":2209},[76],{"categories":2211},[],{"categories":2213},[76],{"categories":2215},[849],{"categories":2217},[],{"categories":2219},[76],{"categories":2221},[270],{"categories":2223},[76],{"categories":2225},[158],{"categories":2227},[],{"categories":2229},[],{"categories":2231},[76],{"categories":2233},[],{"categories":2235},[124],{"categories":2237},[76],{"categories":2239},[],{"categories":2241},[136],{"categories":2243},[136],{"categories":2245},[76],{"categories":2247},[161],{"categories":2249},[],{"categories":2251},[76],{"categories":2253},[76],{"categories":2255},[76],{"categories":2257},[161],{"categories":2259},[136],{"categories":2261},[124],{"categories":2263},[],{"categories":2265},[],{"categories":2267},[76],{"categories":2269},[76],{"categories":2271},[124],{"categories":2273},[124],{"categories":2275},[362],{"categories":2277},[136],{"categories":2279},[136],{"categories":2281},[124],{"categories":2283},[158],{"categories":2285},[158],{"categories":2287},[124],{"categories":2289},[124],{"categories":2291},[76],{"categories":2293},[114],{"categories":2295},[2118],{"categories":2297},[76,270],{"categories":2299},[161],{"categories":2301},[],{"categories":2303},[204],{"categories":2305},[136],{"categories":2307},[114],{"categories":2309},[76],{"categories":2311},[124],{"categories":2313},[2314],"The Designer's Role & Craft",{"categories":2316},[204],{"categories":2318},[],{"categories":2320},[124],{"categories":2322},[76],{"categories":2324},[124],{"categories":2326},[124],{"categories":2328},[76],{"categories":2330},[233],{"categories":2332},[76],{"categories":2334},[136],{"categories":2336},[76],{"categories":2338},[204],{"categories":2340},[76],{"categories":2342},[],{"categories":2344},[124],{"categories":2346},[204],{"categories":2348},[76],{"categories":2350},[76],{"categories":2352},[76],{"categories":2354},[2355],"AI UX Patterns",{"categories":2357},[124],{"categories":2359},[124],{"categories":2361},[124],{"categories":2363},[124],{"categories":2365},[233],{"categories":2367},[161],{"categories":2369},[76],{"categories":2371},[124],{"categories":2373},[76],{"categories":2375},[1177],{"categories":2377},[],{"categories":2379},[233],{"categories":2381},[124],{"categories":2383},[158],{"categories":2385},[136],{"categories":2387},[76],{"categories":2389},[124],{"categories":2391},[],{"categories":2393},[],{"categories":2395},[76],{"categories":2397},[124],{"categories":2399},[76],{"categories":2401},[124],{"categories":2403},[362],{"categories":2405},[204],{"categories":2407},[76],{"categories":2409},[158],{"categories":2411},[136],{"categories":2413},[76],{"categories":2415},[124],{"categories":2417},[124],{"categories":2419},[],{"categories":2421},[76],{"categories":2423},[],{"categories":2425},[],{"categories":2427},[76],{"categories":2429},[76],{"categories":2431},[76],{"categories":2433},[124],{"categories":2435},[136],{"categories":2437},[],{"categories":2439},[],{"categories":2441},[161],{"categories":2443},[147],{"categories":2445},[76],{"categories":2447},[76],{"categories":2449},[161],{"categories":2451},[76],{"categories":2453},[158],{"categories":2455},[76],{"categories":2457},[76],{"categories":2459},[76],{"categories":2461},[124],{"categories":2463},[76],{"categories":2465},[124],{"categories":2467},[76],{"categories":2469},[76],{"categories":2471},[124],{"categories":2473},[],{"categories":2475},[],{"categories":2477},[76],{"categories":2479},[270],{"categories":2481},[76],{"categories":2483},[],{"categories":2485},[],{"categories":2487},[204],{"categories":2489},[874],{"categories":2491},[124],{"categories":2493},[114],{"categories":2495},[2314],{"categories":2497},[],{"categories":2499},[],{"categories":2501},[76],{"categories":2503},[],{"categories":2505},[],{"categories":2507},[136],{"categories":2509},[158],{"categories":2511},[233],{"categories":2513},[124],{"categories":2515},[119],{"categories":2517},[76],{"categories":2519},[76],{"categories":2521},[119],{"categories":2523},[],{"categories":2525},[204],{"categories":2527},[127],{"categories":2529},[76],{"categories":2531},[76],{"categories":2533},[124],{"categories":2535},[119],{"categories":2537},[76],{"categories":2539},[76],{"categories":2541},[114],{"categories":2543},[76],{"categories":2545},[],{"categories":2547},[114],{"categories":2549},[76],{"categories":2551},[233],{"categories":2553},[124],{"categories":2555},[158],{"categories":2557},[76],{"categories":2559},[136],{"categories":2561},[76],{"categories":2563},[76],{"categories":2565},[119],{"categories":2567},[76],{"categories":2569},[76],{"categories":2571},[76],{"categories":2573},[124],{"categories":2575},[],{"categories":2577},[76],{"categories":2579},[136],{"categories":2581},[114],{"categories":2583},[76],{"categories":2585},[76],{"categories":2587},[76],{"categories":2589},[],{"categories":2591},[76],{"categories":2593},[441],{"categories":2595},[124],{"categories":2597},[119],{"categories":2599},[158],{"categories":2601},[76],{"categories":2603},[76],{"categories":2605},[],{"categories":2607},[119],{"categories":2609},[119],{"categories":2611},[76],{"categories":2613},[76],{"categories":2615},[127],{"categories":2617},[76],{"categories":2619},[76],{"categories":2621},[76],{"categories":2623},[76],{"categories":2625},[136],{"categories":2627},[136],{"categories":2629},[76],{"categories":2631},[],{"categories":2633},[136],{"categories":2635},[76],{"categories":2637},[136],{"categories":2639},[124],{"categories":2641},[534],{"categories":2643},[],{"categories":2645},[],{"categories":2647},[76],{"categories":2649},[158],{"categories":2651},[],{"categories":2653},[270],{"categories":2655},[76],{"categories":2657},[76],{"categories":2659},[204],{"categories":2661},[838],{"categories":2663},[],{"categories":2665},[76],{"categories":2667},[76],{"categories":2669},[76],{"categories":2671},[136],{"categories":2673},[76],{"categories":2675},[76],{"categories":2677},[76,270],{"categories":2679},[76],{"categories":2681},[76],{"categories":2683},[204],{"categories":2685},[124],{"categories":2687},[],{"categories":2689},[124],{"categories":2691},[124],{"categories":2693},[76],{"categories":2695},[76],{"categories":2697},[76],{"categories":2699},[76],{"categories":2701},[161],{"categories":2703},[76],{"categories":2705},[2355],{"categories":2707},[114],{"categories":2709},[161],{"categories":2711},[114],{"categories":2713},[136],{"categories":2715},[204],{"categories":2717},[124],{"categories":2719},[76],{"categories":2721},[],{"categories":2723},[119],{"categories":2725},[76],{"categories":2727},[76],{"categories":2729},[158],{"categories":2731},[76],{"categories":2733},[76],{"categories":2735},[124],{"categories":2737},[76],{"categories":2739},[76],{"categories":2741},[76],{"categories":2743},[119],{"categories":2745},[],{"categories":2747},[270],{"categories":2749},[76],{"categories":2751},[362],{"categories":2753},[204],{"categories":2755},[204],{"categories":2757},[136],{"categories":2759},[124],{"categories":2761},[76],{"categories":2763},[119],{"categories":2765},[158],{"categories":2767},[76],{"categories":2769},[76],{"categories":2771},[204],{"categories":2773},[124],{"categories":2775},[124],{"categories":2777},[76],{"categories":2779},[76],{"categories":2781},[496],{"categories":2783},[],{"categories":2785},[76],{"categories":2787},[76],{"categories":2789},[76],{"categories":2791},[],{"categories":2793},[],{"categories":2795},[76],{"categories":2797},[76],{"categories":2799},[124],{"categories":2801},[76],{"categories":2803},[76],{"categories":2805},[76],{"categories":2807},[136],{"categories":2809},[76],{"categories":2811},[76],{"categories":2813},[124],{"categories":2815},[76],{"categories":2817},[76],{"categories":2819},[76],{"categories":2821},[76],{"categories":2823},[76],{"categories":2825},[],{"categories":2827},[136],{"categories":2829},[161],{"categories":2831},[76],{"categories":2833},[124],{"categories":2835},[76],{"categories":2837},[],{"categories":2839},[],{"categories":2841},[76],{"categories":2843},[76],{"categories":2845},[76],{"categories":2847},[158],{"categories":2849},[161],{"categories":2851},[],{"categories":2853},[76],{"categories":2855},[204],{"categories":2857},[76],{"categories":2859},[270],{"categories":2861},[1713],{"categories":2863},[158],{"categories":2865},[136],{"categories":2867},[76],{"categories":2869},[136],{"categories":2871},[136],{"categories":2873},[76],{"categories":2875},[76],{"categories":2877},[136],{"categories":2879},[158],{"categories":2881},[158],{"categories":2883},[270],{"categories":2885},[124],{"categories":2887},[],{"categories":2889},[158],{"categories":2891},[76],{"categories":2893},[114],{"categories":2895},[136],{"categories":2897},[76],{"categories":2899},[158],{"categories":2901},[],{"categories":2903},[76],{"categories":2905},[136],{"categories":2907},[136],{"categories":2909},[161],{"categories":2911},[76],{"categories":2913},[158],{"categories":2915},[76],{"categories":2917},[136],{"categories":2919},[124],{"categories":2921},[158],{"categories":2923},[124],{"categories":2925},[270],{"categories":2927},[124],{"categories":2929},[76],{"categories":2931},[76],{"categories":2933},[76],{"categories":2935},[76],{"categories":2937},[136],{"categories":2939},[76],{"categories":2941},[],{"categories":2943},[124],{"categories":2945},[119],{"categories":2947},[136],{"categories":2949},[],{"categories":2951},[],{"categories":2953},[76],{"categories":2955},[124],{"categories":2957},[76],{"categories":2959},[76],{"categories":2961},[2962],"Frameworks & Tooling",{"categories":2964},[76],{"categories":2966},[76],{"categories":2968},[136],{"categories":2970},[76],{"categories":2972},[76],{"categories":2974},[],{"categories":2976},[161],{"categories":2978},[161],{"categories":2980},[114],{"categories":2982},[76],{"categories":2984},[124],{"categories":2986},[76],{"categories":2988},[204],{"categories":2990},[],{"categories":2992},[1713],{"categories":2994},[76],{"categories":2996},[136],{"categories":2998},[76],{"categories":3000},[270],{"categories":3002},[270],{"categories":3004},[],{"categories":3006},[124],{"categories":3008},[76],{"categories":3010},[76],{"categories":3012},[158],{"categories":3014},[158],{"categories":3016},[76],{"categories":3018},[124],{"categories":3020},[],{"categories":3022},[204],{"categories":3024},[76],{"categories":3026},[76],{"categories":3028},[],{"categories":3030},[76],{"categories":3032},[124],{"categories":3034},[76],{"categories":3036},[76],{"categories":3038},[],{"categories":3040},[136],{"categories":3042},[76],{"categories":3044},[136],{"categories":3046},[270],{"categories":3048},[76],{"categories":3050},[76],{"categories":3052},[136],{"categories":3054},[119],{"categories":3056},[76],{"categories":3058},[1713],{"categories":3060},[],{"categories":3062},[124],{"categories":3064},[114],{"categories":3066},[76],{"categories":3068},[114],{"categories":3070},[76],{"categories":3072},[],{"categories":3074},[124],{"categories":3076},[76],{"categories":3078},[76],{"categories":3080},[3081],"AI Design Tooling",{"categories":3083},[204],{"categories":3085},[76],{"categories":3087},[76],{"categories":3089},[136],{"categories":3091},[204],{"categories":3093},[76],{"categories":3095},[136],{"categories":3097},[158],{"categories":3099},[127],{"categories":3101},[136],{"categories":3103},[76],{"categories":3105},[76],{"categories":3107},[76],{"categories":3109},[124],{"categories":3111},[76],{"categories":3113},[],{"categories":3115},[76],{"categories":3117},[76],{"categories":3119},[124],{"categories":3121},[76],{"categories":3123},[76],{"categories":3125},[76],{"categories":3127},[124],{"categories":3129},[],{"categories":3131},[124],{"categories":3133},[2962],{"categories":3135},[76],{"categories":3137},[76],{"categories":3139},[124],{"categories":3141},[124],{"categories":3143},[136],{"categories":3145},[136],{"categories":3147},[],{"categories":3149},[136],{"categories":3151},[76],{"categories":3153},[76],{"categories":3155},[124],{"categories":3157},[119],{"categories":3159},[76],{"categories":3161},[],{"categories":3163},[76],{"categories":3165},[76],{"categories":3167},[2118],{"categories":3169},[],{"categories":3171},[76],{"categories":3173},[76],{"categories":3175},[76],{"categories":3177},[76],{"categories":3179},[204],{"categories":3181},[76],{"categories":3183},[],{"categories":3185},[76],{"categories":3187},[76],{"categories":3189},[76],{"categories":3191},[233],{"categories":3193},[158],{"categories":3195},[76],{"categories":3197},[76],{"categories":3199},[1713],{"categories":3201},[114],{"categories":3203},[76],{"categories":3205},[76],{"categories":3207},[161],{"categories":3209},[76],{"categories":3211},[76],{"categories":3213},[158],{"categories":3215},[124],{"categories":3217},[],{"categories":3219},[76],{"categories":3221},[76],{"categories":3223},[204],{"categories":3225},[76],{"categories":3227},[233],{"categories":3229},[124],{"categories":3231},[76],{"categories":3233},[124],{"categories":3235},[],{"categories":3237},[],{"categories":3239},[],{"categories":3241},[114],{"categories":3243},[158],{"categories":3245},[124],{"categories":3247},[76],{"categories":3249},[76],{"categories":3251},[76],{"categories":3253},[76],{"categories":3255},[385],{"categories":3257},[204],{"categories":3259},[124],{"categories":3261},[76],{"categories":3263},[],{"categories":3265},[124],{"categories":3267},[124],{"categories":3269},[],{"categories":3271},[76],{"categories":3273},[124],{"categories":3275},[76],{"categories":3277},[],{"categories":3279},[76],{"categories":3281},[76],{"categories":3283},[76],{"categories":3285},[158],{"categories":3287},[204],{"categories":3289},[124],{"categories":3291},[204],{"categories":3293},[124],{"categories":3295},[76],{"categories":3297},[119],{"categories":3299},[],{"categories":3301},[],{"categories":3303},[76],{"categories":3305},[76],{"categories":3307},[114],{"categories":3309},[124],{"categories":3311},[158],{"categories":3313},[],{"categories":3315},[204],{"categories":3317},[],{"categories":3319},[136],{"categories":3321},[76],{"categories":3323},[136],{"categories":3325},[204],{"categories":3327},[136],{"categories":3329},[76],{"categories":3331},[],{"categories":3333},[76],{"categories":3335},[76],{"categories":3337},[],{"categories":3339},[76],{"categories":3341},[233],{"categories":3343},[76],{"categories":3345},[270],{"categories":3347},[136],{"categories":3349},[76],{"categories":3351},[],{"categories":3353},[124],{"categories":3355},[76],{"categories":3357},[114],{"categories":3359},[496],{"categories":3361},[76],{"categories":3363},[124],{"categories":3365},[76],{"categories":3367},[124],{"categories":3369},[76],{"categories":3371},[76],{"categories":3373},[76],{"categories":3375},[76],{"categories":3377},[],{"categories":3379},[76],{"categories":3381},[114],{"categories":3383},[76],{"categories":3385},[119],{"categories":3387},[136],{"categories":3389},[204],{"categories":3391},[],{"categories":3393},[76],{"categories":3395},[],{"categories":3397},[],{"categories":3399},[124],{"categories":3401},[76],{"categories":3403},[136],{"categories":3405},[204],{"categories":3407},[158],{"categories":3409},[76],{"categories":3411},[158],{"categories":3413},[124],{"categories":3415},[204],{"categories":3417},[76],{"categories":3419},[],{"categories":3421},[76],{"categories":3423},[147],{"categories":3425},[124],{"categories":3427},[76],{"categories":3429},[204],{"categories":3431},[158],{"categories":3433},[119],{"categories":3435},[136],{"categories":3437},[76],{"categories":3439},[76],{"categories":3441},[158],{"categories":3443},[233],{"categories":3445},[],{"categories":3447},[],{"categories":3449},[161],{"categories":3451},[441],{"categories":3453},[76],{"categories":3455},[124],{"categories":3457},[76,136],{"categories":3459},[158],{"categories":3461},[76],{"categories":3463},[76],{"categories":3465},[76],{"categories":3467},[76],{"categories":3469},[76],{"categories":3471},[124],{"categories":3473},[76],{"categories":3475},[124],{"categories":3477},[76],{"categories":3479},[76],{"categories":3481},[76],{"categories":3483},[],{"categories":3485},[76],{"categories":3487},[1177],{"categories":3489},[136],{"categories":3491},[204],{"categories":3493},[76],{"categories":3495},[76],{"categories":3497},[76],{"categories":3499},[161],{"categories":3501},[124],{"categories":3503},[233],{"categories":3505},[270],{"categories":3507},[],{"categories":3509},[76],{"categories":3511},[119],{"categories":3513},[124],{"categories":3515},[114],{"categories":3517},[124],{"categories":3519},[76],{"categories":3521},[124],{"categories":3523},[124],{"categories":3525},[127],{"categories":3527},[136],{"categories":3529},[76],{"categories":3531},[76],{"categories":3533},[],{"categories":3535},[],{"categories":3537},[],{"categories":3539},[270],{"categories":3541},[76],{"categories":3543},[158],{"categories":3545},[76],{"categories":3547},[76],{"categories":3549},[76],{"categories":3551},[76],{"categories":3553},[],{"categories":3555},[76],{"categories":3557},[161],{"categories":3559},[119],{"categories":3561},[124],{"categories":3563},[76],{"categories":3565},[],{"categories":3567},[76],{"categories":3569},[124],{"categories":3571},[76],{"categories":3573},[270],{"categories":3575},[],{"categories":3577},[204