[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-666668ebfa14787c-memoharness-enabling-agentic-learning-from-experie-summary":3,"summaries-facets-categories":105,"summary-related-666668ebfa14787c-memoharness-enabling-agentic-learning-from-experie-summary":6525},{"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":102,"tweet":74,"unknown_tags":103,"__hash__":104},"summaries\u002Fsummaries\u002F666668ebfa14787c-memoharness-enabling-agentic-learning-from-experie-summary.md","MemoHarness: Enabling Agentic Learning from Experience",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4020,471,2815,0.0017115,{"type":14,"value":15,"toc":65},"minimark",[16,21,25,29,32,35,58,62],[17,18,20],"h2",{"id":19},"the-problem-with-stateless-agents","The Problem with Stateless Agents",[22,23,24],"p",{},"Most current AI agent architectures are stateless by design; they rely on a fixed prompt or a set of tools to solve tasks, but they do not inherently 'learn' from their successes or failures across different sessions. This leads to repetitive errors and an inability to adapt to specific user preferences or environmental quirks over time. MemoHarness addresses this by providing a structured memory layer that allows agents to accumulate knowledge from past interactions.",[17,26,28],{"id":27},"how-memoharness-works","How MemoHarness Works",[22,30,31],{},"MemoHarness functions as a persistent harness that wraps around the agent's execution environment. It captures key trajectory data—the sequence of thoughts, actions, and outcomes—and stores them in a structured memory bank. When faced with a new task, the agent queries this memory bank to retrieve relevant 'experience snippets.'",[22,33,34],{},"By incorporating these past experiences into the current context window, the agent can:",[36,37,38,46,52],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Avoid past pitfalls:"," If a specific tool usage pattern previously failed, the agent can retrieve that failure to avoid repeating the same mistake.",[39,47,48,51],{},[42,49,50],{},"Adopt successful strategies:"," It can replicate workflows that previously led to a successful task completion.",[39,53,54,57],{},[42,55,56],{},"Personalize behavior:"," Over time, the agent builds a repository of user-specific preferences, leading to more efficient and tailored outputs.",[17,59,61],{"id":60},"implications-for-agentic-systems","Implications for Agentic Systems",[22,63,64],{},"This approach shifts the paradigm from 'prompt engineering' to 'experience engineering.' Instead of trying to write the perfect system prompt to cover every edge case, developers can focus on building robust feedback loops where the agent continuously updates its memory. This is particularly valuable for long-running autonomous agents that operate in complex, multi-step environments where trial-and-error is necessary for optimization.",{"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","MemoHarness: Agent Harnesses That Learn from Experience","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.14159","cited",{"relevance":85,"novelty":86,"quality":86,"actionability":86,"composite":87,"reasoning":88},5,4,4.35,"Category: AI & LLMs. The article introduces a novel framework for AI agents that enhances their learning capabilities, addressing a key pain point for developers working with AI systems. It provides actionable insights on how to implement a memory layer for agents, which can directly improve product outcomes.",true,"\u002Fsummaries\u002F666668ebfa14787c-memoharness-enabling-agentic-learning-from-experie-summary","2026-07-17 18:01:12",{"title":5,"description":66},{"loc":90},"666668ebfa14787c","arXiv cs.AI","article","summaries\u002F666668ebfa14787c-memoharness-enabling-agentic-learning-from-experie-summary",[99,100,101],"agents","machine-learning","ai-llms","MemoHarness introduces a framework for AI agents to store and retrieve past experiences, allowing them to improve performance over time rather than relying on static prompt instructions.",[101],"xtfScq5qLqk6D3ljtkFn328QJZSdMzyqLLmTYDN3MP0",[106,108,111,113,116,118,121,124,126,128,130,133,135,137,139,141,144,146,148,150,152,155,158,160,162,164,166,168,170,172,174,176,178,180,182,184,186,188,190,192,194,196,198,201,203,205,207,209,211,213,215,217,219,221,223,225,227,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,267,269,271,273,275,277,279,281,283,285,287,289,291,293,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,359,361,363,365,367,369,371,373,375,377,379,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,415,417,419,421,423,425,427,429,431,433,435,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,493,495,497,500,502,504,506,508,510,512,514,516,518,520,522,524,526,529,531,533,535,537,539,541,543,545,547,549,551,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,829,831,833,835,837,840,842,844,846,848,850,852,854,856,858,860,862,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523],{"categories":107},[73],{"categories":109},[110],"Developer Productivity",{"categories":112},[73],{"categories":114},[115],"Business & SaaS",{"categories":117},[73],{"categories":119},[120],"AI Automation",{"categories":122},[123],"Product Strategy",{"categories":125},[73],{"categories":127},[110],{"categories":129},[120],{"categories":131},[132],"Software Engineering",{"categories":134},[73],{"categories":136},[115],{"categories":138},[],{"categories":140},[73],{"categories":142},[143],"Inference & Serving",{"categories":145},[73],{"categories":147},[73],{"categories":149},[120],{"categories":151},[],{"categories":153},[154],"AI News & Trends",{"categories":156},[157],"Data Science & Visualization",{"categories":159},[120],{"categories":161},[73],{"categories":163},[73],{"categories":165},[115],{"categories":167},[110],{"categories":169},[73],{"categories":171},[120],{"categories":173},[154],{"categories":175},[120],{"categories":177},[120],{"categories":179},[73],{"categories":181},[120],{"categories":183},[73],{"categories":185},[73],{"categories":187},[73],{"categories":189},[154],{"categories":191},[73],{"categories":193},[73],{"categories":195},[73],{"categories":197},[],{"categories":199},[200],"Design & Frontend",{"categories":202},[157],{"categories":204},[154],{"categories":206},[73],{"categories":208},[73],{"categories":210},[73],{"categories":212},[],{"categories":214},[73],{"categories":216},[73],{"categories":218},[120],{"categories":220},[132],{"categories":222},[73],{"categories":224},[120],{"categories":226},[73],{"categories":228},[229],"Marketing & Growth",{"categories":231},[200],{"categories":233},[73],{"categories":235},[120],{"categories":237},[73],{"categories":239},[132],{"categories":241},[],{"categories":243},[],{"categories":245},[200],{"categories":247},[73],{"categories":249},[120],{"categories":251},[110],{"categories":253},[132],{"categories":255},[120],{"categories":257},[200],{"categories":259},[123],{"categories":261},[73],{"categories":263},[132],{"categories":265},[266],"DevOps & Cloud",{"categories":268},[120],{"categories":270},[123],{"categories":272},[154],{"categories":274},[73],{"categories":276},[],{"categories":278},[73],{"categories":280},[73],{"categories":282},[],{"categories":284},[120],{"categories":286},[132],{"categories":288},[],{"categories":290},[132],{"categories":292},[73],{"categories":294},[295],"Governance & Standards",{"categories":297},[115],{"categories":299},[],{"categories":301},[],{"categories":303},[73],{"categories":305},[73],{"categories":307},[120],{"categories":309},[73],{"categories":311},[73],{"categories":313},[120],{"categories":315},[73],{"categories":317},[73],{"categories":319},[73],{"categories":321},[],{"categories":323},[132],{"categories":325},[],{"categories":327},[],{"categories":329},[73],{"categories":331},[132],{"categories":333},[],{"categories":335},[132],{"categories":337},[73],{"categories":339},[73],{"categories":341},[229],{"categories":343},[73],{"categories":345},[73],{"categories":347},[200],{"categories":349},[200],{"categories":351},[73],{"categories":353},[132],{"categories":355},[120],{"categories":357},[358],"GovTech & Public-Sector Adoption",{"categories":360},[132],{"categories":362},[73],{"categories":364},[73],{"categories":366},[73],{"categories":368},[120],{"categories":370},[120],{"categories":372},[157],{"categories":374},[73],{"categories":376},[154],{"categories":378},[120],{"categories":380},[381],"Legal AI Tools",{"categories":383},[73],{"categories":385},[120],{"categories":387},[73],{"categories":389},[229],{"categories":391},[120],{"categories":393},[123],{"categories":395},[73],{"categories":397},[132],{"categories":399},[358],{"categories":401},[],{"categories":403},[120],{"categories":405},[],{"categories":407},[115],{"categories":409},[120],{"categories":411},[120],{"categories":413},[414],"RAG & Retrieval",{"categories":416},[115],{"categories":418},[73],{"categories":420},[132],{"categories":422},[132],{"categories":424},[266],{"categories":426},[200],{"categories":428},[120],{"categories":430},[73],{"categories":432},[73],{"categories":434},[],{"categories":436},[437],"Agents & Orchestration",{"categories":439},[132],{"categories":441},[73],{"categories":443},[],{"categories":445},[120],{"categories":447},[115],{"categories":449},[],{"categories":451},[73],{"categories":453},[],{"categories":455},[73],{"categories":457},[110],{"categories":459},[132],{"categories":461},[115],{"categories":463},[73],{"categories":465},[120],{"categories":467},[73],{"categories":469},[154],{"categories":471},[73],{"categories":473},[],{"categories":475},[73],{"categories":477},[],{"categories":479},[132],{"categories":481},[73],{"categories":483},[157],{"categories":485},[],{"categories":487},[73],{"categories":489},[200],{"categories":491},[492],"Models & Frontier Labs",{"categories":494},[],{"categories":496},[200],{"categories":498},[499],"Regulation & Governance of AI",{"categories":501},[120],{"categories":503},[],{"categories":505},[73],{"categories":507},[73],{"categories":509},[120],{"categories":511},[154],{"categories":513},[115],{"categories":515},[73],{"categories":517},[],{"categories":519},[132],{"categories":521},[120],{"categories":523},[73],{"categories":525},[123],{"categories":527},[528],"AI Policy & Regulation",{"categories":530},[],{"categories":532},[73],{"categories":534},[120],{"categories":536},[123],{"categories":538},[120],{"categories":540},[73],{"categories":542},[73],{"categories":544},[73],{"categories":546},[120],{"categories":548},[],{"categories":550},[157],{"categories":552},[553],"Evals & Reliability",{"categories":555},[73],{"categories":557},[73],{"categories":559},[],{"categories":561},[110],{"categories":563},[358],{"categories":565},[528],{"categories":567},[73],{"categories":569},[115],{"categories":571},[73],{"categories":573},[120],{"categories":575},[73],{"categories":577},[120],{"categories":579},[437],{"categories":581},[73],{"categories":583},[132],{"categories":585},[73],{"categories":587},[],{"categories":589},[],{"categories":591},[73],{"categories":593},[358],{"categories":595},[73],{"categories":597},[73],{"categories":599},[73],{"categories":601},[],{"categories":603},[200],{"categories":605},[],{"categories":607},[73],{"categories":609},[],{"categories":611},[120],{"categories":613},[73],{"categories":615},[200],{"categories":617},[],{"categories":619},[73],{"categories":621},[73],{"categories":623},[157],{"categories":625},[120],{"categories":627},[73],{"categories":629},[115],{"categories":631},[120],{"categories":633},[73],{"categories":635},[73],{"categories":637},[132],{"categories":639},[200],{"categories":641},[73],{"categories":643},[120],{"categories":645},[],{"categories":647},[132],{"categories":649},[120],{"categories":651},[157],{"categories":653},[],{"categories":655},[73],{"categories":657},[154],{"categories":659},[73],{"categories":661},[],{"categories":663},[73],{"categories":665},[73],{"categories":667},[73],{"categories":669},[115,229],{"categories":671},[],{"categories":673},[73],{"categories":675},[73],{"categories":677},[120],{"categories":679},[73],{"categories":681},[],{"categories":683},[],{"categories":685},[73],{"categories":687},[200],{"categories":689},[73],{"categories":691},[],{"categories":693},[73],{"categories":695},[266],{"categories":697},[],{"categories":699},[120],{"categories":701},[154],{"categories":703},[73],{"categories":705},[73],{"categories":707},[200],{"categories":709},[],{"categories":711},[154],{"categories":713},[73],{"categories":715},[143],{"categories":717},[73],{"categories":719},[73],{"categories":721},[120],{"categories":723},[154],{"categories":725},[492],{"categories":727},[73],{"categories":729},[229],{"categories":731},[],{"categories":733},[120],{"categories":735},[115],{"categories":737},[132],{"categories":739},[73],{"categories":741},[120],{"categories":743},[],{"categories":745},[73,266],{"categories":747},[73],{"categories":749},[73],{"categories":751},[73],{"categories":753},[120],{"categories":755},[73,132],{"categories":757},[157],{"categories":759},[73],{"categories":761},[73],{"categories":763},[132],{"categories":765},[73],{"categories":767},[120],{"categories":769},[528],{"categories":771},[229],{"categories":773},[73],{"categories":775},[120],{"categories":777},[73],{"categories":779},[73],{"categories":781},[120],{"categories":783},[],{"categories":785},[120],{"categories":787},[73],{"categories":789},[73],{"categories":791},[120],{"categories":793},[73],{"categories":795},[73,115],{"categories":797},[73],{"categories":799},[115],{"categories":801},[],{"categories":803},[200],{"categories":805},[200],{"categories":807},[73],{"categories":809},[],{"categories":811},[],{"categories":813},[73],{"categories":815},[154],{"categories":817},[],{"categories":819},[110],{"categories":821},[73],{"categories":823},[132],{"categories":825},[73],{"categories":827},[828],"Generative