[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-fd55b43218dd4f5c-hg-rag-improving-knowledge-graph-retrieval-with-hi-summary":3,"summaries-facets-categories":81,"summary-related-fd55b43218dd4f5c-hg-rag-improving-knowledge-graph-retrieval-with-hi-summary":6499},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":64,"path":65,"published_at":66,"question":48,"scraped_at":66,"seo":67,"sitemap":68,"source_id":69,"source_name":70,"source_type":71,"source_url":56,"stem":72,"tags":73,"thumbnail_url":48,"tldr":78,"tweet":48,"unknown_tags":79,"__hash__":80},"summaries\u002Fsummaries\u002Ffd55b43218dd4f5c-hg-rag-improving-knowledge-graph-retrieval-with-hi-summary.md","HG-RAG: Improving Knowledge Graph Retrieval with Hierarchical Guidance",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4008,466,4218,0.001701,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"the-problem-with-flat-knowledge-retrieval","The Problem with Flat Knowledge Retrieval",[22,23,24],"p",{},"Standard Retrieval-Augmented Generation (RAG) systems often struggle when querying structured knowledge graphs (KGs). Traditional methods frequently treat graph data as flat text or simple triples, which ignores the inherent hierarchical relationships that define complex domains. This leads to \"context noise,\" where the LLM receives irrelevant nodes or misses the broader structural context necessary to answer nuanced questions accurately.",[17,26,28],{"id":27},"the-hg-rag-approach","The HG-RAG Approach",[22,30,31],{},"Hierarchy-Guided RAG (HG-RAG) addresses this by explicitly incorporating the hierarchical topology of knowledge graphs into the retrieval process. Instead of performing a flat search, the system traverses the graph based on parent-child or category-subclass relationships. By prioritizing nodes that exist at higher levels of abstraction, the model can first establish the \"scope\" of the query before drilling down into specific leaf nodes. This ensures that the retrieved context is not only semantically relevant but also structurally coherent.",[17,33,35],{"id":34},"impact-on-llm-reasoning","Impact on LLM Reasoning",[22,37,38],{},"By providing the LLM with a structured hierarchy rather than a bag of nodes, HG-RAG reduces the cognitive load on the model. The hierarchy acts as a roadmap, allowing the LLM to better understand the relationships between entities. This approach significantly improves performance in tasks requiring multi-hop reasoning or complex entity disambiguation, as the model can leverage the graph's taxonomy to validate its answers against the provided context.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI & LLMs",null,"md",false,{"content_references":52,"triage":58},[53],{"type":54,"title":55,"url":56,"context":57},"paper","HG-RAG: Hierarchy-Guided Retrieval-Augmented Generation for Structured Knowledge Graphs","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.14095","cited",{"relevance":59,"novelty":60,"quality":60,"actionability":61,"composite":62,"reasoning":63},5,4,3,4.15,"Category: AI & LLMs. The article discusses a novel approach to improving retrieval-augmented generation (RAG) systems by incorporating hierarchical structures in knowledge graphs, which directly addresses a pain point in AI engineering related to context relevance in LLM responses. While it presents new insights into the methodology, it lacks detailed actionable steps for implementation.",true,"\u002Fsummaries\u002Ffd55b43218dd4f5c-hg-rag-improving-knowledge-graph-retrieval-with-hi-summary","2026-07-17 18:01:10",{"title":5,"description":40},{"loc":65},"fd55b43218dd4f5c","arXiv cs.AI","article","summaries\u002Ffd55b43218dd4f5c-hg-rag-improving-knowledge-graph-retrieval-with-hi-summary",[74,75,76,77],"llm","machine-learning","research","rag","HG-RAG enhances retrieval-augmented generation by using hierarchical structures within knowledge graphs to improve context relevance and reduce noise in LLM responses.",[77],"UGmbGGlU-H027JlyJejpn7zVsJJvvzmPjidV5uSbbj0",[82,84,87,89,92,94,97,100,102,104,106,109,111,113,115,117,120,122,124,126,128,131,134,136,138,140,142,144,146,148,150,152,154,156,158,160,162,164,166,168,170,172,174,177,179,181,183,185,187,189,191,193,195,197,199,201,203,206,208,210,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,243,245,247,249,251,253,255,257,259,261,263,265,267,269,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,335,337,339,341,343,345,347,349,351,353,355,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,391,393,395,397,399,401,403,405,407,409,411,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,469,471,473,476,478,480,482,484,486,488,490,492,494,496,498,500,502,505,507,509,511,513,515,517,519,521,523,525,527,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,805,807,809,811,813,816,818,820,822,824,826,828,830,832,834,836,838,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497],{"categories":83},[47],{"categories":85},[86],"Developer Productivity",{"categories":88},[47],{"categories":90},[91],"Business & SaaS",{"categories":93},[47],{"categories":95},[96],"AI Automation",{"categories":98},[99],"Product Strategy",{"categories":101},[47],{"categories":103},[86],{"categories":105},[96],{"categories":107},[108],"Software Engineering",{"categories":110},[47],{"categories":112},[91],{"categories":114},[],{"categories":116},[47],{"categories":118},[119],"Inference & Serving",{"categories":121},[47],{"categories":123},[47],{"categories":125},[96],{"categories":127},[],{"categories":129},[130],"AI News & Trends",{"categories":132},[133],"Data Science & Visualization",{"categories":135},[96],{"categories":137},[47],{"categories":139},[47],{"categories":141},[91],{"categories":143},[86],{"categories":145},[47],{"categories":147},[96],{"categories":149},[130],{"categories":151},[96],{"categories":153},[96],{"categories":155},[47],{"categories":157},[96],{"categories":159},[47],{"categories":161},[47],{"categories":163},[47],{"categories":165},[130],{"categories":167},[47],{"categories":169},[47],{"categories":171},[47],{"categories":173},[],{"categories":175},[176],"Design & Frontend",{"categories":178},[133],{"categories":180},[130],{"categories":182},[47],{"categories":184},[47],{"categories":186},[47],{"categories":188},[],{"categories":190},[47],{"categories":192},[47],{"categories":194},[96],{"categories":196},[108],{"categories":198},[47],{"categories":200},[96],{"categories":202},[47],{"categories":204},[205],"Marketing & Growth",{"categories":207},[176],{"categories":209},[47],{"categories":211},[96],{"categories":213},[47],{"categories":215},[108],{"categories":217},[],{"categories":219},[],{"categories":221},[176],{"categories":223},[47],{"categories":225},[96],{"categories":227},[86],{"categories":229},[108],{"categories":231},[96],{"categories":233},[176],{"categories":235},[99],{"categories":237},[47],{"categories":239},[108],{"categories":241},[242],"DevOps & Cloud",{"categories":244},[96],{"categories":246},[99],{"categories":248},[130],{"categories":250},[47],{"categories":252},[],{"categories":254},[47],{"categories":256},[47],{"categories":258},[],{"categories":260},[96],{"categories":262},[108],{"categories":264},[],{"categories":266},[108],{"categories":268},[47],{"categories":270},[271],"Governance & Standards",{"categories":273},[91],{"categories":275},[],{"categories":277},[],{"categories":279},[47],{"categories":281},[47],{"categories":283},[96],{"categories":285},[47],{"categories":287},[47],{"categories":289},[96],{"categories":291},[47],{"categories":293},[47],{"categories":295},[47],{"categories":297},[],{"categories":299},[108],{"categories":301},[],{"categories":303},[],{"categories":305},[47],{"categories":307},[108],{"categories":309},[],{"categories":311},[108],{"categories":313},[47],{"categories":315},[47],{"categories":317},[205],{"categories":319},[47],{"categories":321},[47],{"categories":323},[176],{"categories":325},[176],{"categories":327},[47],{"categories":329},[108],{"categories":331},[96],{"categories":333},[334],"GovTech & Public-Sector Adoption",{"categories":336},[108],{"categories":338},[47],{"categories":340},[47],{"categories":342},[47],{"categories":344},[96],{"categories":346},[96],{"categories":348},[133],{"categories":350},[47],{"categories":352},[130],{"categories":354},[96],{"categories":356},[357],"Legal AI Tools",{"categories":359},[47],{"categories":361},[96],{"categories":363},[47],{"categories":365},[205],{"categories":367},[96],{"categories":369},[99],{"categories":371},[47],{"categories":373},[108],{"categories":375},[334],{"categories":377},[],{"categories":379},[96],{"categories":381},[],{"categories":383},[91],{"categories":385},[96],{"categories":387},[96],{"categories":389},[390],"RAG & Retrieval",{"categories":392},[91],{"categories":394},[47],{"categories":396},[108],{"categories":398},[108],{"categories":400},[242],{"categories":402},[176],{"categories":404},[96],{"categories":406},[47],{"categories":408},[47],{"categories":410},[],{"categories":412},[413],"Agents & Orchestration",{"categories":415},[108],{"categories":417},[47],{"categories":419},[],{"categories":421},[96],{"categories":423},[91],{"categories":425},[],{"categories":427},[47],{"categories":429},[],{"categories":431},[47],{"categories":433},[86],{"categories":435},[108],{"categories":437},[91],{"categories":439},[47],{"categories":441},[96],{"categories":443},[47],{"categories":445},[130],{"categories":447},[47],{"categories":449},[],{"categories":451},[47],{"categories":453},[],{"categories":455},[108],{"categories":457},[47],{"categories":459},[133],{"categories":461},[],{"categories":463},[47],{"categories":465},[176],{"categories":467},[468],"Models & Frontier Labs",{"categories":470},[],{"categories":472},[176],{"categories":474},[475],"Regulation & Governance of AI",{"categories":477},[96],{"categories":479},[],{"categories":481},[47],{"categories":483},[47],{"categories":485},[96],{"categories":487},[130],{"categories":489},[91],{"categories":491},[47],{"categories":493},[],{"categories":495},[108],{"categories":497},[96],{"categories":499},[47],{"categories":501},[99],{"categories":503},[504],"AI Policy & Regulation",{"categories":506},[],{"categories":508},[47],{"categories":510},[96],{"categories":512},[99],{"categories":514},[96],{"categories":516},[47],{"categories":518},[47],{"categories":520},[47],{"categories":522},[96],{"categories":524},[],{"categories":526},[133],{"categories":528},[529],"Evals & Reliability",{"categories":531},[47],{"categories":533},[47],{"categories":535},[],{"categories":537},[86],{"categories":539},[334],{"categories":541},[504],{"categories":543},[47],{"categories":545},[91],{"categories":547},[47],{"categories":549},[96],{"categories":551},[47],{"categories":553},[96],{"categories":555},[413],{"categories":557},[47],{"categories":559},[108],{"categories":561},[47],{"categories":563},[],{"categories":565},[],{"categories":567},[47],{"categories":569},[334],{"categories":571},[47],{"categories":573},[47],{"categories":575},[47],{"categories":577},[],{"categories":579},[176],{"categories":581},[],{"categories":583},[47],{"categories":585},[],{"categories":587},[96],{"categories":589},[47],{"categories":591},[176],{"categories":593},[],{"categories":595},[47],{"categories":597},[47],{"categories":599},[133],{"categories":601},[96],{"categories":603},[47],{"categories":605},[91],{"categories":607},[96],{"categories":609},[47],{"categories":611},[47],{"categories":613},[108],{"categories":615},[176],{"categories":617},[47],{"categories":619},[96],{"categories":621},[],{"categories":623},[108],{"categories":625},[96],{"categories":627},[133],{"categories":629},[],{"categories":631},[47],{"categories":633},[130],{"categories":635},[47],{"categories":637},[],{"categories":639},[47],{"categories":641},[47],{"categories":643},[47],{"categories":645},[91,205],{"categories":647},[],{"categories":649},[47],{"categories":651},[47],{"categories":653},[96],{"categories":655},[47],{"categories":657},[],{"categories":659},[],{"categories":661},[47],{"categories":663},[176],{"categories":665},[47],{"categories":667},[],{"categories":669},[47],{"categories":671},[242],{"categories":673},[],{"categories":675},[96],{"categories":677},[130],{"categories":679},[47],{"categories":681},[47],{"categories":683},[176],{"categories":685},[],{"categories":687},[130],{"categories":689},[47],{"categories":691},[119],{"categories":693},[47],{"categories":695},[47],{"categories":697},[96],{"categories":699},[130],{"categories":701},[468],{"categories":703},[47],{"categories":705},[205],{"categories":707},[],{"categories":709},[96],{"categories":711},[91],{"categories":713},[108],{"categories":715},[47],{"categories":717},[96],{"categories":719},[],{"categories":721},[47,242],{"categories":723},[47],{"categories":725},[47],{"categories":727},[47],{"categories":729},[96],{"categories":731},[47,108],{"categories":733},[133],{"categories":735},[47],{"categories":737},[47],{"categories":739},[108],{"categories":741},[47],{"categories":743},[96],{"categories":745},[504],{"categories":747},[205],{"categories":749},[47],{"categories":751},[96],{"categories":753},[47],{"categories":755},[47],{"categories":757},[96],{"categories":759},[],{"categories":761},[96],{"categories":763},[47],{"categories":765},[47],{"categories":767},[96],{"categories":769},[47],{"categories":771},[47,91],{"categories":773},[47],{"categories":775},[91],{"categories":777},[],{"categories":779},[176],{"categories":781},[176],{"categories":783},[47],{"categories":785},[],{"categories":787},[],{"categories":789},[47],{"categories":791},[130],{"categories":793},[],{"categories":795},[86],{"categories":797},[47],{"categories":799},[108],{"categories":801},[47],{"categories":803},[804],"Generative