],{"categories":3579},[204],{"categories":3581},[76],{"categories":3583},[],{"categories":3585},[136],{"categories":3587},[76],{"categories":3589},[204],{"categories":3591},[76],{"categories":3593},[119],{"categories":3595},[124],{"categories":3597},[76],{"categories":3599},[],{"categories":3601},[158],{"categories":3603},[76],{"categories":3605},[76],{"categories":3607},[76],{"categories":3609},[204],{"categories":3611},[124],{"categories":3613},[158],{"categories":3615},[],{"categories":3617},[124],{"categories":3619},[119],{"categories":3621},[124],{"categories":3623},[204],{"categories":3625},[76],{"categories":3627},[76],{"categories":3629},[76],{"categories":3631},[441],{"categories":3633},[76],{"categories":3635},[124],{"categories":3637},[],{"categories":3639},[76],{"categories":3641},[76],{"categories":3643},[270],{"categories":3645},[158],{"categories":3647},[161],{"categories":3649},[534],{"categories":3651},[161],{"categories":3653},[76],{"categories":3655},[],{"categories":3657},[],{"categories":3659},[],{"categories":3661},[124],{"categories":3663},[124],{"categories":3665},[124],{"categories":3667},[136],{"categories":3669},[76],{"categories":3671},[418],{"categories":3673},[136],{"categories":3675},[76],{"categories":3677},[76],{"categories":3679},[76],{"categories":3681},[76],{"categories":3683},[124],{"categories":3685},[],{"categories":3687},[],{"categories":3689},[76],{"categories":3691},[],{"categories":3693},[76],{"categories":3695},[124],{"categories":3697},[204],{"categories":3699},[76],{"categories":3701},[76],{"categories":3703},[],{"categories":3705},[124],{"categories":3707},[76],{"categories":3709},[127],{"categories":3711},[76],{"categories":3713},[204],{"categories":3715},[76],{"categories":3717},[124],{"categories":3719},[119],{"categories":3721},[76],{"categories":3723},[233],{"categories":3725},[124],{"categories":3727},[76],{"categories":3729},[76],{"categories":3731},[838],{"categories":3733},[76],{"categories":3735},[124],{"categories":3737},[76],{"categories":3739},[136],{"categories":3741},[76],{"categories":3743},[496],{"categories":3745},[204],{"categories":3747},[],{"categories":3749},[76],{"categories":3751},[76],{"categories":3753},[158],{"categories":3755},[441],{"categories":3757},[124],{"categories":3759},[76],{"categories":3761},[],{"categories":3763},[158],{"categories":3765},[362],{"categories":3767},[124],{"categories":3769},[124],{"categories":3771},[124],{"categories":3773},[76],{"categories":3775},[76],{"categories":3777},[124],{"categories":3779},[],{"categories":3781},[119],{"categories":3783},[76],{"categories":3785},[119],{"categories":3787},[124],{"categories":3789},[],{"categories":3791},[136],{"categories":3793},[76],{"categories":3795},[76],{"categories":3797},[114],{"categories":3799},[158],{"categories":3801},[270],{"categories":3803},[147],{"categories":3805},[124],{"categories":3807},[124],{"categories":3809},[76],{"categories":3811},[124],{"categories":3813},[76],{"categories":3815},[114],{"categories":3817},[],{"categories":3819},[76],{"categories":3821},[76],{"categories":3823},[76],{"categories":3825},[124],{"categories":3827},[76],{"categories":3829},[],{"categories":3831},[76],{"categories":3833},[],{"categories":3835},[204],{"categories":3837},[124],{"categories":3839},[76,119],{"categories":3841},[124],{"categories":3843},[76],{"categories":3845},[],{"categories":3847},[114],{"categories":3849},[161],{"categories":3851},[119],{"categories":3853},[76],{"categories":3855},[136],{"categories":3857},[76],{"categories":3859},[76],{"categories":3861},[124],{"categories":3863},[76],{"categories":3865},[76],{"categories":3867},[76],{"categories":3869},[158],{"categories":3871},[1177],{"categories":3873},[124],{"categories":3875},[76],{"categories":3877},[],{"categories":3879},[],{"categories":3881},[76],{"categories":3883},[124],{"categories":3885},[76],{"categories":3887},[76],{"categories":3889},[270],{"categories":3891},[],{"categories":3893},[76],{"categories":3895},[124],{"categories":3897},[147],{"categories":3899},[124],{"categories":3901},[441],{"categories":3903},[],{"categories":3905},[385],{"categories":3907},[124],{"categories":3909},[76],{"categories":3911},[233],{"categories":3913},[124],{"categories":3915},[76],{"categories":3917},[161],{"categories":3919},[127],{"categories":3921},[124],{"categories":3923},[76],{"categories":3925},[441],{"categories":3927},[76],{"categories":3929},[270],{"categories":3931},[],{"categories":3933},[76],{"categories":3935},[233],{"categories":3937},[204],{"categories":3939},[76],{"categories":3941},[76],{"categories":3943},[76],{"categories":3945},[],{"categories":3947},[233],{"categories":3949},[158],{"categories":3951},[76],{"categories":3953},[76],{"categories":3955},[76],{"categories":3957},[534],{"categories":3959},[114],{"categories":3961},[76],{"categories":3963},[76],{"categories":3965},[],{"categories":3967},[],{"categories":3969},[204],{"categories":3971},[76],{"categories":3973},[161],{"categories":3975},[233],{"categories":3977},[124],{"categories":3979},[76],{"categories":3981},[76],{"categories":3983},[233],{"categories":3985},[158],{"categories":3987},[],{"categories":3989},[76],{"categories":3991},[76],{"categories":3993},[],{"categories":3995},[76],{"categories":3997},[76],{"categories":3999},[559],{"categories":4001},[76],{"categories":4003},[76],{"categories":4005},[124],{"categories":4007},[136],{"categories":4009},[441],{"categories":4011},[76],{"categories":4013},[76],{"categories":4015},[76],{"categories":4017},[],{"categories":4019},[76,136],{"categories":4021},[158],{"categories":4023},[124],{"categories":4025},[136],{"categories":4027},[124],{"categories":4029},[874],{"categories":4031},[136],{"categories":4033},[136],{"categories":4035},[124],{"categories":4037},[76],{"categories":4039},[114],{"categories":4041},[],{"categories":4043},[],{"categories":4045},[124],{"categories":4047},[76],{"categories":4049},[136],{"categories":4051},[76],{"categories":4053},[114],{"categories":4055},[136],{"categories":4057},[136],{"categories":4059},[76],{"categories":4061},[233],{"categories":4063},[76],{"categories":4065},[136],{"categories":4067},[76],{"categories":4069},[],{"categories":4071},[76],{"categories":4073},[204,76],{"categories":4075},[270],{"categories":4077},[114],{"categories":4079},[76],{"categories":4081},[],{"categories":4083},[76],{"categories":4085},[76],{"categories":4087},[119],{"categories":4089},[76],{"categories":4091},[119],{"categories":4093},[76],{"categories":4095},[76],{"categories":4097},[362],{"categories":4099},[76],{"categories":4101},[119],{"categories":4103},[136],{"categories":4105},[161],{"categories":4107},[124],{"categories":4109},[136],{"categories":4111},[76],{"categories":4113},[76],{"categories":4115},[158],{"categories":4117},[233],{"categories":4119},[204],{"categories":4121},[76],{"categories":4123},[76],{"categories":4125},[76],{"categories":4127},[76],{"categories":4129},[114],{"categories":4131},[76],{"categories":4133},[124],{"categories":4135},[124],{"categories":4137},[136],{"categories":4139},[158],{"categories":4141},[136],{"categories":4143},[136],{"categories":4145},[76],{"categories":4147},[76],{"categories":4149},[],{"categories":4151},[],{"categories":4153},[161],{"categories":4155},[76],{"categories":4157},[136],{"categories":4159},[76],{"categories":4161},[204],{"categories":4163},[441],{"categories":4165},[385],{"categories":4167},[362],{"categories":4169},[76],{"categories":4171},[76],{"categories":4173},[76],{"categories":4175},[161],{"categories":4177},[76],{"categories":4179},[76],{"categories":4181},[76],{"categories":4183},[76],{"categories":4185},[76],{"categories":4187},[76],{"categories":4189},[124],{"categories":4191},[114],{"categories":4193},[124],{"categories":4195},[76,119],{"categories":4197},[],{"categories":4199},[204],{"categories":4201},[],{"categories":4203},[127],{"categories":4205},[76],{"categories":4207},[158],{"categories":4209},[114],{"categories":4211},[76],{"categories":4213},[114],{"categories":4215},[124],{"categories":4217},[161],{"categories":4219},[124],{"categories":4221},[124],{"categories":4223},[76],{"categories":4225},[76],{"categories":4227},[119],{"categories":4229},[124],{"categories":4231},[136],{"categories":4233},[233],{"categories":4235},[76],{"categories":4237},[],{"categories":4239},[158],{"categories":4241},[76],{"categories":4243},[76],{"categories":4245},[76],{"categories":4247},[76],{"categories":4249},[76],{"categories":4251},[76],{"categories":4253},[136],{"categories":4255},[158],{"categories":4257},[136],{"categories":4259},[136],{"categories":4261},[76],{"categories":4263},[76],{"categories":4265},[76],{"categories":4267},[76],{"categories":4269},[385],{"categories":4271},[76],{"categories":4273},[124],{"categories":4275},[158],{"categories":4277},[76],{"categories":4279},[76],{"categories":4281},[76],{"categories":4283},[124],{"categories":4285},[76],{"categories":4287},[76],{"categories":4289},[76],{"categories":4291},[2962],{"categories":4293},[4294],"Clinical AI",{"categories":4296},[204],{"categories":4298},[76],{"categories":4300},[76],{"categories":4302},[76],{"categories":4304},[76],{"categories":4306},[270],{"categories":4308},[2355],{"categories":4310},[76],{"categories":4312},[127],{"categories":4314},[76],{"categories":4316},[124],{"categories":4318},[76],{"categories":4320},[76],{"categories":4322},[158],{"categories":4324},[76],{"categories":4326},[124],{"categories":4328},[136],{"categories":4330},[233],{"categories":4332},[76],{"categories":4334},[76],{"categories":4336},[119],{"categories":4338},[76],{"categories":4340},[76],{"categories":4342},[496],{"categories":4344},[76],{"categories":4346},[],{"categories":4348},[76],{"categories":4350},[136],{"categories":4352},[114],{"categories":4354},[76],{"categories":4356},[],{"categories":4358},[],{"categories":4360},[76],{"categories":4362},[],{"categories":4364},[119],{"categories":4366},[76],{"categories":4368},[76],{"categories":4370},[124],{"categories":4372},[158],{"categories":4374},[158],{"categories":4376},[158],{"categories":4378},[158],{"categories":4380},[],{"categories":4382},[114],{"categories":4384},[124],{"categories":4386},[158],{"categories":4388},[76],{"categories":4390},[559],{"categories":4392},[127],{"categories":4394},[76],{"categories":4396},[114],{"categories":4398},[76],{"categories":4400},[124],{"categories":4402},[76],{"categories":4404},[76],{"categories":4406},[76,124],{"categories":4408},[124],{"categories":4410},[270],{"categories":4412},[158],{"categories":4414},[124],{"categories":4416},[158],{"categories":4418},[124],{"categories":4420},[76],{"categories":4422},[],{"categories":4424},[158],{"categories":4426},[233],{"categories":4428},[114],{"categories":4430},[76],{"categories":4432},[76],{"categories":4434},[],{"categories":4436},[136],{"categories":4438},[],{"categories":4440},[114],{"categories":4442},[124],{"categories":4444},[158],{"categories":4446},[76],{"categories":4448},[158],{"categories":4450},[114],{"categories":4452},[158],{"categories":4454},[158],{"categories":4456},[],{"categories":4458},[119],{"categories":4460},[124],{"categories":4462},[158],{"categories":4464},[158],{"categories":4466},[158],{"categories":4468},[158],{"categories":4470},[158],{"categories":4472},[158],{"categories":4474},[158],{"categories":4476},[158],{"categories":4478},[158],{"categories":4480},[158],{"categories":4482},[161],{"categories":4484},[114],{"categories":4486},[76],{"categories":4488},[76],{"categories":4490},[124],{"categories":4492},[124],{"categories":4494},[],{"categories":4496},[76],{"categories":4498},[76,114],{"categories":4500},[],{"categories":4502},[124],{"categories":4504},[76],{"categories":4506},[158],{"categories":4508},[124],{"categories":4510},[874],{"categories":4512},[76],{"categories":4514},[76],{"categories":4516},[76],{"categories":4518},[76],{"categories":4520},[76],{"categories":4522},[362],{"categories":4524},[76],{"categories":4526},[76],{"categories":4528},[124],{"categories":4530},[76],{"categories":4532},[119],{"categories":4534},[127],{"categories":4536},[124],{"categories":4538},[124],{"categories":4540},[],{"categories":4542},[124],{"categories":4544},[204],{"categories":4546},[158],{"categories":4548},[76],{"categories":4550},[],{"categories":4552},[127],{"categories":4554},[],{"categories":4556},[136],{"categories":4558},[124],{"categories":4560},[204],{"categories":4562},[76],{"categories":4564},[],{"categories":4566},[76],{"categories":4568},[],{"categories":4570},[233],{"categories":4572},[76],{"categories":4574},[],{"categories":4576},[],{"categories":4578},[158],{"categories":4580},[114],{"categories":4582},[76],{"categories":4584},[76],{"categories":4586},[119],{"categories":4588},[76],{"categories":4590},[76],{"categories":4592},[76],{"categories":4594},[119],{"categories":4596},[119],{"categories":4598},[204],{"categories":4600},[],{"categories":4602},[76],{"categories":4604},[158],{"categories":4606},[],{"categories":4608},[76],{"categories":4610},[76],{"categories":4612},[204],{"categories":4614},[76],{"categories":4616},[76],{"categories":4618},[233],{"categories":4620},[76],{"categories":4622},[270],{"categories":4624},[],{"categories":4626},[124],{"categories":4628},[233],{"categories":4630},[136],{"categories":4632},[],{"categories":4634},[76],{"categories":4636},[],{"categories":4638},[124],{"categories":4640},[204],{"categories":4642},[136],{"categories":4644},[],{"categories":4646},[2962],{"categories":4648},[119],{"categories":4650},[114],{"categories":4652},[76],{"categories":4654},[161],{"categories":4656},[124],{"categories":4658},[204],{"categories":4660},[136],{"categories":4662},[],{"categories":4664},[],{"categories":4666},[76],{"categories":4668},[114],{"categories":4670},[76],{"categories":4672},[233],{"categories":4674},[],{"categories":4676},[124],{"categories":4678},[124],{"categories":4680},[76],{"categories":4682},[124],{"categories":4684},[76],{"categories":4686},[158],{"categories":4688},[136],{"categories":4690},[76],{"categories":4692},[124],{"categories":4694},[127],{"categories":4696},[76],{"categories":4698},[76],{"categories":4700},[124],{"categories":4702},[76],{"categories":4704},[127],{"categories":4706},[233],{"categories":4708},[158],{"categories":4710},[],{"categories":4712},[233],{"categories":4714},[76],{"categories":4716},[],{"categories":4718},[136],{"categories":4720},[124],{"categories":4722},[],{"categories":4724},[76],{"categories":4726},[76],{"categories":4728},[76],{"categories":4730},[76],{"categories":4732},[76],{"categories":4734},[124],{"categories":4736},[119],{"categories":4738},[114],{"categories":4740},[124],{"categories":4742},[76],{"categories":4744},[204],{"categories":4746},[136],{"categories":4748},[136],{"categories":4750},[76],{"categories":4752},[161],{"categories":4754},[124],{"categories":4756},[76],{"categories":4758},[76],{"categories":4760},[124],{"categories":4762},[76],{"categories":4764},[119],{"categories":4766},[204],{"categories":4768},[136],{"categories":4770},[124],{"categories":4772},[76],{"categories":4774},[127],{"categories":4776},[76],{"categories":4778},[124],{"categories":4780},[76],{"categories":4782},[76],{"categories":4784},[158],{"categories":4786},[76],{"categories":4788},[],{"categories":4790},[114],{"categories":4792},[76],{"categories":4794},[76],{"categories":4796},[76],{"categories":4798},[136],{"categories":4800},[136],{"categories":4802},[76],{"categories":4804},[136],{"categories":4806},[76],{"categories":4808},[124],{"categories":4810},[76],{"categories":4812},[76],{"categories":4814},[76],{"categories":4816},[76],{"categories":4818},[76],{"categories":4820},[],{"categories":4822},[76],{"categories":4824},[204],{"categories":4826},[124],{"categories":4828},[119],{"categories":4830},[158],{"categories":4832},[76],{"categories":4834},[124],{"categories":4836},[76],{"categories":4838},[124],{"categories":4840},[76],{"categories":4842},[76],{"categories":4844},[204],{"categories":4846},[124],{"categories":4848},[76],{"categories":4850},[233],{"categories":4852},[76],{"categories":4854},[161],{"categories":4856},[76],{"categories":4858},[76],{"categories":4860},[158],{"categories":4862},[76],{"categories":4864},[76],{"categories":4866},[76],{"categories":4868},[76],{"categories":4870},[124],{"categories":4872},[270],{"categories":4874},[76],{"categories":4876},[136],{"categories":4878},[124],{"categories":4880},[161],{"categories":4882},[],{"categories":4884},[124],{"categories":4886},[136],{"categories":4888},[76],{"categories":4890},[76],{"categories":4892},[2201],{"categories":4894},[204],{"categories":4896},[299],{"categories":4898},[76],{"categories":4900},[76],{"categories":4902},[76],{"categories":4904},[76],{"categories":4906},[114],{"categories":4908},[76],{"categories":4910},[76],{"categories":4912},[136],{"categories":4914},[119],{"categories":4916},[76],{"categories":4918},[136],{"categories":4920},[76],{"categories":4922},[],{"categories":4924},[124],{"categories":4926},[124],{"categories":4928},[76],{"categories":4930},[76],{"categories":4932},[161],{"categories":4934},[],{"categories":4936},[158],{"categories":4938},[],{"categories":4940},[158],{"categories":4942},[76],{"categories":