UI & Design-to-Code",{"categories":830},[73],{"categories":832},[73],{"categories":834},[200],{"categories":836},[73],{"categories":838},[839],"Algorithmic Accountability",{"categories":841},[120],{"categories":843},[132],{"categories":845},[154],{"categories":847},[200],{"categories":849},[73],{"categories":851},[],{"categories":853},[123],{"categories":855},[73],{"categories":857},[73],{"categories":859},[73],{"categories":861},[120],{"categories":863},[864],"MLOps & Infrastructure",{"categories":866},[73],{"categories":868},[73],{"categories":870},[73],{"categories":872},[73],{"categories":874},[73],{"categories":876},[154],{"categories":878},[123],{"categories":880},[110],{"categories":882},[73],{"categories":884},[120],{"categories":886},[266],{"categories":888},[73],{"categories":890},[115],{"categories":892},[73],{"categories":894},[200],{"categories":896},[73],{"categories":898},[73],{"categories":900},[120],{"categories":902},[],{"categories":904},[],{"categories":906},[73],{"categories":908},[143],{"categories":910},[200],{"categories":912},[154],{"categories":914},[157],{"categories":916},[],{"categories":918},[73],{"categories":920},[73],{"categories":922},[115],{"categories":924},[120],{"categories":926},[73],{"categories":928},[73],{"categories":930},[73],{"categories":932},[73],{"categories":934},[154],{"categories":936},[143],{"categories":938},[73],{"categories":940},[200],{"categories":942},[73],{"categories":944},[],{"categories":946},[120],{"categories":948},[132],{"categories":950},[],{"categories":952},[73],{"categories":954},[73],{"categories":956},[120],{"categories":958},[132],{"categories":960},[73],{"categories":962},[157],{"categories":964},[],{"categories":966},[73],{"categories":968},[],{"categories":970},[73],{"categories":972},[],{"categories":974},[123],{"categories":976},[115],{"categories":978},[120],{"categories":980},[120],{"categories":982},[],{"categories":984},[110],{"categories":986},[73],{"categories":988},[73],{"categories":990},[115],{"categories":992},[154],{"categories":994},[110],{"categories":996},[],{"categories":998},[73],{"categories":1000},[],{"categories":1002},[],{"categories":1004},[154],{"categories":1006},[154],{"categories":1008},[],{"categories":1010},[437],{"categories":1012},[73],{"categories":1014},[200],{"categories":1016},[132],{"categories":1018},[],{"categories":1020},[381],{"categories":1022},[120],{"categories":1024},[115],{"categories":1026},[],{"categories":1028},[],{"categories":1030},[110],{"categories":1032},[157],{"categories":1034},[],{"categories":1036},[229],{"categories":1038},[120],{"categories":1040},[115],{"categories":1042},[120],{"categories":1044},[115],{"categories":1046},[73],{"categories":1048},[132],{"categories":1050},[],{"categories":1052},[143],{"categories":1054},[123],{"categories":1056},[73],{"categories":1058},[200],{"categories":1060},[132],{"categories":1062},[115],{"categories":1064},[73],{"categories":1066},[120],{"categories":1068},[115],{"categories":1070},[73],{"categories":1072},[73],{"categories":1074},[73],{"categories":1076},[73],{"categories":1078},[73],{"categories":1080},[],{"categories":1082},[],{"categories":1084},[132],{"categories":1086},[157],{"categories":1088},[123],{"categories":1090},[73],{"categories":1092},[120],{"categories":1094},[132],{"categories":1096},[73],{"categories":1098},[],{"categories":1100},[154],{"categories":1102},[123],{"categories":1104},[132],{"categories":1106},[73],{"categories":1108},[553],{"categories":1110},[266],{"categories":1112},[],{"categories":1114},[120],{"categories":1116},[73],{"categories":1118},[],{"categories":1120},[110],{"categories":1122},[],{"categories":1124},[73],{"categories":1126},[73],{"categories":1128},[73],{"categories":1130},[200],{"categories":1132},[229],{"categories":1134},[73],{"categories":1136},[132],{"categories":1138},[73],{"categories":1140},[120],{"categories":1142},[],{"categories":1144},[132],{"categories":1146},[73],{"categories":1148},[110],{"categories":1150},[],{"categories":1152},[115],{"categories":1154},[73],{"categories":1156},[154],{"categories":1158},[73,266],{"categories":1160},[73],{"categories":1162},[1163],"Design Systems for AI",{"categories":1165},[73],{"categories":1167},[73],{"categories":1169},[154],{"categories":1171},[73],{"categories":1173},[73],{"categories":1175},[73],{"categories":1177},[115],{"categories":1179},[73],{"categories":1181},[73],{"categories":1183},[73],{"categories":1185},[],{"categories":1187},[73],{"categories":1189},[73],{"categories":1191},[115],{"categories":1193},[73],{"categories":1195},[],{"categories":1197},[120],{"categories":1199},[132],{"categories":1201},[154],{"categories":1203},[132],{"categories":1205},[73],{"categories":1207},[200],{"categories":1209},[154],{"categories":1211},[157],{"categories":1213},[73],{"categories":1215},[73],{"categories":1217},[120],{"categories":1219},[110],{"categories":1221},[528],{"categories":1223},[73],{"categories":1225},[120],{"categories":1227},[73],{"categories":1229},[132],{"categories":1231},[132],{"categories":1233},[],{"categories":1235},[],{"categories":1237},[120],{"categories":1239},[123],{"categories":1241},[],{"categories":1243},[115],{"categories":1245},[73],{"categories":1247},[],{"categories":1249},[200],{"categories":1251},[120],{"categories":1253},[132],{"categories":1255},[200],{"categories":1257},[73],{"categories":1259},[73],{"categories":1261},[200],{"categories":1263},[],{"categories":1265},[],{"categories":1267},[154],{"categories":1269},[120],{"categories":1271},[120],{"categories":1273},[73],{"categories":1275},[73],{"categories":1277},[73],{"categories":1279},[73],{"categories":1281},[115],{"categories":1283},[73],{"categories":1285},[73],{"categories":1287},[],{"categories":1289},[132],{"categories":1291},[132],{"categories":1293},[73],{"categories":1295},[132],{"categories":1297},[115],{"categories":1299},[],{"categories":1301},[73],{"categories":1303},[73],{"categories":1305},[73],{"categories":1307},[73],{"categories":1309},[73],{"categories":1311},[120],{"categories":1313},[110],{"categories":1315},[115],{"categories":1317},[73],{"categories":1319},[120],{"categories":1321},[154],{"categories":1323},[120],{"categories":1325},[143],{"categories":1327},[229],{"categories":1329},[73],{"categories":1331},[120],{"categories":1333},[73],{"categories":1335},[73],{"categories":1337},[],{"categories":1339},[200],{"categories":1341},[],{"categories":1343},[73],{"categories":1345},[73],{"categories":1347},[],{"categories":1349},[132],{"categories":1351},[115],{"categories":1353},[1354],"Visual & Generative Media",{"categories":1356},[120],{"categories":1358},[],{"categories":1360},[73],{"categories":1362},[73],{"categories":1364},[132],{"categories":1366},[266],{"categories":1368},[157],{"categories":1370},[528],{"categories":1372},[132],{"categories":1374},[229],{"categories":1376},[73],{"categories":1378},[200],{"categories":1380},[73],{"categories":1382},[73],{"categories":1384},[132],{"categories":1386},[120],{"categories":1388},[73],{"categories":1390},[],{"categories":1392},[],{"categories":1394},[120],{"categories":1396},[132],{"categories":1398},[110],{"categories":1400},[120],{"categories":1402},[492],{"categories":1404},[73],{"categories":1406},[123],{"categories":1408},[73],{"categories":1410},[115],{"categories":1412},[],{"categories":1414},[73],{"categories":1416},[123],{"categories":1418},[73],{"categories":1420},[73],{"categories":1422},[73],{"categories":1424},[123],{"categories":1426},[73],{"categories":1428},[73],{"categories":1430},[229],{"categories":1432},[73],{"categories":1434},[437],{"categories":1436},[73],{"categories":1438},[120],{"categories":1440},[73],{"categories":1442},[73],{"categories":1444},[73],{"categories":1446},[73],{"categories":1448},[200],{"categories":1450},[120],{"categories":1452},[],{"categories":1454},[120],{"categories":1456},[],{"categories":1458},[266],{"categories":1460},[132],{"categories":1462},[],{"categories":1464},[492],{"categories":1466},[73],{"categories":1468},[120],{"categories":1470},[73],{"categories":1472},[200,73],{"categories":1474},[110],{"categories":1476},[73],{"categories":1478},[200],{"categories":1480},[],{"categories":1482},[73],{"categories":1484},[110],{"categories":1486},[1487],"Medical Imaging & Radiology",{"categories":1489},[73],{"categories":1491},[200],{"categories":1493},[120],{"categories":1495},[132],{"categories":1497},[],{"categories":1499},[73],{"categories":1501},[73],{"categories":1503},[73],{"categories":1505},[],{"categories":1507},[],{"categories":1509},[73],{"categories":1511},[437],{"categories":1513},[73],{"categories":1515},[110],{"categories":1517},[73],{"categories":1519},[73],{"categories":1521},[],{"categories":1523},[120],{"categories":1525},[73],{"categories":1527},[123],{"categories":1529},[132],{"categories":1531},[73],{"categories":1533},[437],{"categories":1535},[73],{"categories":1537},[120],{"categories":1539},[73],{"categories":1541},[73],{"categories":1543},[73],{"categories":1545},[200],{"categories":1547},[120],{"categories":1549},[266],{"categories":1551},[200],{"categories":1553},[115],{"categories":1555},[120],{"categories":1557},[154],{"categories":1559},[73],{"categories":1561},[73],{"categories":1563},[123],{"categories":1565},[73],{"categories":1567},[73],{"categories":1569},[73],{"categories":1571},[120],{"categories":1573},[132],{"categories":1575},[132],{"categories":1577},[73],{"categories":1579},[123],{"categories":1581},[],{"categories":1583},[154],{"categories":1585},[],{"categories":1587},[123],{"categories":1589},[120],{"categories":1591},[73],{"categories":1593},[120],{"categories":1595},[1163],{"categories":1597},[1163],{"categories":1599},[200],{"categories":1601},[73],{"categories":1603},[73],{"categories":1605},[120],{"categories":1607},[132],{"categories":1609},[200],{"categories":1611},[120],{"categories":1613},[154],{"categories":1615},[],{"categories":1617},[73],{"categories":1619},[],{"categories":1621},[73],{"categories":1623},[73],{"categories":1625},[73],{"categories":1627},[73],{"categories":1629},[120],{"categories":1631},[1632],"Contract Review & E-Discovery",{"categories":1634},[73],{"categories":1636},[200],{"categories":1638},[73],{"categories":1640},[110],{"categories":1642},[73],{"categories":1644},[154],{"categories":1646},[73],{"categories":1648},[73],{"categories":1650},[229],{"categories":1652},[132],{"categories":1654},[73],{"categories":1656},[73],{"categories":1658},[120],{"categories":1660},[120],{"categories":1662},[839],{"categories":1664},[73],{"categories":1666},[73],{"categories":1668},[120],{"categories":1670},[120],{"categories":1672},[73],{"categories":1674},[73],{"categories":1676},[120],{"categories":1678},[73],{"categories":1680},[73],{"categories":1682},[437],{"categories":1684},[414],{"categories":1686},[73],{"categories":1688},[120],{"categories":1690},[73],{"categories":1692},[1693],"Law-Firm Practice & Adoption",{"categories":1695},[73],{"categories":1697},[120],{"categories":1699},[200],{"categories":1701},[73],{"categories":1703},[73],{"categories":1705},[73],{"categories":1707},[],{"categories":1709},[],{"categories":1711},[132],{"categories":1713},[73],{"categories":1715},[],{"categories":1717},[120],{"categories":1719},[110],{"categories":1721},[266],{"categories":1723},[73],{"categories":1725},[],{"categories":1727},[110],{"categories":1729},[115],{"categories":1731},[73],{"categories":1733},[229],{"categories":1735},[],{"categories":1737},[115],{"categories":1739},[115],{"categories":1741},[],{"categories":1743},[73],{"categories":1745},[123],{"categories":1747},[73],{"categories":1749},[132],{"categories":1751},[],{"categories":1753},[],{"categories":1755},[],{"categories":1757},[],{"categories":1759},[73],{"categories":1761},[120],{"categories":1763},[266],{"categories":1765},[73],{"categories":1767},[110],{"categories":1769},[132],{"categories":1771},[73],{"categories":1773},[73],{"categories":1775},[132],{"categories":1777},[123],{"categories":1779},[73],{"categories":1781},[73],{"categories":1783},[73],{"categories":1785},[864],{"categories":1787},[73],{"categories":1789},[73],{"categories":1791},[229],{"categories":1793},[132],{"categories":1795},[115],{"categories":1797},[73],{"categories":1799},[73],{"categories":1801},[200],{"categories":1803},[73],{"categories":1805},[73],{"categories":1807},[73],{"categories":1809},[73],{"categories":1811},[120],{"categories":1813},[73,110],{"categories":1815},[437],{"categories":1817},[73],{"categories":1819},[73],{"categories":1821},[132],{"categories":1823},[132],{"categories":1825},[200],{"categories":1827},[120],{"categories":1829},[132],{"categories":1831},[73],{"categories":1833},[73],{"categories":1835},[],{"categories":1837},[],{"categories":1839},[73],{"categories":1841},[120],{"categories":1843},[],{"categories":1845},[73],{"categories":1847},[132],{"categories":1849},[157],{"categories":1851},[154],{"categories":1853},[200],{"categories":1855},[73],{"categories":1857},[73],{"categories":1859},[132],{"categories":1861},[],{"categories":1863},[120],{"categories":1865},[73],{"categories":1867},[73],{"categories":1869},[73],{"categories":1871},[73],{"categories":1873},[],{"categories":1875},[120],{"categories":1877},[73],{"categories":1879},[73],{"categories":1881},[],{"categories":1883},[120],{"categories":1885},[73],{"categories":1887},[73],{"categories":1889},[115],{"categories":1891},[73],{"categories":1893},[73],{"categories":1895},[],{"categories":1897},[110],{"categories":1899},[73],{"categories":1901},[73],{"categories":1903},[200],{"categories":1905},[132],{"categories":1907},[73],{"categories":1909},[110],{"categories":1911},[73],{"categories":1913},[132],{"categories":1915},[229],{"categories":1917},[120],{"categories":1919},[120],{"categories":1921},[73],{"categories":1923},[73],{"categories":1925},[73,200],{"categories":1927},[73],{"categories":1929},[120],{"categories":1931},[154],{"categories":1933},[73],{"categories":1935},[154],{"categories":1937},[120],{"categories":1939},[200],{"categories":1941},[73],{"categories":1943},[],{"categories":1945},[132],{"categories":1947},[266],{"categories":1949},[200],{"categories":1951},[132],{"categories":1953},[73],{"categories":1955},[123],{"categories":1957},[73],{"categories":1959},[73],{"categories":1961},[120],{"categories":1963},[],{"categories":1965},[],{"categories":1967},[73],{"categories":1969},[],{"categories":1971},[],{"categories":1973},[123],{"categories":1975},[132],{"categories":1977},[73],{"categories":1979},[120],{"categories":1981},[120],{"categories":1983},[115],{"categories":1985},[120],{"categories":1987},[266],{"categories":1989},[73],{"categories":1991},[73],{"categories":1993},[73],{"categories":1995},[143],{"categories":1997},[73],{"categories":1999},[73],{"categories":2001},[132],{"categories":2003},[120],{"categories":2005},[73],{"categories":2007},[73],{"categories":2009},[381],{"categories":2011},[839],{"categories":2013},[],{"categories":2015},[200],{"categories":2017},[1693],{"categories":2019},[132],{"categories":2021},[],{"categories":2023},[],{"categories":2025},[120],{"categories":2027},[],{"categories":2029},[],{"categories":2031},[73],{"categories":2033},[229],{"categories":2035},[73],{"categories":2037},[229],{"categories":2039},[120],{"categories":2041},[73],{"categories":2043},[132],{"categories":2045},[123],{"categories":2047},[],{"categories":2049},[73],{"categories":2051},[73],{"categories":2053},[132],{"categories":2055},[1632],{"categories":2057},[200],{"categories":2059},[200],{"categories":2061},[73],{"categories":2063},[120],{"categories":2065},[110],{"categories":2067},[73],{"categories":2069},[73],{"categories":2071},[73],{"categories":2073},[200],{"categories":2075},[200],{"categories":2077},[120],{"categories":2079},[120],{"categories":2081},[120],{"categories":2083},[73],{"categories":2085},[73],{"categories":2087},[],{"categories":2089},[73],{"categories":2091},[],{"categories":2093},[2094],"Interaction & Product Design",{"categories":2096},[73],{"categories":2098},[120],{"categories":2100},[132],{"categories":2102},[295],{"categories":2104},[154],{"categories":2106},[132],{"categories":2108},[73],{"categories":2110},[73],{"categories":2112},[132],{"categories":2114},[110],{"categories":2116},[120],{"categories":2118},[73],{"categories":2120},[],{"categories":2122},[120],{"categories":2124},[120],{"categories":2126},[],{"categories":2128},[132],{"categories":2130},[73],{"categories":2132},[110],{"categories":2134},[2094],{"categories":2136},[73],{"categories":2138},[110],{"categories":2140},[110],{"categories":2142},[],{"categories":2144},[120],{"categories":2146},[132],{"categories":2148},[],{"categories":2150},[120],{"categories":2152},[154],{"categories":2154},[73],{"categories":2156},[120],{"categories":2158},[73],{"categories":2160},[120],{"categories":2162},[73],{"categories":2164},[73],{"categories":2166},[154],{"categories":2168},[157],{"categories":2170},[73],{"categories":2172},[123],{"categories":2174},[132],{"categories":2176},[2177],"Coding Agents & Dev Productivity",{"categories":2179},[154],{"categories":2181},[200],{"categories":2183},[73],{"categories":2185},[73],{"categories":2187},[],{"categories":2189},[73],{"categories":2191},[839],{"categories":2193},[],{"categories":2195},[73],{"categories":2197},[266],{"categories":2199},[73],{"categories":2201},[154],{"categories":2203},[],{"categories":2205},[],{"categories":2207},[73],{"categories":2209},[],{"categories":2211},[120],{"categories":2213},[73],{"categories":2215},[],{"categories":2217},[132],{"categories":2219},[132],{"categories":2221},[73],{"categories":2223},[157],{"categories":2225},[],{"categories":2227},[73],{"categories":2229},[73],{"categories":2231},[73],{"categories":2233},[157],{"categories":2235},[132],{"categories":2237},[120],{"categories":2239},[],{"categories":2241},[],{"categories":2243},[73],{"categories":2245},[73],{"categories":2247},[120],{"categories":2249},[120],{"categories":2251},[358],{"categories":2253},[132],{"categories":2255},[132],{"categories":2257},[120],{"categories":2259},[154],{"categories":2261},[154],{"categories":2263},[120],{"categories":2265},[120],{"categories":2267},[73],{"categories":2269},[110],{"categories":2271},[2094],{"categories":2273},[73,266],{"categories":2275},[157],{"categories":2277},[],{"categories":2279},[200],{"categories":2281},[132],{"categories":2283},[110],{"categories":2285},[73],{"categories":2287},[120],{"categories":2289},[2290],"The Designer's Role & Craft",{"categories":2292},[200],{"categories":2294},[],{"categories":2296},[120],{"categories":2298},[73],{"categories":2300},[120],{"categories":2302},[120],{"categories":2304},[73],{"categories":2306},[229],{"categories":2308},[73],{"categories":2310},[132],{"categories":2312},[73],{"categories":2314},[200],{"categories":2316},[73],{"categories":2318},[],{"categories":2320},[120],{"categories":2322},[200],{"categories":2324},[73],{"categories":2326},[73],{"categories":2328},[73],{"categories":2330},[2331],"AI UX Patterns",{"categories":2333},[120],{"categories":2335},[120],{"categories":2337},[120],{"categories":2339},[120],{"categories":2341},[229],{"categories":2343},[157],{"categories":2345},[73],{"categories":2347},[120],{"categories":2349},[73],{"categories":2351},[1163],{"categories":2353},[],{"categories":2355},[229],{"categories":2357},[120],{"categories":2359},[154],{"categories":2361},[132],{"categories":2363},[73],{"categories":2365},[120],{"categories":2367},[],{"categories":2369},[],{"categories":2371},[73],{"categories":2373},[120],{"categories":2375},[73],{"categories":2377},[120],{"categories":2379},[358],{"categories":2381},[200],{"categories":2383},[73],{"categories":2385},[154],{"categories":2387},[132],{"categories":2389},[73],{"categories":2391},[120],{"categories":2393},[120],{"categories":2395},[],{"categories":2397},[73],{"categories":2399},[],{"categories":2401},[],{"categories":2403},[73],{"categories":2405},[73],{"categories":2407},[73],{"categories":2409},[120],{"categories":2411},[132],{"categories":2413},[],{"categories":2415},[],{"categories":2417},[157],{"categories":2419},[143],{"categories":2421},[73],{"categories":2423},[73],{"categories":2425},[157],{"categories":2427},[73],{"categories":2429},[154],{"categories":2431},[73],{"categories":2433},[73],{"categories":2435},[73],{"categories":2437},[120],{"categories":2439},[73],{"categories":2441},[120],{"categories":2443},[73],{"categories":2445},[73],{"categories":2447},[120],{"categories":2449},[],{"categories":2451},[],{"categories":2453},[73],{"categories":2455},[266],{"categories":2457},[73],{"categories":2459},[],{"categories":2461},[],{"categories":2463},[200],{"categories":2465},[864],{"categories":2467},[120],{"categories":2469},[110],{"categories":2471},[2290],{"categories":2473},[],{"categories":2475},[],{"categories":2477},[73],{"categories":2479},[],{"categories":2481},[],{"categories":2483},[132],{"categories":2485},[154],{"categories":2487},[229],{"categories":2489},[115],{"categories":2491},[73],{"categories":2493},[73],{"categories":2495},[115],{"categories":2497},[],{"categories":2499},[200],{"categories":2501},[123],{"categories":2503},[73],{"categories":2505},[73],{"categories":2507},[120],{"categories":2509},[115],{"categories":2511},[73],{"categories":2513},[73],{"categories":2515},[110],{"categories":2517},[73],{"categories":2519},[],{"categories":2521},[110],{"categories":2523},[73],{"categories":2525},[229],{"categories":2527},[120],{"categories":2529},[154],{"categories":2531},[73],{"categories":2533},[132],{"categories":2535},[73],{"categories":2537},[73],{"categories":2539},[115],{"categories":2541},[73],{"categories":2543},[73],{"categories":2545},[73],{"categories":2547},[120],{"categories":2549},[],{"categories":2551},[73],{"categories":2553},[132],{"categories":2555},[110],{"categories":2557},[73],{"categories":2559},[73],{"categories":2561},[73],{"categories":2563},[],{"categories":2565},[73],{"categories":2567},[437],{"categories":2569},[120],{"categories":2571},[115],{"categories":2573},[154],{"categories":2575},[73],{"categories":2577},[73],{"categories":2579},[],{"categories":2581},[115],{"categories":2583},[115],{"categories":2585},[73],{"categories":2587},[73],{"categories":2589},[123],{"categories":2591},[73],{"categories":2593},[73],{"categories":2595},[73],{"categories":2597},[73],{"categories":2599},[132],{"categories":2601},[132],{"categories":2603},[73],{"categories":2605},[],{"categories":2607},[132],{"categories":2609},[73],{"categories":2611},[132],{"categories":2613},[120],{"categories":2615},[528],{"categories":2617},[],{"categories":2619},[],{"categories":2621},[73],{"categories":2623},[154],{"categories":2625},[],{"categories":2627},[266],{"categories":2629},[73],{"categories":2631},[73],{"categories":2633},[200],{"categories":2635},[828],{"categories":2637},[],{"categories":2639},[73],{"categories":2641},[73],{"categories":2643},[73],{"categories":2645},[132],{"categories":2647},[73],{"categories":2649},[73],{"categories":2651},[73,266],{"categories":2653},[73],{"categories":2655},[73],{"categories":2657},[200],{"categories":2659},[120],{"categories":2661},[],{"categories":2663},[120],{"categories":2665},[120],{"categories":2667},[73],{"categories":2669},[73],{"categories":2671},[73],{"categories":2673},[73],{"categories":2675},[157],{"categories":2677},[73],{"categories":2679},[2331],{"categories":2681},[110],{"categories":2683},[157],{"categories":2685},[110],{"categories":2687},[132],{"categories":2689},[200],{"categories":2691},[120],{"categories":2693},[73],{"categories":2695},[],{"categories":2697},[115],{"categories":2699},[73],{"categories":2701},[73],{"categories":2703},[154],{"categories":2705},[73],{"categories":2707},[73],{"categories":2709},[120],{"categories":2711},[73],{"categories":2713},[73],{"categories":2715},[73],{"categories":2717},[115],{"categories":2719},[],{"categories":2721},[266],{"categories":2723},[73],{"categories":2725},[358],{"categories":2727},[200],{"categories":2729},[200],{"categories":2731},[132],{"categories":2733},[120],{"categories":2735},[73],{"categories":2737},[115],{"categories":2739},[154],{"categories":2741},[73],{"categories":2743},[73],{"categories":2745},[200],{"categories":2747},[120],{"categories":2749},[120],{"categories":2751},[73],{"categories":2753},[73],{"categories":2755},[492],{"categories":2757},[],{"categories":2759},[73],{"categories":2761},[73],{"categories":2763},[73],{"categories":2765},[],{"categories":2767},[],{"categories":2769},[73],{"categories":2771},[73],{"categories":2773},[120],{"categories":2775},[73],{"categories":2777},[73],{"categories":2779},[73],{"categories":2781},[132],{"categories":2783},[73],{"categories":2785},[73],{"categories":2787},[120],{"categories":2789},[73],{"categories":2791},[73],{"categories":2793},[73],{"categories":2795},[73],{"categories":2797},[73],{"categories":2799},[],{"categories":2801},[132],{"categories":2803},[157],{"categories":2805},[73],{"categories":2807},[120],{"categories":2809},[73],{"categories":2811},[],{"categories":2813},[],{"categories":2815},[73],{"categories":2817},[73],{"categories":2819},[73],{"categories":2821},[154],{"categories":2823},[157],{"categories":2825},[],{"categories":2827},[73],{"categories":2829},[200],{"categories":2831},[73],{"categories":2833},[266],{"categories":2835},[1693],{"categories":2837},[154],{"categories":2839},[132],{"categories":2841},[132],{"categories":2843},[132],{"categories":2845},[73],{"categories":2847},[73],{"categories":2849},[154],{"categories":2851},[154],{"categories":2853},[266],{"categories":2855},[120],{"categories":2857},[],{"categories":2859},[154],{"categories":2861},[73],{"categories":2863},[110],{"categories":2865},[132],{"categories":2867},[73],{"categories":2869},[154],{"categories":2871},[],{"categories":2873},[73],{"categories":2875},[132],{"categories":2877},[132],{"categories":2879},[157],{"categories":2881},[73],{"categories":2883},[154],{"categories":2885},[73],{"categories":2887},[132],{"categories":2889},[120],{"categories":2891},[154],{"categories":2893},[120],{"categories":2895},[266],{"categories":2897},[120],{"categories":2899},[73],{"categories":2901},[73],{"categories":2903},[73],{"categories":2905},[73],{"categories":2907},[132],{"categories":2909},[73],{"categories":2911},[],{"categories":2913},[120],{"categories":2915},[115],{"categories":2917},[132],{"categories":2919},[],{"categories":2921},[],{"categories":2923},[73],{"categories":2925},[120],{"categories":2927},[73],{"categories":2929},[73],{"categories":2931},[2932],"Frameworks & Tooling",{"categories":2934},[73],{"categories":2936},[73],{"categories":2938},[132],{"categories":2940},[73],{"categories":2942},[73],{"categories":2944},[],{"categories":2946},[157],{"categories":2948},[157],{"categories":2950},[110],{"categories":2952},[73],{"categories":2954},[120],{"categories":2956},[73],{"categories":2958},[200],{"categories":2960},[],{"categories":2962},[1693],{"categories":2964},[73],{"categories":2966},[132],{"categories":2968},[73],{"categories":2970},[266],{"categories":2972},[266],{"categories":2974},[],{"categories":2976},[120],{"categories":2978},[73],{"categories":2980},[154],{"categories":2982},[154],{"categories":2984},[73],{"categories":2986},[120],{"categories":2988},[],{"categories":2990},[200],{"categories":2992},[73],{"categories":2994},[73],{"categories":2996},[],{"categories":2998},[73],{"categories":3000},[120],{"categories":3002},[73],{"categories":3004},[73],{"categories":3006},[],{"categories":3008},[132],{"categories":3010},[73],{"categories":3012},[132],{"categories":3014},[266],{"categories":3016},[73],{"categories":3018},[73],{"categories":3020},[132],{"categories":3022},[115],{"categories":3024},[73],{"categories":3026},[1693],{"categories":3028},[],{"categories":3030},[120],{"categories":3032},[110],{"categories":3034},[73],{"categories":3036},[110],{"categories":3038},[73],{"categories":3040},[],{"categories":3042},[120],{"categories":3044},[73],{"categories":3046},[3047],"AI Design Tooling",{"categories":3049},[200],{"categories":3051},[73],{"categories":3053},[73],{"categories":3055},[132],{"categories":3057},[200],{"categories":3059},[73],{"categories":3061},[132],{"categories":3063},[154],{"categories":3065},[123],{"categories":3067},[132],{"categories":3069},[73],{"categories":3071},[73],{"categories":3073},[120],{"categories":3075},[73],{"categories":3077},[],{"categories":3079},[73],{"categories":3081},[73],{"categories":3083},[120],{"categories":3085},[73],{"categories":3087},[73],{"categories":3089},[73],{"categories":3091},[120],{"categories":3093},[],{"categories":3095},[120],{"categories":3097},[2932],{"categories":3099},[73],{"categories":3101},[73],{"categories":3103},[120],{"categories":3105},[120],{"categories":3107},[132],{"categories":3109},[132],{"categories":3111},[],{"categories":3113},[132],{"categories":3115},[73],{"categories":3117},[73],{"categories":3119},[120],{"categories":3121},[115],{"categories":3123},[73],{"categories":3125},[],{"categories":3127},[73],{"categories":3129},[73],{"categories":3131},[2094],{"categories":3133},[],{"categories":3135},[73],{"categories":3137},[73],{"categories":3139},[73],{"categories":3141},[73],{"categories":3143},[200],{"categories":3145},[73],{"categories":3147},[],{"categories":3149},[73],{"categories":3151},[73],{"categories":3153},[73],{"categories":3155},[229],{"categories":3157},[154],{"categories":3159},[73],{"categories":3161},[73],{"categories":3163},[1693],{"categories":3165},[110],{"categories":3167},[73],{"categories":3169},[73],{"categories":3171},[157],{"categories":3173},[73],{"categories":3175},[73],{"categories":3177},[154],{"categories":3179},[120],{"categories":3181},[],{"categories":3183},[73],{"categories":3185},[73],{"categories":3187},[200],{"categories":3189},[73],{"categories":3191},[229],{"categories":3193},[120],{"categories":3195},[73],{"categories":3197},[120],{"categories":3199},[],{"categories":3201},[],{"categories":3203},[],{"categories":3205},[110],{"categories":3207},[154],{"categories":3209},[120],{"categories":3211},[73],{"categories":3213},[73],{"categories":3215},[73],{"categories":3217},[73],{"categories":3219},[381],{"categories":3221},[200],{"categories":3223},[120],{"categories":3225},[73],{"categories":3227},[],{"categories":3229},[120],{"categories":3231},[120],{"categories":3233},[],{"categories":3235},[73],{"categories":3237},[120],{"categories":3239},[73],{"categories":3241},[],{"categories":3243},[73],{"categories":3245},[73],{"categories":3247},[73],{"categories":3249},[154],{"categories":3251},[200],{"categories":3253},[120],{"categories":3255},[200],{"categories":3257},[120],{"categories":3259},[73],{"categories":3261},[115],{"categories":3263},[],{"categories":3265},[],{"categories":3267},[73],{"categories":3269},[73],{"categories":3271},[110],{"categories":3273},[120],{"categories":3275},[154],{"categories":3277},[],{"categories":3279},[200],{"categories":3281},[],{"categories":3283},[132],{"categories":3285},[73],{"categories":3287},[132],{"categories":3289},[200],{"categories":3291},[132],{"categories":3293},[73],{"categories":3295},[],{"categories":3297},[73],{"categories":3299},[73],{"categories":3301},[],{"categories":3303},[73],{"categories":3305},[229],{"categories":3307},[73],{"categories":3309},[266],{"categories":3311},[132],{"categories":3313},[73],{"categories":3315},[],{"categories":3317},[120],{"categories":3319},[73],{"categories":3321},[110],{"categories":3323},[492],{"categories":3325},[73],{"categories":3327},[120],{"categories":3329},[73],{"categories":3331},[120],{"categories":3333},[73],{"categories":3335},[73],{"categories":3337},[73],{"categories":3339},[],{"categories":3341},[73],{"categories":3343},[110],{"categories":3345},[73],{"categories":3347},[115],{"categories":3349},[132],{"categories":3351},[200],{"categories":3353},[],{"categories":3355},[73],{"categories":3357},[],{"categories":3359},[],{"categories":3361},[120],{"categories":3363},[73],{"categories":3365},[132],{"categories":3367},[200],{"categories":3369},[154],{"categories":3371},[73],{"categories":3373},[154],{"categories":3375},[120],{"categories":3377},[200],{"categories":3379},[73],{"categories":3381},[],{"categories":3383},[73],{"categories":3385},[143],{"categories":3387},[120],{"categories":3389},[200],{"categories":3391},[154],{"categories":3393},[115],{"categories":3395},[132],{"categories":3397},[73],{"categories":3399},[73],{"categories":3401},[154],{"categories":3403},[229],{"categories":3405},[],{"categories":3407},[],{"categories":3409},[157],{"categories":3411},[437],{"categories":3413},[73],{"categories":3415},[120],{"categories":3417},[73,132],{"categories":3419},[154],{"categories":3421},[73],{"categories":3423},[73],{"categories":3425},[73],{"categories":3427},[73],{"categories":3429},[120],{"categories":3431},[73],{"categories":3433},[120],{"categories":3435},[73],{"categories":3437},[73],{"categories":3439},[73],{"categories":3441},[],{"categories":3443},[73],{"categories":3445},[1163],{"categories":3447},[132],{"categories":3449},[200],{"categories":3451},[73],{"categories":3453},[73],{"categories":3455},[73],{"categories":3457},[157],{"categories":3459},[120],{"categories":3461},[229],{"categories":3463},[266],{"categories":3465},[],{"categories":3467},[73],{"categories":3469},[115],{"categories":3471},[120],{"categories":3473},[110],{"categories":3475},[120],{"categories":3477},[73],{"categories":3479},[120],{"categories":3481},[120],{"categories":3483},[123],{"categories":3485},[132],{"categories":3487},[73],{"categories":3489},[73],{"categories":3491},[],{"categories":3493},[],{"categories":3495},[],{"categories":3497},[266],{"categories":3499},[73],{"categories":3501},[154],{"categories":3503},[73],{"categories":3505},[73],{"categories":3507},[73],{"categories":3509},[73],{"categories":3511},[],{"categories":3513},[73],{"categories":3515},[157],{"categories":3517},[115],{"categories":3519},[120],{"categories":3521},[73],{"categories":3523},[],{"categories":3525},[73],{"categories":3527},[120],{"categories":3529},[73],{"categories":3531},[266],{"categories":3533},[],{"categories":3535},[200],{"categories":3537},[200],{"categories":3539},[],{"categories":3541},[132],{"categories":3543},[73],{"categories":3545},[200],{"categories":3547},[73],{"categories":3549},[115],{"categories":3551},[120],{"categories":3553},[73],{"categories":3555},[],{"categories":3557},[154],{"categories":3559},[73],{"categories":3561},[73],{"categories":3563},[73],{"categories":3565},[200],{"categories":3567},[120],{"categories":3569},[154],{"categories":3571},[],{"categories":3573},[120],{"categories":3575},[115],{"categories":3577},[120],{"categories":3579},[200],{"categories":3581},[73],{"categories":3583},[73],{"categories":3585},[73],{"categories":3587},[437],{"categories":3589},[73],{"categories":3591},[],{"categories":3593},[73],{"categories":3595},[73],{"categories":3597},[266],{"categories":3599},[154],{"categories":3601},[157],{"categories":3603},[528],{"categories":3605},[157],{"categories":3607},[73],{"categories":3609},[],{"categories":3611},[],{"categories":3613},[],{"categories":3615},[120],{"categories":3617},[120],{"categories":3619},[132],{"categories":3621},[73],{"categories":3623},[414],{"categories":3625},[132],{"categories":3627},[73],{"categories":3629},[73],{"categories":3631},[73],{"categories":3633},[73],{"categories":3635},[120],{"categories":3637},[],{"categories":3639},[],{"categories":3641},[73],{"categories":3643},[],{"categories":3645},[73],{"categories":3647},[120],{"categories":3649},[200],{"categories":3651},[73],{"categories":3653},[73],{"categories":3655},[],{"categories":3657},[120],{"categories":3659},[123],{"categories":3661},[73],{"categories":3663},[200],{"categories":3665},[73],{"categories":3667},[120],{"categories":3669},[115],{"categories":3671},[73],{"categories":3673},[229],{"categories":3675},[120],{"categories":3677},[73],{"categories":3679},[73],{"categories":3681},[828],{"categories":3683},[73],{"categories":3685},[120],{"categories":3687},[73],{"categories":3689},[132],{"categories":3691},[73],{"categories":3693},[492],{"categories":3695},[200],{"categories":3697},[],{"categories":3699},[73],{"categories":3701},[154],{"categories":3703},[437],{"categories":3705},[120],{"categories":3707},[73],{"categories":3709},[],{"categories":3711},[154],{"categories":3713},[358],{"categories":3715},[120],{"categories":3717},[120],{"categories":3719},[120],{"categories":3721},[73],{"categories":3723},[73],{"categories":3725},[120],{"categories":3727},[],{"categories":3729},[115],{"categories":3731},[73],{"categories":3733},[115],{"categories":3735},[120],{"categories":3737},[],{"categories":3739},[132],{"categories":3741},[73],{"categories":3743},[73],{"categories":3745},[110],{"categories":3747},[154],{"categories":3749},[266],{"categories":3751},[143],{"categories":3753},[120],{"categories":3755},[120],{"categories":3757},[73],{"categories":3759},[120],{"categories":3761},[73],{"categories":3763},[110],{"categories":3765},[],{"categories":3767},[73],{"categories":3769},[73],{"categories":3771},[73],{"categories":3773},[120],{"categories":3775},[73],{"categories":3777},[],{"categories":3779},[],{"categories":3781},[200],{"categories":3783},[120],{"categories":3785},[73,115],{"categories":3787},[120],{"categories":3789},[73],{"categories":3791},[],{"categories":3793},[110],{"categories":3795},[157],{"categories":3797},[115],{"categories":3799},[73],{"categories":3801},[132],{"categories":3803},[73],{"categories":3805},[73],{"categories":3807},[120],{"categories":3809},[73],{"categories":3811},[73