[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-535d1d0eb1bf2558-belief-calibrated-optimization-improving-agentic-w-summary":3,"summaries-facets-categories":106,"summary-related-535d1d0eb1bf2558-belief-calibrated-optimization-improving-agentic-w-summary":7450},{"id":4,"title":5,"ai":6,"body":13,"categories":72,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":77,"navigation":89,"path":90,"published_at":91,"question":74,"scraped_at":91,"seo":92,"sitemap":93,"source_id":94,"source_name":95,"source_type":96,"source_url":82,"stem":97,"tags":98,"thumbnail_url":74,"tldr":103,"tweet":74,"unknown_tags":104,"__hash__":105},"summaries\u002Fsummaries\u002F535d1d0eb1bf2558-belief-calibrated-optimization-improving-agentic-w-summary.md","Belief-Calibrated Optimization: Improving Agentic World Models",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4017,634,3516,0.00195525,{"type":14,"value":15,"toc":65},"minimark",[16,21,25,29,32,35,58,62],[17,18,20],"h2",{"id":19},"the-problem-misaligned-world-models-in-agentic-systems","The Problem: Misaligned World Models in Agentic Systems",[22,23,24],"p",{},"Most current agentic frameworks rely on implicit world models—the agent's internal, static understanding of how actions lead to outcomes. When these agents face complex, multi-step optimization tasks, they often suffer from 'belief drift,' where the agent's internal simulation of the environment diverges from reality. This leads to suboptimal planning, as the agent optimizes for a predicted state that does not exist or cannot be achieved.",[17,26,28],{"id":27},"the-solution-belief-calibrated-optimization-bco","The Solution: Belief-Calibrated Optimization (BCO)",[22,30,31],{},"Belief-Calibrated Optimization (BCO) introduces an explicit, dynamic world model that acts as a feedback loop for the agent. Instead of relying solely on the LLM's pre-trained weights to predict outcomes, BCO forces the agent to maintain a 'belief state' that is continuously updated based on real-world environment feedback.",[22,33,34],{},"Key components of the BCO approach include:",[36,37,38,46,52],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Explicit Belief Representation:"," The agent maintains a formal representation of its current understanding of the environment's constraints and dynamics.",[39,47,48,51],{},[42,49,50],{},"Calibration Loop:"," After each action, the agent compares the actual observed state with its predicted state. Discrepancies trigger a recalibration of the world model, forcing the agent to adjust its future planning based on empirical evidence rather than static assumptions.",[39,53,54,57],{},[42,55,56],{},"Constraint-Aware Optimization:"," By calibrating beliefs, the agent becomes significantly better at identifying infeasible paths early, preventing the 'hallucinated trajectory' problem common in standard chain-of-thought or agentic planning methods.",[17,59,61],{"id":60},"impact-on-agentic-performance","Impact on Agentic Performance",[22,63,64],{},"By decoupling the planning process from the raw generation process and introducing an explicit calibration step, BCO allows agents to handle higher-dimensional state spaces. The research suggests that this approach is particularly effective in environments where the cost of failure is high and the environment dynamics are non-linear. Rather than simply 'guessing' the next step, the agent uses its calibrated world model to prune the search space, leading to more reliable and predictable outcomes in complex optimization scenarios.",{"title":66,"searchDepth":67,"depth":67,"links":68},"",2,[69,70,71],{"id":19,"depth":67,"text":20},{"id":27,"depth":67,"text":28},{"id":60,"depth":67,"text":61},[73],"AI & LLMs",null,"md",false,{"content_references":78,"triage":84},[79],{"type":80,"title":81,"url":82,"context":83},"paper","Belief-Calibrated Optimization: An Explicit World Model for Agentic Optimization","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.01861","cited",{"relevance":85,"novelty":86,"quality":86,"actionability":67,"composite":87,"reasoning":88},3,4,3.25,"Category: AI & LLMs. The article discusses a novel approach to improving agentic decision-making through Belief-Calibrated Optimization, which addresses a specific pain point of misaligned world models in AI systems. However, while it presents new insights, it lacks practical applications or frameworks that the audience can directly implement.",true,"\u002Fsummaries\u002F535d1d0eb1bf2558-belief-calibrated-optimization-improving-agentic-w-summary","2026-09-04 03:12:25",{"title":5,"description":66},{"loc":90},"535d1d0eb1bf2558","arXiv cs.AI","article","summaries\u002F535d1d0eb1bf2558-belief-calibrated-optimization-improving-agentic-w-summary",[99,100,101,102],"agents","machine-learning","research","ai-llms","Belief-Calibrated Optimization (BCO) enhances agentic decision-making by integrating an explicit world model that calibrates an agent's internal beliefs against environmental feedback, reducing hallucinated trajectories in complex optimization tasks.",[102],"kXbwlGcM2rf4rGPKSLkp9kFuVLlYGJnFnY-yDEYdFkQ",[107,109,112,114,117,119,122,125,127,129,131,133,136,139,141,143,145,147,150,152,154,156,158,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,197,199,201,203,205,207,209,211,213,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,247,249,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,281,283,285,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,394,396,398,400,402,404,406,408,410,412,414,417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,450,452,454,456,458,460,462,464,466,468,470,472,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,544,546,548,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,590,592,594,596,598,600,602,604,606,608,610,612,614,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,916,918,920,922,924,927,929,931,933,935,937,939,941,943,945,947,949,951,953,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042,7044,7046,7048,7050,7052,7054,7056,7058,7060,7062,7064,7066,7068,7070,7072,7074,7076,7078,7080,7082,7084,7086,7088,7090,7092,7094,7096,7098,7100,7102,7104,7106,7108,7110,7112,7114,7116,7118,7120,7122,7124,7126,7128,7130,7132,7134,7136,7138,7140,7142,7144,7146,7148,7150,7152,7154,7156,7158,7160,7162,7164,7166,7168,7170,7172,7174,7176,7178,7180,7182,7184,7186,7188,7190,7192,7194,7196,7198,7200,7202,7204,7206,7208,7210,7212,7214,7216,7218,7220,7222,7224,7226,7228,7230,7232,7234,7236,7238,7240,7242,7244,7246,7248,7250,7252,7254,7256,7258,7260,7262,7264,7266,7268,7270,7272,7274,7276,7278,7280,7282,7284,7286,7288,7290,7292,7294,7296,7298,7300,7302,7304,7306,7308,7310,7312,7314,7316,7318,7320,7322,7324,7326,7328,7330,7332,7334,7336,7338,7340,7342,7344,7346,7348,7350,7352,7354,7356,7358,7360,7362,7364,7366,7368,7370,7372,7374,7376,7378,7380,7382,7384,7386,7388,7390,7392,7394,7396,7398,7400,7402,7404,7406,7408,7410,7412,7414,7416,7418,7420,7422,7424,7426,7428,7430,7432,7434,7436,7438,7440,7442,7444,7446,7448],{"categories":108},[73],{"categories":110},[111],"Developer Productivity",{"categories":113},[73],{"categories":115},[116],"Business & SaaS",{"categories":118},[73],{"categories":120},[121],"AI Automation",{"categories":123},[124],"Product Strategy",{"categories":126},[121],{"categories":128},[73],{"categories":130},[111],{"categories":132},[121],{"categories":134},[135],"Software Engineering",{"categories":137},[138],"Data Science & Visualization",{"categories":140},[73],{"categories":142},[116],{"categories":144},[],{"categories":146},[73],{"categories":148},[149],"Inference & Serving",{"categories":151},[73],{"categories":153},[73],{"categories":155},[121],{"categories":157},[],{"categories":159},[160],"AI News & Trends",{"categories":162},[138],{"categories":164},[121],{"categories":166},[73],{"categories":168},[73],{"categories":170},[73],{"categories":172},[116],{"categories":174},[111],{"categories":176},[73],{"categories":178},[121],{"categories":180},[160],{"categories":182},[73],{"categories":184},[121],{"categories":186},[121],{"categories":188},[73],{"categories":190},[73],{"categories":192},[121],{"categories":194},[73],{"categories":196},[73],{"categories":198},[73],{"categories":200},[116],{"categories":202},[121],{"categories":204},[160],{"categories":206},[73],{"categories":208},[73],{"categories":210},[73],{"categories":212},[],{"categories":214},[215],"Design & Frontend",{"categories":217},[73],{"categories":219},[138],{"categories":221},[160],{"categories":223},[73],{"categories":225},[73],{"categories":227},[73],{"categories":229},[],{"categories":231},[73],{"categories":233},[73],{"categories":235},[121],{"categories":237},[135],{"categories":239},[73],{"categories":241},[121],{"categories":243},[73],{"categories":245},[246],"Marketing & Growth",{"categories":248},[215],{"categories":250},[73],{"categories":252},[121],{"categories":254},[73],{"categories":256},[73],{"categories":258},[135],{"categories":260},[73],{"categories":262},[],{"categories":264},[],{"categories":266},[215],{"categories":268},[73],{"categories":270},[121],{"categories":272},[111],{"categories":274},[135],{"categories":276},[121],{"categories":278},[215],{"categories":280},[124],{"categories":282},[73],{"categories":284},[135],{"categories":286},[287],"DevOps & Cloud",{"categories":289},[121],{"categories":291},[124],{"categories":293},[160],{"categories":295},[73],{"categories":297},[],{"categories":299},[73],{"categories":301},[73],{"categories":303},[73],{"categories":305},[],{"categories":307},[121],{"categories":309},[135],{"categories":311},[],{"categories":313},[135],{"categories":315},[121],{"categories":317},[73],{"categories":319},[215],{"categories":321},[322],"Governance & Standards",{"categories":324},[116],{"categories":326},[],{"categories":328},[73],{"categories":330},[],{"categories":332},[73],{"categories":334},[73],{"categories":336},[121],{"categories":338},[121],{"categories":340},[73],{"categories":342},[73],{"categories":344},[121],{"categories":346},[73],{"categories":348},[73],{"categories":350},[73],{"categories":352},[],{"categories":354},[135],{"categories":356},[],{"categories":358},[],{"categories":360},[73],{"categories":362},[135],{"categories":364},[],{"categories":366},[135],{"categories":368},[73],{"categories":370},[121],{"categories":372},[73],{"categories":374},[246],{"categories":376},[73],{"categories":378},[73],{"categories":380},[73],{"categories":382},[215],{"categories":384},[215],{"categories":386},[73],{"categories":388},[135],{"categories":390},[121],{"categories":392},[393],"GovTech & Public-Sector Adoption",{"categories":395},[135],{"categories":397},[73],{"categories":399},[73],{"categories":401},[73],{"categories":403},[121],{"categories":405},[121],{"categories":407},[138],{"categories":409},[73],{"categories":411},[160],{"categories":413},[121],{"categories":415},[416],"Legal AI Tools",{"categories":418},[73],{"categories":420},[121],{"categories":422},[73],{"categories":424},[246],{"categories":426},[121],{"categories":428},[124],{"categories":430},[73],{"categories":432},[135],{"categories":434},[393],{"categories":436},[],{"categories":438},[121],{"categories":440},[],{"categories":442},[116],{"categories":444},[121],{"categories":446},[121],{"categories":448},[449],"RAG & Retrieval",{"categories":451},[116],{"categories":453},[73],{"categories":455},[135],{"categories":457},[135],{"categories":459},[287],{"categories":461},[215],{"categories":463},[121],{"categories":465},[73],{"categories":467},[73],{"categories":469},[],{"categories":471},[121],{"categories":473},[474],"Agents & Orchestration",{"categories":476},[135],{"categories":478},[73],{"categories":480},[],{"categories":482},[121],{"categories":484},[116],{"categories":486},[],{"categories":488},[73],{"categories":490},[],{"categories":492},[73],{"categories":494},[111],{"categories":496},[135],{"categories":498},[116],{"categories":500},[73],{"categories":502},[73],{"categories":504},[73],{"categories":506},[121],{"categories":508},[73],{"categories":510},[73],{"categories":512},[160],{"categories":514},[73],{"categories":516},[],{"categories":518},[73],{"categories":520},[73],{"categories":522},[],{"categories":524},[73],{"categories":526},[135],{"categories":528},[73],{"categories":530},[121],{"categories":532},[138],{"categories":534},[],{"categories":536},[73],{"categories":538},[73],{"categories":540},[215],{"categories":542},[543],"Models & Frontier Labs",{"categories":545},[],{"categories":547},[215],{"categories":549},[550],"Regulation & Governance of AI",{"categories":552},[124],{"categories":554},[121],{"categories":556},[],{"categories":558},[73],{"categories":560},[73],{"categories":562},[121],{"categories":564},[121],{"categories":566},[160],{"categories":568},[73],{"categories":570},[116],{"categories":572},[73],{"categories":574},[121],{"categories":576},[],{"categories":578},[135],{"categories":580},[121],{"categories":582},[73],{"categories":584},[124],{"categories":586},[73],{"categories":588},[589],"AI Policy & Regulation",{"categories":591},[],{"categories":593},[73],{"categories":595},[121],{"categories":597},[121],{"categories":599},[124],{"categories":601},[121],{"categories":603},[73],{"categories":605},[73],{"categories":607},[73],{"categories":609},[121],{"categories":611},[],{"categories":613},[138],{"categories":615},[616],"Evals & Reliability",{"categories":618},[73],{"categories":620},[73],{"categories":622},[],{"categories":624},[138],{"categories":626},[111],{"categories":628},[393],{"categories":630},[589],{"categories":632},[73],{"categories":634},[116],{"categories":636},[73],{"categories":638},[121],{"categories":640},[73],{"categories":642},[121],{"categories":644},[474],{"categories":646},[73],{"categories":648},[135],{"categories":650},[73],{"categories":652},[73],{"categories":654},[],{"categories":656},[215],{"categories":658},[],{"categories":660},[73],{"categories":662},[393],{"categories":664},[73],{"categories":666},[73],{"categories":668},[73],{"categories":670},[],{"categories":672},[73],{"categories":674},[215],{"categories":676},[135],{"categories":678},[],{"categories":680},[73],{"categories":682},[],{"categories":684},[121],{"categories":686},[73],{"categories":688},[215],{"categories":690},[],{"categories":692},[73],{"categories":694},[73],{"categories":696},[138],{"categories":698},[121],{"categories":700},[73],{"categories":702},[116],{"categories":704},[121],{"categories":706},[73],{"categories":708},[73],{"categories":710},[135],{"categories":712},[215],{"categories":714},[73],{"categories":716},[121],{"categories":718},[],{"categories":720},[135],{"categories":722},[121],{"categories":724},[138],{"categories":726},[],{"categories":728},[73],{"categories":730},[160],{"categories":732},[73],{"categories":734},[],{"categories":736},[73],{"categories":738},[73],{"categories":740},[73],{"categories":742},[116,246],{"categories":744},[],{"categories":746},[135],{"categories":748},[73],{"categories":750},[73],{"categories":752},[121],{"categories":754},[73],{"categories":756},[73],{"categories":758},[],{"categories":760},[],{"categories":762},[73],{"categories":764},[215],{"categories":766},[73],{"categories":768},[],{"categories":770},[73],{"categories":772},[287],{"categories":774},[],{"categories":776},[121],{"categories":778},[160],{"categories":780},[73],{"categories":782},[116],{"categories":784},[73],{"categories":786},[135],{"categories":788},[215],{"categories":790},[],{"categories":792},[160],{"categories":794},[73],{"categories":796},[149],{"categories":798},[73],{"categories":800},[73],{"categories":802},[121],{"categories":804},[160],{"categories":806},[543],{"categories":808},[73],{"categories":810},[246],{"categories":812},[],{"categories":814},[121],{"categories":816},[116],{"categories":818},[135],{"categories":820},[73],{"categories":822},[121],{"categories":824},[],{"categories":826},[73,287],{"categories":828},[73],{"categories":830},[73],{"categories":832},[73],{"categories":834},[121],{"categories":836},[73,135],{"categories":838},[138],{"categories":840},[73],{"categories":842},[73],{"categories":844},[73],{"categories":846},[135],{"categories":848},[73],{"categories":850},[121],{"categories":852},[121],{"categories":854},[589],{"categories":856},[246],{"categories":858},[73],{"categories":860},[121],{"categories":862},[73],{"categories":864},[73],{"categories":866},[121],{"categories":868},[],{"categories":870},[121],{"categories":872},[73],{"categories":874},[73],{"categories":876},[121],{"categories":878},[73],{"categories":880},[73,116],{"categories":882},[73],{"categories":884},[116],{"categories":886},[],{"categories":888},[215],{"categories":890},[215],{"categories":892},[73],{"categories":894},[],{"categories":896},[],{"categories":898},[73],{"categories":900},[160],{"categories":902},[],{"categories":904},[111],{"categories":906},[73],{"categories":908},[135],{"categories":910},[121],{"categories":912},[73],{"categories":914},[915],"Generative UI & Design-to-Code",{"categories":917},[73],{"categories":919},[73],{"categories":921},[215],{"categories":923},[73],{"categories":925},[926],"Algorithmic Accountability",{"categories":928},[121],{"categories":930},[135],{"categories":932},[160],{"categories":934},[215],{"categories":936},[73],{"categories":938},[],{"categories":940},[124],{"categories":942},[73],{"categories":944},[73],{"categories":946},[73],{"categories":948},[73],{"categories":950},[73],{"categories":952},[121],{"categories":954},[955],"MLOps & Infrastructure",{"categories":957},[73],{"categories":959},[73],{"categories":961},[73],{"categories":963},[73],{"categories":965},[73],{"categories":967},[135],{"categories":969},[160],{"categories":971},[73],{"categories":973},[73],{"categories":975},[124],{"categories":977},[111],{"categories":979},[73],{"categories":981},[121],{"categories":983},[287],{"categories":985},[73],{"categories":987},[116],{"categories":989},[73],{"categories":991},[215],{"categories":993},[73],{"categories":995},[124],{"categories":997},[73],{"categories":999},[121],{"categories":1001},[],{"categories":1003},[],{"categories":1005},[73],{"categories":1007},[149],{"categories":1009},[215],{"categories":1011},[160],{"categories":1013},[138],{"categories":1015},[],{"categories":1017},[73],{"categories":1019},[73],{"categories":1021},[116],{"categories":1023},[121],{"categories":1025},[73],{"categories":1027},[73],{"categories":1029},[73],{"categories":1031},[73],{"categories":1033},[73],{"categories":1035},[160],{"categories":1037},[149],{"categories":1039},[73],{"categories":1041},[215],{"categories":1043},[73],{"categories":1045},[],{"categories":1047},[121],{"categories":1049},[135],{"categories":1051},[],{"categories":1053},[73],{"categories":1055},[73],{"categories":1057},[121],{"categories":1059},[135],{"categories":1061},[73],{"categories":1063},[138],{"categories":1065},[215],{"categories":1067},[],{"categories":1069},[73],{"categories":1071},[],{"categories":1073},[73],{"categories":1075},[],{"categories":1077},[73],{"categories":1079},[73],{"categories":1081},[124],{"categories":1083},[116],{"categories":1085},[121],{"categories":1087},[121],{"categories":1089},[],{"categories":1091},[73],{"categories":1093},[111],{"categories":1095},[73],{"categories":1097},[73],{"categories":1099},[116],{"categories":1101},[160],{"categories":1103},[111],{"categories":1105},[],{"categories":1107},[73],{"categories":1109},[],{"categories":1111},[73],{"categories":1113},[],{"categories":1115},[73],{"categories":1117},[160],{"categories":1119},[160],{"categories":1121},[],{"categories":1123},[474],{"categories":1125},[73],{"categories":1127},[215],{"categories":1129},[135],{"categories":1131},[],{"categories":1133},[416],{"categories":1135},[121],{"categories":1137},[116],{"categories":1139},[],{"categories":1141},[],{"categories":1143},[111],{"categories":1145},[138],{"categories":1147},[],{"categories":1149},[246],{"categories":1151},[121],{"categories":1153},[116],{"categories":1155},[121],{"categories":1157},[73],{"categories":1159},[116],{"categories":1161},[73],{"categories":1163},[135],{"categories":1165},[],{"categories":1167},[149],{"categories":1169},[124],{"categories":1171},[73],{"categories":1173},[215],{"categories":1175},[135],{"categories":1177},[116],{"categories":1179},[73],{"categories":1181},[135],{"categories":1183},[73],{"categories":1185},[121],{"categories":1187},[116],{"categories":1189},[73],{"categories":1191},[73],{"categories":1193},[73],{"categories":1195},[73],{"categories":1197},[73],{"categories":1199},[73],{"categories":1201},[],{"categories":1203},[],{"categories":1205},[135],{"categories":1207},[138],{"categories":1209},[124],{"categories":1211},[73],{"categories":1213},[121],{"categories":1215},[135],{"categories":1217},[135],{"categories":1219},[73],{"categories":1221},[],{"categories":1223},[73],{"categories":1225},[160],{"categories":1227},[124],{"categories":1229},[124],{"categories":1231},[135],{"categories":1233},[73],{"categories":1235},[616],{"categories":1237},[287],{"categories":1239},[],{"categories":1241},[121],{"categories":1243},[73],{"categories":1245},[111],{"categories":1247},[],{"categories":1249},[111],{"categories":1251},[],{"categories":1253},[73],{"categories":1255},[73],{"categories":1257},[73],{"categories":1259},[215],{"categories":1261},[246],{"categories":1263},[124],{"categories":1265},[73],{"categories":1267},[135],{"categories":1269},[73],{"categories":1271},[121],{"categories":1273},[],{"categories":1275},[135],{"categories":1277},[73],{"categories":1279},[111],{"categories":1281},[],{"categories":1283},[116],{"categories":1285},[73],{"categories":1287},[73],{"categories":1289},[160],{"categories":1291},[73,287],{"categories":1293},[73],{"categories":1295},[1296],"Design Systems for AI",{"categories":1298},[73],{"categories":1300},[73],{"categories":1302},[160],{"categories":1304},[73],{"categories":1306},[73],{"categories":1308},[73],{"categories":1310},[116],{"categories":1312},[73],{"categories":1314},[73],{"categories":1316},[73],{"categories":1318},[],{"categories":1320},[73],{"categories":1322},[73],{"categories":1324},[116],{"categories":1326},[73],{"categories":1328},[],{"categories":1330},[121],{"categories":1332},[121],{"categories":1334},[135],{"categories":1336},[160],{"categories":1338},[135],{"categories":1340},[73],{"categories":1342},[215],{"categories":1344},[160],{"categories":1346},[138],{"categories":1348},[73],{"categories":1350},[73],{"categories":1352},[73],{"categories":1354},[73],{"categories":1356},[121],{"categories":1358},[111],{"categories":1360},[589],{"categories":1362},[73],{"categories":1364},[73],{"categories":1366},[121],{"categories":1368},[73],{"categories":1370},[135],{"categories":1372},[73],{"categories":1374},[135],{"categories":1376},[],{"categories":1378},[215],{"categories":1380},[],{"categories":1382},[73],{"categories":1384},[121],{"categories":1386},[124],{"categories":1388},[],{"categories":1390},[116],{"categories":1392},[73],{"categories":1394},[],{"categories":1396},[215],{"categories":1398},[135],{"categories":1400},[121],{"categories":1402},[135],{"categories":1404},[215],{"categories":1406},[73],{"categories":1408},[135],{"categories":1410},[73],{"categories":1412},[215],{"categories":1414},[],{"categories":1416},[],{"categories":1418},[160],{"categories":1420},[121],{"categories":1422},[121],{"categories":1424},[73],{"categories":1426},[73],{"categories":1428},[73],{"categories":1430},[73],{"categories":1432},[73],{"categories":1434},[116],{"categories":1436},[73],{"categories":1438},[73],{"categories":1440},[],{"categories":1442},[135],{"categories":1444},[135],{"categories":1446},[73],{"categories":1448},[135],{"categories":1450},[116],{"categories":1452},[],{"categories":1454},[73],{"categories":1456},[73],{"categories":1458},[215],{"categories":1460},[73],{"categories":1462},[73],{"categories":1464},[73],{"categories":1466},[121],{"categories":1468},[111],{"categories":1470},[116],{"categories":1472},[73],{"categories":1474},[121],{"categories":1476},[160],{"categories":1478},[121],{"categories":1480},[149],{"categories":1482},[246],{"categories":1484},[73],{"categories":1486},[121],{"categories":1488},[73],{"categories":1490},[73],{"categories":1492},[73],{"categories":1494},[],{"categories":1496},[215],{"categories":1498},[],{"categories":1500},[73],{"categories":1502},[73],{"categories":1504},[],{"categories":1506},[73],{"categories":1508},[135],{"categories":1510},[116],{"categories":1512},[1513],"Visual & Generative Media",{"categories":1515},[121],{"categories":1517},[],{"categories":1519},[73],{"categories":1521},[73],{"categories":1523},[135],{"categories":1525},[73],{"categories":1527},[287],{"categories":1529},[73],{"categories":1531},[138],{"categories":1533},[589],{"categories":1535},[135],{"categories":1537},[246],{"categories":1539},[73],{"categories":1541},[124],{"categories":1543},[215],{"categories":1545},[73],{"categories":1547},[73],{"categories":1549},[135],{"categories":1551},[121],{"categories":1553},[73],{"categories":1555},[],{"categories":1557},[],{"categories":1559},[121],{"categories":1561},[135],{"categories":1563},[111],{"categories":1565},[121],{"categories":1567},[543],{"categories":1569},[73],{"categories":1571},[124],{"categories":1573},[73],{"categories":1575},[116],{"categories":1577},[],{"categories":1579},[73],{"categories":1581},[124],{"categories":1583},[73],{"categories":1585},[73],{"categories":1587},[73],{"categories":1589},[124],{"categories":1591},[73],{"categories":1593},[73],{"categories":1595},[246],{"categories":1597},[73],{"categories":1599},[474],{"categories":1601},[121],{"categories":1603},[73],{"categories":1605},[121],{"categories":1607},[73],{"categories":1609},[73],{"categories":1611},[121],{"categories":1613},[73],{"categories":1615},[73],{"categories":1617},[121],{"categories":1619},[73],{"categories":1621},[215],{"categories":1623},[121],{"categories":1625},[],{"categories":1627},[121],{"categories":1629},[73],{"categories":1631},[],{"categories":1633},[287],{"categories":1635},[135],{"categories":1637},[],{"categories":1639},[543],{"categories":1641},[73],{"categories":1643},[121],{"categories":1645},[121],{"categories":1647},[73],{"categories":1649},[215,73],{"categories":1651},[111],{"categories":1653},[73],{"categories":1655},[121],{"categories":1657},[215],{"categories":1659},[],{"categories":1661},[73],{"categories":1663},[111],{"categories":1665},[73],{"categories":1667},[1668],"Medical Imaging & Radiology",{"categories":1670},[73],{"categories":1672},[73],{"categories":1674},[73],{"categories":1676},[215],{"categories":1678},[121],{"categories":1680},[135],{"categories":1682},[],{"categories":1684},[73],{"categories":1686},[73],{"categories":1688},[73],{"categories":1690},[],{"categories":1692},[],{"categories":1694},[73],{"categories":1696},[73],{"categories":1698},[474],{"categories":1700},[73],{"categories":1702},[111],{"categories":1704},[73],{"categories":1706},[73],{"categories":1708},[],{"categories":1710},[121],{"categories":1712},[73],{"categories":1714},[124],{"categories":1716},[135],{"categories":1718},[73],{"categories":1720},[121],{"categories":1722},[474],{"categories":1724},[73],{"categories":1726},[121],{"categories":1728},[73],{"categories":1730},[73],{"categories":1732},[73],{"categories":1734},[73],{"categories":1736},[215],{"categories":1738},[121],{"categories":1740},[287],{"categories":1742},[215],{"categories":1744},[116],{"categories":1746},[121],{"categories":1748},[160],{"categories":1750},[73],{"categories":1752},[73],{"categories":1754},[124],{"categories":1756},[73],{"categories":1758},[73],{"categories":1760},[73],{"categories":1762},[73],{"categories":1764},[73],{"categories":1766},[121],{"categories":1768},[73],{"categories":1770},[135],{"categories":1772},[135],{"categories":1774},[73],{"categories":1776},[124],{"categories":1778},[],{"categories":1780},[160],{"categories":1782},[],{"categories":1784},[124],{"categories":1786},[121],{"categories":1788},[73],{"categories":1790},[121],{"categories":1792},[1296],{"categories":1794},[73],{"categories":1796},[1296],{"categories":1798},[215],{"categories":1800},[73],{"categories":1802},[73],{"categories":1804},[73],{"categories":1806},[121],{"categories":1808},[135],{"categories":1810},[215],{"categories":1812},[121],{"categories":1814},[160],{"categories":1816},[],{"categories":1818},[73],{"categories":1820},[],{"categories":1822},[73],{"categories":1824},[73],{"categories":1826},[73],{"categories":1828},[73],{"categories":1830},[73],{"categories":1832},[121],{"categories":1834},[1835],"Contract Review & E-Discovery",{"categories":1837},[73],{"categories":1839},[215],{"categories":1841},[73],{"categories":1843},[111],{"categories":1845},[73],{"categories":1847},[160],{"categories":1849},[73],{"categories":1851},[73],{"categories":1853},[246],{"categories":1855},[135],{"categories":1857},[121],{"categories":1859},[73],{"categories":1861},[73],{"categories":1863},[73],{"categories":1865},[121],{"categories":1867},[121],{"categories":1869},[926],{"categories":1871},[73],{"categories":1873},[73],{"categories":1875},[121],{"categories":1877},[121],{"categories":1879},[73],{"categories":1881},[73],{"categories":1883},[73],{"categories":1885},[121],{"categories":1887},[73],{"categories":1889},[135],{"categories":1891},[73],{"categories":1893},[474],{"categories":1895},[449],{"categories":1897},[73],{"categories":1899},[121],{"categories":1901},[73],{"categories":1903},[1904],"Law-Firm Practice & Adoption",{"categories":1906},[73],{"categories":1908},[121],{"categories":1910},[215],{"categories":1912},[73],{"categories":1914},[73],{"categories":1916},[73],{"categories":1918},[],{"categories":1920},[135],{"categories":1922},[],{"categories":1924},[135],{"categories":1926},[73],{"categories":1928},[],{"categories":1930},[121],{"categories":1932},[111],{"categories":1934},[287],{"categories":1936},[73],{"categories":1938},[],{"categories":1940},[73],{"categories":1942},[111],{"categories":1944},[116],{"categories":1946},[73],{"categories":1948},[246],{"categories":1950},[73],{"categories":1952},[],{"categories":1954},[116],{"categories":1956},[121],{"categories":1958},[116],{"categories":1960},[],{"categories":1962},[73],{"categories":1964},[124],{"categories":1966},[73],{"categories":1968},[135],{"categories":1970},[],{"categories":1972},[],{"categories":1974},[],{"categories":1976},[],{"categories":1978},[73],{"categories":1980},[124],{"categories":1982},[121],{"categories":1984},[287],{"categories":1986},[73],{"categories":1988},[111],{"categories":1990},[135],{"categories":1992},[73],{"categories":1994},[73],{"categories":1996},[135],{"categories":1998},[124],{"categories":2000},[73],{"categories":2002},[73],{"categories":2004},[73],{"categories":2006},[955],{"categories":2008},[73],{"categories":2010},[135],{"categories":2012},[73],{"categories":2014},[246],{"categories":2016},[135],{"categories":2018},[116],{"categories":2020},[73],{"categories":2022},[73],{"categories":2024},[73],{"categories":2026},[215],{"categories":2028},[73],{"categories":2030},[73],{"categories":2032},[73],{"categories":2034},[73],{"categories":2036},[116],{"categories":2038},[121],{"categories":2040},[73,111],{"categories":2042},[474],{"categories":2044},[73],{"categories":2046},[73],{"categories":2048},[135],{"categories":2050},[135],{"categories":2052},[215],{"categories":2054},[121],{"categories":2056},[121],{"categories":2058},[135],{"categories":2060},[73],{"categories":2062},[121],{"categories":2064},[73],{"categories":2066},[73],{"categories":2068},[],{"categories":2070},[],{"categories":2072},[73],{"categories":2074},[138],{"categories":2076},[73],{"categories":2078},[215],{"categories":2080},[121],{"categories":2082},[],{"categories":2084},[73],{"categories":2086},[73],{"categories":2088},[135],{"categories":2090},[138],{"categories":2092},[160],{"categories":2094},[215],{"categories":2096},[73],{"categories":2098},[121],{"categories":2100},[73],{"categories":2102},[135],{"categories":2104},[],{"categories":2106},[121],{"categories":2108},[73],{"categories":2110},[73],{"categories":2112},[73],{"categories":2114},[73],{"categories":2116},[73],{"categories":2118},[],{"categories":2120},[121],{"categories":2122},[73],{"categories":2124},[73],{"categories":2126},[73],{"categories":2128},[],{"categories":2130},[121],{"categories":2132},[121],{"categories":2134},[73],{"categories":2136},[73],{"categories":2138},[116],{"categories":2140},[73],{"categories":2142},[73],{"categories":2144},[],{"categories":2146},[111],{"categories":2148},[73],{"categories":2150},[73],{"categories":2152},[73],{"categories":2154},[215],{"categories":2156},[73],{"categories":2158},[135],{"categories":2160},[73],{"categories":2162},[111],{"categories":2164},[73],{"categories":2166},[135],{"categories":2168},[246],{"categories":2170},[135],{"categories":2172},[121],{"categories":2174},[121],{"categories":2176},[73],{"categories":2178},[73],{"categories":2180},[73,215],{"categories":2182},[73],{"categories":2184},[121],{"categories":2186},[160],{"categories":2188},[73],{"categories":2190},[160],{"categories":2192},[121],{"categories":2194},[215],{"categories":2196},[73],{"categories":2198},[],{"categories":2200},[135],{"categories":2202},[287],{"categories":2204},[215],{"categories":2206},[135],{"categories":2208},[73],{"categories":2210},[124],{"categories":2212},[73],{"categories":2214},[73],{"categories":2216},[121],{"categories":2218},[],{"categories":2220},[],{"categories":2222},[73],{"categories":2224},[],{"categories":2226},[],{"categories":2228},[124],{"categories":2230},[135],{"categories":2232},[73],{"categories":2234},[73],{"categories":2236},[121],{"categories":2238},[121],{"categories":2240},[116],{"categories":2242},[121],{"categories":2244},[287],{"categories":2246},[73],{"categories":2248},[73],{"categories":2250},[73],{"categories":2252},[149],{"categories":2254},[73],{"categories":2256},[73],{"categories":2258},[73],{"categories":2260},[73],{"categories":2262},[135],{"categories":2264},[121],{"categories":2266},[73],{"categories":2268},[73],{"categories":2270},[73],{"categories":2272},[135],{"categories":2274},[416],{"categories":2276},[121],{"categories":2278},[926],{"categories":2280},[],{"categories":2282},[121],{"categories":2284},[215],{"categories":2286},[1904],{"categories":2288},[135],{"categories":2290},[],{"categories":2292},[],{"categories":2294},[73],{"categories":2296},[121],{"categories":2298},[],{"categories":2300},[],{"categories":2302},[73],{"categories":2304},[246],{"categories":2306},[73],{"categories":2308},[246],{"categories":2310},[73],{"categories":2312},[121],{"categories":2314},[73],{"categories":2316},[138],{"categories":2318},[73],{"categories":2320},[135],{"categories":2322},[124],{"categories":2324},[],{"categories":2326},[73],{"categories":2328},[73],{"categories":2330},[73],{"categories":2332},[135],{"categories":2334},[73],{"categories":2336},[1835],{"categories":2338},[73],{"categories":2340},[215],{"categories":2342},[215],{"categories":2344},[73],{"categories":2346},[121],{"categories":2348},[111],{"categories":2350},[73],{"categories":2352},[73],{"categories":2354},[73],{"categories":2356},[73],{"categories":2358},[215],{"categories":2360},[215],{"categories":2362},[121],{"categories":2364},[121],{"categories":2366},[121],{"categories":2368},[73],{"categories":2370},[73],{"categories":2372},[73],{"categories":2374},[121],{"categories":2376},[],{"categories":2378},[73],{"categories":2380},[],{"categories":2382},[2383],"Interaction & Product Design",{"categories":2385},[73],{"categories":2387},[121],{"categories":2389},[135],{"categories":2391},[322],{"categories":2393},[160],{"categories":2395},[135],{"categories":2397},[73],{"categories":2399},[73],{"categories":2401},[73],{"categories":2403},[135],{"categories":2405},[73],{"categories":2407},[111],{"categories":2409},[121],{"categories":2411},[73],{"categories":2413},[],{"categories":2415},[121],{"categories":2417},[121],{"categories":2419},[121],{"categories":2421},[],{"categories":2423},[135],{"categories":2425},[73],{"categories":2427},[121],{"categories":2429},[111],{"categories":2431},[2383],{"categories":2433},[73],{"categories":2435},[111],{"categories":2437},[111],{"categories":2439},[73],{"categories":2441},[],{"categories":2443},[73],{"categories":2445},[121],{"categories":2447},[135],{"categories":2449},[],{"categories":2451},[121],{"categories":2453},[160],{"categories":2455},[73],{"categories":2457},[121],{"categories":2459},[73],{"categories":2461},[121],{"categories":2463},[121],{"categories":2465},[73],{"categories":2467},[73],{"categories":2469},[160],{"categories":2471},[138],{"categories":2473},[73],{"categories":2475},[124],{"categories":2477},[135],{"categories":2479},[2480],"Coding Agents & Dev Productivity",{"categories":2482},[160],{"categories":2484},[215],{"categories":2486},[73],{"categories":2488},[73],{"categories":2490},[],{"categories":2492},[73],{"categories":2494},[926],{"categories":2496},[],{"categories":2498},[73],{"categories":2500},[73],{"categories":2502},[287],{"categories":2504},[73],{"categories":2506},[160],{"categories":2508},[],{"categories":2510},[],{"categories":2512},[73],{"categories":2514},[],{"categories":2516},[121],{"categories":2518},[73],{"categories":2520},[121],{"categories":2522},[],{"categories":2524},[135],{"categories":2526},[135],{"categories":2528},[73],{"categories":2530},[138],{"categories":2532},[],{"categories":2534},[73],{"categories":2536},[73],{"categories":2538},[73],{"categories":2540},[138],{"categories":2542},[135],{"categories":2544},[121],{"categories":2546},[],{"categories":2548},[],{"categories":2550},[73],{"categories":2552},[73],{"categories":2554},[73],{"categories":2556},[73],{"categories":2558},[121],{"categories":2560},[121],{"categories":2562},[393],{"categories":2564},[135],{"categories":2566},[124],{"categories":2568},[135],{"categories":2570},[121],{"categories":2572},[160],{"categories":2574},[160],{"categories":2576},[121],{"categories":2578},[121],{"categories":2580},[73],{"categories":2582},[111],{"categories":2584},[2383],{"categories":2586},[124],{"categories":2588},[73,287],{"categories":2590},[138],{"categories":2592},[],{"categories":2594},[215],{"categories":2596},[121],{"categories":2598},[135],{"categories":2600},[111],{"categories":2602},[73],{"categories":2604},[121],{"categories":2606},[2607],"The Designer's Role & Craft",{"categories":2609},[215],{"categories":2611},[],{"categories":2613},[121],{"categories":2615},[73],{"categories":2617},[121],{"categories":2619},[121],{"categories":2621},[73],{"categories":2623},[246],{"categories":2625},[73],{"categories":2627},[135],{"categories":2629},[121],{"categories":2631},[73],{"categories":2633},[215],{"categories":2635},[73],{"categories":2637},[],{"categories":2639},[121],{"categories":2641},[215],{"categories":2643},[124],{"categories":2645},[73],{"categories":2647},[121],{"categories":2649},[73],{"categories":2651},[73],{"categories":2653},[2654],"AI UX Patterns",{"categories":2656},[121],{"categories":2658},[121],{"categories":2660},[121],{"categories":2662},[73],{"categories":2664},[121],{"categories":2666},[246],{"categories":2668},[138],{"categories":2670},[73],{"categories":2672},[121],{"categories":2674},[73],{"categories":2676},[1296],{"categories":2678},[],{"categories":2680},[246],{"categories":2682},[121],{"categories":2684},[160],{"categories":2686},[135],{"categories":2688},[73],{"categories":2690},[121],{"categories":2692},[],{"categories":2694},[],{"categories":2696},[73],{"categories":2698},[73],{"categories":2700},[121],{"categories":2702},[73],{"categories":2704},[121],{"categories":2706},[393],{"categories":2708},[215],{"categories":2710},[73],{"categories":2712},[160],{"categories":2714},[135],{"categories":2716},[73],{"categories":2718},[121],{"categories":2720},[121],{"categories":2722},[],{"categories":2724},[73],{"categories":2726},[],{"categories":2728},[73],{"categories":2730},[],{"categories":2732},[73],{"categories":2734},[73],{"categories":2736},[73],{"categories":2738},[121],{"categories":2740},[135],{"categories":2742},[],{"categories":2744},[],{"categories":2746},[138],{"categories":2748},[149],{"categories":2750},[73],{"categories":2752},[73],{"categories":2754},[73],{"categories":2756},[138],{"categories":2758},[138],{"categories":2760},[73],{"categories":2762},[73],{"categories":2764},[160],{"categories":2766},[73],{"categories":2768},[73],{"categories":2770},[73],{"categories":2772},[121],{"categories":2774},[73],{"categories":2776},[121],{"categories":2778},[73],{"categories":2780},[73],{"categories":2782},[73],{"categories":2784},[121],{"categories":2786},[],{"categories":2788},[73],{"categories":2790},[],{"categories":2792},[73],{"categories":2794},[73],{"categories":2796},[287],{"categories":2798},[73],{"categories":2800},[],{"categories":2802},[],{"categories":2804},[215],{"categories":2806},[955],{"categories":2808},[121],{"categories":2810},[111],{"categories":2812},[2607],{"categories":2814},[],{"categories":2816},[],{"categories":2818},[73],{"categories":2820},[],{"categories":2822},[],{"categories":2824},[135],{"categories":2826},[160],{"categories":2828},[246],{"categories":2830},[121],{"categories":2832},[116],{"categories":2834},[73],{"categories":2836},[73],{"categories":2838},[116],{"categories":2840},[],{"categories":2842},[215],{"categories":2844},[124],{"categories":2846},[73],{"categories":2848},[73],{"categories":2850},[121],{"categories":2852},[116],{"categories":2854},[73],{"categories":2856},[73],{"categories":2858},[111],{"categories":2860},[73],{"categories":2862},[73],{"categories":2864},[],{"categories":2866},[111],{"categories":2868},[73],{"categories":2870},[246],{"categories":2872},[121],{"categories":2874},[160],{"categories":2876},[73],{"categories":2878},[135],{"categories":2880},[73],{"categories":2882},[73],{"categories":2884},[73],{"categories":2886},[73],{"categories":2888},[116],{"categories":2890},[73],{"categories":2892},[73],{"categories":2894},[73],{"categories":2896},[121],{"categories":2898},[73],{"categories":2900},[73],{"categories":2902},[],{"categories":2904},[73],{"categories":2906},[135],{"categories":2908},[111],{"categories":2910},[73],{"categories":2912},[73],{"categories":2914},[215],{"categories":2916},[73],{"categories":2918},[],{"categories":2920},[73],{"categories":2922},[474],{"categories":2924},[121],{"categories":2926},[116],{"categories":2928},[160],{"categories":2930},[73],{"categories":2932},[73],{"categories":2934},[],{"categories":2936},[116],{"categories":2938},[116],{"categories":2940},[73],{"categories":2942},[73],{"categories":2944},[124],{"categories":2946},[73],{"categories":2948},[73],{"categories":2950},[73],{"categories":2952},[73],{"categories":2954},[135],{"categories":2956},[138],{"categories":2958},[135],{"categories":2960},[73],{"categories":2962},[],{"categories":2964},[73],{"categories":2966},[135],{"categories":2968},[73],{"categories":2970},[135],{"categories":2972},[121],{"categories":2974},[589],{"categories":2976},[],{"categories":2978},[],{"categories":2980},[73],{"categories":2982},[160],{"categories":2984},[],{"categories":2986},[287],{"categories":2988},[73],{"categories":2990},[73],{"categories":2992},[73],{"categories":2994},[215],{"categories":2996},[915],{"categories":2998},[],{"categories":3000},[73],{"categories":3002},[73],{"categories":3004},[73],{"categories":3006},[135],{"categories":3008},[73],{"categories":3010},[73],{"categories":3012},[73],{"categories":3014},[73,287],{"categories":3016},[73],{"categories":3018},[73],{"categories":3020},[215],{"categories":3022},[121],{"categories":3024},[],{"categories":3026},[121],{"categories":3028},[121],{"categories":3030},[73],{"categories":3032},[73],{"categories":3034},[73],{"categories":3036},[73],{"categories":3038},[138],{"categories":3040},[73],{"categories":3042},[2654],{"categories":3044},[111],{"categories":3046},[73],{"categories":3048},[138],{"categories":3050},[111],{"categories":3052},[135],{"categories":3054},[215],{"categories":3056},[121],{"categories":3058},[73],{"categories":3060},[],{"categories":3062},[116],{"categories":3064},[73],{"categories":3066},[73],{"categories":3068},[160],{"categories":3070},[73],{"categories":3072},[73],{"categories":3074},[73],{"categories":3076},[121],{"categories":3078},[73],{"categories":3080},[73],{"categories":3082},[215],{"categories":3084},[73],{"categories":3086},[116],{"categories":3088},[],{"categories":3090},[287],{"categories":3092},[73],{"categories":3094},[393],{"categories":3096},[215],{"categories":3098},[215],{"categories":3100},[135],{"categories":3102},[121],{"categories":3104},[73],{"categories":3106},[116],{"categories":3108},[160],{"categories":3110},[73],{"categories":3112},[73],{"categories":3114},[73],{"categories":3116},[215],{"categories":3118},[121],{"categories":3120},[73],{"categories":3122},[121],{"categories":3124},[73],{"categories":3126},[121],{"categories":3128},[73],{"categories":3130},[543],{"categories":3132},[73],{"categories":3134},[121],{"categories":3136},[],{"categories":3138},[73],{"categories":3140},[73],{"categories":3142},[73],{"categories":3144},[73],{"categories":3146},[],{"categories":3148},[],{"categories":3150},[73],{"categories":3152},[73],{"categories":3154},[121],{"categories":3156},[73],{"categories":3158},[73],{"categories":3160},[73],{"categories":3162},[135],{"categories":3164},[73],{"categories":3166},[73],{"categories":3168},[121],{"categories":3170},[73],{"categories":3172},[73],{"categories":3174},[73],{"categories":3176},[73],{"categories":3178},[73],{"categories":3180},[],{"categories":3182},[135],{"categories":3184},[138],{"categories":3186},[73],{"categories":3188},[121],{"categories":3190},[121],{"categories":3192},[73],{"categories":3194},[73],{"categories":3196},[],{"categories":3198},[],{"categories":3200},[73],{"categories":3202},[73],{"categories":3204},[73],{"categories":3206},[160],{"categories":3208},[138],{"categories":3210},[],{"categories":3212},[73],{"categories":3214},[215],{"categories":3216},[73],{"categories":3218},[287],{"categories":3220},[1904],{"categories":3222},[73],{"categories":3224},[160],{"categories":3226},[135],{"categories":3228},[73],{"categories":3230},[135],{"categories":3232},[135],{"categories":3234},[73],{"categories":3236},[73],{"categories":3238},[135],{"categories":3240},[160],{"categories":3242},[160],{"categories":3244},[287],{"categories":3246},[121],{"categories":3248},[],{"categories":3250},[160],{"categories":3252},[116],{"categories":3254},[73],{"categories":3256},[121],{"categories":3258},[111],{"categories":3260},[135],{"categories":3262},[73],{"categories":3264},[160],{"categories":3266},[],{"categories":3268},[73],{"categories":3270},[135],{"categories":3272},[135],{"categories":3274},[138],{"categories":3276},[73],{"categories":3278},[160],{"categories":3280},[73],{"categories":3282},[135],{"categories":3284},[121],{"categories":3286},[121],{"categories":3288},[160],{"categories":3290},[121],{"categories":3292},[287],{"categories":3294},[121],{"categories":3296},[73],{"categories":3298},[73],{"categories":3300},[73],{"categories":3302},[73],{"categories":3304},[73],{"categories":3306},[135],{"categories":3308},[73],{"categories":3310},[],{"categories":3312},[121],{"categories":3314},[116],{"categories":3316},[135],{"categories":3318},[],{"categories":3320},[],{"categories":3322},[73],{"categories":3324},[121],{"categories":3326},[73],{"categories":3328},[73],{"categories":3330},[73],{"categories":3332},[3333],"Frameworks & Tooling",{"categories":3335},[73],{"categories":3337},[73],{"categories":3339},[135],{"categories":3341},[73],{"categories":3343},[73],{"categories":3345},[],{"categories":3347},[138],{"categories":3349},[138],{"categories":3351},[73],{"categories":3353},[111],{"categories":3355},[73],{"categories":3357},[121],{"categories":3359},[73],{"categories":3361},[215],{"categories":3363},[],{"categories":3365},[1904],{"categories":3367},[73],{"categories":3369},[135],{"categories":3371},[73],{"categories":3373},[287],{"categories":3375},[287],{"categories":3377},[],{"categories":3379},[121],{"categories":3381},[121],{"categories":3383},[73],{"categories":3385},[73],{"categories":3387},[160],{"categories":3389},[121],{"categories":3391},[160],{"categories":3393},[73],{"categories":3395},[121],{"categories":3397},[],{"categories":3399},[215],{"categories":3401},[73],{"categories":3403},[73],{"categories":3405},[],{"categories":3407},[73],{"categories":3409},[121],{"categories":3411},[73],{"categories":3413},[73],{"categories":3415},[73],{"categories":3417},[],{"categories":3419},[116],{"categories":3421},[135],{"categories":3423},[73],{"categories":3425},[135],{"categories":3427},[287],{"categories":3429},[73],{"categories":3431},[73],{"categories":3433},[73],{"categories":3435},[135],{"categories":3437},[73],{"categories":3439},[116],{"categories":3441},[73],{"categories":3443},[1904],{"categories":3445},[],{"categories":3447},[121],{"categories":3449},[111],{"categories":3451},[73],{"categories":3453},[111],{"categories":3455},[73],{"categories":3457},[],{"categories":3459},[121],{"categories":3461},[73],{"categories":3463},[73],{"categories":3465},[3466],"AI Design Tooling",{"categories":3468},[215],{"categories":3470},[73],{"categories":3472},[73],{"categories":3474},[135],{"categories":3476},[215],{"categories":3478},[73],{"categories":3480},[73],{"categories":3482},[135],{"categories":3484},[121],{"categories":3486},[160],{"categories":3488},[124],{"categories":3490},[135],{"categories":3492},[73],{"categories":3494},[73],{"categories":3496},[73],{"categories":3498},[121],{"categories":3500},[73],{"categories":3502},[],{"categories":3504},[121],{"categories":3506},[73],{"categories":3508},[73],{"categories":3510},[121],{"categories":3512},[73],{"categories":3514},[73],{"categories":3516},[73],{"categories":3518},[121],{"categories":3520},[],{"categories":3522},[121],{"categories":3524},[3333],{"categories":3526},[73],{"categories":3528},[73],{"categories":3530},[121],{"categories":3532},[121],{"categories":3534},[135],{"categories":3536},[135],{"categories":3538},[73],{"categories":3540},[73],{"categories":3542},[],{"categories":3544},[135],{"categories":3546},[73],{"categories":3548},[73],{"categories":3550},[121],{"categories":3552},[116],{"categories":3554},[73],{"categories":3556},[],{"categories":3558},[73],{"categories":3560},[73],{"categories":3562},[2383],{"categories":3564},[],{"categories":3566},[73],{"categories":3568},[73],{"categories":3570},[73],{"categories":3572},[73],{"categories":3574},[215],{"categories":3576},[73],{"categories":3578},[],{"categories":3580},[73],{"categories":3582},[73],{"categories":3584},[73],{"categories":3586},[73],{"categories":3588},[246],{"categories":3590},[160],{"categories":3592},[73],{"categories":3594},[73],{"categories":3596},[1904],{"categories":3598},[73],{"categories":3600},[111],{"categories":3602},[73],{"categories":3604},[73],{"categories":3606},[138],{"categories":3608},[121],{"categories":3610},[73],{"categories":3612},[73],{"categories":3614},[160],{"categories":3616},[121],{"categories":3618},[],{"categories":3620},[73],{"categories":3622},[73],{"categories":3624},[215],{"categories":3626},[73],{"categories":3628},[246],{"categories":3630},[121],{"categories":3632},[73],{"categories":3634},[121],{"categories":3636},[73],{"categories":3638},[],{"categories":3640},[],{"categories":3642},[],{"categories":3644},[111],{"categories":3646},[160],{"categories":3648},[121],{"categories":3650},[73],{"categories":3652},[73],{"categories":3654},[73],{"categories":3656},[73],{"categories":3658},[416],{"categories":3660},[215],{"categories":3662},[121],{"categories":3664},[73],{"categories":3666},[],{"categories":3668},[121],{"categories":3670},[121],{"categories":3672},[],{"categories":3674},[73],{"categories":3676},[121],{"categories":3678},[73],{"categories":3680},[],{"categories":3682},[73],{"categories":3684},[73],{"categories":3686},[73],{"categories":3688},[160],{"categories":3690},[215],{"categories":3692},[121],{"categories":3694},[215],{"categories":3696},[121],{"categories":3698},[73],{"categories":3700},[116],{"categories":3702},[],{"categories":3704},[],{"categories":3706},[73],{"categories":3708},[73],{"categories":3710},[73],{"categories":3712},[111],{"categories":3714},[73],{"categories":3716},[121],{"categories":3718},[160],{"categories":3720},[],{"categories":3722},[215],{"categories":3724},[121],{"categories":3726},[],{"categories":3728},[135],{"categories":3730},[73],{"categories":3732},[135],{"categories":3734},[215],{"categories":3736},[135],{"categories":3738},[73],{"categories":3740},[],{"categories":3742},[73],{"categories":3744},[73],{"categories":3746},[121],{"categories":3748},[],{"categories":3750},[73],{"categories":3752},[73],{"categories":3754},[246],{"categories":3756},[73],{"categories":3758},[73],{"categories":3760},[287],{"categories":3762},[135],{"categories":3764},[73],{"categories":3766},[121],{"categories":3768},[],{"categories":3770},[73],{"categories":3772},[121],{"categories":3774},[73],{"categories":3776},[111],{"categories":3778},[543],{"categories":3780},[73],{"categories":3782},[73],{"categories":3784},[73],{"categories":3786},[121],{"categories":3788},[73],{"categories":3790},[121],{"categories":3792},[73],{"categories":3794},[73],{"categories":3796},[73],{"categories":3798},[121],{"categories":3800},[73],{"categories":3802},[73],{"categories":3804},[],{"categories":3806},[73],{"categories":3808},[111],{"categories":3810},[73],{"categories":3812},[116],{"categories":3814},[135],{"categories":3816},[215],{"categories":3818},[],{"categories":3820},[73],{"categories":3822},[],{"categories":3824},[121],{"categories":3826},[73],{"categories":3828},[121],{"categories":3830},[],{"categories":3832},[121],{"categories":3834},[73],{"categories":3836},[135],{"categories":3838},[215],{"categories":3840},[160],{"categories":3842},[73],{"categories":3844},[160],{"categories":3846},[121],{"categories":3848},[215],{"categories":3850},[73],{"categories":3852},[],{"categories":3854},[73],{"categories":3856},[149],{"categories":3858},[121],{"categories":3860},[73],{"categories":3862},[215],{"categories":3864},[160],{"categories":3866},[73],{"categories":3868},[116],{"categories":3870},[135],{"categories":3872},[73],{"categories":3874},[73],{"categories":3876},[73],{"categories":3878},[73],{"categories":3880},[73],{"categories":3882},[160],{"categories":3884},[135],{"categories":3886},[246],{"categories":3888},[],{"categories":3890},[],{"categories":3892},[138],{"categories":3894},[474],{"categories":3896},[73],{"categories":3898},[121],{"categories":3900},[73,135],{"categories":3902},[160],{"categories":3904},[73],{"categories":3906},[73],{"categories":3908},[73],{"categories":3910},[73],{"categories":3912},[73],{"categories":3914},[73],{"categories":3916},[73],{"categories":3918},[121],{"categories":3920},[73],{"categories":3922},[73],{"categories":3924},[121],{"categories":3926},[73],{"categories":3928},[73],{"categories":3930},[73],{"categories":3932},[],{"categories":3934},[73],{"categories":3936},[1296],{"categories":3938},[135],{"categories":3940},[215],{"categories":3942},[73],{"categories":3944},[73],{"categories":3946},[73],{"categories":3948},[73],{"categories":3950},[138],{"categories":3952},[121],{"categories":3954},[246],{"categories":3956},[287],{"categories":3958},[],{"categories":3960},[135],{"categories":3962},[73],{"categories":3964},[116],{"categories":3966},[121],{"categories":3968},[73],{"categories":3970},[111],{"categories":3972},[121],{"categories":3974},[73],{"categories":3976},[121],{"categories":3978},[121],{"categories":3980},[124],{"categories":3982},[135],{"categories":3984},[73],{"categories":3986},[73],{"categories":3988},[],{"categories":3990},[],{"categories":3992},[],{"categories":3994},[287],{"categories":3996},[73],{"categories":3998},[160],{"categories":4000},[73],{"categories":4002},[73],{"categories":4004},[73],{"categories":4006},[73],{"categories":4008},[135],{"categories":4010},[73],{"categories":4012},[],{"categories":4014},[73],{"categories":4016},[138],{"categories":4018},[116],{"categories":4020},[121],{"categories":4022},[73],{"categories":4024},[],{"categories":4026},[73],{"categories":4028},[121],{"categories":4030},[135],{"categories":4032},[73],{"categories":4034},[73],{"categories":4036},[73],{"categories":4038},[287],{"categories":4040},[],{"categories":4042},[215],{"categories":4044},[215],{"categories":4046},[73],{"categories":4048},[121],{"categories":4050},[],{"categories":4052},[135],{"categories":4054},[73],{"categories":4056},[215],{"categories":4058},[73],{"categories":4060},[116],{"categories":4062},[121],{"categories":4064},[73],{"categories":4066},[],{"categories":4068},[160],{"categories":4070},[73],{"categories":4072},[73],{"categories":4074},[73],{"categories":4076},[73],{"categories":4078},[215],{"categories":4080},[121],{"categories":4082},[160],{"categories":4084},[],{"categories":4086},[121],{"categories":4088},[73],{"categories":4090},[116],{"categories":4092},[121],{"categories":4094},[215],{"categories":4096},[73],{"categories":4098},[73],{"categories":4100},[73],{"categories":4102},[474],{"categories":4104},[73],{"categories":4106},[121],{"categories":4108},[],{"categories":4110},[73],{"categories":4112},[73],{"categories":4114},[287],{"categories":4116},[160],{"categories":4118},[138],{"categories":4120},[589],{"categories":4122},[138],{"categories":4124},[138],{"categories":4126},[73],{"categories":4128},[],{"categories":4130},[],{"categories":4132},[],{"categories":4134},[121],{"categories":4136},[73],{"categories":4138},[73],{"categories":4140},[121],{"categories":4142},[121],{"categories":4144},[135],{"categories":4146},[73],{"categories":4148},[449],{"categories":4150},[135],{"categories":4152},[73],{"categories":4154},[121],{"categories":4156},[73],{"categories":4158},[73],{"categories":4160},[73],{"categories":4162},[116],{"categories":4164},[73],{"categories":4166},[73],{"categories":4168},[73],{"categories":4170},[121],{"categories":4172},[73],{"categories":4174},[],{"categories":4176},[],{"categories":4178},[73],{"categories":4180},[],{"categories":4182},[73],{"categories":4184},[121],{"categories":4186},[215],{"categories":4188},[73],{"categories":4190},[73],{"categories":4192},[121],{"categories":4194},[],{"categories":4196},[121],{"categories":4198},[73],{"categories":4200},[73],{"categories":4202},[124],{"categories":4204},[73],{"categories":4206},[215],{"categories":4208},[73],{"categories":4210},[121],{"categories":4212},[116],{"categories":4214},[73],{"categories":4216},[73],{"categories":4218},[73],{"categories":4220},[246],{"categories":4222},[121],{"categories":4224},[73],{"categories":4226},[73],{"categories":4228},[915],{"categories":4230},[73],{"categories":4232},[121],{"categories":4234},[73],{"categories":4236},[135],{"categories":4238},[73],{"categories":4240},[543],{"categories":4242},[215],{"categories":4244},[],{"categories":4246},[73],{"categories":4248},[73],{"categories":4250},[160],{"categories":4252},[474],{"categories":4254},[121],{"categories":4256},[73],{"categories":4258},[],{"categories":4260},[160],{"categories":4262},[393],{"categories":4264},[121],{"categories":4266},[121],{"categories":4268},[121],{"categories":4270},[73],{"categories":4272},[73],{"categories":4274},[121],{"categories":4276},[73],{"categories":4278},[],{"categories":4280},[116],{"categories":4282},[73],{"categories":4284},[215],{"categories":4286},[116],{"categories":4288},[121],{"categories":4290},[],{"categories":4292},[135],{"categories":4294},[73],{"categories":4296},[73],{"categories":4298},[111],{"categories":4300},[73],{"categories":4302},[160],{"categories":4304},[287],{"categories":4306},[149],{"categories":4308},[121],{"categories":4310},[121],{"categories":4312},[73],{"categories":4314},[73],{"categories":4316},[121],{"categories":4318},[73],{"categories":4320},[111],{"categories":4322},[],{"categories":4324},[121],{"categories":4326},[73],{"categories":4328},[73],{"categories":4330},[73],{"categories":4332},[121],{"categories":4334},[73],{"categories":4336},[],{"categories":4338},[73],{"categories":4340},[],{"categories":4342},[215],{"categories":4344},[121],{"categories":4346},[73,116],{"categories":4348},[121],{"categories":4350},[73],{"categories":4352},[],{"categories":4354},[111],{"categories":4356},[138],{"categories":4358},[116],{"categories":4360},[73],{"categories":4362},[135],{"categories":4364},[73],{"categories":4366},[73],{"categories":4368},[121],{"categories":4370},[73],{"categories":4372},[73],{"categories":4374},[73],{"categories":4376},[160],{"categories":4378},[1296],{"categories":4380},[121],{"categories":4382},[73],{"categories":4384},[],{"categories":4386},[],{"categories":4388},[73],{"categories":4390},[121],{"categories":4392},[73],{"categories":4394},[73],{"categories":4396},[287],{"categories":4398},[],{"categories":4400},[73],{"categories":4402},[121],{"categories":4404},[149],{"categories":4406},[121],{"categories":4408},[73],{"categories":4410},[474],{"categories":4412},[],{"categories":4414},[416],{"categories":4416},[73],{"categories":4418},[121],{"categories":4420},[73],{"categories":4422},[73],{"categories":4424},[73],{"categories":4426},[246],{"categories":4428},[73],{"categories":4430},[121],{"categories":4432},[73],{"categories":4434},[138],{"categories":4436},[124],{"categories":4438},[121],{"categories":4440},[73],{"categories":4442},[474],{"categories":4444},[73],{"categories":4446},[287],{"categories":4448},[116],{"categories":4450},[],{"categories":4452},[73],{"categories":4454},[73],{"categories":4456},[246],{"categories":4458},[215],{"categories":4460},[73],{"categories":4462},[73],{"categories":4464},[73],{"categories":4466},[],{"categories":4468},[246],{"categories":4470},[160],{"categories":4472},[73],{"categories":4474},[73],{"categories":4476},[73],{"categories":4478},[589],{"categories":4480},[111],{"categories":4482},[73],{"categories":4484},[124],{"categories":4486},[73],{"categories":4488},[73],{"categories":4490},[],{"categories":4492},[],{"categories":4494},[215],{"categories":4496},[73],{"categories":4498},[73],{"categories":4500},[138],{"categories":4502},[246],{"categories":4504},[121],{"categories":4506},[73],{"categories":4508},[73],{"categories":4510},[246],{"categories":4512},[160],{"categories":4514},[73],{"categories":4516},[],{"categories":4518},[73],{"categories":4520},[73],{"categories":4522},[],{"categories":4524},[73],{"categories":4526},[73],{"categories":4528},[616],{"categories":4530},[73],{"categories":4532},[73],{"categories":4534},[121],{"categories":4536},[135],{"categories":4538},[474],{"categories":4540},[73],{"categories":4542},[116],{"categories":4544},[73],{"categories":4546},[73],{"categories":4548},[],{"categories":4550},[73,135],{"categories":4552},[160],{"categories":4554},[121],{"categories":4556},[135],{"categories":4558},[121],{"categories":4560},[955],{"categories":4562},[135],{"categories":4564},[135],{"categories":4566},[121],{"categories":4568},[73],{"categories":4570},[111],{"categories":4572},[73],{"categories":4574},[],{"categories":4576},[],{"categories":4578},[121],{"categories":4580},[73],{"categories":4582},[135],{"categories":4584},[121],{"categories":4586},[73],{"categories":4588},[111],{"categories":4590},[135],{"categories":4592},[135],{"categories":4594},[73],{"categories":4596},[246],{"categories":4598},[73],{"categories":4600},[73],{"categories":4602},[135],{"categories":4604},[73],{"categories":4606},[],{"categories":4608},[73],{"categories":4610},[73],{"categories":4612},[215,73],{"categories":4614},[287],{"categories":4616},[111],{"categories":4618},[73],{"categories":4620},[],{"categories":4622},[73],{"categories":4624},[73],{"categories":4626},[116],{"categories":4628},[73],{"categories":4630},[116],{"categories":4632},[73],{"categories":4634},[73],{"categories":4636},[393],{"categories":4638},[73],{"categories":4640},[116],{"categories":4642},[135],{"categories":4644},[138],{"categories":4646},[121],{"categories":4648},[73],{"categories":4650},[135],{"categories":4652},[73],{"categories":4654},[73],{"categories":4656},[160],{"categories":4658},[246],{"categories":4660},[215],{"categories":4662},[73],{"categories":4664},[73],{"categories":4666},[124],{"categories":4668},[73],{"categories":4670},[73],{"categories":4672},[111],{"categories":4674},[73],{"categories":4676},[121],{"categories":4678},[121],{"categories":4680},[135],{"categories":4682},[73],{"categories":4684},[160],{"categories":4686},[135],{"categories":4688},[135],{"categories":4690},[73],{"categories":4692},[73],{"categories":4694},[],{"categories":4696},[],{"categories":4698},[138],{"categories":4700},[73],{"categories":4702},[135],{"categories":4704},[73],{"categories":4706},[215],{"categories":4708},[474],{"categories":4710},[416],{"categories":4712},[393],{"categories":4714},[73],{"categories":4716},[73],{"categories":4718},[135],{"categories":4720},[73],{"categories":4722},[138],{"categories":4724},[73],{"categories":4726},[73],{"categories":4728},[73],{"categories":4730},[73],{"categories":4732},[73],{"categories":4734},[73],{"categories":4736},[73],{"categories":4738},[121],{"categories":4740},[111],{"categories":4742},[121],{"categories":4744},[73,116],{"categories":4746},[],{"categories":4748},[215],{"categories":4750},[],{"categories":4752},[124],{"categories":4754},[73],{"categories":4756},[160],{"categories":4758},[111],{"categories":4760},[73],{"categories":4762},[111],{"categories":4764},[121],{"categories":4766},[138],{"categories":4768},[121],{"categories":4770},[116],{"categories":4772},[124],{"categories":4774},[73],{"categories":4776},[121],{"categories":4778},[73],{"categories":4780},[73],{"categories":4782},[73],{"categories":4784},[116],{"categories":4786},[121],{"categories":4788},[135],{"categories":4790},[246],{"categories":4792},[73],{"categories":4794},[73],{"categories":4796},[],{"categories":4798},[160],{"categories":4800},[73],{"categories":4802},[73],{"categories":4804},[73],{"categories":4806},[73],{"categories":4808},[73],{"categories":4810},[73],{"categories":4812},[135],{"categories":4814},[160],{"categories":4816},[135],{"categories":4818},[135],{"categories":4820},[73],{"categories":4822},[73],{"categories":4824},[73],{"categories":4826},[73],{"categories":4828},[416],{"categories":4830},[73],{"categories":4832},[121],{"categories":4834},[121],{"categories":4836},[160],{"categories":4838},[73],{"categories":4840},[73],{"categories":4842},[73],{"categories":4844},[121],{"categories":4846},[73],{"categories":4848},[73],{"categories":4850},[73],{"categories":4852},[3333],{"categories":4854},[4855],"Clinical