[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-48d481f903a72548-scaling-human-feedback-for-ai-model-evaluation-summary":3,"summaries-facets-categories":87,"summary-related-48d481f903a72548-scaling-human-feedback-for-ai-model-evaluation-summary":6505},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":69,"path":70,"published_at":71,"question":48,"scraped_at":72,"seo":73,"sitemap":74,"source_id":75,"source_name":76,"source_type":77,"source_url":78,"stem":79,"tags":80,"thumbnail_url":48,"tldr":84,"tweet":48,"unknown_tags":85,"__hash__":86},"summaries\u002Fsummaries\u002F48d481f903a72548-scaling-human-feedback-for-ai-model-evaluation-summary.md","Scaling Human Feedback for AI Model Evaluation",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",5857,613,2790,0.00238375,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"the-value-of-human-preference-data","The Value of Human Preference Data",[22,23,24],"p",{},"DesignArena addresses a critical bottleneck in generative AI: the gap between functional output and human-perceived quality. While automated benchmarks are scalable, they are susceptible to gaming and manipulation. By implementing a crowdsourced \"A vs. B\" ranking system, the platform provides frontier AI labs with granular, human-led preference data. This feedback loop allows models to better align with subjective user tastes, such as regional design preferences (e.g., maximalist styles in Asian markets), which automated metrics often fail to capture.",[17,26,28],{"id":27},"business-model-and-market-position","Business Model and Market Position",[22,30,31],{},"Operating under the parent company Intelligence, the platform has scaled to 5.3 million users. Its primary revenue stream is enterprise-focused, selling high-quality evaluation data to frontier labs that need to refine their media-generating models. The company reports $60 million in ARR, demonstrating that human-in-the-loop evaluation is a high-demand service for labs competing to build the most capable models.",[17,33,35],{"id":34},"the-risks-of-human-led-evaluation","The Risks of Human-Led Evaluation",[22,37,38],{},"Despite the success of platforms like DesignArena and LM Arena, the market for human evaluation is not guaranteed to be sustainable. The failure of Yupp—which raised $33 million but could not maintain a viable business despite having 1.3 million users—highlights the difficulty of building a long-term, profitable model around crowdsourced feedback. Success in this space requires not just user volume, but a deep, ongoing integration into the training pipelines of major frontier labs.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI & LLMs",null,"md",false,{"content_references":52,"triage":64},[53,58,61],{"type":54,"title":55,"url":56,"context":57},"tool","DesignArena","https:\u002F\u002Fwww.designarena.ai\u002F","mentioned",{"type":54,"title":59,"url":60,"context":57},"Intelligence","https:\u002F\u002Fwww.intelligence.ai\u002F",{"type":54,"title":62,"url":63,"context":57},"LM Arena","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F01\u002F06\u002Flmarena-lands-1-7b-valuation-four-months-after-launching-its-product\u002F",{"relevance":65,"novelty":66,"quality":65,"actionability":41,"composite":67,"reasoning":68},4,3,3.4,"Category: AI & LLMs. The article discusses a platform that provides human preference data for AI model evaluation, addressing a specific pain point in AI development. However, while it presents some insights into the business model and market position, it lacks detailed actionable steps for the audience to implement similar strategies.",true,"\u002Fsummaries\u002F48d481f903a72548-scaling-human-feedback-for-ai-model-evaluation-summary","2026-08-03 19:28:57","2026-08-04 03:10:11",{"title":5,"description":40},{"loc":70},"48d481f903a72548","TechCrunch — AI","article","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F08\u002F03\u002Fdesignarena-creators-raise-7-9-million-to-bring-taste-to-ai-models\u002F","summaries\u002F48d481f903a72548-scaling-human-feedback-for-ai-model-evaluation-summary",[81,82,83],"data-science","startups","ai-llms","DesignArena, a platform for crowdsourced human evaluation of generative AI, has raised $7.9M to provide frontier labs with high-quality preference data, currently generating $60M in ARR.",[83],"iuRGkEbFErMj-mxJBz3KXk7C_sxJq9_ZMTyO38sXpRI",[88,90,93,95,98,100,103,106,108,110,112,115,117,119,121,123,126,128,130,132,134,137,140,142,144,146,148,150,152,154,156,158,160,162,164,166,168,170,172,174,176,178,180,183,185,187,189,191,193,195,197,199,201,203,205,207,209,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,249,251,253,255,257,259,261,263,265,267,269,271,273,275,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,341,343,345,347,349,351,353,355,357,359,361,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,397,399,401,403,405,407,409,411,413,415,417,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,475,477,479,482,484,486,488,490,492,494,496,498,500,502,504,506,508,511,513,515,517,519,521,523,525,527,529,531,533,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,811,813,815,817,819,822,824,826,828,830,832,834,836,838,840,842,844,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503],{"categories":89},[47],{"categories":91},[92],"Developer Productivity",{"categories":94},[47],{"categories":96},[97],"Business & SaaS",{"categories":99},[47],{"categories":101},[102],"AI Automation",{"categories":104},[105],"Product Strategy",{"categories":107},[47],{"categories":109},[92],{"categories":111},[102],{"categories":113},[114],"Software Engineering",{"categories":116},[47],{"categories":118},[97],{"categories":120},[],{"categories":122},[47],{"categories":124},[125],"Inference & Serving",{"categories":127},[47],{"categories":129},[47],{"categories":131},[102],{"categories":133},[],{"categories":135},[136],"AI News & Trends",{"categories":138},[139],"Data Science & Visualization",{"categories":141},[102],{"categories":143},[47],{"categories":145},[47],{"categories":147},[97],{"categories":149},[92],{"categories":151},[47],{"categories":153},[102],{"categories":155},[136],{"categories":157},[102],{"categories":159},[102],{"categories":161},[47],{"categories":163},[102],{"categories":165},[47],{"categories":167},[47],{"categories":169},[47],{"categories":171},[136],{"categories":173},[47],{"categories":175},[47],{"categories":177},[47],{"categories":179},[],{"categories":181},[182],"Design & Frontend",{"categories":184},[139],{"categories":186},[136],{"categories":188},[47],{"categories":190},[47],{"categories":192},[47],{"categories":194},[],{"categories":196},[47],{"categories":198},[47],{"categories":200},[102],{"categories":202},[114],{"categories":204},[47],{"categories":206},[102],{"categories":208},[47],{"categories":210},[211],"Marketing & Growth",{"categories":213},[182],{"categories":215},[47],{"categories":217},[102],{"categories":219},[47],{"categories":221},[114],{"categories":223},[],{"categories":225},[],{"categories":227},[182],{"categories":229},[47],{"categories":231},[102],{"categories":233},[92],{"categories":235},[114],{"categories":237},[102],{"categories":239},[182],{"categories":241},[105],{"categories":243},[47],{"categories":245},[114],{"categories":247},[248],"DevOps & Cloud",{"categories":250},[102],{"categories":252},[105],{"categories":254},[136],{"categories":256},[47],{"categories":258},[],{"categories":260},[47],{"categories":262},[47],{"categories":264},[],{"categories":266},[102],{"categories":268},[114],{"categories":270},[],{"categories":272},[114],{"categories":274},[47],{"categories":276},[277],"Governance & Standards",{"categories":279},[97],{"categories":281},[],{"categories":283},[],{"categories":285},[47],{"categories":287},[47],{"categories":289},[102],{"categories":291},[47],{"categories":293},[47],{"categories":295},[102],{"categories":297},[47],{"categories":299},[47],{"categories":301},[47],{"categories":303},[],{"categories":305},[114],{"categories":307},[],{"categories":309},[],{"categories":311},[47],{"categories":313},[114],{"categories":315},[],{"categories":317},[114],{"categories":319},[47],{"categories":321},[47],{"categories":323},[211],{"categories":325},[47],{"categories":327},[47],{"categories":329},[182],{"categories":331},[182],{"categories":333},[47],{"categories":335},[114],{"categories":337},[102],{"categories":339},[340],"GovTech & Public-Sector Adoption",{"categories":342},[114],{"categories":344},[47],{"categories":346},[47],{"categories":348},[47],{"categories":350},[102],{"categories":352},[102],{"categories":354},[139],{"categories":356},[47],{"categories":358},[136],{"categories":360},[102],{"categories":362},[363],"Legal AI Tools",{"categories":365},[47],{"categories":367},[102],{"categories":369},[47],{"categories":371},[211],{"categories":373},[102],{"categories":375},[105],{"categories":377},[47],{"categories":379},[114],{"categories":381},[340],{"categories":383},[],{"categories":385},[102],{"categories":387},[],{"categories":389},[97],{"categories":391},[102],{"categories":393},[102],{"categories":395},[396],"RAG & Retrieval",{"categories":398},[97],{"categories":400},[47],{"categories":402},[114],{"categories":404},[114],{"categories":406},[248],{"categories":408},[182],{"categories":410},[102],{"categories":412},[47],{"categories":414},[47],{"categories":416},[],{"categories":418},[419],"Agents & Orchestration",{"categories":421},[114],{"categories":423},[47],{"categories":425},[],{"categories":427},[102],{"categories":429},[97],{"categories":431},[],{"categories":433},[47],{"categories":435},[],{"categories":437},[47],{"categories":439},[92],{"categories":441},[114],{"categories":443},[97],{"categories":445},[47],{"categories":447},[102],{"categories":449},[47],{"categories":451},[136],{"categories":453},[47],{"categories":455},[],{"categories":457},[47],{"categories":459},[],{"categories":461},[114],{"categories":463},[47],{"categories":465},[139],{"categories":467},[],{"categories":469},[47],{"categories":471},[182],{"categories":473},[474],"Models & Frontier Labs",{"categories":476},[],{"categories":478},[182],{"categories":480},[481],"Regulation & Governance of AI",{"categories":483},[102],{"categories":485},[],{"categories":487},[47],{"categories":489},[47],{"categories":491},[102],{"categories":493},[136],{"categories":495},[97],{"categories":497},[47],{"categories":499},[],{"categories":501},[114],{"categories":503},[102],{"categories":505},[47],{"categories":507},[105],{"categories":509},[510],"AI Policy & Regulation",{"categories":512},[],{"categories":514},[47],{"categories":516},[102],{"categories":518},[105],{"categories":520},[102],{"categories":522},[47],{"categories":524},[47],{"categories":526},[47],{"categories":528},[102],{"categories":530},[],{"categories":532},[139],{"categories":534},[535],"Evals & Reliability",{"categories":537},[47],{"categories":539},[47],{"categories":541},[],{"categories":543},[92],{"categories":545},[340],{"categories":547},[510],{"categories":549},[47],{"categories":551},[97],{"categories":553},[47],{"categories":555},[102],{"categories":557},[47],{"categories":559},[102],{"categories":561},[419],{"categories":563},[47],{"categories":565},[114],{"categories":567},[47],{"categories":569},[],{"categories":571},[],{"categories":573},[47],{"categories":575},[340],{"categories":577},[47],{"categories":579},[47],{"categories":581},[47],{"categories":583},[],{"categories":585},[182],{"categories":587},[],{"categories":589},[47],{"categories":591},[],{"categories":593},[102],{"categories":595},[47],{"categories":597},[182],{"categories":599},[],{"categories":601},[47],{"categories":603},[47],{"categories":605},[139],{"categories":607},[102],{"categories":609},[47],{"categories":611},[97],{"categories":613},[102],{"categories":615},[47],{"categories":617},[47],{"categories":619},[114],{"categories":621},[182],{"categories":623},[47],{"categories":625},[102],{"categories":627},[],{"categories":629},[114],{"categories":631},[102],{"categories":633},[139],{"categories":635},[],{"categories":637},[47],{"categories":639},[136],{"categories":641},[47],{"categories":643},[],{"categories":645},[47],{"categories":647},[47],{"categories":649},[47],{"categories":651},[97,211],{"categories":653},[],{"categories":655},[47],{"categories":657},[47],{"categories":659},[102],{"categories":661},[47],{"categories":663},[],{"categories":665},[],{"categories":667},[47],{"categories":669},[182],{"categories":671},[47],{"categories":673},[],{"categories":675},[47],{"categories":677},[248],{"categories":679},[],{"categories":681},[102],{"categories":683},[136],{"categories":685},[47],{"categories":687},[47],{"categories":689},[182],{"categories":691},[],{"categories":693},[136],{"categories":695},[47],{"categories":697},[125],{"categories":699},[47],{"categories":701},[47],{"categories":703},[102],{"categories":705},[136],{"categories":707},[474],{"categories":709},[47],{"categories":711},[211],{"categories":713},[],{"categories":715},[102],{"categories":717},[97],{"categories":719},[114],{"categories":721},[47],{"categories":723},[102],{"categories":725},[],{"categories":727},[47,248],{"categories":729},[47],{"categories":731},[47],{"categories":733},[47],{"categories":735},[102],{"categories":737},[47,114],{"categories":739},[139],{"categories":741},[47],{"categories":743},[47],{"categories":745},[114],{"categories":747},[47],{"categories":749},[102],{"categories":751},[510],{"categories":753},[211],{"categories":755},[47],{"categories":757},[102],{"categories":759},[47],{"categories":761},[47],{"categories":763},[102],{"categories":765},[],{"categories":767},[102],{"categories":769},[47],{"categories":771},[47],{"categories":773},[102],{"categories":775},[47],{"categories":777},[47,97],{"categories":779},[47],{"categories":781},[97],{"categories":783},[],{"categories":785},[182],{"categories":787},[182],{"categories":789},[47],{"categories":791},[],{"categories":793},[],{"categories":795},[47],{"categories":797},[136],{"categories":799},[],{"categories":801},[92],{"categories":803},[47],{"categories":805},[114],{"categories":807},[47],{"categories":809},[810],"Generative