],{"categories":3813},[73],{"categories":3815},[154],{"categories":3817},[1163],{"categories":3819},[120],{"categories":3821},[73],{"categories":3823},[],{"categories":3825},[],{"categories":3827},[73],{"categories":3829},[120],{"categories":3831},[73],{"categories":3833},[73],{"categories":3835},[266],{"categories":3837},[],{"categories":3839},[73],{"categories":3841},[120],{"categories":3843},[143],{"categories":3845},[120],{"categories":3847},[437],{"categories":3849},[],{"categories":3851},[381],{"categories":3853},[120],{"categories":3855},[73],{"categories":3857},[229],{"categories":3859},[120],{"categories":3861},[73],{"categories":3863},[157],{"categories":3865},[123],{"categories":3867},[120],{"categories":3869},[73],{"categories":3871},[437],{"categories":3873},[73],{"categories":3875},[266],{"categories":3877},[],{"categories":3879},[73],{"categories":3881},[229],{"categories":3883},[200],{"categories":3885},[73],{"categories":3887},[73],{"categories":3889},[73],{"categories":3891},[],{"categories":3893},[229],{"categories":3895},[154],{"categories":3897},[73],{"categories":3899},[73],{"categories":3901},[73],{"categories":3903},[528],{"categories":3905},[110],{"categories":3907},[73],{"categories":3909},[73],{"categories":3911},[],{"categories":3913},[],{"categories":3915},[200],{"categories":3917},[73],{"categories":3919},[157],{"categories":3921},[229],{"categories":3923},[120],{"categories":3925},[73],{"categories":3927},[73],{"categories":3929},[229],{"categories":3931},[154],{"categories":3933},[],{"categories":3935},[73],{"categories":3937},[73],{"categories":3939},[],{"categories":3941},[73],{"categories":3943},[73],{"categories":3945},[553],{"categories":3947},[73],{"categories":3949},[73],{"categories":3951},[120],{"categories":3953},[132],{"categories":3955},[437],{"categories":3957},[73],{"categories":3959},[73],{"categories":3961},[73],{"categories":3963},[],{"categories":3965},[73,132],{"categories":3967},[154],{"categories":3969},[120],{"categories":3971},[132],{"categories":3973},[120],{"categories":3975},[864],{"categories":3977},[132],{"categories":3979},[120],{"categories":3981},[73],{"categories":3983},[110],{"categories":3985},[],{"categories":3987},[],{"categories":3989},[120],{"categories":3991},[73],{"categories":3993},[132],{"categories":3995},[73],{"categories":3997},[110],{"categories":3999},[132],{"categories":4001},[132],{"categories":4003},[73],{"categories":4005},[229],{"categories":4007},[73],{"categories":4009},[132],{"categories":4011},[73],{"categories":4013},[],{"categories":4015},[73],{"categories":4017},[200,73],{"categories":4019},[266],{"categories":4021},[110],{"categories":4023},[73],{"categories":4025},[],{"categories":4027},[73],{"categories":4029},[73],{"categories":4031},[115],{"categories":4033},[73],{"categories":4035},[115],{"categories":4037},[73],{"categories":4039},[73],{"categories":4041},[358],{"categories":4043},[73],{"categories":4045},[115],{"categories":4047},[132],{"categories":4049},[157],{"categories":4051},[120],{"categories":4053},[132],{"categories":4055},[73],{"categories":4057},[73],{"categories":4059},[154],{"categories":4061},[229],{"categories":4063},[200],{"categories":4065},[73],{"categories":4067},[73],{"categories":4069},[73],{"categories":4071},[73],{"categories":4073},[110],{"categories":4075},[73],{"categories":4077},[120],{"categories":4079},[120],{"categories":4081},[132],{"categories":4083},[154],{"categories":4085},[132],{"categories":4087},[132],{"categories":4089},[73],{"categories":4091},[73],{"categories":4093},[],{"categories":4095},[],{"categories":4097},[157],{"categories":4099},[73],{"categories":4101},[132],{"categories":4103},[73],{"categories":4105},[200],{"categories":4107},[437],{"categories":4109},[381],{"categories":4111},[358],{"categories":4113},[73],{"categories":4115},[73],{"categories":4117},[73],{"categories":4119},[157],{"categories":4121},[73],{"categories":4123},[73],{"categories":4125},[73],{"categories":4127},[73],{"categories":4129},[73],{"categories":4131},[73],{"categories":4133},[120],{"categories":4135},[110],{"categories":4137},[120],{"categories":4139},[73,115],{"categories":4141},[],{"categories":4143},[200],{"categories":4145},[],{"categories":4147},[123],{"categories":4149},[73],{"categories":4151},[154],{"categories":4153},[110],{"categories":4155},[73],{"categories":4157},[110],{"categories":4159},[120],{"categories":4161},[157],{"categories":4163},[120],{"categories":4165},[120],{"categories":4167},[73],{"categories":4169},[73],{"categories":4171},[115],{"categories":4173},[120],{"categories":4175},[132],{"categories":4177},[229],{"categories":4179},[73],{"categories":4181},[],{"categories":4183},[154],{"categories":4185},[73],{"categories":4187},[73],{"categories":4189},[73],{"categories":4191},[73],{"categories":4193},[73],{"categories":4195},[73],{"categories":4197},[132],{"categories":4199},[154],{"categories":4201},[132],{"categories":4203},[132],{"categories":4205},[73],{"categories":4207},[73],{"categories":4209},[73],{"categories":4211},[381],{"categories":4213},[73],{"categories":4215},[120],{"categories":4217},[154],{"categories":4219},[73],{"categories":4221},[73],{"categories":4223},[73],{"categories":4225},[120],{"categories":4227},[73],{"categories":4229},[73],{"categories":4231},[73],{"categories":4233},[2932],{"categories":4235},[4236],"Clinical AI",{"categories":4238},[200],{"categories":4240},[73],{"categories":4242},[73],{"categories":4244},[73],{"categories":4246},[266],{"categories":4248},[2331],{"categories":4250},[73],{"categories":4252},[123],{"categories":4254},[73],{"categories":4256},[120],{"categories":4258},[73],{"categories":4260},[73],{"categories":4262},[154],{"categories":4264},[73],{"categories":4266},[120],{"categories":4268},[132],{"categories":4270},[229],{"categories":4272},[73],{"categories":4274},[73],{"categories":4276},[115],{"categories":4278},[73],{"categories":4280},[73],{"categories":4282},[492],{"categories":4284},[73],{"categories":4286},[],{"categories":4288},[73],{"categories":4290},[132],{"categories":4292},[110],{"categories":4294},[73],{"categories":4296},[],{"categories":4298},[],{"categories":4300},[73],{"categories":4302},[],{"categories":4304},[115],{"categories":4306},[73],{"categories":4308},[73],{"categories":4310},[120],{"categories":4312},[154],{"categories":4314},[154],{"categories":4316},[154],{"categories":4318},[154],{"categories":4320},[],{"categories":4322},[110],{"categories":4324},[120],{"categories":4326},[154],{"categories":4328},[73],{"categories":4330},[553],{"categories":4332},[123],{"categories":4334},[73],{"categories":4336},[110],{"categories":4338},[73],{"categories":4340},[120],{"categories":4342},[73],{"categories":4344},[73],{"categories":4346},[73,120],{"categories":4348},[120],{"categories":4350},[266],{"categories":4352},[154],{"categories":4354},[120],{"categories":4356},[154],{"categories":4358},[120],{"categories":4360},[73],{"categories":4362},[],{"categories":4364},[154],{"categories":4366},[229],{"categories":4368},[110],{"categories":4370},[73],{"categories":4372},[73],{"categories":4374},[],{"categories":4376},[132],{"categories":4378},[],{"categories":4380},[110],{"categories":4382},[120],{"categories":4384},[154],{"categories":4386},[73],{"categories":4388},[154],{"categories":4390},[110],{"categories":4392},[154],{"categories":4394},[154],{"categories":4396},[],{"categories":4398},[115],{"categories":4400},[120],{"categories":4402},[154],{"categories":4404},[154],{"categories":4406},[154],{"categories":4408},[154],{"categories":4410},[154],{"categories":4412},[154],{"categories":4414},[154],{"categories":4416},[154],{"categories":4418},[154],{"categories":4420},[154],{"categories":4422},[157],{"categories":4424},[110],{"categories":4426},[73],{"categories":4428},[73],{"categories":4430},[120],{"categories":4432},[120],{"categories":4434},[],{"categories":4436},[73],{"categories":4438},[73,110],{"categories":4440},[],{"categories":4442},[120],{"categories":4444},[73],{"categories":4446},[154],{"categories":4448},[120],{"categories":4450},[864],{"categories":4452},[73],{"categories":4454},[73],{"categories":4456},[73],{"categories":4458},[73],{"categories":4460},[73],{"categories":4462},[358],{"categories":4464},[73],{"categories":4466},[73],{"categories":4468},[120],{"categories":4470},[73],{"categories":4472},[115],{"categories":4474},[123],{"categories":4476},[120],{"categories":4478},[120],{"categories":4480},[],{"categories":4482},[120],{"categories":4484},[200],{"categories":4486},[154],{"categories":4488},[73],{"categories":4490},[],{"categories":4492},[123],{"categories":4494},[],{"categories":4496},[132],{"categories":4498},[120],{"categories":4500},[200],{"categories":4502},[73],{"categories":4504},[],{"categories":4506},[73],{"categories":4508},[],{"categories":4510},[229],{"categories":4512},[73],{"categories":4514},[],{"categories":4516},[],{"categories":4518},[154],{"categories":4520},[110],{"categories":4522},[73],{"categories":4524},[73],{"categories":4526},[115],{"categories":4528},[73],{"categories":4530},[73],{"categories":4532},[73],{"categories":4534},[115],{"categories":4536},[115],{"categories":4538},[200],{"categories":4540},[],{"categories":4542},[73],{"categories":4544},[154],{"categories":4546},[],{"categories":4548},[73],{"categories":4550},[73],{"categories":4552},[200],{"categories":4554},[73],{"categories":4556},[229],{"categories":4558},[73],{"categories":4560},[266],{"categories":4562},[],{"categories":4564},[120],{"categories":4566},[229],{"categories":4568},[132],{"categories":4570},[],{"categories":4572},[73],{"categories":4574},[],{"categories":4576},[120],{"categories":4578},[200],{"categories":4580},[132],{"categories":4582},[],{"categories":4584},[2932],{"categories":4586},[115],{"categories":4588},[110],{"categories":4590},[73],{"categories":4592},[157],{"categories":4594},[120],{"categories":4596},[200],{"categories":4598},[132],{"categories":4600},[],{"categories":4602},[],{"categories":4604},[73],{"categories":4606},[110],{"categories":4608},[73],{"categories":4610},[229],{"categories":4612},[],{"categories":4614},[120],{"categories":4616},[120],{"categories":4618},[73],{"categories":4620},[120],{"categories":4622},[73],{"categories":4624},[154],{"categories":4626},[132],{"categories":4628},[73],{"categories":4630},[120],{"categories":4632},[123],{"categories":4634},[73],{"categories":4636},[73],{"categories":4638},[120],{"categories":4640},[73],{"categories":4642},[123],{"categories":4644},[229],{"categories":4646},[154],{"categories":4648},[],{"categories":4650},[229],{"categories":4652},[73],{"categories":4654},[],{"categories":4656},[132],{"categories":4658},[120],{"categories":4660},[],{"categories":4662},[73],{"categories":4664},[73],{"categories":4666},[73],{"categories":4668},[73],{"categories":4670},[73],{"categories":4672},[120],{"categories":4674},[115],{"categories":4676},[110],{"categories":4678},[73],{"categories":4680},[200],{"categories":4682},[132],{"categories":4684},[132],{"categories":4686},[73],{"categories":4688},[157],{"categories":4690},[120],{"categories":4692},[73],{"categories":4694},[73],{"categories":4696},[120],{"categories":4698},[73],{"categories":4700},[115],{"categories":4702},[200],{"categories":4704},[132],{"categories":4706},[120],{"categories":4708},[73],{"categories":4710},[123],{"categories":4712},[73],{"categories":4714},[120],{"categories":4716},[73],{"categories":4718},[73],{"categories":4720},[154],{"categories":4722},[73],{"categories":4724},[],{"categories":4726},[110],{"categories":4728},[73],{"categories":4730},[73],{"categories":4732},[73],{"categories":4734},[132],{"categories":4736},[132],{"categories":4738},[73],{"categories":4740},[132],{"categories":4742},[73],{"categories":4744},[120],{"categories":4746},[73],{"categories":4748},[73],{"categories":4750},[73],{"categories":4752},[73],{"categories":4754},[73],{"categories":4756},[],{"categories":4758},[73],{"categories":4760},[200],{"categories":4762},[115],{"categories":4764},[154],{"categories":4766},[73],{"categories":4768},[120],{"categories":4770},[73],{"categories":4772},[120],{"categories":4774},[73],{"categories":4776},[73],{"categories":4778},[200],{"categories":4780},[120],{"categories":4782},[73],{"categories":4784},[229],{"categories":4786},[73],{"categories":4788},[157],{"categories":4790},[73],{"categories":4792},[73],{"categories":4794},[154],{"categories":4796},[73],{"categories":4798},[73],{"categories":4800},[73],{"categories":4802},[73],{"categories":4804},[120],{"categories":4806},[266],{"categories":4808},[73],{"categories":4810},[132],{"categories":4812},[120],{"categories":4814},[157],{"categories":4816},[],{"categories":4818},[120],{"categories":4820},[132],{"categories":4822},[73],{"categories":4824},[73],{"categories":4826},[2177],{"categories":4828},[200],{"categories":4830},[295],{"categories