AI",{"categories":4857},[215],{"categories":4859},[73],{"categories":4861},[73],{"categories":4863},[73],{"categories":4865},[73],{"categories":4867},[287],{"categories":4869},[2654],{"categories":4871},[73],{"categories":4873},[124],{"categories":4875},[215],{"categories":4877},[73],{"categories":4879},[121],{"categories":4881},[73],{"categories":4883},[73],{"categories":4885},[160],{"categories":4887},[73],{"categories":4889},[121],{"categories":4891},[135],{"categories":4893},[246],{"categories":4895},[73],{"categories":4897},[73],{"categories":4899},[116],{"categories":4901},[73],{"categories":4903},[73],{"categories":4905},[543],{"categories":4907},[73],{"categories":4909},[],{"categories":4911},[121],{"categories":4913},[73],{"categories":4915},[135],{"categories":4917},[111],{"categories":4919},[73],{"categories":4921},[],{"categories":4923},[],{"categories":4925},[73],{"categories":4927},[],{"categories":4929},[116],{"categories":4931},[73],{"categories":4933},[73],{"categories":4935},[121],{"categories":4937},[73],{"categories":4939},[160],{"categories":4941},[160],{"categories":4943},[160],{"categories":4945},[160],{"categories":4947},[],{"categories":4949},[111],{"categories":4951},[121],{"categories":4953},[160],{"categories":4955},[73],{"categories":4957},[616],{"categories":4959},[124],{"categories":4961},[121],{"categories":4963},[73],{"categories":4965},[111],{"categories":4967},[73],{"categories":4969},[121],{"categories":4971},[73],{"categories":4973},[73],{"categories":4975},[73],{"categories":4977},[73],{"categories":4979},[73,121],{"categories":4981},[121],{"categories":4983},[287],{"categories":4985},[160],{"categories":4987},[121],{"categories":4989},[160],{"categories":4991},[121],{"categories":4993},[73],{"categories":4995},[],{"categories":4997},[160],{"categories":4999},[246],{"categories":5001},[111],{"categories":5003},[73],{"categories":5005},[73],{"categories":5007},[],{"categories":5009},[135],{"categories":5011},[],{"categories":5013},[111],{"categories":5015},[121],{"categories":5017},[160],{"categories":5019},[73],{"categories":5021},[160],{"categories":5023},[111],{"categories":5025},[160],{"categories":5027},[160],{"categories":5029},[],{"categories":5031},[116],{"categories":5033},[121],{"categories":5035},[160],{"categories":5037},[160],{"categories":5039},[160],{"categories":5041},[160],{"categories":5043},[160],{"categories":5045},[160],{"categories":5047},[160],{"categories":5049},[160],{"categories":5051},[160],{"categories":5053},[160],{"categories":5055},[138],{"categories":5057},[111],{"categories":5059},[73],{"categories":5061},[73],{"categories":5063},[121],{"categories":5065},[121],{"categories":5067},[],{"categories":5069},[73],{"categories":5071},[73,111],{"categories":5073},[],{"categories":5075},[121],{"categories":5077},[73],{"categories":5079},[160],{"categories":5081},[121],{"categories":5083},[121],{"categories":5085},[955],{"categories":5087},[73],{"categories":5089},[73],{"categories":5091},[73],{"categories":5093},[73],{"categories":5095},[124],{"categories":5097},[73],{"categories":5099},[73],{"categories":5101},[393],{"categories":5103},[73],{"categories":5105},[73],{"categories":5107},[121],{"categories":5109},[73],{"categories":5111},[73],{"categories":5113},[73],{"categories":5115},[116],{"categories":5117},[124],{"categories":5119},[121],{"categories":5121},[121],{"categories":5123},[],{"categories":5125},[121],{"categories":5127},[215],{"categories":5129},[160],{"categories":5131},[73],{"categories":5133},[],{"categories":5135},[124],{"categories":5137},[],{"categories":5139},[135],{"categories":5141},[73],{"categories":5143},[121],{"categories":5145},[215],{"categories":5147},[73],{"categories":5149},[73],{"categories":5151},[],{"categories":5153},[73],{"categories":5155},[73],{"categories":5157},[],{"categories":5159},[246],{"categories":5161},[73],{"categories":5163},[121],{"categories":5165},[],{"categories":5167},[],{"categories":5169},[160],{"categories":5171},[111],{"categories":5173},[73],{"categories":5175},[73],{"categories":5177},[116],{"categories":5179},[73],{"categories":5181},[73],{"categories":5183},[121],{"categories":5185},[73],{"categories":5187},[116],{"categories":5189},[116],{"categories":5191},[215],{"categories":5193},[],{"categories":5195},[73],{"categories":5197},[160],{"categories":5199},[],{"categories":5201},[73],{"categories":5203},[73],{"categories":5205},[215],{"categories":5207},[73],{"categories":5209},[73],{"categories":5211},[246],{"categories":5213},[73],{"categories":5215},[287],{"categories":5217},[],{"categories":5219},[121],{"categories":5221},[73],{"categories":5223},[246],{"categories":5225},[135],{"categories":5227},[],{"categories":5229},[73],{"categories":5231},[],{"categories":5233},[121],{"categories":5235},[215],{"categories":5237},[135],{"categories":5239},[],{"categories":5241},[3333],{"categories":5243},[116],{"categories":5245},[111],{"categories":5247},[73],{"categories":5249},[138],{"categories":5251},[121],{"categories":5253},[215],{"categories":5255},[73],{"categories":5257},[73],{"categories":5259},[135],{"categories":5261},[],{"categories":5263},[],{"categories":5265},[73],{"categories":5267},[111],{"categories":5269},[73],{"categories":5271},[246],{"categories":5273},[],{"categories":5275},[121],{"categories":5277},[121],{"categories":5279},[73],{"categories":5281},[121],{"categories":5283},[73],{"categories":5285},[160],{"categories":5287},[73],{"categories":5289},[135],{"categories":5291},[73],{"categories":5293},[121],{"categories":5295},[124],{"categories":5297},[73],{"categories":5299},[73],{"categories":5301},[73],{"categories":5303},[73],{"categories":5305},[121],{"categories":5307},[73],{"categories":5309},[124],{"categories":5311},[246],{"categories":5313},[160],{"categories":5315},[],{"categories":5317},[246],{"categories":5319},[73],{"categories":5321},[],{"categories":5323},[135],{"categories":5325},[121],{"categories":5327},[],{"categories":5329},[73],{"categories":5331},[73],{"categories":5333},[73],{"categories":5335},[73],{"categories":5337},[73],{"categories":5339},[121],{"categories":5341},[116],{"categories":5343},[111],{"categories":5345},[73],{"categories":5347},[73],{"categories":5349},[121],{"categories":5351},[73],{"categories":5353},[215],{"categories":5355},[135],{"categories":5357},[135],{"categories":5359},[73],{"categories":5361},[138],{"categories":5363},[121],{"categories":5365},[73],{"categories":5367},[73],{"categories":5369},[121],{"categories":5371},[73],{"categories":5373},[73],{"categories":5375},[121],{"categories":5377},[116],{"categories":5379},[73],{"categories":5381},[215],{"categories":5383},[135],{"categories":5385},[121],{"categories":5387},[73],{"categories":5389},[124],{"categories":5391},[73],{"categories":5393},[121],{"categories":5395},[73],{"categories":5397},[73],{"categories":5399},[160],{"categories":5401},[73],{"categories":5403},[],{"categories":5405},[111],{"categories":5407},[73],{"categories":5409},[73],{"categories":5411},[73],{"categories":5413},[135],{"categories":5415},[135],{"categories":5417},[73],{"categories":5419},[135],{"categories":5421},[73],{"categories":5423},[121],{"categories":5425},[73],{"categories":5427},[73],{"categories":5429},[73],{"categories":5431},[73],{"categories":5433},[73],{"categories":5435},[],{"categories":5437},[73],{"categories":5439},[215],{"categories":5441},[121],{"categories":5443},[116],{"categories":5445},[160],{"categories":5447},[73],{"categories":5449},[121],{"categories":5451},[73],{"categories":5453},[121],{"categories":5455},[73],{"categories":5457},[73],{"categories":5459},[215],{"categories":5461},[121],{"categories":5463},[73],{"categories":5465},[246],{"categories":5467},[116],{"categories":5469},[73],{"categories":5471},[138],{"categories":5473},[73],{"categories":5475},[73],{"categories":5477},[160],{"categories":5479},[73],{"categories":5481},[73],{"categories":5483},[73],{"categories":5485},[73],{"categories":5487},[121],{"categories":5489},[287],{"categories":5491},[73],{"categories":5493},[135],{"categories":5495},[121],{"categories":5497},[138],{"categories":5499},[],{"categories":5501},[121],{"categories":5503},[135],{"categories":5505},[73],{"categories":5507},[73],{"categories":5509},[73],{"categories":5511},[2480],{"categories":5513},[73],{"categories":5515},[215],{"categories":5517},[322],{"categories":5519},[73],{"categories":5521},[73],{"categories":5523},[73],{"categories":5525},[73],{"categories":5527},[73],{"categories":5529},[111],{"categories":5531},[121],{"categories":5533},[73],{"categories":5535},[73],{"categories":5537},[135],{"categories":5539},[116],{"categories":5541},[73],{"categories":5543},[135],{"categories":5545},[73],{"categories":5547},[],{"categories":5549},[121],{"categories":5551},[121],{"categories":5553},[73],{"categories":5555},[73],{"categories":5557},[73],{"categories":5559},[138],{"categories":5561},[],{"categories":5563},[160],{"categories":5565},[],{"categories":5567},[160],{"categories":5569},[73],{"categories":5571},[73],{"categories":5573},[73],{"categories":5575},[121],{"categories":5577},[73],{"categories":5579},[121],{"categories":5581},[121],{"categories":5583},[],{"categories":5585},[73],{"categories":5587},[160],{"categories":5589},[73],{"categories":5591},[],{"categories":5593},[73],{"categories":5595},[73],{"categories":5597},[],{"categories":5599},[73],{"categories":5601},[73],{"categories":5603},[215],{"categories":5605},[135],{"categories":5607},[121],{"categories":5609},[73],{"categories":5611},[73],{"categories":5613},[73],{"categories":5615},[73],{"categories":5617},[246],{"categories":5619},[73],{"categories":5621},[73],{"categories":5623},[73],{"categories":5625},[111],{"categories":5627},[73],{"categories":5629},[73],{"categories":5631},[],{"categories":5633},[73],{"categories":5635},[73],{"categories":5637},[73],{"categories":5639},[],{"categories":5641},[111],{"categories":5643},[73],{"categories":5645},[73],{"categories":5647},[73],{"categories":5649},[160],{"categories":5651},[73],{"categories":5653},[135],{"categories":5655},[124],{"categories":5657},[121],{"categories":5659},[474],{"categories":5661},[73],{"categories":5663},[73],{"categories":5665},[73],{"categories":5667},[135],{"categories":5669},[160],{"categories":5671},[215],{"categories":5673},[73],{"categories":5675},[73],{"categories":5677},[73],{"categories":5679},[73],{"categories":5681},[73],{"categories":5683},[73],{"categories":5685},[160],{"categories":5687},[73],{"categories":5689},[215],{"categories":5691},[73],{"categories":5693},[73],{"categories":5695},[160],{"categories":5697},[215],{"categories":5699},[73],{"categories":5701},[160],{"categories":5703},[73],{"categories":5705},[121],{"categories":5707},[121],{"categories":5709},[121],{"categories":5711},[135],{"categories":5713},[160],{"categories":5715},[121],{"categories":5717},[121],{"categories":5719},[73],{"categories":5721},[135],{"categories":5723},[215],{"categories":5725},[73],{"categories":5727},[73],{"categories":5729},[121],{"categories":5731},[73],{"categories":5733},[],{"categories":5735},[121],{"categories":5737},[],{"categories":5739},[73],{"categories":5741},[73],{"categories":5743},[],{"categories":5745},[],{"categories":5747},[121],{"categories":5749},[116],{"categories":5751},[121],{"categories":5753},[5754],"Liability & Ethics",{"categories":5756},[73],{"categories":5758},[73],{"categories":5760},[73],{"categories":5762},[121],{"categories":5764},[111],{"categories":5766},[121],{"categories":5768},[116],{"categories":5770},[246],{"categories":5772},[73],{"categories":5774},[121],{"categories":5776},[73],{"categories":5778},[73],{"categories":5780},[73],{"categories":5782},[],{"categories":5784},[589],{"categories":5786},[121],{"categories":5788},[],{"categories":5790},[73],{"categories":5792},[111],{"categories":5794},[121],{"categories":5796},[73],{"categories":5798},[],{"categories":5800},[121],{"categories":5802},[73],{"categories":5804},[73],{"categories":5806},[135],{"categories":5808},[73],{"categories":5810},[160],{"categories":5812},[73],{"categories":5814},[73],{"categories":5816},[124],{"categories":5818},[73],{"categories":5820},[121],{"categories":5822},[73],{"categories":5824},[73],{"categories":5826},[73],{"categories":5828},[160],{"categories":5830},[121],{"categories":5832},[135],{"categories":5834},[215],{"categories":5836},[111],{"categories":5838},[73],{"categories":5840},[73],{"categories":5842},[73],{"categories":5844},[],{"categories":5846},[121],{"categories":5848},[121],{"categories":5850},[121],{"categories":5852},[474],{"categories":5854},[215],{"categories":5856},[121],{"categories":5858},[287],{"categories":5860},[135],{"categories":5862},[160],{"categories":5864},[73],{"categories":5866},[215],{"categories":5868},[73],{"categories":5870},[111],{"categories":5872},[],{"categories":5874},[121],{"categories":5876},[73],{"categories":5878},[73],{"categories":5880},[73],{"categories":5882},[73],{"categories":5884},[121],{"categories":5886},[73],{"categories":5888},[73],{"categories":5890},[215],{"categories":5892},[121],{"categories":5894},[],{"categories":5896},[121],{"categories":5898},[124],{"categories":5900},[73],{"categories":5902},[160],{"categories":5904},[121],{"categories":5906},[116],{"categories":5908},[],{"categories":5910},[73],{"categories":5912},[73],{"categories":5914},[124],{"categories":5916},[73],{"categories":5918},[121],{"categories":5920},[160],{"categories":5922},[111],{"categories":5924},[287],{"categories":5926},[73],{"categories":5928},[73],{"categories":5930},[73],{"categories":5932},[160],{"categories":5934},[116],{"categories":5936},[73],{"categories":5938},[215],{"categories":5940},[160],{"categories":5942},[287],{"categories":5944},[73],{"categories":5946},[121],{"categories":5948},[],{"categories":5950},[543],{"categories":5952},[],{"categories":5954},[73],{"categories":5956},[287],{"categories":5958},[73],{"categories":5960},[138],{"categories":5962},[73],{"categories":5964},[121],{"categories":5966},[121],{"categories":5968},[5969],"Design News & Tools",{"categories":5971},[73],{"categories":5973},[73],{"categories":5975},[160],{"categories":5977},[73],{"categories":5979},[73],{"categories":5981},[73],{"categories":5983},[111],{"categories":5985},[121],{"categories":5987},[73],{"categories":5989},[215],{"categories":5991},[121],{"categories":5993},[121],{"categories":5995},[215],{"categories":5997},[73],{"categories":5999},[73],{"categories":6001},[73],{"categories":6003},[474],{"categories":6005},[121],{"categories":6007},[73],{"categories":6009},[73],{"categories":6011},[73],{"categories":6013},[474],{"categories":6015},[73],{"categories":6017},[246],{"categories":6019},[73],{"categories":6021},[121],{"categories":6023},[],{"categories":6025},[73],{"categories":6027},[73],{"categories":6029},[73],{"categories":6031},[160],{"categories":6033},[73],{"categories":6035},[111],{"categories":6037},[],{"categories":6039},[73],{"categories":6041},[73],{"categories":6043},[73],{"categories":6045},[135],{"categories":6047},[616],{"categories":6049},[135],{"categories":6051},[215],{"categories":6053},[73],{"categories":6055},[73,121],{"categories":6057},[246,116],{"categories":6059},[135],{"categories":6061},[73],{"categories":6063},[73],{"categories":6065},[73],{"categories":6067},[73],{"categories":6069},[],{"categories":6071},[135],{"categories":6073},[121],{"categories":6075},[73],{"categories":6077},[73],{"categories":6079},[],{"categories":6081},[73],{"categories":6083},[135],{"categories":6085},[73],{"categories":6087},[135],{"categories":6089},[73],{"categories":6091},[],{"categories":6093},[121],{"categories":6095},[73],{"categories":6097},[116],{"categories":6099},[73],{"categories":6101},[160],{"categories":6103},[73],{"categories":6105},[],{"categories":6107},[73],{"categories":6109},[121],{"categories":6111},[73],{"categories":6113},[],{"categories":6115},[215],{"categories":6117},[73],{"categories":6119},[73],{"categories":6121},[121],{"categories":6123},[73],{"categories":6125},[73],{"categories":6127},[73],{"categories":6129},[111],{"categories":6131},[73],{"categories":6133},[121],{"categories":6135},[73],{"categories":6137},[],{"categories":6139},[73],{"categories":6141},[287],{"categories":6143},[246],{"categories":6145},[116],{"categories":6147},[116],{"categories":6149},[73],{"categories":6151},[111],{"categories":6153},[111],{"categories":6155},[73],{"categories":6157},[121],{"categories":6159},[73],{"categories":6161},[73],{"categories":6163},[73],{"categories":6165},[73],{"categories":6167},[135],{"categories":6169},[73],{"categories":6171},[111],{"categories":6173},[73],{"categories":6175},[73],{"categories":6177},[121],{"categories":6179},[73],{"categories":6181},[246],{"categories":6183},[73],{"categories":6185},[160],{"categories":6187},[73],{"categories":6189},[73],{"categories":6191},[121],{"categories":6193},[124],{"categories":6195},[73],{"categories":6197},[121],{"categories":6199},[73],{"categories":6201},[121],{"categories":6203},[],{"categories":6205},[135],{"categories":6207},[],{"categories":6209},[135],{"categories":6211},[121],{"categories":6213},[111],{"categories":6215},[73],{"categories":6217},[],{"categories":6219},[138],{"categories":6221},[287],{"categories":6223},[73],{"categories":6225},[135],{"categories":6227},[73],{"categories":6229},[],{"categories":6231},[160],{"categories":6233},[121],{"categories":6235},[135],{"categories":6237},[215],{"categories":6239},[116],{"categories":6241},[73],{"categories":6243},[73],{"categories":6245},[121],{"categories":6247},[135],{"categories":6249},[121],{"categories":6251},[160],{"categories":6253},[73],{"categories":6255},[124],{"categories":6257},[111],{"categories":6259},[124],{"categories":6261},[160],{"categories":6263},[73],{"categories":6265},[135],{"categories":6267},[73],{"categories":6269},[215],{"categories":6271},[116],{"categories":6273},[73],{"categories":6275},[73],{"categories":6277},[73],{"categories":6279},[73],{"categories":6281},[73],{"categories":6283},[73],{"categories":6285},[121],{"categories":6287},[73],{"categories":6289},[73],{"categories":6291},[121],{"categories":6293},[73],{"categories":6295},[73],{"categories":6297},[111],{"categories":6299},[73],{"categories":6301},[121],{"categories":6303},[121],{"categories":6305},[215],{"categories":6307},[121],{"categories":6309},[73],{"categories":6311},[121],{"categories":6313},[73],{"categories":6315},[111],{"categories":6317},[121],{"categories":6319},[215],{"categories":6321},[],{"categories":6323},[73],{"categories":6325},[138],{"categories":6327},[474],{"categories":6329},[73],{"categories":6331},[121],{"categories":6333},[73],{"categories":6335},[73],{"categories":6337},[135],{"categories":6339},[73],{"categories":6341},[],{"categories":6343},[73],{"categories":6345},[121],{"categories":6347},[73],{"categories":6349},[246],{"categories":6351},[215],{"categories":6353},[73],{"categories":6355},[135],{"categories":6357},[73],{"categories":6359},[160],{"categories":6361},[121],{"categories":6363},[73],{"categories":6365},[246],{"categories":6367},[121],{"categories":6369},[116],{"categories":6371},[116],{"categories":6373},[73],{"categories":6375},[73],{"categories":6377},[73],{"categories":6379},[73],{"categories":6381},[73],{"categories":6383},[73],{"categories":6385},[111],{"categories":6387},[73],{"categories":6389},[],{"categories":6391},[73],{"categories":6393},[73],{"categories":6395},[121],{"categories":6397},[73],{"categories":6399},[121],{"categories":6401},[73],{"categories":6403},[73],{"categories":6405},[73],{"categories":6407},[73],{"categories":6409},[73],{"categories":6411},[73],{"categories":6413},[135],{"categories":6415},[],{"categories":6417},[111],{"categories":6419},[73],{"categories":6421},[73],{"categories":6423},[121],{"categories":6425},[121],{"categories":6427},[],{"categories":6429},[135],{"categories":6431},[135],{"categories":6433},[73],{"categories":6435},[246],{"categories":6437},[116],{"categories":6439},[215],{"categories":6441},[73],{"categories":6443},[],{"categories":6445},[73],{"categories":6447},[121],{"categories":6449},[111],{"categories":6451},[73],{"categories":6453},[73],{"categories":6455},[135],{"categories":6457},[111],{"categories":6459},[73],{"categories":6461},[73],{"categories":6463},[160],{"categories":6465},[138],{"categories":6467},[73],{"categories":6469},[160],{"categories":6471},[121],{"categories":6473},[73],{"categories":6475},[],{"categories":6477},[160],{"categories":6479},[121],{"categories":6481},[215],{"categories":6483},[138],{"categories":6485},[73],{"categories":6487},[73],{"categories":6489},[73],{"categories":6491},[],{"categories":6493},[121],{"categories":6495},[121],{"categories":6497},[121],{"categories":6499},[3333],{"categories":6501},[160],{"categories":6503},[73],{"categories":6505},[135],{"categories":6507},[73],{"categories":6509},[73],{"categories":6511},[73],{"categories":6513},[73],{"categories":6515},[73],{"categories":6517},[121],{"categories":6519},[73],{"categories":6521},[116],{"categories":6523},[73],{"categories":6525},[111],{"categories":6527},[1904],{"categories":6529},[287],{"categories":6531},[111],{"categories":6533},[],{"categories":6535},[73],{"categories":6537},[],{"categories":6539},[73],{"categories":6541},[160],{"categories":6543},[121],{"categories":6545},[215],{"categories":6547},[73],{"categories":6549},[73],{"categories":6551},[73],{"categories":6553},[73],{"categories":6555},[73],{"categories":6557},[160],{"categories":6559},[],{"categories":6561},[121],{"categories":6563},[73],{"categories":6565},[121],{"categories":6567},[121],{"categories":6569},[],{"categories":6571},[73],{"categories":6573},[],{"categories":6575},[160],{"categories":6577},[111],{"categories":6579},[73],{"categories":6581},[215],{"categories":6583},[73],{"categories":6585},[121],{"categories":6587},[160],{"categories":6589},[73],{"categories":6591},[160],{"categories":6593},[],{"categories":6595},[160],{"categories":6597},[73],{"categories":6599},[111],{"categories":6601},[121],{"categories":6603},[474],{"categories":6605},[121],{"categories":6607},[73],{"categories":6609},[],{"categories":6611},[135],{"categories":6613},[121],{"categories":6615},[124],{"categories":6617},[121],{"categories":6619},[111],{"categories":6621},[73],{"categories":6623},[73],{"categories":6625},[],{"categories":6627},[],{"categories":6629},[],{"categories":6631},[215],{"categories":6633},[73],{"categories":6635},[121],{"categories":6637},[73],{"categories":6639},[73],{"categories":6641},[],{"categories":6643},[],{"categories":6645},[],{"categories":6647},[73],{"categories":6649},[121],{"categories":6651},[215],{"categories":6653},[73],{"categories":6655},[],{"categories":6657},[121],{"categories":6659},[73],{"categories":6661},[73],{"categories":6663},[111],{"categories":6665},[],{"categories":6667},[],{"categories":6669},[73],{"categories":6671},[73],{"categories":6673},[121],{"categories":6675},[215],{"categories":6677},[73],{"categories":6679},[160],{"categories":6681},[],{"categories":6683},[73],{"categories":6685},[73],{"categories":6687},[246],{"categories":6689},[160],{"categories":6691},[246],{"categories":6693},[135],{"categories":6695},[138],{"categories":6697},[73],{"categories":6699},[73],{"categories":6701},[],{"categories":6703},[],{"categories":6705},[121],{"categories":6707},[],{"categories":6709},[73],{"categories":6711},[474],{"categories":6713},[73],{"categories":6715},[73],{"categories":6717},[73],{"categories":6719},[73],{"categories":6721},[],{"categories":6723},[121],{"categories":6725},[73],{"categories":6727},[73],{"categories":6729},[],{"categories":6731},[121],{"categories":6733},[121],{"categories":6735},[73],{"categories":6737},[160],{"categories":6739},[73],{"categories":6741},[246],{"categories":6743},[73],{"categories":6745},[121],{"categories":6747},[116],{"categories":6749},[124],{"categories":6751},[73],{"categories":6753},[73],{"categories":6755},[121],{"categories":6757},[138],{"categories":6759},[121],{"categories":6761},[121],{"categories":6763},[],{"categories":6765},[73],{"categories":6767},[121],{"categories":6769},[],{"categories":6771},[73],{"categories":6773},[],{"categories":6775},[160],{"categories":6777},[116],{"categories":6779},[],{"categories":6781},[73],{"categories":6783},[73],{"categories":6785},[73],{"categories":6787},[],{"categories":6789},[121],{"categories":6791},[215],{"categories":6793},[111],{"categories":6795},[73],{"categories":6797},[],{"categories":6799},[116],{"categories":6801},[246],{"categories":6803},[73],{"categories":6805},[135],{"categories":6807},[111],{"categories":6809},[138],{"categories":6811},[116],{"categories":6813},[135],{"categories":6815},[121],{"categories":6817},[135],{"categories":6819},[],{"categories":6821},[73],{"categories":6823},[124],{"categories":6825},[124],{"categories":6827},[73],{"categories":6829},[],{"categories":6831},[121],{"categories":6833},[121],{"categories":6835},[111],{"categories":6837},[215],{"categories":6839},[73],{"categories":6841},[111],{"categories":6843},[121],{"categories":6845},[287],{"categories":6847},[73],{"categories":6849},[73],{"categories":6851},[73],{"categories":6853},[73],{"categories":6855},[73],{"categories":6857},[111],{"categories":6859},[73],{"categories":6861},[135],{"categories":6863},[138],{"categories":6865},[121],{"categories":6867},[],{"categories":6869},[73],{"categories":6871},[73],{"categories":6873},[73],{"categories":6875},[135],{"categories":6877},[121],{"categories":6879},[160],{"categories":6881},[135],{"categories":6883},[73],{"categories":6885},[124],{"categories":6887},[],{"categories":6889},[215],{"categories":6891},[135],{"categories":6893},[160],{"categories":6895},[73],{"categories":6897},[111],{"categories":6899},[121],{"categories":6901},[73],{"categories":6903},[73],{"categories":6905},[121],{"categories":6907},[124],{"categories":6909},[73],{"categories":6911},[121],{"categories":6913},[73],{"categories":6915},[116],{"categories":6917},[73],{"categories":6919},[121],{"categories":6921},[121,287],{"categories":6923},[73],{"categories":6925},[73],{"categories":6927},[121],{"categories":6929},[135],{"categories":6931},[73],{"categories":6933},[73],{"categories":6935},[138],{"categories":6937},[121],{"categories":6939},[246],{"categories":6941},[121],{"categories":6943},[116],{"categories":6945},[],{"categories":6947},[121],{"categories":6949},[73],{"categories":6951},[116],{"categories":6953},[],{"categories":6955},[],{"categories":6957},[73],{"categories":6959},[135],{"categories":6961},[73],{"categories":6963},[73],{"categories":6965},[121],{"categories":6967},[138],{"categories":6969},[246],{"categories":6971},[73],{"categories":6973},[73],{"categories":6975},[73],{"categories":6977},[73],{"categories":6979},[121],{"categories":6981},[],{"categories":6983},[121],{"categories":6985},[160],{"categories":6987},[73],{"categories":6989},[121],{"categories":6991},[121],{"categories":6993},[73],{"categories":6995},[],{"categories":6997},[160],{"categories":6999},[135],{"categories":7001},[3333],{"categories":7003},[111],{"categories":7005},[135],{"categories":7007},[73],{"categories":7009},[121],{"categories":7011},[73],{"categories":7013},[73],{"categories":7015},[246],{"categories":7017},[135],{"categories":7019},[138],{"categories":7021},[],{"categories":7023},[160],{"categories":7025},[73],{"categories":7027},[73],{"categories":7029},[],{"categories":7031},[121],{"categories":7033},[73],{"categories":7035},[73],{"categories":7037},[73],{"categories":7039},[73],{"categories":7041},[121],{"categories":7043},[73],{"categories":7045},[73],{"categories":7047},[73],{"categories":7049},[124],{"categories":7051},[73],{"categories":7053},[121],{"categories":7055},[73],{"categories":7057},[73],{"categories":7059},[73],{"categories":7061},[73],{"categories":7063},[73],{"categories":7065},[73],{"categories":7067},[73],{"categories":7069},[116],{"categories":7071},[],{"categories":7073},[124],{"categories":7075},[73],{"categories":7077},[160],{"categories":7079},[121],{"categories":7081},[73],{"categories":7083},[135],{"categories":7085},[],{"categories":7087},[135],{"categories":7089},[135],{"categories":7091},[121],{"categories":7093},[135],{"categories":7095},[73],{"categories":7097},[73],{"categories":7099},[73],{"categories":7101},[121],{"categories":7103},[135],{"categories":7105},[73],{"categories":7107},[73],{"categories":7109},[73],{"categories":7111},[121],{"categories":7113},[160],{"categories":7115},[73],{"categories":7117},[73],{"categories":7119},[73],{"categories":7121},[116],{"categories":7123},[73],{"categories":7125},[121],{"categories":7127},[215],{"categories":7129},[],{"categories":7131},[73],{"categories":7133},[73],{"categories":7135},[138],{"categories":7137},[73],{"categories":7139},[121],{"categories":7141},[73],{"categories":7143},[73],{"categories":7145},[],{"categories":7147},[73],{"categories":7149},[73],{"categories":7151},[160],{"categories":7153},[73],{"categories":7155},[73],{"categories":7157},[121],{"categories":7159},[246],{"categories":7161},[],{"categories":7163},[],{"categories":7165},[135],{"categories":7167},[73],{"categories":7169},[73],{"categories":7171},[160],{"categories