[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-b17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary":3,"summaries-facets-categories":99,"summary-related-b17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary":6517},{"id":4,"title":5,"ai":6,"body":13,"categories":64,"created_at":66,"date_modified":66,"description":59,"extension":67,"faq":66,"featured":68,"kicker_label":66,"meta":69,"navigation":82,"path":83,"published_at":84,"question":66,"scraped_at":84,"seo":85,"sitemap":86,"source_id":87,"source_name":88,"source_type":89,"source_url":75,"stem":90,"tags":91,"thumbnail_url":66,"tldr":96,"tweet":66,"unknown_tags":97,"__hash__":98},"summaries\u002Fsummaries\u002Fb17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary.md","Sparse Coding for Latent Communication in VLM Agents",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4007,477,2357,0.00171725,{"type":14,"value":15,"toc":58},"minimark",[16,21,25,29,32,55],[17,18,20],"h2",{"id":19},"interpreting-latent-agent-communication","Interpreting Latent Agent Communication",[22,23,24],"p",{},"As multi-agent systems powered by Vision-Language Models (VLMs) become more complex, the internal \"language\" or latent representations used for inter-agent communication remain largely opaque. This research proposes a post-hoc sparse coding approach to decompose these latent signals. By applying sparse autoencoders or similar dictionary learning techniques to the hidden states of communicating agents, the authors aim to map high-dimensional, dense latent vectors into human-interpretable, sparse features.",[17,26,28],{"id":27},"methodology-and-implications","Methodology and Implications",[22,30,31],{},"The core argument is that latent communication is not merely noise but contains structured, task-relevant information that can be reconstructed through sparse coding. By treating the latent space as a superposition of features, the method allows researchers to:",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Identify specific communication primitives:"," Isolate which latent features correspond to visual grounding, spatial reasoning, or strategic planning during agent interaction.",[36,44,45,48],{},[39,46,47],{},"Post-hoc analysis:"," Unlike training-time interpretability methods, this approach does not require modifying the underlying VLM architecture, making it applicable to existing, pre-trained models.",[36,50,51,54],{},[39,52,53],{},"Improve transparency:"," By visualizing the activation of sparse features during multi-step tasks, developers can debug agent failures where communication breakdown is suspected.",[22,56,57],{},"This work provides a technical foundation for auditing agent-to-agent protocols, moving toward more reliable and explainable multi-agent AI systems.",{"title":59,"searchDepth":60,"depth":60,"links":61},"",2,[62,63],{"id":19,"depth":60,"text":20},{"id":27,"depth":60,"text":28},[65],"AI & LLMs",null,"md",false,{"content_references":70,"triage":77},[71],{"type":72,"title":73,"author":74,"url":75,"context":76},"paper","Post-Hoc Sparse Coding of Latent Communication Between Vision-Language Model Agents","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10198","cited",{"relevance":78,"novelty":78,"quality":78,"actionability":79,"composite":80,"reasoning":81},4,3,3.8,"Category: AI & LLMs. The article discusses a novel approach to interpreting latent communication in VLM agents, addressing a specific pain point of understanding complex AI interactions. It provides insights into a method that can be applied to existing models, though it lacks detailed actionable steps for implementation.",true,"\u002Fsummaries\u002Fb17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary","2026-08-13 03:25:45",{"title":5,"description":59},{"loc":83},"b17ba7c99fa7d79d","arXiv cs.AI","article","summaries\u002Fb17ba7c99fa7d79d-sparse-coding-for-latent-communication-in-vlm-agen-summary",[92,93,94,95],"machine-learning","research","agents","ai-llms","This paper introduces a post-hoc sparse coding method to interpret and analyze the latent communication signals exchanged between vision-language model (VLM) agents, providing a framework for understanding multi-agent internal states.",[95],"vV6Lcp_Dc_Q_3Icp-GUZg1kj8oFzaIHDiCOYcmo0gRA",[100,102,105,107,110,112,115,118,120,122,124,127,129,131,133,135,138,140,142,144,146,149,152,154,156,158,160,162,164,166,168,170,172,174,176,178,180,182,184,186,188,190,192,195,197,199,201,203,205,207,209,211,213,215,217,219,221,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,261,263,265,267,269,271,273,275,277,279,281,283,285,287,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,353,355,357,359,361,363,365,367,369,371,373,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,409,411,413,415,417,419,421,423,425,427,429,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,487,489,491,494,496,498,500,502,504,506,508,510,512,514,516,518,520,523,525,527,529,531,533,535,537,539,541,543,545,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,823,825,827,829,831,834,836,838,840,842,844,846,848,850,852,854,856,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515],{"categories":101},[65],{"categories":103},[104],"Developer Productivity",{"categories":106},[65],{"categories":108},[109],"Business & SaaS",{"categories":111},[65],{"categories":113},[114],"AI Automation",{"categories":116},[117],"Product Strategy",{"categories":119},[65],{"categories":121},[104],{"categories":123},[114],{"categories":125},[126],"Software Engineering",{"categories":128},[65],{"categories":130},[109],{"categories":132},[],{"categories":134},[65],{"categories":136},[137],"Inference & Serving",{"categories":139},[65],{"categories":141},[65],{"categories":143},[114],{"categories":145},[],{"categories":147},[148],"AI News & Trends",{"categories":150},[151],"Data Science & Visualization",{"categories":153},[114],{"categories":155},[65],{"categories":157},[65],{"categories":159},[109],{"categories":161},[104],{"categories":163},[65],{"categories":165},[114],{"categories":167},[148],{"categories":169},[114],{"categories":171},[114],{"categories":173},[65],{"categories":175},[114],{"categories":177},[65],{"categories":179},[65],{"categories":181},[65],{"categories":183},[148],{"categories":185},[65],{"categories":187},[65],{"categories":189},[65],{"categories":191},[],{"categories":193},[194],"Design & Frontend",{"categories":196},[151],{"categories":198},[148],{"categories":200},[65],{"categories":202},[65],{"categories":204},[65],{"categories":206},[],{"categories":208},[65],{"categories":210},[65],{"categories":212},[114],{"categories":214},[126],{"categories":216},[65],{"categories":218},[114],{"categories":220},[65],{"categories":222},[223],"Marketing & Growth",{"categories":225},[194],{"categories":227},[65],{"categories":229},[114],{"categories":231},[65],{"categories":233},[126],{"categories":235},[],{"categories":237},[],{"categories":239},[194],{"categories":241},[65],{"categories":243},[114],{"categories":245},[104],{"categories":247},[126],{"categories":249},[114],{"categories":251},[194],{"categories":253},[117],{"categories":255},[65],{"categories":257},[126],{"categories":259},[260],"DevOps & Cloud",{"categories":262},[114],{"categories":264},[117],{"categories":266},[148],{"categories":268},[65],{"categories":270},[],{"categories":272},[65],{"categories":274},[65],{"categories":276},[],{"categories":278},[114],{"categories":280},[126],{"categories":282},[],{"categories":284},[126],{"categories":286},[65],{"categories":288},[289],"Governance & Standards",{"categories":291},[109],{"categories":293},[],{"categories":295},[],{"categories":297},[65],{"categories":299},[65],{"categories":301},[114],{"categories":303},[65],{"categories":305},[65],{"categories":307},[114],{"categories":309},[65],{"categories":311},[65],{"categories":313},[65],{"categories":315},[],{"categories":317},[126],{"categories":319},[],{"categories":321},[],{"categories":323},[65],{"categories":325},[126],{"categories":327},[],{"categories":329},[126],{"categories":331},[65],{"categories":333},[65],{"categories":335},[223],{"categories":337},[65],{"categories":339},[65],{"categories":341},[194],{"categories":343},[194],{"categories":345},[65],{"categories":347},[126],{"categories":349},[114],{"categories":351},[352],"GovTech & Public-Sector Adoption",{"categories":354},[126],{"categories":356},[65],{"categories":358},[65],{"categories":360},[65],{"categories":362},[114],{"categories":364},[114],{"categories":366},[151],{"categories":368},[65],{"categories":370},[148],{"categories":372},[114],{"categories":374},[375],"Legal AI Tools",{"categories":377},[65],{"categories":379},[114],{"categories":381},[65],{"categories":383},[223],{"categories":385},[114],{"categories":387},[117],{"categories":389},[65],{"categories":391},[126],{"categories":393},[352],{"categories":395},[],{"categories":397},[114],{"categories":399},[],{"categories":401},[109],{"categories":403},[114],{"categories":405},[114],{"categories":407},[408],"RAG & Retrieval",{"categories":410},[109],{"categories":412},[65],{"categories":414},[126],{"categories":416},[126],{"categories":418},[260],{"categories":420},[194],{"categories":422},[114],{"categories":424},[65],{"categories":426},[65],{"categories":428},[],{"categories":430},[431],"Agents & Orchestration",{"categories":433},[126],{"categories":435},[65],{"categories":437},[],{"categories":439},[114],{"categories":441},[109],{"categories":443},[],{"categories":445},[65],{"categories":447},[],{"categories":449},[65],{"categories":451},[104],{"categories":453},[126],{"categories":455},[109],{"categories":457},[65],{"categories":459},[114],{"categories":461},[65],{"categories":463},[148],{"categories":465},[65],{"categories":467},[],{"categories":469},[65],{"categories":471},[],{"categories":473},[126],{"categories":475},[65],{"categories":477},[151],{"categories":479},[],{"categories":481},[65],{"categories":483},[194],{"categories":485},[486],"Models & Frontier Labs",{"categories":488},[],{"categories":490},[194],{"categories":492},[493],"Regulation & Governance of AI",{"categories":495},[114],{"categories":497},[],{"categories":499},[65],{"categories":501},[65],{"categories":503},[114],{"categories":505},[148],{"categories":507},[109],{"categories":509},[65],{"categories":511},[],{"categories":513},[126],{"categories":515},[114],{"categories":517},[65],{"categories":519},[117],{"categories":521},[522],"AI Policy & Regulation",{"categories":524},[],{"categories":526},[65],{"categories":528},[114],{"categories":530},[117],{"categories":532},[114],{"categories":534},[65],{"categories":536},[65],{"categories":538},[65],{"categories":540},[114],{"categories":542},[],{"categories":544},[151],{"categories":546},[547],"Evals & Reliability",{"categories":549},[65],{"categories":551},[65],{"categories":553},[],{"categories":555},[104],{"categories":557},[352],{"categories":559},[522],{"categories":561},[65],{"categories":563},[109],{"categories":565},[65],{"categories":567},[114],{"categories":569},[65],{"categories":571},[114],{"categories":573},[431],{"categories":575},[65],{"categories":577},[126],{"categories":579},[65],{"categories":581},[],{"categories":583},[],{"categories":585},[65],{"categories":587},[352],{"categories":589},[65],{"categories":591},[65],{"categories":593},[65],{"categories":595},[],{"categories":597},[194],{"categories":599},[],{"categories":601},[65],{"categories":603},[],{"categories":605},[114],{"categories":607},[65],{"categories":609},[194],{"categories":611},[],{"categories":613},[65],{"categories":615},[65],{"categories":617},[151],{"categories":619},[114],{"categories":621},[65],{"categories":623},[109],{"categories":625},[114],{"categories":627},[65],{"categories":629},[65],{"categories":631},[126],{"categories":633},[194],{"categories":635},[65],{"categories":637},[114],{"categories":639},[],{"categories":641},[126],{"categories":643},[114],{"categories":645},[151],{"categories":647},[],{"categories":649},[65],{"categories":651},[148],{"categories":653},[65],{"categories":655},[],{"categories":657},[65],{"categories":659},[65],{"categories":661},[65],{"categories":663},[109,223],{"categories":665},[],{"categories":667},[65],{"categories":669},[65],{"categories":671},[114],{"categories":673},[65],{"categories":675},[],{"categories":677},[],{"categories":679},[65],{"categories":681},[194],{"categories":683},[65],{"categories":685},[],{"categories":687},[65],{"categories":689},[260],{"categories":691},[],{"categories":693},[114],{"categories":695},[148],{"categories":697},[65],{"categories":699},[65],{"categories":701},[194],{"categories":703},[],{"categories":705},[148],{"categories":707},[65],{"categories":709},[137],{"categories":711},[65],{"categories":713},[65],{"categories":715},[114],{"categories":717},[148],{"categories":719},[486],{"categories":721},[65],{"categories":723},[223],{"categories":725},[],{"categories":727},[114],{"categories":729},[109],{"categories":731},[126],{"categories":733},[65],{"categories":735},[114],{"categories":737},[],{"categories":739},[65,260],{"categories":741},[65],{"categories":743},[65],{"categories":745},[65],{"categories":747},[114],{"categories":749},[65,126],{"categories":751},[151],{"categories":753},[65],{"categories":755},[65],{"categories":757},[126],{"categories":759},[65],{"categories":761},[114],{"categories":763},[522],{"categories":765},[223],{"categories":767},[65],{"categories":769},[114],{"categories":771},[65],{"categories":773},[65],{"categories":775},[114],{"categories":777},[],{"categories":779},[114],{"categories":781},[65],{"categories":783},[65],{"categories":785},[114],{"categories":787},[65],{"categories":789},[65,109],{"categories":791},[65],{"categories":793},[109],{"categories":795},[],{"categories":797},[194],{"categories":799},[194],{"categories":801},[65],{"categories":803},[],{"categories":805},[],{"categories":807},[65],{"categories":809},[148],{"categories":811},[],{"categories":813},[104],{"categories":815},[65],{"categories":817},[126],{"categories":819},[65],{"categories":821},[822],"Generative