":4832},[73],{"categories":4834},[73],{"categories":4836},[73],{"categories":4838},[73],{"categories":4840},[110],{"categories":4842},[73],{"categories":4844},[73],{"categories":4846},[132],{"categories":4848},[115],{"categories":4850},[132],{"categories":4852},[73],{"categories":4854},[],{"categories":4856},[120],{"categories":4858},[120],{"categories":4860},[73],{"categories":4862},[73],{"categories":4864},[157],{"categories":4866},[],{"categories":4868},[154],{"categories":4870},[],{"categories":4872},[154],{"categories":4874},[73],{"categories":4876},[73],{"categories":4878},[120],{"categories":4880},[73],{"categories":4882},[120],{"categories":4884},[120],{"categories":4886},[],{"categories":4888},[154],{"categories":4890},[73],{"categories":4892},[],{"categories":4894},[73],{"categories":4896},[73],{"categories":4898},[],{"categories":4900},[73],{"categories":4902},[200],{"categories":4904},[132],{"categories":4906},[120],{"categories":4908},[73],{"categories":4910},[73],{"categories":4912},[73],{"categories":4914},[229],{"categories":4916},[73],{"categories":4918},[73],{"categories":4920},[73],{"categories":4922},[110],{"categories":4924},[73],{"categories":4926},[73],{"categories":4928},[],{"categories":4930},[73],{"categories":4932},[73],{"categories":4934},[],{"categories":4936},[110],{"categories":4938},[73],{"categories":4940},[154],{"categories":4942},[132],{"categories":4944},[123],{"categories":4946},[437],{"categories":4948},[73],{"categories":4950},[73],{"categories":4952},[73],{"categories":4954},[132],{"categories":4956},[154],{"categories":4958},[200],{"categories":4960},[73],{"categories":4962},[73],{"categories":4964},[73],{"categories":4966},[73],{"categories":4968},[154],{"categories":4970},[200],{"categories":4972},[73],{"categories":4974},[73],{"categories":4976},[154],{"categories":4978},[200],{"categories":4980},[73],{"categories":4982},[154],{"categories":4984},[73],{"categories":4986},[120],{"categories":4988},[120],{"categories":4990},[120],{"categories":4992},[132],{"categories":4994},[154],{"categories":4996},[120],{"categories":4998},[120],{"categories":5000},[73],{"categories":5002},[132],{"categories":5004},[200],{"categories":5006},[73],{"categories":5008},[73],{"categories":5010},[73],{"categories":5012},[],{"categories":5014},[120],{"categories":5016},[],{"categories":5018},[73],{"categories":5020},[73],{"categories":5022},[],{"categories":5024},[],{"categories":5026},[120],{"categories":5028},[115],{"categories":5030},[120],{"categories":5032},[5033],"Liability & Ethics",{"categories":5035},[73],{"categories":5037},[73],{"categories":5039},[120],{"categories":5041},[110],{"categories":5043},[120],{"categories":5045},[115],{"categories":5047},[229],{"categories":5049},[120],{"categories":5051},[73],{"categories":5053},[73],{"categories":5055},[],{"categories":5057},[528],{"categories":5059},[120],{"categories":5061},[],{"categories":5063},[73],{"categories":5065},[110],{"categories":5067},[120],{"categories":5069},[],{"categories":5071},[120],{"categories":5073},[73],{"categories":5075},[73],{"categories":5077},[132],{"categories":5079},[73],{"categories":5081},[154],{"categories":5083},[73],{"categories":5085},[73],{"categories":5087},[120],{"categories":5089},[73],{"categories":5091},[73],{"categories":5093},[73],{"categories":5095},[154],{"categories":5097},[120],{"categories":5099},[132],{"categories":5101},[200],{"categories":5103},[110],{"categories":5105},[73],{"categories":5107},[73],{"categories":5109},[],{"categories":5111},[120],{"categories":5113},[120],{"categories":5115},[120],{"categories":5117},[437],{"categories":5119},[200],{"categories":5121},[120],{"categories":5123},[266],{"categories":5125},[132],{"categories":5127},[154],{"categories":5129},[73],{"categories":5131},[200],{"categories":5133},[73],{"categories":5135},[110],{"categories":5137},[],{"categories":5139},[120],{"categories":5141},[73],{"categories":5143},[73],{"categories":5145},[73],{"categories":5147},[120],{"categories":5149},[73],{"categories":5151},[200],{"categories":5153},[],{"categories":5155},[120],{"categories":5157},[123],{"categories":5159},[154],{"categories":5161},[120],{"categories":5163},[115],{"categories":5165},[],{"categories":5167},[73],{"categories":5169},[73],{"categories":5171},[123],{"categories":5173},[73],{"categories":5175},[120],{"categories":5177},[154],{"categories":5179},[110],{"categories":5181},[266],{"categories":5183},[73],{"categories":5185},[73],{"categories":5187},[73],{"categories":5189},[154],{"categories":5191},[115],{"categories":5193},[73],{"categories":5195},[200],{"categories":5197},[154],{"categories":5199},[266],{"categories":5201},[73],{"categories":5203},[120],{"categories":5205},[],{"categories":5207},[492],{"categories":5209},[],{"categories":5211},[73],{"categories":5213},[266],{"categories":5215},[73],{"categories":5217},[157],{"categories":5219},[120],{"categories":5221},[120],{"categories":5223},[5224],"Design News & Tools",{"categories":5226},[73],{"categories":5228},[154],{"categories":5230},[73],{"categories":5232},[73],{"categories":5234},[110],{"categories":5236},[73],{"categories":5238},[200],{"categories":5240},[120],{"categories":5242},[120],{"categories":5244},[200],{"categories":5246},[73],{"categories":5248},[437],{"categories":5250},[120],{"categories":5252},[73],{"categories":5254},[73],{"categories":5256},[437],{"categories":5258},[73],{"categories":5260},[229],{"categories":5262},[73],{"categories":5264},[120],{"categories":5266},[],{"categories":5268},[73],{"categories":5270},[73],{"categories":5272},[73],{"categories":5274},[154],{"categories":5276},[110],{"categories":5278},[],{"categories":5280},[73],{"categories":5282},[73],{"categories":5284},[73],{"categories":5286},[132],{"categories":5288},[553],{"categories":5290},[132],{"categories":5292},[200],{"categories":5294},[73],{"categories":5296},[73,120],{"categories":5298},[229,115],{"categories":5300},[132],{"categories":5302},[73],{"categories":5304},[73],{"categories":5306},[73],{"categories":5308},[73],{"categories":5310},[],{"categories":5312},[120],{"categories":5314},[73],{"categories":5316},[],{"categories":5318},[73],{"categories":5320},[132],{"categories":5322},[73],{"categories":5324},[132],{"categories":5326},[],{"categories":5328},[120],{"categories":5330},[73],{"categories":5332},[115],{"categories":5334},[73],{"categories":5336},[154],{"categories":5338},[73],{"categories":5340},[],{"categories":5342},[120],{"categories":5344},[73],{"categories":5346},[],{"categories":5348},[200],{"categories":5350},[73],{"categories":5352},[73],{"categories":5354},[120],{"categories":5356},[73],{"categories":5358},[73],{"categories":5360},[110],{"categories":5362},[120],{"categories":5364},[73],{"categories":5366},[],{"categories":5368},[266],{"categories":5370},[229],{"categories":5372},[115],{"categories":5374},[115],{"categories":5376},[73],{"categories":5378},[110],{"categories":5380},[110],{"categories":5382},[73],{"categories":5384},[120],{"categories":5386},[73],{"categories":5388},[73],{"categories":5390},[73],{"categories":5392},[73],{"categories":5394},[132],{"categories":5396},[73],{"categories":5398},[110],{"categories":5400},[73],{"categories":5402},[120],{"categories":5404},[73],{"categories":5406},[229],{"categories":5408},[73],{"categories":5410},[154],{"categories":5412},[73],{"categories":5414},[73],{"categories":5416},[120],{"categories":5418},[73],{"categories":5420},[120],{"categories":5422},[],{"categories":5424},[132],{"categories":5426},[],{"categories":5428},[132],{"categories":5430},[120],{"categories":5432},[110],{"categories":5434},[],{"categories":5436},[157],{"categories":5438},[266],{"categories":5440},[73],{"categories":5442},[132],{"categories":5444},[73],{"categories":5446},[],{"categories":5448},[154],{"categories":5450},[120],{"categories":5452},[132],{"categories":5454},[200],{"categories":5456},[73],{"categories":5458},[73],{"categories":5460},[120],{"categories":5462},[132],{"categories":5464},[120],{"categories":5466},[154],{"categories":5468},[73],{"categories":5470},[123],{"categories":5472},[110],{"categories":5474},[123],{"categories":5476},[154],{"categories":5478},[73],{"categories":5480},[132],{"categories":5482},[73],{"categories":5484},[200],{"categories":5486},[115],{"categories":5488},[73],{"categories":5490},[73],{"categories":5492},[73],{"categories":5494},[73],{"categories":5496},[73],{"categories":5498},[73],{"categories":5500},[120],{"categories":5502},[73],{"categories":5504},[120],{"categories":5506},[73],{"categories":5508},[73],{"categories":5510},[110],{"categories":5512},[73],{"categories":5514},[120],{"categories":5516},[120],{"categories":5518},[200],{"categories":5520},[120],{"categories":5522},[120],{"categories":5524},[110],{"categories":5526},[120],{"categories":5528},[200],{"categories":5530},[],{"categories":5532},[73],{"categories":5534},[157],{"categories":5536},[437],{"categories":5538},[73],{"categories":5540},[73],{"categories":5542},[73],{"categories":5544},[132],{"categories":5546},[73],{"categories":5548},[],{"categories":5550},[73],{"categories":5552},[120],{"categories":5554},[73],{"categories":5556},[229],{"categories":5558},[73],{"categories":5560},[154],{"categories":5562},[120],{"categories":5564},[73],{"categories":5566},[229],{"categories":5568},[120],{"categories":5570},[115],{"categories":5572},[115],{"categories":5574},[73],{"categories":5576},[73],{"categories":5578},[73],{"categories":5580},[73],{"categories":5582},[73],{"categories":5584},[110],{"categories":5586},[],{"categories":5588},[73],{"categories":5590},[73],{"categories":5592},[120],{"categories":5594},[120],{"categories":5596},[73],{"categories":5598},[73],{"categories":5600},[73],{"categories":5602},[132],{"categories":5604},[],{"categories":5606},[110],{"categories":5608},[73],{"categories":5610},[73],{"categories":5612},[120],{"categories":5614},[120],{"categories":5616},[],{"categories":5618},[132],{"categories":5620},[132],{"categories":5622},[73],{"categories":5624},[229],{"categories":5626},[115],{"categories":5628},[200],{"categories":5630},[],{"categories":5632},[73],{"categories":5634},[120],{"categories":5636},[110],{"categories":5638},[73],{"categories":5640},[73],{"categories":5642},[132],{"categories":5644},[110],{"categories":5646},[73],{"categories":5648},[73],{"categories":5650},[154],{"categories":5652},[157],{"categories":5654},[154],{"categories":5656},[120],{"categories":5658},[73],{"categories":5660},[],{"categories":5662},[154],{"categories":5664},[120],{"categories":5666},[200],{"categories":5668},[157],{"categories":5670},[73],{"categories":5672},[73],{"categories":5674},[],{"categories":5676},[120],{"categories":5678},[120],{"categories":5680},[120],{"categories":5682},[2932],{"categories":5684},[154],{"categories":5686},[73],{"categories":5688},[132],{"categories":5690},[73],{"categories":5692},[73],{"categories":5694},[73],{"categories":5696},[73],{"categories":5698},[115],{"categories":5700},[73],{"categories":5702},[110],{"categories":5704},[1693],{"categories":5706},[266],{"categories":5708},[110],{"categories":5710},[],{"categories":5712},[73],{"categories":5714},[],{"categories":5716},[154],{"categories":5718},[120],{"categories":5720},[200],{"categories":5722},[73],{"categories":5724},[73],{"categories":5726},[154],{"categories":5728},[],{"categories":5730},[120],{"categories":5732},[120],{"categories":5734},[120],{"categories":5736},[],{"categories":5738},[73],{"categories":5740},[],{"categories":5742},[154],{"categories":5744},[110],{"categories":5746},[200],{"categories":5748},[73],{"categories":5750},[120],{"categories":5752},[154],{"categories":5754},[73],{"categories":5756},[154],{"categories":5758},[],{"categories":5760},[154],{"categories":5762},[110],{"categories":5764},[437],{"categories":5766},[120],{"categories":5768},[73],{"categories":5770},[],{"categories":5772},[132],{"categories":5774},[120],{"categories":5776},[123],{"categories":5778},[120],{"categories":5780},[110],{"categories":5782},[],{"categories":5784},[],{"categories":5786},[],{"categories":5788},[200],{"categories":5790},[120],{"categories":5792},[73],{"categories":5794},[73],{"categories":5796},[],{"categories":5798},[],{"categories":5800},[],{"categories":5802},[73],{"categories":5804},[200],{"categories":5806},[73],{"categories":5808},[],{"categories":5810},[120],{"categories":5812},[73],{"categories":5814},[73],{"categories":5816},[110],{"categories":5818},[],{"categories":5820},[],{"categories":5822},[73],{"categories":5824},[200],{"categories":5826},[73],{"categories":5828},[154],{"categories":5830},[],{"categories":5832},[73],{"categories":5834},[229],{"categories":5836},[154],{"categories":5838},[229],{"categories":5840},[157],{"categories":5842},[73],{"categories":5844},[73],{"categories":5846},[],{"categories":5848},[],{"categories":5850},[120],{"categories":5852},[],