4944},[76],{"categories":4946},[124],{"categories":4948},[76],{"categories":4950},[124],{"categories":4952},[124],{"categories":4954},[],{"categories":4956},[76],{"categories":4958},[158],{"categories":4960},[76],{"categories":4962},[],{"categories":4964},[76],{"categories":4966},[76],{"categories":4968},[],{"categories":4970},[76],{"categories":4972},[204],{"categories":4974},[136],{"categories":4976},[124],{"categories":4978},[76],{"categories":4980},[76],{"categories":4982},[76],{"categories":4984},[76],{"categories":4986},[233],{"categories":4988},[76],{"categories":4990},[76],{"categories":4992},[76],{"categories":4994},[114],{"categories":4996},[76],{"categories":4998},[76],{"categories":5000},[],{"categories":5002},[76],{"categories":5004},[76],{"categories":5006},[76],{"categories":5008},[],{"categories":5010},[114],{"categories":5012},[76],{"categories":5014},[76],{"categories":5016},[158],{"categories":5018},[136],{"categories":5020},[127],{"categories":5022},[441],{"categories":5024},[76],{"categories":5026},[76],{"categories":5028},[76],{"categories":5030},[136],{"categories":5032},[158],{"categories":5034},[204],{"categories":5036},[76],{"categories":5038},[76],{"categories":5040},[76],{"categories":5042},[76],{"categories":5044},[158],{"categories":5046},[204],{"categories":5048},[76],{"categories":5050},[76],{"categories":5052},[158],{"categories":5054},[204],{"categories":5056},[76],{"categories":5058},[158],{"categories":5060},[76],{"categories":5062},[124],{"categories":5064},[124],{"categories":5066},[124],{"categories":5068},[136],{"categories":5070},[158],{"categories":5072},[124],{"categories":5074},[124],{"categories":5076},[76],{"categories":5078},[136],{"categories":5080},[204],{"categories":5082},[76],{"categories":5084},[76],{"categories":5086},[76],{"categories":5088},[],{"categories":5090},[124],{"categories":5092},[],{"categories":5094},[76],{"categories":5096},[76],{"categories":5098},[],{"categories":5100},[],{"categories":5102},[124],{"categories":5104},[119],{"categories":5106},[124],{"categories":5108},[5109],"Liability & Ethics",{"categories":5111},[76],{"categories":5113},[76],{"categories":5115},[124],{"categories":5117},[114],{"categories":5119},[124],{"categories":5121},[119],{"categories":5123},[233],{"categories":5125},[124],{"categories":5127},[76],{"categories":5129},[76],{"categories":5131},[],{"categories":5133},[534],{"categories":5135},[124],{"categories":5137},[],{"categories":5139},[76],{"categories":5141},[114],{"categories":5143},[124],{"categories":5145},[],{"categories":5147},[124],{"categories":5149},[76],{"categories":5151},[76],{"categories":5153},[136],{"categories":5155},[76],{"categories":5157},[158],{"categories":5159},[76],{"categories":5161},[76],{"categories":5163},[124],{"categories":5165},[76],{"categories":5167},[76],{"categories":5169},[76],{"categories":5171},[158],{"categories":5173},[124],{"categories":5175},[136],{"categories":5177},[204],{"categories":5179},[114],{"categories":5181},[76],{"categories":5183},[76],{"categories":5185},[],{"categories":5187},[124],{"categories":5189},[124],{"categories":5191},[124],{"categories":5193},[441],{"categories":5195},[204],{"categories":5197},[124],{"categories":5199},[270],{"categories":5201},[136],{"categories":5203},[158],{"categories":5205},[76],{"categories":5207},[204],{"categories":5209},[76],{"categories":5211},[114],{"categories":5213},[],{"categories":5215},[124],{"categories":5217},[76],{"categories":5219},[76],{"categories":5221},[76],{"categories":5223},[76],{"categories":5225},[124],{"categories":5227},[76],{"categories":5229},[76],{"categories":5231},[204],{"categories":5233},[],{"categories":5235},[124],{"categories":5237},[127],{"categories":5239},[158],{"categories":5241},[124],{"categories":5243},[119],{"categories":5245},[],{"categories":5247},[76],{"categories":5249},[76],{"categories":5251},[127],{"categories":5253},[76],{"categories":5255},[124],{"categories":5257},[158],{"categories":5259},[114],{"categories":5261},[270],{"categories":5263},[76],{"categories":5265},[76],{"categories":5267},[76],{"categories":5269},[158],{"categories":5271},[119],{"categories":5273},[76],{"categories":5275},[204],{"categories":5277},[158],{"categories":5279},[270],{"categories":5281},[76],{"categories":5283},[124],{"categories":5285},[],{"categories":5287},[496],{"categories":5289},[],{"categories":5291},[76],{"categories":5293},[270],{"categories":5295},[76],{"categories":5297},[161],{"categories":5299},[76],{"categories":5301},[124],{"categories":5303},[124],{"categories":5305},[5306],"Design News & Tools",{"categories":5308},[76],{"categories":5310},[158],{"categories":5312},[76],{"categories":5314},[76],{"categories":5316},[114],{"categories":5318},[76],{"categories":5320},[204],{"categories":5322},[124],{"categories":5324},[124],{"categories":5326},[204],{"categories":5328},[76],{"categories":5330},[441],{"categories":5332},[124],{"categories":5334},[76],{"categories":5336},[76],{"categories":5338},[441],{"categories":5340},[76],{"categories":5342},[233],{"categories":5344},[76],{"categories":5346},[124],{"categories":5348},[],{"categories":5350},[76],{"categories":5352},[76],{"categories":5354},[76],{"categories":5356},[158],{"categories":5358},[114],{"categories":5360},[],{"categories":5362},[76],{"categories":5364},[76],{"categories":5366},[76],{"categories":5368},[136],{"categories":5370},[559],{"categories":5372},[136],{"categories":5374},[204],{"categories":5376},[76],{"categories":5378},[76,124],{"categories":5380},[233,119],{"categories":5382},[136],{"categories":5384},[76],{"categories":5386},[76],{"categories":5388},[76],{"categories":5390},[76],{"categories":5392},[],{"categories":5394},[124],{"categories":5396},[76],{"categories":5398},[],{"categories":5400},[76],{"categories":5402},[136],{"categories":5404},[76],{"categories":5406},[136],{"categories":5408},[],{"categories":5410},[124],{"categories":5412},[76],{"categories":5414},[119],{"categories":5416},[76],{"categories":5418},[158],{"categories":5420},[76],{"categories":5422},[],{"categories":5424},[124],{"categories":5426},[76],{"categories":5428},[],{"categories":5430},[204],{"categories":5432},[76],{"categories":5434},[76],{"categories":5436},[124],{"categories":5438},[76],{"categories":5440},[76],{"categories":5442},[114],{"categories":5444},[124],{"categories":5446},[76],{"categories":5448},[],{"categories":5450},[76],{"categories":5452},[270],{"categories":5454},[233],{"categories":5456},[119],{"categories":5458},[119],{"categories":5460},[76],{"categories":5462},[114],{"categories":5464},[114],{"categories":5466},[76],{"categories":5468},[124],{"categories":5470},[76],{"categories":5472},[76],{"categories":5474},[76],{"categories":5476},[76],{"categories":5478},[136],{"categories":5480},[76],{"categories":5482},[114],{"categories":5484},[76],{"categories":5486},[124],{"categories":5488},[76],{"categories":5490},[233],{"categories":5492},[76],{"categories":5494},[158],{"categories":5496},[76],{"categories":5498},[76],{"categories":5500},[124],{"categories":5502},[76],{"categories":5504},[76],{"categories":5506},[124],{"categories":5508},[],{"categories":5510},[136],{"categories":5512},[],{"categories":5514},[136],{"categories":5516},[124],{"categories":5518},[114],{"categories":5520},[],{"categories":5522},[161],{"categories":5524},[270],{"categories":5526},[76],{"categories":5528},[136],{"categories":5530},[76],{"categories":5532},[],{"categories":5534},[158],{"categories":5536},[124],{"categories":5538},[136],{"categories":5540},[204],{"categories":5542},[76],{"categories":5544},[76],{"categories":5546},[124],{"categories":5548},[136],{"categories":5550},[124],{"categories":5552},[158],{"categories":5554},[76],{"categories":5556},[127],{"categories":5558},[114],{"categories":5560},[127],{"categories":5562},[158],{"categories":5564},[76],{"categories":5566},[136],{"categories":5568},[76],{"categories":5570},[204],{"categories":5572},[119],{"categories":5574},[76],{"categories":5576},[76],{"categories":5578},[76],{"categories":5580},[76],{"categories":5582},[76],{"categories":5584},[76],{"categories":5586},[124],{"categories":5588},[76],{"categories":5590},[124],{"categories":5592},[76],{"categories":5594},[76],{"categories":5596},[114],{"categories":5598},[76],{"categories":5600},[124],{"categories":5602},[124],{"categories":5604},[204],{"categories":5606},[124],{"categories":5608},[124],{"categories":5610},[76],{"categories":5612},[114],{"categories":5614},[124],{"categories":5616},[204],{"categories":5618},[],{"categories":5620},[76],{"categories":5622},[161],{"categories":5624},[441],{"categories":5626},[76],{"categories":5628},[76],{"categories":5630},[76],{"categories":5632},[136],{"categories":5634},[76],{"categories":5636},[],{"categories":5638},[76],{"categories":5640},[124],{"categories":5642},[76],{"categories":5644},[233],{"categories":5646},[76],{"categories":5648},[136],{"categories":5650},[158],{"categories":5652},[124],{"categories":5654},[76],{"categories":5656},[233],{"categories":5658},[124],{"categories":5660},[119],{"categories":5662},[119],{"categories":5664},[76],{"categories":5666},[76],{"categories":5668},[76],{"categories":5670},[76],{"categories":5672},[76],{"categories":5674},[114],{"categories":5676},[],{"categories":5678},[76],{"categories":5680},[76],{"categories":5682},[124],{"categories":5684},[124],{"categories":5686},[76],{"categories":5688},[76],{"categories":5690},[76],{"categories":5692},[136],{"categories":5694},[],{"categories":5696},[114],{"categories":5698},[76],{"categories":5700},[76],{"categories":5702},[124],{"categories":5704},[124],{"categories":5706},[],{"categories":5708},[136],{"categories":5710},[136],{"categories":5712},[76],{"categories":5714},[233],{"categories":5716},[119],{"categories":5718},[204],{"categories":5720},[],{"categories":5722},[76],{"categories":5724},[124],{"categories":5726},[114],{"categories":5728},[76],{"categories":5730},[76],{"categories":5732},[136],{"categories":5734},[114],{"categories":5736},[76],{"categories":5738},[76],{"categories":5740},[158],{"categories":5742},[161],{"categories":5744},[158],{"categories":5746},[124],{"categories":5748},[76],{"categories":5750},[],{"categories":5752},[158],{"categories":5754},[124],{"categories":5756},[204],{"categories":5758},[161],{"categories":5760},[76],{"categories":5762},[76],{"categories":5764},[],{"categories":5766},[124],{"categories":5768},[124],{"categories":5770},[124],{"categories":5772},[2962],{"categories":5774},[158],{"categories":5776},[76],{"categories":5778},[136],{"categories":5780},[76],{"categories":5782},[76],{"categories":5784},[76],{"categories":5786},[76],{"categories":5788},[119],{"categories":5790},[76],{"categories":5792},[114],{"categories":5794},[1713],{"categories":5796},[270],{"categories":5798},[114],{"categories":5800},[],{"categories":5802},[76],{"categories":5804},[],{"categories":5806},[158],{"categories":5808},[124],{"categories":5810},[204],{"categories":5812},[76],{"categories":5814},[76],{"categories":5816},[158],{"categories":5818},[],{"categories":5820},[124],{"categories":5822},[124],{"categories":5824},[124],{"categories":5826},[],{"categories":5828},[76],{"categories":5830},[],{"categories":5832},[158],{"categories":5834},[114],{"categories":5836},[204],{"categories":5838},[76],{"categories":5840},[124],{"categories":5842},[158],{"categories":5844},[76],{"categories":5846},[158],{"categories":5848},[],{"categories":5850},[158],{"categories":5852},[114],{"categories":5854},[441],{"categories":5856},[124],{"categories":5858},[76],{"categories":5860},[],{"categories":5862},[136],{"categories":5864},[124],{"categories":5866},[127],{"categories":5868},[124],{"categories":5870},[114],{"categories":5872},[],{"categories":5874},[],{"categories":5876},[],{"categories":5878},[204],{"categories":5880},[124],{"categories":5882},[76],{"categories":5884},[76],{"categories":5886},[],{"categories":5888},[],{"categories":5890},[],{"categories":5892},[76],{"categories":5894},[204],{"categories":5896},[76],{"categories":5898},[],{"categories":5900},[124],{"categories":5902},[76],{"categories":5904},[76],{"categories":5906},[114],{"categories":5908},[],{"categories":5910},[],{"categories":5912},[76],{"categories":5914},[76],{"categories":5916},[124],{"categories":5918},[204],{"categories":5920},[76],{"categories":5922},[158],{"categories":5924},[],{"categories":5926},[76],{"categories":5928},[76],{"categories":5930},[233],{"categories":5932},[158],{"categories":5934},[233],{"categories":5936},[161],{"categories":5938},[76],{"categories":5940},[76],{"categories":5942},[],{"categories":5944},[],{"categories":5946},[124],{"categories":5948},[],{"categories":5950},[76],{"categories":5952},[441],{"categories":5954},[76],{"categories":5956},[76],{"categories":5958},[76],{"categories":5960},[76],{"categories":5962},[],{"categories":5964},[124],{"categories":5966},[76],{"categories":5968},[76],{"categories":5970},[],{"categories":5972},[124],{"categories":5974},[76],{"categories":5976},[158],{"categories":5978},[76],{"categories":5980},[233],{"categories":5982},[119],{"categories":5984},[76],{"categories":5986},[76],{"categories":5988},[124],{"categories":5990},[161],{"categories":5992},[124],{"categories":5994},[124],{"categories":5996},[],{"categories":5998},[124],{"categories":6000},[],{"categories":6002},[76],{"categories":6004},[],{"categories":6006},[158],{"categories":6008},[119],{"categories":6010},[],{"categories":6012},[76],{"categories":6014},[76],{"categories":6016},[],{"categories":6018},[204],{"categories":6020},[114],{"categories":6022},[],{"categories":6024},[119],{"categories":6026},[233],{"categories":6028},[76],{"categories":6030},[136],{"categories":6032},[114],{"categories":6034},[161],{"categories":6036},[119],{"categories":6038},[136],{"categories":6040},[124],{"categories":6042},[136],{"categories":6044},[],{"categories":6046},[76],{"categories":6048},[127],{"categories":6050},[76],{"categories":6052},[],{"categories":6054},[124],{"categories":6056},[114],{"categories":6058},[204],{"categories":6060},[76],{"categories":6062},[114],{"categories":6064},[124],{"categories":6066},[270],{"categories":6068},[76],{"categories":6070},[76],{"categories":6072},[76],{"categories":6074},[114],{"categories":6076},[161],{"categories":6078},[124],{"categories":6080},[],{"categories":6082},[76],{"categories":6084},[76],{"categories":6086},[76],{"categories":6088},[136],{"categories":6090},[124],{"categories":6092},[158],{"categories":6094},[136],{"categories":6096},[76],{"categories":6098},[127],{"categories":6100},[],{"categories":6102},[204],{"categories":6104},[136],{"categories":6106},[158],{"categories":6108},[114],{"categories":6110},[124],{"categories":6112},[76],{"categories":6114},[76],{"categories":6116},[124],{"categories":6118},[127],{"categories":6120},[76],{"categories":6122},[124],{"categories":6124},[76],{"categories":6126},[119],{"categories":6128},[124],{"categories":6130},[124,270],{"categories":6132},[76],{"categories":6134},[76],{"categories":6136},[124],{"categories":6138},[136],{"categories":6140},[76],{"categories":6142},[76],{"categories":6144},[161],{"categories":6146},[124],{"categories":6148},[233],{"categories":6150},[124],{"categories":6152},[119],{"categories":6154},[],{"categories":6156},[124],{"categories":6158},[76],{"categories":6160},[119],{"categories":6162},[],{"categories":6164},[],{"categories":6166},[136],{"categories":6168},[76],{"categories":6170},[76],{"categories":6172},[124],{"categories":6174},[161],{"categories":6176},[233],{"categories":6178},[76],{"categories":6180},[76],{"categories":6182},[76],{"categories":6184},[124],{"categories":6186},[],{"categories":6188},[124],{"categories":6190},[158],{"categories":6192},[124],{"categories":6194},[76],{"categories":6196},[],{"categories":6198},[158],{"categories":6200},[136],{"categories":6202},[2962],{"categories":6204},[114],{"categories":6206},[136],{"categories":6208},[76],{"categories":6210},[124],{"categories":6212},[76],{"categories":6214},[76],{"categories":6216},[233],{"categories":6218},[136],{"categories":6220},[],{"categories":6222},[158],{"categories":6224},[76],{"categories":6226},[],{"categories":6228},[124],{"categories":6230},[76],{"categories":6232},[76],{"categories":6234},[76],{"categories":6236},[76],{"categories":6238},[124],{"categories":6240},[76],{"categories":6242},[76],{"categories":6244},[76],{"categories":6246},[127],{"categories":6248},[76],{"categories":6250},[124],{"categories":6252},[76],{"categories":6254},[76],{"categories":6256},[76],{"categories":6258},[76],{"categories":6260},[76],{"categories":6262},[76],{"categories":6264},[76],{"categories":6266},[119],{"categories":6268},[],{"categories":6270},[127],{"categories":6272},[158],{"categories":6274},[124],{"categories":6276},[76],{"categories":6278},[136],{"categories":6280},[],{"categories":6282},[136],{"categories":6284},[136],{"categories":6286},[124],{"categories":6288},[136],{"categories":6290},[76],{"categories":6292},[76],{"categories":6294},[76],{"categories":6296},[124],{"categories":6298},[136],{"categories":6300},[76],{"categories":6302},[76],{"categories":6304},[76],{"categories":6306},[124],{"categories":6308},[158],{"categories":6310},[76