UI & Design-to-Code",{"categories":812},[47],{"categories":814},[47],{"categories":816},[182],{"categories":818},[47],{"categories":820},[821],"Algorithmic Accountability",{"categories":823},[102],{"categories":825},[114],{"categories":827},[136],{"categories":829},[182],{"categories":831},[47],{"categories":833},[],{"categories":835},[105],{"categories":837},[47],{"categories":839},[47],{"categories":841},[47],{"categories":843},[102],{"categories":845},[846],"MLOps & Infrastructure",{"categories":848},[47],{"categories":850},[47],{"categories":852},[47],{"categories":854},[47],{"categories":856},[47],{"categories":858},[136],{"categories":860},[105],{"categories":862},[92],{"categories":864},[47],{"categories":866},[102],{"categories":868},[248],{"categories":870},[47],{"categories":872},[97],{"categories":874},[47],{"categories":876},[182],{"categories":878},[47],{"categories":880},[47],{"categories":882},[102],{"categories":884},[],{"categories":886},[],{"categories":888},[47],{"categories":890},[125],{"categories":892},[182],{"categories":894},[136],{"categories":896},[139],{"categories":898},[],{"categories":900},[47],{"categories":902},[47],{"categories":904},[97],{"categories":906},[102],{"categories":908},[47],{"categories":910},[47],{"categories":912},[47],{"categories":914},[47],{"categories":916},[136],{"categories":918},[125],{"categories":920},[47],{"categories":922},[182],{"categories":924},[47],{"categories":926},[],{"categories":928},[102],{"categories":930},[114],{"categories":932},[],{"categories":934},[47],{"categories":936},[47],{"categories":938},[102],{"categories":940},[114],{"categories":942},[47],{"categories":944},[139],{"categories":946},[],{"categories":948},[47],{"categories":950},[],{"categories":952},[47],{"categories":954},[],{"categories":956},[105],{"categories":958},[97],{"categories":960},[102],{"categories":962},[102],{"categories":964},[],{"categories":966},[92],{"categories":968},[47],{"categories":970},[47],{"categories":972},[97],{"categories":974},[136],{"categories":976},[92],{"categories":978},[],{"categories":980},[47],{"categories":982},[],{"categories":984},[],{"categories":986},[136],{"categories":988},[136],{"categories":990},[],{"categories":992},[419],{"categories":994},[47],{"categories":996},[182],{"categories":998},[114],{"categories":1000},[],{"categories":1002},[363],{"categories":1004},[102],{"categories":1006},[97],{"categories":1008},[],{"categories":1010},[],{"categories":1012},[92],{"categories":1014},[139],{"categories":1016},[],{"categories":1018},[211],{"categories":1020},[102],{"categories":1022},[97],{"categories":1024},[102],{"categories":1026},[97],{"categories":1028},[47],{"categories":1030},[114],{"categories":1032},[],{"categories":1034},[125],{"categories":1036},[105],{"categories":1038},[47],{"categories":1040},[182],{"categories":1042},[114],{"categories":1044},[97],{"categories":1046},[47],{"categories":1048},[102],{"categories":1050},[97],{"categories":1052},[47],{"categories":1054},[47],{"categories":1056},[47],{"categories":1058},[47],{"categories":1060},[47],{"categories":1062},[],{"categories":1064},[],{"categories":1066},[114],{"categories":1068},[139],{"categories":1070},[105],{"categories":1072},[47],{"categories":1074},[102],{"categories":1076},[114],{"categories":1078},[47],{"categories":1080},[],{"categories":1082},[136],{"categories":1084},[105],{"categories":1086},[114],{"categories":1088},[47],{"categories":1090},[535],{"categories":1092},[248],{"categories":1094},[],{"categories":1096},[102],{"categories":1098},[47],{"categories":1100},[],{"categories":1102},[92],{"categories":1104},[],{"categories":1106},[47],{"categories":1108},[47],{"categories":1110},[47],{"categories":1112},[182],{"categories":1114},[211],{"categories":1116},[47],{"categories":1118},[114],{"categories":1120},[47],{"categories":1122},[102],{"categories":1124},[],{"categories":1126},[114],{"categories":1128},[47],{"categories":1130},[92],{"categories":1132},[],{"categories":1134},[97],{"categories":1136},[47],{"categories":1138},[136],{"categories":1140},[47,248],{"categories":1142},[47],{"categories":1144},[1145],"Design Systems for AI",{"categories":1147},[47],{"categories":1149},[47],{"categories":1151},[136],{"categories":1153},[47],{"categories":1155},[47],{"categories":1157},[47],{"categories":1159},[97],{"categories":1161},[47],{"categories":1163},[47],{"categories":1165},[47],{"categories":1167},[],{"categories":1169},[47],{"categories":1171},[47],{"categories":1173},[97],{"categories":1175},[47],{"categories":1177},[],{"categories":1179},[102],{"categories":1181},[114],{"categories":1183},[136],{"categories":1185},[114],{"categories":1187},[47],{"categories":1189},[182],{"categories":1191},[136],{"categories":1193},[139],{"categories":1195},[47],{"categories":1197},[47],{"categories":1199},[102],{"categories":1201},[92],{"categories":1203},[510],{"categories":1205},[47],{"categories":1207},[102],{"categories":1209},[47],{"categories":1211},[114],{"categories":1213},[114],{"categories":1215},[],{"categories":1217},[],{"categories":1219},[102],{"categories":1221},[105],{"categories":1223},[],{"categories":1225},[97],{"categories":1227},[47],{"categories":1229},[],{"categories":1231},[182],{"categories":1233},[102],{"categories":1235},[114],{"categories":1237},[182],{"categories":1239},[47],{"categories":1241},[47],{"categories":1243},[182],{"categories":1245},[],{"categories":1247},[],{"categories":1249},[136],{"categories":1251},[102],{"categories":1253},[102],{"categories":1255},[47],{"categories":1257},[47],{"categories":1259},[47],{"categories":1261},[47],{"categories":1263},[97],{"categories":1265},[47],{"categories":1267},[47],{"categories":1269},[],{"categories":1271},[114],{"categories":1273},[114],{"categories":1275},[47],{"categories":1277},[114],{"categories":1279},[97],{"categories":1281},[],{"categories":1283},[47],{"categories":1285},[47],{"categories":1287},[47],{"categories":1289},[47],{"categories":1291},[47],{"categories":1293},[102],{"categories":1295},[92],{"categories":1297},[97],{"categories":1299},[47],{"categories":1301},[102],{"categories":1303},[136],{"categories":1305},[102],{"categories":1307},[125],{"categories":1309},[211],{"categories":1311},[47],{"categories":1313},[102],{"categories":1315},[47],{"categories":1317},[47],{"categories":1319},[],{"categories":1321},[182],{"categories":1323},[],{"categories":1325},[47],{"categories":1327},[47],{"categories":1329},[],{"categories":1331},[114],{"categories":1333},[97],{"categories":1335},[1336],"Visual & Generative Media",{"categories":1338},[102],{"categories":1340},[],{"categories":1342},[47],{"categories":1344},[47],{"categories":1346},[114],{"categories":1348},[248],{"categories":1350},[139],{"categories":1352},[510],{"categories":1354},[114],{"categories":1356},[211],{"categories":1358},[47],{"categories":1360},[182],{"categories":1362},[47],{"categories":1364},[47],{"categories":1366},[114],{"categories":1368},[102],{"categories":1370},[47],{"categories":1372},[],{"categories":1374},[],{"categories":1376},[102],{"categories":1378},[114],{"categories":1380},[92],{"categories":1382},[102],{"categories":1384},[474],{"categories":1386},[47],{"categories":1388},[105],{"categories":1390},[47],{"categories":1392},[97],{"categories":1394},[],{"categories":1396},[47],{"categories":1398},[105],{"categories":1400},[47],{"categories":1402},[47],{"categories":1404},[47],{"categories":1406},[105],{"categories":1408},[47],{"categories":1410},[47],{"categories":1412},[211],{"categories":1414},[47],{"categories":1416},[419],{"categories":1418},[47],{"categories":1420},[102],{"categories":1422},[47],{"categories":1424},[47],{"categories":1426},[47],{"categories":1428},[47],{"categories":1430},[182],{"categories":1432},[102],{"categories":1434},[],{"categories":1436},[102],{"categories":1438},[],{"categories":1440},[248],{"categories":1442},[114],{"categories":1444},[],{"categories":1446},[474],{"categories":1448},[47],{"categories":1450},[102],{"categories":1452},[47],{"categories":1454},[182,47],{"categories":1456},[92],{"categories":1458},[47],{"categories":1460},[182],{"categories":1462},[],{"categories":1464},[47],{"categories":1466},[92],{"categories":1468},[1469],"Medical Imaging & Radiology",{"categories":1471},[47],{"categories":1473},[182],{"categories":1475},[102],{"categories":1477},[114],{"categories":1479},[],{"categories":1481},[47],{"categories":1483},[47],{"categories":1485},[47],{"categories":1487},[],{"categories":1489},[],{"categories":1491},[47],{"categories":1493},[419],{"categories":1495},[47],{"categories":1497},[92],{"categories":1499},[47],{"categories":1501},[47],{"categories":1503},[],{"categories":1505},[102],{"categories":1507},[47],{"categories":1509},[105],{"categories":1511},[114],{"categories":1513},[47],{"categories":1515},[419],{"categories":1517},[47],{"categories":1519},[102],{"categories":1521},[47],{"categories":1523},[47],{"categories":1525},[47],{"categories":1527},[182],{"categories":1529},[102],{"categories":1531},[248],{"categories":1533},[182],{"categories":1535},[97],{"categories":1537},[102],{"categories":1539},[136],{"categories":1541},[47],{"categories":1543},[47],{"categories":1545},[105],{"categories":1547},[47],{"categories":1549},[47],{"categories":1551},[47],{"categories":1553},[102],{"categories":1555},[114],{"categories":1557},[114],{"categories":1559},[47],{"categories":1561},[105],{"categories":1563},[],{"categories":1565},[136],{"categories":1567},[],{"categories":1569},[105],{"categories":1571},[102],{"categories":1573},[47],{"categories":1575},[102],{"categories":1577},[1145],{"categories":1579},[1145],{"categories":1581},[182],{"categories":1583},[47],{"categories":1585},[47],{"categories":1587},[102],{"categories":1589},[114],{"categories":1591},[182],{"categories":1593},[102],{"categories":1595},[136],{"categories":1597},[],{"categories":1599},[47],{"categories":1601},[],{"categories":1603},[47],{"categories":1605},[47],{"categories":1607},[47],{"categories":1609},[47],{"categories":1611},[102],{"categories":1613},[1614],"Contract Review & E-Discovery",{"categories":1616},[47],{"categories":1618},[182],{"categories":1620},[47],{"categories":1622},[92],{"categories":1624},[47],{"categories":1626},[136],{"categories":1628},[47],{"categories":1630},[47],{"categories":1632},[211],{"categories":1634},[114],{"categories":1636},[47],{"categories":1638},[47],{"categories":1640},[102],{"categories":1642},[102],{"categories":1644},[821],{"categories":1646},[47],{"categories":1648},[47],{"categories":1650},[102],{"categories":1652},[102],{"categories":1654},[47],{"categories":1656},[47],{"categories":1658},[102],{"categories":1660},[47],{"categories":1662},[47],{"categories":1664},[419],{"categories":1666},[396],{"categories":1668},[47],{"categories":1670},[102],{"categories":1672},[47],{"categories":1674},[1675],"Law-Firm Practice & Adoption",{"categories":1677},[47],{"categories":1679},[102],{"categories":1681},[182],{"categories":1683},[47],{"categories":1685},[47],{"categories":1687},[47],{"categories":1689},[],{"categories":1691},[],{"categories":1693},[114],{"categories":1695},[47],{"categories":1697},[],{"categories":1699},[102],{"categories":1701},[92],{"categories":1703},[248],{"categories":1705},[47],{"categories":1707},[],{"categories":1709},[92],{"categories":1711},[97],{"categories":1713},[47],{"categories":1715},[211],{"categories":1717},[],{"categories":1719},[97],{"categories":1721},[97],{"categories":1723},[],{"categories":1725},[47],{"categories":1727},[105],{"categories":1729},[47],{"categories":1731},[114],{"categories":1733},[],{"categories":1735},[],{"categories":1737},[],{"categories":1739},[],{"categories":1741},[47],{"categories":1743},[102],{"categories":1745},[248],{"categories":1747},[47],{"categories":1749},[92],{"categories":1751},[114],{"categories":1753},[47],{"categories":1755},[47],{"categories":1757},[114],{"categories":1759},[105],{"categories":1761},[47],{"categories":1763},[47],{"categories":1765},[47],{"categories":1767},[846],{"categories":1769},[47],{"categories":1771},[47],{"categories":1773},[211],{"categories":1775},[114],{"categories":1777},[97],{"categories":1779},[47],{"categories":1781},[47],{"categories":1783},[182],{"categories":1785},[47],{"categories":1787},[47],{"categories":1789},[47],{"categories":1791},[47],{"categories":1793},[102],{"categories":1795},[47,92],{"categories":1797},[419],{"categories":1799},[47],{"categories":1801},[47],{"categories":1803},[114],{"categories":1805},[114],{"categories":1807},[182],{"categories":1809},[102],{"categories":1811},[114],{"categories":1813},[47],{"categories":1815},[47],{"categories":1817},[],{"categories":1819},[],{"categories":1821},[47],{"categories":1823},[102],{"categories":1825},[],{"categories":1827},[47],{"categories":1829},[114],{"categories":1831},[139],{"categories":1833},[136],{"categories":1835},[182],{"categories":1837},[47],{"categories":1839},[47],{"categories":1841},[114],{"categories":1843},[],{"categories":1845},[102],{"categories":1847},[47],{"categories":1849},[47],{"categories":1851},[47],{"categories":1853},[47],{"categories":1855},[],{"categories":1857},[102],{"categories":1859},[47],{"categories":1861},[47],{"categories":1863},[],{"categories":1865},[102],{"categories":1867},[47],{"categories":1869},[47],{"categories":1871},[97],{"categories":1873},[47],{"categories":1875},[47],{"categories":1877},[],{"categories":1879},[92],{"categories":1881},[47],{"categories":1883},[47],{"categories":1885},[182],{"categories":1887},[114],{"categories":1889},[47],{"categories":1891},[92],{"categories":1893},[47],{"categories":1895},[114],{"categories":1897},[211],{"categories":1899},[102],{"categories":1901},[102],{"categories":1903},[47],{"categories":1905},[47],{"categories":1907},[47,182],{"categories":1909},[47],{"categories":1911},[102],{"categories":1913},[136],{"categories":1915},[47],{"categories":1917},[136],{"categories":1919},[102],{"categories":1921},[182],{"categories":1923},[47],{"categories":1925},[],{"categories":1927},[114],{"categories":1929},[248],{"categories":1931},[182],{"categories":1933},[114],{"categories":1935},[47],{"categories":1937},[105],{"categories":1939},[47],{"categories":1941},[47],{"categories":1943},[102],{"categories":1945},[],{"categories":1947},[],{"categories":1949},[47],{"categories":1951},[],{"categories":1953},[],{"categories":1955},[105],{"categories":1957},[114],{"categories":1959},[47],{"categories":1961},[102],{"categories":1963},[102],{"categories":1965},[97],{"categories":1967},[102],{"categories":1969},[248],{"categories":1971},[47],{"categories":1973},[47],{"categories":1975},[47],{"categories":1977},[125],{"categories":1979},[47],{"categories":1981},[47],{"categories":1983},[114],{"categories":1985},[102],{"categories":1987},[47],{"categories":1989},[47],{"categories":1991},[363],{"categories":1993},[821],{"categories":1995},[],{"categories":1997},[182],{"categories":1999},[1675],{"categories":2001},[114],{"categories":2003},[],{"categories":2005},[],{"categories":2007},[102],{"categories":2009},[],{"categories":2011},[],{"categories":2013},[47],{"categories":2015},[211],{"categories":2017},[47],{"categories":2019},[211],{"categories":2021},[102],{"categories":2023},[47],{"categories":2025},[114],{"categories":2027},[105],{"categories":2029},[],{"categories":2031},[47],{"categories":2033},[47],{"categories":2035},[114],{"categories":2037},[1614],{"categories":2039},[182],{"categories":2041},[182],{"categories":2043},[47],{"categories":2045},[102],{"categories":2047},[92],{"categories":2049},[47],{"categories":2051},[47],{"categories":2053},[47],{"categories":2055},[182],{"categories":2057},[182],{"categories":2059},[102],{"categories":2061},[102],{"categories":2063},[102],{"categories":2065},[47],{"categories":2067},[47],{"categories":2069},[],{"categories":2071},[47],{"categories":2073},[],{"categories":2075},[2076],"Interaction & Product Design",{"categories":2078},[47],{"categories":2080},[102],{"categories":2082},[114],{"categories":2084},[277],{"categories":2086},[136],{"categories":2088},[114],{"categories":2090},[47],{"categories":2092},[47],{"categories":2094},[114],{"categories":2096},[92],{"categories":2098},[102],{"categories":2100},[47],{"categories":2102},[],{"categories":2104},[102],{"categories":2106},[102],{"categories":2108},[],{"categories":2110},[114],{"categories":2112},[47],{"categories":2114},[92],{"categories":2116},[2076],{"categories":2118},[47],{"categories":2120},[92],{"categories":2122},[92],{"categories":2124},[],{"categories":2126},[102],{"categories":2128},[114],{"categories":2130},[],{"categories":2132},[102],{"categories":2134},[136],{"categories":2136},[47],{"categories":2138},[102],{"categories":2140},[47],{"categories":2142},[102],{"categories":2144},[47],{"categories":2146},[47],{"categories":2148},[136],{"categories":2150},[139],{"categories":2152},[47],{"categories":2154},[105],{"categories":2156},[114],{"categories":2158},[2159],"Coding Agents & Dev Productivity",{"categories":2161},[136],{"categories":2163},[182],{"categories":2165},[47],{"categories":2167},[47],{"categories":2169},[],{"categories":2171},[47],{"categories":2173},[821],{"categories":2175},[],{"categories":2177},[47],{"categories":2179},[248],{"categories":2181},[47],{"categories":2183},[136],{"categories":2185},[],{"categories":2187},[],{"categories":2189},[47],{"categories":2191},[],{"categories":2193},[102],{"categories":2195},[47],{"categories":2197},[],{"categories":2199},[114],{"categories":2201},[114],{"categories":2203},[47],{"categories":2205},[139],{"categories":2207},[],{"categories":2209},[47],{"categories":2211},[47],{"categories":2213},[47],{"categories":2215},[139],{"categories":2217},[114],{"categories":2219},[102],{"categories":2221},[],{"categories":2223},[],{"categories":2225},[47],{"categories":2227},[47],{"categories":2229},[102],{"categories":2231},[102],{"categories":2233},[340],{"categories":2235},[114],{"categories":2237},[114],{"categories":2239},[102],{"categories":2241},[136],{"categories":2243},[136],{"categories":2245},[102],{"categories":2247},[102],{"categories":2249},[47],{"categories":2251},[92],{"categories":2253},[2076],{"categories":2255},[47,248],{"categories":2257},[139],{"categories":2259},[],{"categories":2261},[182],{"categories":2263},[114],{"categories":2265},[92],{"categories":2267},[47],{"categories":2269},[102],{"categories":2271},[2272],"The Designer's Role & Craft",{"categories":2274},[182],{"categories":2276},[],{"categories":2278},[102],{"categories":2280},[47],{"categories":2282},[102],{"categories":2284},[102],{"categories":2286},[47],{"categories":2288},[211],{"categories":2290},[47],{"categories":2292},[114],{"categories":2294},[47],{"categories":2296},[182],{"categories":2298},[47],{"categories":2300},[],{"categories":2302},[102],{"categories":2304},[182],{"categories":2306},[47],{"categories":2308},[47],{"categories":2310},[47],{"categories":2312},[2313],"AI UX Patterns",{"categories":2315},[102],{"categories":2317},[102],{"categories":2319},[102],{"categories":2321},[102],{"categories":2323},[211],{"categories":2325},[139],{"categories":2327},[47],{"categories":2329},[102],{"categories":2331},[47],{"categories":2333},[1145],{"categories":2335},[],{"categories":2337},[211],{"categories":2339},[102],{"categories":2341},[136],{"categories":2343},[114],{"categories":2345},[47],{"categories":2347},[102],{"categories":2349},[],{"categories":2351},[],{"categories":2353},[47],{"categories":2355},[102],{"categories":2357},[47],{"categories":2359},[102],{"categories":2361},[340],{"categories":2363},[182],{"categories":2365},[47],{"categories":2367},[136],{"categories":2369},[114],{"categories":2371},[47],{"categories":2373},[102],{"categories":2375},[102],{"categories":2377},[],{"categories":2379},[47],{"categories":2381},[],{"categories":2383},[],{"categories":2385},[47],{"categories":2387},[47],{"categories":2389},[47],{"categories":2391},[102],{"categories":2393},[114],{"categories":2395},[],{"categories":2397},[],{"categories":2399},[139],{"categories":2401},[125],{"categories":2403},[47],{"categories":2405},[47],{"categories":2407},[139],{"categories":2409},[47],{"categories":2411},[136],{"categories":2413},[47],{"categories":2415},[47],{"categories":2417},[47],{"categories":2419},[102],{"categories":2421},[47],{"categories":2423},[102],{"categories":2425},[47],{"categories":2427},[47],{"categories":2429},[102],{"categories":2431},[],{"categories":2433},[],{"categories":2435},[47],{"categories":2437},[248],{"categories":2439},[47],{"categories":2441},[],{"categories":2443},[],{"categories":2445},[182],{"categories":2447},[846],{"categories":2449},[102],{"categories":2451},[92],{"categories":2453},[2272],{"categories":2455},[],{"categories":2457},[],{"categories":2459},[47],{"categories":2461},[],{"categories":2463},[],{"categories":2465},[114],{"categories":2467},[136],{"categories":2469},[211],{"categories":2471},[97],{"categories":2473},[47],{"categories":2475},[47],{"categories":2477},[97],{"categories":2479},[],{"categories":2481},[182],{"categories":2483},[105],{"categories":2485},[47],{"categories":2487},[47],{"categories":2489},[102],{"categories":2491},[97],{"categories":2493},[47],{"categories":2495},[47],{"categories":2497},[92],{"categories":2499},[47],{"categories":2501},[],{"categories":2503},[92],{"categories":2505},[47],{"categories":2507},[211],{"categories":2509},[102],{"categories":2511},[136],{"categories":2513},[47],{"categories":2515},[114],{"categories":2517},[47],{"categories":2519},[47],{"categories":2521},[97],{"categories":2523},[47],{"categories":2525},[47],{"categories":2527},[47],{"categories":2529},[102],{"categories":2531},[],{"categories":2533},[47],{"categories":2535},[114],{"categories":2537},[92],{"categories":2539},[47],{"categories":2541},[47],{"categories":2543},[47],{"categories":2545},[],{"categories":2547},[47],{"categories":2549},[419],{"categories":2551},[102],{"categories":2553},[97],{"categories":2555},[136],{"categories":2557},[47],{"categories":2559},[47],{"categories":2561},[],{"categories":2563},[97],{"categories":2565},[97],{"categories":2567},[47],{"categories":2569},[47],{"categories":2571},[105],{"categories":2573},[47],{"categories":2575},[47],{"categories":2577},[47],{"categories":2579},[47],{"categories":2581},[114],{"categories":2583},[114],{"categories":2585},[47],{"categories":2587},[],{"categories":2589},[114],{"categories":2591},[47],{"categories":2593},[114],{"categories":2595},[102],{"categories":2597},[510],{"categories":2599},[],{"categories":2601},[],{"categories":2603},[47],{"categories":2605},[136],{"categories":2607},[],{"categories":2609},[248],{"categories":2611},[47],{"categories":2613},[47],{"categories":2615},[182],{"categories":2617},[810],{"categories":2619},[],{"categories":2621},[47],{"categories":2623},[47],{"categories":2625},[47],{"categories":2627},[114],{"categories":2629},[47],{"categories":2631},[47],{"categories":2633},[47,248],{"categories":2635},[47],{"categories":2637},[47],{"categories":2639},[182],{"categories":2641},[102],{"categories":2643},[],{"categories":2645},[102],{"categories":2647},[102],{"categories":2649},[47],{"categories":2651},[47],{"categories":2653},[47],{"categories":2655},[47],{"categories":2657},[139],{"categories":2659},[47],{"categories":2661},[2313],{"categories":2663},[92],{"categories":2665},[139],{"categories":2667},[92],{"categories":2669},[114],{"categories":2671},[182],{"categories":2673},[102],{"categories":2675},[47],{"categories":2677},[],{"categories":2679},[97],{"categories":2681},[47],{"categories":2683},[47],{"categories":2685},[136],{"categories":2687},[47],{"categories":2689},[47],{"categories":2691},[102],{"categories":2693},[47],{"categories":2695},[47],{"categories":2697},[47],{"categories":2699},[97],{"categories":2701},[],{"categories":2703},[248],{"categories":2705},[47],{"categories":2707},[340],{"categories":2709},[182],{"categories":2711},[182],{"categories":2713},[114],{"categories":2715},[102],{"categories":2717},[47],{"categories":2719},[97],{"categories":2721},[136],{"categories":2723},[47],{"categories":2725},[47],{"categories":2727},[182],{"categories":2729},[102],{"categories":2731},[102],{"categories":2733},[47],{"categories":2735},[47],{"categories":2737},[474],{"categories":2739},[],{"categories":2741},[47],{"categories":2743},[47],{"categories":2745},[47],{"categories":2747},[],{"categories":2749},[],{"categories":2751},[47],{"categories":2753},[47],{"categories":2755},[102],{"categories":2757},[47],{"categories":2759},[47],{"categories":2761},[47],{"categories":2763},[114],{"categories":2765},[47],{"categories":2767},[47],{"categories":2769},[102],{"categories":2771},[47],{"categories":2773},[47],{"categories":2775},[47],{"categories":2777},[47],{"categories":2779},[47],{"categories":2781},[],{"categories":2783},[114],{"categories":2785},[139],{"categories":2787},[47],{"categories":2789},[102],{"categories":2791},[47],{"categories":2793},[],{"categories":2795},[],{"categories":2797},[47],{"categories":2799},[47],{"categories":2801},[47],{"categories":2803},[136],{"categories":2805},[139],{"categories":2807},[],{"categories":2809},[47],{"categories":2811},[182],{"categories":2813},[47],{"categories":2815},[248],{"categories":2817},[1675],{"categories":2819},[136],{"categories":2821},[114],{"categories":2823},[114],{"categories":2825},[114],{"categories":2827},[47],{"categories":2829},[47],{"categories":2831},[136],{"categories":2833},[136],{"categories":2835},[248],{"categories":2837},[102],{"categories":2839},[],{"categories":2841},[136],{"categories":2843},[47],{"categories":2845},[92],{"categories":2847},[114],{"categories":2849},[47],{"categories":2851},[136],{"categories":2853},[],{"categories":2855},[47],{"categories":2857},[114],{"categories":2859},[114],{"categories":2861},[139],{"categories":2863},[47],{"categories":2865},[136],{"categories":2867},[47],{"categories":2869},[114],{"categories":2871},[102],{"categories":2873},[136],{"categories":2875},[102],{"categories":2877},[248],{"categories":2879},[102],{"categories":2881},[47],{"categories":2883},[47],{"categories":2885},[47],{"categories":2887},[47],{"categories":2889},[114],{"categories":2891},[47],{"categories":2893},[],{"categories":2895},[102],{"categories":2897},[97],{"categories":2899},[114],{"categories":2901},[],{"categories":2903},[],{"categories":2905},[47],{"categories":2907},[102],{"categories":2909},[47],{"categories":2911},[47],{"categories":2913},[2914],"Frameworks & Tooling",{"categories":2916},[47],{"categories":2918},[47],{"categories":2920},[114],{"categories":2922},[47],{"categories":2924},[47],{"categories":2926},[],{"categories":2928},[139],{"categories":2930},[139],{"categories":2932},[92],{"categories":2934},[47],{"categories":2936},[102],{"categories":2938},[47],{"categories":2940},[182],{"categories":2942},[],{"categories":2944},[1675],{"categories":2946},[47],{"categories":2948},[114],{"categories":2950},[47],{"categories":2952},[248],{"categories":2954},[248],{"categories":2956},[],{"categories":2958},[102],{"categories":2960},[47],{"categories":2962},[136],{"categories":2964},[136],{"categories":2966},[47],{"categories":2968},[102],{"categories":2970},[],{"categories":2972},[182],{"categories":2974},[47],{"categories":2976},[47],{"categories":2978},[],{"categories":2980},[47],{"categories":2982},[102],{"categories":2984},[47],{"categories":2986},[47],{"categories":2988},[],{"categories":2990},[114],{"categories":2992},[47],{"categories":2994},[114],{"categories":2996},[248],{"categories":2998},[47],{"categories":3000},[47],{"categories":3002},[114],{"categories":3004},[97],{"categories":3006},[47],{"categories":3008},[1675],{"categories":3010},[],{"categories":3012},[102],{"categories":3014},[92],{"categories":3016},[47],{"categories":3018},[92],{"categories":3020},[47],{"categories":3022},[],{"categories":3024},[102],{"categories":3026},[47],{"categories":3028},[3029],"AI Design Tooling",{"categories":3031},[182],{"categories":3033},[47],{"categories":3035},[47],{"categories":3037},[114],{"categories":3039},[182],{"categories":3041},[47],{"categories":3043},[114],{"categories":3045},[136],{"categories":3047},[105],{"categories":3049},[114],{"categories":3051},[47],{"categories":3053},[47],{"categories":3055},[102],{"categories":3057},[47],{"categories":3059},[],{"categories":3061},[47],{"categories":3063},[47],{"categories":3065},[102],{"categories":3067},[47],{"categories":3069},[47],{"categories":3071},[47],{"categories":3073},[102],{"categories":3075},[],{"categories":3077},[102],{"categories":3079},[2914],{"categories":3081},[47],{"categories":3083},[47],{"categories":3085},[102],{"categories":3087},[102],{"categories":3089},[114],{"categories":3091},[114],{"categories":3093},[],{"categories":3095},[114],{"categories":3097},[47],{"categories":3099},[47],{"categories":3101},[102],{"categories":3103},[97],{"categories":3105},[47],{"categories":3107},[],{"categories":3109},[47],{"categories":3111},[47],{"categories":3113},[2076],{"categories":3115},[],{"categories":3117},[47],{"categories":3119},[47],{"categories":3121},[47],{"categories":3123},[47],{"categories":3125},[182],{"categories":3127},[47],{"categories":3129},[],{"categories":3131},[47],{"categories":3133},[47],{"categories":3135},[47],{"categories":3137},[211],{"categories":3139},[136],{"categories":3141},[47],{"categories":3143},[47],{"categories":3145},[1675],{"categories":3147},[92],{"categories":3149},[47],{"categories":3151},[47],{"categories":3153},[139],{"categories":3155},[47],{"categories":3157},[47],{"categories":3159},[136],{"categories":3161},[102],{"categories":3163},[],{"categories":3165},[47],{"categories":3167},[47],{"categories":3169},[182],{"categories":3171},[47],{"categories":3173},[211],{"categories":3175},[102],{"categories":3177},[47],{"categories":3179},[102],{"categories":3181},[],{"categories":3183},[],{"categories":3185},[],{"categories":3187},[92],{"categories":3189},[136],{"categories":3191},[102],{"categories":3193},[47],{"categories":3195},[47],{"categories":3197},[47],{"categories":3199},[47],{"categories":3201},[363],{"categories":3203},[182],{"categories":3205},[102],{"categories":3207},[47],{"categories":3209},[],{"categories":3211},[102],{"categories":3213},[102],{"categories":3215},[],{"categories":3217},[47],{"categories":3219},[102],{"categories":3221},[47],{"categories":3223},[],{"categories":3225},[47],{"categories":3227},[47],{"categories":3229},[136],{"categories":3231},[182],{"categories":3233},[102],{"categories":3235},[182],{"categories":3237},[102],{"categories":3239},[47],{"categories":3241},[97],{"categories":3243},[],{"categories":3245},[],{"categories":3247},[47],{"categories":3249},[47],{"categories":3251},[92],{"categories":3253},[102],{"categories":3255},[136],{"categories":3257},[],{"categories":3259},[182],{"categories":3261},[],{"categories":3263},[114],{"categories":3265},[47],{"categories":3267},[114],{"categories":3269},[182],{"categories":3271},[114],{"categories":3273},[47],{"categories":3275},[],{"categories":3277},[47],{"categories":3279},[47],{"categories":3281},[],{"categories":3283},[47],{"categories":3285},[211],{"categories":3287},[47],{"categories":3289},[248],{"categories":3291},[114],{"categories":3293},[47],{"categories":3295},[],{"categories":3297},[102],{"categories":3299},[47],{"categories":3301},[92],{"categories":3303},[474],{"categories":3305},[47],{"categories":3307},[102],{"categories":3309},[47],{"categories":3311},[102],{"categories":3313},[47],{"categories":3315},[47],{"categories":3317},[47],{"categories":3319},[],{"categories":3321},[47],{"categories":3323},[92],{"categories":3325},[47],{"categories":3327},[97],{"categories":3329},[114],{"categories":3331},[182],{"categories":3333},[],{"categories":3335},[47],{"categories":3337},[],{"categories":3339},[],{"categories":3341},[102],{"categories":3343},[47],{"categories":3345},[114],{"categories":3347},[182],{"categories":3349},[136],{"categories":3351},[47],{"categories":3353},[136],{"categories":3355},[102],{"categories":3357},[182],{"categories":3359},[47],{"categories":3361},[],{"categories":3363},[47],{"categories":3365},[125],{"categories":3367},[102],{"categories":3369},[182],{"categories":3371},[136],{"categories":3373},[97],{"categories":3375},[114],{"categories":3377},[47],{"categories":3379},[47],{"categories":3381},[136],{"categories":3383},[211],{"categories":3385},[],{"categories":3387},[],{"categories":3389},[139],{"categories":3391},[419],{"categories":3393},[47],{"categories":3395},[102],{"categories":3397},[47,114],{"categories":3399},[136],{"categories":3401},[47],{"categories":3403},[47],{"categories":3405},[47],{"categories":3407},[47],{"categories":3409},[102],{"categories":3411},[47],{"categories":3413},[102],{"categories":3415},[47],{"categories":3417},[47],{"categories":3419},[47],{"categories":3421},[],{"categories":3423},[47],{"categories":3425},[1145],{"categories":3427},[114],{"categories":3429},[182],{"categories":3431},[47],{"categories":3433},[47],{"categories":3435},[47],{"categories":3437},[139],{"categories":3439},[102],{"categories":3441},[211],{"categories":3443},[248],{"categories":3445},[],{"categories":3447},[47],{"categories":3449},[97],{"categories":3451},[102],{"categories":3453},[92],{"categories":3455},[102],{"categories":3457},[47],{"categories":3459},[102],{"categories":3461},[102],{"categories":3463},[105],{"categories":3465},[114],{"categories":3467},[47],{"categories":3469},[47],{"categories":3471},[],{"categories":3473},[],{"categories":3475},[],{"categories":3477},[248],{"categories":3479},[47],{"categories":3481},[136],{"categories":3483},[47],{"categories":3485},[47],{"categories":3487},[47],{"categories":3489},[47],{"categories":3491},[],{"categories":3493},[47],{"categories":3495},[139],{"categories":3497},[97],{"categories":3499},[102],{"categories":3501},[47],{"categories":3503},[],{"categories":3505},[47],{"categories":3507},[102],{"categories":3509},[47],{"categories":3511},[248],{"categories":3513},[],{"categories":3515},[182],{"categories":3517},[182],{"categories":3519},[],{"categories":3521},[114],{"categories":3523},[47],{"categories":3525},[182],{"categories":3527},[47],{"categories":3529},[97],{"categories":3531},[102],{"categories":3533},[47],{"categories":3535},[],{"categories":3537},[136],{"categories":3539},[47],{"categories":3541},[47],{"categories":3543},[47],{"categories":3545},[182],{"categories":3547},[102],{"categories":3549},[136],{"categories":3551},[],{"categories":3553},[102],{"categories":3555},[97],{"categories":3557},[102],{"categories":3559},[182],{"categories":3561},[47],{"categories":3563},[47],{"categories":3565},[47],{"categories":3567},[419],{"categories":3569},[47],{"categories":3571},[],{"categories":3573},[47],{"categories":3575},[47],{"categories":3577},[248],{"categories":3579},[136],{"categories":3581},[139],{"categories":3583},[510],{"categories":3585},[139],{"categories":3587},[47],{"categories":3589},[],{"categories":3591},[],{"categories":3593},[],{"categories":3595},[102],{"categories":3597},[102],{"categories":3599},[114],{"categories":3601},[47],{"categories":3603},[396],{"categories":3605},[114],{"categories":3607},[47],{"categories":3609},[47],{"categories":3611},[47],{"categories":3613},[47],{"categories":3615},[102],{"categories":3617},[],{"categories":3619},[],{"categories":3621},[47],{"categories":3623},[],{"categories":3625},[47],{"categories":3627},[102],{"categories":3629},[182],{"categories":3631},[47],{"categories":3633},[47],{"categories":3635},[],{"categories":3637},[102],{"categories":3639},[105],{"categories":3641},[47],{"categories":3643},[182],{"categories":3645},[47],{"categories":3647},[102],{"categories":3649},[97],{"categories":3651},[47],{"categories":3653},[211],{"categories":3655},[102],{"categories":3657},[47],{"categories":3659},[47],{"categories":3661},[810],{"categories":3663},[47],{"categories":3665},[102],{"categories":3667},[47],{"categories":3669},[114],{"categories":3671},[47],{"categories":3673},[474],{"categories":3675},[182],{"categories":3677},[],{"categories":3679},[47],{"categories":3681},[136],{"categories":3683},[419],{"categories":3685},[102],{"categories":3687},[47],{"categories":3689},[],{"categories":3691},[136],{"categories":3693},[340],{"categories":3695},[102],{"categories":3697},[102],{"categories":3699},[102],{"categories":3701},[47],{"categories":3703},[47],{"categories":3705},[102],{"categories":3707},[],{"categories":3709},[97],{"categories":3711},[47],{"categories":3713},[97],{"categories":3715},[102],{"categories":3717},[],{"categories":3719},[114],{"categories":3721},[47],{"categories":3723},[47],{"categories":3725},[92],{"categories":3727},[136],{"categories":3729},[248],{"categories":3731},[125],{"categories":3733},[102],{"categories":3735},[102],{"categories":3737},[47],{"categories":3739},[102],{"categories":3741},[47],{"categories":3743},[92],{"categories":3745},[],{"categories":3747},[47],{"categories":3749},[47],{"categories":3751},[47],{"categories":3753},[102],{"categories":3755},[47],{"categories":3757},[],{"categories":3759},[],{"categories":3761},[182],{"categories":3763},[102],{"categories":3765},[47,97],{"categories":3767},[102],{"categories":3769},[47],{"categories":3771},[],{"categories":3773},[92],{"categories":3775},[139],{"categories":3777},[97],{"categories":3779},[47],{"categories":3781},[114],{"categories":3783},[47],{"categories":3785},[47],{"categories":3787},[102],{"categories":3789},[47],{"categories":3791},[47],{"categories":3793},[47],{"categories":3795},[136],{"categories":3797},[1145],{"categories":3799},[102],{"categories":3801},[47],{"categories":3803},[],{"categories":3805},[],{"categories":3807},[47],{"categories":3809},[102],{"categories":3811},[47],{"categories":3813},[47],{"categories":3815},[248],{"categories":3817},[],{"categories":3819},[47],{"categories":3821},[102],{"categories":3823},[125],{"categories":3825},[102],{"categories":3827},[419],{"categories":3829},[],{"categories":3831},[363],{"categories":3833},[102],{"categories":3835},[47],{"categories":3837},[211],{"categories":3839},[102],{"categories":