{"categories":5854},[73],{"categories":5856},[437],{"categories":5858},[73],{"categories":5860},[73],{"categories":5862},[73],{"categories":5864},[73],{"categories":5866},[],{"categories":5868},[120],{"categories":5870},[73],{"categories":5872},[73],{"categories":5874},[],{"categories":5876},[120],{"categories":5878},[73],{"categories":5880},[154],{"categories":5882},[73],{"categories":5884},[229],{"categories":5886},[115],{"categories":5888},[73],{"categories":5890},[73],{"categories":5892},[120],{"categories":5894},[157],{"categories":5896},[120],{"categories":5898},[120],{"categories":5900},[],{"categories":5902},[120],{"categories":5904},[],{"categories":5906},[73],{"categories":5908},[],{"categories":5910},[154],{"categories":5912},[115],{"categories":5914},[],{"categories":5916},[73],{"categories":5918},[73],{"categories":5920},[],{"categories":5922},[200],{"categories":5924},[110],{"categories":5926},[],{"categories":5928},[115],{"categories":5930},[229],{"categories":5932},[73],{"categories":5934},[132],{"categories":5936},[110],{"categories":5938},[157],{"categories":5940},[115],{"categories":5942},[132],{"categories":5944},[120],{"categories":5946},[132],{"categories":5948},[],{"categories":5950},[73],{"categories":5952},[123],{"categories":5954},[73],{"categories":5956},[],{"categories":5958},[120],{"categories":5960},[110],{"categories":5962},[200],{"categories":5964},[73],{"categories":5966},[110],{"categories":5968},[120],{"categories":5970},[266],{"categories":5972},[73],{"categories":5974},[73],{"categories":5976},[73],{"categories":5978},[110],{"categories":5980},[157],{"categories":5982},[120],{"categories":5984},[],{"categories":5986},[73],{"categories":5988},[73],{"categories":5990},[73],{"categories":5992},[132],{"categories":5994},[120],{"categories":5996},[154],{"categories":5998},[132],{"categories":6000},[73],{"categories":6002},[123],{"categories":6004},[],{"categories":6006},[200],{"categories":6008},[132],{"categories":6010},[154],{"categories":6012},[110],{"categories":6014},[120],{"categories":6016},[73],{"categories":6018},[73],{"categories":6020},[120],{"categories":6022},[123],{"categories":6024},[73],{"categories":6026},[120],{"categories":6028},[73],{"categories":6030},[115],{"categories":6032},[120],{"categories":6034},[120,266],{"categories":6036},[73],{"categories":6038},[73],{"categories":6040},[120],{"categories":6042},[132],{"categories":6044},[73],{"categories":6046},[73],{"categories":6048},[157],{"categories":6050},[120],{"categories":6052},[229],{"categories":6054},[120],{"categories":6056},[115],{"categories":6058},[],{"categories":6060},[120],{"categories":6062},[73],{"categories":6064},[115],{"categories":6066},[],{"categories":6068},[],{"categories":6070},[132],{"categories":6072},[73],{"categories":6074},[73],{"categories":6076},[120],{"categories":6078},[157],{"categories":6080},[229],{"categories":6082},[73],{"categories":6084},[73],{"categories":6086},[120],{"categories":6088},[],{"categories":6090},[120],{"categories":6092},[154],{"categories":6094},[120],{"categories":6096},[73],{"categories":6098},[],{"categories":6100},[154],{"categories":6102},[132],{"categories":6104},[2932],{"categories":6106},[110],{"categories":6108},[132],{"categories":6110},[73],{"categories":6112},[120],{"categories":6114},[73],{"categories":6116},[73],{"categories":6118},[229],{"categories":6120},[132],{"categories":6122},[],{"categories":6124},[154],{"categories":6126},[73],{"categories":6128},[],{"categories":6130},[120],{"categories":6132},[73],{"categories":6134},[73],{"categories":6136},[73],{"categories":6138},[73],{"categories":6140},[120],{"categories":6142},[73],{"categories":6144},[73],{"categories":6146},[123],{"categories":6148},[73],{"categories":6150},[120],{"categories":6152},[73],{"categories":6154},[73],{"categories":6156},[73],{"categories":6158},[73],{"categories":6160},[73],{"categories":6162},[73],{"categories":6164},[73],{"categories":6166},[115],{"categories":6168},[],{"categories":6170},[123],{"categories":6172},[154],{"categories":6174},[120],{"categories":6176},[73],{"categories":6178},[132],{"categories":6180},[],{"categories":6182},[132],{"categories":6184},[132],{"categories":6186},[120],{"categories":6188},[132],{"categories":6190},[73],{"categories":6192},[73],{"categories":6194},[73],{"categories":6196},[120],{"categories":6198},[132],{"categories":6200},[73],{"categories":6202},[73],{"categories":6204},[73],{"categories":6206},[120],{"categories":6208},[154],{"categories":6210},[73],{"categories":6212},[73],{"categories":6214},[73],{"categories":6216},[115],{"categories":6218},[73],{"categories":6220},[120],{"categories":6222},[200],{"categories":6224},[],{"categories":6226},[73],{"categories":6228},[157],{"categories":6230},[120],{"categories":6232},[73],{"categories":6234},[73],{"categories":6236},[],{"categories":6238},[73],{"categories":6240},[73],{"categories":6242},[154],{"categories":6244},[73],{"categories":6246},[73],{"categories":6248},[120],{"categories":6250},[229],{"categories":6252},[],{"categories":6254},[],{"categories":6256},[132],{"categories":6258},[73],{"categories":6260},[154],{"categories":6262},[73],{"categories":6264},[132],{"categories":6266},[154],{"categories":6268},[73],{"categories":6270},[229],{"categories":6272},[157],{"categories":6274},[73],{"categories":6276},[73],{"categories":6278},[110],{"categories":6280},[120],{"categories":6282},[73],{"categories":6284},[73],{"categories":6286},[120],{"categories":6288},[120],{"categories":6290},[73],{"categories":6292},[115],{"categories":6294},[],{"categories":6296},[157],{"categories":6298},[73],{"categories":6300},[],{"categories":6302},[154],{"categories":6304},[73],{"categories":6306},[157],{"categories":6308},[73],{"categories":6310},[132],{"categories":6312},[132],{"categories":6314},[132],{"categories":6316},[120],{"categories":6318},[120],{"categories":6320},[73],{"categories":6322},[120],{"categories":6324},[73],{"categories":6326},[73],{"categories":6328},[200],{"categories":6330},[157],{"categories":6332},[157],{"categories":6334},[],{"categories":6336},[154],{"categories":6338},[73],{"categories":6340},[73],{"categories":6342},[132],{"categories":6344},[],{"categories":6346},[154],{"categories":6348},[154],{"categories":6350},[154],{"categories":6352},[],{"categories":6354},[120],{"categories":6356},[73],{"categories":6358},[],{"categories":6360},[110],{"categories":6362},[115],{"categories":6364},[],{"categories":6366},[73],{"categories":6368},[73],{"categories":6370},[],{"categories":6372},[132],{"categories":6374},[],{"categories":6376},[],{"categories":6378},[],{"categories":6380},[],{"categories":6382},[73],{"categories":6384},[154],{"categories":6386},[],{"categories":6388},[],{"categories":6390},[73],{"categories":6392},[73],{"categories":6394},[73],{"categories":6396},[157],{"categories":6398},[73],{"categories":6400},[157],{"categories":6402},[],{"categories":6404},[157],{"categories":6406},[157],{"categories":6408},[266],{"categories":6410},[120],{"categories":6412},[132],{"categories":6414},[],{"categories":6416},[],{"categories":6418},[157],{"categories":6420},[132],{"categories":6422},[132],{"categories":6424},[132],{"categories":6426},[],{"categories":6428},[110],{"categories":6430},[132],{"categories":6432},[132],{"categories":6434},[110],{"categories":6436},[132],{"categories":6438},[115],{"categories":6440},[132],{"categories":6442},[132],{"categories":6444},[132],{"categories":6446},[157],{"categories":6448},[154],{"categories":6450},[154],{"categories":6452},[73],{"categories":6454},[132],{"categories":6456},[157],{"categories":6458},[266],{"categories":6460},[157],{"categories":6462},[157],{"categories":6464},[157],{"categories":6466},[],{"categories":6468},[115],{"categories":6470},[],{"categories":6472},[266],{"categories":6474},[132],{"categories":6476},[132],{"categories":6478},[132],{"categories":6480},[120],{"categories":6482},[154,115],{"categories":6484},[157],{"categories":6486},[],{"categories":6488},[],{"categories":6490},[157],{"categories":6492},[],{"categories":6494},[157],{"categories":6496},[154],{"categories":6498},[120],{"categories":6500},[],{"categories":6502},[132],{"categories":6504},[73],{"categories":6506},[200],{"categories":6508},[],{"categories":6510},[73],{"categories":6512},[],{"categories":6514},[154],{"categories":6516},[110],{"categories":6518},[157],{"categories":6520},[],{"categories":6522},[132],{"categories":6524},[154],[6526,6594,6674,6749],{"id":6527,"title":6528,"ai":6529,"body":6534,"categories":6576,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6577,"navigation":89,"path":6583,"published_at":6584,"question":74,"scraped_at":6584,"seo":6585,"sitemap":6586,"source_id":6587,"source_name":95,"source_type":96,"source_url":6588,"stem":6589,"tags":6590,"thumbnail_url":74,"tldr":6591,"tweet":74,"unknown_tags":6592,"__hash__":6593},"summaries\u002Fsummaries\u002F6ae936f6adb195af-safe-multi-agent-rl-via-constraint-manifold-contro-summary.md","Safe Multi-Agent RL via Constraint Manifold Control",{"provider":7,"model":8,"input_tokens":6530,"output_tokens":6531,"processing_time_ms":6532,"cost_usd":6533},5935,384,2316,0.00205975,{"type":14,"value":6535,"toc":6571},[6536,6540,6543,6547,6550,6564,6568],[17,6537,6539],{"id":6538},"the-safety-efficiency-trade-off-in-multi-agent-systems","The Safety-Efficiency Trade-off in Multi-Agent Systems",[22,6541,6542],{},"Traditional multi-agent reinforcement learning (MARL) often struggles with a fundamental conflict: learning-based methods excel at complex coordination but lack rigorous safety guarantees, while control-theoretic approaches provide safety at the cost of overly conservative, inefficient behavior. This paper introduces a hierarchical framework that resolves this by decoupling high-level coordination from low-level safety enforcement.",[17,6544,6546],{"id":6545},"hierarchical-constraint-manifold-control","Hierarchical Constraint Manifold Control",[22,6548,6549],{},"The proposed architecture utilizes a two-tier structure:",[36,6551,6552,6558],{},[39,6553,6554,6557],{},[42,6555,6556],{},"High-Level Policy:"," Focuses on learning effective coordination strategies to achieve task objectives.",[39,6559,6560,6563],{},[42,6561,6562],{},"Low-Level Controller:"," Enforces hard safety constraints using a constraint manifold. By operating on this manifold, the system ensures that agent actions remain within safe boundaries under mild assumptions, without requiring the high-level policy to explicitly calculate safety constraints at every step.",[17,6565,6567],{"id":6566},"stability-and-generalization","Stability and Generalization",[22,6569,6570],{},"By integrating constraint manifold control, the framework achieves stationary learning dynamics, which significantly stabilizes the training process compared to standard MARL methods. The approach demonstrates strong empirical performance, maintaining nearly perfect safety rates in testing environments. Furthermore, the hierarchical design allows the agents to generalize effectively to dynamic scenarios, including environments with varying numbers of agents and obstacles, proving that safety-constrained learning does not have to sacrifice scalability or adaptability.",{"title":66,"searchDepth":67,"depth":67,"links":6572},[6573,6574,6575],{"id":6538,"depth":67,"text":6539},{"id":6545,"depth":67,"text":6546},{"id":6566,"depth":67,"text":6567},[73],{"content_references":6578,"triage":6579},[],{"relevance":6580,"novelty":86,"quality":86,"actionability":67,"composite":6581,"reasoning":6582},3,3.25,"Category: AI & LLMs. The article discusses a novel hierarchical framework for multi-agent reinforcement learning that addresses safety and efficiency, which is relevant to AI engineering. However, it lacks practical applications or frameworks that the target audience can directly implement in their projects.","\u002Fsummaries\u002F6ae936f6adb195af-safe-multi-agent-rl-via-constraint-manifold-contro-summary","2026-06-24 12:56:40",{"title":6528,"description":66},{"loc":6583},"6ae936f6adb195af","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.24010","summaries\u002F6ae936f6adb195af-safe-multi-agent-rl-via-constraint-manifold-contro-summary",[100,99,101],"A hierarchical reinforcement learning framework that balances coordination efficiency with theoretical safety by enforcing hard constraints at the low level via a constraint manifold.",[101],"t2LOKfaIcjSlArC9QXDQIWHjq8x6E1Yn5A32U6ij9aw",{"id":6595,"title":6596,"ai":6597,"body":6602,"categories":6653,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6654,"navigation":89,"path":6664,"published_at":6665,"question":74,"scraped_at":6665,"seo":6666,"sitemap":6667,"source_id":6668,"source_name":95,"source_type":96,"source_url":6659,"stem":6669,"tags":6670,"thumbnail_url":74,"tldr":6671,"tweet":74,"unknown_tags":6672,"__hash__":6673},"summaries\u002Fsummaries\u002F77005f669ad75e00-skill-guided-continuation-distillation-for-gui-age-summary.md","Skill-Guided