],{"categories":6312},[76],{"categories":6314},[76],{"categories":6316},[119],{"categories":6318},[76],{"categories":6320},[124],{"categories":6322},[204],{"categories":6324},[],{"categories":6326},[76],{"categories":6328},[161],{"categories":6330},[124],{"categories":6332},[76],{"categories":6334},[76],{"categories":6336},[],{"categories":6338},[76],{"categories":6340},[76],{"categories":6342},[158],{"categories":6344},[76],{"categories":6346},[76],{"categories":6348},[124],{"categories":6350},[233],{"categories":6352},[],{"categories":6354},[],{"categories":6356},[136],{"categories":6358},[76],{"categories":6360},[76],{"categories":6362},[158],{"categories":6364},[76],{"categories":6366},[136],{"categories":6368},[158],{"categories":6370},[76],{"categories":6372},[76],{"categories":6374},[233],{"categories":6376},[161],{"categories":6378},[76],{"categories":6380},[76],{"categories":6382},[114],{"categories":6384},[124],{"categories":6386},[76],{"categories":6388},[76],{"categories":6390},[124],{"categories":6392},[124],{"categories":6394},[76],{"categories":6396},[119],{"categories":6398},[],{"categories":6400},[76],{"categories":6402},[161],{"categories":6404},[76],{"categories":6406},[],{"categories":6408},[158],{"categories":6410},[76],{"categories":6412},[124],{"categories":6414},[161],{"categories":6416},[76],{"categories":6418},[136],{"categories":6420},[136],{"categories":6422},[136],{"categories":6424},[124],{"categories":6426},[124],{"categories":6428},[76],{"categories":6430},[124],{"categories":6432},[76],{"categories":6434},[76],{"categories":6436},[204],{"categories":6438},[161],{"categories":6440},[161],{"categories":6442},[],{"categories":6444},[158],{"categories":6446},[76],{"categories":6448},[76],{"categories":6450},[136],{"categories":6452},[],{"categories":6454},[158],{"categories":6456},[158],{"categories":6458},[158],{"categories":6460},[],{"categories":6462},[124],{"categories":6464},[76],{"categories":6466},[],{"categories":6468},[114],{"categories":6470},[119],{"categories":6472},[],{"categories":6474},[76],{"categories":6476},[76],{"categories":6478},[],{"categories":6480},[136],{"categories":6482},[],{"categories":6484},[],{"categories":6486},[],{"categories":6488},[],{"categories":6490},[76],{"categories":6492},[158],{"categories":6494},[],{"categories":6496},[],{"categories":6498},[76],{"categories":6500},[76],{"categories":6502},[76],{"categories":6504},[161],{"categories":6506},[76],{"categories":6508},[161],{"categories":6510},[],{"categories":6512},[161],{"categories":6514},[161],{"categories":6516},[270],{"categories":6518},[124],{"categories":6520},[136],{"categories":6522},[],{"categories":6524},[],{"categories":6526},[161],{"categories":6528},[136],{"categories":6530},[136],{"categories":6532},[136],{"categories":6534},[],{"categories":6536},[114],{"categories":6538},[136],{"categories":6540},[136],{"categories":6542},[114],{"categories":6544},[136],{"categories":6546},[119],{"categories":6548},[136],{"categories":6550},[136],{"categories":6552},[136],{"categories":6554},[161],{"categories":6556},[158],{"categories":6558},[158],{"categories":6560},[76],{"categories":6562},[136],{"categories":6564},[161],{"categories":6566},[270],{"categories":6568},[161],{"categories":6570},[161],{"categories":6572},[161],{"categories":6574},[],{"categories":6576},[119],{"categories":6578},[],{"categories":6580},[270],{"categories":6582},[136],{"categories":6584},[136],{"categories":6586},[136],{"categories":6588},[124],{"categories":6590},[158,119],{"categories":6592},[161],{"categories":6594},[],{"categories":6596},[],{"categories":6598},[161],{"categories":6600},[],{"categories":6602},[161],{"categories":6604},[158],{"categories":6606},[124],{"categories":6608},[],{"categories":6610},[136],{"categories":6612},[76],{"categories":6614},[204],{"categories":6616},[],{"categories":6618},[76],{"categories":6620},[],{"categories":6622},[158],{"categories":6624},[114],{"categories":6626},[161],{"categories":6628},[],{"categories":6630},[136],{"categories":6632},[158],[6634,6712,6760,6807],{"id":6635,"title":6636,"ai":6637,"body":6642,"categories":6691,"created_at":77,"date_modified":77,"description":70,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":6692,"navigation":93,"path":6701,"published_at":6702,"question":77,"scraped_at":6702,"seo":6703,"sitemap":6704,"source_id":6705,"source_name":99,"source_type":100,"source_url":6696,"stem":6706,"tags":6707,"thumbnail_url":77,"tldr":6709,"tweet":77,"unknown_tags":6710,"__hash__":6711},"summaries\u002Fsummaries\u002Fc57f745b0ff49255-skill-improving-llm-logic-via-knowledge-guided-sel-summary.md","SKILL: Improving LLM Logic via Knowledge-Guided Self-Correction",{"provider":7,"model":8,"input_tokens":6638,"output_tokens":6639,"processing_time_ms":6640,"cost_usd":6641},4022,540,2622,0.0018155,{"type":14,"value":6643,"toc":6686},[6644,6648,6651,6655,6658,6679,6683],[17,6645,6647],{"id":6646},"the-logic-optimization-challenge","The Logic Optimization Challenge",[22,6649,6650],{},"Large Language Models (LLMs) often struggle with complex logic optimization tasks due to their tendency to hallucinate or follow flawed reasoning paths. The SKILL (Self-correcting Knowledge-guided Iterative Large Language Model) agent addresses these limitations by moving away from single-pass inference toward a structured, iterative loop that integrates external domain knowledge.",[17,6652,6654],{"id":6653},"the-skill-framework-architecture","The SKILL Framework Architecture",[22,6656,6657],{},"SKILL operates through a cyclical process designed to refine outputs before final delivery. The framework consists of three primary components:",[6659,6660,6661,6667,6673],"ol",{},[47,6662,6663,6666],{},[50,6664,6665],{},"Knowledge-Guided Retrieval",": Instead of relying solely on internal model weights, the agent queries external knowledge bases to ground its reasoning in verified facts or domain-specific logic rules. This reduces the reliance on the model's probabilistic memory, which is prone to error in highly technical domains.",[47,6668,6669,6672],{},[50,6670,6671],{},"Iterative Reasoning Loop",": The agent generates a candidate solution and then subjects it to a verification process. If the solution fails to meet predefined logic constraints, the agent does not simply retry; it analyzes the failure point.",[47,6674,6675,6678],{},[50,6676,6677],{},"Self-Correction Mechanism",": By identifying specific logical inconsistencies, the agent generates a critique of its previous output. This critique, combined with the retrieved knowledge, informs the next iteration. This feedback loop allows the model to systematically prune incorrect reasoning paths and converge on a valid solution.",[17,6680,6682],{"id":6681},"impact-on-performance","Impact on Performance",[22,6684,6685],{},"By decoupling the generation phase from the verification and correction phases, SKILL demonstrates significant improvements in tasks requiring strict adherence to logical constraints. The framework effectively mitigates the 'black box' nature of LLMs by forcing the model to justify its steps against external knowledge, making the resulting logic more robust and verifiable for complex optimization problems.",{"title":70,"searchDepth":71,"depth":71,"links":6687},[6688,6689,6690],{"id":6646,"depth":71,"text":6647},{"id":6653,"depth":71,"text":6654},{"id":6681,"depth":71,"text":6682},[76],{"content_references":6693,"triage":6698},[6694],{"type":83,"title":6695,"url":6696,"context":6697},"SKILL: Self-correcting Knowledge-guided Iterative Large Language Model Agent for Logic Optimization","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.14579","cited",{"relevance":90,"novelty":90,"quality":90,"actionability":89,"composite":6699,"reasoning":6700},3.8,"Category: AI & LLMs. The article discusses a novel framework (SKILL) that enhances LLM reasoning, addressing a specific pain point of hallucinations in AI outputs. While it provides insights into the framework's architecture and its iterative process, it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Fc57f745b0ff49255-skill-improving-llm-logic-via-knowledge-guided-sel-summary","2026-08-19 03:12:26",{"title":6636,"description":70},{"loc":6701},"c57f745b0ff49255","summaries\u002Fc57f745b0ff49255-skill-improving-llm-logic-via-knowledge-guided-sel-summary",[6708,104,103,105],"llm","SKILL is an iterative agent framework that enhances LLM reasoning in logic optimization tasks by combining external knowledge retrieval with a self-correction mechanism to reduce hallucinations and improve