[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-5a392f8b90a76467-automating-peer-review-with-agentic-reinforcement-summary":3,"summaries-facets-categories":92,"summary-related-5a392f8b90a76467-automating-peer-review-with-agentic-reinforcement-summary":7436},{"id":4,"title":5,"ai":6,"body":13,"categories":58,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":63,"navigation":75,"path":76,"published_at":77,"question":60,"scraped_at":77,"seo":78,"sitemap":79,"source_id":80,"source_name":81,"source_type":82,"source_url":68,"stem":83,"tags":84,"thumbnail_url":60,"tldr":89,"tweet":60,"unknown_tags":90,"__hash__":91},"summaries\u002Fsummaries\u002F5a392f8b90a76467-automating-peer-review-with-agentic-reinforcement--summary.md","Automating Peer Review with Agentic Reinforcement Learning",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4040,502,2782,0.001763,{"type":14,"value":15,"toc":52},"minimark",[16,21,25,29,32,49],[17,18,20],"h2",{"id":19},"establishing-objective-reward-functions-for-peer-review","Establishing Objective Reward Functions for Peer Review",[22,23,24],"p",{},"Traditional peer review suffers from high variance, subjectivity, and a lack of standardized reward signals for AI agents tasked with evaluation. The InternReviewer and InternAdvocate framework addresses this by introducing a reinforcement learning (RL) architecture that treats the review process as a multi-agent game. By decoupling the 'reviewer' agent from the 'advocate' (rebuttal) agent, the system creates a competitive environment that forces both parties to ground their arguments in the actual content of the paper rather than relying on hallucinated critiques or generic praise.",[17,26,28],{"id":27},"the-agentic-feedback-loop","The Agentic Feedback Loop",[22,30,31],{},"The framework utilizes a dual-agent structure to refine evaluation quality:",[33,34,35,43],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"InternReviewer:"," Tasked with identifying substantive flaws and providing constructive, evidence-based feedback. Its reward function is calibrated to prioritize accuracy and alignment with the paper's claims.",[36,44,45,48],{},[39,46,47],{},"InternAdvocate:"," Acts as the author-proxy, generating rebuttals to the reviewer's critiques. This forces the reviewer agent to defend its claims, effectively creating a self-correcting loop where weak or biased reviews are penalized if they cannot withstand logical scrutiny.",[22,50,51],{},"By iterating through this rebuttal process, the system generates a more robust 'objective reward' signal. This signal is used to train the agents, moving away from static prompt-based evaluation toward a dynamic, policy-based approach that improves over time through simulated interaction.",{"title":53,"searchDepth":54,"depth":54,"links":55},"",2,[56,57],{"id":19,"depth":54,"text":20},{"id":27,"depth":54,"text":28},[59],"AI & LLMs",null,"md",false,{"content_references":64,"triage":70},[65],{"type":66,"title":67,"url":68,"context":69},"paper","InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttal","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.28612","reviewed",{"relevance":71,"novelty":72,"quality":72,"actionability":54,"composite":73,"reasoning":74},3,4,3.25,"Category: AI & LLMs. The article discusses a novel approach to automating peer review using reinforcement learning, which is relevant to AI engineering and addresses the challenge of subjectivity in evaluations. However, it lacks practical steps or frameworks that the audience could directly implement in their own projects.",true,"\u002Fsummaries\u002F5a392f8b90a76467-automating-peer-review-with-agentic-reinforcement-summary","2026-09-02 03:14:03",{"title":5,"description":53},{"loc":76},"5a392f8b90a76467","arXiv cs.AI","article","summaries\u002F5a392f8b90a76467-automating-peer-review-with-agentic-reinforcement--summary",[85,86,87,88],"agents","machine-learning","research","ai-llms","InternReviewer and InternAdvocate use agentic reinforcement learning to create objective, iterative feedback loops in academic peer review, addressing the subjectivity and bias inherent in human-led evaluation.",[88],"m0qewqMEkCa7MEeAZjh1Kd5ioS51Uvas7bKKvuQOeKo",[93,95,98,100,103,105,108,111,113,115,117,119,122,125,127,129,131,133,136,138,140,142,144,147,149,151,153,155,157,159,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,197,199,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,233,235,237,239,241,243,245,247,249,251,253,255,257,259,261,263,265,267,269,271,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,380,382,384,386,388,390,392,394,396,398,400,403,405,407,409,411,413,415,417,419,421,423,425,427,429,431,433,436,438,440,442,444,446,448,450,452,454,456,458,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,530,532,534,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,576,578,580,582,584,586,588,590,592,594,596,598,600,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,902,904,906,908,910,913,915,917,919,921,923,925,927,929,931,933,935,937,939,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042,7044,7046,7048,7050,7052,7054,7056,7058,7060,7062,7064,7066,7068,7070,7072,7074,7076,7078,7080,7082,7084,7086,7088,7090,7092,7094,7096,7098,7100,7102,7104,7106,7108,7110,7112,7114,7116,7118,7120,7122,7124,7126,7128,7130,7132,7134,7136,7138,7140,7142,7144,7146,7148,7150,7152,7154,7156,7158,7160,7162,7164,7166,7168,7170,7172,7174,7176,7178,7180,7182,7184,7186,7188,7190,7192,7194,7196,7198,7200,7202,7204,7206,7208,7210,7212,7214,7216,7218,7220,7222,7224,7226,7228,7230,7232,7234,7236,7238,7240,7242,7244,7246,7248,7250,7252,7254,7256,7258,7260,7262,7264,7266,7268,7270,7272,7274,7276,7278,7280,7282,7284,7286,7288,7290,7292,7294,7296,7298,7300,7302,7304,7306,7308,7310,7312,7314,7316,7318,7320,7322,7324,7326,7328,7330,7332,7334,7336,7338,7340,7342,7344,7346,7348,7350,7352,7354,7356,7358,7360,7362,7364,7366,7368,7370,7372,7374,7376,7378,7380,7382,7384,7386,7388,7390,7392,7394,7396,7398,7400,7402,7404,7406,7408,7410,7412,7414,7416,7418,7420,7422,7424,7426,7428,7430,7432,7434],{"categories":94},[59],{"categories":96},[97],"Developer Productivity",{"categories":99},[59],{"categories":101},[102],"Business & SaaS",{"categories":104},[59],{"categories":106},[107],"AI Automation",{"categories":109},[110],"Product Strategy",{"categories":112},[107],{"categories":114},[59],{"categories":116},[97],{"categories":118},[107],{"categories":120},[121],"Software Engineering",{"categories":123},[124],"Data Science & Visualization",{"categories":126},[59],{"categories":128},[102],{"categories":130},[],{"categories":132},[59],{"categories":134},[135],"Inference & Serving",{"categories":137},[59],{"categories":139},[59],{"categories":141},[107],{"categories":143},[],{"categories":145},[146],"AI News & Trends",{"categories":148},[124],{"categories":150},[107],{"categories":152},[59],{"categories":154},[59],{"categories":156},[59],{"categories":158},[102],{"categories":160},[97],{"categories":162},[59],{"categories":164},[107],{"categories":166},[146],{"categories":168},[59],{"categories":170},[107],{"categories":172},[107],{"categories":174},[59],{"categories":176},[59],{"categories":178},[107],{"categories":180},[59],{"categories":182},[59],{"categories":184},[59],{"categories":186},[102],{"categories":188},[107],{"categories":190},[146],{"categories":192},[59],{"categories":194},[59],{"categories":196},[59],{"categories":198},[],{"categories":200},[201],"Design & Frontend",{"categories":203},[59],{"categories":205},[124],{"categories":207},[146],{"categories":209},[59],{"categories":211},[59],{"categories":213},[59],{"categories":215},[],{"categories":217},[59],{"categories":219},[59],{"categories":221},[107],{"categories":223},[121],{"categories":225},[59],{"categories":227},[107],{"categories":229},[59],{"categories":231},[232],"Marketing & Growth",{"categories":234},[201],{"categories":236},[59],{"categories":238},[107],{"categories":240},[59],{"categories":242},[59],{"categories":244},[121],{"categories":246},[59],{"categories":248},[],{"categories":250},[],{"categories":252},[201],{"categories":254},[59],{"categories":256},[107],{"categories":258},[97],{"categories":260},[121],{"categories":262},[107],{"categories":264},[201],{"categories":266},[110],{"categories":268},[59],{"categories":270},[121],{"categories":272},[273],"DevOps & Cloud",{"categories":275},[107],{"categories":277},[110],{"categories":279},[146],{"categories":281},[59],{"categories":283},[],{"categories":285},[59],{"categories":287},[59],{"categories":289},[59],{"categories":291},[],{"categories":293},[107],{"categories":295},[121],{"categories":297},[],{"categories":299},[121],{"categories":301},[107],{"categories":303},[59],{"categories":305},[201],{"categories":307},[308],"Governance & Standards",{"categories":310},[102],{"categories":312},[],{"categories":314},[59],{"categories":316},[],{"categories":318},[59],{"categories":320},[59],{"categories":322},[107],{"categories":324},[107],{"categories":326},[59],{"categories":328},[59],{"categories":330},[107],{"categories":332},[59],{"categories":334},[59],{"categories":336},[59],{"categories":338},[],{"categories":340},[121],{"categories":342},[],{"categories":344},[],{"categories":346},[59],{"categories":348},[121],{"categories":350},[],{"categories":352},[121],{"categories":354},[59],{"categories":356},[107],{"categories":358},[59],{"categories":360},[232],{"categories":362},[59],{"categories":364},[59],{"categories":366},[59],{"categories":368},[201],{"categories":370},[201],{"categories":372},[59],{"categories":374},[121],{"categories":376},[107],{"categories":378},[379],"GovTech & Public-Sector Adoption",{"categories":381},[121],{"categories":383},[59],{"categories":385},[59],{"categories":387},[59],{"categories":389},[107],{"categories":391},[107],{"categories":393},[124],{"categories":395},[59],{"categories":397},[146],{"categories":399},[107],{"categories":401},[402],"Legal AI Tools",{"categories":404},[59],{"categories":406},[107],{"categories":408},[59],{"categories":410},[232],{"categories":412},[107],{"categories":414},[110],{"categories":416},[59],{"categories":418},[121],{"categories":420},[379],{"categories":422},[],{"categories":424},[107],{"categories":426},[],{"categories":428},[102],{"categories":430},[107],{"categories":432},[107],{"categories":434},[435],"RAG & Retrieval",{"categories":437},[102],{"categories":439},[59],{"categories":441},[121],{"categories":443},[121],{"categories":445},[273],{"categories":447},[201],{"categories":449},[107],{"categories":451},[59],{"categories":453},[59],{"categories":455},[],{"categories":457},[107],{"categories":459},[460],"Agents & Orchestration",{"categories":462},[121],{"categories":464},[59],{"categories":466},[],{"categories":468},[107],{"categories":470},[102],{"categories":472},[],{"categories":474},[59],{"categories":476},[],{"categories":478},[59],{"categories":480},[97],{"categories":482},[121],{"categories":484},[102],{"categories":486},[59],{"categories":488},[59],{"categories":490},[59],{"categories":492},[107],{"categories":494},[59],{"categories":496},[59],{"categories":498},[146],{"categories":500},[59],{"categories":502},[],{"categories":504},[59],{"categories":506},[59],{"categories":508},[],{"categories":510},[59],{"categories":512},[121],{"categories":514},[59],{"categories":516},[107],{"categories":518},[124],{"categories":520},[],{"categories":522},[59],{"categories":524},[59],{"categories":526},[201],{"categories":528},[529],"Models & Frontier Labs",{"categories":531},[],{"categories":533},[201],{"categories":535},[536],"Regulation & Governance of AI",{"categories":538},[110],{"categories":540},[107],{"categories":542},[],{"categories":544},[59],{"categories":546},[59],{"categories":548},[107],{"categories":550},[107],{"categories":552},[146],{"categories":554},[59],{"categories":556},[102],{"categories":558},[59],{"categories":560},[107],{"categories":562},[],{"categories":564},[121],{"categories":566},[107],{"categories":568},[59],{"categories":570},[110],{"categories":572},[59],{"categories":574},[575],"AI Policy & Regulation",{"categories":577},[],{"categories":579},[59],{"categories":581},[107],{"categories":583},[107],{"categories":585},[110],{"categories":587},[107],{"categories":589},[59],{"categories":591},[59],{"categories":593},[59],{"categories":595},[107],{"categories":597},[],{"categories":599},[124],{"categories":601},[602],"Evals & Reliability",{"categories":604},[59],{"categories":606},[59],{"categories":608},[],{"categories":610},[124],{"categories":612},[97],{"categories":614},[379],{"categories":616},[575],{"categories":618},[59],{"categories":620},[102],{"categories":622},[59],{"categories":624},[107],{"categories":626},[59],{"categories":628},[107],{"categories":630},[460],{"categories":632},[59],{"categories":634},[121],{"categories":636},[59],{"categories":638},[59],{"categories":640},[],{"categories":642},[201],{"categories":644},[],{"categories":646},[59],{"categories":648},[379],{"categories":650},[59],{"categories":652},[59],{"categories":654},[59],{"categories":656},[],{"categories":658},[59],{"categories":660},[201],{"categories":662},[121],{"categories":664},[],{"categories":666},[59],{"categories":668},[],{"categories":670},[107],{"categories":672},[59],{"categories":674},[201],{"categories":676},[],{"categories":678},[59],{"categories":680},[59],{"categories":682},[124],{"categories":684},[107],{"categories":686},[59],{"categories":688},[102],{"categories":690},[107],{"categories":692},[59],{"categories":694},[59],{"categories":696},[121],{"categories":698},[201],{"categories":700},[59],{"categories":702},[107],{"categories":704},[],{"categories":706},[121],{"categories":708},[107],{"categories":710},[124],{"categories":712},[],{"categories":714},[59],{"categories":716},[146],{"categories":718},[59],{"categories":720},[],{"categories":722},[59],{"categories":724},[59],{"categories":726},[59],{"categories":728},[102,232],{"categories":730},[],{"categories":732},[121],{"categories":734},[59],{"categories":736},[59],{"categories":738},[107],{"categories":740},[59],{"categories":742},[59],{"categories":744},[],{"categories":746},[],{"categories":748},[59],{"categories":750},[201],{"categories":752},[59],{"categories":754},[],{"categories":756},[59],{"categories":758},[273],{"categories":760},[],{"categories":762},[107],{"categories":764},[146],{"categories":766},[59],{"categories":768},[102],{"categories":770},[59],{"categories":772},[121],{"categories":774},[201],{"categories":776},[],{"categories":778},[146],{"categories":780},[59],{"categories":782},[135],{"categories":784},[59],{"categories":786},[59],{"categories":788},[107],{"categories":790},[146],{"categories":792},[529],{"categories":794},[59],{"categories":796},[232],{"categories":798},[],{"categories":800},[107],{"categories":802},[102],{"categories":804},[121],{"categories":806},[59],{"categories":808},[107],{"categories":810},[],{"categories":812},[59,273],{"categories":814},[59],{"categories":816},[59],{"categories":818},[59],{"categories":820},[107],{"categories":822},[59,121],{"categories":824},[124],{"categories":826},[59],{"categories":828},[59],{"categories":830},[59],{"categories":832},[121],{"categories":834},[59],{"categories":836},[107],{"categories":838},[107],{"categories":840},[575],{"categories":842},[232],{"categories":844},[59],{"categories":846},[107],{"categories":848},[59],{"categories":850},[59],{"categories":852},[107],{"categories":854},[],{"categories":856},[107],{"categories":858},[59],{"categories":860},[59],{"categories":862},[107],{"categories":864},[59],{"categories":866},[59,102],{"categories":868},[59],{"categories":870},[102],{"categories":872},[],{"categories":874},[201],{"categories":876},[201],{"categories":878},[59],{"categories":880},[],{"categories":882},[],{"categories":884},[59],{"categories":886},[146],{"categories":888},[],{"categories":890},[97],{"categories":892},[59],{"categories":894},[121],{"categories":896},[107],{"categories":898},[59],{"categories":900},[901],"Generative