3841},[47],{"categories":3843},[139],{"categories":3845},[105],{"categories":3847},[102],{"categories":3849},[47],{"categories":3851},[419],{"categories":3853},[47],{"categories":3855},[248],{"categories":3857},[],{"categories":3859},[47],{"categories":3861},[211],{"categories":3863},[182],{"categories":3865},[47],{"categories":3867},[47],{"categories":3869},[47],{"categories":3871},[],{"categories":3873},[211],{"categories":3875},[136],{"categories":3877},[47],{"categories":3879},[47],{"categories":3881},[47],{"categories":3883},[510],{"categories":3885},[92],{"categories":3887},[47],{"categories":3889},[47],{"categories":3891},[],{"categories":3893},[],{"categories":3895},[182],{"categories":3897},[47],{"categories":3899},[139],{"categories":3901},[211],{"categories":3903},[102],{"categories":3905},[47],{"categories":3907},[47],{"categories":3909},[211],{"categories":3911},[136],{"categories":3913},[],{"categories":3915},[47],{"categories":3917},[47],{"categories":3919},[],{"categories":3921},[47],{"categories":3923},[47],{"categories":3925},[535],{"categories":3927},[47],{"categories":3929},[47],{"categories":3931},[102],{"categories":3933},[114],{"categories":3935},[419],{"categories":3937},[47],{"categories":3939},[47],{"categories":3941},[47],{"categories":3943},[],{"categories":3945},[47,114],{"categories":3947},[136],{"categories":3949},[102],{"categories":3951},[114],{"categories":3953},[102],{"categories":3955},[846],{"categories":3957},[114],{"categories":3959},[102],{"categories":3961},[47],{"categories":3963},[92],{"categories":3965},[],{"categories":3967},[],{"categories":3969},[102],{"categories":3971},[47],{"categories":3973},[114],{"categories":3975},[47],{"categories":3977},[92],{"categories":3979},[114],{"categories":3981},[114],{"categories":3983},[47],{"categories":3985},[211],{"categories":3987},[47],{"categories":3989},[114],{"categories":3991},[47],{"categories":3993},[],{"categories":3995},[47],{"categories":3997},[182,47],{"categories":3999},[248],{"categories":4001},[92],{"categories":4003},[47],{"categories":4005},[],{"categories":4007},[47],{"categories":4009},[47],{"categories":4011},[97],{"categories":4013},[47],{"categories":4015},[97],{"categories":4017},[47],{"categories":4019},[47],{"categories":4021},[340],{"categories":4023},[47],{"categories":4025},[97],{"categories":4027},[114],{"categories":4029},[139],{"categories":4031},[102],{"categories":4033},[114],{"categories":4035},[47],{"categories":4037},[47],{"categories":4039},[136],{"categories":4041},[211],{"categories":4043},[182],{"categories":4045},[47],{"categories":4047},[47],{"categories":4049},[47],{"categories":4051},[47],{"categories":4053},[92],{"categories":4055},[47],{"categories":4057},[102],{"categories":4059},[102],{"categories":4061},[114],{"categories":4063},[136],{"categories":4065},[114],{"categories":4067},[114],{"categories":4069},[47],{"categories":4071},[47],{"categories":4073},[],{"categories":4075},[],{"categories":4077},[139],{"categories":4079},[47],{"categories":4081},[114],{"categories":4083},[47],{"categories":4085},[182],{"categories":4087},[419],{"categories":4089},[363],{"categories":4091},[340],{"categories":4093},[47],{"categories":4095},[47],{"categories":4097},[47],{"categories":4099},[139],{"categories":4101},[47],{"categories":4103},[47],{"categories":4105},[47],{"categories":4107},[47],{"categories":4109},[47],{"categories":4111},[47],{"categories":4113},[102],{"categories":4115},[92],{"categories":4117},[102],{"categories":4119},[47,97],{"categories":4121},[],{"categories":4123},[182],{"categories":4125},[],{"categories":4127},[105],{"categories":4129},[47],{"categories":4131},[136],{"categories":4133},[92],{"categories":4135},[47],{"categories":4137},[92],{"categories":4139},[102],{"categories":4141},[139],{"categories":4143},[102],{"categories":4145},[102],{"categories":4147},[47],{"categories":4149},[47],{"categories":4151},[97],{"categories":4153},[102],{"categories":4155},[114],{"categories":4157},[211],{"categories":4159},[47],{"categories":4161},[],{"categories":4163},[136],{"categories":4165},[47],{"categories":4167},[47],{"categories":4169},[47],{"categories":4171},[47],{"categories":4173},[47],{"categories":4175},[47],{"categories":4177},[114],{"categories":4179},[136],{"categories":4181},[114],{"categories":4183},[114],{"categories":4185},[47],{"categories":4187},[47],{"categories":4189},[47],{"categories":4191},[363],{"categories":4193},[47],{"categories":4195},[102],{"categories":4197},[136],{"categories":4199},[47],{"categories":4201},[47],{"categories":4203},[47],{"categories":4205},[102],{"categories":4207},[47],{"categories":4209},[47],{"categories":4211},[47],{"categories":4213},[2914],{"categories":4215},[4216],"Clinical AI",{"categories":4218},[182],{"categories":4220},[47],{"categories":4222},[47],{"categories":4224},[47],{"categories":4226},[248],{"categories":4228},[2313],{"categories":4230},[47],{"categories":4232},[105],{"categories":4234},[47],{"categories":4236},[102],{"categories":4238},[47],{"categories":4240},[47],{"categories":4242},[136],{"categories":4244},[47],{"categories":4246},[102],{"categories":4248},[114],{"categories":4250},[211],{"categories":4252},[47],{"categories":4254},[47],{"categories":4256},[97],{"categories":4258},[47],{"categories":4260},[47],{"categories":4262},[474],{"categories":4264},[47],{"categories":4266},[],{"categories":4268},[47],{"categories":4270},[114],{"categories":4272},[92],{"categories":4274},[47],{"categories":4276},[],{"categories":4278},[],{"categories":4280},[47],{"categories":4282},[],{"categories":4284},[97],{"categories":4286},[47],{"categories":4288},[47],{"categories":4290},[102],{"categories":4292},[136],{"categories":4294},[136],{"categories":4296},[136],{"categories":4298},[136],{"categories":4300},[],{"categories":4302},[92],{"categories":4304},[102],{"categories":4306},[136],{"categories":4308},[47],{"categories":4310},[535],{"categories":4312},[105],{"categories":4314},[47],{"categories":4316},[92],{"categories":4318},[47],{"categories":4320},[102],{"categories":4322},[47],{"categories":4324},[47],{"categories":4326},[47,102],{"categories":4328},[102],{"categories":4330},[248],{"categories":4332},[136],{"categories":4334},[102],{"categories":4336},[136],{"categories":4338},[102],{"categories":4340},[47],{"categories":4342},[],{"categories":4344},[136],{"categories":4346},[211],{"categories":4348},[92],{"categories":4350},[47],{"categories":4352},[47],{"categories":4354},[],{"categories":4356},[114],{"categories":4358},[],{"categories":4360},[92],{"categories":4362},[102],{"categories":4364},[136],{"categories":4366},[47],{"categories":4368},[136],{"categories":4370},[92],{"categories":4372},[136],{"categories":4374},[136],{"categories":4376},[],{"categories":4378},[97],{"categories":4380},[102],{"categories":4382},[136],{"categories":4384},[136],{"categories":4386},[136],{"categories":4388},[136],{"categories":4390},[136],{"categories":4392},[136],{"categories":4394},[136],{"categories":4396},[136],{"categories":4398},[136],{"categories":4400},[136],{"categories":4402},[139],{"categories":4404},[92],{"categories":4406},[47],{"categories":4408},[47],{"categories":4410},[102],{"categories":4412},[102],{"categories":4414},[],{"categories":4416},[47],{"categories":4418},[47,92],{"categories":4420},[],{"categories":4422},[102],{"categories":4424},[47],{"categories":4426},[136],{"categories":4428},[102],{"categories":4430},[846],{"categories":4432},[47],{"categories":4434},[47],{"categories":4436},[47],{"categories":4438},[47],{"categories":4440},[47],{"categories":4442},[340],{"categories":4444},[47],{"categories":4446},[47],{"categories":4448},[102],{"categories":4450},[47],{"categories":4452},[97],{"categories":4454},[105],{"categories":4456},[102],{"categories":4458},[102],{"categories":4460},[],{"categories":4462},[102],{"categories":4464},[182],{"categories":4466},[136],{"categories":4468},[47],{"categories":4470},[],{"categories":4472},[105],{"categories":4474},[],{"categories":4476},[114],{"categories":4478},[102],{"categories":4480},[182],{"categories":4482},[47],{"categories":4484},[],{"categories":4486},[47],{"categories":4488},[],{"categories":4490},[211],{"categories":4492},[47],{"categories":4494},[],{"categories":4496},[],{"categories":4498},[136],{"categories":4500},[92],{"categories":4502},[47],{"categories":4504},[47],{"categories":4506},[97],{"categories":4508},[47],{"categories":4510},[47],{"categories":4512},[47],{"categories":4514},[97],{"categories":4516},[97],{"categories":4518},[182],{"categories":4520},[],{"categories":4522},[47],{"categories":4524},[136],{"categories":4526},[],{"categories":4528},[47],{"categories":4530},[47],{"categories":4532},[182],{"categories":4534},[47],{"categories":4536},[211],{"categories":4538},[47],{"categories":4540},[248],{"categories":4542},[],{"categories":4544},[102],{"categories":4546},[211],{"categories":4548},[114],{"categories":4550},[],{"categories":4552},[47],{"categories":4554},[],{"categories":4556},[102],{"categories":4558},[182],{"categories":4560},[114],{"categories":4562},[],{"categories":4564},[2914],{"categories":4566},[97],{"categories":4568},[92],{"categories":4570},[47],{"categories":4572},[139],{"categories":4574},[102],{"categories":4576},[182],{"categories":4578},[114],{"categories":4580},[],{"categories":4582},[],{"categories":4584},[47],{"categories":4586},[92],{"categories":4588},[47],{"categories":4590},[211],{"categories":4592},[],{"categories":4594},[102],{"categories":4596},[102],{"categories":4598},[47],{"categories":4600},[102],{"categories":4602},[47],{"categories":4604},[136],{"categories":4606},[114],{"categories":4608},[47],{"categories":4610},[102],{"categories":4612},[105],{"categories":4614},[47],{"categories":4616},[47],{"categories":4618},[102],{"categories":4620},[47],{"categories":4622},[105],{"categories":4624},[211],{"categories":4626},[136],{"categories":4628},[],{"categories":4630},[211],{"categories":4632},[47],{"categories":4634},[],{"categories":4636},[114],{"categories":4638},[102],{"categories":4640},[],{"categories":4642},[47],{"categories":4644},[47],{"categories":4646},[47],{"categories":4648},[47],{"categories":4650},[47],{"categories":4652},[102],{"categories":4654},[97],{"categories":4656},[92],{"categories":4658},[47],{"categories":4660},[182],{"categories":4662},[114],{"categories":4664},[114],{"categories":4666},[47],{"categories":4668},[139],{"categories":4670},[102],{"categories":4672},[47],{"categories":4674},[47],{"categories":4676},[102],{"categories":4678},[47],{"categories":4680},[97],{"categories":4682},[182],{"categories":4684},[114],{"categories":4686},[102],{"categories":4688},[47],{"categories":4690},[105],{"categories":4692},[47],{"categories":4694},[102],{"categories":4696},[47],{"categories":4698},[47],{"categories":4700},[136],{"categories":4702},[47],{"categories":4704},[],{"categories":4706},[92],{"categories":4708},[47],{"categories":4710},[47],{"categories":4712},[47],{"categories":4714},[114],{"categories":4716},[114],{"categories":4718},[47],{"categories":4720},[114],{"categories":4722},[47],{"categories":4724},[102],{"categories":4726},[47],{"categories":4728},[47],{"categories":4730},[47],{"categories":4732},[47],{"categories":4734},[47],{"categories":4736},[],{"categories":4738},[47],{"categories":4740},[182],{"categories":4742},[97],{"categories":4744},[136],{"categories":4746},[47],{"categories":4748},[102],{"categories":4750},[47],{"categories":4752},[102],{"categories":4754},[47],{"categories":4756},[47],{"categories":4758},[182],{"categories":4760},[102],{"categories":4762},[47],{"categories":4764},[211],{"categories":4766},[47],{"categories":4768},[139],{"categories":4770},[47],{"categories":4772},[47],{"categories":4774},[136],{"categories":4776},[47],{"categories":4778},[47],{"categories":4780},[47],{"categories":4782},[47],{"categories":4784},[102],{"categories":4786},[248],{"categories":4788},[47],{"categories":4790},[114],{"categories":4792},[102],{"categories":4794},[139],{"categories":4796},[],{"categories":4798},[102],{"categories":4800},[114],{"categories":4802},[47],{"categories":4804},[47],{"categories":4806},[2159],{"categories":4808},[182],{"categories":4810},[277],{"categories":4812},[47],{"categories":4814},[47],{"categories":4816},[47],{"categories":4818},[47],{"categories":4820},[92],{"categories":4822},[47],{"categories":4824},[47],{"categories":4826},[114],{"categories":4828},[97],{"categories":4830},[114],{"categories":4832},[47],{"categories":4834},[],{"categories":4836},[102],{"categories":4838},[102],{"categories":4840},[47],{"categories":4842},[47],{"categories":4844},[139],{"categories":4846},[],{"categories":4848},[136],{"categories":4850},[],{"categories":4852},[136],{"categories":4854},[47],{"categories":4856},[47],{"categories":4858},[102],{"categories":4860},[47],{"categories":4862},[102],{"categories":4864},[102],{"categories":4866},[],{"categories":4868},[136],{"categories":4870},[47],{"categories":4872},[],{"categories":4874},[47],{"categories":4876},[47],{"categories":4878},[],{"categories":4880},[47],{"categories":4882},[182],{"categories":4884},[114],{"categories":4886},[102],{"categories":4888},[47],{"categories":4890},[47],{"categories":4892},[47],{"categories":4894},[211],{"categories":4896},[47],{"categories":4898},[47],{"categories":4900},[47],{"categories":4902},[92],{"categories":4904},[47],{"categories":4906},[47],{"categories":4908},[],{"categories":4910},[47],{"categories":4912},[47],{"categories":4914},[],{"categories":4916},[92],{"categories":4918},[47],{"categories":4920},[136],{"categories":4922},[114],{"categories":4924},[105],{"categories":4926},[419],{"categories":4928},[47],{"categories":4930},[47],{"categories":4932},[47],{"categories":4934},[114],{"categories":4936},[136],{"categories":4938},[182],{"categories":4940},[47],{"categories":4942},[47],{"categories":4944},[47],{"categories":4946},[47],{"categories":4948},[136],{"categories":4950},[182],{"categories":4952},[47],{"categories":4954},[47],{"categories":4956},[136],{"categories":4958},[182],{"categories":4960},[47],{"categories":4962},[136],{"categories":4964},[47],{"categories":4966},[102],{"categories":4968},[102],{"categories":4970},[102],{"categories":4972},[114],{"categories":4974},[136],{"categories":4976},[102],{"categories":4978},[102],{"categories":4980},[47],{"categories":4982},[114],{"categories":4984},[182],{"categories":4986},[47],{"categories":4988},[47],{"categories":4990},[47],{"categories":4992},[],{"categories":4994},[102],{"categories":4996},[],{"categories":4998},[47],{"categories":5000},[47],{"categories":5002},[],{"categories":5004},[],{"categories":5006},[102],{"categories":5008},[97],{"categories":5010},[102],{"categories":5012},[5013],"Liability & Ethics",{"categories":5015},[47],{"categories":5017},[47],{"categories":5019},[102],{"categories":5021},[92],{"categories":5023},[102],{"categories":5025},[97],{"categories":5027},[211],{"categories":5029},[102],{"categories":5031},[47],{"categories":5033},[47],{"categories":5035},[],{"categories":5037},[510],{"categories":5039},[102],{"categories":5041},[],{"categories":5043},[47],{"categories":5045},[92],{"categories":5047},[102],{"categories":5049},[],{"categories":5051},[102],{"categories":5053},[47],{"categories":5055},[47],{"categories":5057},[114],{"categories":5059},[47],{"categories":5061},[136],{"categories":5063},[47],{"categories":5065},[47],{"categories":5067},[102],{"categories":5069},[47],{"categories":5071},[47],{"categories":5073},[47],{"categories":5075},[136],{"categories":5077},[102],{"categories":5079},[114],{"categories":5081},[182],{"categories":5083},[92],{"categories":5085},[47],{"categories":5087},[47],{"categories":5089},[],{"categories":5091},[102],{"categories":5093},[102],{"categories":5095},[102],{"categories":5097},[419],{"categories":5099},[182],{"categories":5101},[102],{"categories":5103},[248],{"categories":5105},[114],{"categories":5107},[136],{"categories":5109},[47],{"categories":5111},[182],{"categories":5113},[47],{"categories":5115},[92],{"categories":5117},[],{"categories":5119},[102],{"categories":5121},[47],{"categories":5123},[47],{"categories":5125},[47],{"categories":5127},[102],{"categories":5129},[47],{"categories":5131},[182],{"categories":5133},[],{"categories":5135},[102],{"categories":5137},[105],{"categories":5139},[136],{"categories":5141},[102],{"categories":5143},[97],{"categories":5145},[],{"categories":5147},[47],{"categories":5149},[47],{"categories":5151},[105],{"categories":5153},[47],{"categories":5155},[102],{"categories":5157},[136],{"categories":5159},[92],{"categories":5161},[248],{"categories":5163},[47],{"categories":5165},[47],{"categories":5167},[47],{"categories":5169},[136],{"categories":5171},[97],{"categories":5173},[47],{"categories":5175},[182],{"categories":5177},[136],{"categories":5179},[248],{"categories":5181},[47],{"categories":5183},[102],{"categories":5185},[],{"categories":5187},[474],{"categories":5189},[],{"categories":5191},[47],{"categories":5193},[248],{"categories":5195},[47],{"categories":5197},[139],{"categories":5199},[102],{"categories":5201},[102],{"categories":5203},[5204],"Design News & Tools",{"categories":5206},[47],{"categories":5208},[136],{"categories":5210},[47],{"categories":5212},[47],{"categories":5214},[92],{"categories":5216},[47],{"categories":5218},[182],{"categories":5220},[102],{"categories":5222},[102],{"categories":5224},[182],{"categories":5226},[47],{"categories":5228},[419],{"categories":5230},[102],{"categories":5232},[47],{"categories":5234},[47],{"categories":5236},[419],{"categories":5238},[47],{"categories":5240},[211],{"categories":5242},[47],{"categories":5244},[102],{"categories":5246},[],{"categories":5248},[47],{"categories":5250},[47],{"categories":5252},[47],{"categories":5254},[136],{"categories":5256},[92],{"categories":5258},[],{"categories":5260},[47],{"categories":5262},[47],{"categories":5264},[47],{"categories":5266},[114],{"categories":5268},[535],{"categories":5270},[114],{"categories":5272},[182],{"categories":5274},[47],{"categories":5276},[47,102],{"categories":5278},[211,97],{"categories":5280},[114],{"categories":5282},[47],{"categories":5284},[47],{"categories":5286},[47],{"categories":5288},[47],{"categories":5290},[],{"categories":5292},[102],{"categories":5294},[47],{"categories":5296},[],{"categories":5298},[47],{"categories":5300},[114],{"categories":5302},[47],{"categories":5304},[114],{"categories":5306},[],{"categories":5308},[102],{"categories":5310},[47],{"categories":5312},[97],{"categories":5314},[47],{"categories":5316},[136],{"categories":5318},[47],{"categories":5320},[],{"categories":5322},[102],{"categories":5324},[47],{"categories":5326},[],{"categories":5328},[182],{"categories":5330},[47],{"categories":5332},[47],{"categories":5334},[102],{"categories":5336},[47],{"categories":5338},[47],{"categories":5340},[92],{"categories":5342},[102],{"categories":5344},[47],{"categories":5346},[],{"categories":5348},[248],{"categories":5350},[211],{"categories":5352},[97],{"categories":5354},[97],{"categories":5356},[47],{"categories":5358},[92],{"categories":5360},[92],{"categories":5362},[47],{"categories":5364},[102],{"categories":5366},[47],{"categories":5368},[47],{"categories":5370},[47],{"categories":5372},[47],{"categories":5374},[114],{"categories":5376},[47],{"categories":5378},[92],{"categories":5380},[47],{"categories":5382},[102],{"categories":5384},[47],{"categories":5386},[211],{"categories":5388},[47],{"categories":5390},[136],{"categories":5392},[47],{"categories":5394},[47],{"categories":5396},[102],{"categories":5398},[47],{"categories":5400},[102],{"categories":5402},[],{"categories":5404},[114],{"categories":5406},[],{"categories":5408},[114],{"categories":5410},[102],{"categories":5412},[92],{"categories":5414},[],{"categories":5416},[139],{"categories":5418},[248],{"categories":5420},[47],{"categories":5422},[114],{"categories":5424},[47],{"categories":5426},[],{"categories":5428},[136],{"categories":5430},[102],{"categories":5432},[114],{"categories":5434},[182],{"categories":5436},[47],{"categories":5438},[47],{"categories":5440},[102],{"categories":5442},[114],{"categories":5444},[102],{"categories":5446},[136],{"categories":5448},[47],{"categories":5450},[105],{"categories":5452},[92],{"categories":5454},[105],{"categories":5456},[136],{"categories":5458},[47],{"categories":5460},[114],{"categories":5462},[47],{"categories":5464},[182],{"categories":5466},[97],{"categories":5468},[47],{"categories":5470},[47],{"categories":5472},[47],{"categories":5474},[47],{"categories":5476},[47],{"categories":5478},[47],{"categories":5480},[102],{"categories":5482},[47],{"categories":5484},[102],{"categories":5486},[47],{"categories":5488},[47],{"categories":5490},[92],{"categories":5492},[47],{"categories":5494},[102],{"categories":5496},[102],{"categories":5498},[182],{"categories":5500},[102],{"categories":5502},[102],{"categories":5504},[92],{"categories":5506},[102],{"categories":5508},[182],{"categories":5510},[],{"categories":5512},[47],{"categories":5514},[139],{"categories":5516},[419],{"categories":5518},[47],{"categories":5520},[47],{"categories":5522},[47],{"categories":5524},[114],{"categories":5526},[47],{"categories":5528},[],{"categories":5530},[47],{"categories":5532},[102],{"categories":5534},[47],{"categories":5536},[211],{"categories":5538},[47],{"categories":5540},[136],{"categories":5542},[102],{"categories":5544},[47],{"categories":5546},[211],{"categories":5548},[102],{"categories":5550},[97],{"categories":5552},[97],{"categories":5554},[47],{"categories":5556},[47],{"categories":5558},[47],{"categories":5560},[47],{"categories":5562},[47],{"categories":5564},[92],{"categories":5566},[],{"categories":5568},[47],{"categories":5570},[47],{"categories":5572},[102],{"categories":5574},[102],{"categories":5576},[47],{"categories":5578},[47],{"categories":5580},[47],{"categories":5582},[114],{"categories":5584},[],{"categories":5586},[92],{"categories":5588},[47],{"categories":5590},[47],{"categories":5592},[102],{"categories":5594},[102],{"categories":5596},[],{"categories":5598},[114],{"categories":5600},[114],{"categories":5602},[47],{"categories":5604},[211],{"categories":5606},[97],{"categories":5608},[182],{"categories":5610},[],{"categories":5612},[47],{"categories":5614},[102],{"categories":5616},[92],{"categories":5618},[47],{"categories":5620},[47],{"categories":5622},[114],{"categories":5624},[92],{"categories":5626},[47],{"categories":5628},[47],{"categories":5630},[136],{"categories":5632},[139],{"categories":5634},[136],{"categories":5636},[102],{"categories":5638},[47],{"categories":5640},[],{"categories":5642},[136],{"categories":5644},[102],{"categories":5646},[182],{"categories":5648},[139],{"categories":5650},[47],{"categories":5652},[47],{"categories":5654},[],{"categories":5656},[102],{"categories":5658},[102],{"categories":5660},[102],{"categories":5662},[2914],{"categories":5664},[136],{"categories":5666},[47],{"categories":5668},[114],{"categories":5670},[47],{"categories":5672},[47],{"categories":5674},[47],{"categories":5676},[47],{"categories":5678},[97],{"categories":5680},[47],{"categories":5682},[92],{"categories":5684},[1675],{"categories":5686},[248],{"categories":5688},[92],{"categories":5690},[],{"categories":5692},[47],{"categories":5694},[],{"categories":5696},[136],{"categories":5698},[102],{"categories":5700},[182],{"categories":5702},[47],{"categories":5704},[47],{"categories":5706},[136],{"categories":5708},[],{"categories":5710},[102],{"categories":5712},[102],{"categories":5714},[102],{"categories":5716},[],{"categories":5718},[47],{"categories":5720},[],{"categories":5722},[136],{"categories":5724},[92],{"categories":5726},[182],{"categories":5728},[47],{"categories":5730},[102],{"categories":5732},[136],{"categories":5734},[47],{"categories":5736},[136],{"categories":5738},[],{"categories":5740},[136],{"categories":5742},[92],{"categories":5744},[419],{"categories":5746},[102],{"categories":5748},[47],{"categories":5750},[],{"categories":5752},[114],{"categories":5754},[102],{"categories":5756},[105],{"categories":5758},[102],{"categories":5760},[92],{"categories":5762},[],{"categories":5764},[],{"categories":5766},[],{"categories":5768},[182],{"categories":5770},[102],{"categories":5772},[47],{"categories":5774},[47],{"categories":5776},[],{"categories":5778},[],{"categories":5780},[],{"categories":5782},[47],{"categories":5784},[182],{"categories":5786},[47],{"categories":5788},[],{"categories":5790},[102],{"categories":5792},[47],{"categories":5794},[47],{"categories":5796},[92],{"categories":5798},[],{"categories":5800},[],{"categories":5802},[47],{"categories":5804},[182],{"categories":5806},[47],{"categories":5808},[136],{"categories":5810},[],{"categories":5812},[47],{"categories":5814},[211],{"categories":5816},[136],{"categories":5818},[211],{"categories":5820},[139],{"categories":5822},[47],{"categories":5824},[47],{"categories":5826},[],{"categories":5828},[],{"categories":5830},[102],{"categories":5832},[],{"categories":5834},[47],{"categories":5836},[419],{"categories":5838},[47],{"categories":5840},[47],{"categories":5842},[47],{"categories":5844},[47],{"categories":5846},[],{"categories":5848},[102],{"categories":5850},[47],{"categories":5852},[47],{"categories":5854},[],{"categories":5856},[102],{"categories":5858},[47],{"categories":5860},[136],{"categories":5862},[47],{"categories":5864},[211],{"categories":5866},[97],{"categories":5868},[47],{"categories":5870},[47],{"categories":5872},[102],{"categories":5874},[139],{"categories":5876},[102],{"categories":5878},[102],{"categories":5880},[],{"categories":5882},[102],{"categories":5884},[],{"categories":5886},[47],{"categories":5888},[],{"categories":5890},[136],{"categories":5892},[97],{"categories":5894},[],{"categories":5896},[47],{"categories":5898},[47],{"categories":5900},[],{"categories":5902},[182],{"categories":5904},[92],{"categories":5906},[],{"categories":5908},[97],{"categories":5910},[211],{"categories":5912},[47],{"categories":5914},[114],{"categories":5916},[92],{"categories":5918},[139],{