UI & Design-to-Code",{"categories":824},[65],{"categories":826},[65],{"categories":828},[194],{"categories":830},[65],{"categories":832},[833],"Algorithmic Accountability",{"categories":835},[114],{"categories":837},[126],{"categories":839},[148],{"categories":841},[194],{"categories":843},[65],{"categories":845},[],{"categories":847},[117],{"categories":849},[65],{"categories":851},[65],{"categories":853},[65],{"categories":855},[114],{"categories":857},[858],"MLOps & Infrastructure",{"categories":860},[65],{"categories":862},[65],{"categories":864},[65],{"categories":866},[65],{"categories":868},[65],{"categories":870},[148],{"categories":872},[117],{"categories":874},[104],{"categories":876},[65],{"categories":878},[114],{"categories":880},[260],{"categories":882},[65],{"categories":884},[109],{"categories":886},[65],{"categories":888},[194],{"categories":890},[65],{"categories":892},[65],{"categories":894},[114],{"categories":896},[],{"categories":898},[],{"categories":900},[65],{"categories":902},[137],{"categories":904},[194],{"categories":906},[148],{"categories":908},[151],{"categories":910},[],{"categories":912},[65],{"categories":914},[65],{"categories":916},[109],{"categories":918},[114],{"categories":920},[65],{"categories":922},[65],{"categories":924},[65],{"categories":926},[65],{"categories":928},[148],{"categories":930},[137],{"categories":932},[65],{"categories":934},[194],{"categories":936},[65],{"categories":938},[],{"categories":940},[114],{"categories":942},[126],{"categories":944},[],{"categories":946},[65],{"categories":948},[65],{"categories":950},[114],{"categories":952},[126],{"categories":954},[65],{"categories":956},[151],{"categories":958},[],{"categories":960},[65],{"categories":962},[],{"categories":964},[65],{"categories":966},[],{"categories":968},[117],{"categories":970},[109],{"categories":972},[114],{"categories":974},[114],{"categories":976},[],{"categories":978},[104],{"categories":980},[65],{"categories":982},[65],{"categories":984},[109],{"categories":986},[148],{"categories":988},[104],{"categories":990},[],{"categories":992},[65],{"categories":994},[],{"categories":996},[],{"categories":998},[148],{"categories":1000},[148],{"categories":1002},[],{"categories":1004},[431],{"categories":1006},[65],{"categories":1008},[194],{"categories":1010},[126],{"categories":1012},[],{"categories":1014},[375],{"categories":1016},[114],{"categories":1018},[109],{"categories":1020},[],{"categories":1022},[],{"categories":1024},[104],{"categories":1026},[151],{"categories":1028},[],{"categories":1030},[223],{"categories":1032},[114],{"categories":1034},[109],{"categories":1036},[114],{"categories":1038},[109],{"categories":1040},[65],{"categories":1042},[126],{"categories":1044},[],{"categories":1046},[137],{"categories":1048},[117],{"categories":1050},[65],{"categories":1052},[194],{"categories":1054},[126],{"categories":1056},[109],{"categories":1058},[65],{"categories":1060},[114],{"categories":1062},[109],{"categories":1064},[65],{"categories":1066},[65],{"categories":1068},[65],{"categories":1070},[65],{"categories":1072},[65],{"categories":1074},[],{"categories":1076},[],{"categories":1078},[126],{"categories":1080},[151],{"categories":1082},[117],{"categories":1084},[65],{"categories":1086},[114],{"categories":1088},[126],{"categories":1090},[65],{"categories":1092},[],{"categories":1094},[148],{"categories":1096},[117],{"categories":1098},[126],{"categories":1100},[65],{"categories":1102},[547],{"categories":1104},[260],{"categories":1106},[],{"categories":1108},[114],{"categories":1110},[65],{"categories":1112},[],{"categories":1114},[104],{"categories":1116},[],{"categories":1118},[65],{"categories":1120},[65],{"categories":1122},[65],{"categories":1124},[194],{"categories":1126},[223],{"categories":1128},[65],{"categories":1130},[126],{"categories":1132},[65],{"categories":1134},[114],{"categories":1136},[],{"categories":1138},[126],{"categories":1140},[65],{"categories":1142},[104],{"categories":1144},[],{"categories":1146},[109],{"categories":1148},[65],{"categories":1150},[148],{"categories":1152},[65,260],{"categories":1154},[65],{"categories":1156},[1157],"Design Systems for AI",{"categories":1159},[65],{"categories":1161},[65],{"categories":1163},[148],{"categories":1165},[65],{"categories":1167},[65],{"categories":1169},[65],{"categories":1171},[109],{"categories":1173},[65],{"categories":1175},[65],{"categories":1177},[65],{"categories":1179},[],{"categories":1181},[65],{"categories":1183},[65],{"categories":1185},[109],{"categories":1187},[65],{"categories":1189},[],{"categories":1191},[114],{"categories":1193},[126],{"categories":1195},[148],{"categories":1197},[126],{"categories":1199},[65],{"categories":1201},[194],{"categories":1203},[148],{"categories":1205},[151],{"categories":1207},[65],{"categories":1209},[65],{"categories":1211},[114],{"categories":1213},[104],{"categories":1215},[522],{"categories":1217},[65],{"categories":1219},[114],{"categories":1221},[65],{"categories":1223},[126],{"categories":1225},[126],{"categories":1227},[],{"categories":1229},[],{"categories":1231},[114],{"categories":1233},[117],{"categories":1235},[],{"categories":1237},[109],{"categories":1239},[65],{"categories":1241},[],{"categories":1243},[194],{"categories":1245},[114],{"categories":1247},[126],{"categories":1249},[194],{"categories":1251},[65],{"categories":1253},[65],{"categories":1255},[194],{"categories":1257},[],{"categories":1259},[],{"categories":1261},[148],{"categories":1263},[114],{"categories":1265},[114],{"categories":1267},[65],{"categories":1269},[65],{"categories":1271},[65],{"categories":1273},[65],{"categories":1275},[109],{"categories":1277},[65],{"categories":1279},[65],{"categories":1281},[],{"categories":1283},[126],{"categories":1285},[126],{"categories":1287},[65],{"categories":1289},[126],{"categories":1291},[109],{"categories":1293},[],{"categories":1295},[65],{"categories":1297},[65],{"categories":1299},[65],{"categories":1301},[65],{"categories":1303},[65],{"categories":1305},[114],{"categories":1307},[104],{"categories":1309},[109],{"categories":1311},[65],{"categories":1313},[114],{"categories":1315},[148],{"categories":1317},[114],{"categories":1319},[137],{"categories":1321},[223],{"categories":1323},[65],{"categories":1325},[114],{"categories":1327},[65],{"categories":1329},[65],{"categories":1331},[],{"categories":1333},[194],{"categories":1335},[],{"categories":1337},[65],{"categories":1339},[65],{"categories":1341},[],{"categories":1343},[126],{"categories":1345},[109],{"categories":1347},[1348],"Visual & Generative Media",{"categories":1350},[114],{"categories":1352},[],{"categories":1354},[65],{"categories":1356},[65],{"categories":1358},[126],{"categories":1360},[260],{"categories":1362},[151],{"categories":1364},[522],{"categories":1366},[126],{"categories":1368},[223],{"categories":1370},[65],{"categories":1372},[194],{"categories":1374},[65],{"categories":1376},[65],{"categories":1378},[126],{"categories":1380},[114],{"categories":1382},[65],{"categories":1384},[],{"categories":1386},[],{"categories":1388},[114],{"categories":1390},[126],{"categories":1392},[104],{"categories":1394},[114],{"categories":1396},[486],{"categories":1398},[65],{"categories":1400},[117],{"categories":1402},[65],{"categories":1404},[109],{"categories":1406},[],{"categories":1408},[65],{"categories":1410},[117],{"categories":1412},[65],{"categories":1414},[65],{"categories":1416},[65],{"categories":1418},[117],{"categories":1420},[65],{"categories":1422},[65],{"categories":1424},[223],{"categories":1426},[65],{"categories":1428},[431],{"categories":1430},[65],{"categories":1432},[114],{"categories":1434},[65],{"categories":1436},[65],{"categories":1438},[65],{"categories":1440},[65],{"categories":1442},[194],{"categories":1444},[114],{"categories":1446},[],{"categories":1448},[114],{"categories":1450},[],{"categories":1452},[260],{"categories":1454},[126],{"categories":1456},[],{"categories":1458},[486],{"categories":1460},[65],{"categories":1462},[114],{"categories":1464},[65],{"categories":1466},[194,65],{"categories":1468},[104],{"categories":1470},[65],{"categories":1472},[194],{"categories":1474},[],{"categories":1476},[65],{"categories":1478},[104],{"categories":1480},[1481],"Medical Imaging & Radiology",{"categories":1483},[65],{"categories":1485},[194],{"categories":1487},[114],{"categories":1489},[126],{"categories":1491},[],{"categories":1493},[65],{"categories":1495},[65],{"categories":1497},[65],{"categories":1499},[],{"categories":1501},[],{"categories":1503},[65],{"categories":1505},[431],{"categories":1507},[65],{"categories":1509},[104],{"categories":1511},[65],{"categories":1513},[65],{"categories":1515},[],{"categories":1517},[114],{"categories":1519},[65],{"categories":1521},[117],{"categories":1523},[126],{"categories":1525},[65],{"categories":1527},[431],{"categories":1529},[65],{"categories":1531},[114],{"categories":1533},[65],{"categories":1535},[65],{"categories":1537},[65],{"categories":1539},[194],{"categories":1541},[114],{"categories":1543},[260],{"categories":1545},[194],{"categories":1547},[109],{"categories":1549},[114],{"categories":1551},[148],{"categories":1553},[65],{"categories":1555},[65],{"categories":1557},[117],{"categories":1559},[65],{"categories":1561},[65],{"categories":1563},[65],{"categories":1565},[114],{"categories":1567},[126],{"categories":1569},[126],{"categories":1571},[65],{"categories":1573},[117],{"categories":1575},[],{"categories":1577},[148],{"categories":1579},[],{"categories":1581},[117],{"categories":1583},[114],{"categories":1585},[65],{"categories":1587},[114],{"categories":1589},[1157],{"categories":1591},[1157],{"categories":1593},[194],{"categories":1595},[65],{"categories":1597},[65],{"categories":1599},[114],{"categories":1601},[126],{"categories":1603},[194],{"categories":1605},[114],{"categories":1607},[148],{"categories":1609},[],{"categories":1611},[65],{"categories":1613},[],{"categories":1615},[65],{"categories":1617},[65],{"categories":1619},[65],{"categories":1621},[65],{"categories":1623},[114],{"categories":1625},[1626],"Contract Review & E-Discovery",{"categories":1628},[65],{"categories":1630},[194],{"categories":1632},[65],{"categories":1634},[104],{"categories":1636},[65],{"categories":1638},[148],{"categories":1640},[65],{"categories":1642},[65],{"categories":1644},[223],{"categories":1646},[126],{"categories":1648},[65],{"categories":1650},[65],{"categories":1652},[114],{"categories":1654},[114],{"categories":1656},[833],{"categories":1658},[65],{"categories":1660},[65],{"categories":1662},[114],{"categories":1664},[114],{"categories":1666},[65],{"categories":1668},[65],{"categories":1670},[114],{"categories":1672},[65],{"categories":1674},[65],{"categories":1676},[431],{"categories":1678},[408],{"categories":1680},[65],{"categories":1682},[114],{"categories":1684},[65],{"categories":1686},[1687],"Law-Firm Practice & Adoption",{"categories":1689},[65],{"categories":1691},[114],{"categories":1693},[194],{"categories":1695},[65],{"categories":1697},[65],{"categories":1699},[65],{"categories":1701},[],{"categories":1703},[],{"categories":1705},[126],{"categories":1707},[65],{"categories":1709},[],{"categories":1711},[114],{"categories":1713},[104],{"categories":1715},[260],{"categories":1717},[65],{"categories":1719},[],{"categories":1721},[104],{"categories":1723},[109],{"categories":1725},[65],{"categories":1727},[223],{"categories":1729},[],{"categories":1731},[109],{"categories":1733},[109],{"categories":1735},[],{"categories":1737},[65],{"categories":1739},[117],{"categories":1741},[65],{"categories":1743},[126],{"categories":1745},[],{"categories":1747},[],{"categories":1749},[],{"categories":1751},[],{"categories":1753},[65],{"categories":1755},[114],{"categories":1757},[260],{"categories":1759},[65],{"categories":1761},[104],{"categories":1763},[126],{"categories":1765},[65],{"categories":1767},[65],{"categories":1769},[126],{"categories":1771},[117],{"categories":1773},[65],{"categories":1775},[65],{"categories":1777},[65],{"categories":1779},[858],{"categories":1781},[65],{"categories":1783},[65],{"categories":1785},[223],{"categories":1787},[126],{"categories":1789},[109],{"categories":1791},[65],{"categories":1793},[65],{"categories":1795},[194],{"categories":1797},[65],{"categories":1799},[65],{"categories":1801},[65],{"categories":1803},[65],{"categories":1805},[114],{"categories":1807},[65,104],{"categories":1809},[431],{"categories":1811},[65],{"categories":1813},[65],{"categories":1815},[126],{"categories":1817},[126],{"categories":1819},[194],{"categories":1821},[114],{"categories":1823},[126],{"categories":1825},[65],{"categories":1827},[65],{"categories":1829},[],{"categories":1831},[],{"categories":1833},[65],{"categories":1835},[114],{"categories":1837},[],{"categories":1839},[65],{"categories":1841},[126],{"categories":1843},[151],{"categories":1845},[148],{"categories":1847},[194],{"categories":1849},[65],{"categories":1851},[65],{"categories":1853},[126],{"categories":1855},[],{"categories":1857},[114],{"categories":1859},[65],{"categories":1861},[65],{"categories":1863},[65],{"categories":1865},[65],{"categories":1867},[],{"categories":1869},[114],{"categories":1871},[65],{"categories":1873},[65],{"categories":1875},[],{"categories":1877},[114],{"categories":1879},[65],{"categories":1881},[65],{"categories":1883},[109],{"categories":1885},[65],{"categories":1887},[65],{"categories":1889},[],{"categories":1891},[104],{"categories":1893},[65],{"categories":1895},[65],{"categories":1897},[194],{"categories":1899},[126],{"categories":1901},[65],{"categories":1903},[104],{"categories":1905},[65],{"categories":1907},[126],{"categories":1909},[223],{"categories":1911},[114],{"categories":1913},[114],{"categories":1915},[65],{"categories":1917},[65],{"categories":1919},[65,194],{"categories":1921},[65],{"categories":1923},[114],{"categories":1925},[148],{"categories":1927},[65],{"categories":1929},[148],{"categories":1931},[114],{"categories":1933},[194],{"categories":1935},[65],{"categories":1937},[],{"categories":1939},[126],{"categories":1941},[260],{"categories":1943},[194],{"categories":1945},[126],{"categories":1947},[65],{"categories":1949},[117],{"categories":1951},[65],{"categories":1953},[65],{"categories":1955},[114],{"categories":1957},[],{"categories":1959},[],{"categories":1961},[65],{"categories":1963},[],{"categories":1965},[],{"categories":1967},[117],{"categories":1969},[126],{"categories":1971},[65],{"categories":1973},[114],{"categories":1975},[114],{"categories":1977},[109],{"categories":1979},[114],{"categories":1981},[260],{"categories":1983},[65],{"categories":1985},[65],{"categories":1987},[65],{"categories":1989},[137],{"categories":1991},[65],{"categories":1993},[65],{"categories":1995},[126],{"categories":1997},[114],{"categories":1999},[65],{"categories":2001},[65],{"categories":2003},[375],{"categories":2005},[833],{"categories":2007},[],{"categories":2009},[194],{"categories":2011},[1687],{"categories":2013},[126],{"categories":2015},[],{"categories":2017},[],{"categories":2019},[114],{"categories":2021},[],{"categories":2023},[],{"categories":2025},[65],{"categories":2027},[223],{"categories":2029},[65],{"categories":2031},[223],{"categories":2033},[114],{"categories":2035},[65],{"categories":2037},[126],{"categories":2039},[117],{"categories":2041},[],{"categories":2043},[65],{"categories":2045},[65],{"categories":2047},[126],{"categories":2049},[1626],{"categories":2051},[194],{"categories":2053},[194],{"categories":2055},[65],{"categories":2057},[114],{"categories":2059},[104],{"categories":2061},[65],{"categories":2063},[65],{"categories":2065},[65],{"categories":2067},[194],{"categories":2069},[194],{"categories":2071},[114],{"categories":2073},[114],{"categories":2075},[114],{"categories":2077},[65],{"categories":2079},[65],{"categories":2081},[],{"categories":2083},[65],{"categories":2085},[],{"categories":2087},[2088],"Interaction & Product Design",{"categories":2090},[65],{"categories":2092},[114],{"categories":2094},[126],{"categories":2096},[289],{"categories":2098},[148],{"categories":2100},[126],{"categories":2102},[65],{"categories":2104},[65],{"categories":2106},[126],{"categories":2108},[104],{"categories":2110},[114],{"categories":2112},[65],{"categories":2114},[],{"categories":2116},[114],{"categories":2118},[114],{"categories":2120},[],{"categories":2122},[126],{"categories":2124},[65],{"categories":2126},[104],{"categories":2128},[2088],{"categories":2130},[65],{"categories":2132},[104],{"categories":2134},[104],{"categories":2136},[],{"categories":2138},[114],{"categories":2140},[126],{"categories":2142},[],{"categories":2144},[114],{"categories":2146},[148],{"categories":2148},[65],{"categories":2150},[114],{"categories":2152},[65],{"categories":2154},[114],{"categories":2156},[65],{"categories":2158},[65],{"categories":2160},[148],{"categories":2162},[151],{"categories":2164},[65],{"categories":2166},[117],{"categories":2168},[126],{"categories":2170},[2171],"Coding Agents & Dev Productivity",{"categories":2173},[148],{"categories":2175},[194],{"categories":2177},[65],{"categories":2179},[65],{"categories":2181},[],{"categories":2183},[65],{"categories":2185},[833],{"categories":2187},[],{"categories":2189},[65],{"categories":2191},[260],{"categories":2193},[65],{"categories":2195},[148],{"categories":2197},[],{"categories":2199},[],{"categories":2201},[65],{"categories":2203},[],{"categories":2205},[114],{"categories":2207},[65],{"categories":2209},[],{"categories":2211},[126],{"categories":2213},[126],{"categories":2215},[65],{"categories":2217},[151],{"categories":2219},[],{"categories":2221},[65],{"categories":2223},[65],{"categories":2225},[65],{"categories":2227},[151],{"categories":2229},[126],{"categories":2231},[114],{"categories":2233},[],{"categories":2235},[],{"categories":2237},[65],{"categories":2239},[65],{"categories":2241},[114],{"categories":2243},[114],{"categories":2245},[352],{"categories":2247},[126],{"categories":2249},[126],{"categories":2251},[114],{"categories":2253},[148],{"categories":2255},[148],{"categories":2257},[114],{"categories":2259},[114],{"categories":2261},[65],{"categories":2263},[104],{"categories":2265},[2088],{"categories":2267},[65,260],{"categories":2269},[151],{"categories":2271},[],{"categories":2273},[194],{"categories":2275},[126],{"categories":2277},[104],{"categories":2279},[65],{"categories":2281},[114],{"categories":2283},[2284],"The Designer's Role & Craft",{"categories":2286},[194],{"categories":2288},[],{"categories":2290},[114],{"categories":2292},[65],{"categories":2294},[114],{"categories":2296},[114],{"categories":2298},[65],{"categories":2300},[223],{"categories":2302},[65],{"categories":2304},[126],{"categories":2306},[65],{"categories":2308},[194],{"categories":2310},[65],{"categories":2312},[],{"categories":2314},[114],{"categories":2316},[194],{"categories":2318},[65],{"categories":2320},[65],{"categories":2322},[65],{"categories":2324},[2325],"AI UX Patterns",{"categories":2327},[114],{"categories":2329},[114],{"categories":2331},[114],{"categories":2333},[114],{"categories":2335},[223],{"categories":2337},[151],{"categories":2339},[65],{"categories":2341},[114],{"categories":2343},[65],{"categories":2345},[1157],{"categories":2347},[],{"categories":2349},[223],{"categories":2351},[114],{"categories":2353},[148],{"categories":2355},[126],{"categories":2357},[65],{"categories":2359},[114],{"categories":2361},[],{"categories":2363},[],{"categories":2365},[65],{"categories":2367},[114],{"categories":2369},[65],{"categories":2371},[114],{"categories":2373},[352],{"categories":2375},[194],{"categories":2377},[65],{"categories":2379},[148],{"categories":2381},[126],{"categories":2383},[65],{"categories":2385},[114],{"categories":2387},[114],{"categories":2389},[],{"categories":2391},[65],{"categories":2393},[],{"categories":2395},[],{"categories":2397},[65],{"categories":2399},[65],{"categories":2401},[65],{"categories":2403},[114],{"categories":2405},[126],{"categories":2407},[],{"categories":2409},[],{"categories":2411},[151],{"categories":2413},[137],{"categories":2415},[65],{"categories":2417},[65],{"categories":2419},[151],{"categories":2421},[65],{"categories":2423},[148],{"categories":2425},[65],{"categories":2427},[65],{"categories":2429},[65],{"categories":2431},[114],{"categories":2433},[65],{"categories":2435},[114],{"categories":2437},[65],{"categories":2439},[65],{"categories":2441},[114],{"categories":2443},[],{"categories":2445},[],{"categories":2447},[65],{"categories":2449},[260],{"categories":2451},[65],{"categories":2453},[],{"categories":2455},[],{"categories":2457},[194],{"categories":2459},[858],{"categories":2461},[114],{"categories":2463},[104],{"categories":2465},[2284],{"categories":2467},[],{"categories":2469},[],{"categories":2471},[65],{"categories":2473},[],{"categories":2475},[],{"categories":2477},[126],{"categories":2479},[148],{"categories":2481},[223],{"categories":2483},[109],{"categories":2485},[65],{"categories":2487},[65],{"categories":2489},[109],{"categories":2491},[],{"categories":2493},[194],{"categories":2495},[117],{"categories":2497},[65],{"categories":2499},[65],{"categories":2501},[114],{"categories":2503},[109],{"categories":2505},[65],{"categories":2507},[65],{"categories":2509},[104],{"categories":2511},[65],{"categories":2513},[],{"categories":2515},[104],{"categories":2517},[65],{"categories":2519},[223],{"categories":2521},[114],{"categories":2523},[148],{"categories":2525},[65],{"categories":2527},[126],{"categories":2529},[65],{"categories":2531},[65],{"categories":2533},[109],{"categories":2535},[65],{"categories":2537},[65],{"categories":2539},[65],{"categories":2541},[114],{"categories":2543},[],{"categories":2545},[65],{"categories":2547},[126],{"categories":2549},[104],{"categories":2551},[65],{"categories":2553},[65],{"categories":2555},[65],{"categories":2557},[],{"categories":2559},[65],{"categories":2561},[431],{"categories":2563},[114],{"categories":2565},[109],{"categories":2567},[148],{"categories":2569},[65],{"categories":2571},[65],{"categories":2573},[],{"categories":2575},[109],{"categories":2577},[109],{"categories":2579},[65],{"categories":2581},[65],{"categories":2583},[117],{"categories":2585},[65],{"categories":2587},[65],{"categories":2589},[65],{"categories":2591},[65],{"categories":2593},[126],{"categories":2595},[126],{"categories":2597},[65],{"categories":2599},[],{"categories":2601},[126],{"categories":2603},[65],{"categories":2605},[126],{"categories":2607},[114],{"categories":2609},[522],{"categories":2611},[],{"categories":2613},[],{"categories":2615},[65],{"categories":2617},[148],{"categories":2619},[],{"categories":2621},[260],{"categories":2623},[65],{"categories":2625},[65],{"categories":2627},[194],{"categories":2629},[822],{"categories":2631},[],{"categories":2633},[65],{"categories":2635},[65],{"categories":2637},[65],{"categories":2639},[126],{"categories":2641},[65],{"categories":2643},[65],{"categories":2645},[65,260],{"categories":2647},[65],{"categories":2649},[65],{"categories":2651},[194],{"categories":2653},[114],{"categories":2655},[],{"categories":2657},[114],{"categories":2659},[114],{"categories":2661},[65],{"categories":2663},[65],{"categories":2665},[65],{"categories":2667},[65],{"categories":2669},[151],{"categories":2671},[65],{"categories":2673},[2325],{"categories":2675},[104],{"categories":2677},[151],{"categories":2679},[104],{"categories":2681},[126],{"categories":2683},[194],{"categories":2685},[114],{"categories":2687},[65],{"categories":2689},[],{"categories":2691},[109],{"categories":2693},[65],{"categories":2695},[65],{"categories":2697},[148],{"categories":2699},[65],{"categories":2701},[65],{"categories":2703},[114],{"categories":2705},[65],{"categories":2707},[65],{"categories":2709},[65],{"categories":2711},[109],{"categories":2713},[],{"categories":2715},[260],{"categories":2717},[65],{"categories":2719},[352],{"categories":2721},[194],{"categories":2723},[194],{"categories":2725},[126],{"categories":2727},[114],{"categories":2729},[65],{"categories":2731},[109],{"categories":2733},[148],{"categories":2735},[65],{"categories":2737},[65],{"categories":2739},[194],{"categories":2741},[114],{"categories":2743},[114],{"categories":2745},[65],{"categories":2747},[65],{"categories":2749},[486],{"categories":2751},[],{"categories":2753},[65],{"categories":2755},[65],{"categories":2757},[65],{"categories":2759},[],{"categories":2761},[],{"categories":2763},[65],{"categories":2765},[65],{"categories":2767},[114],{"categories":2769},[65],{"categories":2771},[65],{"categories":2773},[65],{"categories":2775},[126],{"categories":2777},[65],{"categories":2779},[65],{"categories":2781},[114],{"categories":2783},[65],{"categories":2785},[65],{"categories":2787},[65],{"categories":2789},[65],{"categories":2791},[65],{"categories":2793},[],{"categories":2795},[126],{"categories":2797},[151],{"categories":2799},[65],{"categories":2801},[114],{"categories":2803},[65],{"categories":2805},[],{"categories":2807},[],{"categories":2809},[65],{"categories":2811},[65],{"categories":2813},[65],{"categories":2815},[148],{"categories":2817},[151],{"categories":2819},[],{"categories":2821},[65],{"categories":2823},[194],{"categories":2825},[65],{"categories":2827},[260],{"categories":2829},[1687],{"categories":2831},[148],{"categories":2833},[126],{"categories":2835},[126],{"categories":2837},[126],{"categories":2839},[65],{"categories":2841},[65],{"categories":2843},[148],{"categories":2845},[148],{"categories":2847},[260],{"categories":2849},[114],{"categories":2851},[],{"categories":2853},[148],{"categories":2855},[65],{"categories":2857},[104],{"categories":2859},[126],{"categories":2861},[65],{"categories":2863},[148],{"categories":2865},[],{"categories":2867},[65],{"categories":2869},[126],{"categories":2871},[126],{"categories":2873},[151],{"categories":2875},[65],{"categories":2877},[148],{"categories":2879},[65],{"categories":2881},[126],{"categories":2883},[114],{"categories":2885},[148],{"categories":2887},[114],{"categories":2889},[260],{"categories":2891},[114],{"categories":2893},[65],{"categories":2895},[65],{"categories":2897},[65],{"categories":2899},[65],{"categories":2901},[126],{"categories":2903},[65],{"categories":2905},[],{"categories":2907},[114],{"categories":2909},[109],{"categories":2911},[126],{"categories":2913},[],{"categories":2915},[],{"categories":2917},[65],{"categories":2919},[114],{"categories":2921},[65],{"categories":2923},[65],{"categories":2925},[2926],"Frameworks & Tooling",{"categories":2928},[65],{"categories":2930},[65],{"categories":2932},[126],{"categories":2934},[65],{"categories":2936},[65],{"categories":2938},[],{"categories":2940},[151],{"categories":2942},[151],{"categories":2944},[104],{"categories":2946},[65],{"categories":2948},[114],{"categories":2950},[65],{"categories":2952},[194],{"categories":2954},[],{"categories":2956},[1687],{"categories":2958},[65],{"categories":2960},[126],{"categories":2962},[65],{"categories":2964},[260],{"categories":2966},[260],{"categories":2968},[],{"categories":2970},[114],{"categories":2972},[65],{"categories":2974},[148],{"categories":2976},[148],{"categories":2978},[65],{"categories":2980},[114],{"categories":2982},[],{"categories":2984},[194],{"categories":2986},[65],{"categories":2988},[65],{"categories":2990},[],{"categories":2992},[65],{"categories":2994},[114],{"categories":2996},[65],{"categories":2998},[65],{"categories":3000},[],{"categories":3002},[126],{"categories":3004},[65],{"categories":3006},[126],{"categories":3008},[260],{"categories":3010},[65],{"categories":3012},[65],{"categories":3014},[126],{"categories":3016},[109],{"categories":3018},[65],{"categories":3020},[1687],{"categories":3022},[],{"categories":3024},[114],{"categories":3026},[104],{"categories":3028},[65],{"categories":3030},[104],{"categories":3032},[65],{"categories":3034},[],{"categories":3036},[114],{"categories":3038},[65],{"categories":3040},[3041],"AI Design Tooling",{"categories":3043},[194],{"categories":3045},[65],{"categories":3047},[65],{"categories":3049},[126],{"categories":3051},[194],{"categories":3053},[65],{"categories":3055},[126],{"categories":3057},[148],{"categories":3059},[117],{"categories":3061},[126],{"categories":3063},[65],{"categories":3065},[65],{"categories":3067},[114],{"categories":3069},[65],{"categories":3071},[],{"categories":3073},[65],{"categories":3075},[65],{"categories":3077},[114],{"categories":3079},[65],{"categories":3081},[65],{"categories":3083},[65],{"categories":3085},[114],{"categories":3087},[],{"categories":3089},[114],{"categories":3091},[2926],{"categories":3093},[65],{"categories":3095},[65],{"categories":3097},[114],{"categories":3099},[114],{"categories":3101},[126],{"categories":3103},[126],{"categories":3105},[],{"categories":3107},[126],{"categories":3109},[65],{"categories":3111},[65],{"categories":3113},[114],{"categories":3115},[109],{"categories":3117},[65],{"categories":3119},[],{"categories":3121},[65],{"categories":3123},[65],{"categories":3125},[2088],{"categories":3127},[],{"categories":3129},[65],{"categories":3131},[65],{"categories":3133},[65],{"categories":3135},[65],{"categories":3137},[194],{"categories":3139},[65],{"categories":3141},[],{"categories":3143},[65],{"categories":3145},[65],{"categories":3147},[65],{"categories":3149},[223],{"categories":3151},[148],{"categories":3153},[65],{"categories":3155},[65],{"categories":3157},[1687],{"categories":3159},[104],{"categories":3161},[65],{"categories":3163},[65],{"categories":3165},[151],{"categories":3167},[65],{"categories":3169},[65],{"categories":3171},[148],{"categories":3173},[114],{"categories":3175},[],{"categories":3177},[65],{"categories":3179},[65],{"categories":3181},[194],{"categories":3183},[65],{"categories":3185},[223],{"categories":3187},[114],{"categories":3189},[65],{"categories":3191},[114],{"categories":3193},[],{"categories":3195},[],{"categories":3197},[],{"categories":3199},[104],{"categories":3201},[148],{"categories":3203},[114],{"categories":3205},[65],{"categories":3207},[65],{"categories":3209},[65],{"categories":3211},[65],{"categories":3213},[375],{"categories":3215},[194],{"categories":3217},[114],{"categories":3219},[65],{"categories":3221},[],{"categories":3223},[114],{"categories":3225},[114],{"categories":3227},[],{"categories":3229},[65],{"categories":3231},[114],{"categories":3233},[65],{"categories":3235},[],{"categories":3237},[65],{"categories":3239},[65],{"categories":3241},[148],{"categories":3243},[194],{"categories":3245},[114],{"categories":3247},[194],{"categories":3249},[114],{"categories":3251},[65],{"categories":3253},[109],{"categories":3255},[],{"categories":3257},[],{"categories":3259},[65],{"categories":3261},[65],{"categories":3263},[104],{"categories":3265},[114],{"categories":3267},[148],{"categories":3269},[],{"categories":3271},[194],{"categories":3273},[],{"categories":3275},[126],{"categories":3277},[65],{"categories":3279},[126],{"categories":3281},[194],{"categories":3283},[126],{"categories":3285},[65],{"categories":3287},[],{"categories":3289},[65],{"categories":3291},[65],{"categories":3293},[],{"categories":3295},[65],{"categories":3297},[223],{"categories":3299},[65],{"categories":3301},[260],{"categories":3303},[126],{"categories":3305},[65],{"categories":3307},[],{"categories":3309},[114],{"categories":3311},[65],{"categories":3313},[104],{"categories":3315},[486],{"categories":3317},[65],{"categories":3319},[114],{"categories":3321},[65],{"categories":3323},[114],{"categories":3325},[65],{"categories":3327},[65],{"categories":3329},[65],{"categories":3331},[],{"categories":3333},[65],{"categories":3335},[104],{"categories":3337},[65],{"categories":3339},[109],{"categories":3341},[126],{"categories":3343},[194],{"categories":3345},[],{"categories":3347},[65],{"categories":3349},[],{"categories":3351},[],{"categories":3353},[114],{"categories":3355},[65],{"categories":3357},[126],{"categories":3359},[194],{"categories":3361},[148],{"categories":3363},[65],{"categories":3365},[148],{"categories":3367},[114],{"categories":3369},[194],{"categories":3371},[65],{"categories":3373},[],{"categories":3375},[65],{"categories":3377},[137],{"categories":3379},[114],{"categories":3381},[194],{"categories":3383},[148],{"categories":3385},[109],{"categories":3387},[126],{"categories":3389},[65],{"categories":3391},[65],{"categories":3393},[148],{"categories":3395},[223],{"categories":3397},[],{"categories":3399},[],{"categories":3401},[151],{"categories":3403},[431],{"categories":3405},[65],{"categories":3407},[114],{"categories":3409},[65,126],{"categories":3411},[148],{"categories":3413},[65],{"categories":3415},[65],{"categories":3417},[65],{"categories":3419},[65],{"categories":3421},[114],{"categories":3423},[65],{"categories":3425},[114],{"categories":3427},[65],{"categories":3429},[65],{"categories":3431},[65],{"categories":3433},[],{"categories":3435},[65],{"categories":3437},[1157],{"categories":3439},[126],{"categories":3441},[194],{"categories":3443},[65],{"categories":3445},[65],{"categories":3447},[65],{"categories":3449},[151],{"categories":3451},[114],{"categories":3453},[223],{"categories":3455},[260],{"categories":3457},[],{"categories":3459},[65],{"categories":3461},[109],{"categories":3463},[114],{"categories":3465},[104],{"categories":3467},[114],{"categories":3469},[65],{"categories":3471},[114],{"categories":3473},[114],{"categories":3475},[117],{"categories":3477},[126],{"categories":3479},[65],{"categories":3481},[65],{"categories":3483},[],{"categories":3485},[],{"categories":3487},[],{"categories":3489},[260],{"categories":3491},[65],{"categories":3493},[148],{"categories":3495},[65],{"categories":3497},[65],{"categories":3499},[65],{"categories":3501},[65],{"categories":3503},[],{"categories":3505},[65],{"categories":3507},[151],{"categories":3509},[109],{"categories":3511},[114],{"categories":3513},[65],{"categories":3515},[],{"categories":3517},[65],{"categories":3519},[114],{"categories":3521},[65],{"categories":3523},[260],{"categories":3525},[],{"categories":3527},[194],{"categories":3529},[194],{"categories":3531},[],{"categories":3533},[126],{"categories":3535},[65],{"categories":3537},[194],{"categories":3539},[65],{"categories":3541},[109],{"categories":3543},[114],{"categories":3545},[65],{"categories":3547},[],{"categories":3549},[148],{"categories":3551},[65],{"categories":3553},[65],{"categories":3555},[65],{"categories":3557},[194],{"categories":3559},[114],{"categories":3561},[148],{"categories":3563},[],{"categories":3565},[114],{"categories":3567},[109],{"categories":3569},[114],{"categories":3571},[194],{"categories":3573},[65],{"categories":3575},[65],{"categories":3577},[65],{"categories":3579},[431],{"categories":3581},[65],{"categories":3583},[],{"categories":3585},[65],{"categories":3587},[65],{"categories":3589},[260],{"categories":3591},[148],{"categories":3593},[151],{"categories":3595},[522],{"categories":3597},[151],{"categories":3599},[65],{"categories":3601},[],{"categories":3603},[],{"categories":3605},[],{"categories":3607},[114],{"categories":3609},[114],{"categories":3611},[126],{"categories":3613},[65],{"categories":3615},[408],{"categories":3617},[126],{"categories":3619},[65],{"categories":3621},[65],{"categories":3623},[65],{"categories":3625},[65],{"categories":3627},[114],{"categories":3629},[],{"categories":3631},[],{"categories":3633},[65],{"categories":3635},[],{"categories":3637},[65],{"categories":3639},[114],{"categories":3641},[194],{"categories":3643},[65],{"categories":3645},[65],{"categories":3647},[],{"categories":3649},[114],{"categories":3651},[117],{"categories":3653},[65],{"categories":3655},[194],{"categories":3657},[65],{"categories":3659},[114],{"categories":3661},[109],{"categories":3663},[65],{"categories":3665},[223],{"categories":3667},[114],{"categories":3669},[65],{"categories":3671},[65],{"categories":3673},[822],{"categories":3675},[65],{"categories":3677},[114],{"categories":3679},[65],{"categories":3681},[126],{"categories":3683},[65],{"categories":3685},[486],{"categories":3687},[194],{"categories":3689},[],{"categories":3691},[65],{"categories":3693},[148],{"categories":3695},[431],{"categories":3697},[114],{"categories":3699},[65],{"categories":3701},[],{"categories":3703},[148],{"categories":3705},[352],{"categories":3707},[114],{"categories":3709},[114],{"categories":3711},[114],{"categories":3713},[65],{"categories":3715},[65],{"categories":3717},[114],{"categories":3719},[],{"categories":3721},[109],{"categories":3723},[65],{"categories":3725},[109],{"categories":3727},[114],{"categories":3729},[],{"categories":3731},[126],{"categories":3733},[65],{"categories":3735},[65],{"categories":3737},[104],{"categories":3739},[148],{"categories":3741},[260],{"categories":3743},[137],{"categories":3745},[114],{"categories":3747},[114],{"categories":3749},[65],{"categories":3751},[114],{"categories":3753},[65],{"categories":3755},[104],{"categories":3757},[],{"categories":3759},[65],{"categories":3761},[65],{"categories":3763},[65],{"categories":3765},[114],{"categories":3767},[65],{"categories":3769},[],{"categories":3771},[],{"categories":3773},[194],{"categories":3775},[114],{"categories":3777},[65,109],{"categories":3779},[114],{"categories":3781},[65],{"categories":3783},[],{"categories":3785},[104],{"categories":3787},[151],{"categories":3789},[109],{"categories":3791},[65],{"categories":3793},[126],{"categories":3795},[65],{"categories":3797},[65],{"categories":3799},[114],{"categories":3801},[65],{"categories":3803},[65],{"categories":3805},[65],{"categories":3807},[148],{"categories":3809},[1157],{"categories":3811},[114],{"categories":3813},[65],{"categories":3815},[],{"categories":3817},[],{"categories":3819},[65],{"categories":3821},[114],{"categories":3823},[65],{"categories":3825},[65],{"categories":3827},[260],{"categories":3829},[],{"categories":3831},[65],{"categories":3833},[114],{"categories":3835},[137],{"categories":3837},[114],{"categories":3839},[431],{"categories":3841},[],{"categories":3843},[375],{"categories":3845},[114],{"categories":3847},[65],{"categories":3849},[223],{"categories":3851},[114],{"categories":3853},[65],{"categories":3855},[151],{"categories":3857},[117],{"categories":3859},[114],{"categories":3861},[65],{"categories":3863},[431],{"categories":3865},[65],{"categories":3867},[260],{"categories":3869},[],{"categories":3871},[65],{"categories":3873},[223],{"categories":3875},[194],{"categories":3877},[65],{"categories":3879},[65],{"categories":3881},[65],{"categories":3883},[],{"categories":3885},[223],{"categories":3887},[148],{"categories":3889},[65],{"categories":3891},[65],{"categories":3893},[65],{"categories":3895},[522],{"categories":3897},[104],{"categories":3899},[65],{"categories":3901},[65],{"categories":3903},[],{"categories":3905},[],{"categories":3907},[194],{"categories":3909},[65],{"categories":3911},[151],{"categories":3913},[223],{"categories":3915},[114],{"categories":3917},[65],{"categories":3919},[65],{"categories":3921},[223],{"categories":3923},[148],{"categories":3925},[],{"categories":3927},[65],{"categories":3929},[65],{"categories":3931},[],{"categories":3933},[65],{"categories":3935},[65],{"categories":3937},[547],{"categories":3939},[65],{"categories":3941},[65],{"categories":3943},[114],{"categories":3945},[126],{"categories":3947},[431],{"categories":3949},[65],{"categories":3951},[65],{"categories":3953},[65],{"categories":3955},[],{"categories":3957},[65,126],{"categories":3959},[148],{"categories":3961},[114],{"categories":3963},[126],{"categories":3965},[114],{"categories":3967},[858],{"categories":3969},[126],{"categories":3971},[114],{"categories":3973},[65],{"categories":3975},[104],{"categories":3977},[],{"categories":3979},[],{"categories":3981},[114],{"categories":3983},[65],{"categories":3985},[126],{"categories":3987},[65],{"categories":3989},[104],{"categories":3991},[126],{"categories":3993},[126],{"categories":3995},[65],{"categories":3997},[223],{"categories":3999},[65],{"categories":4001},[126],{"categories":4003},[65],{"categories":4005},[],{"categories":4007},[65],{"categories":4009},[194,65],{"categories":4011},[260],{"categories":4013},[104],{"categories":4015},[65],{"categories":4017},[],{"categories":4019},[65],{"categories":4021},[65],{"categories":4023},[109],{"categories":4025},[65],{"categories":4027},[109],{"categories":4029},[65],{"categories":4031},[65],{"categories":4033},[352],{"categories":4035},[65],{"categories":4037},[109],{"categories":4039},[126],{"categories":4041},[151],{"categories":4043},[114],{"categories":4045},[126],{"categories":4047},[65],{"categories":4049},[65],{"categories":4051},[148],{"categories":4053},[223],{"categories":4055},[194],{"categories":4057},[65],{"categories":4059},[65],{"categories":4061},[65],{"categories":4063},[65],{"categories":4065},[104],{"categories":4067},[65],{"categories":4069},[114],{"categories":4071},[114],{"categories":4073},[126],{"categories":4075},[148],{"categories":4077},[126],{"categories":4079},[126],{"categories":4081},[65],{"categories":4083},[65],{"categories":4085},[],{"categories":4087},[],{"categories":4089},[151],{"categories":4091},[65],{"categories":4093},[126],{"categories":4095},[65],{"categories":4097},[194],{"categories":4099},[431],{"categories":4101},[375],{"categories":4103},[352],{"categories":4105},[65],{"categories":4107},[65],{"categories":4109},[65],{"categories":4111},[151],{"categories":4113},[65],{"categories":4115},[65],{"categories":4117},[65],{"categories":4119},[65],{"categories":4121},[65],{"categories":4123},[65],{"categories":4125},[114],{"categories":4127},[104],{"categories":4129},[114],{"categories":4131},[65,109],{"categories":4133},[],{"categories":4135},[194],{"categories":4137},[],{"categories":4139},[117],{"categories":4141},[65],{"categories":4143},[148],{"categories":4145},[104],{"categories":4147},[65],{"categories":4149},[104],{"categories":4151},[114],{"categories":4153},[151],{"categories":4155},[114],{"categories":4157},[114],{"categories":4159},[65],{"categories":4161},[65],{"categories":4163},[109],{"categories":4165},[114],{"categories":4167},[126],{"categories":4169},[223],{"categories":4171},[65],{"categories":4173},[],{"categories":4175},[148],{"categories":4177},[65],{"categories":4179},[65],{"categories":4181},[65],{"categories":4183},[65],{"categories":4185},[65],{"categories":4187},[65],{"categories":4189},[126],{"categories":4191},[148],{"categories":4193},[126],{"categories":4195},[126],{"categories":4197},[65],{"categories":4199},[65],{"categories":4201},[65],{"categories":4203},[375],{"categories":4205},[65],{"categories":4207},[114],{"categories":4209},[148],{"categories":4211},[65],{"categories":4213},[65],{"categories":4215},[65],{"categories":4217},[114],{"categories":4219},[65],{"categories":4221},[65],{"categories":4223},[65],{"categories":4225},[2926],{"categories":4227},[4228],"Clinical AI",{"categories":4230},[194],{"categories":4232},[65],{"categories":4234},[65],{"categories":4236},[65],{"categories":4238},[260],{"categories":4240},[2325],{"categories":4242},[65],{"categories":4244},[117],{"categories":4246},[65],{"categories":4248},[114],{"categories":4250},[65],{"categories":4252},[65],{"categories":4254},[148],{"categories":4256},[65],{"categories":4258},[114],{"categories":4260},[126],{"categories":4262},[223],{"categories":4264},[65],{"categories":4266},[65],{"categories":4268},[109],{"categories":4270},[65],{"categories":4272},[65],{"categories":4274},[486],{"categories":4276},[65],{"categories":4278},[],{"categories":4280},[65],{"categories":4282},[126],{"categories":4284},[104],{"categories":4286},[65],{"categories":4288},[],{"categories":4290},[],{"categories":4292},[65],{"categories":4294},[],{"categories":4296},[109],{"categories":4298},[65],{"categories":4300},[65],{"categories":4302},[114],{"categories":4304},[148],{"categories":4306},[148],{"categories":4308},[148],{"categories":4310},[148],{"categories":4312},[],{"categories":4314},[104],{"categories":4316},[114],{"categories":4318},[148],{"categories":4320},[65],{"categories":4322},[547],{"categories":4324},[117],{"categories":4326},[65],{"categories":4328},[104],{"categories":4330},[65],{"categories":4332},[114],{"categories":4334},[65],{"categories":4336},[65],{"categories":4338},[65,114],{"categories":4340},[114],{"categories":4342},[260],{"categories":4344},[148],{"categories":4346},[114],{"categories":4348},[148],{"categories":4350},[114],{"categories":4352},[65],{"categories":4354},[],{"categories":4356},[148],{"categories":4358},[223],{"categories":4360},[104],{"categories":4362},[65],{"categories":4364},[65],{"categories":4366},[],{"categories":4368},[126],{"categories":4370},[],{"categories":4372},[104],{"categories":4374},[114],{"categories":4376},[148],{"categories":4378},[65],{"categories":4380},[148],{"categories":4382},[104],{"categories":4384},[148],{"categories":4386},[148],{"categories":4388},[],{"categories":4390},[109],{"categories":4392},[114],{"categories":4394},[148],{"categories":4396},[148],{"categories":4398},[148],{"categories":4400},[148],{"categories":4402},[148],{"categories":4404},[148],{"categories":4406},[148],{"categories":4408},[148],{"categories":4410},[148],{"categories":4412},[148],{"categories":4414},[151],{"categories":4416},[104],{"categories":4418},[65],{"categories":4420},[65],{"categories":4422},[114],{"categories":4424},[114],{"categories":4426},[],{"categories":4428},[65],{"categories":4430},[65,104],{"categories":4432},[],{"categories":4434},[114],{"categories":4436},[65],{"categories":4438},[148],{"categories":4440},[114],{"categories":4442},[858],{"categories":4444},[65],{"categories":4446},[65],{"categories":4448},[65],{"categories":4450},[65],{"categories":4452},[65],{"categories":4454},[352],{"categories":4456},[65],{"categories":4458},[65],{"categories":4460},[114],{"categories":4462},[65],{"categories":4464},[109],{"categories":4466},[117],{"categories":4468},[114],{"categories":4470},[114],{"categories":4472},[],{"categories":4474},[114],{"categories":4476},[194],{"categories":4478},[148],{"categories":4480},[65],{"categories":4482},[],{"categories":4484},[117],{"categories":4486},[],{"categories":4488},[126],{"categories":4490},[114],{"categories":4492},[194],{"categories":4494},[65],{"categories":4496},[],{"categories":4498},[65],{"categories":4500},[],{"categories":4502},[223],{"categories":4504},[65],{"categories":4506},[],{"categories":4508},[],{"categories":4510},[148],{"categories":4512},[104],{"categories":4514},[65],{"categories":4516},[65],{"categories":4518},[109],{"categories":4520},[65],{"categories":4522},[65],{"categories":4524},[65],{"categories":4526},[109],{"categories":4528},[109],{"categories":4530},[194],{"categories":4532},[],{"categories":4534},[65],{"categories":4536},[148],{"categories":4538},[],{"categories":4540},[65],{"categories":4542},[65],{"categories":4544},[194],{"categories":4546},[65],{"categories":4548},[223],{"categories":4550},[65],{"categories":4552},[260],{"categories":4554},[],{"categories":4556},[114],{"categories":4558},[223],{"categories":4560},[126],{"categories":4562},[],{"categories":4564},[65],{"categories":4566},[],{"categories":4568},[114],{"categories":4570},[194],{"categories":4572},[126],{"categories":4574},[],{"categories":4576},[2926],{"categories":4578},[109],{"categories":4580},[104],{"categories":4582},[65],{"categories":4584},[151],{"categories":4586},[114],{"categories":4588},[194],{"categories":4590},[126],{"categories":4592},[],{"categories":4594},[],{"categories":4596},[65],{"categories":4598},[104],{"categories":4600},[65],{"categories":4602},[223],{"categories":4604},[],{"categories":4606},[114],{"categories":4608},[114],{"categories":4610},[65],{"categories":4612},[114],{"categories":4614},[65],{"categories":4616},[148],{"categories":4618},[126],{"categories":4620},[65],{"categories":4622},[114],{"categories":4624},[117],{"categories":4626},[65],{"categories":4628},[65],{"categories":4630},[114],{"categories":4632},[65],{"categories":4634},[117],{"categories":4636},[223],{"categories":4638},[148],{"categories":4640},[],{"categories":4642},[223],{"categories":4644},[65],{"categories":4646},[],{"categories":4648},[126],{"categories":4650},[114],{"categories":4652},[],{"categories":4654},[65],{"categories":4656},[65],{"categories":4658},[65],{"categories":4660},[65],{"categories":4662},[65],{"categories":4664},[114],{"categories":4666},[109],{"categories":4668},[104],{"categories":4670},[65],{"categories":4672},[194],{"categories":4674},[126],{"categories":4676},[126],{"categories":4678},[65],{"categories":4680},[151],{"categories":4682},[114],{"categories":4684},[65],{"categories":4686},[65],{"categories":4688},[114],{"categories":4690},[65],{"categories":4692},[109],{"categories":4694},[194],{"categories":4696},[126],{"categories":4698},[114],{"categories":4700},[65],{"categories":4702},[117],{"categories":4704},[65],{"categories":4706},[114],{"categories":4708},[65],{"categories":4710},[65],{"categories":4712},[148],{"categories":4714},[65],{"categories":4716},[],{"categories":4718},[104],{"categories":4720},[65],{"categories":4722},[65],{"categories":4724},[65],{"categories":4726},[126],{"categories":4728},[126],{"categories":4730},[65],{"categories":4732},[126],{"categories":4734},[65],{"categories":4736},[114],{"categories":4738},[65],{"categories":4740},[65],{"categories":4742},[65],{"categories":4744},[65],{"categories":4746},[65],{"categories":4748},[],{"categories":4750},[65],{"categories":4752},[194],{"categories":4754},[109],{"categories":4756},[148],{"categories":4758},[65],{"categories":4760},[114],{"categories":4762},[65],{"categories":4764},[114],{"categories":4766},[65],{"categories":4768},[65],{"categories":4770},[194],{"categories":4772},[114],{"categories":4774},[65],{"categories":4776},[223],{"categories":4778},[65],{"categories":4780},[151],{"categories":4782},[65],{"categories":4784},[65],{"categories":4786},[148],{"categories":4788},[65],{"categories":4790},[65],{"categories":4792},[65],{"categories":4794},[65],{"categories":4796},[114],{"categories":4798},[260],{"categories":4800},[65],{"categories":4802},[126],{"categories":4804},[114],{"categories":4806},[151],{"categories":4808},[],{"categories":4810},[114],{"categories":4812},[126],{"categories":4814},[65],{"categories":4816},[65],{"categories":4818},[2171],{"categories":4820},[194],{"categories":4822},[289],{"categories":4824},[65],{"categories":4