UI & Design-to-Code",{"categories":806},[47],{"categories":808},[47],{"categories":810},[176],{"categories":812},[47],{"categories":814},[815],"Algorithmic Accountability",{"categories":817},[96],{"categories":819},[108],{"categories":821},[130],{"categories":823},[176],{"categories":825},[47],{"categories":827},[],{"categories":829},[99],{"categories":831},[47],{"categories":833},[47],{"categories":835},[47],{"categories":837},[96],{"categories":839},[840],"MLOps & Infrastructure",{"categories":842},[47],{"categories":844},[47],{"categories":846},[47],{"categories":848},[47],{"categories":850},[47],{"categories":852},[130],{"categories":854},[99],{"categories":856},[86],{"categories":858},[47],{"categories":860},[96],{"categories":862},[242],{"categories":864},[47],{"categories":866},[91],{"categories":868},[47],{"categories":870},[176],{"categories":872},[47],{"categories":874},[47],{"categories":876},[96],{"categories":878},[],{"categories":880},[],{"categories":882},[47],{"categories":884},[119],{"categories":886},[176],{"categories":888},[130],{"categories":890},[133],{"categories":892},[],{"categories":894},[47],{"categories":896},[47],{"categories":898},[91],{"categories":900},[96],{"categories":902},[47],{"categories":904},[47],{"categories":906},[47],{"categories":908},[47],{"categories":910},[130],{"categories":912},[119],{"categories":914},[47],{"categories":916},[176],{"categories":918},[47],{"categories":920},[],{"categories":922},[96],{"categories":924},[108],{"categories":926},[],{"categories":928},[47],{"categories":930},[47],{"categories":932},[96],{"categories":934},[108],{"categories":936},[47],{"categories":938},[133],{"categories":940},[],{"categories":942},[47],{"categories":944},[],{"categories":946},[47],{"categories":948},[],{"categories":950},[99],{"categories":952},[91],{"categories":954},[96],{"categories":956},[96],{"categories":958},[],{"categories":960},[86],{"categories":962},[47],{"categories":964},[47],{"categories":966},[91],{"categories":968},[130],{"categories":970},[86],{"categories":972},[],{"categories":974},[47],{"categories":976},[],{"categories":978},[],{"categories":980},[130],{"categories":982},[130],{"categories":984},[],{"categories":986},[413],{"categories":988},[47],{"categories":990},[176],{"categories":992},[108],{"categories":994},[],{"categories":996},[357],{"categories":998},[96],{"categories":1000},[91],{"categories":1002},[],{"categories":1004},[],{"categories":1006},[86],{"categories":1008},[133],{"categories":1010},[],{"categories":1012},[205],{"categories":1014},[96],{"categories":1016},[91],{"categories":1018},[96],{"categories":1020},[91],{"categories":1022},[47],{"categories":1024},[108],{"categories":1026},[],{"categories":1028},[119],{"categories":1030},[99],{"categories":1032},[47],{"categories":1034},[176],{"categories":1036},[108],{"categories":1038},[91],{"categories":1040},[47],{"categories":1042},[96],{"categories":1044},[91],{"categories":1046},[47],{"categories":1048},[47],{"categories":1050},[47],{"categories":1052},[47],{"categories":1054},[47],{"categories":1056},[],{"categories":1058},[],{"categories":1060},[108],{"categories":1062},[133],{"categories":1064},[99],{"categories":1066},[47],{"categories":1068},[96],{"categories":1070},[108],{"categories":1072},[47],{"categories":1074},[],{"categories":1076},[130],{"categories":1078},[99],{"categories":1080},[108],{"categories":1082},[47],{"categories":1084},[529],{"categories":1086},[242],{"categories":1088},[],{"categories":1090},[96],{"categories":1092},[47],{"categories":1094},[],{"categories":1096},[86],{"categories":1098},[],{"categories":1100},[47],{"categories":1102},[47],{"categories":1104},[47],{"categories":1106},[176],{"categories":1108},[205],{"categories":1110},[47],{"categories":1112},[108],{"categories":1114},[47],{"categories":1116},[96],{"categories":1118},[],{"categories":1120},[108],{"categories":1122},[47],{"categories":1124},[86],{"categories":1126},[],{"categories":1128},[91],{"categories":1130},[47],{"categories":1132},[130],{"categories":1134},[47,242],{"categories":1136},[47],{"categories":1138},[1139],"Design Systems for AI",{"categories":1141},[47],{"categories":1143},[47],{"categories":1145},[130],{"categories":1147},[47],{"categories":1149},[47],{"categories":1151},[47],{"categories":1153},[91],{"categories":1155},[47],{"categories":1157},[47],{"categories":1159},[47],{"categories":1161},[],{"categories":1163},[47],{"categories":1165},[47],{"categories":1167},[91],{"categories":1169},[47],{"categories":1171},[],{"categories":1173},[96],{"categories":1175},[108],{"categories":1177},[130],{"categories":1179},[108],{"categories":1181},[47],{"categories":1183},[176],{"categories":1185},[130],{"categories":1187},[133],{"categories":1189},[47],{"categories":1191},[47],{"categories":1193},[96],{"categories":1195},[86],{"categories":1197},[504],{"categories":1199},[47],{"categories":1201},[96],{"categories":1203},[47],{"categories":1205},[108],{"categories":1207},[108],{"categories":1209},[],{"categories":1211},[],{"categories":1213},[96],{"categories":1215},[99],{"categories":1217},[],{"categories":1219},[91],{"categories":1221},[47],{"categories":1223},[],{"categories":1225},[176],{"categories":1227},[96],{"categories":1229},[108],{"categories":1231},[176],{"categories":1233},[47],{"categories":1235},[47],{"categories":1237},[176],{"categories":1239},[],{"categories":1241},[],{"categories":1243},[130],{"categories":1245},[96],{"categories":1247},[96],{"categories":1249},[47],{"categories":1251},[47],{"categories":1253},[47],{"categories":1255},[47],{"categories":1257},[91],{"categories":1259},[47],{"categories":1261},[47],{"categories":1263},[],{"categories":1265},[108],{"categories":1267},[108],{"categories":1269},[47],{"categories":1271},[108],{"categories":1273},[91],{"categories":1275},[],{"categories":1277},[47],{"categories":1279},[47],{"categories":1281},[47],{"categories":1283},[47],{"categories":1285},[47],{"categories":1287},[96],{"categories":1289},[86],{"categories":1291},[91],{"categories":1293},[47],{"categories":1295},[96],{"categories":1297},[130],{"categories":1299},[96],{"categories":1301},[119],{"categories":1303},[205],{"categories":1305},[47],{"categories":1307},[96],{"categories":1309},[47],{"categories":1311},[47],{"categories":1313},[],{"categories":1315},[176],{"categories":1317},[],{"categories":1319},[47],{"categories":1321},[47],{"categories":1323},[],{"categories":1325},[108],{"categories":1327},[91],{"categories":1329},[1330],"Visual & Generative Media",{"categories":1332},[96],{"categories":1334},[],{"categories":1336},[47],{"categories":1338},[47],{"categories":1340},[108],{"categories":1342},[242],{"categories":1344},[133],{"categories":1346},[504],{"categories":1348},[108],{"categories":1350},[205],{"categories":1352},[47],{"categories":1354},[176],{"categories":1356},[47],{"categories":1358},[47],{"categories":1360},[108],{"categories":1362},[96],{"categories":1364},[47],{"categories":1366},[],{"categories":1368},[],{"categories":1370},[96],{"categories":1372},[108],{"categories":1374},[86],{"categories":1376},[96],{"categories":1378},[468],{"categories":1380},[47],{"categories":1382},[99],{"categories":1384},[47],{"categories":1386},[91],{"categories":1388},[],{"categories":1390},[47],{"categories":1392},[99],{"categories":1394},[47],{"categories":1396},[47],{"categories":1398},[47],{"categories":1400},[99],{"categories":1402},[47],{"categories":1404},[47],{"categories":1406},[205],{"categories":1408},[47],{"categories":1410},[413],{"categories":1412},[47],{"categories":1414},[96],{"categories":1416},[47],{"categories":1418},[47],{"categories":1420},[47],{"categories":1422},[47],{"categories":1424},[176],{"categories":1426},[96],{"categories":1428},[],{"categories":1430},[96],{"categories":1432},[],{"categories":1434},[242],{"categories":1436},[108],{"categories":1438},[],{"categories":1440},[468],{"categories":1442},[47],{"categories":1444},[96],{"categories":1446},[47],{"categories":1448},[176,47],{"categories":1450},[86],{"categories":1452},[47],{"categories":1454},[176],{"categories":1456},[],{"categories":1458},[47],{"categories":1460},[86],{"categories":1462},[1463],"Medical Imaging & Radiology",{"categories":1465},[47],{"categories":1467},[176],{"categories":1469},[96],{"categories":1471},[108],{"categories":1473},[],{"categories":1475},[47],{"categories":1477},[47],{"categories":1479},[47],{"categories":1481},[],{"categories":1483},[],{"categories":1485},[47],{"categories":1487},[413],{"categories":1489},[47],{"categories":1491},[86],{"categories":1493},[47],{"categories":1495},[47],{"categories":1497},[],{"categories":1499},[96],{"categories":1501},[47],{"categories":1503},[99],{"categories":1505},[108],{"categories":1507},[47],{"categories":1509},[413],{"categories":1511},[47],{"categories":1513},[96],{"categories":1515},[47],{"categories":1517},[47],{"categories":1519},[47],{"categories":1521},[176],{"categories":1523},[96],{"categories":1525},[242],{"categories":1527},[176],{"categories":1529},[91],{"categories":1531},[96],{"categories":1533},[130],{"categories":1535},[47],{"categories":1537},[47],{"categories":1539},[99],{"categories":1541},[47],{"categories":1543},[47],{"categories":1545},[47],{"categories":1547},[96],{"categories":1549},[108],{"categories":1551},[108],{"categories":1553},[47],{"categories":1555},[99],{"categories":1557},[],{"categories":1559},[130],{"categories":1561},[],{"categories":1563},[99],{"categories":1565},[96],{"categories":1567},[47],{"categories":1569},[96],{"categories":1571},[1139],{"categories":1573},[1139],{"categories":1575},[176],{"categories":1577},[47],{"categories":1579},[47],{"categories":1581},[96],{"categories":1583},[108],{"categories":1585},[176],{"categories":1587},[96],{"categories":1589},[130],{"categories":1591},[],{"categories":1593},[47],{"categories":1595},[],{"categories":1597},[47],{"categories":1599},[47],{"categories":1601},[47],{"categories":1603},[47],{"categories":1605},[96],{"categories":1607},[1608],"Contract Review & E-Discovery",{"categories":1610},[47],{"categories":1612},[176],{"categories":1614},[47],{"categories":1616},[86],{"categories":1618},[47],{"categories":1620},[130],{"categories":1622},[47],{"categories":1624},[47],{"categories":1626},[205],{"categories":1628},[108],{"categories":1630},[47],{"categories":1632},[47],{"categories":1634},[96],{"categories":1636},[96],{"categories":1638},[815],{"categories":1640},[47],{"categories":1642},[47],{"categories":1644},[96],{"categories":1646},[96],{"categories":1648},[47],{"categories":1650},[47],{"categories":1652},[96],{"categories":1654},[47],{"categories":1656},[47],{"categories":1658},[413],{"categories":1660},[390],{"categories":1662},[47],{"categories":1664},[96],{"categories":1666},[47],{"categories":1668},[1669],"Law-Firm Practice & Adoption",{"categories":1671},[47],{"categories":1673},[96],{"categories":1675},[176],{"categories":1677},[47],{"categories":1679},[47],{"categories":1681},[47],{"categories":1683},[],{"categories":1685},[],{"categories":1687},[108],{"categories":1689},[47],{"categories":1691},[],{"categories":1693},[96],{"categories":1695},[86],{"categories":1697},[242],{"categories":1699},[47],{"categories":1701},[],{"categories":1703},[86],{"categories":1705},[91],{"categories":1707},[47],{"categories":1709},[205],{"categories":1711},[],{"categories":1713},[91],{"categories":1715},[91],{"categories":1717},[],{"categories":1719},[47],{"categories":1721},[99],{"categories":1723},[47],{"categories":1725},[108],{"categories":1727},[],{"categories":1729},[],{"categories":1731},[],{"categories":1733},[],{"categories":1735},[47],{"categories":1737},[96],{"categories":1739},[242],{"categories":1741},[47],{"categories":1743},[86],{"categories":1745},[108],{"categories":1747},[47],{"categories":1749},[47],{"categories":1751},[108],{"categories":1753},[99],{"categories":1755},[47],{"categories":1757},[47],{"categories":1759},[47],{"categories":1761},[840],{"categories":1763},[47],{"categories":1765},[47],{"categories":1767},[205],{"categories":1769},[108],{"categories":1771},[91],{"categories":1773},[47],{"categories":1775},[47],{"categories":1777},[176],{"categories":1779},[47],{"categories":1781},[47],{"categories":1783},[47],{"categories":1785},[47],{"categories":1787},[96],{"categories":1789},[47,86],{"categories":1791},[413],{"categories":1793},[47],{"categories":1795},[47],{"categories":1797},[108],{"categories":1799},[108],{"categories":1801},[176],{"categories":1803},[96],{"categories":1805},[108],{"categories":1807},[47],{"categories":1809},[47],{"categories":1811},[],{"categories":1813},[],{"categories":1815},[47],{"categories":1817},[96],{"categories":1819},[],{"categories":1821},[47],{"categories":1823},[108],{"categories":1825},[133],{"categories":1827},[130],{"categories":1829},[176],{"categories":1831},[47],{"categories":1833},[47],{"categories":1835},[108],{"categories":1837},[],{"categories":1839},[96],{"categories":1841},[47],{"categories":1843},[47],{"categories":1845},[47],{"categories":1847},[47],{"categories":1849},[],{"categories":1851},[96],{"categories":1853},[47],{"categories":1855},[47],{"categories":1857},[],{"categories":1859},[96],{"categories":1861},[47],{"categories":1863},[47],{"categories":1865},[91],{"categories":1867},[47],{"categories":1869},[47],{"categories":1871},[],{"categories":1873},[86],{"categories":1875},[47],{"categories":1877},[47],{"categories":1879},[176],{"categories":1881},[108],{"categories":1883},[47],{"categories":1885},[86],{"categories":1887},[47],{"categories":1889},[108],{"categories":1891},[205],{"categories":1893},[96],{"categories":1895},[96],{"categories":1897},[47],{"categories":1899},[47],{"categories":1901},[47,176],{"categories":1903},[47],{"categories":1905},[96],{"categories":1907},[130],{"categories":1909},[47],{"categories":1911},[130],{"categories":1913},[96],{"categories":1915},[176],{"categories":1917},[47],{"categories":1919},[],{"categories":1921},[108],{"categories":1923},[242],{"categories":1925},[176],{"categories":1927},[108],{"categories":1929},[47],{"categories":1931},[99],{"categories":1933},[47],{"categories":1935},[47],{"categories":1937},[96],{"categories":1939},[],{"categories":1941},[],{"categories":1943},[47],{"categories":1945},[],{"categories":1947},[],{"categories":1949},[99],{"categories":1951},[108],{"categories":1953},[47],{"categories":1955},[96],{"categories":1957},[96],{"categories":1959},[91],{"categories":1961},[96],{"categories":1963},[242],{"categories":1965},[47],{"categories":1967},[47],{"categories":1969},[47],{"categories":1971},[119],{"categories":1973},[47],{"categories":1975},[47],{"categories":1977},[108],{"categories":1979},[96],{"categories":1981},[47],{"categories":1983},[47],{"categories":1985},[357],{"categories":1987},[815],{"categories":1989},[],{"categories":1991},[176],{"categories":1993},[1669],{"categories":1995},[108],{"categories":1997},[],{"categories":1999},[],{"categories":2001},[96],{"categories":2003},[],{"categories":2005},[],{"categories":2007},[47],{"categories":2009},[205],{"categories":2011},[47],{"categories":2013},[205],{"categories":2015},[96],{"categories":2017},[47],{"categories":2019},[108],{"categories":2021},[99],{"categories":2023},[],{"categories":2025},[47],{"categories":2027},[47],{"categories":2029},[108],{"categories":2031},[1608],{"categories":2033},[176],{"categories":2035},[176],{"categories":2037},[47],{"categories":2039},[96],{"categories":2041},[86],{"categories":2043},[47],{"categories":2045},[47],{"categories":2047},[47],{"categories":2049},[176],{"categories":2051},[176],{"categories":2053},[96],{"categories":2055},[96],{"categories":2057},[96],{"categories":2059},[47],{"categories":2061},[47],{"categories":2063},[],{"categories":2065},[47],{"categories":2067},[],{"categories":2069},[2070],"Interaction & Product Design",{"categories":2072},[47],{"categories":2074},[96],{"categories":2076},[108],{"categories":2078},[271],{"categories":2080},[130],{"categories":2082},[108],{"categories":2084},[47],{"categories":2086},[47],{"categories":2088},[108],{"categories":2090},[86],{"categories":2092},[96],{"categories":2094},[47],{"categories":2096},[],{"categories":2098},[96],{"categories":2100},[96],{"categories":2102},[],{"categories":2104},[108],{"categories":2106},[47],{"categories":2108},[86],{"categories":2110},[2070],{"categories":2112},[47],{"categories":2114},[86],{"categories":2116},[86],{"categories":2118},[],{"categories":2120},[96],{"categories":2122},[108],{"categories":2124},[],{"categories":2126},[96],{"categories":2128},[130],{"categories":2130},[47],{"categories":2132},[96],{"categories":2134},[47],{"categories":2136},[96],{"categories":2138},[47],{"categories":2140},[47],{"categories":2142},[130],{"categories":2144},[133],{"categories":2146},[47],{"categories":2148},[99],{"categories":2150},[108],{"categories":2152},[2153],"Coding Agents & Dev Productivity",{"categories":2155},[130],{"categories":2157},[176],{"categories":2159},[47],{"categories":2161},[47],{"categories":2163},[],{"categories":2165},[47],{"categories":2167},[815],{"categories":2169},[],{"categories":2171},[47],{"categories":2173},[242],{"categories":2175},[47],{"categories":2177},[130],{"categories":2179},[],{"categories":2181},[],{"categories":2183},[47],{"categories":2185},[],{"categories":2187},[96],{"categories":2189},[47],{"categories":2191},[],{"categories":2193},[108],{"categories":2195},[108],{"categories":2197},[47],{"categories":2199},[133],{"categories":2201},[],{"categories":2203},[47],{"categories":2205},[47],{"categories":2207},[47],{"categories":2209},[133],{"categories":2211},[108],{"categories":2213},[96],{"categories":2215},[],{"categories":2217},[],{"categories":2219},[47],{"categories":2221},[47],{"categories":2223},[96],{"categories":2225},[96],{"categories":2227},[334],{"categories":2229},[108],{"categories":2231},[108],{"categories":2233},[96],{"categories":2235},[130],{"categories":2237},[130],{"categories":2239},[96],{"categories":2241},[96],{"categories":2243},[47],{"categories":2245},[86],{"categories":2247},[2070],{"categories":2249},[47,242],{"categories":2251},[133],{"categories":2253},[],{"categories":2255},[176],{"categories":2257},[108],{"categories":2259},[86],{"categories":2261},[47],{"categories":2263},[96],{"categories":2265},[2266],"The Designer's Role & Craft",{"categories":2268},[176],{"categories":2270},[],{"categories":2272},[96],{"categories":2274},[47],{"categories":2276},[96],{"categories":2278},[96],{"categories":2280},[47],{"categories":2282},[205],{"categories":2284},[47],{"categories":2286},[108],{"categories":2288},[47],{"categories":2290},[176],{"categories":2292},[47],{"categories":2294},[],{"categories":2296},[96],{"categories":2298},[176],{"categories":2300},[47],{"categories":2302},[47],{"categories":2304},[47],{"categories":2306},[2307],"AI UX Patterns",{"categories":2309},[96],{"categories":2311},[96],{"categories":2313},[96],{"categories":2315},[96],{"categories":2317},[205],{"categories":2319},[133],{"categories":2321},[47],{"categories":2323},[96],{"categories":2325},[47],{"categories":2327},[1139],{"categories":2329},[],{"categories":2331},[205],{"categories":2333},[96],{"categories":2335},[130],{"categories":2337},[108],{"categories":2339},[47],{"categories":2341},[96],{"categories":2343},[],{"categories":2345},[],{"categories":2347},[47],{"categories":2349},[96],{"categories":2351},[47],{"categories":2353},[96],{"categories":2355},[334],{"categories":2357},[176],{"categories":2359},[47],{"categories":2361},[130],{"categories":2363},[108],{"categories":2365},[47],{"categories":2367},[96],{"categories":2369},[96],{"categories":2371},[],{"categories":2373},[47],{"categories":2375},[],{"categories":2377},[],{"categories":2379},[47],{"categories":2381},[47],{"categories":2383},[47],{"categories":2385},[96],{"categories":2387},[108],{"categories":2389},[],{"categories":2391},[],{"categories":2393},[133],{"categories":2395},[119],{"categories":2397},[47],{"categories":2399},[47],{"categories":2401},[133],{"categories":2403},[47],{"categories":2405},[130],{"categories":2407},[47],{"categories":2409},[47],{"categories":2411},[47],{"categories":2413},[96],{"categories":2415},[47],{"categories":2417},[96],{"categories":2419},[47],{"categories":2421},[47],{"categories":2423},[96],{"categories":2425},[],{"categories":2427},[],{"categories":2429},[47],{"categories":2431},[242],{"categories":2433},[47],{"categories":2435},[],{"categories":2437},[],{"categories":2439},[176],{"categories":2441},[840],{"categories":2443},[96],{"categories":2445},[86],{"categories":2447},[2266],{"categories":2449},[],{"categories":2451},[],{"categories":2453},[47],{"categories":2455},[],{"categories":2457},[],{"categories":2459},[108],{"categories":2461},[130],{"categories":2463},[205],{"categories":2465},[91],{"categories":2467},[47],{"categories":2469},[47],{"categories":2471},[91],{"categories":2473},[],{"categories":2475},[176],{"categories":2477},[99],{"categories":2479},[47],{"categories":2481},[47],{"categories":2483},[96],{"categories":2485},[91],{"categories":2487},[47],{"categories":2489},[47],{"categories":2491},[86],{"categories":2493},[47],{"categories":2495},[],{"categories":2497},[86],{"categories":2499},[47],{"categories":2501},[205],{"categories":2503},[96],{"categories":2505},[130],{"categories":2507},[47],{"categories":2509},[108],{"categories":2511},[47],{"categories":2513},[47],{"categories":2515},[91],{"categories":2517},[47],{"categories":2519},[47],{"categories":2521},[47],{"categories":2523},[96],{"categories":2525},[],{"categories":2527},[47],{"categories":2529},[108],{"categories":2531},[86],{"categories":2533},[47],{"categories":2535},[47],{"categories":2537},[47],{"categories":2539},[],{"categories":2541},[47],{"categories":2543},[413],{"categories":2545},[96],{"categories":2547},[91],{"categories":2549},[130],{"categories":2551},[47],{"categories":2553},[47],{"categories":2555},[],{"categories":2557},[91],{"categories":2559},[91],{"categories":2561},[47],{"categories":2563},[47],{"categories":2565},[99],{"categories":2567},[47],{"categories":2569},[47],{"categories":2571},[47],{"categories":2573},[47],{"categories":2575},[108],{"categories":2577},[108],{"categories":2579},[47],{"categories":2581},[],{"categories":2583},[108],{"categories":2585},[47],{"categories":2587},[108],{"categories":2589},[96],{"categories":2591},[504],{"categories":2593},[],{"categories":2595},[],{"categories":2597},[47],{"categories":2599},[130],{"categories":2601},[],{"categories":2603},[242],{"categories":2605},[47],{"categories":2607},[47],{"categories":2609},[176],{"categories":2611},[804],{"categories":2613},[],{"categories":2615},[47],{"categories":2617},[47],{"categories":2619},[47],{"categories":2621},[108],{"categories":2623},[47],{"categories":2625},[47],{"categories":2627},[47,242],{"categories":2629},[47],{"categories":2631},[47],{"categories":2633},[176],{"categories":2635},[96],{"categories":2637},[],{"categories":2639},[96],{"categories":2641},[96],{"categories":2643},[47],{"categories":2645},[47],{"categories":2647},[47],{"categories":2649},[47],{"categories":2651},[133],{"categories":2653},[47],{"categories":2655},[2307],{"categories":2657},[86],{"categories":2659},[133],{"categories":2661},[86],{"categories":2663},[108],{"categories":2665},[176],{"categories":2667},[96],{"categories":2669},[47],{"categories":2671},[],{"categories":2673},[91],{"categories":2675},[47],{"categories":2677},[47],{"categories":2679},[130],{"categories":2681},[47],{"categories":2683},[47],{"categories":2685},[96],{"categories":2687},[47],{"categories":2689},[47],{"categories":2691},[47],{"categories":2693},[91],{"categories":2695},[],{"categories":2697},[242],{"categories":2699},[47],{"categories":2701},[334],{"categories":2703},[176],{"categories":2705},[176],{"categories":2707},[108],{"categories":2709},[96],{"categories":2711},[47],{"categories":2713},[91],{"categories":2715},[130],{"categories":2717},[47],{"categories":2719},[47],{"categories":2721},[176],{"categories":2723},[96],{"categories":2725},[96],{"categories":2727},[47],{"categories":2729},[47],{"categories":2731},[468],{"categories":2733},[],{"categories":2735},[47],{"categories":2737},[47],{"categories":2739},[47],{"categories":2741},[],{"categories":2743},[],{"categories":2745},[47],{"categories":2747},[47],{"categories":2749},[96],{"categories":2751},[47],{"categories":2753},[47],{"categories":2755},[47],{"categories":2757},[108],{"categories":2759},[47],{"categories":2761},[47],{"categories":2763},[96],{"categories":2765},[47],{"categories":2767},[47],{"categories":2769},[47],{"categories":2771},[47],{"categories":2773},[47],{"categories":2775},[],{"categories":2777},[108],{"categories":2779},[133],{"categories":2781},[47],{"categories":2783},[96],{"categories":2785},[47],{"categories":2787},[],{"categories":2789},[],{"categories":2791},[47],{"categories":2793},[47],{"categories":2795},[47],{"categories":2797},[130],{"categories":2799},[133],{"categories":2801},[],{"categories":2803},[47],{"categories":2805},[176],{"categories":2807},[47],{"categories":2809},[242],{"categories":2811},[1669],{"categories":2813},[130],{"categories":2815},[108],{"categories":2817},[108],{"categories":2819},[108],{"categories":2821},[47],{"categories":2823},[47],{"categories":2825},[130],{"categories":2827},[130],{"categories":2829},[242],{"categories":2831},[96],{"categories":2833},[],{"categories":2835},[130],{"categories":2837},[47],{"categories":2839},[86],{"categories":2841},[108],{"categories":2843},[47],{"categories":2845},[130],{"categories":2847},[],{"categories":2849},[47],{"categories":2851},[108],{"categories":2853},[108],{"categories":2855},[133],{"categories":2857},[47],{"categories":2859},[130],{"categories":2861},[47],{"categories":2863},[108],{"categories":2865},[96],{"categories":2867},[130],{"categories":2869},[96],{"categories":2871},[242],{"categories":2873},[96],{"categories":2875},[47],{"categories":2877},[47],{"categories":2879},[47],{"categories":2881},[47],{"categories":2883},[108],{"categories":2885},[47],{"categories":2887},[],{"categories":2889},[96],{"categories":2891},[91],{"categories":2893},[108],{"categories":2895},[],{"categories":2897},[],{"categories":2899},[47],{"categories":2901},[96],{"categories":2903},[47],{"categories":2905},[47],{"categories":2907},[2908],"Frameworks & Tooling",{"categories":2910},[47],{"categories":2912},[47],{"categories":2914},[108],{"categories":2916},[47],{"categories":2918},[47],{"categories":2920},[],{"categories":2922},[133],{"categories":2924},[133],{"categories":2926},[86],{"categories":2928},[47],{"categories":2930},[96],{"categories":2932},[47],{"categories":2934},[176],{"categories":2936},[],{"categories":2938},[1669],{"categories":2940},[47],{"categories":2942},[108],{"categories":2944},[47],{"categories":2946},[242],{"categories":2948},[242],{"categories":2950},[],{"categories":2952},[96],{"categories":2954},[47],{"categories":2956},[130],{"categories":2958},[130],{"categories":2960},[47],{"categories":2962},[96],{"categories":2964},[],{"categories":2966},[176],{"categories":2968},[47],{"categories":2970},[47],{"categories":2972},[],{"categories":2974},[47],{"categories":2976},[96],{"categories":2978},[47],{"categories":2980},[47],{"categories":2982},[],{"categories":2984},[108],{"categories":2986},[47],{"categories":2988},[108],{"categories":2990},[242],{"categories":2992},[47],{"categories":2994},[47],{"categories":2996},[108],{"categories":2998},[91],{"categories":3000},[47],{"categories":3002},[1669],{"categories":3004},[],{"categories":3006},[96],{"categories":3008},[86],{"categories":3010},[47],{"categories":3012},[86],{"categories":3014},[47],{"categories":3016},[],{"categories":3018},[96],{"categories":3020},[47],{"categories":3022},[3023],"AI Design Tooling",{"categories":3025},[176],{"categories":3027},[47],{"categories":3029},[47],{"categories":3031},[108],{"categories":3033},[176],{"categories":3035},[47],{"categories":3037},[108],{"categories":3039},[130],{"categories":3041},[99],{"categories":3043},[108],{"categories":3045},[47],{"categories":3047},[47],{"categories":3049},[96],{"categories":3051},[47],{"categories":3053},[],{"categories":3055},[47],{"categories":3057},[47],{"categories":3059},[96],{"categories":3061},[47],{"categories":3063},[47],{"categories":3065},[47],{"categories":3067},[96],{"categories":3069},[],{"categories":3071},[96],{"categories":3073},[2908],{"categories":3075},[47],{"categories":3077},[47],{"categories":3079},[96],{"categories":3081},[96],{"categories":3083},[108],{"categories":3085},[108],{"categories":3087},[],{"categories":3089},[108],{"categories":3091},[47],{"categories":3093},[47],{"categories":3095},[96],{"categories":3097},[91],{"categories":3099},[47],{"categories":3101},[],{"categories":3103},[47],{"categories":3105},[47],{"categories":3107},[2070],{"categories":3109},[],{"categories":3111},[47],{"categories":3113},[47],{"categories":3115},[47],{"categories":3117},[47],{"categories":3119},[176],{"categories":3121},[47],{"categories":3123},[],{"categories":3125},[47],{"categories":3127},[47],{"categories":3129},[47],{"categories":3131},[205],{"categories":3133},[130],{"categories":3135},[47],{"categories":3137},[47],{"categories":3139},[1669],{"categories":3141},[86],{"categories":3143},[47],{"categories":3145},[47],{"categories":3147},[133],{"categories":3149},[47],{"categories":3151},[47],{"categories":3153},[130],{"categories":3155},[96],{"categories":3157},[],{"categories":3159},[47],{"categories":3161},[47],{"categories":3163},[176],{"categories":3165},[47],{"categories":3167},[205],{"categories":3169},[96],{"categories":3171},[47],{"categories":3173},[96],{"categories":3175},[],{"categories":3177},[],{"categories":3179},[],{"categories":3181},[86],{"categories":3183},[130],{"categories":3185},[96],{"categories":3187},[47],{"categories":3189},[47],{"categories":3191},[47],{"categories":3193},[47],{"categories":3195},[357],{"categories":3197},[176],{"categories":3199},[96],{"categories":3201},[47],{"categories":3203},[],{"categories":3205},[96],{"categories":3207},[96],{"categories":3209},[],{"categories":3211},[47],{"categories":3213},[96],{"categories":3215},[47],{"categories":3217},[],{"categories":3219},[47],{"categories":3221},[47],{"categories":3223},[130],{"categories":3225},[176],{"categories":3227},[96],{"categories":3229},[176],{"categories":3231},[96],{"categories":3233},[47],{"categories":3235},[91],{"categories":3237},[],{"categories":3239},[],{"categories":3241},[47],{"categories":3243},[47],{"categories":3245},[86],{"categories":3247},[96],{"categories":3249},[130],{"categories":3251},[],{"categories":3253},[176],{"categories":3255},[],{"categories":3257},[108],{"categories":3259},[47],{"categories":3261},[108],{"categories":3263},[176],{"categories":3265},[108],{"categories":3267},[47],{"categories":3269},[],{"categories":3271},[47],{"categories":3273},[47],{"categories":3275},[],{"categories":3277},[47],{"categories":3279},[205],{"categories":3281},[47],{"categories":3283},[242],{"categories":3285},[108],{"categories":3287},[47],{"categories":3289},[],{"categories":3291},[96],{"categories":3293},[47],{"categories":3295},[86],{"categories":3297},[468],{"categories":3299},[47],{"categories":3301},[96],{"categories":3303},[47],{"categories":3305},[96],{"categories":3307},[47],{"categories":3309},[47],{"categories":3311},[47],{"categories":3313},[],{"categories":3315},[47],{"categories":3317},[86],{"categories":3319},[47],{"categories":3321},[91],{"categories":3323},[108],{"categories":3325},[176],{"categories":3327},[],{"categories":3329},[47],{"categories":3331},[],{"categories":3333},[],{"categories":3335},[96],{"categories":3337},[47],{"categories":3339},[108],{"categories":3341},[176],{"categories":3343},[130],{"categories":3345},[47],{"categories":3347},[130],{"categories":3349},[96],{"categories":3351},[176],{"categories":3353},[47],{"categories":3355},[],{"categories":3357},[47],{"categories":3359},[119],{"categories":3361},[96],{"categories":3363},[176],{"categories":3365},[130],{"categories":3367},[91],{"categories":3369},[108],{"categories":3371},[47],{"categories":3373},[47],{"categories":3375},[130],{"categories":3377},[205],{"categories":3379},[],{"categories":3381},[],{"categories":3383},[133],{"categories":3385},[413],{"categories":3387},[47],{"categories":3389},[96],{"categories":3391},[47,108],{"categories":3393},[130],{"categories":3395},[47],{"categories":3397},[47],{"categories":3399},[47],{"categories":3401},[47],{"categories":3403},[96],{"categories":3405},[47],{"categories":3407},[96],{"categories":3409},[47],{"categories":3411},[47],{"categories":3413},[47],{"categories":3415},[],{"categories":3417},[47],{"categories":3419},[1139],{"categories":3421},[108],{"categories":3423},[176],{"categories":3425},[47],{"categories":3427},[47],{"categories":3429},[47],{"categories":3431},[133],{"categories":3433},[96],{"categories":3435},[205],{"categories":3437},[242],{"categories":3439},[],{"categories":3441},[47],{"categories":3443},[91],{"categories":3445},[96],{"categories":3447},[86],{"categories":3449},[96],{"categories":3451},[47],{"categories":3453},[96],{"categories":3455},[96],{"categories":3457},[99],{"categories":3459},[108],{"categories":3461},[47],{"categories":3463},[47],{"categories":3465},[],{"categories":3467},[],{"categories":3469},[],{"categories":3471},[242],{"categories":3473},[47],{"categories":3475},[130],{"categories":3477},[47],{"categories":3479},[47],{"categories":3481},[47],{"categories":3483},[47],{"categories":3485},[],{"categories":3487},[47],{"categories":3489},[133],{"categories":3491},[91],{"categories":3493},[96],{"categories":3495},[47],{"categories":3497},[],{"categories":3499},[47],{"categories":3501},[96],{"categories":3503},[47],{"categories":3505},[242],{"categories":3507},[],{"categories":3509},[176],{"categories":3511},[176],{"categories":3513},[],{"categories":3515},[108],{"categories":3517},[47],{"categories":3519},[176],{"categories":3521},[47],{"categories":3523},[91],{"categories":3525},[96],{"categories":3527},[47],{"categories":3529},[],{"categories":3531},[130],{"categories":3533},[47],{"categories":3535},[47],{"categories":3537},[47],{"categories":3539},[176],{"categories":3541},[96],{"categories":3543},[130],{"categories":3545},[],{"categories":3547},[96],{"categories":3549},[91],{"categories":3551},[96],{"categories":3553},[176],{"categories":3555},[47],{"categories":3557},[47],{"categories":3559},[47],{"categories":3561},[413],{"categories":3563},[47],{"categories":3565},[],{"categories":3567},[47],{"categories":3569},[47],{"categories":3571},[242],{"categories":3573},[130],{"categories":3575},[133],{"categories":3577},[504],{"categories":3579},[133],{"categories":3581},[47],{"categories":3583},[],{"categories":3585},[],{"categories":3587},[],{"categories":3589},[96],{"categories":3591},[96],{"categories":3593},[108],{"categories":3595},[47],{"categories":3597},[390],{"categories":3599},[108],{"categories":3601},[47],{"categories":3603},[47],{"categories":3605},[47],{"categories":3607},[47],{"categories":3609},[96],{"categories":3611},[],{"categories":3613},[],{"categories":3615},[47],{"categories":3617},[],{"categories":3619},[47],{"categories":3621},[96],{"categories":3623},[176],{"categories":3625},[47],{"categories":3627},[47],{"categories":3629},[],{"categories":3631},[96],{"categories":3633},[99],{"categories":3635},[47],{"categories":3637},[176],{"categories":3639},[47],{"categories":3641},[96],{"categories":3643},[91],{"categories":3645},[47],{"categories":3647},[205],{"categories":3649},[96],{"categories":3651},[47],{"categories":3653},[47],{"categories":3655},[804],{"categories":3657},[47],{"categories":3659},[96],{"categories":3661},[47],{"categories":3663},[108],{"categories":3665},[47],{"categories":3667},[468],{"categories":3669},[176],{"categories":3671},[],{"categories":3673},[47],{"categories":3675},[130],{"categories":3677},[413],{"categories":3679},[96],{"categories":3681},[47],{"categories":3683},[],{"categories":3685},[130],{"categories":3687},[334],{"categories":3689},[96],{"categories":3691},[96],{"categories":3693},[96],{"categories":3695},[47],{"categories":3697},[47],{"categories":3699},[96],{"categories":3701},[],{"categories":3703},[91],{"categories":3705},[47],{"categories":3707},[91],{"categories":3709},[96],{"categories":3711},[],{"categories":3713},[108],{"categories":3715},[47],{"categories":3717},[47],{"categories":3719},[86],{"categories":3721},[130],{"categories":3723},[242],{"categories":3725},[119],{"categories":3727},[96],{"categories":3729},[96],{"categories":3731},[47],{"categories":3733},[96],{"categories":3735},[47],{"categories":3737},[86],{"categories":3739},[],{"categories":3741},[47],{"categories":3743},[47],{"categories":3745},[47],{"categories":3747},[96],{"categories":3749},[47],{"categories":3751},[],{"categories":3753},[],{"categories":3755},[176],{"categories":3757},[96],{"categories":3759},[47,91],{"categories":3761},[96],{"categories":3763},[47],{"categories":3765},[],{"categories":3767},[86],{"categories":3769},[133],{"categories":3771},[91],{"categories":3773},[47],{"categories":3775},[108],{"categories":3777},[47],{"categories":3779},[47],{"categories":3781},[96],{"categories":3783},[47],{"categories":3785},[47],{"categories":3787},[47],{"categories":3789},[130],{"categories":3791},[1139],{"categories":3793},[96],{"categories":3795},[47],{"categories":3797},[],{"categories":3799},[],{"categories":3801},[47],{"categories":3803},[96],{"categories":3805},[47],{"categories":3807},[47],{"categories":3809},[242],{"categories":3811},[],{"categories":3813},[47],{"categories":3815},[96],{"categories":3817},[119],{"categories":3819},[96],{"categories":3821},[413],{"categories":3823},[],{"categories":3825},[357],{"categories":3827},[96],{"categories":3829},[47],{"categories":3831},[205],{"categories":3833},[96],{"categories":3835},[47],{"categories":3837},[133],{"categories":3839},[99],{"categories":3841},[96],{"categories":3843},[47],{"categories":3845},[413],{"categories":3847},[47],{"categories":3849},[242],{"categories":3851},[],{"categories":3853},[47],{"categories":3855},[205],{"categories":3857},[176],{"categories":3859},[47],{"categories":3861},[47],{"categories":3863},[47],{"categories":3865},[],{"categories":3867},[205],{"categories":3869},[130],{"categories":3871},[47],{"categories":3873},[47],{"categories":3875},[47],{"categories":3877},[504],{"categories":3879},[86],{"categories":3881},[47],{"categories":3883},[47],{"categories":3885},[],{"categories":3887},[],{"categories":3889},[176],{"categories":3891},[47],{"categories":3893},[133],{"categories":3895},[205],{"categories":3897},[96],{"categories":3899},[47],{"categories":3901},[47],{"categories":3903},[205],{"categories":3905},[130],{"categories":3907},[],{"categories":3909},[47],{"categories":3911},[47],{"categories":3913},[],{"categories":3915},[47],{"categories":3917},[47],{"categories":3919},[529],{"categories":3921},[47],{"categories":3923},[47],{"categories":3925},[96],{"categories":3927},[108],{"categories":3929},[413],{"categories":3931},[47],{"categories":3933},[47],{"categories":3935},[47],{"categories":3937},[],{"categories":3939},[47,108],{"categories":3941},[130],{"categories":3943},[96],{"categories":3945},[108],{"categories":3947},[96],{"categories":3949},[840],{"categories":3951},[108],{"categories":3953},[96],{"categories":3955},[47],{"categories":3957},[86],{"categories":3959},[],{"categories":3961},[],{"categories":3963},[96],{"categories":3965},[47],{"categories":3967},[108],{"categories":3969},[47],{"categories":3971},[86],{"categories":3973},[108],{"categories":3975},[108],{"categories":3977},[47],{"categories":3979},[205],{"categories":3981},[47],{"categories":3983},[108],{"categories":3985},[47],{"categories":3987},[],{"categories":3989},[47],{"categories":3991},[176,47],{"categories":3993},[242],{"categories":3995},[86],{"categories":3997},[47],{"categories":3999},[],{"categories":4001},[47],{"categories":4003},[47],{"categories":4005},[91],{"categories":4007},[47],{"categories":4009},[91],{"categories":4011},[47],{"categories":4013},[47],{"categories":4015},[334],{"categories":4017},[47],{"categories":4019},[91],{"categories":4021},[108],{"categories":4023},[133],{"categories":4025},[96],{"categories":4027},[108],{"categories":4029},[47],{"categories":4031},[47],{"categories":4033},[130],{"categories":4035},[205],{"categories":4037},[176],{"categories":4039},[47],{"categories":4041},[47],{"categories":4043},[47],{"categories":4045},[47],{"categories":4047},[86],{"categories":4049},[47],{"categories":4051},[96],{"categories":4053},[96],{"categories":4055},[108],{"categories":4057},[130],{"categories":4059},[108],{"categories":4061},[108],{"categories":4063},[47],{"categories":4065},[47],{"categories":4067},[],{"categories":4069},[],{"categories":4071},[133],{"categories":4073},[47],{"categories":4075},[108],{"categories":4077},[47],{"categories":4079},[176],{"categories":4081},[413],{"categories":4083},[357],{"categories":4085},[334],{"categories":4087},[47],{"categories":4089},[47],{"categories":4091},[47],{"categories":4093},[133],{"categories":4095},[47],{"categories":4097},[47],{"categories":4099},[47],{"categories":4101},[47],{"categories":4103},[47],{"categories":4105},[47],{"categories":4107},[96],{"categories":4109},[86],{"categories":4111},[96],{"categories":4113},[47,91],{"categories":4115},[],{"categories":4117},[176],{"categories":4119},[],{"categories":4121},[99],{"categories":4123},[47],{"categories":4125},[130],{"categories":4127},[86],{"categories":4129},[47],{"categories":4131},[86],{"categories":4133},[96],{"categories":4135},[133],{"categories":4137},[96],{"categories":4139},[96],{"categories":4141},[47],{"categories":4143},[47],{"categories":4145},[91],{"categories":4147},[96],{"categories":4149},[108],{"categories":4151},[205],{"categories":4153},[47],{"categories":4155},[],{"categories":4157},[130],{"categories":4159},[47],{"categories":4161},[47],{"categories":4163},[47],{"categories":4165},[47],{"categories":4167},[47],{"categories":4169},[47],{"categories":4171},[108],{"categories":4173},[130],{"categories":4175},[108],{"categories":4177},[108],{"categories":4179},[47],{"categories":4181},[47],{"categories":4183},[47],{"categories":4185},[357],{"categories":4187},[47],{"categories":4189},[96],{"categories":4191},[130],{"categories":4193},[47],{"categories":4195},[47],{"categories":4197},[47],{"categories":4199},[96],{"categories":4201},[47],{"categories":4203},[47],{"categories":4205},[47],{"categories":4207},[2908],{"categories":4209},[4210],"Clinical AI",{"categories":4212},[176],{"categories":4214},[47],{"categories":4216},[47],{"categories":4218},[47],{"categories":4220},[242],{"categories":4222},[2307],{"categories":4224},[47],{"categories":4226},[99],{"categories":4228},[47],{"categories":4230},[96],{"categories":4232},[47],{"categories":4234},[47],{"categories":4236},[130],{"categories":4238},[47],{"categories":4240},[96],{"categories":4242},[108],{"categories":4244},[205],{"categories":4246},[47],{"categories":4248},[47],{"categories":4250},[91],{"categories":4252},[47],{"categories":4254},[47],{"categories":4256},[468],{"categories":4258},[47],{"categories":4260},[],{"categories":4262},[47],{"categories":4264},[108],{"categories":4266},[86],{"categories":4268},[47],{"categories":4270},[],{"categories":4272},[],{"categories":4274},[47],{"categories":4276},[],{"categories":4278},[91],{"categories":4280},[47],{"categories":4282},[47],{"categories":4284},[96],{"categories":4286},[130],{"categories":4288},[130],{"categories":4290},[130],{"categories":4292},[130],{"categories":4294},[],{"categories":4296},[86],{"categories":4298},[96],{"categories":4300},[130],{"categories":4302},[47],{"categories":4304},[529],{"categories":4306},[99],{"categories":4308},[47],{"categories":4310},[86],{"categories":4312},[47],{"categories":4314},[96],{"categories":4316},[47],{"categories":4318},[47],{"categories":4320},[47,96],{"categories":4322},[96],{"categories":4324},[242],{"categories":4326},[130],{"categories":4328},[96],{"categories":4330},[130],{"categories":4332},[96],{"categories":4334},[47],{"categories":4336},[],{"categories":4338},[130],{"categories":4340},[205],{"categories":4342},[86],{"categories":4344},[47],{"categories":4346},[47],{"categories":4348},[],{"categories":4350},[108],{"categories":4352},[],{"categories":4354},[86],{"categories":4356},[96],{"categories":4358},[130],{"categories":4360},[47],{"categories":4362},[130],{"categories":4364},[86],{"categories":4366},[130],{"categories":4368},[130],{"categories":4370},[],{"categories":4372},[91],{"categories":4374},[96],{"categories":4376},[130],{"categories":4378},[130],{"categories":4380},[130],{"categories":4382},[130],{"categories":4384},[130],{"categories":4386},[130],{"categories":4388},[130],{"categories":4390},[130],{"categories":4392},[130],{"categories":4394},[130],{"categories":4396},[133],{"categories":4398},[86],{"categories":4400},[47],{"categories":4402},[47],{"categories":4404},[96],{"categories":4406},[96],{"categories":4408},[],{"categories":4410},[47],{"categories":4412},[47,86],{"categories":4414},[],{"categories":4416},[96],{"categories":4418},[47],{"categories":4420},[130],{"categories":4422},[96],{"categories":4424},[840],{"categories":4426},[47],{"categories":4428},[47],{"categories":4430},[47],{"categories":4432},[47],{"categories":4434},[47],{"categories":4436},[334],{"categories":4438},[47],{"categories":4440},[47],{"categories":4442},[96],{"categories":4444},[47],{"categories":4446},[91],{"categories":4448},[99],{"categories":4450},[96],{"categories":4452},[96],{"categories":4454},[],{"categories":4456},[96],{"categories":4458},[176],{"categories":4460},[130],{"categories":4462},[47],{"categories":4464},[],{"categories":4466},[99],{"categories":4468},[],{"categories":4470},[108],{"categories":4472},[96],{"categories":4474},[176],{"categories":4476},[47],{"categories":4478},[],{"categories":4480},[47],{"categories":4482},[],{"categories":4484},[205],{"categories":4486},[47],{"categories":4488},[],{"categories":4490},[],{"categories":4492},[130],{"categories":4494},[86],{"categories":4496},[47],{"categories":4498},[47],{"categories":4500},[91],{"categories":4502},[47],{"categories":4504},[47],{"categories":4506},[47],{"categories":4508},[91],{"categories":4510},[91],{"categories":4512},[176],{"categories":4514},[],{"categories":4516},[47],{"categories":4518},[130],{"categories":4520},[],{"categories":4522},[47],{"categories":4524},[47],{"categories":4526},[176],{"categories":4528},[47],{"categories":4530},[205],{"categories":4532},[47],{"categories":4534},[242],{"categories":4536},[],{"categories":4538},[96],{"categories":4540},[205],{"categories":4542},[108],{"categories":4544},[],{"categories":4546},[47],{"categories":4548},[],{"categories":4550},[96],{"categories":4552},[176],{"categories":4554},[108],{"categories":4556},[],{"categories":4558},[2908],{"categories":4560},[91],{"categories":4562},[86],{"categories":4564},[47],{"categories":4566},[133],{"categories":4568},[96],{"categories":4570},[176],{"categories":4572},[108],{"categories":4574},[],{"categories":4576},[],{"categories":4578},[47],{"categories":4580},[86],{"categories":4582},[47],{"categories":4584},[205],{"categories":4586},[],{"categories":4588},[96],{"categories":4590},[96],{"categories":4592},[47],{"categories":4594},[96],{"categories":4596},[47],{"categories":4598},[130],{"categories":4600},[108],{"categories":4602},[47],{"categories":4604},[96],{"categories":4606},[99],{"categories":4608},[47],{"categories":4610},[47],{"categories":4612},[96],{"categories":4614},[47],{"categories":4616},[99],{"categories":4618},[205],{"categories":4620},[130],{"categories":4622},[],{"categories":4624},[205],{"categories":4626},[47],{"categories":4628},[],{"categories":4630},[108],{"categories":4632},[96],{"categories":4634},[],{"categories":4636},[47],{"categories":4638},[47],{"categories":4640},[47],{"categories":4642},[47],{"categories":4644},[47],{"categories":4646},[96],{"categories":4648},[91],{"categories":4650},[86],{"categories":4652},[47],{"categories":4654},[176],{"categories":4656},[108],{"categories":4658},[108],{"categories":4660},[47],{"categories":4662},[133],{"categories":4664},[96],{"categories":4666},[47],{"categories":4668},[47],{"categories":4670},[96],{"categories":4672},[47],{"categories":4674},[91],{"categories":4676},[176],{"categories":4678},[108],{"categories":4680},[96],{"categories":4682},[47],{"categories":4684},[99],{"categories":4686},[47],{"categories":4688},[96],{"categories":4690},[47],{"categories":4692},[47],{"categories":4694},[130],{"categories":4696},[47],{"categories":4698},[],{"categories":4700},[86],{"categories":4702},[47],{"categories":4704},[47],{"categories":4706},[47],{"categories":4708},[108],{"categories":4710},[108],{"categories":4712},[47],{"categories":4714},[108],{"categories":4716},[47],{"categories":4718},[96],{"categories":4720},[47],{"categories":4722},[47],{"categories":4724},[47],{"categories":4726},[47],{"categories":4728},[47],{"categories":4730},[],{"categories":4732},[47],{"categories":4734},[176],{"categories":4736},[91],{"categories":4738},[130],{"categories":4740},[47],{"categories":4742},[96],{"categories":4744},[47],{"categories":4746},[96],{"categories":4748},[47],{"categories":4750},[47],{"categories":4752},[176],{"categories":4754},[96],{"categories":4756},[47],{"categories":4758},[205],{"categories":4760},