UI & Design-to-Code",{"categories":903},[59],{"categories":905},[59],{"categories":907},[201],{"categories":909},[59],{"categories":911},[912],"Algorithmic Accountability",{"categories":914},[107],{"categories":916},[121],{"categories":918},[146],{"categories":920},[201],{"categories":922},[59],{"categories":924},[],{"categories":926},[110],{"categories":928},[59],{"categories":930},[59],{"categories":932},[59],{"categories":934},[59],{"categories":936},[59],{"categories":938},[107],{"categories":940},[941],"MLOps & Infrastructure",{"categories":943},[59],{"categories":945},[59],{"categories":947},[59],{"categories":949},[59],{"categories":951},[59],{"categories":953},[121],{"categories":955},[146],{"categories":957},[59],{"categories":959},[59],{"categories":961},[110],{"categories":963},[97],{"categories":965},[59],{"categories":967},[107],{"categories":969},[273],{"categories":971},[59],{"categories":973},[102],{"categories":975},[59],{"categories":977},[201],{"categories":979},[59],{"categories":981},[110],{"categories":983},[59],{"categories":985},[107],{"categories":987},[],{"categories":989},[],{"categories":991},[59],{"categories":993},[135],{"categories":995},[201],{"categories":997},[146],{"categories":999},[124],{"categories":1001},[],{"categories":1003},[59],{"categories":1005},[59],{"categories":1007},[102],{"categories":1009},[107],{"categories":1011},[59],{"categories":1013},[59],{"categories":1015},[59],{"categories":1017},[59],{"categories":1019},[59],{"categories":1021},[146],{"categories":1023},[135],{"categories":1025},[59],{"categories":1027},[201],{"categories":1029},[59],{"categories":1031},[],{"categories":1033},[107],{"categories":1035},[121],{"categories":1037},[],{"categories":1039},[59],{"categories":1041},[59],{"categories":1043},[107],{"categories":1045},[121],{"categories":1047},[59],{"categories":1049},[124],{"categories":1051},[201],{"categories":1053},[],{"categories":1055},[59],{"categories":1057},[],{"categories":1059},[59],{"categories":1061},[],{"categories":1063},[59],{"categories":1065},[59],{"categories":1067},[110],{"categories":1069},[102],{"categories":1071},[107],{"categories":1073},[107],{"categories":1075},[],{"categories":1077},[59],{"categories":1079},[97],{"categories":1081},[59],{"categories":1083},[59],{"categories":1085},[102],{"categories":1087},[146],{"categories":1089},[97],{"categories":1091},[],{"categories":1093},[59],{"categories":1095},[],{"categories":1097},[59],{"categories":1099},[],{"categories":1101},[59],{"categories":1103},[146],{"categories":1105},[146],{"categories":1107},[],{"categories":1109},[460],{"categories":1111},[59],{"categories":1113},[201],{"categories":1115},[121],{"categories":1117},[],{"categories":1119},[402],{"categories":1121},[107],{"categories":1123},[102],{"categories":1125},[],{"categories":1127},[],{"categories":1129},[97],{"categories":1131},[124],{"categories":1133},[],{"categories":1135},[232],{"categories":1137},[107],{"categories":1139},[102],{"categories":1141},[107],{"categories":1143},[59],{"categories":1145},[102],{"categories":1147},[59],{"categories":1149},[121],{"categories":1151},[],{"categories":1153},[135],{"categories":1155},[110],{"categories":1157},[59],{"categories":1159},[201],{"categories":1161},[121],{"categories":1163},[102],{"categories":1165},[59],{"categories":1167},[121],{"categories":1169},[59],{"categories":1171},[107],{"categories":1173},[102],{"categories":1175},[59],{"categories":1177},[59],{"categories":1179},[59],{"categories":1181},[59],{"categories":1183},[59],{"categories":1185},[59],{"categories":1187},[],{"categories":1189},[],{"categories":1191},[121],{"categories":1193},[124],{"categories":1195},[110],{"categories":1197},[59],{"categories":1199},[107],{"categories":1201},[121],{"categories":1203},[121],{"categories":1205},[59],{"categories":1207},[],{"categories":1209},[59],{"categories":1211},[146],{"categories":1213},[110],{"categories":1215},[110],{"categories":1217},[121],{"categories":1219},[59],{"categories":1221},[602],{"categories":1223},[273],{"categories":1225},[],{"categories":1227},[107],{"categories":1229},[59],{"categories":1231},[97],{"categories":1233},[],{"categories":1235},[97],{"categories":1237},[],{"categories":1239},[59],{"categories":1241},[59],{"categories":1243},[59],{"categories":1245},[201],{"categories":1247},[232],{"categories":1249},[110],{"categories":1251},[59],{"categories":1253},[121],{"categories":1255},[59],{"categories":1257},[107],{"categories":1259},[],{"categories":1261},[121],{"categories":1263},[59],{"categories":1265},[97],{"categories":1267},[],{"categories":1269},[102],{"categories":1271},[59],{"categories":1273},[59],{"categories":1275},[146],{"categories":1277},[59,273],{"categories":1279},[59],{"categories":1281},[1282],"Design Systems for AI",{"categories":1284},[59],{"categories":1286},[59],{"categories":1288},[146],{"categories":1290},[59],{"categories":1292},[59],{"categories":1294},[59],{"categories":1296},[102],{"categories":1298},[59],{"categories":1300},[59],{"categories":1302},[59],{"categories":1304},[],{"categories":1306},[59],{"categories":1308},[59],{"categories":1310},[102],{"categories":1312},[59],{"categories":1314},[],{"categories":1316},[107],{"categories":1318},[107],{"categories":1320},[121],{"categories":1322},[146],{"categories":1324},[121],{"categories":1326},[59],{"categories":1328},[201],{"categories":1330},[146],{"categories":1332},[124],{"categories":1334},[59],{"categories":1336},[59],{"categories":1338},[59],{"categories":1340},[59],{"categories":1342},[107],{"categories":1344},[97],{"categories":1346},[575],{"categories":1348},[59],{"categories":1350},[59],{"categories":1352},[107],{"categories":1354},[59],{"categories":1356},[121],{"categories":1358},[59],{"categories":1360},[121],{"categories":1362},[],{"categories":1364},[201],{"categories":1366},[],{"categories":1368},[59],{"categories":1370},[107],{"categories":1372},[110],{"categories":1374},[],{"categories":1376},[102],{"categories":1378},[59],{"categories":1380},[],{"categories":1382},[201],{"categories":1384},[121],{"categories":1386},[107],{"categories":1388},[121],{"categories":1390},[201],{"categories":1392},[59],{"categories":1394},[121],{"categories":1396},[59],{"categories":1398},[201],{"categories":1400},[],{"categories":1402},[],{"categories":1404},[146],{"categories":1406},[107],{"categories":1408},[107],{"categories":1410},[59],{"categories":1412},[59],{"categories":1414},[59],{"categories":1416},[59],{"categories":1418},[59],{"categories":1420},[102],{"categories":1422},[59],{"categories":1424},[59],{"categories":1426},[],{"categories":1428},[121],{"categories":1430},[121],{"categories":1432},[59],{"categories":1434},[121],{"categories":1436},[102],{"categories":1438},[],{"categories":1440},[59],{"categories":1442},[59],{"categories":1444},[201],{"categories":1446},[59],{"categories":1448},[59],{"categories":1450},[59],{"categories":1452},[107],{"categories":1454},[97],{"categories":1456},[102],{"categories":1458},[59],{"categories":1460},[107],{"categories":1462},[146],{"categories":1464},[107],{"categories":1466},[135],{"categories":1468},[232],{"categories":1470},[59],{"categories":1472},[107],{"categories":1474},[59],{"categories":1476},[59],{"categories":1478},[59],{"categories":1480},[],{"categories":1482},[201],{"categories":1484},[],{"categories":1486},[59],{"categories":1488},[59],{"categories":1490},[],{"categories":1492},[59],{"categories":1494},[121],{"categories":1496},[102],{"categories":1498},[1499],"Visual & Generative Media",{"categories":1501},[107],{"categories":1503},[],{"categories":1505},[59],{"categories":1507},[59],{"categories":1509},[121],{"categories":1511},[59],{"categories":1513},[273],{"categories":1515},[59],{"categories":1517},[124],{"categories":1519},[575],{"categories":1521},[121],{"categories":1523},[232],{"categories":1525},[59],{"categories":1527},[110],{"categories":1529},[201],{"categories":1531},[59],{"categories":1533},[59],{"categories":1535},[121],{"categories":1537},[107],{"categories":1539},[59],{"categories":1541},[],{"categories":1543},[],{"categories":1545},[107],{"categories":1547},[121],{"categories":1549},[97],{"categories":1551},[107],{"categories":1553},[529],{"categories":1555},[59],{"categories":1557},[110],{"categories":1559},[59],{"categories":1561},[102],{"categories":1563},[],{"categories":1565},[59],{"categories":1567},[110],{"categories":1569},[59],{"categories":1571},[59],{"categories":1573},[59],{"categories":1575},[110],{"categories":1577},[59],{"categories":1579},[59],{"categories":1581},[232],{"categories":1583},[59],{"categories":1585},[460],{"categories":1587},[107],{"categories":1589},[59],{"categories":1591},[107],{"categories":1593},[59],{"categories":1595},[59],{"categories":1597},[107],{"categories":1599},[59],{"categories":1601},[59],{"categories":1603},[107],{"categories":1605},[59],{"categories":1607},[201],{"categories":1609},[107],{"categories":1611},[],{"categories":1613},[107],{"categories":1615},[59],{"categories":1617},[],{"categories":1619},[273],{"categories":1621},[121],{"categories":1623},[],{"categories":1625},[529],{"categories":1627},[59],{"categories":1629},[107],{"categories":1631},[107],{"categories":1633},[59],{"categories":1635},[201,59],{"categories":1637},[97],{"categories":1639},[59],{"categories":1641},[107],{"categories":1643},[201],{"categories":1645},[],{"categories":1647},[59],{"categories":1649},[97],{"categories":1651},[59],{"categories":1653},[1654],"Medical Imaging & Radiology",{"categories":1656},[59],{"categories":1658},[59],{"categories":1660},[59],{"categories":1662},[201],{"categories":1664},[107],{"categories":1666},[121],{"categories":1668},[],{"categories":1670},[59],{"categories":1672},[59],{"categories":1674},[59],{"categories":1676},[],{"categories":1678},[],{"categories":1680},[59],{"categories":1682},[59],{"categories":1684},[460],{"categories":1686},[59],{"categories":1688},[97],{"categories":1690},[59],{"categories":1692},[59],{"categories":1694},[],{"categories":1696},[107],{"categories":1698},[59],{"categories":1700},[110],{"categories":1702},[121],{"categories":1704},[59],{"categories":1706},[107],{"categories":1708},[460],{"categories":1710},[59],{"categories":1712},[107],{"categories":1714},[59],{"categories":1716},[59],{"categories":1718},[59],{"categories":1720},[59],{"categories":1722},[201],{"categories":1724},[107],{"categories":1726},[273],{"categories":1728},[201],{"categories":1730},[102],{"categories":1732},[107],{"categories":1734},[146],{"categories":1736},[59],{"categories":1738},[59],{"categories":1740},[110],{"categories":1742},[59],{"categories":1744},[59],{"categories":1746},[59],{"categories":1748},[59],{"categories":1750},[59],{"categories":1752},[107],{"categories":1754},[59],{"categories":1756},[121],{"categories":1758},[121],{"categories":1760},[59],{"categories":1762},[110],{"categories":1764},[],{"categories":1766},[146],{"categories":1768},[],{"categories":1770},[110],{"categories":1772},[107],{"categories":1774},[59],{"categories":1776},[107],{"categories":1778},[1282],{"categories":1780},[59],{"categories":1782},[1282],{"categories":1784},[201],{"categories":1786},[59],{"categories":1788},[59],{"categories":1790},[59],{"categories":1792},[107],{"categories":1794},[121],{"categories":1796},[201],{"categories":1798},[107],{"categories":1800},[146],{"categories":1802},[],{"categories":1804},[59],{"categories":1806},[],{"categories":1808},[59],{"categories":1810},[59],{"categories":1812},[59],{"categories":1814},[59],{"categories":1816},[59],{"categories":1818},[107],{"categories":1820},[1821],"Contract Review & E-Discovery",{"categories":1823},[59],{"categories":1825},[201],{"categories":1827},[59],{"categories":1829},[97],{"categories":1831},[59],{"categories":1833},[146],{"categories":1835},[59],{"categories":1837},[59],{"categories":1839},[232],{"categories":1841},[121],{"categories":1843},[107],{"categories":1845},[59],{"categories":1847},[59],{"categories":1849},[59],{"categories":1851},[107],{"categories":1853},[107],{"categories":1855},[912],{"categories":1857},[59],{"categories":1859},[59],{"categories":1861},[107],{"categories":1863},[107],{"categories":1865},[59],{"categories":1867},[59],{"categories":1869},[59],{"categories":1871},[107],{"categories":1873},[59],{"categories":1875},[121],{"categories":1877},[59],{"categories":1879},[460],{"categories":1881},[435],{"categories":1883},[59],{"categories":1885},[107],{"categories":1887},[59],{"categories":1889},[1890],"Law-Firm Practice & Adoption",{"categories":1892},[59],{"categories":1894},[107],{"categories":1896},[201],{"categories":1898},[59],{"categories":1900},[59],{"categories":1902},[59],{"categories":1904},[],{"categories":1906},[121],{"categories":1908},[],{"categories":1910},[121],{"categories":1912},[59],{"categories":1914},[],{"categories":1916},[107],{"categories":1918},[97],{"categories":1920},[273],{"categories":1922},[59],{"categories":1924},[],{"categories":1926},[59],{"categories":1928},[97],{"categories":1930},[102],{"categories":1932},[59],{"categories":1934},[232],{"categories":1936},[59],{"categories":1938},[],{"categories":1940},[102],{"categories":1942},[107],{"categories":1944},[102],{"categories":1946},[],{"categories":1948},[59],{"categories":1950},[110],{"categories":1952},[59],{"categories":1954},[121],{"categories":1956},[],{"categories":1958},[],{"categories":1960},[],{"categories":1962},[],{"categories":1964},[59],{"categories":1966},[110],{"categories":1968},[107],{"categories":1970},[273],{"categories":1972},[59],{"categories":1974},[97],{"categories":1976},[121],{"categories":1978},[59],{"categories":1980},[59],{"categories":1982},[121],{"categories":1984},[110],{"categories":1986},[59],{"categories":1988},[59],{"categories":1990},[59],{"categories":1992},[941],{"categories":1994},[59],{"categories":1996},[121],{"categories":1998},[59],{"categories":2000},[232],{"categories":2002},[121],{"categories":2004},[102],{"categories":2006},[59],{"categories":2008},[59],{"categories":2010},[59],{"categories":2012},[201],{"categories":2014},[59],{"categories":2016},[59],{"categories":2018},[59],{"categories":2020},[59],{"categories":2022},[102],{"categories":2024},[107],{"categories":2026},[59,97],{"categories":2028},[460],{"categories":2030},[59],{"categories":2032},[59],{"categories":2034},[121],{"categories":2036},[121],{"categories":2038},[201],{"categories":2040},[107],{"categories":2042},[107],{"categories":2044},[121],{"categories":2046},[59],{"categories":2048},[107],{"categories":2050},[59],{"categories":2052},[59],{"categories":2054},[],{"categories":2056},[],{"categories":2058},[59],{"categories":2060},[124],{"categories":2062},[59],{"categories":2064},[201],{"categories":2066},[107],{"categories":2068},[],{"categories":2070},[59],{"categories":2072},[59],{"categories":2074},[121],{"categories":2076},[124],{"categories":2078},[146],{"categories":2080},[201],{"categories":2082},[59],{"categories":2084},[107],{"categories":2086},[59],{"categories":2088},[121],{"categories":2090},[],{"categories":2092},[107],{"categories":2094},[59],{"categories":2096},[59],{"categories":2098},[59],{"categories":2100},[59],{"categories":2102},[59],{"categories":2104},[],{"categories":2106},[107],{"categories":2108},[59],{"categories":2110},[59],{"categories":2112},[59],{"categories":2114},[],{"categories":2116},[107],{"categories":2118},[107],{"categories":2120},[59],{"categories":2122},[59],{"categories":2124},[102],{"categories":2126},[59],{"categories":2128},[59],{"categories":2130},[],{"categories":2132},[97],{"categories":2134},[59],{"categories":2136},[59],{"categories":2138},[59],{"categories":2140},[201],{"categories":2142},[59],{"categories":2144},[121],{"categories":2146},[59],{"categories":2148},[97],{"categories":2150},[59],{"categories":2152},[121],{"categories":2154},[232],{"categories":2156},[121],{"categories":2158},[107],{"categories":2160},[107],{"categories":2162},[59],{"categories":2164},[59],{"categories":2166},[59,201],{"categories":2168},[59],{"categories":2170},[107],{"categories":2172},[146],{"categories":2174},[59],{"categories":2176},[146],{"categories":2178},[107],{"categories":2180},[201],{"categories":2182},[59],{"categories":2184},[],{"categories":2186},[121],{"categories":2188},[273],{"categories":2190},[201],{"categories":2192},[121],{"categories":2194},[59],{"categories":2196},[110],{"categories":2198},[59],{"categories":2200},[59],{"categories":2202},[107],{"categories":2204},[],{"categories":2206},[],{"categories":2208},[59],{"categories":2210},[],{"categories":2212},[],{"categories":2214},[110],{"categories":2216},[121],{"categories":2218},[59],{"categories":2220},[59],{"categories":2222},[107],{"categories":2224},[107],{"categories":2226},[102],{"categories":2228},[107],{"categories":2230},[273],{"categories":2232},[59],{"categories":2234},[59],{"categories":2236},[59],{"categories":2238},[135],{"categories":2240},[59],{"categories":2242},[59],{"categories":2244},[59],{"categories":2246},[59],{"categories":2248},[121],{"categories":2250},[107],{"categories":2252},[59],{"categories":2254},[59],{"categories":2256},[59],{"categories":2258},[121],{"categories":2260},[402],{"categories":2262},[107],{"categories":2264},[912],{"categories":2266},[],{"categories":2268},[107],{"categories":2270},[201],{"categories":2272},[1890],{"categories":2274},[121],{"categories":2276},[],{"categories":2278},[],{"categories":2280},[59],{"categories":2282},[107],{"categories":2284},[],{"categories":2286},[],{"categories":2288},[59],{"categories":2290},[232],{"categories":2292},[59],{"categories":2294},[232],{"categories":2296},[59],{"categories":2298},[107],{"categories":2300},[59],{"categories":2302},[124],{"categories":2304},[59],{"categories":2306},[121],{"categories":2308},[110],{"categories":2310},[],{"categories":2312},[59],{"categories":2314},[59],{"categories":2316},[59],{"categories":2318},[121],{"categories":2320},[59],{"categories":2322},[1821],{"categories":2324},[59],{"categories":2326},[201],{"categories":2328},[201],{"categories":2330},[59],{"categories":2332},[107],{"categories":2334},[97],{"categories":2336},[59],{"categories":2338},[59],{"categories":2340},[59],{"categories":2342},[59],{"categories":2344},[201],{"categories":2346},[201],{"categories":2348},[107],{"categories":2350},[107],{"categories":2352},[107],{"categories":2354},[59],{"categories":2356},[59],{"categories":2358},[59],{"categories":2360},[107],{"categories":2362},[],{"categories":2364},[59],{"categories":2366},[],{"categories":2368},[2369],"Interaction & Product Design",{"categories":2371},[59],{"categories":2373},[107],{"categories":2375},[121],{"categories":2377},[308],{"categories":2379},[146],{"categories":2381},[121],{"categories":2383},[59],{"categories":2385},[59],{"categories":2387},[59],{"categories":2389},[121],{"categories":2391},[59],{"categories":2393},[97],{"categories":2395},[107],{"categories":2397},[59],{"categories":2399},[],{"categories":2401},[107],{"categories":2403},[107],{"categories":2405},[107],{"categories":2407},[],{"categories":2409},[121],{"categories":2411},[59],{"categories":2413},[107],{"categories":2415},[97],{"categories":2417},[2369],{"categories":2419},[59],{"categories":2421},[97],{"categories":2423},[97],{"categories":2425},[59],{"categories":2427},[],{"categories":2429},[59],{"categories":2431},[107],{"categories":2433},[121],{"categories":2435},[],{"categories":2437},[107],{"categories":2439},[146],{"categories":2441},[59],{"categories":2443},[107],{"categories":2445},[59],{"categories":2447},[107],{"categories":2449},[107],{"categories":2451},[59],{"categories":2453},[59],{"categories":2455},[146],{"categories":2457},[124],{"categories":2459},[59],{"categories":2461},[110],{"categories":2463},[121],{"categories":2465},[2466],"Coding Agents & Dev Productivity",{"categories":2468},[146],{"categories":2470},[201],{"categories":2472},[59],{"categories":2474},[59],{"categories":2476},[],{"categories":2478},[59],{"categories":2480},[912],{"categories":2482},[],{"categories":2484},[59],{"categories":2486},[59],{"categories":2488},[273],{"categories":2490},[59],{"categories":2492},[146],{"categories":2494},[],{"categories":2496},[],{"categories":2498},[59],{"categories":2500},[],{"categories":2502},[107],{"categories":2504},[59],{"categories":2506},[107],{"categories":2508},[],{"categories":2510},[121],{"categories":2512},[121],{"categories":2514},[59],{"categories":2516},[124],{"categories":2518},[],{"categories":2520},[59],{"categories":2522},[59],{"categories":2524},[59],{"categories":2526},[124],{"categories":2528},[121],{"categories":2530},[107],{"categories":2532},[],{"categories":2534},[],{"categories":2536},[59],{"categories":2538},[59],{"categories":2540},[59],{"categories":2542},[59],{"categories":2544},[107],{"categories":2546},[107],{"categories":2548},[379],{"categories":2550},[121],{"categories":2552},[110],{"categories":2554},[121],{"categories":2556},[107],{"categories":2558},[146],{"categories":2560},[146],{"categories":2562},[107],{"categories":2564},[107],{"categories":2566},[59],{"categories":2568},[97],{"categories":2570},[2369],{"categories":2572},[110],{"categories":2574},[59,273],{"categories":2576},[124],{"categories":2578},[],{"categories":2580},[201],{"categories":2582},[107],{"categories":2584},[121],{"categories":2586},[97],{"categories":2588},[59],{"categories":2590},[107],{"categories":2592},[2593],"The Designer's Role & Craft",{"categories":2595},[201],{"categories":2597},[],{"categories":2599},[107],{"categories":2601},[59],{"categories":2603},[107],{"categories":2605},[107],{"categories":2607},[59],{"categories":2609},[232],{"categories":2611},[59],{"categories":2613},[121],{"categories":2615},[107],{"categories":2617},[59],{"categories":2619},[201],{"categories":2621},[59],{"categories":2623},[],{"categories":2625},[107],{"categories":2627},[201],{"categories":2629},[110],{"categories":2631},[59],{"categories":2633},[107],{"categories":2635},[59],{"categories":2637},[59],{"categories":2639},[2640],"AI UX Patterns",{"categories":2642},[107],{"categories":2644},[107],{"categories":2646},[107],{"categories":2648},[59],{"categories":2650},[107],{"categories":2652},[232],{"categories":2654},[124],{"categories":2656},[59],{"categories":2658},[107],{"categories":2660},[59],{"categories":2662},[1282],{"categories":2664},[],{"categories":2666},[232],{"categories":2668},[107],{"categories":2670},[146],{"categories":2672},[121],{"categories":2674},[59],{"categories":2676},[107],{"categories":2678},[],{"categories":2680},[],{"categories":2682},[59],{"categories":2684},[59],{"categories":2686},[107],{"categories":2688},[59],{"categories":2690},[107],{"categories":2692},[379],{"categories":2694},[201],{"categories":2696},[59],{"categories":2698},[146],{"categories":2700},[121],{"categories":2702},[59],{"categories":2704},[107],{"categories":2706},[107],{"categories":2708},[],{"categories":2710},[59],{"categories":2712},[],{"categories":2714},[59],{"categories":2716},[],{"categories":2718},[59],{"categories":2720},[59],{"categories":2722},[59],{"categories":2724},[107],{"categories":2726},[121],{"categories":2728},[],{"categories":2730},[],{"categories":2732},[124],{"categories":2734},[135],{"categories":2736},[59],{"categories":2738},[59],{"categories":2740},[59],{"categories":2742},[124],{"categories":2744},[124],{"categories":2746},[59],{"categories":2748},[59],{"categories":2750},[146],{"categories":2752},[59],{"categories":2754},[59],{"categories":2756},[59],{"categories":2758},[107],{"categories":2760},[59],{"categories":2762},[107],{"categories":2764},[59],{"categories":2766},[59],{"categories":2768},[59],{"categories":2770},[107],{"categories":2772},[],{"categories":2774},[59],{"categories":2776},[],{"categories":2778},[59],{"categories":2780},[59],{"categories":2782},[273],{"categories":2784},[59],{"categories":2786},[],{"categories":2788},[],{"categories":2790},[201],{"categories":2792},[941],{"categories":2794},[107],{"categories":2796},[97],{"categories":2798},[2593],{"categories":2800},[],{"categories":2802},[],{"categories":2804},[59],{"categories":2806},[],{"categories":2808},[],{"categories":2810},[121],{"categories":2812},[146],{"categories":2814},[232],{"categories":2816},[107],{"categories":2818},[102],{"categories":2820},[59],{"categories":2822},[59],{"categories":2824},[102],{"categories":2826},[],{"categories":2828},[201],{"categories":2830},[110],{"categories":2832},[59],{"categories":2834},[59],{"categories":2836},[107],{"categories":2838},[102],{"categories":2840},[59],{"categories":2842},[59],{"categories":2844},[97],{"categories":2846},[59],{"categories":2848},[59],{"categories":2850},[],{"categories":2852},[97],{"categories":2854},[59],{"categories":2856},[232],{"categories":2858},[107],{"categories":2860},[146],{"categories":2862},[59],{"categories":2864},[121],{"categories":2866},[59],{"categories":2868},[59],{"categories":2870},[59],{"categories":2872},[59],{"categories":2874},[102],{"categories":2876},[59],{"categories":2878},[59],{"categories":2880},[59],{"categories":2882},[107],{"categories":2884},[59],{"categories":2886},[59],{"categories":2888},[],{"categories":2890},[59],{"categories":2892},[121],{"categories":2894},[97],{"categories":2896},[59],{"categories":2898},[59],{"categories":2900},[201],{"categories":2902},[59],{"categories":2904},[],{"categories":2906},[59],{"categories":2908},[460],{"categories":2910},[107],{"categories":2912},[102],{"categories":2914},[146],{"categories":2916},[59],{"categories":2918},[59],{"categories":2920},[],{"categories":2922},[102],{"categories":2924},[102],{"categories":2926},[59],{"categories":2928},[59],{"categories":2930},[110],{"categories":2932},[59],{"categories":2934},[59],{"categories":2936},[59],{"categories":2938},[59],{"categories":2940},[121],{"categories":2942},[124],{"categories":2944},[121],{"categories":2946},[59],{"categories":2948},[],{"categories":2950},[59],{"categories":2952},[121],{"categories":2954},[59],{"categories":2956},[121],{"categories":2958},[107],{"categories":2960},[575],{"categories":2962},[],{"categories":2964},[],{"categories":2966},[59],{"categories":2968},[146],{"categories":2970},[],{"categories":2972},[273],{"categories":2974},[59],{"categories":2976},[59],{"categories":2978},[59],{"categories":2980},[201],{"categories":2982},[901],{"categories":2984},[],{"categories":2986},[59],{"categories":2988},[59],{"categories":2990},[59],{"categories":2992},[121],{"categories":2994},[59],{"categories":2996},[59],{"categories":2998},[59],{"categories":3000},[59,273],{"categories":3002},[59],{"categories":3004},[59],{"categories":3006},[201],{"categories":3008},[107],{"categories":3010},[],{"categories":3012},[107],{"categories":3014},[107],{"categories":3016},[59],{"categories":3018},[59],{"categories":3020},[59],{"categories":3022},[59],{"categories":3024},[124],{"categories":3026},[59],{"categories":3028},[2640],{"categories":3030},[97],{"categories":3032},[59],{"categories":3034},[124],{"categories":3036},[97],{"categories":3038},[121],{"categories":3040},[201],{"categories":3042},[107],{"categories":3044},[59],{"categories":3046},[],{"categories":3048},[102],{"categories":3050},[59],{"categories":3052},[59],{"categories":3054},[146],{"categories":3056},[59],{"categories":3058},[59],{"categories":3060},[59],{"categories":3062},[107],{"categories":3064},[59],{"categories":3066},[59],{"categories":3068},[201],{"categories":3070},[59],{"categories":3072},[102],{"categories":3074},[],{"categories":3076},[273],{"categories":3078},[59],{"categories":3080},[379],{"categories":3082},[201],{"categories":3084},[201],{"categories":3086},[121],{"categories":3088},[107],{"categories":3090},[59],{"categories":3092},[102],{"categories":3094},[146],{"categories":3096},[59],{"categories":3098},[59],{"categories":3100},[59],{"categories":3102},[201],{"categories":3104},[107],{"categories":3106},[59],{"categories":3108