[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-d5873bcc8721a903-narrative-captivity-why-llms-get-stuck-in-multi-tu-summary":3,"summaries-facets-categories":123,"summary-related-d5873bcc8721a903-narrative-captivity-why-llms-get-stuck-in-multi-tu-summary":7707},{"id":4,"title":5,"ai":6,"body":13,"categories":89,"created_at":91,"date_modified":91,"description":83,"extension":92,"faq":91,"featured":93,"kicker_label":91,"meta":94,"navigation":107,"path":108,"published_at":109,"question":91,"scraped_at":109,"seo":110,"sitemap":111,"source_id":112,"source_name":113,"source_type":114,"source_url":100,"stem":115,"tags":116,"thumbnail_url":91,"tldr":120,"tweet":91,"unknown_tags":121,"__hash__":122},"summaries\u002Fsummaries\u002Fd5873bcc8721a903-narrative-captivity-why-llms-get-stuck-in-multi-tu-summary.md","Narrative Captivity: Why LLMs Get Stuck in Multi-turn Contexts",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4039,629,3348,0.00195325,{"type":14,"value":15,"toc":82},"minimark",[16,21,25,29,32,55,59,62],[17,18,20],"h2",{"id":19},"the-mechanism-of-narrative-captivity","The Mechanism of Narrative Captivity",[22,23,24],"p",{},"'Narrative Captivity' describes a phenomenon where Large Language Models (LLMs) become overly conditioned on the established context of a multi-turn conversation. As a dialogue progresses, the model's latent representation becomes increasingly biased toward the initial themes, tone, or narrative arc established in early turns. This 'captivity' creates a feedback loop where the model prioritizes maintaining the internal consistency of the existing story over accurately processing new, potentially contradictory, or task-shifting instructions.",[17,26,28],{"id":27},"impact-on-model-performance-and-flexibility","Impact on Model Performance and Flexibility",[22,30,31],{},"This phenomenon significantly degrades performance in complex, multi-turn interactions. When a user attempts to pivot the conversation or introduce a new task, the model struggles to break free from the established 'narrative frame.' This leads to several failure modes:",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Thematic Inertia:"," The model continues to apply the persona or tone of the previous turns even when the user explicitly requests a change.",[36,44,45,48],{},[39,46,47],{},"Contextual Over-fitting:"," The model treats the conversation history as a rigid constraint rather than a flexible context, causing it to ignore new instructions that conflict with the established 'story.'",[36,50,51,54],{},[39,52,53],{},"Degraded Reasoning:"," As the model spends more 'attention' on maintaining the narrative thread, its ability to perform objective reasoning or logical tasks decreases, as the narrative constraints act as a form of cognitive noise.",[17,56,58],{"id":57},"mitigating-narrative-bias","Mitigating Narrative Bias",[22,60,61],{},"To combat this, the research suggests that developers must move beyond simple context window management. Effective strategies include:",[33,63,64,70,76],{},[36,65,66,69],{},[39,67,68],{},"Context Resetting:"," Periodically summarizing the conversation to strip away stylistic 'baggage' while retaining core factual information.",[36,71,72,75],{},[39,73,74],{},"Instructional Anchoring:"," Using system prompts that explicitly prioritize new instructions over historical context, effectively 'breaking' the narrative chain when a task shift is detected.",[36,77,78,81],{},[39,79,80],{},"Dynamic Temperature Scaling:"," Adjusting model parameters during long-running sessions to encourage more divergent thinking when the model shows signs of becoming trapped in a repetitive narrative loop.",{"title":83,"searchDepth":84,"depth":84,"links":85},"",2,[86,87,88],{"id":19,"depth":84,"text":20},{"id":27,"depth":84,"text":28},{"id":57,"depth":84,"text":58},[90],"AI & LLMs",null,"md",false,{"content_references":95,"triage":102},[96],{"type":97,"title":98,"author":99,"url":100,"context":101},"paper","Caught in the Story: Narrative Captivity in Multi-turn LLMs Conversation","Various","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.03407","cited",{"relevance":103,"novelty":103,"quality":103,"actionability":104,"composite":105,"reasoning":106},4,3,3.8,"Category: AI & LLMs. The article discusses a specific issue ('narrative captivity') that affects LLM performance, which is relevant to AI engineers looking to improve model interactions. It provides insights into mitigating this issue, though it lacks detailed actionable steps for implementation.",true,"\u002Fsummaries\u002Fd5873bcc8721a903-narrative-captivity-why-llms-get-stuck-in-multi-tu-summary","2026-09-05 03:11:03",{"title":5,"description":83},{"loc":108},"d5873bcc8721a903","arXiv cs.AI","article","summaries\u002Fd5873bcc8721a903-narrative-captivity-why-llms-get-stuck-in-multi-tu-summary",[117,118,119],"llm","research","ai-tools","LLMs often suffer from 'narrative captivity,' where the model becomes trapped in the stylistic or thematic constraints of a conversation history, leading to degraded performance and inability to pivot to new tasks.",[],"l_tI7BG0ywDfaEyTbuxJRjyctnzB18qdAYTJZzzMcQ0",[124,126,129,131,134,136,139,142,144,146,148,150,153,156,158,160,162,164,167,169,171,173,175,178,180,182,184,186,188,190,192,194,196,198,200,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,233,235,237,239,241,243,245,247,249,251,253,255,257,259,261,263,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,415,417,419,421,423,425,427,429,431,433,435,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,471,473,475,477,479,481,483,485,487,489,491,493,495,497,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,569,571,573,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,615,617,619,621,623,625,627,629,631,633,635,637,639,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,951,953,955,957,959,962,964,966,968,970,972,974,976,978,980,982,984,986,988,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523,6525,6527,6529,6531,6533,6535,6537,6539,6541,6543,6545,6547,6549,6551,6553,6555,6557,6559,6561,6563,6565,6567,6569,6571,6573,6575,6577,6579,6581,6583,6585,6587,6589,6591,6593,6595,6597,6599,6601,6603,6605,6607,6609,6611,6613,6615,6617,6619,6621,6623,6625,6627,6629,6631,6633,6635,6637,6639,6641,6643,6645,6647,6649,6651,6653,6655,6657,6659,6661,6663,6665,6667,6669,6671,6673,6675,6677,6679,6681,6683,6685,6687,6689,6691,6693,6695,6697,6699,6701,6703,6705,6707,6709,6711,6713,6715,6717,6719,6721,6723,6725,6727,6729,6731,6733,6735,6737,6739,6741,6743,6745,6747,6749,6751,6753,6755,6757,6759,6761,6763,6765,6767,6769,6771,6773,6775,6777,6779,6781,6783,6785,6787,6789,6791,6793,6795,6797,6799,6801,6803,6805,6807,6809,6811,6813,6815,6817,6819,6821,6823,6825,6827,6829,6831,6833,6835,6837,6839,6841,6843,6845,6847,6849,6851,6853,6855,6857,6859,6861,6863,6865,6867,6869,6871,6873,6875,6877,6879,6881,6883,6885,6887,6889,6891,6893,6895,6897,6899,6901,6903,6905,6907,6909,6911,6913,6915,6917,6919,6921,6923,6925,6927,6929,6931,6933,6935,6937,6939,6941,6943,6945,6947,6949,6951,6953,6955,6957,6959,6961,6963,6965,6967,6969,6971,6973,6975,6977,6979,6981,6983,6985,6987,6989,6991,6993,6995,6997,6999,7001,7003,7005,7007,7009,7011,7013,7015,7017,7019,7021,7023,7025,7027,7029,7031,7033,7035,7037,7039,7041,7043,7045,7047,7049,7051,7053,7055,7057,7059,7061,7063,7065,7067,7069,7071,7073,7075,7077,7079,7081,7083,7085,7087,7089,7091,7093,7095,7097,7099,7101,7103,7105,7107,7109,7111,7113,7115,7117,7119,7121,7123,7125,7127,7129,7131,7133,7135,7137,7139,7141,7143,7145,7147,7149,7151,7153,7155,7157,7159,7161,7163,7165,7167,7169,7171,7173,7175,7177,7179,7181,7183,7185,7187,7189,7191,7193,7195,7197,7199,7201,7203,7205,7207,7209,7211,7213,7215,7217,7219,7221,7223,7225,7227,7229,7231,7233,7235,7237,7239,7241,7243,7245,7247,7249,7251,7253,7255,7257,7259,7261,7263,7265,7267,7269,7271,7273,7275,7277,7279,7281,7283,7285,7287,7289,7291,7293,7295,7297,7299,7301,7303,7305,7307,7309,7311,7313,7315,7317,7319,7321,7323,7325,7327,7329,7331,7333,7335,7337,7339,7341,7343,7345,7347,7349,7351,7353,7355,7357,7359,7361,7363,7365,7367,7369,7371,7373,7375,7377,7379,7381,7383,7385,7387,7389,7391,7393,7395,7397,7399,7401,7403,7405,7407,7409,7411,7413,7415,7417,7419,7421,7423,7425,7427,7429,7431,7433,7435,7437,7439,7441,7443,7445,7447,7449,7451,7453,7455,7457,7459,7461,7463,7465,7467,7469,7471,7473,7475,7477,7479,7481,7483,7485,7487,7489,7491,7493,7495,7497,7499,7501,7503,7505,7507,7509,7511,7513,7515,7517,7519,7521,7523,7525,7527,7529,7531,7533,7535,7537,7539,7541,7543,7545,7547,7549,7551,7553,7555,7557,7559,7561,7563,7565,7567,7569,7571,7573,7575,7577,7579,7581,7583,7585,7587,7589,7591,7593,7595,7597,7599,7601,7603,7605,7607,7609,7611,7613,7615,7617,7619,7621,7623,7625,7627,7629,7631,7633,7635,7637,7639,7641,7643,7645,7647,7649,7651,7653,7655,7657,7659,7661,7663,7665,7667,7669,7671,7673,7675,7677,7679,7681,7683,7685,7687,7689,7691,7693,7695,7697,7699,7701,7703,7705],{"categories":125},[90],{"categories":127},[128],"Developer Productivity",{"categories":130},[90],{"categories":132},[133],"Business & SaaS",{"categories":135},[90],{"categories":137},[138],"AI Automation",{"categories":140},[141],"Product Strategy",{"categories":143},[138],{"categories":145},[90],{"categories":147},[128],{"categories":149},[138],{"categories":151},[152],"Software Engineering",{"categories":154},[155],"Data Science & Visualization",{"categories":157},[90],{"categories":159},[133],{"categories":161},[],{"categories":163},[90],{"categories":165},[166],"Inference & Serving",{"categories":168},[90],{"categories":170},[90],{"categories":172},[138],{"categories":174},[],{"categories":176},[177],"AI News & Trends",{"categories":179},[155],{"categories":181},[138],{"categories":183},[90],{"categories":185},[90],{"categories":187},[90],{"categories":189},[133],{"categories":191},[128],{"categories":193},[90],{"categories":195},[138],{"categories":197},[177],{"categories":199},[90],{"categories":201},[138],{"categories":203},[138],{"categories":205},[90],{"categories":207},[90],{"categories":209},[138],{"categories":211},[90],{"categories":213},[90],{"categories":215},[90],{"categories":217},[133],{"categories":219},[138],{"categories":221},[177],{"categories":223},[90],{"categories":225},[90],{"categories":227},[90],{"categories":229},[],{"categories":231},[232],"Design & Frontend",{"categories":234},[90],{"categories":236},[155],{"categories":238},[90],{"categories":240},[177],{"categories":242},[90],{"categories":244},[90],{"categories":246},[90],{"categories":248},[],{"categories":250},[90],{"categories":252},[90],{"categories":254},[138],{"categories":256},[152],{"categories":258},[90],{"categories":260},[138],{"categories":262},[90],{"categories":264},[265],"Marketing & Growth",{"categories":267},[232],{"categories":269},[90],{"categories":271},[138],{"categories":273},[90],{"categories":275},[90],{"categories":277},[152],{"categories":279},[90],{"categories":281},[],{"categories":283},[],{"categories":285},[232],{"categories":287},[90],{"categories":289},[138],{"categories":291},[128],{"categories":293},[152],{"categories":295},[138],{"categories":297},[232],{"categories":299},[90],{"categories":301},[141],{"categories":303},[90],{"categories":305},[152],{"categories":307},[308],"DevOps & Cloud",{"categories":310},[138],{"categories":312},[141],{"categories":314},[177],{"categories":316},[90],{"categories":318},[],{"categories":320},[90],{"categories":322},[90],{"categories":324},[90],{"categories":326},[],{"categories":328},[138],{"categories":330},[152],{"categories":332},[],{"categories":334},[152],{"categories":336},[138],{"categories":338},[90],{"categories":340},[232],{"categories":342},[343],"Governance & Standards",{"categories":345},[133],{"categories":347},[],{"categories":349},[90],{"categories":351},[],{"categories":353},[90],{"categories":355},[90],{"categories":357},[138],{"categories":359},[138],{"categories":361},[90],{"categories":363},[90],{"categories":365},[138],{"categories":367},[90],{"categories":369},[90],{"categories":371},[90],{"categories":373},[],{"categories":375},[152],{"categories":377},[],{"categories":379},[],{"categories":381},[90],{"categories":383},[152],{"categories":385},[],{"categories":387},[152],{"categories":389},[90],{"categories":391},[138],{"categories":393},[90],{"categories":395},[265],{"categories":397},[90],{"categories":399},[90],{"categories":401},[90],{"categories":403},[232],{"categories":405},[232],{"categories":407},[90],{"categories":409},[152],{"categories":411},[138],{"categories":413},[414],"GovTech & Public-Sector Adoption",{"categories":416},[152],{"categories":418},[90],{"categories":420},[90],{"categories":422},[90],{"categories":424},[138],{"categories":426},[138],{"categories":428},[155],{"categories":430},[90],{"categories":432},[177],{"categories":434},[138],{"categories":436},[437],"Legal AI Tools",{"categories":439},[90],{"categories":441},[138],{"categories":443},[90],{"categories":445},[265],{"categories":447},[138],{"categories":449},[141],{"categories":451},[90],{"categories":453},[152],{"categories":455},[414],{"categories":457},[],{"categories":459},[138],{"categories":461},[],{"categories":463},[133],{"categories":465},[138],{"categories":467},[138],{"categories":469},[470],"RAG & Retrieval",{"categories":472},[133],{"categories":474},[90],{"categories":476},[152],{"categories":478},[152],{"categories":480},[308],{"categories":482},[232],{"categories":484},[138],{"categories":486},[90],{"categories":488},[90],{"categories":490},[90],{"categories":492},[90],{"categories":494},[],{"categories":496},[138],{"categories":498},[499],"Agents & Orchestration",{"categories":501},[152],{"categories":503},[90],{"categories":505},[],{"categories":507},[138],{"categories":509},[133],{"categories":511},[],{"categories":513},[90],{"categories":515},[],{"categories":517},[90],{"categories":519},[128],{"categories":521},[152],{"categories":523},[133],{"categories":525},[90],{"categories":527},[90],{"categories":529},[90],{"categories":531},[138],{"categories":533},[90],{"categories":535},[90],{"categories":537},[177],{"categories":539},[90],{"categories":541},[],{"categories":543},[90],{"categories":545},[90],{"categories":547},[],{"categories":549},[90],{"categories":551},[152],{"categories":553},[90],{"categories":555},[138],{"categories":557},[155],{"categories":559},[],{"categories":561},[90],{"categories":563},[90],{"categories":565},[232],{"categories":567},[568],"Models & Frontier Labs",{"categories":570},[],{"categories":572},[232],{"categories":574},[575],"Regulation & Governance of AI",{"categories":577},[141],{"categories":579},[138],{"categories":581},[],{"categories":583},[90],{"categories":585},[90],{"categories":587},[138],{"categories":589},[138],{"categories":591},[177],{"categories":593},[90],{"categories":595},[133],{"categories":597},[90],{"categories":599},[138],{"categories":601},[],{"categories":603},[152],{"categories":605},[138],{"categories":607},[90],{"categories":609},[141],{"categories":611},[90],{"categories":613},[614],"AI Policy & Regulation",{"categories":616},[],{"categories":618},[90],{"categories":620},[138],{"categories":622},[138],{"categories":624},[141],{"categories":626},[138],{"categories":628},[90],{"categories":630},[90],{"categories":632},[90],{"categories":634},[138],{"categories":636},[],{"categories":638},[155],{"categories":640},[641],"Evals & Reliability",{"categories":643},[90],{"categories":645},[90],{"categories":647},[],{"categories":649},[155],{"categories":651},[128],{"categories":653},[414],{"categories":655},[614],{"categories":657},[90],{"categories":659},[90],{"categories":661},[133],{"categories":663},[90],{"categories":665},[138],{"categories":667},[90],{"categories":669},[138],{"categories":671},[499],{"categories":673},[90],{"categories":675},[152],{"categories":677},[90],{"categories":679},[90],{"categories":681},[],{"categories":683},[232],{"categories":685},[],{"categories":687},[90],{"categories":689},[90],{"categories":691},[414],{"categories":693},[90],{"categories":695},[90],{"categories":697},[90],{"categories":699},[],{"categories":701},[90],{"categories":703},[232],{"categories":705},[152],{"categories":707},[],{"categories":709},[90],{"categories":711},[],{"categories":713},[138],{"categories":715},[90],{"categories":717},[232],{"categories":719},[],{"categories":721},[90],{"categories":723},[90],{"categories":725},[155],{"categories":727},[138],{"categories":729},[90],{"categories":731},[133],{"categories":733},[138],{"categories":735},[90],{"categories":737},[90],{"categories":739},[152],{"categories":741},[232],{"categories":743},[90],{"categories":745},[138],{"categories":747},[],{"categories":749},[152],{"categories":751},[138],{"categories":753},[155],{"categories":755},[],{"categories":757},[90],{"categories":759},[177],{"categories":761},[90],{"categories":763},[],{"categories":765},[90],{"categories":767},[90],{"categories":769},[90],{"categories":771},[133,265],{"categories":773},[],{"categories":775},[152],{"categories":777},[90],{"categories":779},[90],{"categories":781},[138],{"categories":783},[90],{"categories":785},[90],{"categories":787},[],{"categories":789},[],{"categories":791},[90],{"categories":793},[90],{"categories":795},[232],{"categories":797},[90],{"categories":799},[],{"categories":801},[90],{"categories":803},[308],{"categories":805},[],{"categories":807},[138],{"categories":809},[177],{"categories":811},[90],{"categories":813},[133],{"categories":815},[90],{"categories":817},[152],{"categories":819},[232],{"categories":821},[],{"categories":823},[90],{"categories":825},[177],{"categories":827},[90],{"categories":829},[166],{"categories":831},[90],{"categories":833},[90],{"categories":835},[138],{"categories":837},[177],{"categories":839},[568],{"categories":841},[90],{"categories":843},[265],{"categories":845},[],{"categories":847},[138],{"categories":849},[133],{"categories":851},[152],{"categories":853},[90],{"categories":855},[138],{"categories":857},[],{"categories":859},[90,308],{"categories":861},[90],{"categories":863},[90],{"categories":865},[90],{"categories":867},[138],{"categories":869},[90,152],{"categories":871},[155],{"categories":873},[90],{"categories":875},[90],{"categories":877},[90],{"categories":879},[152],{"categories":881},[90],{"categories":883},[138],{"categories":885},[138],{"categories":887},[614],{"categories":889},[265],{"categories":891},[90],{"categories":893},[138],{"categories":895},[90],{"categories":897},[90],{"categories":899},[138],{"categories":901},[],{"categories":903},[138],{"categories":905},[90],{"categories":907},[90],{"categories":909},[138],{"categories":911},[90],{"categories":913},[90,133],{"categories":915},[90],{"categories":917},[90],{"categories":919},[133],{"categories":921},[],{"categories":923},[232],{"categories":925},[232],{"categories":927},[90],{"categories":929},[],{"categories":931},[],{"categories":933},[90],{"categories":935},[177],{"categories":937},[],{"categories":939},[128],{"categories":941},[90],{"categories":943},[152],{"categories":945},[138],{"categories":947},[90],{"categories":949},[950],"Generative UI & Design-to-Code",{"categories":952},[90],{"categories":954},[90],{"categories":956},[232],{"categories":958},[90],{"categories":960},[961],"Algorithmic Accountability",{"categories":963},[138],{"categories":965},[152],{"categories":967},[177],{"categories":969},[232],{"categories":971},[90],{"categories":973},[],{"categories":975},[141],{"categories":977},[90],{"categories":979},[90],{"categories":981},[90],{"categories":983},[90],{"categories":985},[90],{"categories":987},[138],{"categories":989},[990],"MLOps & Infrastructure",{"categories":992},[90],{"categories":994},[90],{"categories":996},[90],{"categories":998},[90],{"categories":1000},[90],{"categories":1002},[152],{"categories":1004},[177],{"categories":1006},[90],{"categories":1008},[90],{"categories":1010},[141],{"categories":1012},[128],{"categories":1014},[90],{"categories":1016},[138],{"categories":1018},[308],{"categories":1020},[90],{"categories":1022},[133],{"categories":1024},[90],{"categories":1026},[232],{"categories":1028},[90],{"categories":1030},[141],{"categories":1032},[90],{"categories":1034},[138],{"categories":1036},[],{"categories":1038},[],{"categories":1040},[90],{"categories":1042},[166],{"categories":1044},[232],{"categories":1046},[177],{"categories":1048},[155],{"categories":1050},[],{"categories":1052},[90],{"categories":1054},[90],{"categories":1056},[133],{"categories":1058},[138],{"categories":1060},[90],{"categories":1062},[90],{"categories":1064},[90],{"categories":1066},[90],{"categories":1068},[90],{"categories":1070},[177],{"categories":1072},[166],{"categories":1074},[90],{"categories":1076},[232],{"categories":1078},[90],{"categories":1080},[],{"categories":1082},[138],{"categories":1084},[152],{"categories":1086},[],{"categories":1088},[90],{"categories":1090},[90],{"categories":1092},[138],{"categories":1094},[152],{"categories":1096},[90],{"categories":1098},[155],{"categories":1100},[232],{"categories":1102},[],{"categories":1104},[90],{"categories":1106},[],{"categories":1108},[90],{"categories":1110},[],{"categories":1112},[90],{"categories":1114},[90],{"categories":1116},[141],{"categories":1118},[133],{"categories":1120},[138],{"categories":1122},[138],{"categories":1124},[152],{"categories":1126},[],{"categories":1128},[90],{"categories":1130},[128],{"categories":1132},[90],{"categories":1134},[90],{"categories":1136},[133],{"categories":1138},[177],{"categories":1140},[128],{"categories":1142},[],{"categories":1144},[90],{"categories":1146},[],{"categories":1148},[90],{"categories":1150},[],{"categories":1152},[90],{"categories":1154},[177],{"categories":1156},[177],{"categories":1158},[],{"categories":1160},[499],{"categories":1162},[90],{"categories":1164},[232],{"categories":1166},[152],{"categories":1168},[],{"categories":1170},[437],{"categories":1172},[138],{"categories":1174},[138],{"categories":1176},[133],{"categories":1178},[90],{"categories":1180},[],{"categories":1182},[],{"categories":1184},[128],{"categories":1186},[155],{"categories":1188},[],{"categories":1190},[265],{"categories":1192},[138],{"categories":1194},[133],{"categories":1196},[138],{"categories":1198},[90],{"categories":1200},[133],{"categories":1202},[90],{"categories":1204},[152],{"categories":1206},[],{"categories":1208},[166],{"categories":1210},[141],{"categories":1212},[90],{"categories":1214},[232],{"categories":1216},[152],{"categories":1218},[133],{"categories":1220},[90],{"categories":1222},[152],{"categories":1224},[90],{"categories":1226},[138],{"categories":1228},[133],{"categories":1230},[90],{"categories":1232},[90],{"categories":1234},[90],{"categories":1236},[90],{"categories":1238},[90],{"categories":1240},[90],{"categories":1242},[],{"categories":1244},[],{"categories":1246},[152],{"categories":1248},[155],{"categories":1250},[141],{"categories":1252},[90],{"categories":1254},[138],{"categories":1256},[152],{"categories":1258},[152],{"categories":1260},[90],{"categories":1262},[],{"categories":1264},[90],{"categories":1266},[177],{"categories":1268},[141],{"categories":1270},[141],{"categories":1272},[152],{"categories":1274},[90],{"categories":1276},[641],{"categories":1278},[308],{"categories":1280},[],{"categories":1282},[138],{"categories":1284},[90],{"categories":1286},[128],{"categories":1288},[],{"categories":1290},[128],{"categories":1292},[],{"categories":1294},[90],{"categories":1296},[90],{"categories":1298},[90],{"categories":1300},[232],{"categories":1302},[265],{"categories":1304},[141],{"categories":1306},[90],{"categories":1308},[152],{"categories":1310},[90],{"categories":1312},[138],{"categories":1314},[],{"categories":1316},[152],{"categories":1318},[90],{"categories":1320},[128],{"categories":1322},[],{"categories":1324},[133],{"categories":1326},[90],{"categories":1328},[90],{"categories":1330},[177],{"categories":1332},[90,308],{"categories":1334},[90],{"categories":1336},[1337],"Design Systems for AI",{"categories":1339},[90],{"categories":1341},[90],{"categories":1343},[177],{"categories":1345},[90],{"categories":1347},[90],{"categories":1349},[90],{"categories":1351},[133],{"categories":1353},[90],{"categories":1355},[90],{"categories":1357},[90],{"categories":1359},[],{"categories":1361},[90],{"categories":1363},[90],{"categories":1365},[133],{"categories":1367},[90],{"categories":1369},[],{"categories":1371},[138],{"categories":1373},[138],{"categories":1375},[152],{"categories":1377},[90],{"categories":1379},[177],{"categories":1381},[152],{"categories":1383},[90],{"categories":1385},[232],{"categories":1387},[177],{"categories":1389},[155],{"categories":1391},[90],{"categories":1393},[90],{"categories":1395},[90],{"categories":1397},[90],{"categories":1399},[138],{"categories":1401},[128],{"categories":1403},[614],{"categories":1405},[90],{"categories":1407},[90],{"categories":1409},[138],{"categories":1411},[90],{"categories":1413},[152],{"categories":1415},[90],{"categories":1417},[152],{"categories":1419},[],{"categories":1421},[232],{"categories":1423},[],{"categories":1425},[90],{"categories":1427},[138],{"categories":1429},[141],{"categories":1431},[],{"categories":1433},[133],{"categories":1435},[90],{"categories":1437},[],{"categories":1439},[232],{"categories":1441},[152],{"categories":1443},[138],{"categories":1445},[152],{"categories":1447},[90],{"categories":1449},[232],{"categories":1451},[90],{"categories":1453},[152],{"categories":1455},[90],{"categories":1457},[90],{"categories":1459},[232],{"categories":1461},[],{"categories":1463},[],{"categories":1465},[177],{"categories":1467},[138],{"categories":1469},[138],{"categories":1471},[90],{"categories":1473},[138],{"categories":1475},[90],{"categories":1477},[90],{"categories":1479},[90],{"categories":1481},[90],{"categories":1483},[90],{"categories":1485},[90],{"categories":1487},[133],{"categories":1489},[141],{"categories":1491},[90],{"categories":1493},[90],{"categories":1495},[],{"categories":1497},[152],{"categories":1499},[152],{"categories":1501},[90],{"categories":1503},[152],{"categories":1505},[133],{"categories":1507},[],{"categories":1509},[90],{"categories":1511},[90],{"categories":1513},[232],{"categories":1515},[90],{"categories":1517},[90],{"categories":1519},[90],{"categories":1521},[138],{"categories":1523},[128],{"categories":1525},[133],{"categories":1527},[90],{"categories":1529},[138],{"categories":1531},[177],{"categories":1533},[138],{"categories":1535},[166],{"categories":1537},[265],{"categories":1539},[90],{"categories":1541},[138],{"categories":1543},[90],{"categories":1545},[90],{"categories":1547},[90],{"categories":1549},[90],{"categories":1551},[],{"categories":1553},[232],{"categories":1555},[],{"categories":1557},[90],{"categories":1559},[90],{"categories":1561},[],{"categories":1563},[90],{"categories":1565},[90],{"categories":1567},[152],{"categories":1569},[133],{"categories":1571},[1572],"Visual & Generative Media",{"categories":1574},[138],{"categories":1576},[],{"categories":1578},[90],{"categories":1580},[90],{"categories":1582},[152],{"categories":1584},[90],{"categories":1586},[308],{"categories":1588},[90],{"categories":1590},[155],{"categories":1592},[614],{"categories":1594},[152],{"categories":1596},[265],{"categories":1598},[90],{"categories":1600},[141],{"categories":1602},[232],{"categories":1604},[90],{"categories":1606},[90],{"categories":1608},[152],{"categories":1610},[138],{"categories":1612},[90],{"categories":1614},[],{"categories":1616},[],{"categories":1618},[138],{"categories":1620},[152],{"categories":1622},[128],{"categories":1624},[138],{"categories":1626},[568],{"categories":1628},[90],{"categories":1630},[141],{"categories":1632},[90],{"categories":1634},[133],{"categories":1636},[],{"categories":1638},[90],{"categories":1640},[141],{"categories":1642},[90],{"categories":1644},[90],{"categories":1646},[90],{"categories":1648},[141],{"categories":1650},[90],{"categories":1652},[90],{"categories":1654},[265],{"categories":1656},[90],{"categories":1658},[499],{"categories":1660},[152],{"categories":1662},[138],{"categories":1664},[90],{"categories":1666},[138],{"categories":1668},[90],{"categories":1670},[90],{"categories":1672},[138],{"categories":1674},[90],{"categories":1676},[90],{"categories":1678},[90],{"categories":1680},[138],{"categories":1682},[90],{"categories":1684},[232],{"categories":1686},[138],{"categories":1688},[],{"categories":1690},[138],{"categories":1692},[90],{"categories":1694},[],{"categories":1696},[308],{"categories":1698},[152],{"categories":1700},[],{"categories":1702},[568],{"categories":1704},[90],{"categories":1706},[138],{"categories":1708},[138],{"categories":1710},[90],{"categories":1712},[232,90],{"categories":1714},[90],{"categories":1716},[128],{"categories":1718},[90],{"categories":1720},[138],{"categories":1722},[232],{"categories":1724},[],{"categories":1726},[90],{"categories":1728},[128],{"categories":1730},[90],{"categories":1732},[1733],"Medical Imaging & Radiology",{"categories":1735},[90],{"categories":1737},[90],{"categories":1739},[90],{"categories":1741},[232],{"categories":1743},[138],{"categories":1745},[138],{"categories":1747},[152],{"categories":1749},[],{"categories":1751},[90],{"categories":1753},[90],{"categories":1755},[90],{"categories":1757},[],{"categories":1759},[],{"categories":1761},[90],{"categories":1763},[90],{"categories":1765},[499],{"categories":1767},[90],{"categories":1769},[128],{"categories":1771},[90],{"categories":1773},[90],{"categories":1775},[],{"categories":1777},[138],{"categories":1779},[90],{"categories":1781},[141],{"categories":1783},[152],{"categories":1785},[90],{"categories":1787},[138],{"categories":1789},[499],{"categories":1791},[90],{"categories":1793},[138],{"categories":1795},[90],{"categories":1797},[90],{"categories":1799},[90],{"categories":1801},[90],{"categories":1803},[232],{"categories":1805},[138],{"categories":1807},[308],{"categories":1809},[232],{"categories":1811},[133],{"categories":1813},[138],{"categories":1815},[177],{"categories":1817},[90],{"categories":1819},[90],{"categories":1821},[141],{"categories":1823},[90],{"categories":1825},[90],{"categories":1827},[90],{"categories":1829},[90],{"categories":1831},[90],{"categories":1833},[138],{"categories":1835},[90],{"categories":1837},[152],{"categories":1839},[152],{"categories":1841},[90],{"categories":1843},[141],{"categories":1845},[],{"categories":1847},[177],{"categories":1849},[],{"categories":1851},[141],{"categories":1853},[138],{"categories":1855},[90],{"categories":1857},[90],{"categories":1859},[138],{"categories":1861},[90],{"categories":1863},[1337],{"categories":1865},[90],{"categories":1867},[1337],{"categories":1869},[232],{"categories":1871},[90],{"categories":1873},[90],{"categories":1875},[90],{"categories":1877},[138],{"categories":1879},[152],{"categories":1881},[232],{"categories":1883},[138],{"categories":1885},[177],{"categories":1887},[],{"categories":1889},[90],{"categories":1891},[],{"categories":1893},[90],{"categories":1895},[90],{"categories":1897},[138],{"categories":1899},[90],{"categories":1901},[90],{"categories":1903},[90],{"categories":1905},[138],{"categories":1907},[1908],"Contract Review & E-Discovery",{"categories":1910},[90],{"categories":1912},[232],{"categories":1914},[90],{"categories":1916},[128],{"categories":1918},[90],{"categories":1920},[177],{"categories":1922},[90],{"categories":1924},[90],{"categories":1926},[265],{"categories":1928},[152],{"categories":1930},[138],{"categories":1932},[90],{"categories":1934},[90],{"categories":1936},[90],{"categories":1938},[138],{"categories":1940},[138],{"categories":1942},[961],{"categories":1944},[90],{"categories":1946},[90],{"categories":1948},[138],{"categories":1950},[138],{"categories":1952},[90],{"categories":1954},[90],{"categories":1956},[90],{"categories":1958},[138],{"categories":1960},[90],{"categories":1962},[152],{"categories":1964},[90],{"categories":1966},[499],{"categories":1968},[470],{"categories":1970},[90],{"categories":1972},[138],{"categories":1974},[90],{"categories":1976},[1977],"Law-Firm Practice & Adoption",{"categories":1979},[90],{"categories":1981},[138],{"categories":1983},[232],{"categories":1985},[90],{"categories":1987},[90],{"categories":1989},[90],{"categories":1991},[],{"categories":1993},[152],{"categories":1995},[],{"categories":1997},[152],{"categories":1999},[90],{"categories":2001},[],{"categories":2003},[152],{"categories":2005},[138],{"categories":2007},[128],{"categories":2009},[308],{"categories":2011},[90],{"categories":2013},[],{"categories":2015},[90],{"categories":2017},[128],{"categories":2019},[138],{"categories":2021},[133],{"categories":2023},[90],{"categories":2025},[265],{"categories":2027},[90],{"categories":2029},[],{"categories":2031},[133],{"categories":2033},[138],{"categories":2035},[133],{"categories":2037},[],{"categories":2039},[90],{"categories":2041},[141],{"categories":2043},[90],{"categories":2045},[152],{"categories":2047},[],{"categories":2049},[],{"categories":2051},[],{"categories":2053},[],{"categories":2055},[90],{"categories":2057},[141],{"categories":2059},[138],{"categories":2061},[308],{"categories":2063},[90],{"categories":2065},[128],{"categories":2067},[152],{"categories":2069},[90],{"categories":2071},[90],{"categories":2073},[152],{"categories":2075},[141],{"categories":2077},[90],{"categories":2079},[90],{"categories":2081},[90],{"categories":2083},[990],{"categories":2085},[90],{"categories":2087},[152],{"categories":2089},[90],{"categories":2091},[265],{"categories":2093},[152],{"categories":2095},[133],{"categories":2097},[90],{"categories":2099},[90],{"categories":2101},[90],{"categories":2103},[232],{"categories":2105},[90],{"categories":2107},[90],{"categories":2109},[90],{"categories":2111},[90],{"categories":2113},[133],{"categories":2115},[138],{"categories":2117},[90,128],{"categories":2119},[90],{"categories":2121},[499],{"categories":2123},[90],{"categories":2125},[90],{"categories":2127},[152],{"categories":2129},[90],{"categories":2131},[152],{"categories":2133},[232],{"categories":2135},[138],{"categories":2137},[138],{"categories":2139},[152],{"categories":2141},[90],{"categories":2143},[138],{"categories":2145},[90],{"categories":2147},[90],{"categories":2149},[],{"categories":2151},[],{"categories":2153},[90],{"categories":2155},[155],{"categories":2157},[90],{"categories":2159},[90],{"categories":2161},[232],{"categories":2163},[138],{"categories":2165},[],{"categories":2167},[90],{"categories":2169},[90],{"categories":2171},[133],{"categories":2173},[152],{"categories":2175},[155],{"categories":2177},[177],{"categories":2179},[141],{"categories":2181},[232],{"categories":2183},[90],{"categories":2185},[138],{"categories":2187},[90],{"categories":2189},[152],{"categories":2191},[],{"categories":2193},[138],{"categories":2195},[138],{"categories":2197},[90],{"categories":2199},[90],{"categories":2201},[90],{"categories":2203},[90],{"categories":2205},[90],{"categories":2207},[90],{"categories":2209},[],{"categories":2211},[138],{"categories":2213},[90],{"categories":2215},[90],{"categories":2217},[90],{"categories":2219},[],{"categories":2221},[138],{"categories":2223},[138],{"categories":2225},[90],{"categories":2227},[90],{"categories":2229},[133],{"categories":2231},[90],{"categories":2233},[90],{"categories":2235},[],{"categories":2237},[128],{"categories":2239},[90],{"categories":2241},[90],{"categories":2243},[90],{"categories":2245},[232],{"categories":2247},[90],{"categories":2249},[152],{"categories":2251},[90],{"categories":2253},[128],{"categories":2255},[90],{"categories":2257},[152],{"categories":2259},[265],{"categories":2261},[152],{"categories":2263},[138],{"categories":2265},[138],{"categories":2267},[90],{"categories":2269},[90],{"categories":2271},[90,232],{"categories":2273},[90],{"categories":2275},[138],{"categories":2277},[177],{"categories":2279},[90],{"categories":2281},[177],{"categories":2283},[138],{"categories":2285},[232],{"categories":2287},[90],{"categories":2289},[],{"categories":2291},[152],{"categories":2293},[308],{"categories":2295},[232],{"categories":2297},[152],{"categories":2299},[90],{"categories":2301},[141],{"categories":2303},[90],{"categories":2305},[90],{"categories":2307},[138],{"categories":2309},[],{"categories":2311},[],{"categories":2313},[90],{"categories":2315},[],{"categories":2317},[],{"categories":2319},[141],{"categories":2321},[152],{"categories":2323},[90],{"categories":2325},[90],{"categories":2327},[138],{"categories":2329},[90],{"categories":2331},[138],{"categories":2333},[133],{"categories":2335},[138],{"categories":2337},[308],{"categories":2339},[90],{"categories":2341},[90],{"categories":2343},[90],{"categories":2345},[166],{"categories":2347},[90],{"categories":2349},[90],{"categories":2351},[90],{"categories":2353},[90],{"categories":2355},[152],{"categories":2357},[138],{"categories":2359},[90],{"categories":2361},[90],{"categories":2363},[90],{"categories":2365},[90],{"categories":2367},[152],{"categories":2369},[437],{"categories":2371},[138],{"categories":2373},[961],{"categories":2375},[],{"categories":2377},[138],{"categories":2379},[232],{"categories":2381},[1977],{"categories":2383},[152],{"categories":2385},[],{"categories":2387},[138],{"categories":2389},[],{"categories":2391},[90],{"categories":2393},[138],{"categories":2395},[],{"categories":2397},[],{"categories":2399},[90],{"categories":2401},[90],{"categories":2403},[265],{"categories":2405},[90],{"categories":2407},[265],{"categories":2409},[90],{"categories":2411},[138],{"categories":2413},[90],{"categories":2415},[90],{"categories":2417},[155],{"categories":2419},[90],{"categories":2421},[152],{"categories":2423},[141],{"categories":2425},[],{"categories":2427},[90],{"categories":2429},[90],{"categories":2431},[90],{"categories":2433},[152],{"categories":2435},[90],{"categories":2437},[1908],{"categories":2439},[90],{"categories":2441},[232],{"categories":2443},[232],{"categories":2445},[90],{"categories":2447},[90],{"categories":2449},[138],{"categories":2451},[128],{"categories":2453},[90],{"categories":2455},[90],{"categories":2457},[90],{"categories":2459},[90],{"categories":2461},[232],{"categories":2463},[232],{"categories":2465},[138],{"categories":2467},[138],{"categories":2469},[138],{"categories":2471},[90],{"categories":2473},[90],{"categories":2475},[90],{"categories":2477},[138],{"categories":2479},[],{"categories":2481},[90],{"categories":2483},[],{"categories":2485},[232],{"categories":2487},[2488],"Interaction & Product Design",{"categories":2490},[90],{"categories":2492},[138],{"categories":2494},[152],{"categories":2496},[343],{"categories":2498},[177],{"categories":2500},[152],{"categories":2502},[90],{"categories":2504},[141],{"categories":2506},[90],{"categories":2508},[90],{"categories":2510},[152],{"categories":2512},[90],{"categories":2514},[128],{"categories":2516},[138],{"categories":2518},[90],{"categories":2520},[],{"categories":2522},[138],{"categories":2524},[138],{"categories":2526},[138],{"categories":2528},[],{"categories":2530},[152],{"categories":2532},[90],{"categories":2534},[138],{"categories":2536},[128],{"categories":2538},[2488],{"categories":2540},[90],{"categories":2542},[128],{"categories":2544},[128],{"categories":2546},[90],{"categories":2548},[],{"categories":2550},[90],{"categories":2552},[138],{"categories":2554},[152],{"categories":2556},[],{"categories":2558},[138],{"categories":2560},[141],{"categories":2562},[177],{"categories":2564},[90],{"categories":2566},[138],{"categories":2568},[90],{"categories":2570},[138],{"categories":2572},[138],{"categories":2574},[90],{"categories":2576},[90],{"categories":2578},[177],{"categories":2580},[155],{"categories":2582},[90],{"categories":2584},[141],{"categories":2586},[152],{"categories":2588},[2589],"Coding Agents & Dev Productivity",{"categories":2591},[177],{"categories":2593},[232],{"categories":2595},[90],{"categories":2597},[90],{"categories":2599},[],{"categories":2601},[90],{"categories":2603},[90],{"categories":2605},[961],{"categories":2607},[],{"categories":2609},[90],{"categories":2611},[90],{"categories":2613},[308],{"categories":2615},[90],{"categories":2617},[177],{"categories":2619},[],{"categories":2621},[],{"categories":2623},[90],{"categories":2625},[],{"categories":2627},[138],{"categories":2629},[90],{"categories":2631},[138],{"categories":2633},[],{"categories":2635},[152],{"categories":2637},[152],{"categories":2639},[90],{"categories":2641},[155],{"categories":2643},[],{"categories":2645},[90],{"categories":2647},[90],{"categories":2649},[90],{"categories":2651},[155],{"categories":2653},[152],{"categories":2655},[138],{"categories":2657},[],{"categories":2659},[],{"categories":2661},[90],{"categories":2663},[90],{"categories":2665},[90],{"categories":2667},[90],{"categories":2669},[138],{"categories":2671},[138],{"categories":2673},[414],{"categories":2675},[152],{"categories":2677},[141],{"categories":2679},[152],{"categories":2681},[138],{"categories":2683},[177],{"categories":2685},[177],{"categories":2687},[138],{"categories":2689},[138],{"categories":2691},[90],{"categories":2693},[128],{"categories":2695},[2488],{"categories":2697},[141],{"categories":2699},[90,308],{"categories":2701},[155],{"categories":2703},[],{"categories":2705},[232],{"categories":2707},[138],{"categories":2709},[152],{"categories":2711},[128],{"categories":2713},[90],{"categories":2715},[138],{"categories":2717},[2718],"The Designer's Role & Craft",{"categories":2720},[232],{"categories":2722},[],{"categories":2724},[138],{"categories":2726},[90],{"categories":2728},[138],{"categories":2730},[138],{"categories":2732},[90],{"categories":2734},[265],{"categories":2736},[90],{"categories":2738},[152],{"categories":2740},[138],{"categories":2742},[90],{"categories":2744},[232],{"categories":2746},[90],{"categories":2748},[],{"categories":2750},[138],{"categories":2752},[232],{"categories":2754},[141],{"categories":2756},[90],{"categories":2758},[138],{"categories":2760},[90],{"categories":2762},[90],{"categories":2764},[90],{"categories":2766},[2767],"AI UX Patterns",{"categories":2769},[138],{"categories":2771},[138],{"categories":2773},[138],{"categories":2775},[90],{"categories":2777},[90],{"categories":2779},[138],{"categories":2781},[265],{"categories":2783},[155],{"categories":2785},[90],{"categories":2787},[138],{"categories":2789},[90],{"categories":2791},[1337],{"categories":2793},[],{"categories":2795},[265],{"categories":2797},[138],{"categories":2799},[177],{"categories":2801},[152],{"categories":2803},[90],{"categories":2805},[138],{"categories":2807},[],{"categories":2809},[],{"categories":2811},[90],{"categories":2813},[90],{"categories":2815},[138],{"categories":2817},[90],{"categories":2819},[138],{"categories":2821},[414],{"categories":2823},[232],{"categories":2825},[90],{"categories":2827},[177],{"categories":2829},[152],{"categories":2831},[90],{"categories":2833},[138],{"categories":2835},[138],{"categories":2837},[],{"categories":2839},[90],{"categories":2841},[],{"categories":2843},[90],{"categories":2845},[],{"categories":2847},[90],{"categories":2849},[90],{"categories":2851},[90],{"categories":2853},[138],{"categories":2855},[90],{"categories":2857},[152],{"categories":2859},[],{"categories":2861},[],{"categories":2863},[155],{"categories":2865},[166],{"categories":2867},[90],{"categories":2869},[90],{"categories":2871},[90],{"categories":2873},[155],{"categories":2875},[155],{"categories":2877},[90],{"categories":2879},[90],{"categories":2881},[177],{"categories":2883},[90],{"categories":2885},[90],{"categories":2887},[90],{"categories":2889},[138],{"categories":2891},[90],{"categories":2893},[90],{"categories":2895},[138],{"categories":2897},[90],{"categories":2899},[90],{"categories":2901},[90],{"categories":2903},[138],{"categories":2905},[],{"categories":2907},[90],{"categories":2909},[],{"categories":2911},[90],{"categories":2913},[90],{"categories":2915},[308],{"categories":2917},[90],{"categories":2919},[],{"categories":2921},[],{"categories":2923},[232],{"categories":2925},[990],{"categories":2927},[138],{"categories":2929},[128],{"categories":2931},[2718],{"categories":2933},[],{"categories":2935},[],{"categories":2937},[90],{"categories":2939},[],{"categories":2941},[],{"categories":2943},[152],{"categories":2945},[177],{"categories":2947},[265],{"categories":2949},[155],{"categories":2951},[138],{"categories":2953},[133],{"categories":2955},[90],{"categories":2957},[90],{"categories":2959},[133],{"categories":2961},[],{"categories":2963},[232],{"categories":2965},[141],{"categories":2967},[90],{"categories":2969},[90],{"categories":2971},[138],{"categories":2973},[133],{"categories":2975},[90],{"categories":2977},[90],{"categories":2979},[128],{"categories":2981},[90],{"categories":2983},[133],{"categories":2985},[90],{"categories":2987},[],{"categories":2989},[128],{"categories":2991},[90],{"categories":2993},[265],{"categories":2995},[90],{"categories":2997},[152],{"categories":2999},[138],{"categories":3001},[177],{"categories":3003},[90],{"categories":3005},[152],{"categories":3007},[90],{"categories":3009},[90],{"categories":3011},[90],{"categories":3013},[90],{"categories":3015},[133],{"categories":3017},[90],{"categories":3019},[90],{"categories":3021},[90],{"categories":3023},[138],{"categories":3025},[90],{"categories":3027},[90],{"categories":3029},[90],{"categories":3031},[],{"categories":3033},[90],{"categories":3035},[152],{"categories":3037},[128],{"categories":3039},[90],{"categories":3041},[90],{"categories":3043},[232],{"categories":3045},[90],{"categories":3047},[],{"categories":3049},[90],{"categories":3051},[499],{"categories":3053},[138],{"categories":3055},[133],{"categories":3057},[90],{"categories":3059},[177],{"categories":3061},[90],{"categories":3063},[90],{"categories":3065},[],{"categories":3067},[133],{"categories":3069},[133],{"categories":3071},[90],{"categories":3073},[90],{"categories":3075},[141],{"categories":3077},[90],{"categories":3079},[90],{"categories":3081},[90],{"categories":3083},[90],{"categories":3085},[152],{"categories":3087},[155],{"categories":3089},[152],{"categories":3091},