Continuation Distillation for GUI Agents",{"provider":7,"model":8,"input_tokens":6598,"output_tokens":6599,"processing_time_ms":6600,"cost_usd":6601},4039,557,3662,0.00184525,{"type":14,"value":6603,"toc":6648},[6604,6608,6611,6615,6618,6622,6642],[17,6605,6607],{"id":6606},"the-challenge-of-gui-agent-generalization","The Challenge of GUI Agent Generalization",[22,6609,6610],{},"GUI agents often struggle with long-horizon tasks because they rely on monolithic trajectory learning, which fails to generalize across varying interface layouts or unexpected application states. The core problem is that standard imitation learning or reinforcement learning approaches treat GUI interaction as a sequence of raw pixels or DOM elements without decomposing the underlying intent into reusable components.",[17,6612,6614],{"id":6613},"skill-guided-continuation-distillation","Skill-Guided Continuation Distillation",[22,6616,6617],{},"This research proposes a framework that decomposes complex GUI interaction into discrete, reusable 'skills.' Instead of training an agent to map a full task from start to finish, the authors use a distillation process that forces the agent to learn intermediate sub-goals (skills). By guiding the distillation process with these explicit skills, the agent learns to predict the 'continuation' of a task—essentially learning how to transition from one functional state to the next.",[17,6619,6621],{"id":6620},"key-advantages-of-skill-based-decomposition","Key Advantages of Skill-Based Decomposition",[36,6623,6624,6630,6636],{},[39,6625,6626,6629],{},[42,6627,6628],{},"Improved Robustness:"," By focusing on skill completion rather than raw action prediction, the agent becomes more resilient to minor UI changes or latency issues.",[39,6631,6632,6635],{},[42,6633,6634],{},"Modular Training:"," The framework allows for the independent training and refinement of specific skills (e.g., 'navigating a menu' vs. 'filling a form'), which can then be composed to solve novel, complex tasks.",[39,6637,6638,6641],{},[42,6639,6640],{},"Efficiency:"," Distillation reduces the computational overhead during inference, as the agent relies on learned skill representations rather than needing to process the entire history of a long-running task.",[22,6643,6644],{},[6645,6646,6647],"em",{},"Note: This summary is based on the provided metadata for arXiv:2606.18890. As the full text of the paper was not provided in the source, this summary reflects the core methodology described in the abstract and research context.",{"title":66,"searchDepth":67,"depth":67,"links":6649},[6650,6651,6652],{"id":6606,"depth":67,"text":6607},{"id":6613,"depth":67,"text":6614},{"id":6620,"depth":67,"text":6621},[73],{"content_references":6655,"triage":6661},[6656],{"type":80,"title":6596,"author":6657,"publisher":6658,"url":6659,"context":6660},"Unknown","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.18890","reviewed",{"relevance":86,"novelty":86,"quality":86,"actionability":6580,"composite":6662,"reasoning":6663},3.8,"Category: AI & LLMs. The article discusses a novel method for improving GUI agent performance through skill-based decomposition, addressing a specific pain point of generalization in AI agents. It provides insights into a new framework that could be actionable for developers looking to enhance AI capabilities in GUI interactions.","\u002Fsummaries\u002F77005f669ad75e00-skill-guided-continuation-distillation-for-gui-age-summary","2026-06-18 12:57:00",{"title":6596,"description":66},{"loc":6664},"77005f669ad75e00","summaries\u002F77005f669ad75e00-skill-guided-continuation-distillation-for-gui-age-summary",[99,100,101],"The paper introduces a method to improve GUI agent performance by distilling complex task trajectories into modular, skill-based sub-tasks, enhancing generalization and execution reliability.",[101],"kh5iSG1nwdfzLihOBswLZE-0XutSnLDjUYWf-UQ4X98",{"id":6675,"title":6676,"ai":6677,"body":6682,"categories":6731,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6732,"navigation":89,"path":6739,"published_at":6740,"question":74,"scraped_at":6740,"seo":6741,"sitemap":6742,"source_id":6743,"source_name":95,"source_type":96,"source_url":6736,"stem":6744,"tags":6745,"thumbnail_url":74,"tldr":6746,"tweet":74,"unknown_tags":6747,"__hash__":6748},"summaries\u002Fsummaries\u002F8fa2d3c616e26ae8-orchestra-o1-a-framework-for-omnimodal-agent-orche-summary.md","Orchestra-o1: A Framework for Omnimodal Agent Orchestration",{"provider":7,"model":8,"input_tokens":6678,"output_tokens":6679,"processing_time_ms":6680,"cost_usd":6681},4080,650,3668,0.001995,{"type":14,"value":6683,"toc":6726},[6684,6688,6691,6695,6698,6719,6723],[17,6685,6687],{"id":6686},"the-challenge-of-omnimodal-orchestration","The Challenge of Omnimodal Orchestration",[22,6689,6690],{},"Orchestra-o1 addresses the growing complexity of deploying AI agents that must operate across multiple data modalities—such as text, vision, and audio—simultaneously. Traditional agentic frameworks often struggle with the synchronization and reasoning overhead required when an agent needs to switch between or integrate disparate input types to solve a single, multi-step objective. The core contribution of Orchestra-o1 is a structured orchestration layer that manages state, context, and tool-use across these modalities, ensuring that the agent maintains coherence throughout long-horizon tasks.",[17,6692,6694],{"id":6693},"architectural-approach-to-agent-coordination","Architectural Approach to Agent Coordination",[22,6696,6697],{},"The framework focuses on three primary pillars to improve agent performance:",[6699,6700,6701,6707,6713],"ol",{},[39,6702,6703,6706],{},[42,6704,6705],{},"Modality-Agnostic State Management:"," By decoupling the reasoning engine from the specific input modality, the system allows agents to maintain a persistent 'world state' that is updated regardless of whether the incoming data is visual, textual, or auditory. This prevents context fragmentation, a common failure point in multi-modal agentic workflows.",[39,6708,6709,6712],{},[42,6710,6711],{},"Dynamic Task Decomposition:"," Orchestra-o1 employs a hierarchical planning mechanism that breaks down high-level user goals into modality-specific sub-tasks. This allows the system to route specific parts of a request to the most capable sub-agent or tool, optimizing for both accuracy and latency.",[39,6714,6715,6718],{},[42,6716,6717],{},"Cross-Modal Feedback Loops:"," The architecture implements a verification step where outputs from one modality (e.g., a generated image or code snippet) are cross-referenced against the original intent using a different modality (e.g., text-based validation or visual inspection). This self-correction mechanism significantly reduces hallucination rates in complex, multi-step environments.",[17,6720,6722],{"id":6721},"practical-implications-for-ai-engineering","Practical Implications for AI Engineering",[22,6724,6725],{},"For developers building agentic systems, Orchestra-o1 suggests a shift away from 'monolithic' agent models toward a more modular, orchestrated approach. By treating orchestration as a first-class citizen rather than an afterthought, developers can build agents that are more robust to noise and better equipped to handle real-world, messy data inputs. The framework emphasizes that the bottleneck for current AI agents is not just model intelligence, but the ability to reliably sequence and validate actions across different sensory inputs.",{"title":66,"searchDepth":67,"depth":67,"links":6727},[6728,6729,6730],{"id":6686,"depth":67,"text":6687},{"id":6693,"depth":67,"text":6694},{"id":6721,"depth":67,"text":6722},[73],{"content_references":6733,"triage":6737},[6734],{"type":80,"title":6735,"author":6657,"url":6736,"context":83},"Orchestra-o1: Omnimodal Agent Orchestration","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.13707",{"relevance":85,"novelty":86,"quality":86,"actionability":86,"composite":87,"reasoning":6738},"Category: AI & LLMs. The article provides a detailed framework for orchestrating omnimodal AI agents, addressing a specific pain point of managing multi-modal data in AI systems. It offers actionable insights on state management and task decomposition that developers can implement in their projects.","\u002Fsummaries\u002F8fa2d3c616e26ae8-orchestra-o1-a-framework-for-omnimodal-agent-orche-summary","2026-06-15 12:57:01",{"title":6676,"description":66},{"loc":6739},"8fa2d3c616e26ae8","summaries\u002F8fa2d3c616e26ae8-orchestra-o1-a-framework-for-omnimodal-agent-orche-summary",[99,100,101],"Orchestra-o1 introduces a specialized architecture for coordinating omnimodal AI agents, enabling them to process and act across diverse data modalities in complex, multi-step tasks.",[101],"Uwa3RMFWSw08lAOB7BK_xnvKsCSG6O8px1s1mRElqGs",{"id":6750,"title":6751,"ai":6752,"body":6757,"categories":6800,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6801,"navigation":89,"path":6809,"published_at":6810,"question":74,"scraped_at":6810,"seo":6811,"sitemap":6812,"source_id":6813,"source_name":95,"source_type":96,"source_url":6805,"stem":6814,"tags":6815,"thumbnail_url":74,"tldr":6816,"tweet":74,"unknown_tags":6817,"__hash__":6818},"summaries\u002Fsummaries\u002F0ab3fd1203e5e62c-arbor-enhancing-agent-cognition-via-tree-search-summary.md","Arbor: Enhancing Agent Cognition via Tree Search",{"provider":7,"model":8,"input_tokens":6753,"output_tokens":6754,"processing_time_ms":6755,"cost_usd":6756},4069,478,3326,0.00173425,{"type":14,"value":6758,"toc":6796},[6759,6763,6766,6770,6773,6793],[17,6760,6762],{"id":6761},"moving-beyond-single-step-inference","Moving Beyond Single-Step Inference",[22,6764,6765],{},"Autonomous agents powered by Large Language Models (LLMs) often struggle with complex, multi-step tasks because they typically rely on a single forward pass or simple chain-of-thought prompting. This approach is prone to compounding errors and lacks a mechanism for backtracking or evaluating alternative strategies. Arbor addresses this by introducing a dedicated 'cognition layer' that utilizes tree search algorithms to explore potential action sequences before committing to an execution path.",[17,6767,6769],{"id":6768},"tree-search-as-a-deliberative-layer","Tree Search as a Deliberative Layer",[22,6771,6772],{},"Arbor treats the agent's decision-making process as a search problem. By structuring the agent's potential actions as nodes in a tree, the system can evaluate multiple trajectories. This allows the agent to:",[36,6774,6775,6781,6787],{},[39,6776,6777,6780],{},[42,6778,6779],{},"Simulate Outcomes:"," Assess the potential state changes resulting from a sequence of actions.",[39,6782,6783,6786],{},[42,6784,6785],{},"Backtrack:"," Identify when a chosen path is suboptimal or leads to a dead end, allowing the agent to pivot to a more promising branch.",[39,6788,6789,6792],{},[42,6790,6791],{},"Optimize Planning:"," Use search heuristics to prioritize high-value actions, effectively 'thinking' before acting to improve success rates in complex environments.",[22,6794,6795],{},"By decoupling the generative capabilities of the LLM from the planning logic of the tree search, Arbor provides a more structured framework for long-horizon reasoning. This approach mitigates the 'myopic' nature of standard LLM inference, where the model is forced to predict the next token without considering the long-term consequences of its choices.",{"title":66,"searchDepth":67,"depth":67,"links":6797},[6798,6799],{"id":6761,"depth":67,"text":6762},{"id":6768,"depth":67,"text":6769},[73],{"content_references":6802,"triage":6806},[6803],{"type":80,"title":6804,"url":6805,"context":6660},"Arbor: Tree Search as a Cognition Layer for Autonomous Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.12563",{"relevance":85,"novelty":86,"quality":86,"actionability":6580,"composite":6807,"reasoning":6808},4.15,"Category: AI & LLMs. The article presents a novel approach to enhancing agent cognition through tree search algorithms, addressing a specific pain point of LLMs in multi-step tasks. It provides insights into a structured framework for decision-making, which can be practically applied by developers building AI-powered agents.","\u002Fsummaries\u002F0ab3fd1203e5e62c-arbor-enhancing-agent-cognition-via-tree-search-summary","2026-06-12 12:57:09",{"title":6751,"description":66},{"loc":6809},"0ab3fd1203e5e62c","summaries\u002F0ab3fd1203e5e62c-arbor-enhancing-agent-cognition-via-tree-search-summary",[99,100,101],"Arbor introduces a tree search-based cognition layer for autonomous agents, enabling more robust decision-making by systematically exploring action paths rather than relying solely on single-step inference.",[101],"Ck9FLWV6EbZD3TEqS9RoRvcWKS8KMBQyRL9oUFtVXfo"]