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