[47],{"categories":4762},[133],{"categories":4764},[47],{"categories":4766},[47],{"categories":4768},[130],{"categories":4770},[47],{"categories":4772},[47],{"categories":4774},[47],{"categories":4776},[47],{"categories":4778},[96],{"categories":4780},[242],{"categories":4782},[47],{"categories":4784},[108],{"categories":4786},[96],{"categories":4788},[133],{"categories":4790},[],{"categories":4792},[96],{"categories":4794},[108],{"categories":4796},[47],{"categories":4798},[47],{"categories":4800},[2153],{"categories":4802},[176],{"categories":4804},[271],{"categories":4806},[47],{"categories":4808},[47],{"categories":4810},[47],{"categories":4812},[47],{"categories":4814},[86],{"categories":4816},[47],{"categories":4818},[47],{"categories":4820},[108],{"categories":4822},[91],{"categories":4824},[108],{"categories":4826},[47],{"categories":4828},[],{"categories":4830},[96],{"categories":4832},[96],{"categories":4834},[47],{"categories":4836},[47],{"categories":4838},[133],{"categories":4840},[],{"categories":4842},[130],{"categories":4844},[],{"categories":4846},[130],{"categories":4848},[47],{"categories":4850},[47],{"categories":4852},[96],{"categories":4854},[47],{"categories":4856},[96],{"categories":4858},[96],{"categories":4860},[],{"categories":4862},[130],{"categories":4864},[47],{"categories":4866},[],{"categories":4868},[47],{"categories":4870},[47],{"categories":4872},[],{"categories":4874},[47],{"categories":4876},[176],{"categories":4878},[108],{"categories":4880},[96],{"categories":4882},[47],{"categories":4884},[47],{"categories":4886},[47],{"categories":4888},[205],{"categories":4890},[47],{"categories":4892},[47],{"categories":4894},[47],{"categories":4896},[86],{"categories":4898},[47],{"categories":4900},[47],{"categories":4902},[],{"categories":4904},[47],{"categories":4906},[47],{"categories":4908},[],{"categories":4910},[86],{"categories":4912},[47],{"categories":4914},[130],{"categories":4916},[108],{"categories":4918},[99],{"categories":4920},[413],{"categories":4922},[47],{"categories":4924},[47],{"categories":4926},[47],{"categories":4928},[108],{"categories":4930},[130],{"categories":4932},[176],{"categories":4934},[47],{"categories":4936},[47],{"categories":4938},[47],{"categories":4940},[47],{"categories":4942},[130],{"categories":4944},[176],{"categories":4946},[47],{"categories":4948},[47],{"categories":4950},[130],{"categories":4952},[176],{"categories":4954},[47],{"categories":4956},[130],{"categories":4958},[47],{"categories":4960},[96],{"categories":4962},[96],{"categories":4964},[96],{"categories":4966},[108],{"categories":4968},[130],{"categories":4970},[96],{"categories":4972},[96],{"categories":4974},[47],{"categories":4976},[108],{"categories":4978},[176],{"categories":4980},[47],{"categories":4982},[47],{"categories":4984},[47],{"categories":4986},[],{"categories":4988},[96],{"categories":4990},[],{"categories":4992},[47],{"categories":4994},[47],{"categories":4996},[],{"categories":4998},[],{"categories":5000},[96],{"categories":5002},[91],{"categories":5004},[96],{"categories":5006},[5007],"Liability & Ethics",{"categories":5009},[47],{"categories":5011},[47],{"categories":5013},[96],{"categories":5015},[86],{"categories":5017},[96],{"categories":5019},[91],{"categories":5021},[205],{"categories":5023},[96],{"categories":5025},[47],{"categories":5027},[47],{"categories":5029},[],{"categories":5031},[504],{"categories":5033},[96],{"categories":5035},[],{"categories":5037},[47],{"categories":5039},[86],{"categories":5041},[96],{"categories":5043},[],{"categories":5045},[96],{"categories":5047},[47],{"categories":5049},[47],{"categories":5051},[108],{"categories":5053},[47],{"categories":5055},[130],{"categories":5057},[47],{"categories":5059},[47],{"categories":5061},[96],{"categories":5063},[47],{"categories":5065},[47],{"categories":5067},[47],{"categories":5069},[130],{"categories":5071},[96],{"categories":5073},[108],{"categories":5075},[176],{"categories":5077},[86],{"categories":5079},[47],{"categories":5081},[47],{"categories":5083},[],{"categories":5085},[96],{"categories":5087},[96],{"categories":5089},[96],{"categories":5091},[413],{"categories":5093},[176],{"categories":5095},[96],{"categories":5097},[242],{"categories":5099},[108],{"categories":5101},[130],{"categories":5103},[47],{"categories":5105},[176],{"categories":5107},[47],{"categories":5109},[86],{"categories":5111},[],{"categories":5113},[96],{"categories":5115},[47],{"categories":5117},[47],{"categories":5119},[47],{"categories":5121},[96],{"categories":5123},[47],{"categories":5125},[176],{"categories":5127},[],{"categories":5129},[96],{"categories":5131},[99],{"categories":5133},[130],{"categories":5135},[96],{"categories":5137},[91],{"categories":5139},[],{"categories":5141},[47],{"categories":5143},[47],{"categories":5145},[99],{"categories":5147},[47],{"categories":5149},[96],{"categories":5151},[130],{"categories":5153},[86],{"categories":5155},[242],{"categories":5157},[47],{"categories":5159},[47],{"categories":5161},[47],{"categories":5163},[130],{"categories":5165},[91],{"categories":5167},[47],{"categories":5169},[176],{"categories":5171},[130],{"categories":5173},[242],{"categories":5175},[47],{"categories":5177},[96],{"categories":5179},[],{"categories":5181},[468],{"categories":5183},[],{"categories":5185},[47],{"categories":5187},[242],{"categories":5189},[47],{"categories":5191},[133],{"categories":5193},[96],{"categories":5195},[96],{"categories":5197},[5198],"Design News & Tools",{"categories":5200},[47],{"categories":5202},[130],{"categories":5204},[47],{"categories":5206},[47],{"categories":5208},[86],{"categories":5210},[47],{"categories":5212},[176],{"categories":5214},[96],{"categories":5216},[96],{"categories":5218},[176],{"categories":5220},[47],{"categories":5222},[413],{"categories":5224},[96],{"categories":5226},[47],{"categories":5228},[47],{"categories":5230},[413],{"categories":5232},[47],{"categories":5234},[205],{"categories":5236},[47],{"categories":5238},[96],{"categories":5240},[],{"categories":5242},[47],{"categories":5244},[47],{"categories":5246},[47],{"categories":5248},[130],{"categories":5250},[86],{"categories":5252},[],{"categories":5254},[47],{"categories":5256},[47],{"categories":5258},[47],{"categories":5260},[108],{"categories":5262},[529],{"categories":5264},[108],{"categories":5266},[176],{"categories":5268},[47],{"categories":5270},[47,96],{"categories":5272},[205,91],{"categories":5274},[108],{"categories":5276},[47],{"categories":5278},[47],{"categories":5280},[47],{"categories":5282},[47],{"categories":5284},[],{"categories":5286},[96],{"categories":5288},[47],{"categories":5290},[],{"categories":5292},[47],{"categories":5294},[108],{"categories":5296},[47],{"categories":5298},[108],{"categories":5300},[],{"categories":5302},[96],{"categories":5304},[47],{"categories":5306},[91],{"categories":5308},[47],{"categories":5310},[130],{"categories":5312},[47],{"categories":5314},[],{"categories":5316},[96],{"categories":5318},[47],{"categories":5320},[],{"categories":5322},[176],{"categories":5324},[47],{"categories":5326},[47],{"categories":5328},[96],{"categories":5330},[47],{"categories":5332},[47],{"categories":5334},[86],{"categories":5336},[96],{"categories":5338},[47],{"categories":5340},[],{"categories":5342},[242],{"categories":5344},[205],{"categories":5346},[91],{"categories":5348},[91],{"categories":5350},[47],{"categories":5352},[86],{"categories":5354},[86],{"categories":5356},[47],{"categories":5358},[96],{"categories":5360},[47],{"categories":5362},[47],{"categories":5364},[47],{"categories":5366},[47],{"categories":5368},[108],{"categories":5370},[47],{"categories":5372},[86],{"categories":5374},[47],{"categories":5376},[96],{"categories":5378},[47],{"categories":5380},[205],{"categories":5382},[47],{"categories":5384},[130],{"categories":5386},[47],{"categories":5388},[47],{"categories":5390},[96],{"categories":5392},[47],{"categories":5394},[96],{"categories":5396},[],{"categories":5398},[108],{"categories":5400},[],{"categories":5402},[108],{"categories":5404},[96],{"categories":5406},[86],{"categories":5408},[],{"categories":5410},[133],{"categories":5412},[242],{"categories":5414},[47],{"categories":5416},[108],{"categories":5418},[47],{"categories":5420},[],{"categories":5422},[130],{"categories":5424},[96],{"categories":5426},[108],{"categories":5428},[176],{"categories":5430},[47],{"categories":5432},[47],{"categories":5434},[96],{"categories":5436},[108],{"categories":5438},[96],{"categories":5440},[130],{"categories":5442},[47],{"categories":5444},[99],{"categories":5446},[86],{"categories":5448},[99],{"categories":5450},[130],{"categories":5452},[47],{"categories":5454},[108],{"categories":5456},[47],{"categories":5458},[176],{"categories":5460},[91],{"categories":5462},[47],{"categories":5464},[47],{"categories":5466},[47],{"categories":5468},[47],{"categories":5470},[47],{"categories":5472},[47],{"categories":5474},[96],{"categories":5476},[47],{"categories":5478},[96],{"categories":5480},[47],{"categories":5482},[47],{"categories":5484},[86],{"categories":5486},[47],{"categories":5488},[96],{"categories":5490},[96],{"categories":5492},[176],{"categories":5494},[96],{"categories":5496},[96],{"categories":5498},[86],{"categories":5500},[96],{"categories":5502},[176],{"categories":5504},[],{"categories":5506},[47],{"categories":5508},[133],{"categories":5510},[413],{"categories":5512},[47],{"categories":5514},[47],{"categories":5516},[47],{"categories":5518},[108],{"categories":5520},[47],{"categories":5522},[],{"categories":5524},[47],{"categories":5526},[96],{"categories":5528},[47],{"categories":5530},[205],{"categories":5532},[47],{"categories":5534},[130],{"categories":5536},[96],{"categories":5538},[47],{"categories":5540},[205],{"categories":5542},[96],{"categories":5544},[91],{"categories":5546},[91],{"categories":5548},[47],{"categories":5550},[47],{"categories":5552},[47],{"categories":5554},[47],{"categories":5556},[47],{"categories":5558},[86],{"categories":5560},[],{"categories":5562},[47],{"categories":5564},[47],{"categories":5566},[96],{"categories":5568},[96],{"categories":5570},[47],{"categories":5572},[47],{"categories":5574},[47],{"categories":5576},[108],{"categories":5578},[],{"categories":5580},[86],{"categories":5582},[47],{"categories":5584},[47],{"categories":5586},[96],{"categories":5588},[96],{"categories":5590},[],{"categories":5592},[108],{"categories":5594},[108],{"categories":5596},[47],{"categories":5598},[205],{"categories":5600},[91],{"categories":5602},[176],{"categories":5604},[],{"categories":5606},[47],{"categories":5608},[96],{"categories":5610},[86],{"categories":5612},[47],{"categories":5614},[47],{"categories":5616},[108],{"categories":5618},[86],{"categories":5620},[47],{"categories":5622},[47],{"categories":5624},[130],{"categories":5626},[133],{"categories":5628},[130],{"categories":5630},[96],{"categories":5632},[47],{"categories":5634},[],{"categories":5636},[130],{"categories":5638},[96],{"categories":5640},[176],{"categories":5642},[133],{"categories":5644},[47],{"categories":5646},[47],{"categories":5648},[],{"categories":5650},[96],{"categories":5652},[96],{"categories":5654},[96],{"categories":5656},[2908],{"categories":5658},[130],{"categories":5660},[47],{"categories":5662},[108],{"categories":5664},[47],{"categories":5666},[47],{"categories":5668},[47],{"categories":5670},[47],{"categories":5672},[91],{"categories":5674},[47],{"categories":5676},[86],{"categories":5678},[1669],{"categories":5680},[242],{"categories":5682},[86],{"categories":5684},[],{"categories":5686},[47],{"categories":5688},[],{"categories":5690},[130],{"categories":5692},[96],{"categories":5694},[176],{"categories":5696},[47],{"categories":5698},[47],{"categories":5700},[130],{"categories":5702},[],{"categories":5704},[96],{"categories":5706},[96],{"categories":5708},[96],{"categories":5710},[],{"categories":5712},[47],{"categories":5714},[],{"categories":5716},[130],{"categories":5718},[86],{"categories":5720},[176],{"categories":5722},[47],{"categories":5724},[96],{"categories":5726},[130],{"categories":5728},[47],{"categories":5730},[130],{"categories":5732},[],{"categories":5734},[130],{"categories":5736},[86],{"categories":5738},[413],{"categories":5740},[96],{"categories":5742},[47],{"categories":5744},[],{"categories":5746},[108],{"categories":5748},[96],{"categories":5750},[99],{"categories":5752},[96],{"categories":5754},[86],{"categories":5756},[],{"categories":5758},[],{"categories":5760},[],{"categories":5762},[176],{"categories":5764},[96],{"categories":5766},[47],{"categories":5768},[47],{"categories":5770},[],{"categories