},[107],{"categories":3110},[59],{"categories":3112},[107],{"categories":3114},[59],{"categories":3116},[529],{"categories":3118},[59],{"categories":3120},[107],{"categories":3122},[],{"categories":3124},[59],{"categories":3126},[59],{"categories":3128},[59],{"categories":3130},[59],{"categories":3132},[],{"categories":3134},[],{"categories":3136},[59],{"categories":3138},[59],{"categories":3140},[107],{"categories":3142},[59],{"categories":3144},[59],{"categories":3146},[59],{"categories":3148},[121],{"categories":3150},[59],{"categories":3152},[59],{"categories":3154},[107],{"categories":3156},[59],{"categories":3158},[59],{"categories":3160},[59],{"categories":3162},[59],{"categories":3164},[59],{"categories":3166},[],{"categories":3168},[121],{"categories":3170},[124],{"categories":3172},[59],{"categories":3174},[107],{"categories":3176},[107],{"categories":3178},[59],{"categories":3180},[59],{"categories":3182},[],{"categories":3184},[],{"categories":3186},[59],{"categories":3188},[59],{"categories":3190},[59],{"categories":3192},[146],{"categories":3194},[124],{"categories":3196},[],{"categories":3198},[59],{"categories":3200},[201],{"categories":3202},[59],{"categories":3204},[273],{"categories":3206},[1890],{"categories":3208},[59],{"categories":3210},[146],{"categories":3212},[121],{"categories":3214},[59],{"categories":3216},[121],{"categories":3218},[121],{"categories":3220},[59],{"categories":3222},[59],{"categories":3224},[121],{"categories":3226},[146],{"categories":3228},[146],{"categories":3230},[273],{"categories":3232},[107],{"categories":3234},[],{"categories":3236},[146],{"categories":3238},[102],{"categories":3240},[59],{"categories":3242},[107],{"categories":3244},[97],{"categories":3246},[121],{"categories":3248},[59],{"categories":3250},[146],{"categories":3252},[],{"categories":3254},[59],{"categories":3256},[121],{"categories":3258},[121],{"categories":3260},[124],{"categories":3262},[59],{"categories":3264},[146],{"categories":3266},[59],{"categories":3268},[121],{"categories":3270},[107],{"categories":3272},[107],{"categories":3274},[146],{"categories":3276},[107],{"categories":3278},[273],{"categories":3280},[107],{"categories":3282},[59],{"categories":3284},[59],{"categories":3286},[59],{"categories":3288},[59],{"categories":3290},[59],{"categories":3292},[121],{"categories":3294},[59],{"categories":3296},[],{"categories":3298},[107],{"categories":3300},[102],{"categories":3302},[121],{"categories":3304},[],{"categories":3306},[],{"categories":3308},[59],{"categories":3310},[107],{"categories":3312},[59],{"categories":3314},[59],{"categories":3316},[59],{"categories":3318},[3319],"Frameworks & Tooling",{"categories":3321},[59],{"categories":3323},[59],{"categories":3325},[121],{"categories":3327},[59],{"categories":3329},[59],{"categories":3331},[],{"categories":3333},[124],{"categories":3335},[124],{"categories":3337},[59],{"categories":3339},[97],{"categories":3341},[59],{"categories":3343},[107],{"categories":3345},[59],{"categories":3347},[201],{"categories":3349},[],{"categories":3351},[1890],{"categories":3353},[59],{"categories":3355},[121],{"categories":3357},[59],{"categories":3359},[273],{"categories":3361},[273],{"categories":3363},[],{"categories":3365},[107],{"categories":3367},[107],{"categories":3369},[59],{"categories":3371},[59],{"categories":3373},[146],{"categories":3375},[107],{"categories":3377},[146],{"categories":3379},[59],{"categories":3381},[107],{"categories":3383},[],{"categories":3385},[201],{"categories":3387},[59],{"categories":3389},[59],{"categories":3391},[],{"categories":3393},[59],{"categories":3395},[107],{"categories":3397},[59],{"categories":3399},[59],{"categories":3401},[59],{"categories":3403},[],{"categories":3405},[102],{"categories":3407},[121],{"categories":3409},[59],{"categories":3411},[121],{"categories":3413},[273],{"categories":3415},[59],{"categories":3417},[59],{"categories":3419},[59],{"categories":3421},[121],{"categories":3423},[59],{"categories":3425},[102],{"categories":3427},[59],{"categories":3429},[1890],{"categories":3431},[],{"categories":3433},[107],{"categories":3435},[97],{"categories":3437},[59],{"categories":3439},[97],{"categories":3441},[59],{"categories":3443},[],{"categories":3445},[107],{"categories":3447},[59],{"categories":3449},[59],{"categories":3451},[3452],"AI Design Tooling",{"categories":3454},[201],{"categories":3456},[59],{"categories":3458},[59],{"categories":3460},[121],{"categories":3462},[201],{"categories":3464},[59],{"categories":3466},[59],{"categories":3468},[121],{"categories":3470},[107],{"categories":3472},[146],{"categories":3474},[110],{"categories":3476},[121],{"categories":3478},[59],{"categories":3480},[59],{"categories":3482},[59],{"categories":3484},[107],{"categories":3486},[59],{"categories":3488},[],{"categories":3490},[107],{"categories":3492},[59],{"categories":3494},[59],{"categories":3496},[107],{"categories":3498},[59],{"categories":3500},[59],{"categories":3502},[59],{"categories":3504},[107],{"categories":3506},[],{"categories":3508},[107],{"categories":3510},[3319],{"categories":3512},[59],{"categories":3514},[59],{"categories":3516},[107],{"categories":3518},[107],{"categories":3520},[121],{"categories":3522},[121],{"categories":3524},[59],{"categories":3526},[59],{"categories":3528},[],{"categories":3530},[121],{"categories":3532},[59],{"categories":3534},[59],{"categories":3536},[107],{"categories":3538},[102],{"categories":3540},[59],{"categories":3542},[],{"categories":3544},[59],{"categories":3546},[59],{"categories":3548},[2369],{"categories":3550},[],{"categories":3552},[59],{"categories":3554},[59],{"categories":3556},[59],{"categories":3558},[59],{"categories":3560},[201],{"categories":3562},[59],{"categories":3564},[],{"categories":3566},[59],{"categories":3568},[59],{"categories":3570},[59],{"categories":3572},[59],{"categories":3574},[232],{"categories":3576},[146],{"categories":3578},[59],{"categories":3580},[59],{"categories":3582},[1890],{"categories":3584},[59],{"categories":3586},[97],{"categories":3588},[59],{"categories":3590},[59],{"categories":3592},[124],{"categories":3594},[107],{"categories":3596},[59],{"categories":3598},[59],{"categories":3600},[146],{"categories":3602},[107],{"categories":3604},[],{"categories":3606},[59],{"categories":3608},[59],{"categories":3610},[201],{"categories":3612},[59],{"categories":3614},[232],{"categories":3616},[107],{"categories":3618},[59],{"categories":3620},[107],{"categories":3622},[59],{"categories":3624},[],{"categories":3626},[],{"categories":3628},[],{"categories":3630},[97],{"categories":3632},[146],{"categories":3634},[107],{"categories":3636},[59],{"categories":3638},[59],{"categories":3640},[59],{"categories":3642},[59],{"categories":3644},[402],{"categories":3646},[201],{"categories":3648},[107],{"categories":3650},[59],{"categories":3652},[],{"categories":3654},[107],{"categories":3656},[107],{"categories":3658},[],{"categories":3660},[59],{"categories":3662},[107],{"categories":3664},[59],{"categories":3666},[],{"categories":3668},[59],{"categories":3670},[59],{"categories":3672},[59],{"categories":3674},[146],{"categories":3676},[201],{"categories":3678},[107],{"categories":3680},[201],{"categories":3682},[107],{"categories":3684},[59],{"categories":3686},[102],{"categories":3688},[],{"categories":3690},[],{"categories":3692},[59],{"categories":3694},[59],{"categories":3696},[59],{"categories":3698},[97],{"categories":3700},[59],{"categories":3702},[107],{"categories":3704},[146],{"categories":3706},[],{"categories":3708},[201],{"categories":3710},[107],{"categories":3712},[],{"categories":3714},[121],{"categories":3716},[59],{"categories":3718},[121],{"categories":3720},[201],{"categories":3722},[121],{"categories":3724},[59],{"categories":3726},[],{"categories":3728},[59],{"categories":3730},[59],{"categories":3732},[107],{"categories":3734},[],{"categories":3736},[59],{"categories":3738},[59],{"categories":3740},[232],{"categories":3742},[59],{"categories":3744},[59],{"categories":3746},[273],{"categories":3748},[121],{"categories":3750},[59],{"categories":3752},[107],{"categories":3754},[],{"categories":3756},[59],{"categories":3758},[107],{"categories":3760},[59],{"categories":3762},[97],{"categories":3764},[529],{"categories":3766},[59],{"categories":3768},[59],{"categories":3770},[59],{"categories":3772},[107],{"categories":3774},[59],{"categories":3776},[107],{"categories":3778},[59],{"categories":3780},[59],{"categories":3782},[59],{"categories":3784},[107],{"categories":3786},[59],{"categories":3788},[59],{"categories":3790},[],{"categories":3792},[59],{"categories":3794},[97],{"categories":3796},[59],{"categories":3798},[102],{"categories":3800},[121],{"categories":3802},[201],{"categories":3804},[],{"categories":3806},[59],{"categories":3808},[],{"categories":3810},[107],{"categories":3812},[59],{"categories":3814},[107],{"categories":3816},[],{"categories":3818},[107],{"categories":3820},[59],{"categories":3822},[121],{"categories":3824},[201],{"categories":3826},[146],{"categories":3828},[59],{"categories":3830},[146],{"categories":3832},[107],{"categories":3834},[201],{"categories":3836},[59],{"categories":3838},[],{"categories":3840},[59],{"categories":3842},[135],{"categories":3844},[107],{"categories":3846},[59],{"categories":3848},[201],{"categories":3850},[146],{"categories":3852},[59],{"categories":3854},[102],{"categories":3856},[121],{"categories":3858},[59],{"categories":3860},[59],{"categories":3862},[59],{"categories":3864},[59],{"categories":3866},[59],{"categories":3868},[146],{"categories":3870},[121],{"categories":3872},[232],{"categories":3874},[],{"categories":3876},[],{"categories":3878},[124],{"categories":3880},[460],{"categories":3882},[59],{"categories":3884},[107],{"categories":3886},[59,121],{"categories":3888},[146],{"categories":3890},[59],{"categories":3892},[59],{"categories":3894},[59],{"categories":3896},[59],{"categories":3898},[59],{"categories":3900},[59],{"categories":3902},[59],{"categories":3904},[107],{"categories":3906},[59],{"categories":3908},[59],{"categories":3910},[107],{"categories":3912},[59],{"categories":3914},[59],{"categories":3916},[59],{"categories":3918},[],{"categories":3920},[59],{"categories":3922},[1282],{"categories":3924},[121],{"categories":3926},[201],{"categories":3928},[59],{"categories":3930},[59],{"categories":3932},[59],{"categories":3934},[59],{"categories":3936},[124],{"categories":3938},[107],{"categories":3940},[232],{"categories":3942},[273],{"categories":3944},[],{"categories":3946},[121],{"categories":3948},[59],{"categories":3950},[102],{"categories":3952},[107],{"categories":3954},[59],{"categories":3956},[97],{"categories":3958},[107],{"categories":3960},[59],{"categories":3962},[107],{"categories":3964},[107],{"categories":3966},[110],{"categories":3968},[121],{"categories":3970},[59],{"categories":3972},[59],{"categories":3974},[],{"categories":3976},[],{"categories":3978},[],{"categories":3980},[273],{"categories":3982},[59],{"categories":3984},[146],{"categories":3986},[59],{"categories":3988},[59],{"categories":3990},[59],{"categories":3992},[59],{"categories":3994},[121],{"categories":3996},[59],{"categories":3998},[],{"categories":4000},[59],{"categories":4002},[124],{"categories":4004},[102],{"categories":4006},[107],{"categories":4008},[59],{"categories":4010},[],{"categories":4012},[59],{"categories":4014},[107],{"categories":4016},[121],{"categories":4018},[59],{"categories":4020},[59],{"categories":4022},[59],{"categories":4024},[273],{"categories":4026},[],{"categories":4028},[201],{"categories":4030},[201],{"categories":4032},[59],{"categories":4034},[107],{"categories":4036},[],{"categories":4038},[121],{"categories":4040},[59],{"categories":4042},[201],{"categories":4044},[59],{"categories":4046},[102],{"categories":4048},[107],{"categories":4050},[59],{"categories":4052},[],{"categories":4054},[146],{"categories":4056},[59],{"categories":4058},[59],{"categories":4060},[59],{"categories":4062},[59],{"categories":4064},[201],{"categories":4066},[107],{"categories":4068},[146],{"categories":4070},[],{"categories":4072},[107],{"categories":4074},[59],{"categories":4076},[102],{"categories":4078},[107],{"categories":4080},[201],{"categories":4082},[59],{"categories":4084},[59],{"categories":4086},[59],{"categories":4088},[460],{"categories":4090},[59],{"categories":4092},[107],{"categories":4094},[],{"categories":4096},[59],{"categories":4098},[59],{"categories":4100},[273],{"categories":4102},[146],{"categories":4104},[124],{"categories":4106},[575],{"categories":4108},[124],{"categories":4110},[124],{"categories":4112},[59],{"categories":4114},[],{"categories":4116},[],{"categories":4118},[],{"categories":4120},[107],{"categories":4122},[59],{"categories":4124},[59],{"categories":4126},[107],{"categories":4128},[107],{"categories":4130},[121],{"categories":4132},[59],{"categories":4134},[435],{"categories":4136},[121],{"categories":4138},[59],{"categories":4140},[107],{"categories":4142},[59],{"categories":4144},[59],{"categories":4146},[59],{"categories":4148},[102],{"categories":4150},[59],{"categories":4152},[59],{"categories":4154},[59],{"categories":4156},[107],{"categories":4158},[59],{"categories":4160},[],{"categories":4162},[],{"categories":4164},[59],{"categories":4166},[],{"categories":4168},[59],{"categories":4170},[107],{"categories":4172},[201],{"categories":4174},[59],{"categories":4176},[59],{"categories":4178},[107],{"categories":4180},[],{"categories":4182},[107],{"categories":4184},[59],{"categories":4186},[59],{"categories":4188},[110],{"categories":4190},[59],{"categories":4192},[201],{"categories":4194},[59],{"categories":4196},[107],{"categories":4198},[102],{"categories":4200},[59],{"categories":4202},[59],{"categories":4204},[59],{"categories":4206},[232],{"categories":4208},[107],{"categories":4210},[59],{"categories":4212},[59],{"categories":4214},[901],{"categories":4216},[59],{"categories":4218},[107],{"categories":4220},[59],{"categories":4222},[121],{"categories":4224},[59],{"categories":4226},[529],{"categories":4228},[201],{"categories":4230},[],{"categories":4232},[59],{"categories":4234},[59],{"categories":4236},[146],{"categories":4238},[460],{"categories":4240},[107],{"categories":4242},[59],{"categories":4244},[],{"categories":4246},[146],{"categories":4248},[379],{"categories":4250},[107],{"categories":4252},[107],{"categories":4254},[107],{"categories":4256},[59],{"categories":4258},[59],{"categories":4260},[107],{"categories":4262},[59],{"categories":4264},[],{"categories":4266},[102],{"categories":4268},[59],{"categories":4270},[201],{"categories":4272},[102],{"categories":4274},[107],{"categories":4276},[],{"categories":4278},[121],{"categories":4280},[59],{"categories":4282},[59],{"categories":4284},[97],{"categories":4286},[59],{"categories":4288},[146],{"categories":4290},[273],{"categories":4292},[135],{"categories":4294},[107],{"categories":4296},[107],{"categories":4298},[59],{"categories":4300},[59],{"categories":4302},[107],{"categories":4304},[59],{"categories":4306},[97],{"categories":4308},[],{"categories":4310},[107],{"categories":4312},[59],{"categories":4314},[59],{"categories":4316},[59],{"categories":4318},[107],{"categories":4320},[59],{"categories":4322},[],{"categories":4324},[59],{"categories":4326},[],{"categories":4328},[201],{"categories":4330},[107],{"categories":4332},[59,102],{"categories":4334},[107],{"categories":4336},[59],{"categories":4338},[],{"categories":4340},[97],{"categories":4342},[124],{"categories":4344},[102],{"categories":4346},[59],{"categories":4348},[121],{"categories":4350},[59],{"categories":4352},[59],{"categories":4354},[107],{"categories":4356},[59],{"categories":4358},[59],{"categories":4360},[59],{"categories":4362},[146],{"categories":4364},[1282],{"categories":4366},[107],{"categories":4368},[59],{"categories":4370},[],{"categories":4372},[],{"categories":4374},[59],{"categories":4376},[107],{"categories":4378},[59],{"categories":4380},[59],{"categories":4382},[273],{"categories":4384},[],{"categories":4386},[59],{"categories":4388},[107],{"categories":4390},[135],{"categories":4392},[107],{"categories":4394},[59],{"categories":4396},[460],{"categories":4398},[],{"categories":4400},[402],{"categories":4402},[59],{"categories":4404},[107],{"categories":4406},[59],{"categories":4408},[59],{"categories":4410},[59],{"categories":4412},[232],{"categories":4414},[59],{"categories":4416},[107],{"categories":4418},[59],{"categories":4420},[124],{"categories":4422},[110],{"categories":4424},[107],{"categories":4426},[59],{"categories":4428},[460],{"categories":4430},[59],{"categories":4432},[273],{"categories":4434},[102],{"categories":4436},[],{"categories":4438},[59],{"categories":4440},[59],{"categories":4442},[232],{"categories":4444},[201],{"categories":4446},[59],{"categories":4448},[59],{"categories":4450},[59],{"categories":4452},[],{"categories":4454},[232],{"categories":4456},[146],{"categories":4458},[59],{"categories":4460},[59],{"categories":4462},[59],{"categories":4464},[575],{"categories":4466},[97],{"categories":4468},[59],{"categories":4470},[110],{"categories":4472},[59],{"categories":4474},[59],{"categories":4476},[],{"categories":4478},[],{"categories":4480},[201],{"categories":4482},[59],{"categories":4484},[59],{"categories":4486},[124],{"categories":4488},[232],{"categories":4490},[107],{"categories":4492},[59],{"categories":4494},[59],{"categories":4496},[232],{"categories":4498},[146],{"categories":4500},[59],{"categories":4502},[],{"categories":4504},[59],{"categories":4506},[59],{"categories":4508},[],{"categories":4510},[59],{"categories":4512},[59],{"categories":4514},[602],{"categories":4516},[59],{"categories":4518},[59],{"categories":4520},[107],{"categories":4522},[121],{"categories":4524},[460],{"categories":4526},[59],{"categories":4528},[102],{"categories":4530},[59],{"categories":4532},[59],{"categories":4534},[],{"categories":4536},[59,121],{"categories":4538},[146],{"categories":4540},[107],{"categories":4542},[121],{"categories":4544},[107],{"categories":4546},[941],{"categories":4548},[121],{"categories":4550},[121],{"categories":4552},[107],{"categories":4554},[59],{"categories":4556},[97],{"categories":4558},[59],{"categories":4560},[],{"categories":4562},[],{"categories":4564},[107],{"categories":4566},[59],{"categories":4568},[121],{"categories":4570},[107],{"categories":4572},[59],{"categories":4574},[97],{"categories":4576},[121],{"categories":4578},[121],{"categories":4580},[59],{"categories":4582},[232],{"categories":4584},[59],{"categories":4586},[59],{"categories":4588},[121],{"categories":4590},[59],{"categories":4592},[],{"categories":4594},[59],{"categories":4596},[59],{"categories":4598},[201,59],{"categories":4600},[273],{"categories":4602},[97],{"categories":4604},[59],{"categories":4606},[],{"categories":4608},[59],{"categories":4610},[59],{"categories":4612},[102],{"categories":4614},[59],{"categories":4616},[102],{"categories":4618},[59],{"categories":4620},[59],{"categories":4622},[379],{"categories":4624},[59],{"categories":4626},[102],{"categories":4628},[121],{"categories":4630},[124],{"categories":4632},[107],{"categories":4634},[59],{"categories":4636},[121],{"categories":4638},[59],{"categories":4640},[59],{"categories":4642},[146],{"categories":4644},[232],{"categories":4646},[201],{"categories":4648},[59],{"categories":4650},[59],{"categories":4652},[110],{"categories":4654},[59],{"categories":4656},[59],{"categories":4658},[97],{"categories":4660},[59],{"categories":4662},[107],{"categories":4664},[107],{"categories":4666},[121],{"categories":4668},[59],{"categories":4670},[146],{"categories":4672},[121],{"categories":4674},[121],{"categories":4676},[59],{"categories":4678},[59],{"categories":4680},[],{"categories":4682},[],{"categories":4684},[124],{"categories":4686},[59],{"categories":4688},[121],{"categories":4690},[59],{"categories":4692},[201],{"categories":4694},[460],{"categories":4696},[402],{"categories":4698},[379],{"categories":4700},[59],{"categories":4702},[59],{"categories":4704},[121],{"categories":4706},[59],{"categories":4708},[124],{"categories":4710},[59],{"categories":4712},[59],{"categories":4714},[59],{"categories":4716},[59],{"categories":4718},[59],{"categories":4720},[59],{"categories":4722},[59],{"categories":4724},[107],{"categories":4726},[97],{"categories":4728},[107],{"categories":4730},[59,102],{"categories":4732},[],{"categories":4734},[201],{"categories":4736},[],{"categories":4738},[110],{"categories":4740},[59],{"categories":4742},[146],{"categories":4744},[97],{"categories":4746},[59],{"categories":4748},[97],{"categories":4750},[107],{"categories":4752},[124],{"categories":4754},[107],{"categories":4756},[102],{"categories":4758},[110],{"categories":4760},[59],{"categories":4762},[107],{"categories":4764},[59],{"categories":4766},[59],{"categories":4768},[59],{"categories":4770},[102],{"categories":4772},[107],{"categories":4774},[121],{"categories":4776},[232],{"categories":4778},[59],{"categories":4780},[59],{"categories":4782},[],{"categories":4784},[146],{"categories":4786},[59],{"categories":4788},[59],{"categories":4790},[59],{"categories":4792},[59],{"categories":4794},[59],{"categories":4796},[59],{"categories":4798},[121],{"categories":4800},[146],{"categories":4802},[121],{"categories":4804},[121],{"categories":4806},[59],{"categories":4808},[59],{"categories":4810},[59],{"categories":4812},[59],{"categories":4814},[402],{"categories":4816},[59],{"categories":4818},[107],{"categories":4820},[107],{"categories":4822},[146],{"categories":4824},[59],{"categories":4826},[59],{"categories":4828},[59],{"categories":4830},[107],{"categories":4832},[59],{"categories":4834},[59],{"categories":4836},[59],{"categories":4838},[3319],{"categories":4840},[4841],"Clinical AI",{"categories":4843},[201],{"categories":4845},[59],{"categories":4847},[59],{"categories":4849},[59],{"categories":4851},[59],{"categories":4853},[273],{"categories":4855},[2640],{"categories":4857},[59],{"categories":4859},[110],{"categories":4861},[201],{"categories":4863},[59],{"categories":4865},[107],{"categories":4867},[59],{"categories":4869},[59],{"categories":4871},[146],{"categories":4873},[59],{"categories":4875},[107],{"categories":4877},[121],{"categories":4879},[232],{"categories":4881},[59],{"categories":4883},[59],{"categories":4885},[102],{"categories":4887},[59],{"categories":4889},[59],{"categories":4891},[529],{"categories":4893},[59],{"categories":4895},[],{"categories":4897},[107],{"categories":4899},[59],{"categories":4901},[121],{"categories":4903},[97],{"categories":4905},[59],{"categories":4907},[],{"categories":4909},[],{"categories":4911},[59],{"categories":4913},[],{"categories":4915},[102],{"categories":4917},[59],{"categories":4919},[59],{"categories":4921},[107],{"categories":4923},[59],{"categories":4925},[146],{"categories":4927},[146],{"categories":4929},[146],{"categories":4931},[146],{"categories":4933},[],{"categories":4935},[97],{"categories":4937},[107],{"categories":4939},[146],{"categories":4941},[59],{"categories":4943},[602],{"categories":4945},[110],{"categories":4947},[107],{"categories":4949},[59],{"categories":4951},[97],{"categories":4953},[59],{"categories":4955},[107],{"categories":4957},[59],{"categories":4959},[59],{"categories":4961},[59],{"categories":4963},[59],{"categories":4965},[59,107],{"categories":4967},[107],{"categories":4969},[273],{"categories":4971},[146],{"categories":4973},[107],{"categories":4975},[146],{"categories":4977},[107],{"categories":4979},[59],{"categories":4981},[],{"categories":4983},[146],{"categories":4985},[232],{"categories":4987},[97],{"categories":4989},[59],{"categories":4991},[59],{"categories":4993},[],{"categories":4995},[121],{"categories":4997},[],{"categories":4999},[97],{"categories":5001},[107],{"categories":5003},[146],{"categories":5005},[59],{"categories":5007},[146],{"categories":5009},[97],{"categories":5011},[146],{"categories":5013},[146],{"categories":5015},[],{"categories":5017},[102],{"categories":5019},[107],{"categories":5021},[146],{"categories":5023},[146],{"categories":5025},[146],{"categories":5027},[146],{"categories":5029},[146],{"categories":5031},[146],{"categories":5033},[146],{"categories":5035},[146],{"categories":5037},[146],{"categories":5039},[146],{"categories":5041},[124],{"categories":5043},[97],{"categories":5045},[59],{"categories":5047},[59],{"categories":5049},[107],{"categories":5051},[107],{"categories":5053},[],{"categories":5055},[59],{"categories":5057},[59,97],{"categories":5059},[],{"categories":5061},[107],{"categories":5063},[59],{"categories":5065},[146],{"categories":5067},[107],{"categories":5069},[107],{"categories":5071},[941],{"categories":5073},[59],{"categories":5075},[59],{"categories":5077},[59],{"categories":5079},[59],{"categories":5081},[110],{"categories":5083},[59],{"categories":5085},[59],{"categories":5087},[379],{"categories":5089},[59],{"categories":5091},[59],{"categories":5093},[107],{"categories":5095},[59],{"categories":5097},[59],{"categories":5099},[59],{"categories":5101},[102],{"categories":5103},[110],{"categories":5105},[107],{"categories":5107},[107],{"categories":5109},[],{"categories":5111},[107],{"categories":5113},[201],{"categories":5115},[146],{"categories":5117},[59],{"categories":5119},[],{"categories":5121},[110],{"categories":5123},[],{"categories":5125},[121],{"categories":5127},[59],{"categories":5129},[107],{"categories":5131},[201],{"categories":5133},[59],{"categories":5135},[59],{"categories":5137},[],{"categories":5139},[59],{"categories":5141},[59],{"categories":5143},[],{"categories":5145},[232],{"categories":5147},[59],{"categories":5149},[107],{"categories":5151},[],{"categories":5153},[],{"categories":5155},[146],{"categories":5157},[97],{"categories":5159},[59],{"categories":5161},[59],{"categories":5163},[102],{"categories":5165},[59],{"categories":5167},[59],{"categories":5169},[107],{"categories":5171},[59],{"categories":5173},[102],{"categories":5175},[102],{"categories":5177},[201],{"categories":5179},[],{"categories":5181},[59],{"categories":5183},[146],{"categories":5185},[],{"categories":5187},[59],{"categories":5189},[59],{"categories":5191},[201],{"categories":5193},[59],{"categories":5195},[59],{"categories":5197},[232],{"categories":5199},[59],{"categories":5201},[273],{"categories":5203},[],{"categories":5205},[107],{"categories":5207},[59],{"categories":5209},[232],{"categories":5211},[121],{"categories":5213},[],{"categories":5215},[59],{"categories":5217},[],{"categories":5219},[107],{"categories":5221},[201],{"categories":5223},[121],{"categories":5225},[],{"categories":5227},[3319],{"categories":5229},[102],{"categories":5231},[97],{"categories":5233},[59],{"categories":5235},[124],{"categories":5237},[107],{"categories":5239},[201],{"categories":5241},[59],{"categories":5243},[59],{"categories":5245},[121],{"categories":5247},[],{"categories":5249},[],{"categories":5251},[59],{"categories":5253},[97],{"categories":5255},[59],{"categories":5257},[232],{"categories":5259},[],{"categories":5261},[107],{"categories":5263},[107],{"categories":5265},[59],{"categories":5267},[107],{"categories":5269},[59],{"categories":5271},[146],{"categories":5273},[59],{"categories":5275},[121],{"categories":5277},[59],{"categories":5279},[107],{"categories":5281},[110],{"categories":5283},[59],{"categories":5285},[59],{"categories":5287},[59],{"categories":5289},[59],{"categories":5291},[107],{"categories":5293},[59],{"categories":5295},[110],{"categories":5297},[232],{"categories":5299},[146],{"categories":5301},[],{"categories":5303},[232],{"categories":5305},[59],{"categories":5307},[],{"categories":5309},[121],{"categories":5311},[107],{"categories":5313},[],{"categories":5315},[59],{"categories":5317},[59],{"categories":5319},[59],{"categories":5321},[59],{"categories":5323},[59],{"categories":5325},[107],{"categories":5327},[102],{"categories":5329},[97],{"categories":5331},[59],{"categories":5333},[59],{"categories":5335},[107],{"categories":5337},[59],{"categories":5339},[201],{"categories":5341},[121],{"categories":5343},[121],{"categories":5345},[59],{"categories":5347},[124],{"categories":5349},[107],{"categories":5351},[59],{"categories":5353},[59],{"categories":5355},[107],{"categories":5357},[59],{"categories":5359},[59],{"categories":5361},[107],{"categories":5363},[102],{"categories":5365},[59],{"categories":5367},[201],{"categories":5369},[121],{"categories":5371},[107],{"categories":5373},[59],{"categories":5375},[110],{"categories":5377},[59],{"categories":5379},[107],{"categories":5381},[59],{"categories":5383},[59],{"categories":5385},[146],{"categories":5387},[59],{"categories":5389},[],{"categories":5391},[97],{"categories":5393},[59],{"categories":5395},[59],{"categories":5397},[59],{"categories":5399},[121],{"categories":5401},[121],{"categories":5403},[59],{"categories":5405},[121],{"categories":5407},[59],{"categories":5409},[107],{"categories":5411},[59],{"categories":5413},[59],{"categories":5415},[59],{"categories":5417},[59],{"categories":5419},[59],{"categories":5421},[],{"categories":5423},[59],{"categories":5425},[201],{"categories":5427},[107],{"categories":5429},[102],{"categories":5431},[146],{"categories":5433},[59],{"categories":5435},[107],{"categories":5437},[59],{"categories":5439},[107],{"categories":5441},[59],{"categories":5443},[59],{"categories":5445},[201],{"categories":5447},[107],{"categories":5449},[59],{"categories":5451},[232],{"categories":5453},[102],{"categories":5455},[59],{"categories":5457},[124],{"categories":5459},[59],{"categories":5461},[59],{"categories":5463},[146],{"categories":5465},[59],{"categories":5467},[59],{"categories":5469},[59],{"categories":5471},[59],{"categories":5473},[107],{"categories":5475},[273],{"categories":5477},[59],{"categories":5479},[121],{"categories":5481},[107],{"categories":5483},[124],{"categories":5485},[],{"categories":5487},[107],{"categories":5489},[121],{"categories":5491},[59],{"categories":5493},[59],{"categories":5495},[59],{"categories":5497},[2466],{"categories":5499},[59],{"categories":5501},[201],{"categories":5503},[308],{"categories":5505},[59],{"categories":5507},[59],{"categories":5509},[59],{"categories":5511},[59],{"categories":5513},[59],{"categories":5515},[97],{"categories":5517},[107],{"categories":5519},[59],{"categories":5521},[59],{"categories":5523},[121],{"categories":5525},[102],{"categories":5527},[59],{"categories":5529},[121],{"categories":5531},[59],{"categories":5533},[],{"categories":5535},[107],{"categories":5537},[107],{"categories":5539},[59],{"categories":5541},[59],{"categories":5543},[59],{"categories":5545},[124],{"categories":5547},[],{"categories":5549},[146],{"categories":5551},[],{"categories":5553},[146],{"categories":5555},[59],{"categories":5557},[59],{"categories":5559},[59],{"categories":5561},[107],{"categories":5563},[59],{"categories":5565},[107],{"categories":5567},[107],{"categories":5569},[],{"categories":5571},[59],{"categories":5573},[146],{"categories":5575},[59],{"categories":5577},[],{"categories":5579},[59],{"categories":5581},[59],{"categories":5583},[],{"categories":5585},[59],{"categories":5587},[59],{"categories":5589},[201],{"categories":5591},[121],{"categories":5593},[107],{"categories":5595},[59],{"categories":5597},[59],{"categories":5599},[59],{"categories":5601},[59],{"categories":5603},[232],{"categories":5605},[59],{"categories":5607},[59],{"categories":5609},[59],{"categories":5611},[97],{"categories":5613},[59],{"categories":5615},[59],{"categories":5617},[],{"categories":5619},[59],{"categories":5621},[59],{"categories":5623},[59],{"categories":5625},[],{"categories":5627},[97],{"categories":5629},[59],{"categories":5631},[59],{"categories":5633},[59],{"categories":5635},[146],{"categories":5637},[59],{"categories":5639},[121],{"categories":5641},[110],{"categories":5643},[107],{"categories":5645},[460],{"categories":5647},[59],{"categories":5649},[59],{"categories":5651},[59],{"categories":5653},[121],{"categories":5655},[146],{"categories":5657},[201],{"categories":5659},[59],{"categories":5661},[59],{"categories":5663},[59],{"categories":5665},[59],{"categories":5667},[59],{"categories":5669},[59],{"categories":5671},[146],{"categories":5673},[59],{"categories":5675},[201],{"categories":5677},[59],{"categories":5679},[59],{"categories":5681},[146],{"categories":5683},[201],{"categories":5685},[59],{"categories":5687},[146],{"categories":5689},[59],{"categories":5691},[107],{"categories":5693},[107],{"categories":5695},[107],{"categories":5697},[121],{"categories":5699},[146],{"categories":5701},[107],{"categories":5703},[107],{"categories":5705},[59],{"categories":5707},[121],{"categories":5709},[201],{"categories":5711},[59],{"categories":5713},[59],{"categories":5715},[107],{"categories":5717},[59],{"categories":5719},[],{"categories":5721},[107],{"categories":5723},[],{"categories":5725},[59],{"categories":5727},[59],{"categories":5729},[],{"categories":5731},[],{"categories":5733},[107],{"categories":5735},[102],{"categories":5737},[107],{"categories":5739},[5740],"Liability & Ethics",{"categories":5742},[59],{"categories":5744},[59],{"categories":5746},[59],{"categories":5748},[107],{"categories":5750},[97],{"categories":5752},[107],{"categories":5754},[102],{"categories":5756},[232],{"categories":5758},[59],{"categories":5760},[107],{"categories":5762},[59],{"categories":5764},[59],{"categories":5766},[59],{"categories":5768},[],{"categories":5770},[575],{"categories":5772},[107],{"categories":5774},[],{"categories":5776},[59],{"categories":5778},[97],{"categories":5780},[107],{"categories":5782},[59],{"categories":5784},[],{"categories":5786},[107],{"categories":5788},[59],{"categories":5790},[59],{"categories":5792},[121],{"categories":5794},[59],{"categories":5796},[146],{"categories":5798},[59],{"categories":5800},[59],{"categories":5802},[110],{"categories":5804},[59],{"categories":5806},[107],{"categories":5808},[59],{"categories":5810},[59],{"categories":5812},[59],{"categories":5814},[146],{"categories":5816},[107],{"categories":5818},[121],{"categories":5820},[201],{"categories":5822},[97],{"categories":5824},[59],{"categories":5826},[59],{"categories":5828},[59],{"categories":5830},[],{"categories":5832},[107],{"categories":5834},[107],{"categories":5836},[107],{"categories":5838},[460],{"categories":5840},[201],{"categories":5842},[107],{"categories":5844},[273],{"categories":5846},[121],{"categories":5848},[146],{"categories":5850},[59],{"categories":5852},[201],{"categories":5854},[59],{"categories":5856},[97],{"categories":5858},[],{"categories":5860},[107],{"categories":5862},[59],{"categories":5864},[59],{"categories":5866},[59],{"categories":5868},[59],{"categories":5870},[107],{"categories":5872},[59],{"categories":5874},[59],{"categories":5876},[201],{"categories":5878},[107],{"categories":5880},[],{"categories":5882},[107],{"categories":5884},[110],{"categories":5886},[59],{"categories":5888},[146],{"categories":5890},[107],{"categories":5892},[102],{"categories":5894},[],{"categories":5896},[59],{"categories":5898},[59],{"categories":5900},[110],{"categories":5902},[59],{"categories":5904},[107],{"categories":5906},[146],{"categories":5908},[97],{"categories":5910},[273],{"categories":5912},[59],{"categories":5914},[59],{"categories":5916},[59],{"categories":5918},[146],{"categories":5920},[102],{"categories":5922},[59],{"categories":5924},[201],{"categories":5926},[146],{"categories":5928},[273],{"categories":5930},[59],{"categories":5932},[107],{"categories":5934},[],{"categories":5936},[529],{"categories":5938},[],{"categories":5940},[59],{"categories":5942},[273],{"categories":5944},[59],{"categories":5946},[124],{"categories":5948},[59],{"categories":5950},[107],{"categories":5952},[107],{"categories":5954},[5955],"Design News & Tools",{"categories":5957},[59],{"categories":5959},[59],{"categories":5961},[146],{"categories":5963},[59],{"categories":5965},[59],{"categories":5967},[59],{"categories":5969},[97],{"categories":5971},[107],{"categories":5973},[59],{"categories":5975},[201],{"categories":5977},[107],{"categories":5979},[107],{"categories":5981},[201],{"categories":5983},[59],{"categories":5985},[59],{"categories":5987},[59],{"categories":5989},[460],{"categories":5991},[107],{"categories":5993},[59],{"categories":5995},[59],{"categories":5997},[59],{"categories":5999},[460],{"categories":6001},[59],{"categories":6003},[232],{"categories":6005},[59],{"categories":6007},[107],{"categories":6009},[],{"categories":6011},[59],{"categories":6013},[59],{"categories":6015},[59],{"categories":6017},[146],{"categories":6019},[59],{"categories":6021},[97],{"categories":6023},[],{"categories":6025},[59],{"categories":6027},[59],{"categories":6029},[59],{"categories":6031},[121],{"categories":6033},[602],{"categories":6035},[121],{"categories":6037},[201],{"categories":6039},[59],{"categories":6041},[59,107],{"categories":6043},[232,102],{"categories":6045},[121],{"categories":6047},[59],{"categories":6049},[59],{"categories":6051},[59],{"categories":6053},[59],{"categories":6055},[],{"categories":6057},[121],{"categories":6059},[107],{"categories":6061},[59],{"categories":6063},[59],{"categories":6065},[],{"categories":6067},[59],{"categories":6069},[121],{"categories":6071},[59],{"categories":6073},[121],{"categories":6075},[59],{"categories":6077},[],{"categories":6079},[107],{"categories":6081},[59],{"categories":6083},[102],{"categories":6085},[59],{"categories":6087},[146],{"categories":6089},[59],{"categories":6091},[],{"categories":6093},[59],{"categories":6095},[107],{"categories":6097},[59],{"categories":6099},[],{"categories":6101},[201],{"categories":6103},[59],{"categories":6105},[59],{"categories":6107},[107],{"categories":6109},[59],{"categories":6111},[59],{"categories":6113},[59],{"categories":6115},[97],{"categories":6117},[59],{"categories":6119},[107],{"categories":6121},[59],{"categories":6123},[],{"categories":6125},[59],{"categories":6127},[273],{"categories":6129},[232],{"categories":6131},[102],{"categories":6133},[102],{"categories":6135},[59],{"categories":6137},[97],{"categories":6139},[97],{"categories":6141},[59],{"categories":6143},[107],{"categories":6145},[59],{"categories":6147},[59],{"categories":6149},[59],{"categories":6151},[59],{"categories":6153},[121],{"categories":6155},[59],{"categories":6157},[97],{"categories":6159},[59],{"categories":6161},[59],{"categories":6163},[107],{"categories":6165},[59],{"categories":6167},[232],{"categories":6169},[59],{"categories":6171},[146],{"categories":6173},[59],{"categories":6175},[59],{"categories":6177},[107],{"categories":6179},[110],{"categories":6181},[59],{"categories":6183},[107],{"categories":6185},[59],{"categories":6187},[107],{"categories":6189},[],{"categories":6191},[121],{"categories":6193},[],{"categories":6195},[121],{"categories":6197},[107],{"categories":6199},[97],{"categories":6201},[59],{"categories":6203},[],{"categories":6205},[124],{"categories":6207},[273],{"categories":6209},[59],{"categories":6211},[121],{"categories":6213},[59],{"categories":6215},[],{"categories":6217},[146],{"categories":6219},[107],{"categories":6221},[121],{"categories":6223},[201],{"categories":6225},[102],{"categories":6227},[59],{"categories":6229},[59],{"categories":6231},[107],{"categories":6233},[121],{"categories":6235},[107],{"categories":6237},[146],{"categories":6239},[59],{"categories":6241},[110],{"categories":6243},[97],{"categories":6245},[110],{"categories":6247},[146],{"categories":6249},[59],{"categories":6251},[121],{"categories":6253},[59],{"categories":6255},[201],{"categories":6257},[102],{"categories":6259},[59],{"categories":6261},[59],{"categories":6263},[59],{"categories":6265},[59],{"categories":6267},[59],{"categories":6269},[59],{"categories":6271},[107],{"categories":6273},[59],{"categories":6275},[59],{"categories":6277},[107],{"categories":6279},[59],{"categories":6281},[59],{"categories":6283},[97],{"categories":6285},[59],{"categories":6287},[107],{"categories":6289},[107],{"categories":6291},[201],{"categories":6293},[107],{"categories":6295},[59],{"categories":6297},[107],{"categories":6299},[59],{"categories":6301},[97],{"categories":6303},[107],{"categories":6305},[201],{"categories":6307},[],{"categories":6309},[59],{"categories":6311},[124],{"categories":6313},[460],{"categories":6315},[59],{"categories":6317},[107],{"categories":6319},[59],{"categories":6321},[59],{"categories":6323},[121],{"categories":6325},[59],{"categories":6327},[],{"categories":6329},[59],{"categories":6331},[107],{"categories":6333},[59],{"categories":6335},[232],{"categories":6337},[201],{"categories":6339},[59],{"categories":6341},[121],{"categories":6343},[59],{"categories":6345},[146],{"categories":6347},[107],{"categories":6349},[59],{"categories":6351},[232],{"categories":6353},[107],{"categories":6355},[102],{"categories":6357},[102],{"categories":6359},[59],{"categories":6361},[59],{"categories":6363},[59],{"categories":6365},[59],{"categories":6367},[59],{"categories":6369},[59],{"categories":6371},[97],{"categories":6373},[59],{"categories":6375},[],{"categories":6377},[59],{"categories":6379},[59],{"categories":6381},[107],{"categories":6383},[59],{"categories":6385},[107],{"categories":6387},[59],{"categories":6389},[59],{"categories":6391},[59],{"categories":6393},[59],{"categories":6395},[59],{"categories":6397},[59],{"categories":6399},[121],{"categories":6401},[],{"categories":6403},[97],{"categories":6405},[59],{"categories":6407},[59],{"categories":6409},[107],{"categories":6411},[107],{"categories":6413},[],{"categories":6415},[121],{"categories":6417},[121],{"categories":6419},[59],{"categories":6421},[232],{"categories":6423},[102],{"categories":6425},[201],{"categories":6427},[59],{"categories":6429},[],{"categories":6431},[59],{"categories":6433},[107],{"categories":6435},[97],{"categories":6437},[59],{"categories":6439},[59],{"categories":6441},[121],{"categories":6443},[97],{"categories":6445},[59],{"categories":6447},[59],{"categories":6449},[146],{"categories":6451},[124],{"categories":6453},[59],{"categories":6455},[146],{"categories":6457},[107],{"categories":6459},[59],{"categories":6461},[],{"categories":6463},[146],{"categories":6465},[107],{"categories":6467},[201],{"categories":6469},[124],{"categories":6471},[59],{"categories":6473},[59],{"categories":6475},[59],{"categories":6477},[],{"categories":6479},[107],{"categories":6481},[107],{"categories":6483},[107],{"categories":6485},[3319],{"categories":6487},[146],{"categories":6489},[59],{"categories":6491},[121],{"categories":6493},[59],{"categories":6495},[59],{"categories":6497},[59],{"categories":6499},[59],{"categories":6501},[59],{"categories":6503},[107],{"categories":6505},[59],{"categories":6507},[102],{"categories":6509},[59],{"categories":6511},[97],{"categories":6513},[1890],{"categories":6515},[273],{"categories":6517},[97],{"categories":6519},[],{"categories":6521},[59],{"categories":6523},[],{"categories":6525},[59],{"categories":6527},[146],{"categories":6529},[107],{"categories":6531},[201],{"categories":6533},[59],{"categories":6535},[59],{"categories":6537},[59],{"categories":6539},[59],{"categories":6541},[59],{"categories":6543},[146],{"categories":6545},[],{"categories":6547},[107],{"categories":6549},[59],{"categories":6551},[107],{"categories":6553},[107],{"categories":6555},[],{"categories":6557},[59],{"categories":6559},[],{"categories":6561},[146],{"categories":6563},[97],{"categories":6565},[59],{"categories":6567},[201],{"categories":6569},[59],{"categories":6571},[107],{"categories":6573},[146],{"categories":6575},[59],{"categories":6577},[146],{"categories":6579},[],{"categories":6581},[146],{"categories":6583},[59],{"categories":6585},[97],{"categories":6587},[107],{"categories":6589},[460],{"categories":6591},[107],{"categories":6593},[59],{"categories":6595},[],{"categories":6597},[121],{"categories":6599},[107],{"categories":6601},[110],{"categories":6603},[107],{"categories":6605},[97],{"categories":6607},[59],{"categories":6609},[59],{"categories":6611},[],{"categories":6613},[],{"categories":6615},[],{"categories":6617},[201],{"categories":6619},[59],{"categories":6621},[107],{"categories":6623},[59],{"categories":6625},[59],{"categories":6627},[],{"categories":6629},[],{"categories":6631},[],{"categories":6633},[59],{"categories":6635},[107],{"categories":6637},[201],{"categories":6639},[59],{"categories":6641},[],{"categories":6643},[107],{"categories":6645},[59],{"categories":6647},[59],{"categories":6649},[97],{"categories":6651},[],{"categories":6653},[],{"categories":6655},[59],{"categories":6657},[59],{"categories":6659},[107],{"categories":6661},[201],{"categories":6663},[59],{"categories":6665},[146],{"categories":6667},[],{"categories":6669},[59],{"categories":6671},[59],{"categories":6673},[232],{"categories":6675},[146],{"categories":6677},[232],{"categories":6679},[121],{"categories":6681},[124],{"categories":6683},[59],{"categories":6685},[59],{"categories":6687},[],{"categories":6689},[],{"categories":6691},[107],{"categories":6693},[],{"categories":6695},[59],{"categories":6697},[460],{"categories":6699},[59],{"categories":6701},[59],{"categories":6703},[59],{"categories":6705},[59],{"categories":6707},[],{"categories":6709},[107],{"categories":6711},[59],{"categories":6713},[59],{"categories":6715},[],{"categories":6717},[107],{"categories":6719},[107],{"categories":6721},[59],{"categories":6723},[146],{"categories":6725},[59],{"categories":6727},[232],{"categories":6729},[59],{"categories":6731},[107],{"categories":6733},[102],{"categories":6735},[110],{"categories":6737},[59],{"categories":6739},[59],{"categories":6741},[107],{"categories":6743},[124],{"categories":6745},[107],{"categories":6747},[107],{"categories":6749},[],{"categories":6751},[59],{"categories":6753},[107],{"categories":6755},[],{"categories":6757},[59],{"categories":6759},[],{"categories":6761},[146],{"categories":6763},[102],{"categories":6765},[],{"categories":6767},[59],{"categories":6769},[59],{"categories":6771},[59],{"categories":6773},[],{"categories":6775},[107],{"categories":6777},[201],{"categories":6779},[97],{"categories":6781},[59],{"categories":6783},[],{"categories":6785},[102],{"categories":6787},[232],{"categories":6789},[59],{"categories":6791},[121],{"categories":6793},[97],{"categories":6795},[124],{"categories":6797},[102],{"categories":6799},[121],{"categories":6801},[107],{"categories":6803},[121],{"categories":6805},[],{"categories":6807},[59],{"categories":6809},[110],{"categories":6811},[110],{"categories":6813},[59],{"categories":6815},[],{"categories":6817},[107],{"categories":6819},[107],{"categories":6821},[97],{"categories":6823},[201],{"categories":6825},[59],{"categories":6827},[97],{"categories":6829},[107],{"categories":6831},[273],{"categories":6833},[59],{"categories":6835},[59],{"categories":6837},[59],{"categories":6839},[59],{"categories":6841},[59],{"categories":6843},[97],{"categories":6845},[59],{"categories":6847},[121],{"categories":6849},[124],{"categories":6851},[107],{"categories":6853},[],{"categories":6855},[59],{"categories":6857},[59],{"categories":6859},[59],{"categories":6861},[121],{"categories":6863},[107],{"categories":6865},[146],{"categories":6867},[121],{"categories":6869},[59],{"categories":6871},[110],{"categories":6873},[],{"categories":6875},[201],{"categories":6877},[121],{"categories":6879},[146],{"categories":6881},[59],{"categories":6883},[97],{"categories":6885},[107],{"categories":6887},[59],{"categories":6889},[59],{"categories":6891},[107],{"categories":6893},[110],{"categories":6895},[59],{"categories":6897},[107],{"categories":6899},[59],{"categories":6901},[102],{"categories":6903},[59],{"categories":6905},[107],{"categories":6907},[107,273],{"categories":6909},[59],{"categories":6911},[59],{"categories":6913},[107],{"categories":6915},[121],{"categories":6917},[59],{"categories":6919},[59],{"categories":6921},[124],{"categories":6923},[107],{"categories":6925},[232],{"categories":6927},[107],{"categories":6929},[102],{"categories":6931},[],{"categories":6933},[107],{"categories":6935},[59],{"categories":6937},[102],{"categories":6939},[],{"categories":6941},[],{"categories":6943},[59],{"categories":6945},[121],{"categories":6947},[59],{"categories":6949},[59],{"categories":6951},[107],{"categories":6953},[124],{"categories":6955},[232],{"categories":6957},[59],{"categories":6959},[59],{"categories":6961},[59],{"categories":6963},[59],{"categories":6965},[107],{"categories":6967},[],{"categories":6969},[107],{"categories":6971},[146],{"categories":6973},[59],{"categories":6975},[107],{"categories":6977},[107],{"categories":6979},[59],{"categories":6981},[],{"categories":6983},[146],{"categories":6985},[121],{"categories":6987},[3319],{"categories":6989},[97],{"categories":6991},[121],{"categories":6993},[59],{"categories":6995},[107],{"categories":6997},[59],{"categories":6999},[59],{"categories":7001},[232],{"categories":7003},[121],{"categories":7005},[124],{"categories":7007},[],{"categories":7009},[146],{"categories":7011},[59],{"categories":7013},[59],{"categories":7015},[],{"categories":7017},[107],{"categories":7019},[59],{"categories":7021},[59],{"categories":7023},[59],{"categories":7025},[59],{"categories":7027},[107],{"categories":7029},[59],{"categories":7031},[59],{"categories":7033},[59],{"categories":7035},[110],{"categories":7037},[59],{"categories":7039},[107],{"categories":7041},[59],{"categories":7043},[59],{"categories":7045},[59],{"categories":7047},[59],{"categories":7049},[59],{"categories":7051},[59],{"categories":7053},[59],{"categories":7055},[102],{"categories":7057},[],{"categories":7059},[110],{"categories":7061},[59],{"categories":7063},[146],{"categories":7065},[107],{"categories":7067},[59],{"categories":7069},[121],{"categories":7071},[],{"categories":7073},[121],{"categories":7075},[121],{"categories":7077},[107],{"categories":7079},[121],{"categories":7081},[59],{"categories":7083},[59],{"categories":7085},[59],{"categories":7087},[107],{"categories":7089},[121],{"categories":7091},[59],{"categories":7093},[59],{"categories":7095},[59],{"categories":7097},[107],{"categories":7099},[146],{"categories":7101},[59],{"categories":7103},[59],{"categories":7105},[59],{"categories":7107},[102],{"categories":7109},[59],{"categories":7111},[107],{"categories":7113},[201],{"categories":7115},[],{"categories":7117},[59],{"categories":7119},[59],{"categories":7121},[124],{"categories":7123},[59],{"categories":7125},[107],{"categories":7127},[59],{"categories":7129},[59],{"categories":7131},[],{"categories":7133},[59],{"categories":7135},[59],{"categories":7137},[146],{"categories":7139},[59],{"categories":7141},[59],{"categories":7143},[107],{"categories":7145},[232],{"categories":7147},[],{"categories":7149},[],{"categories":7151},[121],{"categories":7153},[59],{"categories":7155},[59],{"categories":7157},[146],{"categories":7159},[59],{"categories":7161},[121],{"categories":7163},[146],{"categories":7165},[59],{"categories":7167},[59],{"categories":7169},[232],{"categories":7171},[124],{"categories":7173},[59],{"categories":7175},[59],{"categories":7177},[97],{"categories":7179},[107],{"categories":7181},[59],{"categories":7183},[59],{"categories":7185},[107],{"categories":7187},[102],{"categories":7189},[107],{"categories":7191},[121],{"categories":7193},[59],{"categories":7195},[102],{"categories":7197},[],{"categories":7199},[59],{"categories":7201},[124],{"categories":7203},[59],{"categories":7205},[59],{"categories":7207},[],{"categories":7209},[146],{"categories":7211},[59],{"categories":7213},[107],{"categories":7215},[124],{"categories":7217},[59],{"categories":7219},[121],{"categories":7221},[121],{"categories":7223},[121],{"categories":7225},[59],{"categories":7227},[107],{"categories":7229},[107],{"categories":7231},[59],{"categories":7233},[107],{"categories":7235},[59],{"categories":7237},[59],{"categories":7239},[201],{"categories":7241},[124],{"categories":7243},[124],{"categories":7245},[],{"categories":7247},[146],{"categories":7249},[59],{"categories":7251},[59],{"categories":7253},[121],{"categories":7255},[],{"categories":7257},[146],{"categories":7259},[146],{"categories":7261},[146],{"categories":7263},[],{"categories":7265},[107],{"categories":7267},[59],{"categories":7269},[],{"categories":7271},[97],{"categories":7273},[102],{"categories":7275},[],{"categories":7277},[59],{"categories":7279},[59],{"categories":7281},[],{"categories":7283},[121],{"categories":7285},[],{"categories":7287},[],{"categories":7289},[],{"categories":7291},[],{"categories":7293},[59],{"categories":7295},[146],{"categories":7297},[],{"categories":7299},[],{"categories":7301},[59],{"categories":7303},[59],{"categories":7305},[59],{"categories":7307},[124],{"categories":7309},[59],{"categories":7311},[124],{"categories":7313},[],{"categories":7315},[124],{"categories":7317},[124],{"categories":7319},[273],{"categories":7321},[107],{"categories":7323},[121],{"categories":7325},[],{"categories":7327},[],{"categories":7329},[124],{"categories":7331},[121],{"categories":7333},[121],{"categories":7335},[121],{"categories":7337},[],{"categories":7339},[97],{"categories":7341},[121],{"categories":7343},[121],{"categories":7345},[97],{"categories":7347},[121],{"categories":7349},[102],{"categories":7351},[121],{"categories":7353},[121],{"categories":7355},[121],{"categories":7357},[124],{"categories":7359},[146],{"categories":7361},[146],{"categories":7363},[59],{"categories":7365},[121],{"categories":7367},[124],{"categories":7369},[273],{"categories":7371},[124],{"categories":7373},[124],{"categories":7375},[124],{"categories":7377},[],{"categories":7379},[102],{"categories":7381},[],{"categories":7383},[273],{"categories":7385},[121],{"categories":7387},[121],{"categories":7389},[121],{"categories":7391},[107],{"categories":7393},[146,102],{"categories":7395},[124],{"categories":7397},[],{"categories":7399},[],{"categories":7401},[124],{"categories":7403},[],{"categories":7405},[124],{"categories":7407},[146],{"categories":7409},[107],{"categories":7411},[],{"categories":7413},[121],{"categories":7415},[59],{"categories":7417},[201],{"categories":7419},[],{"categories":7421},[59],{"categories":7423},[],{"categories":7425},[146],{"categories":7427},[97],{"categories":7429},[124],{"categories":7431},[],{"categories":7433},[121],{"categories":7435},[146],[7437,7541,7619,7688],{"id":7438,"title":7439,"ai":7440,"body":7445,"categories":7519,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":7520,"navigation":75,"path":7531,"published_at":7532,"question":60,"scraped_at":7532,"seo":7533,"sitemap":7534,"source_id":7535,"source_name":81,"source_type":82,"source_url":7525,"stem":7536,"tags":7537,"thumbnail_url":60,"tldr":7538,"tweet":60,"unknown_tags":7539,"__hash__":7540},"summaries\u002Fsummaries\u002Fe789ccd080447f06-the-agent-incident-registry-a-framework-for-preven-summary.md","The Agent Incident Registry: A Framework for Preventing AI Failures",{"provider":7,"model":8,"input_tokens":7441,"output_tokens":7442,"processing_time_ms":7443,"cost_usd":7444},4014,629,3856,0.001947,{"type":14,"value":7446,"toc":7514},[7447,7451,7454,7458,7461,7481,7484,7488,7491,7511],[17,7448,7450],{"id":7449},"the-case-for-systematic-incident-tracking","The Case for Systematic Incident Tracking",[22,7452,7453],{},"As AI agents move from experimental sandboxes to production environments, the industry faces a critical challenge: the lack of a centralized mechanism to track, categorize, and learn from agent-specific failures. Unlike traditional software, where bugs are often deterministic, AI agent failures—such as infinite loops, unauthorized tool execution, or hallucinated reasoning paths—are frequently emergent and non-obvious. The Agent Incident Registry (AIR) is proposed as a foundational framework to bridge this gap, moving the field away from siloed debugging toward a collective intelligence model for safety and reliability.",[17,7455,7457],{"id":7456},"taxonomy-of-agent-failures","Taxonomy of Agent Failures",[22,7459,7460],{},"The registry introduces a structured taxonomy to classify incidents, which allows for more effective root-cause analysis. By standardizing the reporting of failures, developers can move beyond anecdotal evidence to identify patterns in agent behavior. Key dimensions for classification include:",[33,7462,7463,7469,7475],{},[36,7464,7465,7468],{},[39,7466,7467],{},"Execution Failures:"," Issues arising from tool-use, API integration, or environment interaction.",[36,7470,7471,7474],{},[39,7472,7473],{},"Reasoning Failures:"," Errors in the agent's planning process, logic, or decision-making chain.",[36,7476,7477,7480],{},[39,7478,7479],{},"Safety & Alignment Failures:"," Instances where the agent violates constraints or exhibits unintended behavior.",[22,7482,7483],{},"By mapping these failures to specific architectural patterns, the registry helps the community identify which agent frameworks or prompting strategies are most prone to specific categories of error.",[17,7485,7487],{"id":7486},"collective-learning-and-prevention","Collective Learning and Prevention",[22,7489,7490],{},"The primary goal of the AIR is to shift the development lifecycle from reactive patching to proactive prevention. By providing a public, searchable database of incident reports, the framework enables:",[33,7492,7493,7499,7505],{},[36,7494,7495,7498],{},[39,7496,7497],{},"Benchmarking:"," Developers can test new agent architectures against known failure modes to ensure they have addressed common pitfalls.",[36,7500,7501,7504],{},[39,7502,7503],{},"Best Practices:"," The registry serves as a repository for \"lessons learned,\" helping teams implement guardrails and validation layers that have proven effective in similar contexts.",[36,7506,7507,7510],{},[39,7508,7509],{},"Standardization:"," It encourages a common language for discussing agent reliability, which is essential for scaling AI systems in high-stakes domains.",[22,7512,7513],{},"Ultimately, the registry aims to treat agent failures as a shared engineering challenge rather than individual product bugs, fostering a more robust ecosystem for autonomous AI systems.",{"title":53,"searchDepth":54,"depth":54,"links":7515},[7516,7517,7518],{"id":7449,"depth":54,"text":7450},{"id":7456,"depth":54,"text":7457},{"id":7486,"depth":54,"text":7487},[59],{"content_references":7521,"triage":7527},[7522],{"type":66,"title":7523,"publisher":7524,"url":7525,"context":7526},"The