826},[65],{"categories":4828},[65],{"categories":4830},[65],{"categories":4832},[104],{"categories":4834},[65],{"categories":4836},[65],{"categories":4838},[126],{"categories":4840},[109],{"categories":4842},[126],{"categories":4844},[65],{"categories":4846},[],{"categories":4848},[114],{"categories":4850},[114],{"categories":4852},[65],{"categories":4854},[65],{"categories":4856},[151],{"categories":4858},[],{"categories":4860},[148],{"categories":4862},[],{"categories":4864},[148],{"categories":4866},[65],{"categories":4868},[65],{"categories":4870},[114],{"categories":4872},[65],{"categories":4874},[114],{"categories":4876},[114],{"categories":4878},[],{"categories":4880},[148],{"categories":4882},[65],{"categories":4884},[],{"categories":4886},[65],{"categories":4888},[65],{"categories":4890},[],{"categories":4892},[65],{"categories":4894},[194],{"categories":4896},[126],{"categories":4898},[114],{"categories":4900},[65],{"categories":4902},[65],{"categories":4904},[65],{"categories":4906},[223],{"categories":4908},[65],{"categories":4910},[65],{"categories":4912},[65],{"categories":4914},[104],{"categories":4916},[65],{"categories":4918},[65],{"categories":4920},[],{"categories":4922},[65],{"categories":4924},[65],{"categories":4926},[],{"categories":4928},[104],{"categories":4930},[65],{"categories":4932},[148],{"categories":4934},[126],{"categories":4936},[117],{"categories":4938},[431],{"categories":4940},[65],{"categories":4942},[65],{"categories":4944},[65],{"categories":4946},[126],{"categories":4948},[148],{"categories":4950},[194],{"categories":4952},[65],{"categories":4954},[65],{"categories":4956},[65],{"categories":4958},[65],{"categories":4960},[148],{"categories":4962},[194],{"categories":4964},[65],{"categories":4966},[65],{"categories":4968},[148],{"categories":4970},[194],{"categories":4972},[65],{"categories":4974},[148],{"categories":4976},[65],{"categories":4978},[114],{"categories":4980},[114],{"categories":4982},[114],{"categories":4984},[126],{"categories":4986},[148],{"categories":4988},[114],{"categories":4990},[114],{"categories":4992},[65],{"categories":4994},[126],{"categories":4996},[194],{"categories":4998},[65],{"categories":5000},[65],{"categories":5002},[65],{"categories":5004},[],{"categories":5006},[114],{"categories":5008},[],{"categories":5010},[65],{"categories":5012},[65],{"categories":5014},[],{"categories":5016},[],{"categories":5018},[114],{"categories":5020},[109],{"categories":5022},[114],{"categories":5024},[5025],"Liability & Ethics",{"categories":5027},[65],{"categories":5029},[65],{"categories":5031},[114],{"categories":5033},[104],{"categories":5035},[114],{"categories":5037},[109],{"categories":5039},[223],{"categories":5041},[114],{"categories":5043},[65],{"categories":5045},[65],{"categories":5047},[],{"categories":5049},[522],{"categories":5051},[114],{"categories":5053},[],{"categories":5055},[65],{"categories":5057},[104],{"categories":5059},[114],{"categories":5061},[],{"categories":5063},[114],{"categories":5065},[65],{"categories":5067},[65],{"categories":5069},[126],{"categories":5071},[65],{"categories":5073},[148],{"categories":5075},[65],{"categories":5077},[65],{"categories":5079},[114],{"categories":5081},[65],{"categories":5083},[65],{"categories":5085},[65],{"categories":5087},[148],{"categories":5089},[114],{"categories":5091},[126],{"categories":5093},[194],{"categories":5095},[104],{"categories":5097},[65],{"categories":5099},[65],{"categories":5101},[],{"categories":5103},[114],{"categories":5105},[114],{"categories":5107},[114],{"categories":5109},[431],{"categories":5111},[194],{"categories":5113},[114],{"categories":5115},[260],{"categories":5117},[126],{"categories":5119},[148],{"categories":5121},[65],{"categories":5123},[194],{"categories":5125},[65],{"categories":5127},[104],{"categories":5129},[],{"categories":5131},[114],{"categories":5133},[65],{"categories":5135},[65],{"categories":5137},[65],{"categories":5139},[114],{"categories":5141},[65],{"categories":5143},[194],{"categories":5145},[],{"categories":5147},[114],{"categories":5149},[117],{"categories":5151},[148],{"categories":5153},[114],{"categories":5155},[109],{"categories":5157},[],{"categories":5159},[65],{"categories":5161},[65],{"categories":5163},[117],{"categories":5165},[65],{"categories":5167},[114],{"categories":5169},[148],{"categories":5171},[104],{"categories":5173},[260],{"categories":5175},[65],{"categories":5177},[65],{"categories":5179},[65],{"categories":5181},[148],{"categories":5183},[109],{"categories":5185},[65],{"categories":5187},[194],{"categories":5189},[148],{"categories":5191},[260],{"categories":5193},[65],{"categories":5195},[114],{"categories":5197},[],{"categories":5199},[486],{"categories":5201},[],{"categories":5203},[65],{"categories":5205},[260],{"categories":5207},[65],{"categories":5209},[151],{"categories":5211},[114],{"categories":5213},[114],{"categories":5215},[5216],"Design News & Tools",{"categories":5218},[65],{"categories":5220},[148],{"categories":5222},[65],{"categories":5224},[65],{"categories":5226},[104],{"categories":5228},[65],{"categories":5230},[194],{"categories":5232},[114],{"categories":5234},[114],{"categories":5236},[194],{"categories":5238},[65],{"categories":5240},[431],{"categories":5242},[114],{"categories":5244},[65],{"categories":5246},[65],{"categories":5248},[431],{"categories":5250},[65],{"categories":5252},[223],{"categories":5254},[65],{"categories":5256},[114],{"categories":5258},[],{"categories":5260},[65],{"categories":5262},[65],{"categories":5264},[65],{"categories":5266},[148],{"categories":5268},[104],{"categories":5270},[],{"categories":5272},[65],{"categories":5274},[65],{"categories":5276},[65],{"categories":5278},[126],{"categories":5280},[547],{"categories":5282},[126],{"categories":5284},[194],{"categories":5286},[65],{"categories":5288},[65,114],{"categories":5290},[223,109],{"categories":5292},[126],{"categories":5294},[65],{"categories":5296},[65],{"categories":5298},[65],{"categories":5300},[65],{"categories":5302},[],{"categories":5304},[114],{"categories":5306},[65],{"categories":5308},[],{"categories":5310},[65],{"categories":5312},[126],{"categories":5314},[65],{"categories":5316},[126],{"categories":5318},[],{"categories":5320},[114],{"categories":5322},[65],{"categories":5324},[109],{"categories":5326},[65],{"categories":5328},[148],{"categories":5330},[65],{"categories":5332},[],{"categories":5334},[114],{"categories":5336},[65],{"categories":5338},[],{"categories":5340},[194],{"categories":5342},[65],{"categories":5344},[65],{"categories":5346},[114],{"categories":5348},[65],{"categories":5350},[65],{"categories":5352},[104],{"categories":5354},[114],{"categories":5356},[65],{"categories":5358},[],{"categories":5360},[260],{"categories":5362},[223],{"categories":5364},[109],{"categories":5366},[109],{"categories":5368},[65],{"categories":5370},[104],{"categories":5372},[104],{"categories":5374},[65],{"categories":5376},[114],{"categories":5378},[65],{"categories":5380},[65],{"categories":5382},[65],{"categories":5384},[65],{"categories":5386},[126],{"categories":5388},[65],{"categories":5390},[104],{"categories":5392},[65],{"categories":5394},[114],{"categories":5396},[65],{"categories":5398},[223],{"categories":5400},[65],{"categories":5402},[148],{"categories":5404},[65],{"categories":5406},[65],{"categories":5408},[114],{"categories":5410},[65],{"categories":5412},[114],{"categories":5414},[],{"categories":5416},[126],{"categories":5418},[],{"categories":5420},[126],{"categories":5422},[114],{"categories":5424},[104],{"categories":5426},[],{"categories":5428},[151],{"categories":5430},[260],{"categories":5432},[65],{"categories":5434},[126],{"categories":5436},[65],{"categories":5438},[],{"categories":5440},[148],{"categories":5442},[114],{"categories":5444},[126],{"categories":5446},[194],{"categories":5448},[65],{"categories":5450},[65],{"categories":5452},[114],{"categories":5454},[126],{"categories":5456},[114],{"categories":5458},[148],{"categories":5460},[65],{"categories":5462},[117],{"categories":5464},[104],{"categories":5466},[117],{"categories":5468},[148],{"categories":5470},[65],{"categories":5472},[126],{"categories":5474},[65],{"categories":5476},[194],{"categories":5478},[109],{"categories":5480},[65],{"categories":5482},[65],{"categories":5484},[65],{"categories":5486},[65],{"categories":5488},[65],{"categories":5490},[65],{"categories":5492},[114],{"categories":5494},[65],{"categories":5496},[114],{"categories":5498},[65],{"categories":5500},[65],{"categories":5502},[104],{"categories":5504},[65],{"categories":5506},[114],{"categories":5508},[114],{"categories":5510},[194],{"categories":5512},[114],{"categories":5514},[114],{"categories":5516},[104],{"categories":5518},[114],{"categories":5520},[194],{"categories":5522},[],{"categories":5524},[65],{"categories":5526},[151],{"categories":5528},[431],{"categories":5530},[65],{"categories":5532},[65],{"categories":5534},[65],{"categories":5536},[126],{"categories":5538},[65],{"categories":5540},[],{"categories":5542},[65],{"categories":5544},[114],{"categories":5546},[65],{"categories":5548},[223],{"categories":5550},[65],{"categories":5552},[148],{"categories":5554},[114],{"categories":5556},[65],{"categories":5558},[223],{"categories":5560},[114],{"categories":5562},[109],{"categories":5564},[109],{"categories":5566},[65],{"categories":5568},[65],{"categories":5570},[65],{"categories":5572},[65],{"categories":5574},[65],{"categories":5576},[104],{"categories":5578},[],{"categories":5580},[65],{"categories":5582},[65],{"categories":5584},[114],{"categories":5586},[114],{"categories":5588},[65],{"categories":5590},[65],{"categories":5592},[65],{"categories":5594},[126],{"categories":5596},[],{"categories":5598},[104],{"categories":5600},[65],{"categories":5602},[65],{"categories":5604},[114],{"categories":5606},[114],{"categories":5608},[],{"categories":5610},[126],{"categories":5612},[126],{"categories":5614},[65],{"categories":5616},[223],{"categories":5618},[109],{"categories":5620},[194],{"categories":5622},[],{"categories":5624},[65],{"categories":5626},[114],{"categories":5628},[104],{"categories":5630},[65],{"categories":5632},[65],{"categories":5634},[126],{"categories":5636},[104],{"categories":5638},[65],{"categories":5640},[65],{"categories":5642},[148],{"categories":5644},[151],{"categories":5646},[148],{"categories":5648},[114],{"categories":5650},[65],{"categories":5652},[],{"categories":5654},[148],{"categories":5656},[114],{"categories":5658},[194],{"categories":5660},[151],{"categories":5662},[65],{"categories":5664},[65],{"categories":5666},[],{"categories":5668},[114],{"categories":5670},[114],{"categories":5672},[114],{"categories":5674},[2926],{"categories":5676},[148],{"categories":5678},[65],{"categories":5680},[126],{"categories":5682},[65],{"categories":5684},[65],{"categories":5686},[65],{"categories":5688},[65],{"categories":5690},[109],{"categories":5692},[65],{"categories":5694},[104],{"categories":5696},[1687],{"categories":5698},[260],{"categories":5700},[104],{"categories":5702},[],{"categories":5704},[65],{"categories":5706},[],{"categories":5708},[148],{"categories":5710},[114],{"categories":5712},[194],{"categories":5714},[65],{"categories":5716},[65],{"categories":5718},[148],{"categories":5720},[],{"categories":5722},[114],{"categories":5724},[114],{"categories":5726},[114],{"categories":5728},[],{"categories":5730},[65],{"categories":5732},[],{"categories":5734},[148],{"categories":5736},[104],{"categories":5738},[194],{"categories":5740},[65],{"categories":5742},[114],{"categories":5744},[148],{"categories":5746},[65],{"categories":5748},[148],{"categories":5750},[],{"categories":5752},[148],{"categories":5754},[104],{"categories":5756},[431],{"categories":5758},[114],{"categories":5760},[65],{"categories":5762},[],{"categories":5764},[126],{"categories":5766},[114],{"categories":5768},[117],{"categories":5770},[114],{"categories":5772},[104],{"categories":5774},[],{"categories":5776},[],{"categories":5778},[],{"categories":5780},[194],{"categories":5782},[114],{"categories":5784},[65],{"categories":5786},[65],{"categories":5788},[],{"categories":5790},[],{"categories":5792},[],{"categories":5794},[65],{"categories":5796},[194],{"categories":5798},[65],{"categories":5800},[],{"categories":5802},[114],{"categories":5804},[65],{"categories":5806},[65],{"categories":5808},[104],{"categories":5810},[],{"categories":5812},[],{"categories":5814},[65],{"categories":5816},[194],{"categories":5818},[65],{"categories":5820},[148],{"categories":5822},[],{"categories":5824},[65],{"categories":5826},[223],{"categories":5828},[148],{"categories":5830},[223],{"categories":5832},[151],{"categories":5834},[65],{"categories":5836},[65],{"categories":5838},[],{"categories":5840},[],{"categories":5842},[114],{"categories":5844},[],{"categories":5846},[65],{"categories":5848},[431],{"categories":5850},[65],{"categories":5852},[65],{"categories":5854},[65],{"categories":5856},[65],{"categories":5858},[],{"categories":5860},[114],{"categories":5862},[65],{"categories":5864},[65],{"categories":5866},[],{"categories":5868},[114],{"categories":5870},[65],{"categories":5872},[148],{"categories":5874},[65],{"categories":5876},[223],{"categories":5878},[109],{"categories":5880},[65],{"categories":5882},[65],{"categories":5884},[114],{"categories":5886},[151],{"categories":5888},[114],{"categories":5890},[114],{"categories":5892},[],{"categories":5894},[114],{"categories":5896},[],{"categories":5898},[65],{"categories":5900},[],{"categories":5902},[148],{"categories":5904},[109],{"categories":5906},[],{"categories":5908},[65],{"categories":5910},[65],{"categories":5912},[],{"categories":5914},[194],{"categories":5916},[104],{"categories":5918},[],{"categories":5920},[109],{"categories":5922},[223],{"categories":5924},[65],{"categories":5926},[126],{"categories":5928},[104],{"categories":5930},[151],{"categories":5932},[109],{"categories":5934},[126],{"categories":5936},[114],{"categories":5938},[126],{"categories":5940},[],{"categories":5942},[65],{"categories":5944},[117],{"categories":5946},[65],{"categories":5948},[],{"categories":5950},[114],{"categories":5952},[104],{"categories":5954},[194],{"categories":5956},[65],{"categories":5958},[104],{"categories":5960},[114],{"categories":5962},[260],{"categories":5964},[65],{"categories":5966},[65],{"categories":5968},[65],{"categories":5970},[104],{"categories":5972},[151],{"categories":5974},[114],{"categories":5976},[],{"categories":5978},[65],{"categories":5980},[65],{"categories":5982},[65],{"categories":5984},[126],{"categories":5986},[114],{"categories":5988},[148],{"categories":5990},[126],{"categories":5992},[65],{"categories":5994},[117],{"categories":5996},[],{"categories":5998},[194],{"categories":6000},[126],{"categories":6002},[148],{"categories":6004},[104],{"categories":6006},[114],{"categories":6008},[65],{"categories":6010},[65],{"categories":6012},[114],{"categories":6014},[117],{"categories":6016},[65],{"categories":6018},[114],{"categories":6020},[65],{"categories":6022},[109],{"categories":6024},[114],{"categories":6026},[114,260],{"categories":6028},[65],{"categories":6030},[65],{"categories":6032},[114],{"categories":6034},[126],{"categories":6036},[65],{"categories":6038},[65],{"categories":6040},[151],{"categories":6042},[114],{"categories":6044},[223],{"categories":6046},[114],{"categories":6048},[109],{"categories":6050},[],{"categories":6052},[114],{"categories":6054},[65],{"categories":6056},[109],{"categories":6058},[],{"categories":6060},[],{"categories":6062},[126],{"categories":6064},[65],{"categories":6066},[65],{"categories":6068},[114],{"categories":6070},[151],{"categories":6072},[223],{"categories":6074},[65],{"categories":6076},[65],{"categories":6078},[114],{"categories":6080},[],{"categories":6082},[114],{"categories":6084},[148],{"categories":6086},[114],{"categories":6088},[65],{"categories":6090},[],{"categories":6092},[148],{"categories":6094},[126],{"categories":6096},[2926],{"categories":6098},[104],{"categories":6100},[126],{"categories":6102},[65],{"categories":6104},[114],{"categories":6106},[65],{"categories":6108},[65],{"categories":6110},[223],{"categories":6112},[126],{"categories":6114},[],{"categories":6116},[148],{"categories":6118},[65],{"categories":6120},[],{"categories":6122},[114],{"categories":6124},[65],{"categories":6126},[65],{"categories":6128},[65],{"categories":6130},[65],{"categories":6132},[114],{"categories":6134},[65],{"categories":6136},[65],{"categories":6138},[117],{"categories":6140},[65],{"categories":6142},[114],{"categories":6144},[65],{"categories":6146},[65],{"categories":6148},[65],{"categories":6150},[65],{"categories":6152},[65],{"categories":6154},[65],{"categories":6156},[65],{"categories":6158},[109],{"categories":6160},[],{"categories":6162},[117],{"categories":6164},[148],{"categories":6166},[114],{"categories":6168},[65],{"categories":6170},[126],{"categories":6172},[],{"categories":6174},[126],{"categories":6176},[126],{"categories":6178},[114],{"categories":6180},[126],{"categories":6182},[65],{"categories":6184},[65],{"categories":6186},[65],{"categories":6188},[114],{"categories":6190},[126],{"categories":6192},[65],{"categories":6194},[65],{"categories":6196},[65],{"categories":6198},[114],{"categories":6200},[148],{"categories":6202},[65],{"categories":6204},[65],{"categories":6206},[65],{"categories":6208},[109],{"categories":6210},[65],{"categories":6212},[114],{"categories":6214},[194],{"categories":6216},[],{"categories":6218},[65],{"categories":6220},[151],{"categories":6222},[114],{"categories":6224},[65],{"categories":6226},[65],{"categories":6228},[],{"categories":6230},[65],{"categories":6232},[65],{"categories":6234},[148],{"categories":6236},[65],{"categories":6238},[65],{"categories":6240},[114],{"categories":6242},[223],{"categories":6244},[],{"categories":6246},[],{"categories":6248},[126],{"categories":6250},[65],{"categories":6252},[148],{"categories":6254},[65],{"categories":6256},[126],{"categories":6258},[148],{"categories":6260},[65],{"categories":6262},[223],{"categories":6264},[151],{"categories":6266},[65],{"categories":6268},[65],{"categories":6270},[104],{"categories":6272},[114],{"categories":6274},[65],{"categories":6276},[65],{"categories":6278},[114],{"categories":6280},[114],{"categories":6282},[65],{"categories":6284},[109],{"categories":6286},[],{"categories":6288},[151],{"categories":6290},[65],{"categories":6292},[],{"categories":6294},[148],{"categories":6296},[65],{"categories":6298},[151],{"categories":6300},[65],{"categories":6302},[126],{"categories":6304},[126],{"categories":6306},[126],{"categories":6308},[114],{"categories":6310},[114],{"categories":6312},[65],{"categories":6314},[114],{"categories":6316},[65],{"categories":6318},[65],{"categories":6320},[194],{"categories":6322},[151],{"categories":6324},[151],{"categories":6326},[],{"categories":6328},[148],{"categories":6330},[65],{"categories":6332},[65],{"categories":6334},[126],{"categories":6336},[],{"categories":6338},[148],{"categories":6340},[148],{"categories":6342},[148],{"categories":6344},[],{"categories":6346},[114],{"categories":6348},[65],{"categories":6350},[],{"categories":6352},[104],{"categories":6354},[109],{"categories":6356},[],{"categories":6358},[65],{"categories":6360},[65],{"categories":6362},[],{"categories":6364},[126],{"categories":6366},[],{"categories":6368},[],{"categories":6370},[],{"categories":6372},[],{"categories":6374},[65],{"categories":6376},[148],{"categories":6378},[],{"categories":6380},[],{"categories":6382},[65],{"categories":6384},[65],{"categories":6386},[65],{"categories":6388},[151],{"categories":6390},[65],{"categories":6392},[151],{"categories":6394},[],{"categories":6396},[151],{"categories":6398},[151],{"categories":6400},[260],{"categories":6402},[114],{"categories":6404},[126],{"categories":6406},[],{"categories":6408},[],{"categories":6410},[151],{"categories":6412},[126],{"categories":6414},[126],{"categories":6416},[126],{"categories":6418},[],{"categories":6420},[104],{"categories":6422},[126],{"categories":6424},[126],{"categories":6426},[104],{"categories":6428},[126],{"categories":6430},[109],{"categories":6432},[126],{"categories":6434},[126],{"categories":6436},[126],{"categories":6438},[151],{"categories":6440},[148],{"categories":6442},[148],{"categories":6444},[65],{"categories":6446},[126],{"categories":6448},[151],{"categories":6450},[260],{"categories":6452},[151],{"categories":6454},[151],{"categories":6456},[151],{"categories":6458},[],{"categories":6460},[109],{"categories":6462},[],{"categories":6464},[260],{"categories":6466},[126],{"categories":6468},[126],{"categories":6470},[126],{"categories":6472},[114],{"categories":6474},[148,109],{"categories":6476},[151],{"categories":6478},[],{"categories":6480},[],{"categories":6482},[151],{"categories":6484},[],{"categories":6486},[151],{"categories":6488},[148],{"categories":6490},[114],{"categories":6492},[],{"categories":6494},[126],{"categories":6496},[65],{"categories":6498},[194],{"categories":6500},[],{"categories":6502},[65],{"categories":6504},[],{"categories":6506},[148],{"categories":6508},[104],{"categories":6510},[151],{"categories":6512},[],{"categories":6514},[126],{"categories":6516},[148],[6518,6595,6655,6727],{"id":6519,"title":6520,"ai":6521,"body":6526,"categories":6575,"created_at":66,"date_modified":66,"description":59,"extension":67,"faq":66,"featured":68,"kicker_label":66,"meta":6576,"navigation":82,"path":6585,"published_at":6586,"question":66,"scraped_at":6586,"seo":6587,"sitemap":6588,"source_id":6589,"source_name":88,"source_type":89,"source_url":6580,"stem":6590,"tags":6591,"thumbnail_url":66,"tldr":6592,"tweet":66,"unknown_tags":6593,"__hash__":6594},"summaries\u002Fsummaries\u002F846e1b625d3de3fc-mindmemos-a-self-evolving-memory-layer-for-ai-agen-summary.md","MindMemOS: A Self-Evolving Memory Layer for AI Agents",{"provider":7,"model":8,"input_tokens":6522,"output_tokens":6523,"processing_time_ms":6524,"cost_usd":6525},4052,573,2619,0.0018725,{"type":14,"value":6527,"toc":6570},[6528,6532,6535,6539,6542,6563,6567],[17,6529,6531],{"id":6530},"the-architecture-of-portable-memory","The Architecture of Portable Memory",[22,6533,6534],{},"MindMemOS addresses the critical bottleneck in current AI agent development: the lack of a standardized, persistent, and evolving memory layer. Most agents rely on transient context windows or static RAG (Retrieval-Augmented Generation) systems that fail to adapt as the agent interacts with new environments. MindMemOS functions as an operating layer that sits between the agent's core model and its data storage, providing a unified interface for memory management that is model-agnostic and portable across different agent frameworks.",[17,6536,6538],{"id":6537},"self-evolving-memory-dynamics","Self-Evolving Memory Dynamics",[22,6540,6541],{},"Unlike traditional databases, MindMemOS treats memory as a dynamic, self-evolving entity. It employs a multi-tiered architecture that manages memory through three primary processes:",[6543,6544,6545,6551,6557],"ol",{},[36,6546,6547,6550],{},[39,6548,6549],{},"Active Consolidation:"," The system continuously evaluates incoming interactions, distilling transient information into structured, long-term knowledge representations.",[36,6552,6553,6556],{},[39,6554,6555],{},"Adaptive Retrieval:"," Rather than relying on simple vector similarity, the layer uses context-aware retrieval mechanisms that adjust based on the agent's current task and historical performance.",[36,6558,6559,6562],{},[39,6560,6561],{},"Self-Optimization:"," The memory layer periodically refines its own indexing and storage structures, effectively 'pruning' irrelevant information and strengthening high-utility associations without requiring manual intervention or retraining of the underlying LLM.",[17,6564,6566],{"id":6565},"decoupling-intelligence-from-storage","Decoupling Intelligence from Storage",[22,6568,6569],{},"By abstracting memory into an operating layer, MindMemOS allows developers to swap out underlying models (e.g., moving from GPT-4 to a local Llama-3 instance) without losing the agent's accumulated knowledge. This portability solves the 'vendor lock-in' problem common in proprietary agent platforms. The system provides a consistent API for state management, ensuring that an agent's 'personality' and learned task-specific strategies persist regardless of the compute backend. This approach significantly reduces the overhead of managing agent state, as the memory layer handles the complexities of storage, retrieval, and evolution, allowing the agent to focus purely on reasoning and execution.",{"title":59,"searchDepth":60,"depth":60,"links":6571},[6572,6573,6574],{"id":6530,"depth":60,"text":6531},{"id":6537,"depth":60,"text":6538},{"id":6565,"depth":60,"text":6566},[65],{"content_references":6577,"triage":6581},[6578],{"type":72,"title":6579,"url":6580,"context":76},"MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.12428",{"relevance":6582,"novelty":78,"quality":78,"actionability":79,"composite":6583,"reasoning":6584},5,4.15,"Category: AI & LLMs. The article presents a novel architecture for AI agents that addresses a critical limitation in current systems, making it highly relevant for developers building AI-powered products. It introduces actionable concepts like 'Active Consolidation' and 'Adaptive Retrieval,' which could inspire practical implementations, though it lacks detailed step-by-step guidance.","\u002Fsummaries\u002F846e1b625d3de3fc-mindmemos-a-self-evolving-memory-layer-for-ai-agen-summary","2026-08-15 03:11:02",{"title":6520,"description":59},{"loc":6585},"846e1b625d3de3fc","summaries\u002F846e1b625d3de3fc-mindmemos-a-self-evolving-memory-layer-for-ai-agen-summary",[94,92,93,95],"MindMemOS