":7173},[73],{"categories":7175},[135],{"categories":7177},[160],{"categories":7179},[73],{"categories":7181},[73],{"categories":7183},[246],{"categories":7185},[138],{"categories":7187},[73],{"categories":7189},[73],{"categories":7191},[111],{"categories":7193},[121],{"categories":7195},[73],{"categories":7197},[73],{"categories":7199},[121],{"categories":7201},[116],{"categories":7203},[121],{"categories":7205},[135],{"categories":7207},[73],{"categories":7209},[116],{"categories":7211},[],{"categories":7213},[73],{"categories":7215},[138],{"categories":7217},[73],{"categories":7219},[73],{"categories":7221},[],{"categories":7223},[160],{"categories":7225},[73],{"categories":7227},[121],{"categories":7229},[138],{"categories":7231},[73],{"categories":7233},[135],{"categories":7235},[135],{"categories":7237},[135],{"categories":7239},[73],{"categories":7241},[121],{"categories":7243},[121],{"categories":7245},[73],{"categories":7247},[121],{"categories":7249},[73],{"categories":7251},[73],{"categories":7253},[215],{"categories":7255},[138],{"categories":7257},[138],{"categories":7259},[],{"categories":7261},[160],{"categories":7263},[73],{"categories":7265},[73],{"categories":7267},[135],{"categories":7269},[],{"categories":7271},[160],{"categories":7273},[160],{"categories":7275},[160],{"categories":7277},[],{"categories":7279},[121],{"categories":7281},[73],{"categories":7283},[],{"categories":7285},[111],{"categories":7287},[116],{"categories":7289},[],{"categories":7291},[73],{"categories":7293},[73],{"categories":7295},[],{"categories":7297},[135],{"categories":7299},[],{"categories":7301},[],{"categories":7303},[],{"categories":7305},[],{"categories":7307},[73],{"categories":7309},[160],{"categories":7311},[],{"categories":7313},[],{"categories":7315},[73],{"categories":7317},[73],{"categories":7319},[73],{"categories":7321},[138],{"categories":7323},[73],{"categories":7325},[138],{"categories":7327},[],{"categories":7329},[138],{"categories":7331},[138],{"categories":7333},[287],{"categories":7335},[121],{"categories":7337},[135],{"categories":7339},[],{"categories":7341},[],{"categories":7343},[138],{"categories":7345},[135],{"categories":7347},[135],{"categories":7349},[135],{"categories":7351},[],{"categories":7353},[111],{"categories":7355},[135],{"categories":7357},[135],{"categories":7359},[111],{"categories":7361},[135],{"categories":7363},[116],{"categories":7365},[135],{"categories":7367},[135],{"categories":7369},[135],{"categories":7371},[138],{"categories":7373},[160],{"categories":7375},[160],{"categories":7377},[73],{"categories":7379},[135],{"categories":7381},[138],{"categories":7383},[287],{"categories":7385},[138],{"categories":7387},[138],{"categories":7389},[138],{"categories":7391},[],{"categories":7393},[116],{"categories":7395},[],{"categories":7397},[287],{"categories":7399},[135],{"categories":7401},[135],{"categories":7403},[135],{"categories":7405},[121],{"categories":7407},[160,116],{"categories":7409},[138],{"categories":7411},[],{"categories":7413},[],{"categories":7415},[138],{"categories":7417},[],{"categories":7419},[138],{"categories":7421},[160],{"categories":7423},[121],{"categories":7425},[],{"categories":7427},[135],{"categories":7429},[73],{"categories":7431},[215],{"categories":7433},[],{"categories":7435},[73],{"categories":7437},[],{"categories":7439},[160],{"categories":7441},[111],{"categories":7443},[138],{"categories":7445},[],{"categories":7447},[135],{"categories":7449},[160],[7451,7554,7632,7701],{"id":7452,"title":7453,"ai":7454,"body":7459,"categories":7533,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":7534,"navigation":89,"path":7544,"published_at":7545,"question":74,"scraped_at":7545,"seo":7546,"sitemap":7547,"source_id":7548,"source_name":95,"source_type":96,"source_url":7539,"stem":7549,"tags":7550,"thumbnail_url":74,"tldr":7551,"tweet":74,"unknown_tags":7552,"__hash__":7553},"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":7455,"output_tokens":7456,"processing_time_ms":7457,"cost_usd":7458},4014,629,3856,0.001947,{"type":14,"value":7460,"toc":7528},[7461,7465,7468,7472,7475,7495,7498,7502,7505,7525],[17,7462,7464],{"id":7463},"the-case-for-systematic-incident-tracking","The Case for Systematic Incident Tracking",[22,7466,7467],{},"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.",[17,7469,7471],{"id":7470},"taxonomy-of-agent-failures","Taxonomy of Agent Failures",[22,7473,7474],{},"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:",[36,7476,7477,7483,7489],{},[39,7478,7479,7482],{},[42,7480,7481],{},"Execution Failures:"," Issues arising from tool-use, API integration, or environment interaction.",[39,7484,7485,7488],{},[42,7486,7487],{},"Reasoning Failures:"," Errors in the agent's planning process, logic, or decision-making chain.",[39,7490,7491,7494],{},[42,7492,7493],{},"Safety & Alignment Failures:"," Instances where the agent violates constraints or exhibits unintended behavior.",[22,7496,7497],{},"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.",[17,7499,7501],{"id":7500},"collective-learning-and-prevention","Collective Learning and Prevention",[22,7503,7504],{},"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:",[36,7506,7507,7513,7519],{},[39,7508,7509,7512],{},[42,7510,7511],{},"Benchmarking:"," Developers can test new agent architectures against known failure modes to ensure they have addressed common pitfalls.",[39,7514,7515,7518],{},[42,7516,7517],{},"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.",[39,7520,7521,7524],{},[42,7522,7523],{},"Standardization:"," It encourages a common language for discussing agent reliability, which is essential for scaling AI systems in high-stakes domains.",[22,7526,7527],{},"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":66,"searchDepth":67,"depth":67,"links":7529},[7530,7531,7532],{"id":7463,"depth":67,"text":7464},{"id":7470,"depth":67,"text":7471},{"id":7500,"depth":67,"text":7501},[73],{"content_references":7535,"triage":7540},[7536],{"type":80,"title":7537,"publisher":7538,"url":7539,"context":83},"The Agent Incident Registry: Toward Preventing Repeated AI Agent Failures","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.11030",{"relevance":7541,"novelty":86,"quality":86,"actionability":86,"composite":7542,"reasoning":7543},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":7453,"description":66},{"loc":7544},"e789ccd080447f06","summaries\u002Fe789ccd080447f06-the-agent-incident-registry-a-framework-for-preven-summary",[99,101,100,102],"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.",[102],"crBIDNAgCsu43hOXZ2uZ3JLbSjzBcM_ZTAvRM3Y3dWI",{"id":7555,"title":7556,"ai":7557,"body":7561,"categories":7612,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":7613,"navigation":89,"path":7622,"published_at":7623,"question":74,"scraped_at":7623,"seo":7624,"sitemap":7625,"source_id":7626,"source_name":95,"source_type":96,"source_url":7618,"stem":7627,"tags":7628,"thumbnail_url":74,"tldr":7629,"tweet":74,"unknown_tags":7630,"__hash__":7631},"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":7558,"output_tokens":7559,"processing_time_ms":11,"cost_usd":7560},4026,598,0.0019035,{"type":14,"value":7562,"toc":7607},[7563,7567,7570,7574,7577,7581,7584,7604],[17,7564,7566],{"id":7565},"the-problem-of-blind-tool-reliance","The Problem of Blind Tool Reliance",[22,7568,7569],{},"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.",[17,7571,7573],{"id":7572},"measuring-agent-trust","Measuring Agent Trust",[22,7575,7576],{},"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.",[17,7578,7580],{"id":7579},"implications-for-production-systems","Implications for Production Systems",[22,7582,7583],{},"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:",[36,7585,7586,7592,7598],{},[39,7587,7588,7591],{},[42,7589,7590],{},"Output Validation:"," Treat tool responses as untrusted user input. Implement schema validation and sanity checks before passing data back to the LLM.",[39,7593,7594,7597],{},[42,7595,7596],{},"Cross-Verification:"," Require the agent to verify critical tool outputs against a second source or its own internal reasoning before finalizing a decision.",[39,7599,7600,7603],{},[42,7601,7602],{},"Confidence Scoring:"," Design agents to assess the reliability of a tool's response and adjust their trust level accordingly.",[22,7605,7606],{},"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":66,"searchDepth":67,"depth":67,"links":7608},[7609,7610,7611],{"id":7565,"depth":67,"text":7566},{"id":7572,"depth":67,"text":7573},{"id":7579,"depth":67,"text":7580},[73],{"content_references":7614,"triage":7620},[7615],{"type":80,"title":7616,"author":7617,"url":7618,"context":7619},"Agents Trust Tools Too Much: Measuring Reliance on Unreliable Tools","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.05587","reviewed",{"relevance":7541,"novelty":86,"quality":86,"actionability":86,"composite":7542,"reasoning":7621},"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":7556,"description":66},{"loc":7622},"af6cbd9e596e831e","summaries\u002Faf6cbd9e596e831e-why-ai-agents-over-trust-unreliable-tools-summary",[99,101,100,102],"AI agents frequently fail to verify tool outputs, leading to 'tool-reliance bias' where models blindly accept incorrect data from external APIs or functions.",[102],"1yXoKXQqA5mPdHNKkZPOKBCbJaPlN6UXHNuuc_V6nZg",{"id":7633,"title":7634,"ai":7635,"body":7640,"categories":7683,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":7684,"navigation":89,"path":7691,"published_at":7692,"question":74,"scraped_at":7692,"seo":7693,"sitemap":7694,"source_id":7695,"source_name":95,"source_type":96,"source_url":7688,"stem":7696,"tags":7697,"thumbnail_url":74,"tldr":7698,"tweet":74,"unknown_tags":7699,"__hash__":7700},"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":7636,"output_tokens":7637,"processing_time_ms":7638,"cost_usd":7639},4020,541,3121,0.0018165,{"type":14,"value":7641,"toc":7678},[7642,7646,7649,7653,7656,7671,7675],[17,7643,7645],{"id":7644},"optimizing-agent-adaptation-costs","Optimizing Agent Adaptation Costs",[22,7647,7648],{},"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.",[17,7650,7652],{"id":7651},"the-when-and-what-of-agent-training","The 'When' and 'What' of Agent Training",[22,7654,7655],{},"The core contribution is a decision-making mechanism that determines two critical factors:",[7657,7658,7659,7665],"ol",{},[39,7660,7661,7664],{},[42,7662,7663],{},"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.",[39,7666,7667,7670],{},[42,7668,7669],{},"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.",[17,7672,7674],{"id":7673},"practical-implications-for-ai-engineering","Practical Implications for AI Engineering",[22,7676,7677],{},"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":66,"searchDepth":67,"depth":67,"links":7679},[7680,7681,7682],{"id":7644,"depth":67,"text":7645},{"id":7651,"depth":67,"text":7652},{"id":7673,"depth":67,"text":7674},[73],{"content_references":7685,"triage":7689},[7686],{"type":80,"title":7687,"url":7688,"context":7619},"When and What to Teach: Budget-Aware Online Adaptation for Web Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.05513",{"relevance":7541,"novelty":86,"quality":86,"actionability":86,"composite":7542,"reasoning":7690},"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":7634,"description":66},{"loc":7691},"b90d0560a9f9a6a0","summaries\u002Fb90d0560a9f9a6a0-budget-aware-online-adaptation-for-web-agents-summary",[99,100,101,102],"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.",[102],"4Ll6qbXMm9KPMqcy_NcjH9t_wunokghmIeBrWDFfMHk",{"id":7702,"title":7703,"ai":7704,"body":7708,"categories":7736,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":7737,"navigation":89,"path":7745,"published_at":7746,"question":74,"scraped_at":7746,"seo":7747,"sitemap":7748,"source_id":7749,"source_name":95,"source_type":96,"source_url":7741,"stem":7750,"tags":7751,"thumbnail_url":74,"tldr":7752,"tweet":74,"unknown_tags":7753,"__hash__":7754},"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":7636,"output_tokens":7705,"processing_time_ms":7706,"cost_usd":7707},546,2740,0.001824,{"type":14,"value":7709,"toc":7731},[7710,7714,7717,7721,7724,7728],[17,7711,7713],{"id":7712},"the-challenge-of-credit-assignment-in-coding-agents","The Challenge of Credit Assignment in Coding Agents",[22,7715,7716],{},"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.",[17,7718,7720],{"id":7719},"portability-and-generalization","Portability and Generalization",[22,7722,7723],{},"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.",[17,7725,7727],{"id":7726},"mechanisms-of-success","Mechanisms of Success",[22,7729,7730],{},"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":66,"searchDepth":67,"depth":67,"links":7732},[7733,7734,7735],{"id":7712,"depth":67,"text":7713},{"id":7719,"depth":67,"text":7720},{"id":7726,"depth":67,"text":7727},[73],{"content_references":7738,"triage":7742},[7739],{"type":80,"title":7740,"url":7741,"context":83},"What Does Multi-Harness RL Learn? Credit Assignment and Portability in Coding Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.04518",{"relevance":86,"novelty":86,"quality":86,"actionability":85,"composite":7743,"reasoning":7744},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":7703,"description":66},{"loc":7745},"c6c7d0db2e34f780","summaries\u002Fc6c7d0db2e34f780-understanding-credit-assignment-in-multi-harness-c-summary",[99,100,101,102],"Multi-harness reinforcement learning (RL) improves coding agent performance by decoupling credit assignment from specific environments, enabling better policy portability across diverse coding tasks.",[102],"K--fF1OsFZu1c8CmDsxaXuCkjQaQ9wRK9tjK1aY-nU4"]