":5772},[],{"categories":5774},[],{"categories":5776},[47],{"categories":5778},[176],{"categories":5780},[47],{"categories":5782},[],{"categories":5784},[96],{"categories":5786},[47],{"categories":5788},[47],{"categories":5790},[86],{"categories":5792},[],{"categories":5794},[],{"categories":5796},[47],{"categories":5798},[176],{"categories":5800},[47],{"categories":5802},[130],{"categories":5804},[],{"categories":5806},[47],{"categories":5808},[205],{"categories":5810},[130],{"categories":5812},[205],{"categories":5814},[133],{"categories":5816},[47],{"categories":5818},[47],{"categories":5820},[],{"categories":5822},[],{"categories":5824},[96],{"categories":5826},[],{"categories":5828},[47],{"categories":5830},[413],{"categories":5832},[47],{"categories":5834},[47],{"categories":5836},[47],{"categories":5838},[47],{"categories":5840},[],{"categories":5842},[96],{"categories":5844},[47],{"categories":5846},[47],{"categories":5848},[],{"categories":5850},[96],{"categories":5852},[47],{"categories":5854},[130],{"categories":5856},[47],{"categories":5858},[205],{"categories":5860},[91],{"categories":5862},[47],{"categories":5864},[47],{"categories":5866},[96],{"categories":5868},[133],{"categories":5870},[96],{"categories":5872},[96],{"categories":5874},[],{"categories":5876},[96],{"categories":5878},[],{"categories":5880},[47],{"categories":5882},[],{"categories":5884},[130],{"categories":5886},[91],{"categories":5888},[],{"categories":5890},[47],{"categories":5892},[47],{"categories":5894},[],{"categories":5896},[176],{"categories":5898},[86],{"categories":5900},[],{"categories":5902},[91],{"categories":5904},[205],{"categories":5906},[47],{"categories":5908},[108],{"categories":5910},[86],{"categories":5912},[133],{"categories":5914},[91],{"categories":5916},[108],{"categories":5918},[96],{"categories":5920},[108],{"categories":5922},[],{"categories":5924},[47],{"categories":5926},[99],{"categories":5928},[47],{"categories":5930},[],{"categories":5932},[96],{"categories":5934},[86],{"categories":5936},[176],{"categories":5938},[47],{"categories":5940},[86],{"categories":5942},[96],{"categories":5944},[242],{"categories":5946},[47],{"categories":5948},[47],{"categories":5950},[47],{"categories":5952},[86],{"categories":5954},[133],{"categories":5956},[96],{"categories":5958},[],{"categories":5960},[47],{"categories":5962},[47],{"categories":5964},[47],{"categories":5966},[108],{"categories":5968},[96],{"categories":5970},[130],{"categories":5972},[108],{"categories":5974},[47],{"categories":5976},[99],{"categories":5978},[],{"categories":5980},[176],{"categories":5982},[108],{"categories":5984},[130],{"categories":5986},[86],{"categories":5988},[96],{"categories":5990},[47],{"categories":5992},[47],{"categories":5994},[96],{"categories":5996},[99],{"categories":5998},[47],{"categories":6000},[96],{"categories":6002},[47],{"categories":6004},[91],{"categories":6006},[96],{"categories":6008},[96,242],{"categories":6010},[47],{"categories":6012},[47],{"categories":6014},[96],{"categories":6016},[108],{"categories":6018},[47],{"categories":6020},[47],{"categories":6022},[133],{"categories":6024},[96],{"categories":6026},[205],{"categories":6028},[96],{"categories":6030},[91],{"categories":6032},[],{"categories":6034},[96],{"categories":6036},[47],{"categories":6038},[91],{"categories":6040},[],{"categories":6042},[],{"categories":6044},[108],{"categories":6046},[47],{"categories":6048},[47],{"categories":6050},[96],{"categories":6052},[133],{"categories":6054},[205],{"categories":6056},[47],{"categories":6058},[47],{"categories":6060},[96],{"categories":6062},[],{"categories":6064},[96],{"categories":6066},[130],{"categories":6068},[96],{"categories":6070},[47],{"categories":6072},[],{"categories":6074},[130],{"categories":6076},[108],{"categories":6078},[2908],{"categories":6080},[86],{"categories":6082},[108],{"categories":6084},[47],{"categories":6086},[96],{"categories":6088},[47],{"categories":6090},[47],{"categories":6092},[205],{"categories":6094},[108],{"categories":6096},[],{"categories":6098},[130],{"categories":6100},[47],{"categories":6102},[],{"categories":6104},[96],{"categories":6106},[47],{"categories":6108},[47],{"categories":6110},[47],{"categories":6112},[47],{"categories":6114},[96],{"categories":6116},[47],{"categories":6118},[47],{"categories":6120},[99],{"categories":6122},[47],{"categories":6124},[96],{"categories":6126},[47],{"categories":6128},[47],{"categories":6130},[47],{"categories":6132},[47],{"categories":6134},[47],{"categories":6136},[47],{"categories":6138},[47],{"categories":6140},[91],{"categories":6142},[],{"categories":6144},[99],{"categories":6146},[130],{"categories":6148},[96],{"categories":6150},[47],{"categories":6152},[108],{"categories":6154},[],{"categories":6156},[108],{"categories":6158},[108],{"categories":6160},[96],{"categories":6162},[108],{"categories":6164},[47],{"categories":6166},[47],{"categories":6168},[47],{"categories":6170},[96],{"categories":6172},[108],{"categories":6174},[47],{"categories":6176},[47],{"categories":6178},[47],{"categories":6180},[96],{"categories":6182},[130],{"categories":6184},[47],{"categories":6186},[47],{"categories":6188},[47],{"categories":6190},[91],{"categories":6192},[47],{"categories":6194},[96],{"categories":6196},[176],{"categories":6198},[],{"categories":6200},[47],{"categories":6202},[133],{"categories":6204},[96],{"categories":6206},[47],{"categories":6208},[47],{"categories":6210},[],{"categories":6212},[47],{"categories":6214},[47],{"categories":6216},[130],{"categories":6218},[47],{"categories":6220},[47],{"categories":6222},[96],{"categories":6224},[205],{"categories":6226},[],{"categories":6228},[],{"categories":6230},[108],{"categories":6232},[47],{"categories":6234},[130],{"categories":6236},[47],{"categories":6238},[108],{"categories":6240},[130],{"categories":6242},[47],{"categories":6244},[205],{"categories":6246},[133],{"categories":6248},[47],{"categories":6250},[47],{"categories":6252},[86],{"categories":6254},[96],{"categories":6256},[47],{"categories":6258},[47],{"categories":6260},[96],{"categories":6262},[96],{"categories":6264},[47],{"categories":6266},[91],{"categories":6268},[],{"categories":6270},[133],{"categories":6272},[47],{"categories":6274},[],{"categories":6276},[130],{"categories":6278},[47],{"categories":6280},[133],{"categories":6282},[47],{"categories":6284},[108],{"categories":6286},[108],{"categories":6288},[108],{"categories":6290},[96],{"categories":6292},[96],{"categories":6294},[47],{"categories":6296},[96],{"categories":6298},[47],{"categories":6300},[47],{"categories":6302},[176],{"categories":6304},[133],{"categories":6306},[133],{"categories":6308},[],{"categories":6310},[130],{"categories":6312},[47],{"categories":6314},[47],{"categories":6316},[108],{"categories":6318},[],{"categories":6320},[130],{"categories":6322},[130],{"categories":6324},[130],{"categories":6326},[],{"categories":6328},[96],{"categories":6330},[47],{"categories":6332},[],{"categories":6334},[86],{"categories":6336},[91],{"categories":6338},[],{"categories":6340},[47],{"categories":6342},[47],{"categories":6344},[],{"categories":6346},[108],{"categories":6348},[],{"categories":6350},[],{"categories":6352},[],{"categories":6354},[],{"categories":6356},[47],{"categories":6358},[130],{"categories":6360},[],{"categories":6362},[],{"categories":6364},[47],{"categories":6366},[47],{"categories":6368},[47],{"categories":6370},[133],{"categories":6372},[47],{"categories":6374},[133],{"categories":6376},[],{"categories":6378},[133],{"categories":6380},[133],{"categories":6382},[242],{"categories":6384},[96],{"categories":6386},[108],{"categories":6388},[],{"categories":6390},[],{"categories":6392},[133],{"categories":6394},[108],{"categories":6396},[108],{"categories":6398},[108],{"categories":6400},[],{"categories":6402},[86],{"categories":6404},[108],{"categories":6406},[108],{"categories":6408},[86],{"categories":6410},[108],{"categories":6412},[91],{"categories":6414},[108],{"categories":6416},[108],{"categories":6418},[108],{"categories":6420},[133],{"categories":6422},[130],{"categories":6424},[130],{"categories":6426},[47],{"categories":6428},[108],{"categories":6430},[133],{"categories":6432},[242],{"categories":6434},[133],{"categories":6436},[133],{"categories":6438},[133],{"categories":6440},[],{"categories":6442},[91],{"categories":6444},[],{"categories":6446},[242],{"categories":6448},[108],{"categories":6450},[108],{"categories":6452},[108],{"categories":6454},[96],{"categories":6456},[130,91],{"categories":6458},[133],{"categories":6460},[],{"categories":6462},[],{"categories":6464},[133],{"categories":6466},[],{"categories":6468},[133],{"categories":6470},[130],{"categories":6472},[96],{"categories":6474},[],{"categories":6476},[108],{"categories":6478},[47],{"categories":6480},[176],{"categories":6482},[],{"categories":6484},[47],{"categories":6486},[],{"categories":6488},[130],{"categories":6490},[86],{"categories":6492},[133],{"categories":6494},[],{"categories":6496},[108],{"categories":6498},[130],[6500,6551,6604,6654],{"id":6501,"title":6502,"ai":6503,"body":6508,"categories":6531,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6532,"navigation":64,"path":6541,"published_at":6542,"question":48,"scraped_at":6542,"seo":6543,"sitemap":6544,"source_id":6545,"source_name":70,"source_type":71,"source_url":6536,"stem":6546,"tags":6547,"thumbnail_url":48,"tldr":6548,"tweet":48,"unknown_tags":6549,"__hash__":6550},"summaries\u002Fsummaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary.md","LLMs Hit a Hard Limit on Multi-Constraint Instruction Following",{"provider":7,"model":8,"input_tokens":6504,"output_tokens":6505,"processing_time_ms":6506,"cost_usd":6507},4089,453,2389,0.00170175,{"type":14,"value":6509,"toc":6527},[6510,6514,6517,6521,6524],[17,6511,6513],{"id":6512},"the-phase-transition-phenomenon-in-llm-reasoning","The Phase Transition Phenomenon in LLM Reasoning",[22,6515,6516],{},"Research indicates that Large Language Models (LLMs) do not scale linearly in their ability to follow multiple instructions simultaneously. Instead, they experience 'phase transitions'—a threshold where the model's ability to satisfy a set of constraints remains stable until a critical point is reached, at which performance collapses abruptly. This suggests that LLMs do not possess a fluid, general-purpose reasoning capability for complex, multi-layered tasks, but rather operate within a bounded 'constraint capacity' that is highly sensitive to the number of active requirements.",[17,6518,6520],{"id":6519},"implications-for-prompt-engineering-and-system-design","Implications for Prompt Engineering and System Design",[22,6522,6523],{},"This finding challenges the common practice of 'stacking' instructions in prompts. Because the drop-off in performance is sudden rather than incremental, developers cannot rely on gradual degradation to signal when a prompt has become too complex. Instead, systems that require high-fidelity adherence to multiple constraints (e.g., specific formatting, tone, length, and content restrictions) are prone to silent failures once the model's internal threshold is crossed.",[22,6525,6526],{},"To mitigate these risks, the research suggests that complex tasks should be decomposed into sequential, single-constraint steps rather than attempting to force a model to satisfy all constraints in a single pass. This architectural shift—moving from monolithic prompts to multi-step agentic workflows—is necessary to stay below the 'phase transition' threshold and maintain reliable output quality.",{"title":40,"searchDepth":41,"depth":41,"links":6528},[6529,6530],{"id":6512,"depth":41,"text":6513},{"id":6519,"depth":41,"text":6520},[47],{"content_references":6533,"triage":6538},[6534],{"type":54,"title":6535,"url":6536,"context":6537},"Large Language Models Can Follow Instructions, But Not Many at Once: Phase Transitions in Compositional Constraint Satisfaction","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.12426","reviewed",{"relevance":59,"novelty":60,"quality":60,"actionability":60,"composite":6539,"reasoning":6540},4.35,"Category: AI & LLMs. The article provides deep insights into the limitations of LLMs in handling multiple constraints, which is crucial for developers working on AI-powered products. It offers actionable guidance on decomposing complex tasks into simpler steps, directly addressing a pain point for the audience.","\u002Fsummaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary","2026-08-15 03:11:03",{"title":6502,"description":40},{"loc":6541},"f72ebdfe7d5a4bd6","summaries\u002Ff72ebdfe7d5a4bd6-llms-hit-a-hard-limit-on-multi-constraint-instruct-summary",[74,76,75],"LLMs