introduces a portable, self-evolving memory operating layer that decouples agent intelligence from long-term storage, enabling persistent, adaptive memory across diverse AI architectures.",[95],"ITkqa-R8MIN-Dei8VvFVflf2HQRuhLUTbonm1mftHgs",{"id":6596,"title":6597,"ai":6598,"body":6603,"categories":6631,"created_at":66,"date_modified":66,"description":59,"extension":67,"faq":66,"featured":68,"kicker_label":66,"meta":6632,"navigation":82,"path":6646,"published_at":84,"question":66,"scraped_at":84,"seo":6647,"sitemap":6648,"source_id":6649,"source_name":88,"source_type":89,"source_url":6637,"stem":6650,"tags":6651,"thumbnail_url":66,"tldr":6652,"tweet":66,"unknown_tags":6653,"__hash__":6654},"summaries\u002Fsummaries\u002Fdefa0bd3939e07d1-evaluation-conditioned-training-for-stronger-overs-summary.md","Evaluation-Conditioned Training for Stronger Oversight",{"provider":7,"model":8,"input_tokens":6599,"output_tokens":6600,"processing_time_ms":6601,"cost_usd":6602},4072,540,3183,0.001828,{"type":14,"value":6604,"toc":6626},[6605,6609,6612,6616,6619,6623],[17,6606,6608],{"id":6607},"the-challenge-of-oversight-generalization","The Challenge of Oversight Generalization",[22,6610,6611],{},"Modern AI agents often struggle when the quality or strictness of their oversight (the feedback or evaluation mechanism) changes between training and deployment. If a model is trained under weak oversight, it may fail to maintain high performance or safety standards when subjected to more rigorous, 'stronger' oversight regimes. Evaluation-Conditioned Training (ECT) addresses this by explicitly conditioning the model's policy on the evaluation regime, allowing it to learn how to adjust its behavior dynamically.",[17,6613,6615],{"id":6614},"the-ect-framework","The ECT Framework",[22,6617,6618],{},"Instead of training a model against a static evaluation metric, ECT incorporates the oversight regime as an input parameter during the training process. By exposing the agent to a distribution of oversight strengths—ranging from weak to strong—the model learns to optimize its output based on the expected rigor of the evaluator. This approach forces the model to internalize the requirements of higher-quality oversight, effectively 'teaching' it to generalize its performance beyond the limitations of its initial training environment.",[17,6620,6622],{"id":6621},"practical-implications-for-ai-agents","Practical Implications for AI Agents",[22,6624,6625],{},"This technique is particularly relevant for building robust AI agents that must operate in diverse environments. By conditioning on the evaluation regime, developers can ensure that agents do not 'overfit' to weak feedback loops. The research suggests that this method significantly improves the agent's ability to handle more complex or stringent evaluation criteria without requiring exhaustive retraining for every new oversight standard. The provided code implementation allows practitioners to integrate this conditioning into existing agent training pipelines.",{"title":59,"searchDepth":60,"depth":60,"links":6627},[6628,6629,6630],{"id":6607,"depth":60,"text":6608},{"id":6614,"depth":60,"text":6615},{"id":6621,"depth":60,"text":6622},[65],{"content_references":6633,"triage":6643},[6634,6639],{"type":6635,"title":6636,"url":6637,"context":6638},"other","Evaluation-Conditioned Training: Teaching Models to Generalize to Stronger Oversight Regimes","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10209","recommended",{"type":6640,"title":6641,"url":6642,"context":6638},"tool","Evaluation-Conditioned Training Code","https:\u002F\u002Fgithub.com\u002Fevaluationconditionedtraining\u002FEvaluation-Conditioned-Training",{"relevance":6582,"novelty":78,"quality":78,"actionability":78,"composite":6644,"reasoning":6645},4.35,"Category: AI & LLMs. The article discusses Evaluation-Conditioned Training (ECT), which directly addresses a pain point for developers building AI agents by improving their adaptability to varying oversight conditions. It provides a practical framework and code implementation that can be integrated into existing training pipelines, making it actionable for the target audience.","\u002Fsummaries\u002Fdefa0bd3939e07d1-evaluation-conditioned-training-for-stronger-overs-summary",{"title":6597,"description":59},{"loc":6646},"defa0bd3939e07d1","summaries\u002Fdefa0bd3939e07d1-evaluation-conditioned-training-for-stronger-overs-summary",[94,92,93,95],"Evaluation-Conditioned Training (ECT) improves model performance by training agents to adapt their behavior based on the strength of the oversight regime they operate under, ensuring better generalization.",[95],"FqjpDcuh-tSP32qn-_97ndB86vJ8deFMcPldhgeYshQ",{"id":6656,"title":6657,"ai":6658,"body":6663,"categories":6709,"created_at":66,"date_modified":66,"description":59,"extension":67,"faq":66,"featured":68,"kicker_label":66,"meta":6710,"navigation":82,"path":6717,"published_at":6718,"question":66,"scraped_at":6718,"seo":6719,"sitemap":6720,"source_id":6721,"source_name":88,"source_type":89,"source_url":6714,"stem":6722,"tags":6723,"thumbnail_url":66,"tldr":6724,"tweet":66,"unknown_tags":6725,"__hash__":6726},"summaries\u002Fsummaries\u002F3ab4777dbaf8280b-sbco-self-supervised-verifier-grounded-harness-opt-summary.md","SBCO: Self-Supervised Verifier-Grounded Harness Optimization",{"provider":7,"model":8,"input_tokens":6659,"output_tokens":6660,"processing_time_ms":6661,"cost_usd":6662},3997,533,3116,0.00179875,{"type":14,"value":6664,"toc":6705},[6665,6669,6672,6676,6679,6682,6702],[17,6666,6668],{"id":6667},"the-challenge-of-agentic-planning","The Challenge of Agentic Planning",[22,6670,6671],{},"Planning agents often struggle with long-horizon tasks where errors compound over time. Traditional methods for improving these agents frequently rely on massive amounts of human-annotated data or expensive reinforcement learning setups. The SBCO (Self-Supervised, Verifier-Grounded Harness Optimization) framework addresses this by creating a self-improving loop that relies on verifiers—automated systems capable of checking the correctness of an agent's intermediate steps—to guide the optimization process.",[17,6673,6675],{"id":6674},"the-sbco-mechanism","The SBCO Mechanism",[22,6677,6678],{},"SBCO operates by grounding the agent's planning \"harness\" (the underlying structure that manages state and action selection) in feedback provided by a verifier. Instead of relying on external supervision, the agent generates trajectories, and the verifier evaluates them against task-specific constraints or success criteria.",[22,6680,6681],{},"Key components of the approach include:",[33,6683,6684,6690,6696],{},[36,6685,6686,6689],{},[39,6687,6688],{},"Self-Supervision:"," The agent uses its own successful trajectories to refine its internal model of the environment and task requirements.",[36,6691,6692,6695],{},[39,6693,6694],{},"Verifier-Grounded Optimization:"," The verifier acts as a signal to prune ineffective search branches and prioritize paths that satisfy logical or functional requirements.",[36,6697,6698,6701],{},[39,6699,6700],{},"Harness Refinement:"," By iteratively updating the planning harness based on verifier feedback, the agent becomes more robust at navigating complex decision spaces, effectively learning to \"self-correct\" before committing to a final action.",[22,6703,6704],{},"This approach shifts the burden from manual data collection to the design of effective verifiers, which are often easier to define for technical or logic-based tasks than full-path demonstrations.",{"title":59,"searchDepth":60,"depth":60,"links":6706},[6707,6708],{"id":6667,"depth":60,"text":6668},{"id":6674,"depth":60,"text":6675},[65],{"content_references":6711,"triage":6715},[6712],{"type":72,"title":6713,"url":6714,"context":76},"SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10157",{"relevance":6582,"novelty":78,"quality":78,"actionability":79,"composite":6583,"reasoning":6716},"Category: AI & LLMs. The article presents a novel framework (SBCO) for optimizing planning agents, which directly addresses the challenge of improving decision-making accuracy in AI systems, a core concern for product builders. It offers insights into self-supervised learning and verifier-grounded optimization, which can be applied in practical AI development, though it lacks detailed implementation steps.","\u002Fsummaries\u002F3ab4777dbaf8280b-sbco-self-supervised-verifier-grounded-harness-opt-summary","2026-08-13 03:25:43",{"title":6657,"description":59},{"loc":6717},"3ab4777dbaf8280b","summaries\u002F3ab4777dbaf8280b-sbco-self-supervised-verifier-grounded-harness-opt-summary",[94,92,93,95],"SBCO is a framework for optimizing planning agents by using self-supervised, verifier-grounded harness optimization to improve decision-making accuracy without requiring extensive human-labeled data.",[95],"96hhfkXzofp1eFzO0R1VlVSv2fVxWQqWCE1rMVAmYnc",{"id":6728,"title":6729,"ai":6730,"body":6735,"categories":6763,"created_at":66,"date_modified":66,"description":59,"extension":67,"faq":66,"featured":68,"kicker_label":66,"meta":6764,"navigation":82,"path":6772,"published_at":6773,"question":66,"scraped_at":6773,"seo":6774,"sitemap":6775,"source_id":6776,"source_name":88,"source_type":89,"source_url":6768,"stem":6777,"tags":6778,"thumbnail_url":66,"tldr":6779,"tweet":66,"unknown_tags":6780,"__hash__":6781},"summaries\u002Fsummaries\u002F0b2f0c8aac8b2afe-mesa-task-adaptive-evidence-selection-for-agent-me-summary.md","MESA: Task-Adaptive Evidence Selection for Agent Memory",{"provider":7,"model":8,"input_tokens":6731,"output_tokens":6732,"processing_time_ms":6733,"cost_usd":6734},4038,439,2358,0.001668,{"type":14,"value":6736,"toc":6758},[6737,6741,6744,6748,6751,6755],[17,6738,6740],{"id":6739},"the-challenge-of-long-horizon-agent-memory","The Challenge of Long-Horizon Agent Memory",[22,6742,6743],{},"Agents operating over long time horizons face a critical bottleneck: the 'needle in a haystack' problem. As agents accumulate vast amounts of interaction history, standard retrieval methods—typically based on simple semantic similarity—often fail to capture the specific evidence required for complex, multi-step tasks. This leads to memory noise, where irrelevant information obscures the context needed for effective decision-making.",[17,6745,6747],{"id":6746},"the-mesa-framework-multi-structure-evidence-selection","The MESA Framework: Multi-Structure Evidence Selection",[22,6749,6750],{},"MESA (Multi-Structure Evidence Selection) addresses this by moving beyond flat retrieval. Instead of treating memory as a monolithic block, MESA organizes and retrieves information using a task-adaptive approach that leverages multiple structural representations of the agent's history. By dynamically selecting the most appropriate structure based on the current task requirements, the agent can isolate high-fidelity evidence from long-term logs.",[17,6752,6754],{"id":6753},"improving-agent-reasoning-and-efficiency","Improving Agent Reasoning and Efficiency",[22,6756,6757],{},"By implementing task-adaptive selection, MESA ensures that the LLM receives a curated 'evidence set' rather than a generic retrieval output. This reduces the cognitive load on the model, minimizes hallucinations caused by irrelevant context, and significantly improves the success rate in long-horizon planning. The framework demonstrates that the way memory is structured and retrieved is as important as the capacity of the memory itself, providing a scalable path for agents to maintain coherence over extended operational periods.",{"title":59,"searchDepth":60,"depth":60,"links":6759},[6760,6761,6762],{"id":6739,"depth":60,"text":6740},{"id":6746,"depth":60,"text":6747},{"id":6753,"depth":60,"text":6754},[65],{"content_references":6765,"triage":6770},[6766],{"type":72,"title":6767,"url":6768,"context":6769},"MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.10108","reviewed",{"relevance":78,"novelty":78,"quality":78,"actionability":79,"composite":80,"reasoning":6771},"Category: AI & LLMs. The article discusses a novel framework (MESA) for improving agent memory retrieval, which directly addresses a pain point for developers working with AI agents. It presents new insights into memory structuring and retrieval methods, but lacks specific implementation details that would allow immediate action.","\u002Fsummaries\u002F0b2f0c8aac8b2afe-mesa-task-adaptive-evidence-selection-for-agent-me-summary","2026-08-13 03:25:42",{"title":6729,"description":59},{"loc":6772},"0b2f0c8aac8b2afe","summaries\u002F0b2f0c8aac8b2afe-mesa-task-adaptive-evidence-selection-for-agent-me-summary",[94,92,93,95],"MESA improves long-horizon agent performance by using a task-adaptive, multi-structure memory selection framework that retrieves relevant evidence more effectively than standard retrieval methods.",[95],"Dz4slHX_HwVpoD0ZOCHGO5SHHsNnY3ogQbREkhR7saU"]