"categories":5920},[97],{"categories":5922},[114],{"categories":5924},[102],{"categories":5926},[114],{"categories":5928},[],{"categories":5930},[47],{"categories":5932},[105],{"categories":5934},[47],{"categories":5936},[],{"categories":5938},[102],{"categories":5940},[92],{"categories":5942},[182],{"categories":5944},[47],{"categories":5946},[92],{"categories":5948},[102],{"categories":5950},[248],{"categories":5952},[47],{"categories":5954},[47],{"categories":5956},[47],{"categories":5958},[92],{"categories":5960},[139],{"categories":5962},[102],{"categories":5964},[],{"categories":5966},[47],{"categories":5968},[47],{"categories":5970},[47],{"categories":5972},[114],{"categories":5974},[102],{"categories":5976},[136],{"categories":5978},[114],{"categories":5980},[47],{"categories":5982},[105],{"categories":5984},[],{"categories":5986},[182],{"categories":5988},[114],{"categories":5990},[136],{"categories":5992},[92],{"categories":5994},[102],{"categories":5996},[47],{"categories":5998},[47],{"categories":6000},[102],{"categories":6002},[105],{"categories":6004},[47],{"categories":6006},[102],{"categories":6008},[47],{"categories":6010},[97],{"categories":6012},[102],{"categories":6014},[102,248],{"categories":6016},[47],{"categories":6018},[47],{"categories":6020},[102],{"categories":6022},[114],{"categories":6024},[47],{"categories":6026},[47],{"categories":6028},[139],{"categories":6030},[102],{"categories":6032},[211],{"categories":6034},[102],{"categories":6036},[97],{"categories":6038},[],{"categories":6040},[102],{"categories":6042},[47],{"categories":6044},[97],{"categories":6046},[],{"categories":6048},[],{"categories":6050},[114],{"categories":6052},[47],{"categories":6054},[47],{"categories":6056},[102],{"categories":6058},[139],{"categories":6060},[211],{"categories":6062},[47],{"categories":6064},[47],{"categories":6066},[102],{"categories":6068},[],{"categories":6070},[102],{"categories":6072},[136],{"categories":6074},[102],{"categories":6076},[47],{"categories":6078},[],{"categories":6080},[136],{"categories":6082},[114],{"categories":6084},[2914],{"categories":6086},[92],{"categories":6088},[114],{"categories":6090},[47],{"categories":6092},[102],{"categories":6094},[47],{"categories":6096},[47],{"categories":6098},[211],{"categories":6100},[114],{"categories":6102},[],{"categories":6104},[136],{"categories":6106},[47],{"categories":6108},[],{"categories":6110},[102],{"categories":6112},[47],{"categories":6114},[47],{"categories":6116},[47],{"categories":6118},[47],{"categories":6120},[102],{"categories":6122},[47],{"categories":6124},[47],{"categories":6126},[105],{"categories":6128},[47],{"categories":6130},[102],{"categories":6132},[47],{"categories":6134},[47],{"categories":6136},[47],{"categories":6138},[47],{"categories":6140},[47],{"categories":6142},[47],{"categories":6144},[47],{"categories":6146},[97],{"categories":6148},[],{"categories":6150},[105],{"categories":6152},[136],{"categories":6154},[102],{"categories":6156},[47],{"categories":6158},[114],{"categories":6160},[],{"categories":6162},[114],{"categories":6164},[114],{"categories":6166},[102],{"categories":6168},[114],{"categories":6170},[47],{"categories":6172},[47],{"categories":6174},[47],{"categories":6176},[102],{"categories":6178},[114],{"categories":6180},[47],{"categories":6182},[47],{"categories":6184},[47],{"categories":6186},[102],{"categories":6188},[136],{"categories":6190},[47],{"categories":6192},[47],{"categories":6194},[47],{"categories":6196},[97],{"categories":6198},[47],{"categories":6200},[102],{"categories":6202},[182],{"categories":6204},[],{"categories":6206},[47],{"categories":6208},[139],{"categories":6210},[102],{"categories":6212},[47],{"categories":6214},[47],{"categories":6216},[],{"categories":6218},[47],{"categories":6220},[47],{"categories":6222},[136],{"categories":6224},[47],{"categories":6226},[47],{"categories":6228},[102],{"categories":6230},[211],{"categories":6232},[],{"categories":6234},[],{"categories":6236},[114],{"categories":6238},[47],{"categories":6240},[136],{"categories":6242},[47],{"categories":6244},[114],{"categories":6246},[136],{"categories":6248},[47],{"categories":6250},[211],{"categories":6252},[139],{"categories":6254},[47],{"categories":6256},[47],{"categories":6258},[92],{"categories":6260},[102],{"categories":6262},[47],{"categories":6264},[47],{"categories":6266},[102],{"categories":6268},[102],{"categories":6270},[47],{"categories":6272},[97],{"categories":6274},[],{"categories":6276},[139],{"categories":6278},[47],{"categories":6280},[],{"categories":6282},[136],{"categories":6284},[47],{"categories":6286},[139],{"categories":6288},[47],{"categories":6290},[114],{"categories":6292},[114],{"categories":6294},[114],{"categories":6296},[102],{"categories":6298},[102],{"categories":6300},[47],{"categories":6302},[102],{"categories":6304},[47],{"categories":6306},[47],{"categories":6308},[182],{"categories":6310},[139],{"categories":6312},[139],{"categories":6314},[],{"categories":6316},[136],{"categories":6318},[47],{"categories":6320},[47],{"categories":6322},[114],{"categories":6324},[],{"categories":6326},[136],{"categories":6328},[136],{"categories":6330},[136],{"categories":6332},[],{"categories":6334},[102],{"categories":6336},[47],{"categories":6338},[],{"categories":6340},[92],{"categories":6342},[97],{"categories":6344},[],{"categories":6346},[47],{"categories":6348},[47],{"categories":6350},[],{"categories":6352},[114],{"categories":6354},[],{"categories":6356},[],{"categories":6358},[],{"categories":6360},[],{"categories":6362},[47],{"categories":6364},[136],{"categories":6366},[],{"categories":6368},[],{"categories":6370},[47],{"categories":6372},[47],{"categories":6374},[47],{"categories":6376},[139],{"categories":6378},[47],{"categories":6380},[139],{"categories":6382},[],{"categories":6384},[139],{"categories":6386},[139],{"categories":6388},[248],{"categories":6390},[102],{"categories":6392},[114],{"categories":6394},[],{"categories":6396},[],{"categories":6398},[139],{"categories":6400},[114],{"categories":6402},[114],{"categories":6404},[114],{"categories":6406},[],{"categories":6408},[92],{"categories":6410},[114],{"categories":6412},[114],{"categories":6414},[92],{"categories":6416},[114],{"categories":6418},[97],{"categories":6420},[114],{"categories":6422},[114],{"categories":6424},[114],{"categories":6426},[139],{"categories":6428},[136],{"categories":6430},[136],{"categories":6432},[47],{"categories":6434},[114],{"categories":6436},[139],{"categories":6438},[248],{"categories":6440},[139],{"categories":6442},[139],{"categories":6444},[139],{"categories":6446},[],{"categories":6448},[97],{"categories":6450},[],{"categories":6452},[248],{"categories":6454},[114],{"categories":6456},[114],{"categories":6458},[114],{"categories":6460},[102],{"categories":6462},[136,97],{"categories":6464},[139],{"categories":6466},[],{"categories":6468},[],{"categories":6470},[139],{"categories":6472},[],{"categories":6474},[139],{"categories":6476},[136],{"categories":6478},[102],{"categories":6480},[],{"categories":6482},[114],{"categories":6484},[47],{"categories":6486},[182],{"categories":6488},[],{"categories":6490},[47],{"categories":6492},[],{"categories":6494},[136],{"categories":6496},[92],{"categories":6498},[139],{"categories":6500},[],{"categories":6502},[114],{"categories":6504},[136],[6506,6562,6645,6721],{"id":6507,"title":6508,"ai":6509,"body":6515,"categories":6543,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6544,"navigation":69,"path":6549,"published_at":6550,"question":48,"scraped_at":6551,"seo":6552,"sitemap":6553,"source_id":6554,"source_name":6555,"source_type":77,"source_url":6556,"stem":6557,"tags":6558,"thumbnail_url":48,"tldr":6559,"tweet":48,"unknown_tags":6560,"__hash__":6561},"summaries\u002Fsummaries\u002F6c1cdcac335f19f8-ai-amplifies-bad-data-fix-it-first-summary.md","AI Amplifies Bad Data—Fix It First",{"provider":7,"model":6510,"input_tokens":6511,"output_tokens":6512,"processing_time_ms":6513,"cost_usd":6514},"x-ai\u002Fgrok-4.1-fast",5216,1258,13939,0.0016497,{"type":14,"value":6516,"toc":6538},[6517,6521,6524,6528,6531,6535],[17,6518,6520],{"id":6519},"data-quality-drives-85-of-ai-failures","Data Quality Drives 85% of AI Failures",[22,6522,6523],{},"Organizations rushing into AI overlook that 77% report data quality as \"average at best\" (up from 66% last year), only 15% of large enterprise executives believe their data suffices for goals, 26% of enterprise data is \"dirty,\" 94% suspect inaccurate customer data, and 85% of AI projects fail due to poor data. No company lacks data quality issues. AI operationalizes these flaws: messy lending data leads to approving bad loans, duplicative sales data misprioritizes customers, and broken metrics optimize flawed processes. Trusting confident but wrong AI outputs industrializes bad decisions that stayed contained in traditional reports and dashboards.",[17,6525,6527],{"id":6526},"ais-semantic-processing-exposes-data-costs","AI's Semantic Processing Exposes Data Costs",[22,6529,6530],{},"Unlike cheap, deterministic SQL queries scanning 10,000 rows in milliseconds with near-zero marginal cost, AI uses GPU-heavy semantic search: it embeds data into vectors, performs matrix multiplications for inference, and synthesizes proactive insights like spotting outliers, seasonal spikes, or correlations without explicit queries. This makes AI 10x more energy-intensive per query, billing for cognition—tokens processed, context maintained, reasoning performed—scaling like tireless labor. Dirty data forces repeated heavy processing in evolving conversations, shifting economics from FinOps-style cost reduction (store, query, pay per run) to usage → output → value, where data quality determines real returns.",[17,6532,6534],{"id":6533},"reframe-ai-management-around-data-not-symptoms","Reframe AI Management Around Data, Not Symptoms",[22,6536,6537],{},"Fears of AI costs, skills gaps, and security mask root data problems; rising costs signal inefficient processing of messy data, variable outputs reveal inaccuracies, and slowed adoption ignores symptoms. Traditional IT models (cost → efficiency → reduction) fail for probabilistic, consumption-based AI fueled by imperfect data. Leaders must prioritize data cleaning to avoid AI confidently recommending actions like shutting profitable lines based on flawed inputs. AI acts as an unavoidable mirror: fix data to capture its value, or scale mistakes.",{"title":40,"searchDepth":41,"depth":41,"links":6539},[6540,6541,6542],{"id":6519,"depth":41,"text":6520},{"id":6526,"depth":41,"text":6527},{"id":6533,"depth":41,"text":6534},[],{"content_references":6545,"triage":6546},[],{"relevance":65,"novelty":66,"quality":65,"actionability":66,"composite":6547,"reasoning":6548},3.6,"Category: Data Science & Visualization. The article discusses the critical importance of data quality in AI implementations, addressing a specific pain point for product builders who need to ensure their data is clean before deploying AI solutions. It provides insights into the consequences of poor data but lacks detailed actionable steps for improving data quality.","\u002Fsummaries\u002F6c1cdcac335f19f8-ai-amplifies-bad-data-fix-it-first-summary","2026-04-20 16:23:11","2026-04-21 15:26:26",{"title":6508,"description":40},{"loc":6549},"6c1cdcac335f19f8","Data Driven Investor","https:\u002F\u002Fmedium.datadriveninvestor.com\u002Fdont-be-afraid-of-ai-be-terrified-of-your-data-97569858b42f?source=rss----32881626c9c9---4","summaries\u002F6c1cdcac335f19f8-ai-amplifies-bad-data-fix-it-first-summary",[81,83],"AI doesn't fix poor data quality; it scales the errors, leading to wrong decisions like approving bad loans or prioritizing wrong customers. 