exhibit 'phase transitions' in performance, where adding a single additional constraint causes a sudden, catastrophic drop in instruction-following capability rather than a gradual decline.",[],"8wPAYwNg_Ix5oXIsa6m8lUSvF6Lomp5SBhl2BBOAyR0",{"id":6552,"title":6553,"ai":6554,"body":6559,"categories":6587,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6588,"navigation":64,"path":6594,"published_at":6595,"question":48,"scraped_at":6595,"seo":6596,"sitemap":6597,"source_id":6598,"source_name":70,"source_type":71,"source_url":6591,"stem":6599,"tags":6600,"thumbnail_url":48,"tldr":6601,"tweet":48,"unknown_tags":6602,"__hash__":6603},"summaries\u002Fsummaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary.md","Forecasting Side Effects of Activation Steering",{"provider":7,"model":8,"input_tokens":6555,"output_tokens":6556,"processing_time_ms":6557,"cost_usd":6558},4045,480,2449,0.00173125,{"type":14,"value":6560,"toc":6582},[6561,6565,6568,6572,6575,6579],[17,6562,6564],{"id":6563},"the-challenge-of-unintended-consequences-in-activation-steering","The Challenge of Unintended Consequences in Activation Steering",[22,6566,6567],{},"Activation steering—the practice of adding specific vectors to a model's internal activations to influence its output—is a powerful technique for steering LLM behavior. However, its primary limitation is the lack of predictability regarding side effects. When a developer steers a model to be more helpful or to adopt a specific persona, the model may simultaneously lose capabilities in unrelated domains or exhibit unexpected biases. This research addresses the difficulty of forecasting these downstream behavioral changes, providing a methodology to identify potential risks before they manifest in production environments.",[17,6569,6571],{"id":6570},"a-predictive-framework-for-behavioral-shifts","A Predictive Framework for Behavioral Shifts",[22,6573,6574],{},"The authors propose a systematic approach to evaluating the impact of steering vectors by mapping internal activation changes to observable model outputs. Instead of relying on trial-and-error, the framework uses diagnostic probes to measure how steering vectors shift the model's latent space. By analyzing the correlation between these latent shifts and performance on benchmark tasks, the researchers demonstrate that it is possible to predict which capabilities are likely to degrade when a specific steering vector is applied. This allows engineers to quantify the trade-offs between 'steerability' and 'model integrity' before committing to a specific intervention.",[17,6576,6578],{"id":6577},"practical-implications-for-model-control","Practical Implications for Model Control",[22,6580,6581],{},"The findings suggest that side effects are not random but are structurally linked to the model's internal representation of concepts. By identifying these 'interference zones'—where steering vectors overlap with critical reasoning or knowledge pathways—developers can refine their steering vectors to minimize collateral damage. This work moves activation steering from a heuristic-based experiment toward a more rigorous engineering discipline, enabling safer and more reliable model customization.",{"title":40,"searchDepth":41,"depth":41,"links":6583},[6584,6585,6586],{"id":6563,"depth":41,"text":6564},{"id":6570,"depth":41,"text":6571},{"id":6577,"depth":41,"text":6578},[47],{"content_references":6589,"triage":6592},[6590],{"type":54,"title":6553,"url":6591,"context":6537},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.11227",{"relevance":59,"novelty":60,"quality":60,"actionability":60,"composite":6539,"reasoning":6593},"Category: AI & LLMs. The article provides a framework for predicting side effects of activation steering in LLMs, addressing a specific pain point for developers who need to ensure model integrity while customizing behavior. It offers actionable insights into refining steering vectors to minimize unintended consequences, making it highly relevant and practical for the target audience.","\u002Fsummaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary","2026-08-14 03:21:16",{"title":6553,"description":40},{"loc":6594},"c53514987261a417","summaries\u002Fc53514987261a417-forecasting-side-effects-of-activation-steering-summary",[74,75,76],"Activation steering allows for precise control over LLM behavior, but it often introduces unintended side effects. This research provides a framework to predict these downstream behavioral changes before deployment.",[],"OV5sAf6SWzE51JSpRpDM2P1aN0v9Dxm5GJvrCIlrdI4",{"id":6605,"title":6606,"ai":6607,"body":6612,"categories":6635,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6636,"navigation":64,"path":6644,"published_at":6645,"question":48,"scraped_at":6645,"seo":6646,"sitemap":6647,"source_id":6648,"source_name":70,"source_type":71,"source_url":6640,"stem":6649,"tags":6650,"thumbnail_url":48,"tldr":6651,"tweet":48,"unknown_tags":6652,"__hash__":6653},"summaries\u002Fsummaries\u002F82bd7c975432271f-training-data-granularity-and-parametric-modularit-summary.md","Training Data Granularity and Parametric Modularity in LLMs",{"provider":7,"model":8,"input_tokens":6608,"output_tokens":6609,"processing_time_ms":6610,"cost_usd":6611},4005,470,2567,0.00170625,{"type":14,"value":6613,"toc":6631},[6614,6618,6621,6625,6628],[17,6615,6617],{"id":6616},"the-distinction-between-decodability-and-detachability","The Distinction Between Decodability and Detachability",[22,6619,6620],{},"This research addresses a fundamental limitation in current LLM architecture: the difference between a model's ability to recall information (decodability) and its ability to isolate specific knowledge components for modification or removal (detachability). While standard training methods successfully encode vast amounts of data, they often result in highly entangled parameter states. The authors demonstrate that even when a model can accurately retrieve or 'decode' a specific fact, that fact is frequently distributed across non-contiguous parameter clusters, making it impossible to surgically remove or update without degrading overall model performance.",[17,6622,6624],{"id":6623},"data-granularity-as-the-driver-of-modularity","Data Granularity as the Driver of Modularity",[22,6626,6627],{},"The core finding is that parametric modularity is not an emergent property of scale, but a direct consequence of training data granularity. When models are trained on coarse-grained, heterogeneous datasets, knowledge becomes deeply entangled. Conversely, when training data is structured with higher granularity—where specific concepts, domains, or tasks are presented in distinct, self-contained sequences—the model develops more modular internal representations.",[22,6629,6630],{},"This structural alignment between input data and internal parameter organization suggests that developers can influence the 'editability' of a model by curating training pipelines that prioritize conceptual separation. The research implies that future efforts to improve model reliability and safety should focus on data-centric engineering rather than relying solely on post-hoc fine-tuning or model editing techniques, which often fail because the underlying knowledge is not truly detachable.",{"title":40,"searchDepth":41,"depth":41,"links":6632},[6633,6634],{"id":6616,"depth":41,"text":6617},{"id":6623,"depth":41,"text":6624},[47],{"content_references":6637,"triage":6641},[6638],{"type":54,"title":6639,"url":6640,"context":57},"Decodable But Not Detachable: Training Data Granularity Determines Parametric Modularity in Large Language Models","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10214",{"relevance":61,"novelty":60,"quality":60,"actionability":61,"composite":6642,"reasoning":6643},3.45,"Category: AI & LLMs. The article discusses the impact of training data granularity on the modularity of LLMs, which is relevant for developers looking to improve AI models. It provides insights into how training data structure affects model performance, but lacks specific actionable steps for implementation.","\u002Fsummaries\u002F82bd7c975432271f-training-data-granularity-and-parametric-modularit-summary","2026-08-13 03:25:45",{"title":6606,"description":40},{"loc":6644},"82bd7c975432271f","summaries\u002F82bd7c975432271f-training-data-granularity-and-parametric-modularit-summary",[74,75,76],"The research establishes that the granularity of training data directly dictates whether knowledge within an LLM is modular and detachable, or merely decodable but entangled.",[],"dZ2d1QYnrVFsc_Rvcroq19W75nDyzaVRgQCeDkdIIHc",{"id":6655,"title":6656,"ai":6657,"body":6662,"categories":6690,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6691,"navigation":64,"path":6699,"published_at":6700,"question":48,"scraped_at":6700,"seo":6701,"sitemap":6702,"source_id":6703,"source_name":70,"source_type":71,"source_url":6695,"stem":6704,"tags":6705,"thumbnail_url":48,"tldr":6706,"tweet":48,"unknown_tags":6707,"__hash__":6708},"summaries\u002Fsummaries\u002F41e7bf292bba6d81-detecting-llm-hallucinations-via-internal-state-pr-summary.md","Detecting LLM Hallucinations via Internal State Probing",{"provider":7,"model":8,"input_tokens":6658,"output_tokens":6659,"processing_time_ms":6660,"cost_usd":6661},4031,468,2939,0.00170975,{"type":14,"value":6663,"toc":6685},[6664,6668,6671,6675,6678,6682],[17,6665,6667],{"id":6666},"the-knowing-saying-gap","The Knowing-Saying Gap",[22,6669,6670],{},"Research into LLM reliability reveals a critical disconnect between a model's internal representation of truth and its final output. While models often output high-confidence responses, their internal hidden states frequently contain information that contradicts the generated text. This phenomenon, termed the 'knowing-saying gap,' suggests that models possess latent knowledge of their own errors that is not reflected in their surface-level confidence scores.",[17,6672,6674],{"id":6673},"probing-as-an-error-detection-mechanism","Probing as an Error Detection Mechanism",[22,6676,6677],{},"Standard confidence metrics—such as log-probabilities or self-reported certainty—are often insufficient for identifying hallucinations or factual inaccuracies. The authors demonstrate that internal state probes (linear classifiers trained on the model's intermediate activations) can outperform these traditional metrics. By analyzing the model's internal processing during the generation phase, these probes can identify when the model is 'uncertain' or 'incorrect' even when the model's output layer suggests high confidence.",[17,6679,6681],{"id":6680},"implications-for-ai-safety-and-reliability","Implications for AI Safety and Reliability",[22,6683,6684],{},"This research highlights that relying on a model's own output confidence is a flawed strategy for safety-critical applications. Instead, developers should look toward 'white-box' monitoring techniques. By implementing probes that monitor internal activations, systems can trigger interventions or human-in-the-loop reviews when the model's internal state indicates a high probability of error, effectively bridging the gap between what the model knows and what it says.",{"title":40,"searchDepth":41,"depth":41,"links":6686},[6687,6688,6689],{"id":6666,"depth":41,"text":6667},{"id":6673,"depth":41,"text":6674},{"id":6680,"depth":41,"text":6681},[47],{"content_references":6692,"triage":6696},[6693],{"type":54,"title":6694,"url":6695,"context":57},"The Knowing-Saying Gap: When Probes See Errors that Confidence Misses","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.07528",{"relevance":60,"novelty":60,"quality":60,"actionability":61,"composite":6697,"reasoning":6698},3.8,"Category: AI & LLMs. The article discusses a specific method for detecting errors in LLM outputs, addressing a key pain point for developers concerned about model reliability. It presents new insights into the 'knowing-saying gap' and suggests practical monitoring techniques, although it lacks detailed implementation steps for immediate action.","\u002Fsummaries\u002F41e7bf292bba6d81-detecting-llm-hallucinations-via-internal-state-pr-summary","2026-08-12 03:21:23",{"title":6656,"description":40},{"loc":6699},"41e7bf292bba6d81","summaries\u002F41e7bf292bba6d81-detecting-llm-hallucinations-via-internal-state-pr-summary",[74,75,76],"LLMs often express high confidence in incorrect answers, but internal state probes can detect these errors before the model generates the output, revealing a 'knowing-saying gap'.",[],"q3qHSzMErMijgSEmkfJtUgjtIhX6vKYusPwHy3Xb0X4"]