[90],{"categories":3093},[],{"categories":3095},[90],{"categories":3097},[152],{"categories":3099},[90],{"categories":3101},[152],{"categories":3103},[138],{"categories":3105},[614],{"categories":3107},[],{"categories":3109},[],{"categories":3111},[90],{"categories":3113},[177],{"categories":3115},[],{"categories":3117},[308],{"categories":3119},[90],{"categories":3121},[90],{"categories":3123},[90],{"categories":3125},[232],{"categories":3127},[950],{"categories":3129},[],{"categories":3131},[90],{"categories":3133},[90],{"categories":3135},[90],{"categories":3137},[152],{"categories":3139},[90],{"categories":3141},[90],{"categories":3143},[90],{"categories":3145},[90],{"categories":3147},[90,308],{"categories":3149},[90],{"categories":3151},[90],{"categories":3153},[232],{"categories":3155},[138],{"categories":3157},[],{"categories":3159},[138],{"categories":3161},[138],{"categories":3163},[90],{"categories":3165},[90],{"categories":3167},[90],{"categories":3169},[90],{"categories":3171},[90],{"categories":3173},[155],{"categories":3175},[90],{"categories":3177},[90],{"categories":3179},[2767],{"categories":3181},[128],{"categories":3183},[90],{"categories":3185},[155],{"categories":3187},[128],{"categories":3189},[152],{"categories":3191},[232],{"categories":3193},[138],{"categories":3195},[90],{"categories":3197},[90],{"categories":3199},[],{"categories":3201},[133],{"categories":3203},[90],{"categories":3205},[90],{"categories":3207},[177],{"categories":3209},[90],{"categories":3211},[90],{"categories":3213},[90],{"categories":3215},[138],{"categories":3217},[90],{"categories":3219},[90],{"categories":3221},[232],{"categories":3223},[90],{"categories":3225},[133],{"categories":3227},[],{"categories":3229},[308],{"categories":3231},[90],{"categories":3233},[414],{"categories":3235},[232],{"categories":3237},[232],{"categories":3239},[152],{"categories":3241},[138],{"categories":3243},[90],{"categories":3245},[133],{"categories":3247},[177],{"categories":3249},[90],{"categories":3251},[90],{"categories":3253},[90],{"categories":3255},[232],{"categories":3257},[138],{"categories":3259},[90],{"categories":3261},[138],{"categories":3263},[90],{"categories":3265},[138],{"categories":3267},[90],{"categories":3269},[568],{"categories":3271},[90],{"categories":3273},[138],{"categories":3275},[],{"categories":3277},[90],{"categories":3279},[90],{"categories":3281},[90],{"categories":3283},[90],{"categories":3285},[138],{"categories":3287},[],{"categories":3289},[],{"categories":3291},[90],{"categories":3293},[90],{"categories":3295},[138],{"categories":3297},[90],{"categories":3299},[90],{"categories":3301},[90],{"categories":3303},[152],{"categories":3305},[90],{"categories":3307},[90],{"categories":3309},[138],{"categories":3311},[90],{"categories":3313},[90],{"categories":3315},[90],{"categories":3317},[90],{"categories":3319},[90],{"categories":3321},[],{"categories":3323},[152],{"categories":3325},[155],{"categories":3327},[90],{"categories":3329},[138],{"categories":3331},[138],{"categories":3333},[90],{"categories":3335},[90],{"categories":3337},[],{"categories":3339},[],{"categories":3341},[90],{"categories":3343},[90],{"categories":3345},[90],{"categories":3347},[177],{"categories":3349},[155],{"categories":3351},[],{"categories":3353},[90],{"categories":3355},[232],{"categories":3357},[90],{"categories":3359},[90],{"categories":3361},[308],{"categories":3363},[1977],{"categories":3365},[90],{"categories":3367},[177],{"categories":3369},[152],{"categories":3371},[90],{"categories":3373},[152],{"categories":3375},[152],{"categories":3377},[90],{"categories":3379},[90],{"categories":3381},[152],{"categories":3383},[177],{"categories":3385},[177],{"categories":3387},[308],{"categories":3389},[138],{"categories":3391},[],{"categories":3393},[177],{"categories":3395},[133],{"categories":3397},[90],{"categories":3399},[138],{"categories":3401},[128],{"categories":3403},[152],{"categories":3405},[90],{"categories":3407},[133],{"categories":3409},[177],{"categories":3411},[],{"categories":3413},[90],{"categories":3415},[152],{"categories":3417},[90],{"categories":3419},[152],{"categories":3421},[155],{"categories":3423},[90],{"categories":3425},[177],{"categories":3427},[90],{"categories":3429},[152],{"categories":3431},[138],{"categories":3433},[138],{"categories":3435},[177],{"categories":3437},[138],{"categories":3439},[308],{"categories":3441},[138],{"categories":3443},[90],{"categories":3445},[90],{"categories":3447},[90],{"categories":3449},[90],{"categories":3451},[90],{"categories":3453},[90],{"categories":3455},[152],{"categories":3457},[90],{"categories":3459},[],{"categories":3461},[138],{"categories":3463},[133],{"categories":3465},[152],{"categories":3467},[],{"categories":3469},[],{"categories":3471},[90],{"categories":3473},[138],{"categories":3475},[90],{"categories":3477},[90],{"categories":3479},[90],{"categories":3481},[3482],"Frameworks & Tooling",{"categories":3484},[90],{"categories":3486},[90],{"categories":3488},[152],{"categories":3490},[90],{"categories":3492},[90],{"categories":3494},[],{"categories":3496},[155],{"categories":3498},[155],{"categories":3500},[90],{"categories":3502},[128],{"categories":3504},[90],{"categories":3506},[138],{"categories":3508},[90],{"categories":3510},[232],{"categories":3512},[],{"categories":3514},[1977],{"categories":3516},[90],{"categories":3518},[152],{"categories":3520},[90],{"categories":3522},[308],{"categories":3524},[308],{"categories":3526},[],{"categories":3528},[90],{"categories":3530},[138],{"categories":3532},[138],{"categories":3534},[90],{"categories":3536},[90],{"categories":3538},[177],{"categories":3540},[138],{"categories":3542},[177],{"categories":3544},[90],{"categories":3546},[138],{"categories":3548},[],{"categories":3550},[232],{"categories":3552},[90],{"categories":3554},[90],{"categories":3556},[],{"categories":3558},[90],{"categories":3560},[138],{"categories":3562},[90],{"categories":3564},[90],{"categories":3566},[90],{"categories":3568},[],{"categories":3570},[133],{"categories":3572},[152],{"categories":3574},[90],{"categories":3576},[152],{"categories":3578},[308],{"categories":3580},[90],{"categories":3582},[90],{"categories":3584},[90],{"categories":3586},[152],{"categories":3588},[90],{"categories":3590},[133],{"categories":3592},[90],{"categories":3594},[1977],{"categories":3596},[],{"categories":3598},[138],{"categories":3600},[128],{"categories":3602},[90],{"categories":3604},[128],{"categories":3606},[90],{"categories":3608},[],{"categories":3610},[138],{"categories":3612},[90],{"categories":3614},[90],{"categories":3616},[3617],"AI Design Tooling",{"categories":3619},[232],{"categories":3621},[90],{"categories":3623},[90],{"categories":3625},[152],{"categories":3627},[232],{"categories":3629},[90],{"categories":3631},[90],{"categories":3633},[152],{"categories":3635},[138],{"categories":3637},[177],{"categories":3639},[141],{"categories":3641},[152],{"categories":3643},[90],{"categories":3645},[90],{"categories":3647},[90],{"categories":3649},[138],{"categories":3651},[90],{"categories":3653},[],{"categories":3655},[138],{"categories":3657},[90],{"categories":3659},[90],{"categories":3661},[138],{"categories":3663},[90],{"categories":3665},[90],{"categories":3667},[90],{"categories":3669},[138],{"categories":3671},[],{"categories":3673},[138],{"categories":3675},[3482],{"categories":3677},[90],{"categories":3679},[90],{"categories":3681},[138],{"categories":3683},[138],{"categories":3685},[152],{"categories":3687},[152],{"categories":3689},[90],{"categories":3691},[90],{"categories":3693},[],{"categories":3695},[152],{"categories":3697},[90],{"categories":3699},[90],{"categories":3701},[138],{"categories":3703},[133],{"categories":3705},[90],{"categories":3707},[],{"categories":3709},[90],{"categories":3711},[90],{"categories":3713},[2488],{"categories":3715},[],{"categories":3717},[90],{"categories":3719},[90],{"categories":3721},[90],{"categories":3723},[90],{"categories":3725},[232],{"categories":3727},[90],{"categories":3729},[],{"categories":3731},[90],{"categories":3733},[90],{"categories":3735},[90],{"categories":3737},[90],{"categories":3739},[265],{"categories":3741},[177],{"categories":3743},[90],{"categories":3745},[90],{"categories":3747},[1977],{"categories":3749},[90],{"categories":3751},[128],{"categories":3753},[90],{"categories":3755},[90],{"categories":3757},[155],{"categories":3759},[138],{"categories":3761},[90],{"categories":3763},[90],{"categories":3765},[177],{"categories":3767},[138],{"categories":3769},[141],{"categories":3771},[],{"categories":3773},[90],{"categories":3775},[90],{"categories":3777},[232],{"categories":3779},[90],{"categories":3781},[265],{"categories":3783},[138],{"categories":3785},[90],{"categories":3787},[138],{"categories":3789},[90],{"categories":3791},[],{"categories":3793},[],{"categories":3795},[],{"categories":3797},[128],{"categories":3799},[177],{"categories":3801},[138],{"categories":3803},[90],{"categories":3805},[90],{"categories":3807},[90],{"categories":3809},[90],{"categories":3811},[437],{"categories":3813},[232],{"categories":3815},[138],{"categories":3817},[90],{"categories":3819},[],{"categories":3821},[90],{"categories":3823},[138],{"categories":3825},[138],{"categories":3827},[],{"categories":3829},[90],{"categories":3831},[138],{"categories":3833},[90],{"categories":3835},[],{"categories":3837},[141],{"categories":3839},[90],{"categories":3841},[90],{"categories":3843},[90],{"categories":3845},[177],{"categories":3847},[232],{"categories":3849},[138],{"categories":3851},[232],{"categories":3853},[138],{"categories":3855},[90],{"categories":3857},[133],{"categories":3859},[],{"categories":3861},[],{"categories":3863},[90],{"categories":3865},[90],{"categories":3867},[90],{"categories":3869},[128],{"categories":3871},[90],{"categories":3873},[138],{"categories":3875},[177],{"categories":3877},[],{"categories":3879},[232],{"categories":3881},[138],{"categories":3883},[],{"categories":3885},[152],{"categories":3887},[90],{"categories":3889},[152],{"categories":3891},[232],{"categories":3893},[152],{"categories":3895},[90],{"categories":3897},[],{"categories":3899},[90],{"categories":3901},[90],{"categories":3903},[138],{"categories":3905},[],{"categories":3907},[90],{"categories":3909},[90],{"categories":3911},[265],{"categories":3913},[90],{"categories":3915},[90],{"categories":3917},[90],{"categories":3919},[308],{"categories":3921},[152],{"categories":3923},[90],{"categories":3925},[138],{"categories":3927},[],{"categories":3929},[90],{"categories":3931},[138],{"categories":3933},[90],{"categories":3935},[128],{"categories":3937},[568],{"categories":3939},[90],{"categories":3941},[90],{"categories":3943},[90],{"categories":3945},[138],{"categories":3947},[90],{"categories":3949},[138],{"categories":3951},[90],{"categories":3953},[90],{"categories":3955},[90],{"categories":3957},[138],{"categories":3959},[141],{"categories":3961},[90],{"categories":3963},[90],{"categories":3965},[],{"categories":3967},[90],{"categories":3969},[90],{"categories":3971},[128],{"categories":3973},[90],{"categories":3975},[133],{"categories":3977},[152],{"categories":3979},[232],{"categories":3981},[],{"categories":3983},[90],{"categories":3985},[],{"categories":3987},[138],{"categories":3989},[90],{"categories":3991},[138],{"categories":3993},[],{"categories":3995},[138],{"categories":3997},[90],{"categories":3999},[152],{"categories":4001},[232],{"categories":4003},[177],{"categories":4005},[90],{"categories":4007},[177],{"categories":4009},[138],{"categories":4011},[90],{"categories":4013},[232],{"categories":4015},[90],{"categories":4017},[],{"categories":4019},[90],{"categories":4021},[166],{"categories":4023},[138],{"categories":4025},[90],{"categories":4027},[232],{"categories":4029},[177],{"categories":4031},[90],{"categories":4033},[133],{"categories":4035},[152],{"categories":4037},[90],{"categories":4039},[90],{"categories":4041},[90],{"categories":4043},[90],{"categories":4045},[90],{"categories":4047},[177],{"categories":4049},[152],{"categories":4051},[265],{"categories":4053},[],{"categories":4055},[],{"categories":4057},[155],{"categories":4059},[499],{"categories":4061},[90],{"categories":4063},[138],{"categories":4065},[90,152],{"categories":4067},[177],{"categories":4069},[90],{"categories":4071},[90],{"categories":4073},[90],{"categories":4075},[90],{"categories":4077},[90],{"categories":4079},[90],{"categories":4081},[90],{"categories":4083},[138],{"categories":4085},[90],{"categories":4087},[90],{"categories":4089},[138],{"categories":4091},[90],{"categories":4093},[90],{"categories":4095},[90],{"categories":4097},[],{"categories":4099},[90],{"categories":4101},[1337],{"categories":4103},[152],{"categories":4105},[232],{"categories":4107},[90],{"categories":4109},[90],{"categories":4111},[90],{"categories":4113},[90],{"categories":4115},[155],{"categories":4117},[138],{"categories":4119},[265],{"categories":4121},[308],{"categories":4123},[],{"categories":4125},[152],{"categories":4127},[90],{"categories":4129},[133],{"categories":4131},[138],{"categories":4133},[90],{"categories":4135},[128],{"categories":4137},[138],{"categories":4139},[90],{"categories":4141},[138],{"categories":4143},[138],{"categories":4145},[141],{"categories":4147},[152],{"categories":4149},[90],{"categories":4151},[90],{"categories":4153},[],{"categories":4155},[],{"categories":4157},[],{"categories":4159},[308],{"categories":4161},[90],{"categories":4163},[177],{"categories":4165},[90],{"categories":4167},[90],{"categories":4169},[90],{"categories":4171},[90],{"categories":4173},[152],{"categories":4175},[90],{"categories":4177},[],{"categories":4179},[90],{"categories":4181},[155],{"categories":4183},[133],{"categories":4185},[138],{"categories":4187},[90],{"categories":4189},[],{"categories":4191},[90],{"categories":4193},[138],{"categories":4195},[152],{"categories":4197},[90],{"categories":4199},[90],{"categories":4201},[90],{"categories":4203},[308],{"categories":4205},[],{"categories":4207},[232],{"categories":4209},[232],{"categories":4211},[90],{"categories":4213},[138],{"categories":4215},[],{"categories":4217},[152],{"categories":4219},[90],{"categories":4221},[232],{"categories":4223},[90],{"categories":4225},[133],{"categories":4227},[138],{"categories":4229},[90],{"categories":4231},[],{"categories":4233},[177],{"categories":4235},[90],{"categories":4237},[90],{"categories":4239},[90],{"categories":4241},[90],{"categories":4243},[90],{"categories":4245},[232],{"categories":4247},[138],{"categories":4249},[177],{"categories":4251},[],{"categories":4253},[138],{"categories":4255},[90],{"categories":4257},[133],{"categories":4259},[138],{"categories":4261},[232],{"categories":4263},[90],{"categories":4265},[90],{"categories":4267},[90],{"categories":4269},[499],{"categories":4271},[90],{"categories":4273},[138],{"categories":4275},[],{"categories":4277},[90],{"categories":4279},[90],{"categories":4281},[308],{"categories":4283},[177],{"categories":4285},[155],{"categories":4287},[614],{"categories":4289},[155],{"categories":4291},[155],{"categories":4293},[90],{"categories":4295},[],{"categories":4297},[],{"categories":4299},[],{"categories":4301},[138],{"categories":4303},[90],{"categories":4305},[90],{"categories":4307},[138],{"categories":4309},[138],{"categories":4311},[152],{"categories":4313},[90],{"categories":4315},[470],