Agent Incident Registry: Toward Preventing Repeated AI Agent Failures","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.11030","cited",{"relevance":7528,"novelty":72,"quality":72,"actionability":72,"composite":7529,"reasoning":7530},5,4.35,"Category: AI & LLMs. The article presents a framework for preventing AI failures, which directly addresses the audience's need for practical applications in AI development. It introduces a structured approach to incident tracking that can help developers learn from past errors, making it actionable for those building AI-powered products.","\u002Fsummaries\u002Fe789ccd080447f06-the-agent-incident-registry-a-framework-for-preven-summary","2026-09-13 03:09:05",{"title":7439,"description":53},{"loc":7531},"e789ccd080447f06","summaries\u002Fe789ccd080447f06-the-agent-incident-registry-a-framework-for-preven-summary",[85,87,86,88],"The Agent Incident Registry (AIR) proposes a standardized, community-driven database to catalog and analyze AI agent failures, enabling developers to learn from past errors and prevent recurring systemic vulnerabilities.",[88],"crBIDNAgCsu43hOXZ2uZ3JLbSjzBcM_ZTAvRM3Y3dWI",{"id":7542,"title":7543,"ai":7544,"body":7549,"categories":7600,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":7601,"navigation":75,"path":7609,"published_at":7610,"question":60,"scraped_at":7610,"seo":7611,"sitemap":7612,"source_id":7613,"source_name":81,"source_type":82,"source_url":7606,"stem":7614,"tags":7615,"thumbnail_url":60,"tldr":7616,"tweet":60,"unknown_tags":7617,"__hash__":7618},"summaries\u002Fsummaries\u002Faf6cbd9e596e831e-why-ai-agents-over-trust-unreliable-tools-summary.md","Why AI Agents Over-Trust Unreliable Tools",{"provider":7,"model":8,"input_tokens":7545,"output_tokens":7546,"processing_time_ms":7547,"cost_usd":7548},4026,598,3516,0.0019035,{"type":14,"value":7550,"toc":7595},[7551,7555,7558,7562,7565,7569,7572,7592],[17,7552,7554],{"id":7553},"the-problem-of-blind-tool-reliance","The Problem of Blind Tool Reliance",[22,7556,7557],{},"Modern AI agents are increasingly designed to interact with external tools (APIs, databases, calculators) to overcome their inherent knowledge limitations. However, research indicates a critical failure mode: agents exhibit 'tool-reliance bias.' Instead of critically evaluating the output returned by a tool, models often treat the tool's response as ground truth, even when the output is demonstrably incorrect, hallucinated, or malformed. This creates a dangerous feedback loop where the agent's reasoning process is corrupted by faulty external data.",[17,7559,7561],{"id":7560},"measuring-agent-trust","Measuring Agent Trust",[22,7563,7564],{},"The researchers developed a framework to quantify this reliance by introducing 'unreliable tools' into agent workflows. By systematically injecting errors into tool outputs—such as providing incorrect search results or faulty calculations—the study measured the rate at which agents propagated these errors into their final answers. The findings show that agents are significantly more likely to trust a tool's output than their own internal knowledge, even when the tool's response contradicts basic facts or logical consistency. This suggests that the current architecture of agentic systems lacks a robust 'skepticism layer' or verification step.",[17,7566,7568],{"id":7567},"implications-for-production-systems","Implications for Production Systems",[22,7570,7571],{},"For developers building AI-powered products, this research highlights that tool integration is not a 'set and forget' process. Relying on an agent to 'just use' an API is insufficient. The study suggests that developers must implement:",[33,7573,7574,7580,7586],{},[36,7575,7576,7579],{},[39,7577,7578],{},"Output Validation:"," Treat tool responses as untrusted user input. Implement schema validation and sanity checks before passing data back to the LLM.",[36,7581,7582,7585],{},[39,7583,7584],{},"Cross-Verification:"," Require the agent to verify critical tool outputs against a second source or its own internal reasoning before finalizing a decision.",[36,7587,7588,7591],{},[39,7589,7590],{},"Confidence Scoring:"," Design agents to assess the reliability of a tool's response and adjust their trust level accordingly.",[22,7593,7594],{},"Ultimately, the paper argues that as we move toward more autonomous agentic workflows, the bottleneck is no longer the model's capability to call a tool, but its inability to critically evaluate the results of those calls.",{"title":53,"searchDepth":54,"depth":54,"links":7596},[7597,7598,7599],{"id":7553,"depth":54,"text":7554},{"id":7560,"depth":54,"text":7561},{"id":7567,"depth":54,"text":7568},[59],{"content_references":7602,"triage":7607},[7603],{"type":66,"title":7604,"author":7605,"url":7606,"context":69},"Agents Trust Tools Too Much: Measuring Reliance on Unreliable Tools","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.05587",{"relevance":7528,"novelty":72,"quality":72,"actionability":72,"composite":7529,"reasoning":7608},"Category: AI & LLMs. The article directly addresses the issue of tool-reliance bias in AI agents, which is a critical concern for developers integrating AI into products. It provides actionable strategies like output validation and cross-verification that developers can implement to enhance the reliability of their AI systems.","\u002Fsummaries\u002Faf6cbd9e596e831e-why-ai-agents-over-trust-unreliable-tools-summary","2026-09-11 03:12:24",{"title":7543,"description":53},{"loc":7609},"af6cbd9e596e831e","summaries\u002Faf6cbd9e596e831e-why-ai-agents-over-trust-unreliable-tools-summary",[85,87,86,88],"AI agents frequently fail to verify tool outputs, leading to 'tool-reliance bias' where models blindly accept incorrect data from external APIs or functions.",[88],"1yXoKXQqA5mPdHNKkZPOKBCbJaPlN6UXHNuuc_V6nZg",{"id":7620,"title":7621,"ai":7622,"body":7627,"categories":7670,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":7671,"navigation":75,"path":7678,"published_at":7679,"question":60,"scraped_at":7679,"seo":7680,"sitemap":7681,"source_id":7682,"source_name":81,"source_type":82,"source_url":7675,"stem":7683,"tags":7684,"thumbnail_url":60,"tldr":7685,"tweet":60,"unknown_tags":7686,"__hash__":7687},"summaries\u002Fsummaries\u002Fb90d0560a9f9a6a0-budget-aware-online-adaptation-for-web-agents-summary.md","Budget-Aware Online Adaptation for Web Agents",{"provider":7,"model":8,"input_tokens":7623,"output_tokens":7624,"processing_time_ms":7625,"cost_usd":7626},4020,541,3121,0.0018165,{"type":14,"value":7628,"toc":7665},[7629,7633,7636,7640,7643,7658,7662],[17,7630,7632],{"id":7631},"optimizing-agent-adaptation-costs","Optimizing Agent Adaptation Costs",[22,7634,7635],{},"Web agents often struggle with domain-specific tasks or evolving website structures, necessitating frequent adaptation. However, continuous fine-tuning or extensive in-context learning is computationally expensive and often inefficient. This research proposes a budget-aware framework that addresses the fundamental trade-off between the cost of teaching (updating the agent) and the performance benefits gained during task execution.",[17,7637,7639],{"id":7638},"the-when-and-what-of-agent-training","The 'When' and 'What' of Agent Training",[22,7641,7642],{},"The core contribution is a decision-making mechanism that determines two critical factors:",[7644,7645,7646,7652],"ol",{},[36,7647,7648,7651],{},[39,7649,7650],{},"When to Teach:"," Instead of updating the model after every failure or interaction, the system evaluates the potential return on investment (ROI) of an update. It monitors performance degradation and only triggers adaptation when the projected improvement in success rate outweighs the computational cost of the update.",[36,7653,7654,7657],{},[39,7655,7656],{},"What to Teach:"," The framework filters the data used for adaptation. Rather than feeding the entire interaction history back into the model, it identifies high-value transitions—specifically those where the agent failed due to novel or complex UI patterns—and prioritizes these for training. This selective approach prevents model drift and reduces the noise introduced by redundant or trivial examples.",[17,7659,7661],{"id":7660},"practical-implications-for-ai-engineering","Practical Implications for AI Engineering",[22,7663,7664],{},"By implementing this budget-aware approach, developers can maintain high-performing web agents without the overhead of constant, full-scale fine-tuning. The strategy effectively treats 'teaching' as a scarce resource, ensuring that compute budget is allocated only to the most impactful learning opportunities. This is particularly relevant for production environments where latency and API costs are primary constraints, allowing for a more sustainable lifecycle for autonomous web-based agents.",{"title":53,"searchDepth":54,"depth":54,"links":7666},[7667,7668,7669],{"id":7631,"depth":54,"text":7632},{"id":7638,"depth":54,"text":7639},{"id":7660,"depth":54,"text":7661},[59],{"content_references":7672,"triage":7676},[7673],{"type":66,"title":7674,"url":7675,"context":69},"When and What to Teach: Budget-Aware Online Adaptation for Web Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.05513",{"relevance":7528,"novelty":72,"quality":72,"actionability":72,"composite":7529,"reasoning":7677},"Category: AI & LLMs. The article presents a novel framework for optimizing web agent performance, addressing a specific pain point of balancing adaptation costs with performance gains, which is crucial for developers building AI-powered products. It offers actionable insights on when and what to teach agents, making it relevant for practical implementation.","\u002Fsummaries\u002Fb90d0560a9f9a6a0-budget-aware-online-adaptation-for-web-agents-summary","2026-09-11 03:12:23",{"title":7621,"description":53},{"loc":7678},"b90d0560a9f9a6a0","summaries\u002Fb90d0560a9f9a6a0-budget-aware-online-adaptation-for-web-agents-summary",[85,86,87,88],"This paper introduces a framework for optimizing web agent performance by selectively teaching models only when necessary, balancing the high cost of fine-tuning against the gains in task completion accuracy.",[88],"4Ll6qbXMm9KPMqcy_NcjH9t_wunokghmIeBrWDFfMHk",{"id":7689,"title":7690,"ai":7691,"body":7695,"categories":7723,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":7724,"navigation":75,"path":7732,"published_at":7733,"question":60,"scraped_at":7733,"seo":7734,"sitemap":7735,"source_id":7736,"source_name":81,"source_type":82,"source_url":7728,"stem":7737,"tags":7738,"thumbnail_url":60,"tldr":7739,"tweet":60,"unknown_tags":7740,"__hash__":7741},"summaries\u002Fsummaries\u002Fc6c7d0db2e34f780-understanding-credit-assignment-in-multi-harness-c-summary.md","Understanding Credit Assignment in Multi-Harness Coding Agents",{"provider":7,"model":8,"input_tokens":7623,"output_tokens":7692,"processing_time_ms":7693,"cost_usd":7694},546,2740,0.001824,{"type":14,"value":7696,"toc":7718},[7697,7701,7704,7708,7711,7715],[17,7698,7700],{"id":7699},"the-challenge-of-credit-assignment-in-coding-agents","The Challenge of Credit Assignment in Coding Agents",[22,7702,7703],{},"Coding agents often struggle with credit assignment—the process of determining which specific actions or code modifications led to a successful test pass or failure. In traditional single-environment training, agents frequently overfit to the idiosyncrasies of a specific codebase or test suite. This paper explores how 'multi-harness' reinforcement learning (RL) addresses this by training agents across multiple, heterogeneous coding environments (harnesses). By exposing the agent to varied feedback loops, the model learns to prioritize generalizable coding patterns over environment-specific shortcuts.",[17,7705,7707],{"id":7706},"portability-and-generalization","Portability and Generalization",[22,7709,7710],{},"The core finding is that multi-harness training significantly enhances policy portability. When an agent is trained on a diverse set of harnesses, it develops a more robust internal representation of 'correct' code. This allows the agent to perform effectively in novel environments it has not encountered during training. The research demonstrates that this approach mitigates the 'brittleness' typical of agents trained on a single benchmark, as the multi-harness setup forces the agent to learn structural features of programming that remain consistent across different projects and languages.",[17,7712,7714],{"id":7713},"mechanisms-of-success","Mechanisms of Success",[22,7716,7717],{},"The study highlights that the performance gains are not merely due to increased data volume, but rather the structural diversity of the training tasks. By forcing the agent to reconcile feedback from different test harnesses, the RL objective effectively filters out noise. The agent learns to distinguish between actions that are universally beneficial (e.g., proper syntax, logical flow) and those that are specific to a single environment's constraints. This decoupling is essential for moving toward agents that can reliably assist in real-world software engineering tasks rather than just solving static, isolated coding puzzles.",{"title":53,"searchDepth":54,"depth":54,"links":7719},[7720,7721,7722],{"id":7699,"depth":54,"text":7700},{"id":7706,"depth":54,"text":7707},{"id":7713,"depth":54,"text":7714},[59],{"content_references":7725,"triage":7729},[7726],{"type":66,"title":7727,"url":7728,"context":7526},"What Does Multi-Harness RL Learn? Credit Assignment and Portability in Coding Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.04518",{"relevance":72,"novelty":72,"quality":72,"actionability":71,"composite":7730,"reasoning":7731},3.8,"Category: AI & LLMs. The article discusses a novel approach to improving coding agents through multi-harness reinforcement learning, addressing a specific pain point of credit assignment in AI development. It provides insights into enhancing policy portability, which is relevant for developers looking to build more robust AI-powered coding tools.","\u002Fsummaries\u002Fc6c7d0db2e34f780-understanding-credit-assignment-in-multi-harness-c-summary","2026-09-08 03:09:59",{"title":7690,"description":53},{"loc":7732},"c6c7d0db2e34f780","summaries\u002Fc6c7d0db2e34f780-understanding-credit-assignment-in-multi-harness-c-summary",[85,86,87,88],"Multi-harness reinforcement learning (RL) improves coding agent performance by decoupling credit assignment from specific environments, enabling better policy portability across diverse coding tasks.",[88],"K--fF1OsFZu1c8CmDsxaXuCkjQaQ9wRK9tjK1aY-nU4"]