accuracy.",[],"zeqcnvSFxOqH-Z2EeQwtTObU2tNJLY2eYNbnUEnBYb0",{"id":6713,"title":6714,"ai":6715,"body":6720,"categories":6740,"created_at":77,"date_modified":77,"description":70,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":6741,"navigation":93,"path":6749,"published_at":6750,"question":77,"scraped_at":6750,"seo":6751,"sitemap":6752,"source_id":6753,"source_name":99,"source_type":100,"source_url":6746,"stem":6754,"tags":6755,"thumbnail_url":77,"tldr":6757,"tweet":77,"unknown_tags":6758,"__hash__":6759},"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":6716,"output_tokens":6717,"processing_time_ms":6718,"cost_usd":6719},4060,436,2274,0.001669,{"type":14,"value":6721,"toc":6736},[6722,6726,6729,6733],[17,6723,6725],{"id":6724},"evaluating-agentic-systems-without-ground-truth","Evaluating Agentic Systems Without Ground Truth",[22,6727,6728],{},"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.",[17,6730,6732],{"id":6731},"the-scaling-hypothesis-as-an-evaluation-framework","The Scaling Hypothesis as an Evaluation Framework",[22,6734,6735],{},"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":70,"searchDepth":71,"depth":71,"links":6737},[6738,6739],{"id":6724,"depth":71,"text":6725},{"id":6731,"depth":71,"text":6732},[76],{"content_references":6742,"triage":6747},[6743],{"type":83,"title":6744,"publisher":6745,"url":6746,"context":6697},"Evaluating Agentic Learning Harness Capabilities Without Labels via the Scaling Hypothesis","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13608",{"relevance":89,"novelty":90,"quality":90,"actionability":71,"composite":91,"reasoning":6748},"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","2026-08-18 03:10:23",{"title":6714,"description":70},{"loc":6749},"9539716443984dda","summaries\u002F9539716443984dda-evaluating-agentic-learning-without-labels-via-sca-summary",[103,104,105,6756],"ai-llms","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.",[6756],"BV4Qa4Q5QgC_bMKsLHVgKQyMVlOiSOnGLWPU6QJsoCs",{"id":6761,"title":6762,"ai":6763,"body":6768,"categories":6788,"created_at":77,"date_modified":77,"description":70,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":6789,"navigation":93,"path":6798,"published_at":6750,"question":77,"scraped_at":6750,"seo":6799,"sitemap":6800,"source_id":6801,"source_name":99,"source_type":100,"source_url":6793,"stem":6802,"tags":6803,"thumbnail_url":77,"tldr":6804,"tweet":77,"unknown_tags":6805,"__hash__":6806},"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":6764,"output_tokens":6765,"processing_time_ms":6766,"cost_usd":6767},3983,392,2347,0.00158375,{"type":14,"value":6769,"toc":6784},[6770,6774,6777,6781],[17,6771,6773],{"id":6772},"quantifying-agent-reliability","Quantifying Agent Reliability",[22,6775,6776],{},"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.",[17,6778,6780],{"id":6779},"the-challenge-of-behavioral-drift","The Challenge of Behavioral Drift",[22,6782,6783],{},"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":70,"searchDepth":71,"depth":71,"links":6785},[6786,6787],{"id":6772,"depth":71,"text":6773},{"id":6779,"depth":71,"text":6780},[76],{"content_references":6790,"triage":6794},[6791],{"type":83,"title":6792,"url":6793,"context":6697},"Measuring Cross-Task Behavioral Consistency in Language Model Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13598",{"relevance":6795,"novelty":90,"quality":90,"actionability":89,"composite":6796,"reasoning":6797},5,4.15,"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.","\u002Fsummaries\u002F980bbd430e1f258f-measuring-cross-task-behavioral-consistency-in-llm-summary",{"title":6762,"description":70},{"loc":6798},"980bbd430e1f258f","summaries\u002F980bbd430e1f258f-measuring-cross-task-behavioral-consistency-in-llm-summary",[104,105,103,6756],"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.",[6756],"NUHvELcll5axbXembKNVmhtg2EmIT9DBQ0_XIS4LIew",{"id":6808,"title":6809,"ai":6810,"body":6815,"categories":6866,"created_at":77,"date_modified":77,"description":70,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":6867,"navigation":93,"path":6871,"published_at":6872,"question":77,"scraped_at":6872,"seo":6873,"sitemap":6874,"source_id":6875,"source_name":99,"source_type":100,"source_url":6876,"stem":6877,"tags":6878,"thumbnail_url":77,"tldr":6879,"tweet":77,"unknown_tags":6880,"__hash__":6881},"summaries\u002Fsummaries\u002F2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary.md","Reducing Over-Crediting in LLM Agent Evaluation",{"provider":7,"model":8,"input_tokens":6811,"output_tokens":6812,"processing_time_ms":6813,"cost_usd":6814},4020,603,2724,0.0019095,{"type":14,"value":6816,"toc":6861},[6817,6821,6824,6828,6831,6834,6854,6858],[17,6818,6820],{"id":6819},"the-problem-over-crediting-in-llm-as-a-judge","The Problem: Over-Crediting in LLM-as-a-Judge",[22,6822,6823],{},"LLM-based evaluation (LLM-as-a-judge) has become the standard for assessing agentic workflows, but it is prone to significant bias. A primary issue is 'over-crediting,' where judge models tend to assign high scores to agent outputs that appear fluent or confident, even when they fail to meet specific task requirements or contain subtle errors. This behavior stems from the judge's tendency to prioritize stylistic coherence over functional correctness, leading to inflated performance metrics that do not reflect real-world utility.",[17,6825,6827],{"id":6826},"inducing-reward-free-rubrics-for-objective-assessment","Inducing Reward-Free Rubrics for Objective Assessment",[22,6829,6830],{},"To mitigate this bias, the authors propose a method for inducing reward-free judging rubrics. Instead of relying on a single scalar reward signal—which often conflates multiple dimensions of performance—this approach forces the judge to decompose the evaluation into specific, observable criteria.",[22,6832,6833],{},"By inducing these rubrics, the system shifts the evaluation paradigm from holistic 'gut-feeling' scoring to a structured, evidence-based assessment. The key mechanism involves:",[44,6835,6836,6842,6848],{},[47,6837,6838,6841],{},[50,6839,6840],{},"Decomposition:"," Breaking down complex agent tasks into discrete, verifiable sub-tasks or constraints.",[47,6843,6844,6847],{},[50,6845,6846],{},"Reward-Free Scoring:"," Eliminating the reliance on a singular reward score, which often encourages the judge to 'guess' what the user wants to hear, and instead requiring the judge to justify its assessment against the induced rubric.",[47,6849,6850,6853],{},[50,6851,6852],{},"Constraint-Based Verification:"," The rubric acts as a set of guardrails, forcing the judge to explicitly check for the presence or absence of specific functional elements in the agent's output.",[17,6855,6857],{"id":6856},"impact-on-evaluation-accuracy","Impact on Evaluation Accuracy",[22,6859,6860],{},"This approach significantly reduces the 'halo effect' where a well-written but incorrect response receives high marks. By forcing the judge to adhere to an induced rubric, the evaluation becomes more granular and reproducible. The research demonstrates that this method provides a more accurate reflection of agent capabilities, as it forces the judge to penalize failures in logic or constraint satisfaction that would otherwise be masked by the agent's persuasive tone. This leads to a more reliable feedback loop for developers, allowing for better identification of specific failure modes in agentic systems.",{"title":70,"searchDepth":71,"depth":71,"links":6862},[6863,6864,6865],{"id":6819,"depth":71,"text":6820},{"id":6826,"depth":71,"text":6827},{"id":6856,"depth":71,"text":6857},[76],{"content_references":6868,"triage":6869},[],{"relevance":90,"novelty":90,"quality":90,"actionability":89,"composite":6699,"reasoning":6870},"Category: AI & LLMs. The article addresses a specific pain point in LLM evaluation methods by proposing a structured approach to reduce bias in performance assessments, which is highly relevant for developers integrating AI into their products. It presents a novel method for improving evaluation accuracy, although it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary","2026-08-18 03:10:21",{"title":6809,"description":70},{"loc":6871},"2a126068ed5ab49f","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13564","summaries\u002F2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary",[6708,104,105,103],"Current LLM-based evaluation methods often suffer from 'over-crediting,' where judges inflate scores for mediocre agent performance. This research proposes inducing reward-free rubrics to provide more objective, granular, and accurate performance assessments.",[],"_hbmkEDPRICuyq586Kc3IsT819er32N4vUCtsXHG9Jk"]