{"categories":4317},[152],{"categories":4319},[90],{"categories":4321},[138],{"categories":4323},[90],{"categories":4325},[90],{"categories":4327},[90],{"categories":4329},[133],{"categories":4331},[90],{"categories":4333},[90],{"categories":4335},[90],{"categories":4337},[90],{"categories":4339},[138],{"categories":4341},[141],{"categories":4343},[90],{"categories":4345},[],{"categories":4347},[],{"categories":4349},[90],{"categories":4351},[],{"categories":4353},[90],{"categories":4355},[138],{"categories":4357},[232],{"categories":4359},[90],{"categories":4361},[90],{"categories":4363},[138],{"categories":4365},[],{"categories":4367},[138],{"categories":4369},[90],{"categories":4371},[90],{"categories":4373},[141],{"categories":4375},[90],{"categories":4377},[232],{"categories":4379},[90],{"categories":4381},[138],{"categories":4383},[133],{"categories":4385},[90],{"categories":4387},[90],{"categories":4389},[90],{"categories":4391},[265],{"categories":4393},[138],{"categories":4395},[90],{"categories":4397},[90],{"categories":4399},[90],{"categories":4401},[950],{"categories":4403},[90],{"categories":4405},[138],{"categories":4407},[90],{"categories":4409},[152],{"categories":4411},[90],{"categories":4413},[568],{"categories":4415},[232],{"categories":4417},[],{"categories":4419},[90],{"categories":4421},[90],{"categories":4423},[177],{"categories":4425},[499],{"categories":4427},[138],{"categories":4429},[90],{"categories":4431},[],{"categories":4433},[177],{"categories":4435},[414],{"categories":4437},[138],{"categories":4439},[138],{"categories":4441},[138],{"categories":4443},[90],{"categories":4445},[90],{"categories":4447},[138],{"categories":4449},[90],{"categories":4451},[],{"categories":4453},[133],{"categories":4455},[90],{"categories":4457},[232],{"categories":4459},[133],{"categories":4461},[138],{"categories":4463},[152],{"categories":4465},[],{"categories":4467},[152],{"categories":4469},[90],{"categories":4471},[90],{"categories":4473},[128],{"categories":4475},[90],{"categories":4477},[177],{"categories":4479},[308],{"categories":4481},[166],{"categories":4483},[138],{"categories":4485},[138],{"categories":4487},[90],{"categories":4489},[90],{"categories":4491},[138],{"categories":4493},[90],{"categories":4495},[128],{"categories":4497},[],{"categories":4499},[138],{"categories":4501},[90],{"categories":4503},[90],{"categories":4505},[90],{"categories":4507},[138],{"categories":4509},[90],{"categories":4511},[],{"categories":4513},[90],{"categories":4515},[],{"categories":4517},[232],{"categories":4519},[138],{"categories":4521},[138],{"categories":4523},[90,133],{"categories":4525},[138],{"categories":4527},[90],{"categories":4529},[],{"categories":4531},[128],{"categories":4533},[155],{"categories":4535},[133],{"categories":4537},[138],{"categories":4539},[90],{"categories":4541},[152],{"categories":4543},[90],{"categories":4545},[90],{"categories":4547},[138],{"categories":4549},[90],{"categories":4551},[90],{"categories":4553},[90],{"categories":4555},[177],{"categories":4557},[1337],{"categories":4559},[138],{"categories":4561},[90],{"categories":4563},[],{"categories":4565},[],{"categories":4567},[90],{"categories":4569},[138],{"categories":4571},[90],{"categories":4573},[90],{"categories":4575},[308],{"categories":4577},[],{"categories":4579},[90],{"categories":4581},[138],{"categories":4583},[166],{"categories":4585},[138],{"categories":4587},[90],{"categories":4589},[499],{"categories":4591},[],{"categories":4593},[437],{"categories":4595},[90],{"categories":4597},[138],{"categories":4599},[90],{"categories":4601},[90],{"categories":4603},[90],{"categories":4605},[265],{"categories":4607},[90],{"categories":4609},[138],{"categories":4611},[90],{"categories":4613},[155],{"categories":4615},[141],{"categories":4617},[138],{"categories":4619},[90],{"categories":4621},[499],{"categories":4623},[90],{"categories":4625},[308],{"categories":4627},[133],{"categories":4629},[],{"categories":4631},[90],{"categories":4633},[90],{"categories":4635},[265],{"categories":4637},[232],{"categories":4639},[90],{"categories":4641},[90],{"categories":4643},[90],{"categories":4645},[],{"categories":4647},[265],{"categories":4649},[177],{"categories":4651},[90],{"categories":4653},[90],{"categories":4655},[90],{"categories":4657},[614],{"categories":4659},[128],{"categories":4661},[90],{"categories":4663},[141],{"categories":4665},[90],{"categories":4667},[90],{"categories":4669},[],{"categories":4671},[],{"categories":4673},[232],{"categories":4675},[90],{"categories":4677},[90],{"categories":4679},[155],{"categories":4681},[265],{"categories":4683},[138],{"categories":4685},[90],{"categories":4687},[90],{"categories":4689},[265],{"categories":4691},[133],{"categories":4693},[177],{"categories":4695},[90],{"categories":4697},[],{"categories":4699},[90],{"categories":4701},[90],{"categories":4703},[],{"categories":4705},[90],{"categories":4707},[90],{"categories":4709},[641],{"categories":4711},[90],{"categories":4713},[90],{"categories":4715},[138],{"categories":4717},[152],{"categories":4719},[499],{"categories":4721},[90],{"categories":4723},[133],{"categories":4725},[90],{"categories":4727},[90],{"categories":4729},[],{"categories":4731},[90,152],{"categories":4733},[177],{"categories":4735},[138],{"categories":4737},[152],{"categories":4739},[138],{"categories":4741},[990],{"categories":4743},[152],{"categories":4745},[152],{"categories":4747},[138],{"categories":4749},[90],{"categories":4751},[128],{"categories":4753},[90],{"categories":4755},[],{"categories":4757},[],{"categories":4759},[138],{"categories":4761},[90],{"categories":4763},[152],{"categories":4765},[138],{"categories":4767},[90],{"categories":4769},[128],{"categories":4771},[152],{"categories":4773},[152],{"categories":4775},[90],{"categories":4777},[265],{"categories":4779},[90],{"categories":4781},[90],{"categories":4783},[152],{"categories":4785},[90],{"categories":4787},[],{"categories":4789},[90],{"categories":4791},[90],{"categories":4793},[232,90],{"categories":4795},[308],{"categories":4797},[128],{"categories":4799},[90],{"categories":4801},[],{"categories":4803},[90],{"categories":4805},[90],{"categories":4807},[133],{"categories":4809},[90],{"categories":4811},[133],{"categories":4813},[90],{"categories":4815},[90],{"categories":4817},[414],{"categories":4819},[90],{"categories":4821},[133],{"categories":4823},[152],{"categories":4825},[155],{"categories":4827},[138],{"categories":4829},[90],{"categories":4831},[152],{"categories":4833},[90],{"categories":4835},[90],{"categories":4837},[177],{"categories":4839},[90],{"categories":4841},[265],{"categories":4843},[232],{"categories":4845},[90],{"categories":4847},[90],{"categories":4849},[141],{"categories":4851},[90],{"categories":4853},[90],{"categories":4855},[128],{"categories":4857},[90],{"categories":4859},[138],{"categories":4861},[138],{"categories":4863},[152],{"categories":4865},[90],{"categories":4867},[177],{"categories":4869},[152],{"categories":4871},[152],{"categories":4873},[90],{"categories":4875},[90],{"categories":4877},[],{"categories":4879},[],{"categories":4881},[155],{"categories":4883},[90],{"categories":4885},[152],{"categories":4887},[90],{"categories":4889},[232],{"categories":4891},[499],{"categories":4893},[437],{"categories":4895},[414],{"categories":4897},[90],{"categories":4899},[90],{"categories":4901},[152],{"categories":4903},[90],{"categories":4905},[155],{"categories":4907},[90],{"categories":4909},[90],{"categories":4911},[90],{"categories":4913},[90],{"categories":4915},[90],{"categories":4917},[90],{"categories":4919},[90],{"categories":4921},[138],{"categories":4923},[128],{"categories":4925},[141],{"categories":4927},[138],{"categories":4929},[90,133],{"categories":4931},[],{"categories":4933},[232],{"categories":4935},[],{"categories":4937},[141],{"categories":4939},[90],{"categories":4941},[177],{"categories":4943},[128],{"categories":4945},[90],{"categories":4947},[128],{"categories":4949},[138],{"categories":4951},[155],{"categories":4953},[138],{"categories":4955},[133],{"categories":4957},[141],{"categories":4959},[90],{"categories":4961},[138],{"categories":4963},[90],{"categories":4965},[141],{"categories":4967},[90],{"categories":4969},[90],{"categories":4971},[133],{"categories":4973},[138],{"categories":4975},[152],{"categories":4977},[265],{"categories":4979},[90],{"categories":4981},[90],{"categories":4983},[],{"categories":4985},[177],{"categories":4987},[90],{"categories":4989},[90],{"categories":4991},[90],{"categories":4993},[90],{"categories":4995},[90],{"categories":4997},[90],{"categories":4999},[152],{"categories":5001},[177],{"categories":5003},[152],{"categories":5005},[152],{"categories":5007},[90],{"categories":5009},[90],{"categories":5011},[90],{"categories":5013},[90],{"categories":5015},[437],{"categories":5017},[90],{"categories":5019},[138],{"categories":5021},[138],{"categories":5023},[177],{"categories":5025},[90],{"categories":5027},[90],{"categories":5029},[90],{"categories":5031},[138],{"categories":5033},[90],{"categories":5035},[90],{"categories":5037},[90],{"categories":5039},[3482],{"categories":5041},[5042],"Clinical AI",{"categories":5044},[232],{"categories":5046},[90],{"categories":5048},[90],{"categories":5050},[90],{"categories":5052},[90],{"categories":5054},[308],{"categories":5056},[2767],{"categories":5058},[90],{"categories":5060},[141],{"categories":5062},[232],{"categories":5064},[90],{"categories":5066},[138],{"categories":5068},[90],{"categories":5070},[90],{"categories":5072},[177],{"categories":5074},[90],{"categories":5076},[138],{"categories":5078},[152],{"categories":5080},[265],{"categories":5082},[90],{"categories":5084},[90],{"categories":5086},[133],{"categories":5088},[90],{"categories":5090},[90],{"categories":5092},[568],{"categories":5094},[90],{"categories":5096},[],{"categories":5098},[138],{"categories":5100},[90],{"categories":5102},[152],{"categories":5104},[128],{"categories":5106},[90],{"categories":5108},[],{"categories":5110},[],{"categories":5112},[90],{"categories":5114},[],{"categories":5116},[133],{"categories":5118},[90],{"categories":5120},[90],{"categories":5122},[138],{"categories":5124},[138],{"categories":5126},[90],{"categories":5128},[177],{"categories":5130},[177],{"categories":5132},[177],{"categories":5134},[177],{"categories":5136},[],{"categories":5138},[128],{"categories":5140},[138],{"categories":5142},[177],{"categories":5144},[90],{"categories":5146},[641],{"categories":5148},[141],{"categories":5150},[138],{"categories":5152},[90],{"categories":5154},[128],{"categories":5156},[90],{"categories":5158},[138],{"categories":5160},[90],{"categories":5162},[90],{"categories":5164},[90],{"categories":5166},[90],{"categories":5168},[90],{"categories":5170},[90,138],{"categories":5172},[138],{"categories":5174},[308],{"categories":5176},[177],{"categories":5178},[138],{"categories":5180},[177],{"categories":5182},[138],{"categories":5184},[90],{"categories":5186},[],{"categories":5188},[177],{"categories":5190},[265],{"categories":5192},[128],{"categories":5194},[90],{"categories":5196},[90],{"categories":5198},[],{"categories":5200},[152],{"categories":5202},[],{"categories":5204},[128],{"categories":5206},[138],{"categories":5208},[177],{"categories":5210},[90],{"categories":5212},[177],{"categories":5214},[128],{"categories":5216},[177],{"categories":5218},[177],{"categories":5220},[],{"categories":5222},[133],{"categories":5224},[138],{"categories":5226},[177],{"categories":5228},[177],{"categories":5230},[177],{"categories":5232},[177],{"categories":5234},[177],{"categories":5236},[177],{"categories":5238},[177],{"categories":5240},[177],{"categories":5242},[177],{"categories":5244},[177],{"categories":5246},[155],{"categories":5248},[128],{"categories":5250},[90],{"categories":5252},[90],{"categories":5254},[138],{"categories":5256},[138],{"categories":5258},[],{"categories":5260},[90],{"categories":5262},[90,128],{"categories":5264},[],{"categories":5266},[138],{"categories":5268},[90],{"categories":5270},[177],{"categories":5272},[138],{"categories":5274},[138],{"categories":5276},[990],{"categories":5278},[90],{"categories":5280},[90],{"categories":5282},[90],{"categories":5284},[90],{"categories":5286},[141],{"categories":5288},[90],{"categories":5290},[90],{"categories":5292},[414],{"categories":5294},[90],{"categories":5296},[90],{"categories":5298},[138],{"categories":5300},[90],{"categories":5302},[90],{"categories":5304},[90],{"categories":5306},[90],{"categories":5308},[133],{"categories":5310},[141],{"categories":5312},[138],{"categories":5314},[138],{"categories":5316},[],{"categories":5318},[138],{"categories":5320},[232],{"categories":5322},[177],{"categories":5324},[90],{"categories":5326},[],{"categories":5328},[90],{"categories":5330},[141],{"categories":5332},[],{"categories":5334},[152],{"categories":5336},[90],{"categories":5338},[138],{"categories":5340},[232],{"categories":5342},[90],{"categories":5344},[90],{"categories":5346},[],{"categories":5348},[90],{"categories":5350},[90],{"categories":5352},[],{"categories":5354},[265],{"categories":5356},[90],{"categories":5358},[138],{"categories":5360},[],{"categories":5362},[],{"categories":5364},[177],{"categories":5366},[128],{"categories":5368},[90],{"categories":5370},[90],{"categories":5372},[133],{"categories":5374},[90],{"categories":5376},[90],{"categories":5378},[138],{"categories":5380},[90],{"categories":5382},[133],{"categories":5384},[133],{"categories":5386},[232],{"categories":5388},[],{"categories":5390},[90],{"categories":5392},[177],{"categories":5394},[],{"categories":5396},[90],{"categories":5398},[90],{"categories":5400},[232],{"categories":5402},[90],{"categories":5404},[90],{"categories":5406},[265],{"categories":5408},[90],{"categories":5410},[308],{"categories":5412},[],{"categories":5414},[138],{"categories":5416},[90],{"categories":5418},[265],{"categories":5420},[152],{"categories":5422},[],{"categories":5424},[90],{"categories":5426},[],{"categories":5428},[138],{"categories":5430},[232],{"categories":5432},[152],{"categories":5434},[],{"categories":5436},[3482],{"categories":5438},[133],{"categories":5440},[128],{"categories":5442},[90],{"categories":5444},[138],{"categories":5446},[155],{"categories":5448},[138],{"categories":5450},[90],{"categories":5452},[232],{"categories":5454},[90],{"categories":5456},[90],{"categories":5458},[152],{"categories":5460},[],{"categories":5462},[],{"categories":5464},[90],{"categories":5466},[128],{"categories":5468},[90],{"categories":5470},[265],{"categories":5472},[],{"categories":5474},[138],{"categories":5476},[138],{"categories":5478},[90],{"categories":5480},[138],{"categories":5482},[90],{"categories":5484},[177],{"categories":5486},[90],{"categories":5488},[152],{"categories":5490},[90],{"categories":5492},[138],{"categories":5494},[141],{"categories":5496},[90],{"categories":5498},[90],{"categories":5500},[90],{"categories":5502},[90],{"categories":5504},[138],{"categories":5506},[90],{"categories":5508},[141],{"categories":5510},[265],{"categories":5512},[177],{"categories":5514},[],{"categories":5516},[265],{"categories":5518},[90],{"categories":5520},[],{"categories":5522},[152],{"categories":5524},[138],{"categories":5526},[],{"categories":5528},[90],{"categories":5530},[90],{"categories":5532},[90],{"categories":5534},[90],{"categories":5536},[90],{"categories":5538},[138],{"categories":5540},[133],{"categories":5542},[128],{"categories":5544},[90],{"categories":5546},[90],{"categories":5548},[138],{"categories":5550},[90],{"categories":5552},[232],{"categories":5554},[152],{"categories":5556},[152],{"categories":5558},[90],{"categories":5560},[155],{"categories":5562},[138],{"categories":5564},[90],{"categories":5566},[90],{"categories":5568},[138],{"categories":5570},[90],{"categories":5572},[90],{"categories":5574},[90],{"categories":5576},[138],{"categories":5578},[133],{"categories":5580},[90],{"categories":5582},[232],{"categories":5584},[152],{"categories":5586},[138],{"categories":5588},[90],{"categories":5590},[141],{"categories":5592},[90],{"categories":5594},[141],{"categories":5596},[138],{"categories":5598},[90],{"categories":5600},[90],{"categories":5602},[177],{"categories":5604},[90],{"categories":5606},[],{"categories":5608},[128],{"categories":5610},[90],{"categories":5612},[90],{"categories":5614},[90],{"categories":5616},[152],{"categories":5618},[152],{"categories":5620},[90],{"categories":5622},[152],{"categories":5624},[90],{"categories":5626},[138],{"categories":5628},[90],{"categories":5630},[90],{"categories":5632},[90],{"categories":5634},[90],{"categories":5636},[90],{"categories":5638},[],{"categories":5640},[90],{"categories":5642},[232],{"categories":5644},[138],{"categories":5646},[133],{"categories":5648},[177],{"categories":5650},[90],{"categories":5652},[138],{"categories":5654},[90],{"categories":5656},[138],{"categories":5658},[90],{"categories":5660},[90],{"categories":5662},[232],{"categories":5664},[138],{"categories":5666},[90],{"categories":5668},[265],{"categories":5670},[133],{"categories":5672},[90],{"categories":5674},[155],{"categories":5676},[90],{"categories":5678},[90],{"categories":5680},[177],{"categories":5682},[90],{"categories":5684},[90],{"categories":5686},[90],{"categories":5688},[90],{"categories":5690},[138],{"categories":5692},[308],{"categories":5694},[90],{"categories":5696},[152],{"categories":5698},[138],{"categories":5700},[155],{"categories":5702},[],{"categories":5704},[138],{"categories":5706},[152],{"categories":5708},[90],{"categories":5710},[90],{"categories":5712},[90],{"categories":5714},[2589],{"categories":5716},[90],{"categories":5718},[232],{"categories":5720},[343],{"categories":5722},[90],{"categories":5724},[90],{"categories":5726},[90],{"categories":5728},[90],{"categories":5730},[90],{"categories":5732},[128],{"categories":5734},[138],{"categories":5736},[90],{"categories":5738},[90],{"categories":5740},[152],{"categories":5742},[133],{"categories":5744},[90],{"categories":5746},[90],{"categories":5748},[152],{"categories":5750},[90],{"categories":5752},[],{"categories":5754},[138],{"categories":5756},[138],{"categories":5758},[90],{"categories":5760},[90],{"categories":5762},[90],{"categories":5764},[155],{"categories":5766},[],{"categories":5768},[177],{"categories":5770},[],{"categories":5772},[177],{"categories":5774},[90],{"categories":5776},[90],{"categories":5778},[90],{"categories":5780},[138],{"categories":5782},[90],{"categories":5784},[138],{"categories":5786},[138],{"categories":5788},[],{"categories":5790},[90],{"categories":5792},[177],{"categories":5794},[90],{"categories":5796},[],{"categories":5798},[90],{"categories":5800},[90],{"categories":5802},[],{"categories":5804},[90],{"categories":5806},[90],{"categories":5808},[232],{"categories":5810},[152],{"categories":5812},[138],{"categories":5814},[90],{"categories":5816},[90],{"categories":5818},[90],{"categories":5820},[90],{"categories":5822},[90],{"categories":5824},[265],{"categories":5826},[90],{"categories":5828},[90],{"categories":5830},[90],{"categories":5832},[128],{"categories":5834},[90],{"categories":5836},[90],{"categories":5838},[],{"categories":5840},[90],{"categories":5842},[90],{"categories":5844},[90],{"categories":5846},[],{"categories":5848},[138],{"categories":5850},[128],{"categories":5852},[90],{"categories":5854},[90],{"categories":5856},[90],{"categories":5858},[90],{"categories":5860},[177],{"categories":5862},[90],{"categories":5864},[152],{"categories":5866},[141],{"categories":5868},[138],{"categories":5870},[499],{"categories":5872},[90],{"categories":5874},[90],{"categories":5876},[90],{"categories":5878},[90],{"categories":5880},[152],{"categories":5882},[177],{"categories":5884},[232],{"categories":5886},[90],{"categories":5888},[90],{"categories":5890},[90],{"categories":5892},[90],{"categories":5894},[90],{"categories":5896},[90],{"categories":5898},[177],{"categories":5900},[90],{"categories":5902},[232],{"categories":5904},[90],{"categories":5906},[90],{"categories":5908},[177],{"categories":5910},[232],{"categories":5912},[90],{"categories":5914},[177],{"categories":5916},[90],{"categories":5918},[138],{"categories":5920},[138],{"categories":5922},[138],{"categories":5924},[90],{"categories":5926},[152],{"categories":5928},[177],{"categories":5930},[138],{"categories":5932},[138],{"categories":5934},[90],{"categories":5936},[152],{"categories":5938},[232],{"categories":5940},[90],{"categories":5942},[90],{"categories":5944},[138],{"categories":5946},[90],{"categories":5948},[],{"categories":5950},[138],{"categories":5952},[],{"categories":5954},[90],{"categories":5956},[90],{"categories":5958},[],{"categories":5960},[],{"categories":5962},[138],{"categories":5964},[133],{"categories":5966},[138],{"categories":5968},[5969],"Liability & Ethics",{"categories":5971},[90],{"categories":5973},[90],{"categories":5975},[90],{"categories":5977},[138],{"categories":5979},[128],{"categories":5981},[138],{"categories":5983},[133],{"categories":5985},[265],{"categories":5987},[90],{"categories":5989},[138],{"categories":5991},[90],{"categories":5993},[90],{"categories":5995},[90],{"categories":5997},[],{"categories":5999},[614],{"categories":6001},[138],{"categories":6003},[],{"categories":6005},[90],{"categories":6007},[128],{"categories":6009},[138],{"categories":6011},[90],{"categories":6013},[],{"categories":6015},[138],{"categories":6017},[90],{"categories":6019},[90],{"categories":6021},[152],{"categories":6023},[90],{"categories":6025},[177],{"categories":6027},[90],{"categories":6029},[90],{"categories":6031},[141],{"categories":6033},[90],{"categories":6035},[138],{"categories":6037},[90],{"categories":6039},[90],{"categories":6041},[90],{"categories":6043},[177],{"categories":6045},[138],{"categories":6047},[152],{"categories":6049},[232],{"categories":6051},[128],{"categories":6053},[90],{"categories":6055},[90],{"categories":6057},[90],{"categories":6059},[],{"categories":6061},[138],{"categories":6063},[138],{"categories":6065},[138],{"categories":6067},[499],{"categories":6069},[138],{"categories":6071},[232],{"categories":6073},[138],{"categories":6075},[308],{"categories":6077},[152],{"categories":6079},[177],{"categories":6081},[90],{"categories":6083},[232],{"categories":6085},[90],{"categories":6087},[128],{"categories":6089},[],{"categories":6091},[90],{"categories":6093},[138],{"categories":6095},[90],{"categories":6097},[90],{"categories":6099},[90],{"categories":6101},[90],{"categories":6103},[138],{"categories":6105},[90],{"categories":6107},[90],{"categories":6109},[232],{"categories":6111},[138],{"categories":6113},[],{"categories":6115},[138],{"categories":6117},[141],{"categories":6119},[90],{"categories":6121},[177],{"categories":6123},[138],{"categories":6125},[133],{"categories":6127},[],{"categories":6129},[90],{"categories":6131},[90],{"categories":6133},[141],{"categories":6135},[90],{"categories":6137},[138],{"categories":6139},[177],{"categories":6141},[128],{"categories":6143},[308],{"categories":6145},[90],{"categories":6147},[90],{"categories":6149},[90],{"categories":6151},[177],{"categories":6153},[133],{"categories":6155},[90],{"categories":6157},[232],{"categories":6159},[177],{"categories":6161},[308],{"categories":6163},[90],{"categories":6165},[138],{"categories":6167},[],{"categories":6169},[568],{"categories":6171},[],{"categories":6173},[90],{"categories":6175},[308],{"categories":6177},[90],{"categories":6179},[155],{"categories":6181},[90],{"categories":6183},[138],{"categories":6185},[138],{"categories":6187},[6188],"Design News & Tools",{"categories":6190},[90],{"categories":6192},[90],{"categories":6194},[177],{"categories":6196},[90],{"categories":6198},[90],{"categories":6200},[90],{"categories":6202},[128],{"categories":6204},[138],{"categories":6206},[90],{"categories":6208},[232],{"categories":6210},[138],{"categories":6212},[138],{"categories":6214},[232],{"categories":6216},[90],{"categories":6218},[90],{"categories":6220},[90],{"categories":6222},[499],{"categories":6224},[138],{"categories":6226},[90],{"categories":6228},[138],{"categories":6230},[90],{"categories":6232},[90],{"categories":6234},[499],{"categories":6236},[90],{"categories":6238},[265],{"categories":6240},[90],{"categories":6242},[138],{"categories":6244},[138],{"categories":6246},[],{"categories":6248},[90],{"categories":6250},[90],{"categories":6252},[90],{"categories":6254},[177],{"categories":6256},[90],{"categories":6258},[128],{"categories":6260},[],{"categories":6262},[90],{"categories":6264},[90],{"categories":6266},[90],{"categories":6268},[152],{"categories":6270},[641],{"categories":6272},[152],{"categories":6274},[232],{"categories":6276},[90],{"categories":6278},[90,138],{"categories":6280},[265,133],{"categories":6282},[152],{"categories":6284},[90],{"categories":6286},[90],{"categories":6288},[90],{"categories":6290},[90],{"categories":6292},[],{"categories":6294},[152],{"categories":6296},[138],{"categories":6298},[90],{"categories":6300},[90],{"categories":6302},[],{"categories":6304},[90],{"categories":6306},[152],{"categories":6308},[90],{"categories":6310},[152],{"categories":6312},[90],{"categories":6314},[],{"categories":6316},[138],{"categories":6318},[90],{"categories":6320},[133],{"categories":6322},[90],{"categories":6324},[177],{"categories":6326},[90],{"categories":6328},[],{"categories":6330},[90],{"categories":6332},[138],{"categories":6334},[90],{"categories":6336},[],{"categories":6338},[232],{"categories":6340},[90],{"categories":6342},[90],{"categories":6344},[138],{"categories":6346},[90],{"categories":6348},[90],{"categories":6350},[90],{"categories":6352},[128],{"categories":6354},[90],{"categories":6356},[138],{"categories":6358},[90],{"categories":6360},[],{"categories":6362},[90],{"categories":6364},[308],{"categories":6366},[265],{"categories":6368},[133],{"categories":6370},[133],{"categories":6372},[90],{"categories":6374},[128],{"categories":6376},[128],{"categories":6378},[90],{"categories":6380},[138],{"categories":6382},[90],{"categories":6384},[90],{"categories":6386},[90],{"categories":6388},[90],{"categories":6390},[152],{"categories":6392},[90],{"categories":6394},[128],{"categories":6396},[90],{"categories":6398},[90],{"categories":6400},[138],{"categories":6402},[90],{"categories":6404},[265],{"categories":6406},[90],{"categories":6408},[177],{"categories":6410},[90],{"categories":6412},[90],{"categories":6414},[138],{"categories":6416},[141],{"categories":6418},[90],{"categories":6420},[138],{"categories":6422},[90],{"categories":6424},[138],{"categories":6426},[],{"categories":6428},[152],{"categories":6430},[],{"categories":6432},[152],{"categories":6434},[138],{"categories":6436},[128],{"categories":6438},[90],{"categories":6440},[],{"categories":6442},[155],{"categories":6444},[308],{"categories":6446},[90],{"categories":6448},[152],{"categories":6450},[90],{"categories":6452},[],{"categories":6454},[177],{"categories":6456},[138],{"categories":6458},[152],{"categories":6460},[232],{"categories":6462},[133],{"categories":6464},[90],{"categories":6466},[90],{"categories":6468},[138],{"categories":6470},[152],{"categories":6472},[138],{"categories":6474},[177],{"categories":6476},[90],{"categories":6478},[141],{"categories":6480},[128],{"categories":6482},[141],{"categories":6484},[177],{"categories":6486},[90],{"categories":6488},[90],{"categories":6490},[152],{"categories":6492},[90],{"categories":6494},[232],{"categories":6496},[133],{"categories":6498},[90],{"categories":6500},[90],{"categories":6502},[90],{"categories":6504},[90],{"categories":6506},[90],{"categories":6508},[90],{"categories":6510},[138],{"categories":6512},[90],{"categories":6514},[90],{"categories":6516},[138],{"categories":6518},[90],{"categories":6520},[90],{"categories":6522},[128],{"categories":6524},[90],{"categories":6526},[138],{"categories":6528},[138],{"categories":6530},[232],{"categories":6532},[138],{"categories":6534},[90],{"categories":6536},[138],{"categories":6538},[90],{"categories":6540},[128],{"categories":6542},[138],{"categories":6544},[232],{"categories":6546},[],{"categories":6548},[90],{"categories":6550},[155],{"categories":6552},[499],{"categories":6554},[90],{"categories":6556},[138],{"categories":6558},[90],{"categories":6560},[90],{"categories":6562},[152],{"categories":6564},[90],{"categories":6566},[],{"categories":6568},[90],{"categories":6570},[138],{"categories":6572},[133],{"categories":6574},[90],{"categories":6576},[265],{"categories":6578},[232],{"categories":6580},[90],{"categories":6582},[152],{"categories":6584},[90],{"categories":6586},[90],{"categories":6588},[177],{"categories":6590},[138],{"categories":6592},[90],{"categories":6594},[265],{"categories":6596},[138],{"categories":6598},[133],{"categories":6600},[133],{"categories":6602},[90],{"categories":6604},[90],{"categories":6606},[90],{"categories":6608},[90],{"categories":6610},[90],{"categories":6612},[90],{"categories":6614},[128],{"categories":6616},[90],{"categories":6618},[],{"categories":6620},[90],{"categories":6622},[90],{"categories":6624},[138],{"categories":6626},[90],{"categories":6628},[138],{"categories":6630},[90],{"categories":6632},[90],{"categories":6634},[90],{"categories":6636},[90],{"categories":6638},[90],{"categories":6640},[90],{"categories":6642},[152],{"categories":6644},[],{"categories":6646},[128],{"categories":6648},[90],{"categories":6650},[90],{"categories":6652},[138],{"categories":6654},[138],{"categories":6656},[],{"categories":6658},[152],{"categories":6660},[152],{"categories":6662},[90],{"categories":6664},[265],{"categories":6666},[133],{"categories":6668},[232],{"categories":6670},[90],{"categories":6672},[],{"categories":6674},[90],{"categories":6676},[138],{"categories":6678},[128],{"categories":6680},[90],{"categories":6682},[90],{"categories":6684},[152],{"categories":6686},[128],{"categories":6688},[90],{"categories":6690},[90],{"categories":6692},[177],{"categories":6694},[155],{"categories":6696},[90],{"categories":6698},[177],{"categories":6700},[90],{"categories":6702},[138],{"categories":6704},[90],{"categories":6706},[90],{"categories":6708},[],{"categories":6710},[177],{"categories":6712},[138],{"categories":6714},[232],{"categories":6716},[155],{"categories":6718},[90],{"categories":6720},[90],{"categories":6722},[90],{"categories":6724},[],{"categories":6726},[138],{"categories":6728},[138],{"categories":6730},[138],{"categories":6732},[3482],{"categories":6734},[177],{"categories":6736},[90],{"categories":6738},[152],{"categories":6740},[90],{"categories":6742},[90],{"categories":6744},[90],{"categories":6746},[90],{"categories":6748},[90],{"categories":6750},[138],{"categories":6752},[90],{"categories":6754},[133],{"categories":6756},[90],{"categories":6758},[128],{"categories":6760},[1977],{"categories":6762},[308],{"categories":6764},[128],{"categories":6766},[],{"categories":6768},[141],{"categories":6770},[90],{"categories":6772},[],{"categories":6774},[90],{"categories":6776},[177],{"categories":6778},[138],{"categories":6780},[232],{"categories":6782},[90],{"categories":6784},[138],{"categories":6786},[90],{"categories":6788},[90],{"categories":6790},[90],{"categories":6792},[90],{"categories":6794},[177],{"categories":6796},[],{"categories":6798},[90],{"categories":6800},[138],{"categories":6802},[90],{"categories":6804},[138],{"categories":6806},[138],{"categories":6808},[],{"categories":6810},[90],{"categories":6812},[],{"categories":6814},[177],{"categories":6816},[128],{"categories":6818},[90],{"categories":6820},[232],{"categories":6822},[90],{"categories":6824},[138],{"categories":6826},[177],{"categories":6828},[90],{"categories":6830},[177],{"categories":6832},[],{"categories":6834},[177],{"categories":6836},[90],{"categories":6838},[128],{"categories":6840},[138],{"categories":6842},[499],{"categories":6844},[90],{"categories":6846},[138],{"categories":6848},[90],{"categories":6850},[],{"categories":6852},[152],{"categories":6854},[138],{"categories":6856},[141],{"categories":6858},[138],{"categories":6860},[90],{"categories":6862},[128],{"categories":6864},[90],{"categories":6866},[90],{"categories":6868},[],{"categories":6870},[],{"categories":6872},[],{"categories":6874},[232],{"categories":6876},[90],{"categories":6878},[138],{"categories":6880},[90],{"categories":6882},[90],{"categories":6884},[],{"categories":6886},[],{"categories":6888},[],{"categories":6890},[90],{"categories":6892},[138],{"categories":6894},[232],{"categories":6896},[90],{"categories":6898},[],{"categories":6900},[138],{"categories":6902},[90],{"categories":6904},[90],{"categories":6906},[128],{"categories":6908},[],{"categories":6910},[],{"categories":6912},[90],{"categories":6914},[90],{"categories":6916},[90],{"categories":6918},[138],{"categories":6920},[232],{"categories":6922},[90],{"categories":6924},[177],{"categories":6926},[],{"categories":6928},[90],{"categories":6930},[90],{"categories":6932},[265],{"categories":6934},[177],{"categories":6936},[265],{"categories":6938},[152],{"categories":6940},[155],{"categories":6942},[90],{"categories":6944},[90],{"categories":6946},[],{"categories":6948},[],{"categories":6950},[138],{"categories":6952},[],{"categories":6954},[90],{"categories":6956},[499],{"categories":6958},[90],{"categories":6960},[90],{"categories":6962},[90],{"categories":6964},[90],{"categories":6966},[],{"categories":6968},[138],{"categories":6970},[90],{"categories":6972},[90],{"categories":6974},[],{"categories":6976},[138],{"categories":6978},[138],{"categories":6980},[90],{"categories":6982},[177],{"categories":6984},[90],{"categories":6986},[265],{"categories":6988},[90],{"categories":6990},[138],{"categories":6992},[133],{"categories":6994},[141],{"categories":6996},[90],{"categories":6998},[90],{"categories":7000},[138],{"categories":7002},[155],{"categories":7004},[138],{"categories":7006},[138],{"categories":7008},[],{"categories":7010},[90],{"categories":7012},[138],{"categories":7014},[],{"categories":7016},[90],{"categories":7018},[],{"categories":7020},[177],{"categories":7022},[133],{"categories":7024},[],{"categories":7026},[90],{"categories":7028},[90],{"categories":7030},[90],{"categories":7032},[],{"categories":7034},[138],{"categories":7036},[232],{"categories":7038},[128],{"categories":7040},[90],{"categories":7042},[],{"categories":7044},[133],{"categories":7046},[265],{"categories":7048},[90],{"categories":7050},[152],{"categories":7052},[128],{"categories":7054},[155],{"categories":7056},[133],{"categories":7058},[152],{"categories":7060},[138],{"categories":7062},[152],{"categories":7064},[],{"categories":7066},[90],{"categories":7068},[141],{"categories":7070},[141],{"categories":7072},[90],{"categories":7074},[],{"categories":7076},[138],{"categories":7078},[138],{"categories":7080},[128],{"categories":7082},[232],{"categories":7084},[90],{"categories":7086},[90],{"categories":7088},[128],{"categories":7090},[138],{"categories":7092},[308],{"categories":7094},[90],{"categories":7096},[90],{"categories":7098},[90],{"categories":7100},[90],{"categories":7102},[90],{"categories":7104},[128],{"categories":7106},[90],{"categories":7108},[152],{"categories":7110},[155],{"categories":7112},[138],{"categories":7114},[],{"categories":7116},[90],{"categories":7118},[90],{"categories":7120},[90],{"categories":7122},[152],{"categories":7124},[138],{"categories":7126},[177],{"categories":7128},[152],{"categories":7130},[90],{"categories":7132},[141],{"categories":7134},[],{"categories":7136},[232],{"categories":7138},[152],{"categories":7140},[177],{"categories":7142},[90],{"categories":7144},[90],{"categories":7146},[128],{"categories":7148},[138],{"categories":7150},[90],{"categories":7152},[90],{"categories":7154},[138],{"categories":7156},[141],{"categories":7158},[90],{"categories":7160},[138],{"categories":7162},[90],{"categories":7164},[133],{"categories":7166},[90],{"categories":7168},[138],{"categories":7170},[138,308],{"categories":7172},[90],{"categories":7174},[90],{"categories":7176},[138],{"categories":7178},[152],{"categories":7180},[90],{"categories":7182},[90],{"categories":7184},[90],{"categories":7186},[155],{"categories":7188},[138],{"categories":7190},[265],{"categories":7192},[138],{"categories":7194},[133],{"categories":7196},[],{"categories":7198},[138],{"categories":7200},[90],{"categories":7202},[133],{"categories":7204},[],{"categories":7206},[],{"categories":7208},[90],{"categories":7210},[152],{"categories":7212},[90],{"categories":7214},[90],{"categories":7216},[138],{"categories":7218},[90],{"categories":7220},[155],{"categories":7222},[265],{"categories":7224},[90],{"categories":7226},[90],{"categories":7228},[90],{"categories":7230},[90],{"categories":7232},[138],{"categories":7234},[],{"categories":7236},[138],{"categories":7238},[177],{"categories":7240},[90],{"categories":7242},[138],{"categories":7244},[138],{"categories":7246},[90],{"categories":7248},[],{"categories":7250},[177],{"categories":7252},[152],{"categories":7254},[3482],{"categories":7256},[128],{"categories":7258},[152],{"categories":7260},[90],{"categories":7262},[138],{"categories":7264},[90],{"categories":7266},[90],{"categories":7268},[265],{"categories":7270},[152],{"categories":7272},[155],{"categories":7274},[],{"categories":7276},[177],{"categories":7278},[90],{"categories":7280},[90],{"categories":7282},[],{"categories":7284},[138],{"categories":7286},[90],{"categories":7288},[90],{"categories":7290},[90],{"categories":7292},[90],{"categories":7294},[138],{"categories":7296},[90],{"categories":7298},[90],{"categories":7300},[90],{"categories":7302},[90],{"categories":7304},[141],{"categories":7306},[90],{"categories":7308},[138],{"categories":7310},[90],{"categories":7312},[90],{"categories":7314},[90],{"categories":7316},[90],{"categories":7318},[90],{"categories":7320},[90],{"categories":7322},[90],{"categories":7324},[133],{"categories":7326},[],{"categories":7328},[141],{"categories":7330},[90],{"categories":7332},[177],{"categories":7334},[138],{"categories":7336},[90],{"categories":7338},[152],{"categories":7340},[],{"categories":7342},[152],{"categories":7344},[152],{"categories":7346},[138],{"categories":7348},[152],{"categories":7350},[90],{"categories":7352},[90],{"categories":7354},[90],{"categories":7356},[138],{"categories":7358},[152],{"categories":7360},[90],{"categories":7362},[90],{"categories":7364},[90],{"categories":7366},[138],{"categories":7368},[177],{"categories":7370},[90],{"categories":7372},[90],{"categories":7374},[90],{"categories":7376},[133],{"categories":7378},[90],{"categories":7380},[138],{"categories":7382},[232],{"categories":7384},[],{"categories":7386},[90],{"categories":7388},[90],{"categories":7390},[155],{"categories":7392},[90],{"categories":7394},[138],{"categories":7396},[90],{"categories":7398},[90],{"categories":7400},[],{"categories":7402},[90],{"categories":7404},[90],{"categories":7406},[177],{"categories":7408},[90],{"categories":7410},[90],{"categories":7412},[138],{"categories":7414},[265],{"categories":7416},[],{"categories":7418},[],{"categories":7420},[152],{"categories":7422},[90],{"categories":7424},[90],{"categories":7426},[141],{"categories":7428},[177],{"categories":7430},[90],{"categories":7432},[152],{"categories":7434},[177],{"categories":7436},[90],{"categories":7438},[90],{"categories":7440},[265],{"categories":7442},[155],{"categories":7444},[90],{"categories":7446},[90],{"categories":7448},[128],{"categories":7450},[138],{"categories":7452},[90],{"categories":7454},[90],{"categories":7456},[138],{"categories":7458},[133],{"categories":7460},[138],{"categories":7462},[152],{"categories":7464},[90],{"categories":7466},[133],{"categories":7468},[],{"categories":7470},[90],{"categories":7472},[155],{"categories":7474},[90],{"categories":7476},[90],{"categories":7478},[],{"categories":7480},[177],{"categories":7482},[90],{"categories":7484},[138],{"categories":7486},[155],{"categories":7488},[90],{"categories":7490},[152],{"categories":7492},[152],{"categories":7494},[152],{"categories":7496},[90],{"categories":7498},[138],{"categories":7500},[138],{"categories":7502},[90],{"categories":7504},[138],{"categories":7506},[90],{"categories":7508},[90],{"categories":7510},[232],{"categories":7512},[155],{"categories":7514},[155],{"categories":7516},[],{"categories":7518},[177],{"categories":7520},[90],{"categories":7522},[90],{"categories":7524},[152],{"categories":7526},[],{"categories":7528},[177],{"categories":7530},[177],{"categories":7532},[177],{"categories":7534},[],{"categories":7536},[138],{"categories":7538},[90],{"categories":7540},[],{"categories":7542},[128],{"categories":7544},[133],{"categories":7546},[],{"categories":7548},[90],{"categories":7550},[90],{"categories":7552},[],{"categories":7554},[152],{"categories":7556},[],{"categories":7558},[],{"categories":7560},[],{"categories":7562},[],{"categories":7564},[90],{"categories":7566},[177],{"categories":7568},[],{"categories":7570},[],{"categories":7572},[90],{"categories":7574},[90],{"categories":7576},[90],{"categories":7578},[155],{"categories":7580},[90],{"categories":7582},[155],{"categories":7584},[],{"categories":7586},[155],{"categories":7588},[155],{"categories":7590},[308],{"categories":7592},[138],{"categories":7594},[152],{"categories":7596},[],{"categories":7598},[],{"categories":7600},[155],{"categories":7602},[152],{"categories":7604},[152],{"categories":7606},[152],{"categories":7608},[],{"categories":7610},[128],{"categories":7612},[152],{"categories":7614},[152],{"categories":7616},[128],{"categories":7618},[152],{"categories":7620},[133],{"categories":7622},[152],{"categories":7624},[152],{"categories":7626},[152],{"categories":7628},[155],{"categories":7630},[177],{"categories":7632},[177],{"categories":7634},[90],{"categories":7636},[152],{"categories":7638},[155],{"categories":7640},[308],{"categories":7642},[155],{"categories":7644},[155],{"categories":7646},[155],{"categories":7648},[],{"categories":7650},[133],{"categories":7652},[],{"categories":7654},[308],{"categories":7656},[152],{"categories":7658},[152],{"categories":7660},[152],{"categories":7662},[138],{"categories":7664},[177,133],{"categories":7666},[155],{"categories":7668},[],{"categories":7670},[],{"categories":7672},[155],{"categories":7674},[],{"categories":7676},[155],{"categories":7678},[177],{"categories":7680},[138],{"categories":7682},[],{"categories":7684},[152],{"categories":7686},[90],{"categories":7688},[232],{"categories":7690},[],{"categories":7692},[90],{"categories":7694},[],{"categories":7696},[177],{"categories":7698},[128],{"categories":7700},[155],{"categories":7702},[],{"categories":7704},[152],{"categories":7706},[177],[7708,7790,7867,7961],{"id":7709,"title":7710,"ai":7711,"body":7716,"categories":7771,"created_at":91,"date_modified":91,"description":83,"extension":92,"faq":91,"featured":93,"kicker_label":91,"meta":7772,"navigation":107,"path":7780,"published_at":7781,"question":91,"scraped_at":7781,"seo":7782,"sitemap":7783,"source_id":7784,"source_name":113,"source_type":114,"source_url":7776,"stem":7785,"tags":7786,"thumbnail_url":91,"tldr":7787,"tweet":91,"unknown_tags":7788,"__hash__":7789},"summaries\u002Fsummaries\u002F3c2ca1819c150892-deterministic-math-solvers-for-clinical-llms-summary.md","Deterministic Math Solvers for Clinical LLMs",{"provider":7,"model":8,"input_tokens":7712,"output_tokens":7713,"processing_time_ms":7714,"cost_usd":7715},4015,540,3151,0.00181375,{"type":14,"value":7717,"toc":7766},[7718,7722,7725,7729,7732,7759,7763],[17,7719,7721],{"id":7720},"the-reliability-gap-in-clinical-ai","The Reliability Gap in Clinical AI",[22,7723,7724],{},"Large Language Models (LLMs) frequently struggle with arithmetic precision, a limitation that is unacceptable in clinical environments where dosage calculations or lab result interpretations require 100% accuracy. The core problem is that LLMs are probabilistic engines; they predict the next token rather than executing logical or mathematical operations. This paper argues that for clinical applications, the model should act as an orchestrator rather than a calculator.",[17,7726,7728],{"id":7727},"decoupling-reasoning-from-execution","Decoupling Reasoning from Execution",[22,7730,7731],{},"The proposed solution involves a deterministic math solver architecture. Instead of asking an LLM to perform complex arithmetic, the system is designed to:",[7733,7734,7735,7741,7747,7753],"ol",{},[36,7736,7737,7740],{},[39,7738,7739],{},"Extract Variables:"," The LLM identifies the relevant clinical data and the mathematical goal from the natural language prompt.",[36,7742,7743,7746],{},[39,7744,7745],{},"Formalize the Logic:"," The model translates the clinical problem into a structured, symbolic representation (such as a Python script or a formal mathematical expression).",[36,7748,7749,7752],{},[39,7750,7751],{},"Execute Deterministically:"," The system passes this structured logic to a non-probabilistic, deterministic solver (like a standard Python interpreter or a symbolic math engine) to perform the actual computation.",[36,7754,7755,7758],{},[39,7756,7757],{},"Synthesize Results:"," The result is returned to the LLM, which then formats the final answer back into natural language for the clinician.",[17,7760,7762],{"id":7761},"impact-on-clinical-safety","Impact on Clinical Safety",[22,7764,7765],{},"By enforcing this separation, the system eliminates \"hallucinated math.