85% of AI failures stem from bad data, so clean data before adopting AI.",[83],"pXNZvNlaf4m9AWQ5hD6eh2a7NtGiLwpEY1JU9QQSt6c",{"id":6563,"title":6564,"ai":6565,"body":6570,"categories":6621,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6622,"navigation":69,"path":6633,"published_at":6634,"question":48,"scraped_at":6634,"seo":6635,"sitemap":6636,"source_id":6637,"source_name":6638,"source_type":77,"source_url":6627,"stem":6639,"tags":6640,"thumbnail_url":48,"tldr":6642,"tweet":48,"unknown_tags":6643,"__hash__":6644},"summaries\u002Fsummaries\u002F3c7eeecd852b6974-urbands-graph-guided-multi-agent-systems-for-urban-summary.md","UrbanDS: Graph-Guided Multi-Agent Systems for Urban Data",{"provider":7,"model":8,"input_tokens":6566,"output_tokens":6567,"processing_time_ms":6568,"cost_usd":6569},4028,575,3260,0.0018695,{"type":14,"value":6571,"toc":6616},[6572,6576,6579,6583,6586,6609,6613],[17,6573,6575],{"id":6574},"the-challenge-of-urban-data-complexity","The Challenge of Urban Data Complexity",[22,6577,6578],{},"Urban data tasks—such as city planning, traffic optimization, and resource allocation—are notoriously difficult for standard LLMs. These tasks require processing heterogeneous, large-scale, and spatially-dependent datasets that often exceed the context window or reasoning capabilities of a single model. UrbanDS addresses this by shifting from a monolithic prompt approach to a structured, multi-agent system guided by a graph-based knowledge framework.",[17,6580,6582],{"id":6581},"graph-guided-multi-agent-architecture","Graph-Guided Multi-Agent Architecture",[22,6584,6585],{},"UrbanDS utilizes a graph structure to represent the relationships between different urban entities and data sources. This graph acts as a roadmap for the multi-agent system, ensuring that agents do not operate in isolation but instead follow a logical, interconnected path of inquiry.",[6587,6588,6589,6597,6603],"ul",{},[6590,6591,6592,6596],"li",{},[6593,6594,6595],"strong",{},"Specialized Agents:"," The system decomposes complex urban queries into sub-tasks assigned to specialized agents (e.g., data retrieval agents, spatial analysis agents, and synthesis agents).",[6590,6598,6599,6602],{},[6593,6600,6601],{},"Graph-Guided Reasoning:"," By mapping the task onto a graph, the system enforces a structured workflow. This prevents the 'hallucination' common in open-ended reasoning by grounding agent interactions in the actual topology of the urban data environment.",[6590,6604,6605,6608],{},[6593,6606,6607],{},"Dynamic Coordination:"," The graph provides a state-tracking mechanism, allowing the system to maintain context across multiple steps of a data-intensive workflow, ensuring that the final output is consistent with the initial constraints of the urban environment.",[17,6610,6612],{"id":6611},"improving-reliability-in-data-intensive-tasks","Improving Reliability in Data-Intensive Tasks",[22,6614,6615],{},"By integrating graph-based guidance, UrbanDS significantly reduces the error rate in data retrieval and synthesis. The system demonstrates that when LLMs are constrained by a graph-based schema, they are better at navigating complex, multi-modal data environments. This approach is particularly effective for tasks requiring multi-step reasoning, where the output of one agent serves as the input for another, as the graph structure maintains the integrity of the data pipeline throughout the process.",{"title":40,"searchDepth":41,"depth":41,"links":6617},[6618,6619,6620],{"id":6574,"depth":41,"text":6575},{"id":6581,"depth":41,"text":6582},{"id":6611,"depth":41,"text":6612},[47],{"content_references":6623,"triage":6629},[6624],{"type":6625,"title":6626,"url":6627,"context":6628},"paper","UrbanDS: A Graph-Guided LLM Multi-Agent System for Data-Intensive Urban Tasks","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.26724","cited",{"relevance":6630,"novelty":65,"quality":65,"actionability":66,"composite":6631,"reasoning":6632},5,4.15,"Category: AI & LLMs. The article presents a novel approach to enhancing LLM performance in urban data tasks through a graph-guided multi-agent system, addressing a specific pain point of complex data processing. It offers insights into the architecture and functionality of the system, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F3c7eeecd852b6974-urbands-graph-guided-multi-agent-systems-for-urban-summary","2026-08-01 03:13:05",{"title":6564,"description":40},{"loc":6633},"3c7eeecd852b6974","arXiv cs.AI","summaries\u002F3c7eeecd852b6974-urbands-graph-guided-multi-agent-systems-for-urban-summary",[6641,81,83],"agents","UrbanDS improves LLM performance on complex urban data tasks by using a graph-guided multi-agent architecture that structures reasoning and data retrieval.",[83],"zHjrK_XILLN9zNhYzO_8GaqEGoxSrsoqaYVId8Tmco4",{"id":6646,"title":6647,"ai":6648,"body":6653,"categories":6701,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6702,"navigation":69,"path":6710,"published_at":6711,"question":48,"scraped_at":6711,"seo":6712,"sitemap":6713,"source_id":6714,"source_name":6638,"source_type":77,"source_url":6707,"stem":6715,"tags":6716,"thumbnail_url":48,"tldr":6718,"tweet":48,"unknown_tags":6719,"__hash__":6720},"summaries\u002Fsummaries\u002F2df1ad89ac53161a-unified-semantic-modeling-for-large-scale-job-unde-summary.md","Unified Semantic Modeling for Large-Scale Job Understanding",{"provider":7,"model":8,"input_tokens":6649,"output_tokens":6650,"processing_time_ms":6651,"cost_usd":6652},4008,611,4351,0.0019185,{"type":14,"value":6654,"toc":6696},[6655,6659,6662,6666,6669,6689,6693],[17,6656,6658],{"id":6657},"the-challenge-of-unstructured-job-data","The Challenge of Unstructured Job Data",[22,6660,6661],{},"Large-scale platforms like LinkedIn face significant friction in job matching due to the highly heterogeneous nature of job postings. Recruiters and companies use vastly different terminology, formatting, and structures to describe roles, making it difficult for traditional keyword-based search or simple classification models to accurately interpret intent, seniority, and skill requirements. The core problem is the lack of a standardized semantic layer that can bridge the gap between human-written text and structured database requirements.",[17,6663,6665],{"id":6664},"the-unified-semantic-framework","The Unified Semantic Framework",[22,6667,6668],{},"To solve this, the proposed framework implements a multi-stage semantic modeling approach. Instead of relying on rigid taxonomy matching, the system uses deep learning models to extract and normalize entities from raw text. This involves:",[6587,6670,6671,6677,6683],{},[6590,6672,6673,6676],{},[6593,6674,6675],{},"Semantic Normalization:"," Mapping varied job titles and skill descriptions into a canonical representation. This ensures that 'Software Engineer', 'Dev', and 'SWE' are treated as semantically equivalent within the system's latent space.",[6590,6678,6679,6682],{},[6593,6680,6681],{},"Hierarchical Understanding:"," The framework doesn't just look at keywords; it models the hierarchy of job functions, industries, and seniority levels. By embedding these relationships, the system can infer that a 'Senior Frontend Developer' is a subset of 'Software Engineering' while maintaining distinct requirements compared to a 'Backend' role.",[6590,6684,6685,6688],{},[6593,6686,6687],{},"Cross-Modal Alignment:"," The framework aligns job descriptions with user profiles, ensuring that the semantic understanding of a job posting is directly compatible with the semantic representation of a candidate's experience. This alignment is critical for high-precision recommendation engines.",[17,6690,6692],{"id":6691},"operational-impact-and-scalability","Operational Impact and Scalability",[22,6694,6695],{},"By moving to a unified semantic model, the system achieves two primary outcomes: improved search relevance and higher-quality candidate matching. Because the model is trained on massive, real-world datasets, it is resilient to the 'long tail' of niche job titles and emerging skill sets that typically break manual taxonomies. The framework effectively transforms unstructured text into a structured graph, allowing for complex queries that account for context, intent, and professional trajectory rather than just literal keyword matching.",{"title":40,"searchDepth":41,"depth":41,"links":6697},[6698,6699,6700],{"id":6657,"depth":41,"text":6658},{"id":6664,"depth":41,"text":6665},{"id":6691,"depth":41,"text":6692},[47],{"content_references":6703,"triage":6708},[6704],{"type":6625,"title":6705,"author":6706,"url":6707,"context":6628},"Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn","LinkedIn Engineering","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.24783",{"relevance":65,"novelty":66,"quality":65,"actionability":66,"composite":6547,"reasoning":6709},"Category: AI & LLMs. The article discusses a unified semantic modeling framework for job understanding, which directly addresses the challenge of interpreting unstructured job data, a relevant topic for AI product builders. It provides insights into a practical application of deep learning for improving job matching, though it lacks specific actionable steps for implementation.","\u002Fsummaries\u002F2df1ad89ac53161a-unified-semantic-modeling-for-large-scale-job-unde-summary","2026-07-30 03:13:55",{"title":6647,"description":40},{"loc":6710},"2df1ad89ac53161a","summaries\u002F2df1ad89ac53161a-unified-semantic-modeling-for-large-scale-job-unde-summary",[6717,81,83],"machine-learning","LinkedIn's framework addresses the challenge of large-scale job understanding by implementing a unified semantic model that maps diverse, unstructured job data into a standardized, machine-readable format.",[83],"N7QJ1qbZotac7xwsDduDIFE7QGR7eg_ap5xfLqFmYVM",{"id":6722,"title":6723,"ai":6724,"body":6729,"categories":6780,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6781,"navigation":69,"path":6795,"published_at":6796,"question":48,"scraped_at":6797,"seo":6798,"sitemap":6799,"source_id":6800,"source_name":76,"source_type":77,"source_url":6801,"stem":6802,"tags":6803,"thumbnail_url":48,"tldr":6805,"tweet":48,"unknown_tags":6806,"__hash__":6807},"summaries\u002Fsummaries\u002F458815182af123ca-the-surge-of-ai-powered-search-startups-summary.md","The Surge of AI-Powered Search Startups",{"provider":7,"model":8,"input_tokens":6725,"output_tokens":6726,"processing_time_ms":6727,"cost_usd":6728},5852,614,3353,0.002384,{"type":14,"value":6730,"toc":6775},[6731,6735,6738,6742,6745,6765,6769,6772],[17,6732,6734],{"id":6733},"the-shift-in-search-architecture","The Shift in Search Architecture",[22,6736,6737],{},"Traditional search is undergoing a fundamental transformation as AI-native discovery replaces legacy indexing models. This shift is driven by the realization that current search interfaces are inadequate for the capabilities of modern LLMs. While Google is actively re-engineering its core product to integrate AI, the market is seeing a surge of specialized startups attempting to capture this transition.",[17,6739,6741],{"id":6740},"the-competitive-landscape","The Competitive Landscape",[22,6743,6744],{},"Capital is flowing heavily into AI search, with significant valuations reflecting the high stakes of the market:",[6587,6746,6747,6753,6759],{},[6590,6748,6749,6752],{},[6593,6750,6751],{},"Exa Labs",": Recently raised $250 million at a $2.2 billion valuation.",[6590,6754,6755,6758],{},[6593,6756,6757],{},"Parallel Web Systems",": Led by former Twitter CEO Parag Agrawal, the company secured $100 million at a $2 billion valuation.",[6590,6760,6761,6764],{},[6593,6762,6763],{},"Market Entrants",": Other players like Tavily and TinyFish are also vying for market share.",[17,6766,6768],{"id":6767},"strategic-positioning-and-acquisition-potential","Strategic Positioning and Acquisition Potential",[22,6770,6771],{},"Startups in this space are positioning themselves against two primary forces: OpenAI’s ChatGPT, which currently dominates the interface layer for AI-powered queries, and Google, which faces the \"innovator's dilemma\" of protecting its legacy advertising business while pivoting to AI.",[22,6773,6774],{},"Beyond pure-play search startups, established platforms—including Amazon, LinkedIn, and Reddit—are integrating AI search features into their ecosystems. This creates a dual-path opportunity for startups: they can either compete directly for user traffic or serve as high-value acquisition targets for larger tech platforms looking to modernize their internal discovery capabilities.",{"title":40,"searchDepth":41,"depth":41,"links":6776},[6777,6778,6779],{"id":6733,"depth":41,"text":6734},{"id":6740,"depth":41,"text":6741},{"id":6767,"depth":41,"text":6768},[47],{"content_references":6782,"triage":6792},[6783,6788],{"type":6784,"title":6785,"publisher":6786,"url":6787,"context":57},"other","Google Search as you know it is over","TechCrunch","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F05\u002F19\u002Fgoogle-search-as-you-know-it-is-over\u002F",{"type":6784,"title":6789,"publisher":6790,"url":6791,"context":6628},"Andreessen-backed AI search startup Exa valued at $2.2 billion","Bloomberg","https:\u002F\u002Fwww.bloomberg.com\u002Fnews\u002Farticles\u002F2026-05-20\u002Fandreessen-backed-ai-search-startup-exa-valued-at-2-2-billion",{"relevance":66,"novelty":66,"quality":65,"actionability":41,"composite":6793,"reasoning":6794},3.05,"Category: AI & LLMs. The article discusses the transformation of search architecture due to AI, which aligns with the audience's interest in AI applications. However, it lacks actionable insights for product builders on how to implement these changes or leverage the trends discussed.","\u002Fsummaries\u002F458815182af123ca-the-surge-of-ai-powered-search-startups-summary","2026-05-20 15:04:45","2026-05-20 19:00:39",{"title":6723,"description":40},{"loc":6795},"458815182af123ca","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F05\u002F20\u002Fai-search-startups-are-blowing-up\u002F","summaries\u002F458815182af123ca-the-surge-of-ai-powered-search-startups-summary",[82,83,6804],"search","As Google pivots to AI-native search, a new wave of well-funded startups like Exa Labs and Parallel Web Systems are competing to capture the next generation of information discovery.",[83,6804],"gYel28agjGPMskKknz-PeneEpK7LYUz02I0orN6a5Uo"]