\" The deterministic layer ensures that the underlying calculation is reproducible and verifiable, which is a prerequisite for clinical-grade software. This approach shifts the burden of accuracy from the model's weights to the system's architecture, allowing developers to audit the logic and the computation independently. This is a critical step toward integrating AI into clinical workflows where error rates must be near zero.",{"title":83,"searchDepth":84,"depth":84,"links":7767},[7768,7769,7770],{"id":7720,"depth":84,"text":7721},{"id":7727,"depth":84,"text":7728},{"id":7761,"depth":84,"text":7762},[90],{"content_references":7773,"triage":7778},[7774],{"type":97,"title":7775,"url":7776,"context":7777},"Towards a Deterministic Math Solver for Clinical Language Models","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.10728","reviewed",{"relevance":103,"novelty":103,"quality":103,"actionability":104,"composite":105,"reasoning":7779},"Category: AI & LLMs. The article discusses a novel architecture for improving the reliability of LLMs in clinical settings, addressing a specific pain point of accuracy in high-stakes environments. It provides a structured approach to separating reasoning from execution, which could be actionable for developers looking to implement similar solutions.","\u002Fsummaries\u002F3c2ca1819c150892-deterministic-math-solvers-for-clinical-llms-summary","2026-09-13 03:09:04",{"title":7710,"description":83},{"loc":7780},"3c2ca1819c150892","summaries\u002F3c2ca1819c150892-deterministic-math-solvers-for-clinical-llms-summary",[117,119,118],"To address the unreliability of LLMs in clinical settings, this paper proposes a deterministic math solver architecture that separates reasoning from calculation, ensuring accuracy in high-stakes medical computations.",[],"9IZxWzYEjsTXtAfgyw_ooEiI4jX_iXHRhQlriULQnIo",{"id":7791,"title":7792,"ai":7793,"body":7798,"categories":7846,"created_at":91,"date_modified":91,"description":83,"extension":92,"faq":91,"featured":93,"kicker_label":91,"meta":7847,"navigation":107,"path":7857,"published_at":7858,"question":91,"scraped_at":7858,"seo":7859,"sitemap":7860,"source_id":7861,"source_name":113,"source_type":114,"source_url":7851,"stem":7862,"tags":7863,"thumbnail_url":91,"tldr":7864,"tweet":91,"unknown_tags":7865,"__hash__":7866},"summaries\u002Fsummaries\u002Fed706210a63e34b5-pragma-enhancing-long-term-ai-memory-alignment-summary.md","PRAGMA: Enhancing Long-Term AI Memory Alignment",{"provider":7,"model":8,"input_tokens":7794,"output_tokens":7795,"processing_time_ms":7796,"cost_usd":7797},4032,541,3158,0.0018195,{"type":14,"value":7799,"toc":7841},[7800,7804,7807,7811,7814,7834,7838],[17,7801,7803],{"id":7802},"the-challenge-of-lifelong-memory-alignment","The Challenge of Lifelong Memory Alignment",[22,7805,7806],{},"Most current LLM interactions are ephemeral, treating each session as a blank slate. As AI assistants move toward long-term, personalized roles, the ability to maintain 'memory alignment'—the consistency between the model's stored knowledge of a user and its current guidance—becomes critical. The PRAGMA framework addresses the lack of standardized evaluation for these lifelong conversational systems.",[17,7808,7810],{"id":7809},"the-pragma-evaluation-framework","The PRAGMA Evaluation Framework",[22,7812,7813],{},"PRAGMA provides a structured approach to testing whether an AI assistant can effectively retrieve and apply user-specific context over extended periods. The framework focuses on:",[33,7815,7816,7822,7828],{},[36,7817,7818,7821],{},[39,7819,7820],{},"Personalized Guidance:"," Assessing whether the model's advice adapts to the user's history, preferences, and past constraints rather than providing generic, static responses.",[36,7823,7824,7827],{},[39,7825,7826],{},"Memory Consistency:"," Evaluating the model's ability to avoid contradictions when referencing past interactions, ensuring that the 'persona' of the assistant remains stable over time.",[36,7829,7830,7833],{},[39,7831,7832],{},"Alignment Metrics:"," Quantifying the delta between the model's internal memory state and the actual requirements of the user's current context. This allows developers to identify where memory retrieval fails or where the model hallucinates past user preferences.",[17,7835,7837],{"id":7836},"practical-implications-for-ai-builders","Practical Implications for AI Builders",[22,7839,7840],{},"For engineers building AI-powered products, PRAGMA highlights that memory is not just a retrieval problem (RAG) but an alignment problem. The research suggests that simply stuffing context into a prompt is insufficient for long-term consistency. Instead, systems must be evaluated on their ability to synthesize historical data into actionable, personalized guidance. By using the PRAGMA benchmarks, developers can move beyond anecdotal testing and quantitatively measure how well their agents retain user context across weeks or months of interaction.",{"title":83,"searchDepth":84,"depth":84,"links":7842},[7843,7844,7845],{"id":7802,"depth":84,"text":7803},{"id":7809,"depth":84,"text":7810},{"id":7836,"depth":84,"text":7837},[90],{"content_references":7848,"triage":7853},[7849],{"type":97,"title":7850,"url":7851,"context":7852},"PRAGMA: Evaluating Personalized Guidance with Memory Alignment in Lifelong Conversations","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.09664","mentioned",{"relevance":7854,"novelty":103,"quality":103,"actionability":103,"composite":7855,"reasoning":7856},5,4.35,"Category: AI & LLMs. The article introduces the PRAGMA framework, which directly addresses a key pain point for AI builders regarding memory alignment in long-term AI interactions. It provides actionable insights on evaluating AI systems, making it highly relevant and practical for developers looking to enhance user experience.","\u002Fsummaries\u002Fed706210a63e34b5-pragma-enhancing-long-term-ai-memory-alignment-summary","2026-09-12 03:10:34",{"title":7792,"description":83},{"loc":7857},"ed706210a63e34b5","summaries\u002Fed706210a63e34b5-pragma-enhancing-long-term-ai-memory-alignment-summary",[117,119,118],"PRAGMA introduces a framework for evaluating how well AI models maintain personalized, consistent guidance across lifelong conversations by measuring memory alignment.",[],"dsZhawcfTW55TskiBekvrf24dUF-Wk07SnftOWbialA",{"id":7868,"title":7869,"ai":7870,"body":7875,"categories":7941,"created_at":91,"date_modified":91,"description":83,"extension":92,"faq":91,"featured":93,"kicker_label":91,"meta":7942,"navigation":107,"path":7951,"published_at":7952,"question":91,"scraped_at":7952,"seo":7953,"sitemap":7954,"source_id":7955,"source_name":113,"source_type":114,"source_url":7947,"stem":7956,"tags":7957,"thumbnail_url":91,"tldr":7958,"tweet":91,"unknown_tags":7959,"__hash__":7960},"summaries\u002Fsummaries\u002Fe0938d64f48826bb-llms-in-mental-health-applications-and-ethical-con-summary.md","LLMs in Mental Health: Applications and Ethical Constraints",{"provider":7,"model":8,"input_tokens":7871,"output_tokens":7872,"processing_time_ms":7873,"cost_usd":7874},4128,550,2822,0.001857,{"type":14,"value":7876,"toc":7937},[7877,7881,7884,7910,7914,7917],[17,7878,7880],{"id":7879},"expanding-clinical-and-diagnostic-capabilities","Expanding Clinical and Diagnostic Capabilities",[22,7882,7883],{},"Large Language Models (LLMs) are increasingly integrated into mental health workflows, moving beyond simple chatbots to sophisticated diagnostic and support tools. Key applications include:",[33,7885,7886,7892,7898,7904],{},[36,7887,7888,7891],{},[39,7889,7890],{},"Social Media Analysis:"," Leveraging LLMs to monitor public discourse and user-generated content to identify early markers of mental health conditions, enabling proactive intervention.",[36,7893,7894,7897],{},[39,7895,7896],{},"Clinical Conversational Agents:"," Deploying AI-driven agents that provide 24\u002F7 support, symptom tracking, and basic cognitive behavioral therapy (CBT) techniques to bridge gaps in therapist availability.",[36,7899,7900,7903],{},[39,7901,7902],{},"Therapy Support Tools:"," Assisting clinicians by automating documentation, summarizing patient sessions, and providing real-time insights during consultations to improve diagnostic accuracy.",[36,7905,7906,7909],{},[39,7907,7908],{},"Multimodal Learning:"," Integrating text with other data modalities (such as voice patterns or physiological signals) to create a more holistic view of a patient's mental state, moving toward more personalized treatment plans.",[17,7911,7913],{"id":7912},"ethical-challenges-and-implementation-risks","Ethical Challenges and Implementation Risks",[22,7915,7916],{},"The transition of LLMs from research environments to clinical practice introduces significant systemic risks that require rigorous management:",[33,7918,7919,7925,7931],{},[36,7920,7921,7924],{},[39,7922,7923],{},"Data Privacy and Security:"," The sensitive nature of mental health data necessitates strict adherence to HIPAA and other global privacy standards. LLMs must be architected to ensure patient anonymity and prevent unauthorized data leakage.",[36,7926,7927,7930],{},[39,7928,7929],{},"Algorithmic Bias:"," Models trained on non-representative datasets risk perpetuating existing healthcare disparities, potentially leading to misdiagnosis or inadequate support for marginalized populations.",[36,7932,7933,7936],{},[39,7934,7935],{},"Human-in-the-Loop Necessity:"," Despite the efficiency gains, LLMs lack the empathy and nuanced judgment required for high-stakes psychiatric care. The consensus is that these tools should function as decision-support systems rather than autonomous diagnostic agents, ensuring that a qualified professional always maintains final oversight of patient care.",{"title":83,"searchDepth":84,"depth":84,"links":7938},[7939,7940],{"id":7879,"depth":84,"text":7880},{"id":7912,"depth":84,"text":7913},[90],{"content_references":7943,"triage":7948},[7944],{"type":97,"title":7945,"author":99,"publisher":7946,"url":7947,"context":7777},"Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges","Journal of Industrial Integration and Management","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.18080",{"relevance":104,"novelty":104,"quality":103,"actionability":84,"composite":7949,"reasoning":7950},3.05,"Category: AI & LLMs. The article discusses the applications of LLMs in mental health, which is relevant to the AI & LLMs category, but it primarily focuses on theoretical implications rather than practical applications for product builders. While it presents some new insights into ethical challenges, it lacks specific actionable steps that the audience can implement.","\u002Fsummaries\u002Fe0938d64f48826bb-llms-in-mental-health-applications-and-ethical-con-summary","2026-08-21 03:13:10",{"title":7869,"description":83},{"loc":7951},"e0938d64f48826bb","summaries\u002Fe0938d64f48826bb-llms-in-mental-health-applications-and-ethical-con-summary",[117,119,118],"Large Language Models are transforming mental health through automated screening and clinical support, but their deployment faces critical hurdles in data privacy, algorithmic bias, and the necessity of human-in-the-loop oversight.",[],"ii_qSp6p1QPTwBj8GBiCrpOzbL0ylU6IzB02_J1qwv8",{"id":7962,"title":7963,"ai":7964,"body":7969,"categories":8017,"created_at":91,"date_modified":91,"description":83,"extension":92,"faq":91,"featured":93,"kicker_label":91,"meta":8018,"navigation":107,"path":8025,"published_at":8026,"question":91,"scraped_at":8026,"seo":8027,"sitemap":8028,"source_id":8029,"source_name":113,"source_type":114,"source_url":8022,"stem":8030,"tags":8031,"thumbnail_url":91,"tldr":8032,"tweet":91,"unknown_tags":8033,"__hash__":8034},"summaries\u002Fsummaries\u002F43a9e73a734e0eb1-knowsim-evaluating-llm-calibration-via-adaptive-us-summary.md","KnowSim: Evaluating LLM Calibration via Adaptive User Simulators",{"provider":7,"model":8,"input_tokens":7965,"output_tokens":7966,"processing_time_ms":7967,"cost_usd":7968},4033,600,4201,0.0010096,{"type":14,"value":7970,"toc":8012},[7971,7975,7978,7982,7985,8005,8009],[17,7972,7974],{"id":7973},"evaluating-information-calibration-through-interaction","Evaluating Information Calibration through Interaction",[22,7976,7977],{},"The core challenge in deploying LLM assistants is ensuring they correctly calibrate their output based on the user's existing knowledge. Traditional benchmarks often rely on static datasets that fail to capture the nuances of a multi-turn conversation where an assistant must adjust its depth and tone based on user feedback. KnowSim addresses this by utilizing user simulators that learn and adapt, allowing researchers to evaluate how effectively an assistant identifies and responds to a user's information gaps or misconceptions.",[17,7979,7981],{"id":7980},"the-role-of-learning-based-user-simulators","The Role of Learning-Based User Simulators",[22,7983,7984],{},"KnowSim shifts the evaluation paradigm from static evaluation to a dynamic, iterative process. By training simulators to mimic human interaction patterns, the framework can generate diverse, realistic user personas that challenge an assistant's ability to maintain calibration over time. This approach allows for:",[33,7986,7987,7993,7999],{},[36,7988,7989,7992],{},[39,7990,7991],{},"Dynamic Adaptation:"," The simulator adjusts its responses based on the assistant's previous turns, simulating a real-world feedback loop.",[36,7994,7995,7998],{},[39,7996,7997],{},"Calibration Metrics:"," The framework measures how accurately the assistant detects when a user is confused, over-informed, or misinformed, and how it adjusts its subsequent responses to align with the user's actual knowledge state.",[36,8000,8001,8004],{},[39,8002,8003],{},"Scalable Testing:"," By automating the user side of the interaction, researchers can run thousands of simulated conversations to identify edge cases where the assistant's calibration fails, which would be prohibitively expensive and slow with human-in-the-loop testing.",[17,8006,8008],{"id":8007},"implications-for-assistant-design","Implications for Assistant Design",[22,8010,8011],{},"This research highlights that effective AI assistance is not just about factual accuracy, but about the social and cognitive alignment between the model and the user. The KnowSim framework provides a structured way to quantify this alignment, suggesting that future assistant development should prioritize 'calibration-aware' training objectives. By treating the user as a dynamic variable rather than a static recipient of information, developers can build systems that are significantly more helpful in complex, multi-step problem-solving scenarios.",{"title":83,"searchDepth":84,"depth":84,"links":8013},[8014,8015,8016],{"id":7973,"depth":84,"text":7974},{"id":7980,"depth":84,"text":7981},{"id":8007,"depth":84,"text":8008},[90],{"content_references":8019,"triage":8023},[8020],{"type":97,"title":8021,"url":8022,"context":7777},"KnowSim: Evaluating Information Calibration in LLM Assistants with User Simulators that Learn","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.17150",{"relevance":103,"novelty":103,"quality":103,"actionability":104,"composite":105,"reasoning":8024},"Category: AI & LLMs. The article introduces a novel framework for evaluating LLM calibration, addressing a specific pain point in AI assistant development by moving beyond static benchmarks. It provides insights into dynamic testing methods, which could inform product builders about improving AI interactions, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F43a9e73a734e0eb1-knowsim-evaluating-llm-calibration-via-adaptive-us-summary","2026-08-20 03:12:40",{"title":7963,"description":83},{"loc":8025},"43a9e73a734e0eb1","summaries\u002F43a9e73a734e0eb1-knowsim-evaluating-llm-calibration-via-adaptive-us-summary",[117,118,119],"KnowSim introduces a framework using learning-based user simulators to evaluate how well LLM assistants calibrate their responses to user knowledge, moving beyond static benchmarks to dynamic, interactive testing.",[],"-opxiuvsmlIodI6MKmmqZevKFliFm_sgQFNIzJQ3x18"]